Sharp thinking on building modern software

AI Audit Logs as Compliance Evidence: What to Capture, Retain, and Present to Regulators

Building an AI System Registry That Actually Satisfies Regulators

Multi-Model Enterprise AI: Why Model Flexibility Is a Governance Requirement, Not a Feature

How to Choose an Enterprise AI Platform: 8 Questions Every Compliance and IT Leader Must Ask

The Context Tax: How Enterprise AI Costs You 50 Hours Per Employee Per Year

AI in Financial Services: What FINRA, MiFID II, DORA, and the EU AI Act Require

Enterprise AI Cost Control: Token Budgets, Per-Team Limits, and Real-Time Budget Alerts

AI Governance vs AI Compliance: The Difference That Determines Your Risk

CSRD AI Emissions Reporting: A Practical Step-by-Step Guide for Sustainability Teams

Engram: How Persistent AI Memory Turns Every Interaction Into Organisational Intelligence

Enterprise AI Content Policies: Why Per-Team Governance Outperforms Platform-Wide Controls

EU AI Act Risk Classification: A Step-by-Step Guide for Compliance Teams

How RAG Works in Enterprise AI — And Why Your Knowledge Base Architecture Determines Answer Quality

Why Enterprise AI Gets Your Company-Specific Questions Wrong

Prompt Injection and the 6 Threat Categories Targeting Enterprise AI Platforms

CSRD and AI Carbon Emissions: What 50,000 EU Enterprises Are Required to Report

Shadow AI: The Enterprise Governance Gap That Regulators Are Coming For

EU AI Act: What Every Enterprise Must Do Before August 2026

100 OpenClaw Use Cases You Can Try Today

Most people still use AI as a chat window. Ask something, get something back, move on. That works for isolated tasks. It doesn’t do much for the work that keeps returning every day. OpenClaw works differently. It runs persistently, connects to the tools you already use, and handles ongoing workflows across inbox, calendar, files, code, research, CRM, and content. That changes the role of AI from assistant to operating layer. This article walks through 100 practical OpenClaw use cases across personal productivity, business operations, development, and creative work. Some save a few minutes a day. Some remove recurring admin entirely. Some create systems that keep compounding once they are in place. The right way to read it is simple: find the one use case that would improve your week immediately, get it working well, and build from there.

The Complete OpenClaw Setup & Installation Guide

OpenClaw turns AI from something you talk to into something that actually works for you. It runs continuously, connects to your tools, and executes real tasks across your systems. This guide breaks down what matters: which tools to enable, which risks to control, and how to configure an agent that delivers value without turning into a liability.

Staff Augmentation Evolved: Three Strategic Models to Navigate the AI Era and Market Uncertainty

Underwriting Automation with AWS Bedrock: Why Deterministic Control Beats Autonomous AI

Building a Payment Reconciliation Agent on AWS: Architecture Walkthrough

Enterprise AI Agents in 2026: The Maturity Map

Enterprise AI agents are scaling fast, but most organizations are not ready for full autonomy. This guide breaks down the five levels of the Agentic AI Maturity Pyramid – from chatbots to autonomous systems – and explains how to move from experimentation to production without losing trust, control, or ROI clarity.

Engineering Continuity in Regulated Systems: How Staff Augmentation Evolves into Delivery Pods

Regulated platforms fail when execution loses context. Traditional staff augmentation fills skill gaps but rarely protects the institutional knowledge that compliance depends on. Delivery Pods — pre-balanced, cross-functional units — solve this by designing continuity into the delivery model itself. Learn how organizations move from individual augmentation to strategic delivery partnerships that preserve system memory across team changes and modernization cycles.

Legacy System Modernization: A Practical Framework

This article reflects insights from Sphere's engineering and consulting teams, drawing on 20+ years of experience modernizing enterprise platforms. Our approach is grounded in real project outcomes — 80+ applications optimized, 92% improvement in deployment speed, and 2x faster feature delivery after removing legacy bottlenecks.

The Rise of Physical AI: What Actually Works and What You Need to Know

Physical Intelligence raised $600 million at a $5.6 billion valuation for software that acts as a universal brain for robots. The hype is real, but so is the gap between lab demos and production reality. We break down what actually works in Physical AI today, the three hard problems nobody's solving yet, and why investors are betting billions on robot brains instead of robot bodies.

LLM Observability: Jagged AI, Real Economics, and the Work of Making It Real

LLMs aren’t “bad” or “overhyped” – they’re jagged: impressive on benchmarks, brittle in real workflows. This article explains why that gap shows up as real cost in production, and why LLM observability is the foundation for turning capability into predictable throughput. You’ll see how observability, evaluation-driven development, guardrails, RAG, and agentic checkpoints work together to make GenAI reliable, governable, and worth scaling.

NetSuite SuiteQL Schema Changes: What Breaks First and How to Fix It

NetSuite’s shift to the NetSuite2.com SuiteAnalytics data source introduces a new SuiteQL schema—and it’s already breaking reporting, integrations, and warehouse pipelines. Tables and fields move, joins behave differently, and permissions tighten, so “just fix the query” turns into a whack-a-mole exercise across workbooks, scripts, ETL jobs, and iPaaS flows. This guide explains what changed, what fails first, and Sphere’s playbook to regain control: Assess → Stabilize → Modernize.

Technical Due Diligence for Startups: A Checklist

A comprehensive, print-ready guide covering 250+ critical items investors evaluate across 11 key areas – from code quality and security to AI/ML and scalability. Includes self-assessment tools, stage-specific guidance, and a 6-month preparation roadmap to help you ace your next funding round.

AI-Powered Legacy System Modernization: Turning the Ceiling into a Launchpad

Healthcare and life sciences organizations reach a turning point where legacy infrastructure, siloed workflows, and fragmented data can no longer support the pace of change. True transformation comes from strengthening the foundation: modernizing core systems, building integrated architectures, and aligning people around a clear strategy. Companies that invest in clarity, robust infrastructure, and disciplined execution unlock sustainable innovation and long-term resilience — without silos, shortcuts, or wasted momentum.

Building the Foundation for Scalable Growth

Healthcare and life sciences organizations reach a turning point where legacy infrastructure, siloed workflows, and fragmented data can no longer support the pace of change. True transformation comes from strengthening the foundation: modernizing core systems, building integrated architectures, and aligning people around a clear strategy. Companies that invest in clarity, robust infrastructure, and disciplined execution unlock sustainable innovation and long-term resilience — without silos, shortcuts, or wasted momentum.

AI Memory vs. Context Understanding: The Next Frontier for Enterprise AI

Most enterprise AI failures in 2025 had nothing to do with model quality. They failed because the systems didn’t understand context — who the user was, what problem they were solving, and how information related across departments and data silos. Adding more “memory” didn’t fix it. Persistent chat logs and vector databases only stored facts; they didn’t create meaning. The next generation of enterprise AI must treat context as a living system: continuously curated, governed, and shared across every model and agent in the organization. When context becomes a core design principle, AI stops guessing and starts reasoning. It stops recalling text and starts connecting knowledge. That’s when ROI appears — not from bigger models, but from smarter architectures that integrate data, identity, and governance into every answer.

Predictive Maintenance in Manufacturing: IoT Data to AI-Driven Cost Savings

Predictive maintenance is no longer a theory — it’s how modern manufacturers are keeping production lines running. By combining IoT sensor data with AI analytics, companies can predict equipment failures before they happen, cutting unplanned downtime by up to 50% and reducing maintenance costs by a quarter. In this article, Sphere explains how to move from reactive fixes to proactive intelligence — and what it takes to turn machine data into measurable ROI.

Contact Center Transformation and Modernization: From Cost Center to Loyalty Driver

Every interaction in your contact center shapes customer trust. Too often, companies treat it as a cost to cut rather than a strategic driver of loyalty and growth. This article explores how modernization—powered by AI, cloud migration, CRM optimization, and data unification—turns your contact center into a competitive advantage.

