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.

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 Yet many organizations still struggle with silos, outdated files, and fragmented systems that slow down progress and innovation.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.

Driving Business Intelligence with Scalable Data Architecture

Sphere partnered with a premier luxury sports car experience provider to modernize its data infrastructure, addressing manual workflows, data silos, and scalability challenges. By migrating to a cloud-based environment and implementing automated ETL pipelines and real-time Power BI dashboards, the company significantly improved operational efficiency, decision-making, and scalability.

Optimizing AWS Cloud Infrastructure for Financial Company

Sphere partnered with a global leader in commercial finance to optimize its AWS cloud infrastructure, improve data retrieval efficiency, and standardize financial data across third-party sources. Through database enhancements, cloud optimization, and streamlined data aggregation, the client achieved faster decision-making, improved risk assessments, and significant cost savings.

AI-Powered Medical Documentation for a Telemedicine Provider

Sphere partnered with a U.S.-based telemedicine provider to improve medical documentation through AI-powered solutions, including real-time speech-to-text, automated data structuring, and consultation summarization. This project reduced physicians' administrative burden, improved data accuracy, and enhanced patient satisfaction by enabling doctors to focus more on patient care.

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.

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.