December 13, 2025

In “The Technology Operating Model of the Future: Rise of the Agentic Enterprise,” Deloitte WSJ introduces a model of business built on autonomy, adaptability, and intelligence. Instead of static systems, organizations are moving toward platforms that sense, decide, and act with minimal intervention. This vision of the “agentic enterprise” highlights a future where operating models are defined by agility, resilience, and continuous orchestration of value. It’s a glimpse at what tomorrow’s enterprise will look like — and how close we may already be. Read the article here:

🏅 Microsoft is named a Leader in the Gartner Magic Quadrant for Enterprise Low-Code Application Platforms — and for good reason. Power Platform brings together Power Apps, Power Pages, Power Automate, and Dataverse into one flexible, AI-augmented development environment. It empowers both developers and business users to build scalable, intelligent applications while lowering the total cost of ownership. Read the Gartner report, “Gartner Magic Quadrant for Enterprise Low-Code Application Platforms,” to see why Microsoft stands out. Then message OJASVI LLC to explore how Power Platform can transform your application strategy. @Microsoft Dynamics 365

In “How to responsibly secure the bioeconomy in the age of AI”, the story takes us to the intersection of biology and intelligence. AI is enabling leaps in diagnostics, therapeutics, and bio-based materials. But as power grows, so do the stakes: misuse, inequality, and distrust could undercut progress. This article challenges us to imagine not just the promise of the bioeconomy — but how we protect it, distribute it, and govern it. 👉

In “Accenture: Enterprise AI deployments hit inflection point,” Constellation Research explores how companies are shifting from AI experiments to large-scale enterprise adoption. Accenture leaders describe a tipping point: AI is no longer just a tool for innovation labs — it’s becoming central to business processes, efficiency, and competitive advantage. This article paints a clear picture of how AI is entering a new phase of maturity in the enterprise landscape. Read more here:

Cloud consumption models are unlocking speed and agility for businesses. But they also introduce a paradox: costs become harder to predict and control. Capgemini’s article “The On-Demand Tech Paradox: Balancing Speed and Spend” examines this tension. It shows how organizations are using on-demand technology to accelerate transformation while confronting the governance and financial complexity that comes with it. The piece offers a timely perspective on how to harness cloud flexibility without losing sight of cost discipline. 👉