Sridhar (Sri) Narayanan

Mind the Gap — the divide between well-funded enterprises and resource-strapped SMBs is getting wider,and attackers have learned to monetise it at industrial scale. In this short article, I unpack the data proving this gap is widening, what's accelrating this problem and suggest a seven-step, budget-friendly playbook any small or mid-sized business can use to slam common attack doors shut. https://lnkd.in/gJrdFCbT #CyberSecurity #Ransomware #SMB

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Overview The Unleashing AI Innovation in Financial Services Act (H.R. 4801 in the House and S. 2528 in the Senate) is a bipartisan bill introduced on July 30, 2025. It aims to accelerate AI adoption in U.S. financial services by creating a regulated framework for testing AI solutions without risking immediate enforcement action. Key Provisions 1. Creation of AI Innovation Labs (Regulatory Sandboxes) Federal financial regulators—including the Federal Reserve, FDIC, OCC, SEC, CFPB, NCUA, and FHFA—must establish AI Innovation Labs to allow financial institutions to pilot AI projects in a controlled environment without facing enforcement actions, provided eligibility requirements are met. 2. Application Process for AI Test Projects Financial institutions must apply through their regulators, describing the AI project, any requested regulatory waivers, and proposed alternative compliance methods. 3. Eligibility Criteria Projects must serve the public interest (including consumer protection), improve operational efficiency or competitiveness, and pose no systemic risk to the U.S. financial system. 4. Bipartisan Support and Strategic Alignment The Act has strong bipartisan backing and aligns with federal goals to balance AI innovation with robust consumer safeguards. Summary Table Component Details What Establish AI Innovation Labs (regulatory sandboxes) at financial regulatory agencies Who Agencies: Fed, FDIC, OCC, SEC, CFPB, NCUA, FHFA Why Enable AI experimentation while maintaining consumer protection and system safety How to Participate Submit application with project details and waiver proposals Key Requirements Public interest, efficiency gains, no systemic risk

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Google is the latest to throw a punch at Jensen. The score? Near-term quantum predictors are 2-1 up. 🏆 The lead of Google Quantum AI Hartmut Neven just said: “We’re optimistic that within five years we’ll see real-world applications that are possible only on quantum computers” This comes just days after Bill Gates weighed in: "There’s a possibility that Jensen is wrong. In the next 3-5 years, we might develop enough true logical qubits to solve tough problems." Both views are in stark contrast to NVIDIA's Jensen: "If you kind of said 15 years for very useful quantum computers, that would probably be on the early side. If you said 30, it's probably on the late side." The timeline for quantum computing’s mainstream adoption continues to spark debate, with projections spanning a few years to several decades. Rather than speculate, my recommendation is to: 1️⃣ Evaluate potential opportunities and threats that quantum computing may pose to your organisation. 2️⃣ Adopt a pragmatic, risk-based approach to decide if and when to invest in a quantum program. When it comes to emerging tech, one thing is clear: we should no longer be surprised by surprises. What's your take? --- ♻ Repost if your network will find this useful. ➕ Follow me Philip Intallura Ph.D for tech insights.

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Just published on ACM, Association for Computing Machinery: AI’s Next Leap – From Agents to Agentic Intelligence to AGI. In this piece, I explore the evolution of AI from task-specific agents to the broader vision of Agentic AI and its implications for Artificial General Intelligence (AGI). Read the full article here: https://lnkd.in/e_F_QyKs Would love to hear your thoughts—how do you see Agentic AI influencing your work? #ai #agenticai #agi #acm #genai

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