Automated Business Intelligence: How to Move Beyond Dashboards

Most dashboards end up ignored. The future of business intelligence is not about prettier charts, but about real-time decision feeds, AI copilots, and automated actions that drive results. This article explores how companies are moving from being simply data-driven to truly data-powered.

Successful AI Adoption for Your Organization

AI succeeds when people trust it, understand it, and see it improve their work. This guide outlines Sphere’s approach to enterprise AI adoption—pairing domain leaders with data talent, making systems explain themselves, and focusing on the last mile that differentiates your business. From clear rules to partner-led delivery, learn how to build AI solutions that teams embrace and results that last.

How to Prepare Your Healthcare Data for LLMs (Without Breaking Compliance)

Large language models hold transformative potential for healthcare — from clinical summarization to real-time risk detection — but only if used responsibly. In this guide, we outline a step-by-step roadmap to prepare your healthcare data for LLM use without risking compliance violations. From tackling data silos to securing PHI, and from model fine-tuning to governance best practices, discover how to move from fragmented data to safe, AI-ready infrastructure. Plus, learn how Sphere Data Agent helps organizations deploy LLMs up to 3x faster while staying HIPAA-compliant.

Synthetic Data: Fake With Benefits

Synthetic data promises better privacy, faster experimentation, and scalable AI training — but only when done right. At Sphere, we’ve seen that the real differentiator isn’t the generation technique itself, but how and where it’s applied. In this article, we unpack what makes synthetic data valuable, when it works best, and what to look for in a partner.

AI in Logistics and Transportation: 25+ Use Cases

AI in logistics reshapes how fleets move, warehouses operate, and supply chains respond. In this guide, we break down 25+ real-world AI use cases solving everyday challenges for logistics and transportation leaders. From predictive maintenance and route optimization to warehouse automation and emissions tracking, each example speaks the language of COOs, CTOs, and supply chain execs.

How AI Is Transforming Tech Debt, Data Modernization, and the Future of Engineering — Insights from Alex Ter-Zakhariants

In this episode of SphereCast, Field CTO Alex Ter-Zakhariants breaks down what engineering teams actually face when bringing AI into real systems: tech debt, disorganized data, and infrastructure that wasn’t built to scale. From data modernization to AIOps to AI copilots, Alex shares a practical roadmap for building systems that can adapt, not just react. No hype, no shortcuts—just clear thinking about what makes engineering work in an AI-driven world.

Agentic AI for Enterprise Transformation

Agentic and multiagent AI systems are changing how companies work. Software agents can now make decisions, coordinate tasks, and learn from data. These systems are already solving real business problems. Companies use them in finance, customer service, and supply chain operations. Adoption is growing. Smart organizations start small but plan to scale. The goal is not to replace people. It is to free them from routine work and let them focus on what matters. This article explains how to begin, what to watch out for, and how to build a strong AI foundation.

Edge AI Computing Explained: Key Concepts and Industry Use Cases

AI doesn’t need to live in the cloud anymore. From oil rigs with spotty internet to store shelves that restock themselves, Edge AI is quietly revolutionizing how enterprises think, act, and compete. In this piece, we break down what Edge AI Computing really is, why it’s gaining traction now, and how smart organizations are using it to reduce latency, boost privacy, and make better decisions—right where the action happens. If you’re wondering how to stay ahead in a world full of data but short on time, this is your blueprint.

Nearshore vs Offshore Outsourcing for IT: A Staff Augmentation Perspective

When timelines are tight and tech talent is scarce, nearshore and offshore outsourcing are vital tools for IT leaders. But choosing the right model matters. This article breaks down the key differences between nearshore and offshore staff augmentation—from cost and culture to onboarding speed and risk—so you can scale your team strategically and deliver faster results.

Engineering Data Management Without The Headaches

Data is the fuel of modern engineering. Yet many organizations still struggle with silos, outdated files, and fragmented systems that slow down progress and innovation. In this guide, we explore how to streamline engineering data management—from strategy and governance to tools and cloud infrastructure. Whether you're dealing with massive CAD files or real-time IoT streams, this article shows you how to get your data under control and working for you.

Enterprise Data Services: A Complete Guide to Data-Driven Business Transformation

Digital Transformation: Tech Investments for 2025

Leon Ginsburg, CEO at Sphere, shares his perspective on how 2025 will be a defining year for digital transformation. From bridging talent gaps to leveraging AI-driven solutions, Ginsburg highlights the critical factors shaping success, the risks of falling behind, and why ROI-driven tech investments will set leaders apart from laggards.

AI Use Cases for Construction Industry in 2025

Artificial intelligence is revolutionizing the construction landscape, offering advanced solutions to age-old challenges. From predictive maintenance and AI-driven scheduling to generative design and automated safety monitoring, the industry is embracing powerful technologies that streamline operations, cut costs, and boost overall efficiency. In this article, we delve into real-world use cases, backed by data and examples, to show you exactly why AI is no longer optional—it’s the key to building a smarter future.

DevSecOps: Implementation Plan and Toolkit for 2025

DevSecOps is more than a buzzword—it’s a necessity for modern software development. Discover how Sphere’s step-by-step plan and advanced tools can help you seamlessly embed security into your CI/CD pipeline, empowering your teams to deliver secure, high-quality software faster.

Migration from Dropbox to Microsoft 365: A Journey for Enterprises

Is your team juggling disconnected tools for collaboration, storage, and communication? Discover how migrating from Dropbox to Microsoft 365 can revolutionize your workflows with integrated tools, enterprise-grade security, and unmatched scalability. Say goodbye to siloed systems and hello to seamless productivity.

OpenAI Swarm: Multi-Agent Systems Framework

OpenAI’s latest framework, Swarm, enhances AI landscape by moving beyond traditional single-agent models. With the ability to deploy multiple AI agents working collaboratively, Swarm redefines productivity and problem-solving for specialized tasks in simulations, data analysis, and more. This article explores Swarm’s architecture, including unique features like “routines” and “handoffs,” which streamline agent collaboration. From healthcare to smart manufacturing, discover the potential of multi-agent systems and practical tips for integrating Swarm into business infrastructures for enhanced efficiency and scalability.

Modernize Legacy Systems to Elevate Your Insurtech Performance with AI and Cloud Solutions

Modernizing legacy systems is crucial for Insurtech companies seeking to stay competitive in today’s fast-paced environment. This article covers effective strategies like cloud migration, microservices architecture, and AI-driven automation that enhance system performance and reduce operational costs. Discover how integrating data analytics and machine learning can transform legacy platforms into agile, scalable solutions. Our detailed guide provides actionable insights and best practices for minimizing risks during the modernization process. Partner with Sphere Inc. for a comprehensive legacy system transformation that leverages the latest technology trends to achieve sustainable growth and innovation.

Digitalization in Insurance: Enhance Efficiency & Mitigate Risks

Digitalization in insurance has introduced new opportunities, enhancing customer experiences and operational efficiency. Leveraging AI and data analytics, insurers can automate core processes like claims management, underwriting, and fraud detection. These advancements allow companies to better assess risks, provide personalized services, and reduce costs. However, challenges such as cybersecurity risks, regulatory compliance, and legacy systems integration remain. Sphere Inc. provides strategic services, including AI integration and data analytics, to support insurers in navigating these complexities and achieving successful digital transformations. Discover how digitalization can reshape your insurance business.

Revolutionizing Insurance Underwriting with AI for Faster, Accurate Decisions

Artificial intelligence is transforming the insurance underwriting process, allowing insurers to assess risks with greater speed and precision. AI technologies like predictive modeling, natural language processing, and automated data extraction enable underwriters to process large datasets, improve fraud detection, and deliver real-time risk assessments. Despite challenges such as data privacy concerns and algorithm bias, AI’s role in the future of underwriting is undeniable. Insurers adopting AI can gain a competitive edge in accuracy and operational efficiency. Learn how AI can revolutionize your underwriting processes with our detailed insights.

