AI in Enterprises - Hype to Real Impact | Vikram Srinivasan, Founder – Needl.ai | Podcast скачать в хорошем качестве

AI in Enterprises - Hype to Real Impact | Vikram Srinivasan, Founder – Needl.ai | Podcast

Chapters: 00:00:00 Introduction to AI in Enterprises 00:03:00 The Evolution of AI 00:06:00 AI's Impact on Business 00:09:00 Challenges and Opportunities in AI 00:12:00 The Future of AI in Enterprises This episode of "101 Talks with Sachin Menon" features a conversation with Vikram Srinivasan, founder of Needl.ai, focusing on the transformative role of AI in modern enterprises (0:11). The discussion covers the evolution of AI, its current applications, and the challenges and opportunities it presents in the business world. Key takeaways from the conversation: Evolution of AI: Vikram explains that while AI has had multiple waves of interest and "AI winters" (1:40), the real breakthrough came with the "big data era" (1:51) and later, the release of ChatGPT, which democratized AI capabilities (3:01-3:46). AI in Enterprises: AI is now enabling a new layer of intelligence in software products and services that was previously unimaginable (4:12). In enterprises, AI is exceptionally helpful in back-office work, grunge work, and dealing with complex, unstructured data (9:13-9:42). Challenges and Safety: A key challenge is the non-deterministic nature of current AI models, which poses risks in enterprise scenarios, especially in high-stakes domains like financial services (8:18-10:10). Enterprises are addressing this by keeping AI solutions on private clouds (11:08) and always having a human in the loop for validation (9:48, 11:24). Unstructured Data: Vikram emphasizes the importance of working with unstructured data (11:58), as 80-90% of enterprise data is unstructured (12:01), scattered across various repositories (12:35), and crucial for retaining institutional memory (12:49). Future of AI and Work: AI is seen as the next wave of productivity, eliminating boring and tedious work, and allowing humans to operate at a higher level of abstraction (14:54-15:09). The most important skills for the future are curiosity and a passion to learn (15:41-15:59). Common Mistakes by Enterprises: Vikram advises against building large language models (17:07) and instead suggests focusing on niche, boring workflows with high ROI (18:01-18:21) and clearly defining success metrics for AI implementations (18:40-18:55). #podcast #AI, #enterprises, #VikramSrinivasan, #SachinMenon, #Needle.ai, #businesstransformation, #AIevolution, #AIapplications, #AIchallenges, #AIopportunities