Sagar Kewalramani

A huge shoutout to @Strategink for orchestrating such a stellar #AgenticON2026. It was an incredible gathering of industry leaders from across sectors, all diving deep into the shift from traditional AI to truly autonomous systems. During my short session, I sat down to discuss a critical hurdle: Governance in the age of Agentic AI. In the traditional IT world, governance is static. We know the user, we know the API, and we set the perimeter. But as we move into a self-learning network, things change. AI agents are becoming Non-Human Identities (NHIs) with the power to act, reflect, and hand off tasks to other agents. Two key takeaways from the discussion: Identity is Dynamic: We can’t just authorize an agent by name. We must authorize it based on the specific task it is executing in real-time. Provenance is a Web, not a Line: Tracing an action is no longer about a single log file; it’s about auditing a hand-off chain across multiple tools and agents. The governance framework needs to address this chain of agency. Governance can’t be an afterthought; it has to be baked into the architecture. To my peers in the space: How are you addressing the identity crisis of AI agents in your own stacks? Are we ready for task-based authorization, or are we still relying on legacy models? What governance model or framework is your organization following? Let’s get a discussion going in the comments! 👇 #AgenticAI #AIGovernance #CyberSecurity #AgenticON2026 #FutureOfWork EC-Council DemandScience StrategINK Karthik S. Dr. Sayed Peerzade Stephanie Hills, Ph.D.

98

8 Comments

Sovereign AI models were one of the most discussed themes at the recent AI Summit held in Delhi. The core idea is simple but powerful: countries and enterprises want AI systems that are trained, deployed, and governed within their own boundaries — aligned with local languages, regulations, data privacy norms, and cultural context. As highlighted by , the next wave of AI innovation will be driven by models built for local ecosystems — especially Indian languages, public-sector use cases, and enterprise-sensitive workloads. I am keen to explore Sarvam AI APIs to test and build use cases around local language capabilities. Key takeaways: • Data sovereignty is becoming as important as model performance • Governments are investing in national AI infrastructure and compute • Local language models and public-sector applications are accelerating • Enterprises are exploring “sovereign AI stacks” for sensitive workloads Sovereign AI is not about isolation — it’s about control, trust, and strategic independence in an AI-first world.

21

Ignite Digital is a proud Snowflake Partner. Our certified team leverages Snowflake’s AI Data Cloud to empower DoD organizations to unlock the full value of their data and gain a decisive tactical edge. Crucially, Snowflake’s AI Data Cloud and DoD IL5 authorization provide the security, flexibility, and resilience needed for defense operations. 🔗 Learn more: https://lnkd.in/gDwYZM7J #WeAreIDS #Snowflake #DataCloud #AI #DoD #IL5 

20

Ahead of last week's India AI Impact Summit, one of the largest conferences, Vinod Khosla, respected VC and co-founder of Sun Microsystems, sparked a debate with his prediction that IT and BPO services will disappear in the next five years due to AI. The Indian IT services industry has already seen a $50 billion market capitalization loss in 2025 due to growth uncertainties. Recent AI plugin launches with prospects of automation raise questions about the necessity of traditional IT services, as Agentic workflows begin to replace conventional IT systems. Phil Fersht elaborated on this topic, referencing a blog by Vijay Vijayasankar, emphasizing that the transition will not be straightforward due to procurement inertia, buying behavior, and the continued need for human involvement. Moreover, it will be an evolution just like for all other industries, rather than a collapse. Phil says: Vinod is correct about the velocity of change, while Vijay highlights the constraints that exist. It is clear that IT and BPO companies must adapt to capture budgets shifting toward Agentic applications rather than relying on SaaS or traditional app development. While I agree with all above, I would like to add that securing AI budgets is not straightforward. A notable trend is that enterprises are increasingly inclined to conduct AI development in-house, driven by employee enthusiasm for building AI skills. AI app-dev is not mundane work to outsource, it is becoming a core and critical competency to develop inhouse. This shift towards in-house development means less reliance on outsourcing. Additionally, traditional IT and BPO service companies need to adjust their expectations regarding profit margins, as maintaining high profits of 20+ percentage is no longer feasible. One former CEO of an IT services giant reiterated that profit margins is the first priority of the IT services companies. This is a critical time for research and development, skill-building, and competitive sales and they become often a victim to aggressive expectations in profits. I discussed the above debate and more from the AI Impact Summit, the Gemini 3.1 Pro launch, and the rise of Personal Agents in the latest episode of The AI Files. Please check it out and share your perspectives! Jaime Basilico #TheAIFiles #GenAI 🎞️ YouTube Channel: https://lnkd.in/enUN4PDK 🎧 Apple Podcast: https://lnkd.in/eAxumKFw

45

7 Comments

The GPU market is changing. Established players aren’t the only ones playing the game anymore.   New architectures, emerging hardware, and smarter orchestration are reshaping the playing field.   Kearney's latest article by Sridhar Narasimhan, Archit Johar, Bhavtosh Jadeja and Abhilash Jain explores what this shift means for leaders and what you need to do next.

2

Most teams overspend on in-memory data stores because scaling means throwing more hardware at the problem. Dragonfly Cloud Enterprise changes the equation: 💰 𝗚𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱 𝗺𝗶𝗻𝗶𝗺𝘂𝗺 𝟯𝟬% 𝗹𝗼𝘄𝗲𝗿 𝗰𝗼𝘀𝘁 than Redis Cloud or ElastiCache. 🖥️ Utilize every CPU on every machine and waste nothing. 🏗️ Manage significantly less infrastructure for the same workload. ✅ Efficiency built into every layer of the architecture. Do more with less and finally stop paying the "Redis tax." 👉 Learn how: https://hubs.la/Q03GdXYc0 #Redis #Valkey #CostEfficiency #CloudOptimization #FinOps #Scalability

3

Snowflake’s Snowpipe Streaming just got a major upgrade, and we’ve broken it all down for you. From blazing-fast ingestion speeds to seamless SDK integration and in-flight transformations, this is a game-changer for modern data pipelines. 🔍 Learn how your organization can move beyond batch processing and embrace true real-time analytics in this blog post by Chris Schneider here: https://lnkd.in/gpFFqY7f #DataEngineering #Snowflake #RealTimeAnalytics #evolvConsulting #SnowpipeStreaming

44