Automated Insurance Underwriting: Transforming the Industry with AI Solutions

Automated insurance underwriting is reshaping the insurance industry by using AI and machine learning to enhance decision-making, reduce processing time, and improve accuracy. This technology allows insurers to streamline complex processes, optimize pricing models, and enhance risk assessment, ultimately providing better service to customers. Implementing AI-driven underwriting solutions involves defining objectives, preparing data, developing models, and integrating systems effectively. Sphere’s AI Professional Services offer end-to-end support for insurers, ensuring a seamless transition to automated underwriting. Discover how AI solutions can transform your underwriting operations and drive business growth with our expert guidance and support.

How Usage-Based Insurance is Revolutionizing the Insurance Industry

Usage-Based Insurance (UBI) is transforming the traditional insurance industry by offering a personalized approach to premiums based on real-world driving behaviors. Leveraging advanced technologies like AI and telematics, UBI allows insurers to gain accurate risk assessments, reduce claim costs, and improve customer engagement. By analyzing data from connected devices, insurers can offer policyholders incentives for safe driving and enhance transparency. As the automotive industry advances towards connected and autonomous vehicles, UBI models are poised to become the future of insurance. Discover how Sphere Inc.'s AI-driven solutions can help insurance providers optimize their UBI strategies and stay competitive in this evolving market.

How AI Insurance Claims Are Transforming the Future of Claims Management

AI is revolutionizing the insurance claims industry by automating repetitive tasks, identifying fraudulent activities, and improving overall efficiency. Traditional claims management, often characterized by lengthy processing times and paperwork, is now being replaced by AI-driven solutions that expedite assessments and provide greater accuracy. AI technologies like machine learning, predictive analytics, and chatbots enable insurers to deliver faster resolutions and more personalized support to policyholders. As the industry evolves, insurance companies embracing AI will gain a competitive edge through reduced costs and improved customer satisfaction. Explore how AI can redefine the future of insurance claims for a more innovative and customer-focused approach.

Claude vs. ChatGPT: Which AI Model is Best for Your Business?

\Claude and ChatGPT are two of the most powerful AI models available today, each offering distinct advantages depending on your business goals. Claude shines with its large context window and cost-effective API access, making it ideal for industries handling large documents or data sets. On the other hand, ChatGPT excels in creative, multimodal tasks and can integrate seamlessly with workflows that require real-time data and images. Whether you need AI for content creation, customer service, or document processing, this article breaks down the strengths of each model to help you make the best decision for your business.

How AI Insurance is Revolutionizing Underwriting and Claims Management

AI is transforming the insurance industry by enhancing underwriting processes, improving claims management, and bolstering fraud detection efforts. With AI-driven tools, insurers can automate risk assessment, offer personalized customer service, and speed up claims processing, leading to higher customer satisfaction. This article explores the full scope of AI insurance solutions, from predictive analytics to operational efficiency. As AI continues to revolutionize the sector, insurers who adopt these innovations will gain a competitive advantage. Learn how AI insurance is driving efficiency, improving accuracy, and reshaping the future of the industry.

How Predictive Analytics in Healthcare is Transforming Patient Outcomes

Predictive analytics in healthcare is revolutionizing patient care by providing data-driven insights that allow healthcare professionals to anticipate medical issues and make proactive decisions. By identifying at-risk patients, optimizing hospital resources, and preventing costly equipment breakdowns, predictive analytics plays a key role in improving patient outcomes and reducing healthcare costs. Explore how hospitals and healthcare providers are using this technology to deliver personalized treatments, reduce readmission rates, and streamline operations. Learn how predictive analytics is driving the future of healthcare by enhancing patient care and operational efficiency.

Chicago's Tech Leaders Discuss AI, Digital Transformation, and the Road Ahead

Small Language Models (SLMs): Tiny Outperformers

As businesses strive to stay ahead in the AI race, they face a critical decision: embrace the power of sophisticated language processing with high costs or find a more sustainable alternative. Enter Small Language Models (SLMs)—compact, efficient, and highly specialized. SLMs provide a cost-effective solution without compromising on performance, making advanced AI accessible to more organizations. In this article, we explore the architecture, applications, and future of SLMs, highlighting their growing importance in a rapidly evolving AI landscape.

Crafting Excellence: Building High-Performing AI Teams

Sphere Partners with JFrog to Accelerate Software Delivery and Strengthen Security

Digital Twins: Use Cases, Technologies, and More

Stepping into the future with Digital Twins technology offers businesses an unparalleled advantage in operational efficiency and strategic foresight. At Sphere, we specialize in crafting bespoke Digital Twins solutions that not only replicate but also enhance your physical assets through real-time data and predictive analytics. Dive deeper into how our innovative approaches are helping industries from manufacturing to healthcare not just compete but dominate in their sectors.

AI and IoT in Construction: Unlocking the Value

The construction industry is experiencing a technological revolution driven by AI and IoT. These advancements are transforming traditional practices, enabling more efficient, safe, and cost-effective project outcomes. Companies like PCL Construction, Lendlease, and Turner Construction are leading the way, leveraging IoT sensors and AI algorithms to optimize operations, enhance safety, and improve project management.

Product Operations 101: Do You Need It, What They Do, and How to Benefit from Them

Dive into the world of Product Operations with our comprehensive guide. Discover how integrating ProdOps into your business can streamline your product development, enhance efficiency, and significantly improve your product's market performance.

Be a Know-It-All All the Way to the Top

In an era where efficiency and adaptability are paramount, Generative AI emerges as a game-changer for modern professionals. This article delves into how AI is revolutionizing the workplace by automating routine tasks, enhancing decision-making, and creating opportunities for personal and professional growth. Discover how embracing AI can be your strategic advantage in climbing the corporate ladder, enabling you to focus on innovation and strategic tasks that truly matter.

Reuters Digital Health 2024 Conference: Key Takeaways

In a significant move towards enhancing operational efficiency and patient care, the conference showcased how Generative AI is being adopted within clinical settings. Experts like Sarah McKinley MD demonstrated Dyna AI's impact in reducing clinical response times by 20%, heralding a new era of intelligent healthcare solutions. Simultaneously, discussions led by Jessica Hauflaire emphasized the critical role of integrating clinical data to support value-based care, ensuring a comprehensive approach to patient management.

Solutions Architects: On the Origin of Species

Solutions Architects play a crucial role in the digital transformation of companies, aligning technological capabilities with strategic business objectives. As global spending on digital transformation is projected to hit $3.4 trillion by 2026, these professionals ensure that technology investments enhance, rather than just support, business operations. By analyzing business requirements and crafting scalable, sustainable architectural solutions, Solutions Architects help companies avoid costly mismatches between technology and business needs. Their strategic guidance on technological trends helps businesses stay agile and responsive to market dynamics, making them indispensable in modern business environments.

Future of Insurance USA 2024: Sphere Partners' Key Learnings and Insights

At the Future of Insurance USA 2024 in Chicago, Sphere Partners gained deep insights into the evolving landscape of the insurance industry. Key discussions highlighted the significant impact of AI in transforming insurance processes, from claims handling to underwriting. With detailed case studies from industry leaders and our own advancements in Gen AI solutions, Sphere demonstrated its commitment to leveraging technology to enhance operational efficiency and customer interaction. This event underscored the essential role of innovative technology in overcoming industry challenges and shaping the future of insurance. Join us as we continue to drive forward with strategic tech initiatives designed to modernize the insurance sector and deliver superior service to our clients.

Robotic Process Automation: An Insurance for the Insurance Industry

The global insurance industry is in the midst of a significant transformation, driven by technological advancements and evolving consumer demands. As InsurTech startups and tech-savvy competitors redefine the landscape, traditional insurers are compelled to embrace digital innovation to remain competitive. In this dynamic environment, Robotic Process Automation (RPA) emerges as a pivotal tool, empowering insurers to enhance operational efficiency and agility in an increasingly digital world.

