Suri Nuthalapati's avatarPerson

Suri Nuthalapati

Data & AI Leader, AmericasCloudera

Charlotte, NC

Skills

Artificial Intelligence
Big Data
Data Analysis

About

AI Thought Leader | Innovating at the Intersection of AI, Data & Cloud

Published content

Move Fast or Fade: How to Compete Against AI-Native Startups

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AI‑native startups are scaling faster than ever—some hitting milestones that traditional SaaS firms took years to reach. But things are starting to move even faster. A recent analysis by Stripe suggests AI startups reach $1 million in revenue in about 11.5 months compared with 15 months for the earlier top SaaS models. That velocity comes not just from better algorithms but from a fundamentally different organizational posture. Meanwhile, many legacy firms are still navigating the early stages of adoption—pilots, governance debates, technical debt struggles—and too often fall short of meaningful impact. According to Boston Consulting Group, 74% of companies struggle to derive value from AI, with just 26% achieving scale beyond proof of concept. The Senior Executive AI Think Tank brings together leaders immersed in machine learning, generative AI and enterprise AI applications. Their collective wisdom reveals that competing with AI challengers demands more than tech upgrades—it requires deep structural and cultural shifts. In this article, they explore those shifts and offer actionable strategies for traditional organizations to close the gap.

What TIME Missed: Where AI Can Make the Greatest Impact Next

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The recent release of TIME’s 2025 TIME100 AI list underscores how much attention is focused on foundation models, generative agents and consumer‑facing AI tools. Yet a closer look suggests that many powerful AI applications are still flying under the radar.  That’s where the Senior Executive AI Think Tank comes in—a curated group of experts in machine learning, generative AI and enterprise AI applications who combine technical depth with executive perspective. In this article, they use real-world insight to examine which industries and use cases are underrepresented in lists like TIME’s and explore the biggest AI frontiers that deserve attention now.

GPT‑5: The Strategic Edge for AI‑Driven Enterprises

expert panel

The debut of GPT‑5 has sparked renewed debate among enterprise leaders about how generative AI will drive business innovation. As adoption accelerates—with Gartner estimating that over 80% of enterprises will deploy generative AI applications or APIs by 2026—the question isn’t just what AI can do but how organizations can deploy and orchestrate it effectively. Drawing on their industry experience, members of the Senior Executive AI Think Tank—a curated group of leaders in machine learning, generative AI and enterprise AI applications—offer their first impressions of GPT‑5, their vision for its strategic implications and actionable, strategic guidance for navigating this next wave of innovation.

expert panel

Aug 21, 2025

Beyond the AI Hype: Where Smart Money Finds Real Value

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As artificial intelligence investment reaches record highs, investors face the challenge of distinguishing between transformative opportunities and market hype. Members of the Senior Executive AI Think Tank reveal where AI delivers immediate returns, which sectors promise long-term value and why the smartest money is flowing toward specialized solutions and infrastructure plays rather than flashy consumer applications.

How FDA’s Elsa Is Changing GovTech: AI Experts Weigh In

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The FDA’s new generative AI tool, Elsa, could signal the start of AI-native government operations—streamlining scientific reviews, increasing public transparency, and reshaping how trust is earned in digital-era governance. But as Elsa ushers in new efficiencies, AI leaders warn: Success depends on human oversight, ethical frameworks, and explainable systems.

Company details

Cloudera

Company bio

Cloudera is the only true hybrid platform for data, analytics, and AI. With 100x more data under management than other cloud-only vendors, Cloudera empowers global enterprises to transform data of all types, on any public or private cloud, into valuable, trusted insights. Our open data lakehouse delivers scalable and secure data management with portable cloud-native analytics, enabling customers to bring GenAI models to their data while maintaining privacy and ensuring responsible, reliable AI deployments. The world's largest brands in financial services, insurance, media, manufacturing, and government rely on Cloudera to use their data to solve what seemed impossible—today and in the future.

Industry

Computer Software

Area of focus

Artificial Intelligence
Big Data
Cloud Data Services

Company size

5,001 - 10,000