Arvind Krishna

Arvind Krishna, IBM's CEO, dives into the company's cutting-edge AI solutions for managing enterprise AI agents, emphasizing the shift from experimental tech to real business value. Tyler Kendall shares insights on market resilience amidst economic tumult, while Natalie Leung sheds light on DoorDash's international growth and strategic acquisition of Deliveroo. They also touch on Palantir's disappointing results, contrasting retail investor optimism with Wall Street's skepticism, and discuss the broader implications for the tech landscape.

Arvind Krishna, CEO of IBM, has been at the forefront of the company's resurgence, focusing on hybrid cloud and AI. In this discussion, he shares IBM's bold ambitions in quantum computing and the competitive race against giants like Microsoft and Google. Krishna reflects on past lessons from Watson AI, emphasizing the cautious optimism needed in quantum technology. He dives into IBM's innovative strategies to overcome challenges in building reliable quantum systems and how these advancements could transform various industries.

Arvind Krishna, IBM's Chairman and CEO, is at the forefront of AI, hybrid cloud, and quantum computing. He discusses the rapid advancements in AI, predicting a wave of one billion new applications. Krishna highlights the challenges CEOs face in transitioning from AI experimentation to achieving real business value and the importance of integrated deployment environments. He also delves into the role of technology in modernizing government contracts and improving air traffic control, while emphasizing the need for ongoing innovation in the private sector.

IBM Chairman & CEO Arvind Krishna discusses IBM's $1B AI business, how AI boosts client productivity and revenue. They explore generative AI enhancing business activities, revenue generation, IP protection. Also, IBM's enterprise-based AI approach, regulatory considerations, future regulations, and open technologies driving innovation.

IBM CEO Arvind Krishna discusses the potential displacement of IBM's workforce due to AI, the responsibility of AI companies, the impact of AI on jobs and retraining, legal liability and accountability in AI, and the transformative impact of AI compared to past tech transitions.