Sphere Heads to the Future of Insurance USA 2024 in Chicago

At Sphere, we offer a comprehensive suite of services designed to revolutionize the insurance industry. From generative AI that transforms client interactions to advanced data modernization strategies and legacy software updates, our solutions significantly enhance operational efficiency and customer satisfaction. Our expertise is demonstrated through our successful partnerships with leading insurers and an impressive client retention rate. Discover how our cutting-edge technologies and custom software solutions are setting new standards at the Future of Insurance USA 2024.

Data+AI Summit: Visiting the Partners

Sphere's leadership, Leon Ginsburg and Mario Schwarts, will be at the Data+AI Summit 2024 to gather insights and share their expertise on the evolving landscape of data and AI. From platform health checks to advanced data engineering strategies, their mission is to enhance Sphere's offerings and drive digital transformation for clients.

AI in Finance Trends: What to Expect in 2024

Discover the future of AI in finance with insights from the AI in Finance Summit. Joe Nestory, Business Development Director at Sphere, explores AI's evolving role, highlighting trends like governance, data readiness, and regulatory compliance. He shares how AI can fight fraud, enhance customer support, and drive smarter investment strategies. Embrace AI's potential to transform your financial institution, with Sphere guiding you through the evolving landscape.

Optimizing Wealth Management: Leveraging Automation, Analytics, and AI for Better Client Outcomes

The wealth management industry is embracing artificial intelligence (AI) and automation to drive better client outcomes. As the Wealth Management EDGE conference approaches in Florida, industry leaders are focusing on AI's role in transforming wealth management, with Gartner projecting a 23.8% compound annual growth rate (CAGR) for AI in wealth management through 2027. Sphere's GenAI Readiness Program prepares wealth management firms to leverage AI through educational workshops, technology assessments, and pilot projects. Key applications of AI in wealth management include "next best action" recommendations, personalized financial planning, real-time market insights, and AI-powered customer interactions. The adoption of AI is poised to offer competitive advantages, with firms that invest in digital capabilities expected to thrive in this rapidly evolving sector.

Experience Sphere's Innovations at AI World Congress and Digital Healthcare Show 2024 in London

Sphere is thrilled to be part of two prestigious events in London: the AI World Congress and the Digital Healthcare Show 2024. As a leader in data and AI solutions, we're eager to showcase our latest innovations and connect with industry professionals. Join us to learn how our cutting-edge AI technologies can transform business operations, improve customer experiences, and drive innovation in both the tech and healthcare sectors. With a focus on AI in business strategy, machine learning applications, and data modernization in healthcare, we aim to provide insights that will empower your organization for the future. Whether you're seeking AI-driven automation or comprehensive staff training, Sphere has the expertise to help you navigate the rapidly evolving landscape of technology.

Staff Augmentation vs. Managed Services: Cost, Flexibility, and More

Join Sphere at the Global InsurTech Summit 2024 in London!

How to Use Gen AI for Your Clients: The Guide for Service/Portfolio Companies

Staff Augmentation in 2024: Navigating Trends for Success

Explore the transformative trends in staff augmentation for 2024, including global talent pools, AI efficiencies, and enhanced data security. Learn how leveraging the gig economy and expert vetting processes can drive your business's innovation and success.

From Tradition to Transformation: How Generative AI is Redefining Our Work

This text delves into the transformative power of Generative AI in the professional sphere, recounted through the experiences of a Project and Delivery Manager with international tech-business management background. The narrative covers the shift from traditional methodologies to digital transformation, emphasizing the role of Generative AI in enhancing workflows, productivity, and communication within various sectors including banking, healthcare, and digital entrepreneurship. The discussion extends to specific tools like ChatGPT and Microsoft's Copilot, underlining the evolving nature of work in the face of technological advancements.

The Future of Health IT Teams: What to Expect in 2030

The future of Health IT teams by 2030 is set to revolutionize healthcare institutions with an emphasis on data science, cybersecurity, and technological innovation. Experts predict significant shifts in team dynamics, with a focus on data analysis skills, facing cybersecurity challenges, and adapting to automation and hybrid environments. As the healthcare industry prepares for these inevitable changes, understanding and implementing advanced technological strategies will be crucial for success.

Empowering Developers with AI: Insights from Sphere

This article delves into the experiences of Sphere engineers with AI technologies, particularly focusing on GitHub Copilot and ChatGPT. The piece contrasts these tools' capabilities, from enhancing code suggestions to supporting the entire software development process.

Exploring the Integration of AI in Software Development: A Full-Stack Developer's Perspective

Dive into Sphere's full-stack developer journey with AI – from tackling code with GitHub Copilot to unleashing problem-solving insights with ChatGPT. Explore the potential of AI in software development projects: which tools are truly handy, how many hours can you save, and what's the next big thing? Pavel Korchak shares his insights.

When Space Meets Health: Unveiling a Future of Medical Innovation

Discover how the 'When Space Meets Health' initiative by the European Space Agency is revolutionizing healthcare through space technology. Explore innovative collaborations, cutting-edge solutions, and the future of healthcare and space synergy in our latest blog post at Sphere Partners. Join us in redefining healthcare paradigms with groundbreaking technology.

Annual Budget Planning in Tech Departments: Agile Minds in a Waterfall World

Struggling with annual budget planning? Arm yourself with Sphere's progressive framework, based on the 'T-Shirt sizing' method for effort estimation and the ICE framework for prioritizing ideas. Streamline the process and reduce resource wastage.

Adopting Data and AI Governance in Healthcare

The transformative potential of data and AI governance is still creating a buzz in modern healthcare. Despite this excitement, many practitioners are uncertain about practical implementation and its significance. Through my interactions with clients and colleagues, I have identified several key aspects to address these concerns. In this concise guide, I am excited to share these insights.

Navigating the Next Decade of HealthTech: Digital Strategy, Innovation, and Patient Engagement

The future of healthcare technology focuses on patient-centered innovation, digital strategy, and enhancing patient engagement. Key topics include the importance of user-centered innovation, like telehealth services, the need to improve access to tech-based healthcare, and the strategic decision of building versus buying software to align with long-term digital goals.

AI in Healthcare: Strategies for Success

After attending the 2023 Becker's Hospital Review conference, Igor Meltser, VP of Global Technology Solutions and Services at Sphere, describes the increasing role of AI in healthcare. It addresses workforce shortages and clinician burnout, helping staff with routine tasks and more. In this latest post, the author shares key challenges for healthcare digital transformation, shifting from an IT-centric approach to an operational focus.

Rapid Experimentation in Healthcare: Balancing Innovation, Patient Safety, and Provider Resistance

Igor Meltser, VP of Global Technology Solutions and Services at Sphere Partners, shares insights from a panel discussion at Becker's Healthcare and discusses how the healthcare industry can actively embrace innovation while ensuring patient safety.

Power Up Quickly with Expert Help: The Case for Augmented Developers

When it comes to tailored staff augmentation solutions for tech, companies have the option to bring on experts with various skill sets, from product managers and project managers to business analysts and designers.

Avoiding the ‘Dance of Dysfunction’: How to Bridge the CEO-CTO Gap

Here’s a scene you’ve probably seen play out in a tech company C-suite near you: The CEO bemoans that their CTO (or CIO) “just doesn’t get it,” while the CTO stews over the fact that the CEO “has no clue about our workload!”

Transformative Tech: Walmart Boldly Integrates Generative AI Into the Workplace

As businesses across industries rush to understand and embrace AI to help streamline operations and create new opportunities and efficiencies, Walmart’s move makes it clear that organizations will need partners like Sphere to help synergize human expertise with AI capabilities.

How to Harness the Power of IoMT to Elevate Healthcare Tech and Improve Lives

Here are five ways that IoMT is positioned to make a significant impact on healthcare and life sciences in the coming years.

