The Evolution of AI: From Game-Playing to Conversational Agents
The history of AI has seen several eras of innovation, from early game-playing systems in the 1960s to expert systems in the 70s focused on domain knowledge extraction. The machine learning breakthroughs of the 80s and 90s enabled learning from data patterns. Most recently, deep learning has solved perception challenges. The latest shift is towards general intelligence, with large language models like ChatGPT demonstrating conversational abilities, though true human-level AI remains elusive.
AI in Business: Leveraging Intelligence for Efficiency and Personalization
AI offers transformative potential for business, from streamlining processes like automating visual inspection to incredible personalization in customer service. But lacking a definitive roadmap, creativity is key – leaders must run experiments to find use cases that solve specific challenges. The focus should be leveraging AI’s perceptual and conversational strengths to eliminate inefficiencies and provide individualized interactions. Impactful initiatives include using data to enhance customer touchpoints and maintain satisfaction.
Prof. Dhar talks about:
- The evolution of AI paradigms from game-playing systems to expert systems, machine learning, deep learning, and now large language models demonstrating some general intelligence capabilities.
- The potential of connectionist AI models like neural networks for advancing general intelligence, but uncertainties remain about achieving human-level or super-human AI.
- Debates around open source AI – balancing benefits of transparency and community participation with risks of misuse and lack of control.
- Managing societal risks of AI and different global approaches to governance and regulation.
- Business applications of AI like using it to transform perceptual tasks and customer service interactions towards more personalization and intelligence.
About Prof. Vasant Dhar 
Prof. Vasant Dhar is an Artificial Intelligence researcher, data scientist and host of the podcast, “Brave New World,” which explores how technology and virtualization in the post-COVID era are transforming humanity.
Vasant Dhar is a Professor of Technology, Operations, and Statistics at The Stern School of Business and the Centre for Data Science at New York University. He brought Machine Learning to Wall Street in the ’90s and subsequently founded the Machine-Learning-Based hedge fund SCT Capital Management.
Dhar’s research examines how innovations such as Artificial Intelligence impact our lives and how we can create technology and policy for a better future in a world of increasingly intelligent machines.
Dhar writes regularly in the media on Artificial Intelligence, societal risks of AI platforms, data governance, privacy, ethics, and trust. He is a frequent speaker in academic and industrial forums.
About Swami 
Your host, Swaminathan Sivaraman is a seasoned entrepreneur and industry luminary, board member, mentor and startup advisor, angel investor, co-promoter/co-founder and ex-CEO – Hansa Cequity. With over three decades of experience, he has honed strategic expertise in customer relationship management, excelling in one-to-one marketing, analytics, and cutting-edge marketing technology. Read more…
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