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.
In this powerful episode of SphereCast, Adin Heric (Head of Marketing at Sphere) and Mario Schwarts (Director of Data & AI Practice at Sphere) sit down with Erika Kiely — a transformational tech leader, AI advocate, and founder of ProTechtive Strategies. From growing up in politically unstable Peru to driving AI transformation in insurance and launching her own purpose-led venture, Erika’s story is a masterclass in resilience and intentional leadership.
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.
In this episode of SphereCast, Adin Heric sits down with Wes Ezzeddine, Director of Engineering at Mamo Pay, to explore the real-world impact of AI on engineering workflows. They discuss using GenAI tools like ChatGPT and Copilot, leading tech teams in high-growth startups, and offer practical advice on navigating scale, speed, and the future of software leadership.
In this episode of SphereCast, Field CTO Alex Ter-Zakhariants shares what 20+ years in tech have taught him about using AI the right way, especially when it comes to cleaning up messy codebases, making sense of chaotic data, and knowing where human oversight still matters. He also weighs in on the real value of tools like Copilot and Dynatrace, and what’s next for AI in CI/CD, observability, and DevOps.
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 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.
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 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.
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.
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