M&A Success Is Impossible Without Proper Data Integration

Mergers and acquisitions (M&A) have become the catalyst of business growth. But, a successful M&A requires far more than getting the financial numbers right

Healthcare Software Interoperability is Critical: How to Achieve It

In 2023, interoperability is still top of the agenda for leaders and decision-makers, referring to the timely and secure access, integration and use of electronic health data to optimize health outcomes for individuals and populations.

Health and Med-Tech Startups: Outsource Your Product Ownership

The demand on the product manager can become overwhelming, and in these circumstances, it's easy to lose sight of your time-to-value. Why is that function vital for your health tech project, and how to find the rare gem you and your team need?

Data is Not a Gold Mine

Every patient, test, scan, diagnosis, treatment plan, medical trial, prescription and final health outcome produces a data point that can help improve how we deliver care in the future.

How to Navigate Technical Debt: A Guide for Business Leaders

Speed is everything in modern business. We race to evolve, innovate, optimize, and streamline — always seeking the latest technology to help us be faster and more agile.  However, this constant and frenetic drive for progress can come with a hidden cost: technical debt.

Electrify 23: Driving Decarbonization

Living Longer, Living Better: What Tech Leaders Can Learn from a Longevity Doctor’s Bestselling Book

Like many of you, the team at Sphere Partners is on a mission to improve the lives of all humans we touch through our products, technology, strategy, and innovation. Our dedication to enhancing lifetime well-being feels even more relevant when one considers the longevity wisdom Dr. Attia shares in “Outlive.”

Unveiling the Truth: A Tech CEO Perspective - Most Products Are in Fact Projects

As the founder and CEO of a global technology consulting and software engineering firm, here’s another reality of modern business I see far too often: Most products that companies say they’re developing are really just projects.

Experienced Engineers Critical for EMSP Business Growth

Experience matters when it comes to EMSP updates and integrations, and that's why skilled software engineers are crucial. With their expertise, they navigate the complex landscape of integrating new technologies, ensuring smooth EMSP updates and seamless system integrations.

Accelerating the Transition to Electric Vehicles and a Sustainable Futures

As electric vehicles (EVs) continue to gain prominence, the role of EMSPs becomes increasingly vital in driving the transition to electric mobility.

The Imperatives of Considering Different Approaches to Electric Vehicle Charging Platform Integration Management

It is imperative to consider different ways to integrate and update your EV EMSP systems. Our software engineers have the experience you need.

Sphere Partners Strengthens Data and AI Footprint with New Practice Lead: Sundip Gorai Joins the Team

Sphere Partners is excited to announce the appointment of Sundip Goral as Data, AI, & Analytics Practice and Chief Data Officer.

Smart Solutions for B2B: Best AI Chatbots for the Tech-Empowered Industries

While ChatGPT is considered one of the best AI chatbots, tech companies have plenty of other options that may better meet their needs.

Katerina Korotkova Joins Sphere as Director of Product Strategy and Portfolio Management, GM of E-Mobility

Sphere Partners is delighted to announce the appointment of Katerina Korotkova as the Director of Product Strategy and Portfolio Management and General Manager for E-Mobility.

8 Mistakes to Avoid During Technical Due Diligence and Mergers & Acquisitions

The Synergy of M&A and Technical Due Diligence: The Optimal Approach for Successful Mergers and Acquisitions

To ensure a successful merger or acquisition, comprehensive due diligence is crucial. Technical due diligence brings a unique set of skills and expertise that, when combined with M&A expertise, creates a powerful alliance.

How to Know When Your Monolithic Software is Holding You Back — and What To Do About It

There are six surefire signals that point to it being time to pivot from monolithic architecture to microservices or modular architecture.

The Role of Sustainable Software Development in Electric Vehicles: Driving Towards a Greener Future

8 Critical Tech Due Diligence Questions for IT Company Leaders

The Secret Sauce of Change Communication

Fostering Positive Company Culture with IT Staff Augmentation

Advancing the Future of Electric Vehicle Mobility

Transforming EV Charging Technology and Addressing Network Disruptions

What Can We Learn From Norway’s Fast Adoption of Electric Vehicles

Addressing Electric Vehicle Charging Issues Caused by Simultaneous Demand on Power Grid

8 Essential Metrics and KPIs Manufacturers Should Be Tracking Now

10 Reasons Acumatica is an Ideal Cloud ERP Solution

The Battle Between Action Bias and Pareto Principle

How ChatGPT Can Improve the Software Development Life Cycle

How to Choose a Staff Augmentation Company

Build-Measure-Learn Cycle for MVPs And Software Development

Staff Augmentation: New Employee Onboarding Guide

The Ideal Software Development Team Structure

The Basics of PCI: What Every Merchant Should Know

Resource Augmentation: A New Means of Enhancing Your Team

Learn with Sphere: How to improve the performance of client-side applications

ChatGPT vs. Bard: The Battle of the AI Bots

MVP in 2023: Hedging Against Market Downturns with a Strong Prototype

2023 US Bank Collapses and How Businesses Can Reduce Impact

Maximizing Growth Potential: Overcoming Common OKR Mistakes

Staff Augmentation vs Dedicated Outsourcing: Which Model Works Best for Your IT & Software Projects?

10 Areas to Cut Spending and Increase Profitability

Outsourcing Software Development: Pros and Cons

Measure What Matters: A Book Summary By Boris Korenfeld

10 Staff Augmentation Best Practices to Help You Succeed

The Keys to Effective Organizational Change

Turn this crisis into a good thing - are you prepared for the road ahead?

6 Key Takeaways from Acumatica Summit 2023

Shortfalls of Staff Augmentation and How to Mitigate Them

Seven Low-Cost Projects to Increase Efficiency & Profitability

Cloud Lift and Shift: Definition, Benefits & Planning

Ways to Improve Your Cost Management Strategy

Launching a Tech Executive Advisory Offering

Is Staff Augmentation the Solution to the Technical Talent Shortage?

AI Trends in 2023: Analyzing Current AI Data Solutions and Business Integrations—and Predicting What Artificial Intelligence Evolutions May Follow

Why Should Tech Leaders Care About ERP?

Attending Acumatica Summit in January is the Best Technology Investment You Can Make in 2023

Staff Augmentation: is it the most cost-effective solution for businesses?

Iterative vs. Incremental Development: Explaining the Differences

Learn with Sphere: Business Analysis: Common Mistakes and Best Practices

BI Tools Comparison: Choosing the Right BI Tool For Your Business

Today's Systems Integration: What, Why and How?

Acumatica and monday.com Integration: Scaling the Power of Both Systems

What Are The Top Cloud Hosting Providers You Should Consider (And Why?)

How To Develop An MVP Using Agile Methodology

Learn with Sphere: Business Analytics and the Product Lifecycle

Top 10 Acumatica Integrations

GA4 Migration Guide

ERP Document Management: Determine what you need

The Fundamentals of Data Storytelling

Acumatica is the Best ERP Replacement for Sage 500

The importance of a diversified development pool

AWS vs. Azure Cloud Services: 2023 & Beyond

17 features that make Acumatica a leading cloud ERP

Technology events in US to watch out for in the latter half of 2022

5 Steps to Building a Minimum Viable Product (MVP)

How to Develop a Robust Cloud Cybersecurity Strategy in 2022

Outsourcing software development for start-ups: what to consider

Cloud ERP vs On-Premise: Which One Is Best For Your Business?

Why you should consider an open-source ERP

Open-source ERP’s offer several distinct advantages over more traditional models. This article explores the pros and cons of such software.

Cloud Cybersecurity: Post Cloud Data Migration

Cybersecurity: passwordless is the new frontier

How has Apple’s Swift changed and what can it offer developers in 2022 and beyond?

How To Build A Cybersecurity Strategy

Flutter vs React Native: Which one is better in 2022?

