Legal technology is entering a phase where AI assistants are expected to do more than answer questions. Relativity is now connecting its RelativityOne legal data platform with Microsoft 365 Copilot through the Model Context Protocol (MCP), allowing legal teams to use natural-language commands for administrative tasks without leaving Microsoft’s productivity environment. The move highlights a…
1. AI systems don’t just rank content; they make recommendations and attribute credibility. From what you’ve seen, what signals is AI using to decide which executives and brands it surfaces and which ones it ignores? This is a fantastic question, because the first thing to understand is that there is no single “AI algorithm.” We…
R started as an open-source alternative to a proprietary statistics language, “S,” and it has grown into one of the most important tools in data science. Long before the current AI boom, R became the environment where statisticians, researchers, economists, and data scientists developed many of the methods, workflows, and validation frameworks that modern AI now builds upon. R may not be a household name, but it sits underneath many of the systems and decisions people rely on every day. Today, it’s used by researchers, economists, healthcare organizations, and AI developers around the world to analyze data, build models, and make sense of complex information. In many ways, it’s become part of the foundation that modern data-driven decision-making, and increasingly AI as we know it, relies on.
1. Many companies are moving to integrate AI tools into daily operations. Do you think security practices are keeping pace with that speed? The data suggests they are not. The Netwrix Data & Identity Security Report found that only 11% of organizations have operationalized AI governance with continuous oversight of identities, permissions, and the data AI systems…
by Ed Macosky, Chief Product and Technology Officer, Boomi Q1: Everyone is investing in AI so why are so many organizations still struggling to see real results? 2026 is the year organizations need to move from AI experimentation to activation at scale. And yet, so many are still stuck in pilot purgatory, not because their…
by Richard James Market Leader, Asia Pacific Japan Middle East & Africa – Consulting & Engineering Services, DXC Technology 1. AI is moving fast from experimentation to real business impact, how are enterprises adapting to this shift? Enterprises are moving from isolated AI experiments to embedding AI into core operations where it delivers measurable value….
By Brett Newstead, Sales Director, Australia & New Zealand, Zebra Technologies 1.From Zebra’s perspective, what made this collaboration with Repco a strategic fit? What specific operational challenges was Zebra uniquely positioned to help them solve? From Zebra’s perspective, this was a strong strategic fit because Repco runs a high-volume, time-critical delivery operation – and that’s…
Maple Finance has introduced the Maple Borrower Hub, a new operational platform designed to streamline institutional borrowing across onchain credit markets. The launch reflects the growing maturation of decentralized finance (DeFi) infrastructure as institutional lenders and borrowers seek more compliant, transparent, and scalable blockchain-based financing solutions. Maple Finance, one of the more established institutional decentralized…
Neptune Flood has introduced Atlas+, an AI-powered platform experience designed to help insurance agents automate workflows, accelerate customer servicing, and improve policy management efficiency. The launch reflects a broader transformation underway across the insurtech sector as insurers, MGAs, and distribution partners increasingly deploy agentic AI systems to modernize underwriting, servicing, and sales operations. Neptune Flood…