Learn with Sphere: Importance of Retrospective in Scrum Implementation

How AR/VR is opening mobile app development to new possibilities

How Custom-Built Software Is Better Than Out-Of-The-Box

A note from Sphere Partners CEO Leon Ginsburg on the 2022 Russian invasion of Ukraine

The Risk of Selecting the Wrong Technology

What is The Future of Spatial Computing?

What Is DevSecOps?

Developers can now use Python within Snowflake

IT Due Diligence Checklist

10 Technologies that will Disrupt Businesses in 2022

Here are 10 technologies that we believe will disrupt businesses in 2022 and beyond.

What is IoB (Internet of Behaviors)?

IoB or internet of behaviors is a somewhat recent phrase that refers to the combination of physical and digital worlds through devices such as sensors and smartphones, and connected to the cloud allowing them to send and receive data to provide value either in a closed or open ecosystem.

3 Innovations from SuiteWorld 2021 to Power Growth in 2022

The SuiteWorld 2021 conference in Last Vegas was filled with many takeaways and NetSuite founder and executive vice president Evan Goldberg shared three innovations to power your company’s growth in 2022.

The Best Static Site Generators For Your Website in 2022

A static site generator is a tool that generates a full static HTML website based on raw data and a set of templates. Basically -  a static site generator automates the task of coding individual HTML pages and gets those pages ready to serve to users ahead of time.

Learn with Sphere: QA Automation with Percy

Data Governance Is More Important Than Ever: Best Practices And Examples

To create a strong, well-supported data governance strategy, you need to secure internal buy-in across the organization. Data governance also allows companies to make the most of the data they hold.

React vs. Vue vs Angular: Which is Better?

This guide should help you decide between React, Vue and Angular frameworks for your next web project.

The Best monday.com Integrations

Monday.com is a popular project management tool with many popular integrations, here are some of the best ones to choose from.

Low Code Development Platform Trends to Watch

Learn with Sphere: Light Intro to R Programming Language

My name is Denis Shvedchenko, Data Engineer and Back End Developer at Sphere Partners. This is a light introduction to R programming language.

RPA and the Future of Business Automation

RPA is all about automating business processes - customer service workflows, customer satisfaction surveys, or data entry. Automating tasks saves time and frees up employees to do more important things in business. That's exactly why RPA is on the rise. Let's dig in on what it is and how it can benefit your business.

Learn with Sphere: How to create an NPM package from scratch

What’s your JAM? JAMstack vs Monolithic Web Architectures

Learn with Sphere: How to build and optimize docker images

Is Python Fast Enough for Machine Learning?

Sphere Partners is a Certified Great Place to Work™

Learn with Sphere: Design Features in Augmented Reality (AR)

Staff Augmentation: The Ultimate Win-Win Situation For IT Companies And Their Clients

When you need to staff a project but bringing aboard another full-time employee to your company is not feasible, staff augmentation may be the solution you’re looking for.

How to Hire the Top 1% of IT Talent Python Developers

The Changing Role of Augmented Reality in the Enterprise

Learn with Sphere: How to Build SSO solution on top of Amazon Cognito

Websites vs Progressive Web Apps vs Native – What’s the Difference?

Learn with Sphere: Micro Frontends: Module Federation Approach

In this article, our Full-Stack Software Developer, Evgenii Gordeev, takes us through a short journey through the history of micro frontends, followed by a use case of building a modern composite frontend based on the Webpack Module Federation.

TensorFlow.js vs. Keras - a Quick Comparison

What's the difference between TensorFlow and Keras and when do I use which one? In this post we explore these popular machine learning frameworks and explore the differences.

Learn with Sphere: Modern Backend: The Universal Pipeline

Learn with Sphere: Google Cloud Machine Learning Pipeline: An approach to building an automated scalable ML pipeline using GCP

Why ERP in the Cloud is an Opportunity in 2021

With the massive increase in work being done with distributed global teams often working from home, the opportunity for companies still using legacy ERP systems, is that there’s no better time like the present to continue to move your ERP to the cloud.

Learn with Sphere: Machine Learning Walkthrough using LabelBinarize and Keras

Our own Anton Kazakov walks us through a machine learning tutorial project using LabelBinarize and Keras. The goal of the project was to get familiar with model training, data preparation and predict phase.

Comparing Video Platform API and Features

Our Experts Reveal the Best Python Frameworks for ETL

This post will cover examples of ETL frameworks, which are the easiest and most comprehensive way to approach ETL in Python.

The Differences Between GCP App Engine, Cloud Run & Cloud Function

Top AR/VR Trends in 2021: Augmentation and Virtual Reality

Data Maturity Models - Comparing Approaches to Data Maturity

An understanding of data maturity can guide a company's transformation from being clueless about data to taking advantage of its full potential. In this post we compare different approaches to data maturity.

Could Rust Replace Python for High-Performance Computing?

Python is currently the hottest programming language but could Rust replace Python for high performance projects? In this post we examine pros and cons of both programming languages.

What is Innovation Engineering?

Innovation Engineering is a framework for engineering solutions with innovation and emerging new technologies. In this post we uncover what Innovation Engineering means and how to start thinking in this way.

The Top Factors to Consider for M&A Technical Due Diligence

Many surprises come up during M&A technical due diligence. It’s always better to find them—and manage them appropriately—sooner than later.

How Staff Augmentation Can Drive Results in the WFH Era

With more businesses than ever having to adapt their working processes many companies are scaling their business using staff augmentation.

Sphere Partners is Proud to be Listed on Clutch's Top Global B2B Companies in 2020

Sphere Partners is proud to be highlighted by Clutch as one of their Top Global B2B Companies in 2020. We are strategic technology partners and are excited to work with our clients to make their technology vision a reality in 2021 and beyond.

How to Plan a Data Warehouse Migration to the Cloud

Recent years have seen many organizations move their data warehouses to the cloud. Planning a data migration is a complex, multi-step task that benefits greatly from advanced planning and consultation.

Hottest Machine Learning Python Libraries for 2021

In this post you’ll learn about some of the hottest machine learning libraries for 2021 using Python.

Snowflake vs Redshift: What Data Warehouse is better for your business?

In this post we look at two leading data warehouse providers: AWS Redshift and Snowflake, and compare benefits and cons to both.

Sphere Software is now Sphere Partners

Sphere Software, an award-winning provider of custom software solutions and technology teams on-demand, is pleased to announce its official name change to Sphere Partners, effective immediately.

Enterprise Ecommerce Platforms: Shopify Plus & Magento

Shopify Plus & Magento are two of the most common Ecommerce Platforms. We compared them side by side in terms of multi-store management, hosting flexibility and ability to deploy specialty controversial online businesses.

NetSuite Integration For Recruiting Platform

Sphere saved this US-based recruiting platform over 50% of the typical cost of critical NetSuite integrations.

Sphere Creates Robust NetSuite Consulting & Integrations for Ecommerce Firm

Part 2: Comparison of Tableau vs Power BI vs Qlik API's

The power of Business Analytics software packages like Tableau Vs Power BI Vs Qlik is unlocked when you integrate your disparate data sources into an end-to-end view of crucial metrics.

Evaluating The Most Popular Business Analytics Tools: Tableau vs Power BI vs Qlik (Part 1)

While your company undoubtedly would benefit from business intelligence software, the best fit from the top three vendors Tableau vs Power Bi vs Qlik.

Ecommerce Webinar on Future Proofing of Ecommerce Marketplace

OppLoans Enhances UI/UX for Conversions Rate Optimization With Sphere Partners

OppLoans Enhances UX, Increases Loan App Conversions with Sphere

Google Cloud Platform Development For Newline Financial’s

Custom Lead Generation System built for CreditNinja

With our Custom Lead Generation System CreditNinja is able to reduce their underwriting costs substantially, which dropped by 75%. The company also achieved a 50% savings for marketing costs.

Roof Asset Management for better Roof/Construction Ideas

Software Division Carve-Out by Private Equity IT Software Consulting Services

Read how a private equity firm carveout required unique Private Equity IT Software Consulting Services from Sphere Partners.

Free software development solutions to companies responding to COVID-19

Chicago-based company pledging thousands of development hours for COVID-19 focused solutions and free license to home-delivery platform for businesses struggling to stay afloat.

Healthcare IT Solutions integrated with Google Cloud

Case Study: Experify.io Augments Development, Speeds Time to Market with Sphere

Good Business Systems Decisions Increase Profits with Risk Management Software

Goal Setting Is a Strategic Tool for Tech Startups

Business Systems decision dilemma to buy or build business software solution

The business software solution should reflect the company's core values and strategies but building systems is expensive. Read business systems decision when to buy and when to build insights from Mike Sandler, Chief Information Officer at Eligo Energy, LLC.

MKG Recruits Sphere to revamp pharmaceutical web platform

Case Study: Professional Services Firm Streamlines Operations, Saves Time with NetSuite

Pros & Cons of NetSuite ERP for Law Firms

NetSuite implementation for law firms as a cloud based ERP is a growth hacker by Oracle which always keep Law Firm Operations Optimized, legally Compliant at a much lower operation costs.

Machine Learning Technology Stack - Decision Making Steps

Artificial Intelligence Is Transforming Industrial Markets

Role of CTO in Technology Development Acceleration

Transforming Values into Corporate Culture that Fuels Growth

Profitable Tech Business model for software product development

Small Business And Tech Startup, Is Your Small Business Really a Start-up?

An interview with Andy Pruitt the CTO at OppLoans to discuss their experiences and strategies for small business and tech startups, to reduce cost of operations with digital transformation.

Digital Transformation With NetSuite Implementation For A Distributing Company

Sphere helped to digitally transform a distributor in Achieving Streamlined Operations, Ability to Scale with NetSuite implementation. Read the case study where we have discussed challenges, solution and nexts steps in this journey.

Case Study: NetSuite Implementation Streamlines Operations for FinTech Company

Mobile App Test Automation Journey of OneMain Financial

Delta Dental Digital Transformation With Custom Atlassian Solution

Tech Talent Management In Agile Software Development Company

Driving Technology Innovation by Greg Flay, CTO at Austin Energy

Is Elixir the Best of Both Worlds? Why to use it?

Scaling technical startups journey and challenges

Agile technology development to embrace risk management strategies

Adaptive Talent Management for an Emerging Technology Company

Is the CTO's Role Still Relevant?

Perform Quality Assurance Without Requirements - Implementation hack

The biggest challenge CTO’s Balancing Act

Cybersecurity Advancements Being Driven by Behavioral Analytics

Cloud Computing Fosters Innovation within Healthcare Industry

Cloud Computing Considerations, Benefits, and Concerns

Agile Security and Compliance Prioritizes People Over Process

DevOps Expedite Innovation—Here’s How

Quantum Computing, Artificial Intelligence, the IoT—What Does the Future Hold?

Agile, Security, & Compliance—Exploring the Tensions

Agile Development Success Lies in Communication and Curiosity

The Healthy Dissonance of Agile Development Methodology

Making Agile Development More Comfortable

Learn About High-Performance Computing & Cloud Computing With Our Use Cases

Introduction to High-Performance Computing

7 Ways to Improve Remote Work Quality

Agile planning - building an agile organization

AI and HR - Disruption is Coming

AI and HR. HR is widely regarded as one of those ‘human’ jobs that will be hard to replace with AI. It’s similar to psychology and other domains that require a high level of EQ, communication skills, and profound personal touch.

27 Effective Ways For Remote Development Teams

How do you outsource better? How do you manage your remote development and contract technical workforce? How do you keep them engaged?

Remote Team Productivity Tools - aligning tools, culture, and collaboration

At Sphere we understand the benefits of remote team productivity tools - we’ve tried them all because our teams work around the world. Here are our picks.

Case Study: Blockchain Consulting - Loan Marketplace

How the Internet of Things Is Delivering Value to Consumers Today

How the IoT Is Transforming Familiar Spaces

Improving Process, People, and Culture to Boost Remote Productivity

Improving the Speed of Manual Testing

Hiring Remote Workers the Right Way

GasMob is a new on-demand gas delivery service designed

Case Study: Enova CashNetUSA App

The CashNetUSA app allows users to apply for a new loan or line of credit, make payments, and track the status of their loans.

Case Study: Fuse Universal

Case Study: One Transport Powered By Gett

Improving offshore developer performance

Understanding M&A Technical Due Diligence

M&A Technical Due Diligence - Acquisitions require careful technical due diligence and planning. Does your executive team have the right plan?

Understanding Flutter mobile SDK: Pros & Cons

This article provides an in-depth look at the Flutter Mobile SDK, various advantages and disadvantages, usage of Dart as the main language, and other development characteristics.

Continuity of User Experience while Designing Application

Discussion About Shaping of Technology Team Culture

How Industrial AI is transforming markets?

Introducing Jira Software 8.0 to the Software Industry

Loan approval workflow Integration and Implementation case study

Case Study: Implementing Accelerated Mobile Development

Case Study: Develop End-User Portal using Microservices

Due Diligence Case Study for Mergers & Acquisitions

Case Study - M&A Due Diligence on Social Media Monitoring Platform

Case Study - M&A Due Diligence on Video on Demand Platform

Benifits & Features of Kotlin Technical Debt

How does Sphere Hire A-Players?

What are the ingredients for Hiring A-players? What makes those people successful as individuals? Here's how we hire A-players.

Ready for Upgrading QuickBooks to NetSuite

CTO vs COO? What’s the Difference in a Technology Company?

CTO vs COO? What's the difference in between the COO vs CTO roles in most tech companies, and how do these views impact software architectural decisions?

Case Study - Implementing an Isolated SaaS with AWS

Case Study: Artificial Intelligence Bias in Medicine

Case Study - Custom Prototype Implementation

Sphere helped Roomations establish proof of concept with a functional prototype of their platform using a simple Ruby front end and 3D virtualization technologies. This made it possible for consumers to view sample interior designs and select specific products featured in the design.

Case Study - Custom Analytics Prototype

Proclivity Media wanted to build a prototype of its advertising technology analytics platform. With an algorithm in mind, they needed a team with the analytics experience necessary to build a scalable front and back-end system that would allow them to establish proof of concept with a custom analytics prototype.

Rebel Case Study – Chat Bot Development

Sphere implemented a full-cycle chatbot development approach for Rebel through language parsing, syntax parsing, and machine learning technologies. The original XML interface of the chatbot was enhanced by using React.js and Angular.js for the web-facing application, and Spring Boot and JavaScript for the back-end. The new interface successfully removed the “rough edges” of the chat bot, and allowed it to assist both internal representatives and Rebel’s customers.

Case Study - Application Development

Case Study - UI/UX and Client File Configuration

Artificial Intelligence: Progress Brings New Ethical Challenges

Case Study – Self-service on-demand

Case Study – Connecting Ecommerce and Mobile via APIs

Case Study - Human Interest Web Application Development

Screencasts - Helpful Golang Practices Tutorials

3 Options for Creating a Python AWS Lambda Function

AWS Lambda is a service introduced in 2014 by Amazon. In this post we will take a closer look at the ways to use Python code as an AWS Lambda function.

Case Study – Ecommerce and Content Management Software

Case Study - Ecommerce and Social Media

Tips of IT Project Management with our Employee of the month - Artem Korenev

What should you do when you outgrow QuickBooks?

Testing Generated Binary Files w/RSpec

Testing generated binary files with RSpec: RSpec is a 'Domain Specific Language' (DSL) testing tool written in Ruby to test Ruby code.

The Risks of Modernizing Legacy Technology Too Late

More Basics about Alternative Legacy Modernization Strategies 

How to Plan for Your Next Machine Learning Projects

Follow these tips and you’ll be well on your way to plan for machine learning projects effectively and designing algorithms with an eye to the future.

Winning the IT Battle with Offshore Team Staffing

5 Reasons to Get on the Artificial Intelligence Hype Train

Node.js vs PHP: Which Environment to Choose for Your Next Project?

The Importance and Best Practice of Using Software Design Documents

How To Modernize Legacy Software and Need For It?

Improving Teams (and Results) with Software Development Metrics

Automation: Why You Need to Do It, and Where to Start

How to Save Money with Automation Testing Infrastructure?

Optimize QA Automation To Increase Customer Success

Transporting Complex Sales Through Blue Ocean Strategy

Customer Success Management – Defining and Exploring Best Practices

How to Improve Time-to-market for your Applications?

Winning the Digital strategy Transformation Battle – Fighting Fears and Misconceptions

Agile Budgets: Top 12 Agile Budgeting Tips

3 Ways To Save On IT Costs Without Losing Out On Quality

Automated Agile Testing - The Key Component of Agile DevOps

3 Reasons Why You Need To Hire a Qualified Development Team

Adopting Agile Development – Exploring the Scrum and Kanban Approach

Strategic Prioritization – How to Rank Transformative Digital Projects

Changes Coming for Ethereum Smart Contracts with ERC-1400

Security vs. Utility Tokens: Key Differences and Similarities

Why Tech Innovation Is The Key To Your Success

The BIG Debate: Automated vs. Manual Testing

The Sharing Economy: Everything you need to know

The Sharing Economy is by no means a new concept. We have been living with this concept for some time, but what does the sharing economy mean?

5 Powerful Tips To Planning Your First ICO Launch

Anyone thinking about an ICO launch needs to ask themselves, is this what I really need, or am I just getting on the bandwagon?

What are Security Tokens and Who’s Using Them?

Remote vs onsite - 5 Ways Remote Workers Outperform In-Office Workers

Addressing the Key Challenges of Technical Debt

How Golang Helps Team Leads Become More Effective?

Understanding the Digital Transformation Phenomenon

Digital transformation is understanding that blockchain goes beyond serving as an underlying technology for digital transactions.

Improving Healthcare Solutions with implementing Blockchain

AWS Systems Manager, a Recipe for Simplicity

10 Tips for Improving the User Experience

Why You Should Consider Upgrading Your Ruby on Rails Version

Go and Network API: The Silver Bullet

Harnessing the Power of Augmented Reality

When Augmented Reality was first developed in 1968, it required an expensive, specialized headset to just display simple wireframe drawings. Now, Augmented Reality - compatible devices are much more accessible, allowing millions of people to have the power of AR in the palm of their hands.

How Ethereum Cryptocurrency Smart Contracts are Disrupting Industries

How Resource and Staff Augmentation Can Provide Winning Innovative Strategies

Traditional App Development May Change as Chatbots Become More Relevant

Chatbots are expected to become the face of app development as companies look for new ways for bots to support their current applications. Gartner estimates that by 2021, more than 50% of enterprises will spend more on chatbot app development than traditional mobile and web applications.

12 Scalability Principles Designed to Sustain Growth for Your App's Architecture

Discovered through experience a number of important scalability principles that can aid in the construction of a wide variety of software projects. In fact, these basic rules can be applied to numerous architectural challenges with successful results.

How to Use Go to Optimize the Cost of Software Development

Blockchain Technology and its Real-World Uses

A panel of crypto experts across various industries discussed what they think the future of blockchain technology is at Tech in Motion’s latest event in Chicago.

Forecasting & Planning with Atlassian Service & Support

5 Latest & Current UX Design Trends

Practical Tips for Using Yodlee IAV

Building Desktop Apps with Electron for Xiaomi

Electron is a new way to Building desktop apps with all the power of Node.js, HTML, and CSS. You can easily complete a functional app in a short time frame, which could solve 80% of your day-to-day needs.

Improving Your App’s Accessibility for People Who are Disabled

Design Thinking: The Competitive Advantage of Turning Everyone into a Designer

Effective design thinking demands observation, interviewing, creating personas, developing storyboards, making prototypes and performing decision-making analyses. In short, the process requires a whole brain approach, where learning comes with doing the work of overall design.

Hanami: A Full-featured, Lightweight Alternative to Ruby On Rails

A Full-featured guide on Implementing Autotests

Are Chatbots the Next Generation of Customer Service?

5 Steps for Creating a Minimum Viable Product

Minimum Viable Product (MVP) is the minimum feature set the market will pay for. Your product should have enough unique features to set it apart from the competition, but not so many as to waste unnecessary (and expensive) research and development time.

How to craft a winning mobile strategy

Why ROR Applications Should Consider Adding GoLang to Their Stack?

In Go versus ROR Applications debates, it’s often noted that Go’s syntax is less flexible and very strict, which affects the developer’s productivity.

The Importance of Company Culture and Managing Remote Development Teams

Achieve Quality Code and ROI through Test Automation

The Shift Towards Leaner Software Development Teams

Key Takeaways from the 2018 Chatbot Summit in Tel Aviv

What is a Coroutines? Benefits of using it in your coding

Our Journey to Define Our Core Values

Infrastructure as Code: An Alternative to Standard Configuration Management

Infrastructure as Code (IAC) is a new approach to infrastructure automation that is more extensive and thorough than the more common, server-based method.

DevOps 101 with the Atlassian Stack

Our new DevOps 101 white paper, curated from Atlassian, shares how to create the culture changes necessary for a successful DevOps process.

Achieving Business Goals with the Nuclear Energy of React.js

Tips to Consider When Looking for a Best Software Developer

RSpec Tutorial: Testing Generated Binary Files

Zen of Python Programming Language

Zen of Python principles were adopted by core language designers in addition to ordinary Python programmers and this was the key to building a rapidly expanding community in diverse areas of computing that welcomed newcomers.

Testing Process optimization with more Documentation

Digital Marketing Best Practices for Tech Companies

Quick tour on how Ruby on rails talks to the world

Automating your VPC with Terraform and Jenkins

Terraform and Jenkins allow us to implement push-button creation of our infrastructure as needed, on demand, with thoroughly tested code that is predictable, efficient, and reliable.

Machine Learning Made More Effective Through Python

An Introduction to Golang by Google

How Custom Software Solutions Can Automate Your DevOps?

The Complete Guide to Jenkins Installation for Ruby on Rails Using Ubuntu

To show how to use Jenkins for automation testing for rails I've created test rails app and put it on github and created a server on Ubuntu, which I will refer to by the URL https://jenkins.example.com.

Our Golang Frameworks vs Ruby Frameworks Expert Guide for Software Developers

How to collect aggregated statistics in a Ruby on Rails application?

C-for-Golang: Using C & C++ in Golang

A Senior GoLang Engineer at Sphere Software, first formulated an assistant tool called C-for-GoLang used to create C-Go bindings of C libraries to use in his applications.

Ampersand.js: An Alternative to Backbone.js

In this article, I provide an overview of Ampersand.js, a more or less modern framework, that could be a solution to many such problems.

A step-by-step guide for development of Node.js APIs

This article describes test-driven, step-by-step development of a simple RESTful API into an Elasticsearch in Node.js.

Emulating Life Cycles during Testing Automated

How to do JavaScript Functional Programming In Node.js

Want to learn how to do functional programming In Nodejs? Coding in a more functional style improves code reliability, and simplifies the debugging and testing process.

How to Implement a Left Side Menu Navigation Using Third Party Libraries?

Beginners Tips for Kickstart Software Testing

Introducing Objstore Cluster, a Multi-Master Distributed Caching Layer for Amazon S3

How to use Docker for updating Old Production Applications?

Need to build a functional prototype? Guide for creating a Functional Prototype.

Review of Best Mobile Automated Testing Tools

Quick Analysis of Erlang web frameworks in Modern Era