Driven by progress in supercomputing and machine learning, the tech industry has created massive, foundational AI language models that can accomplish a wide variety of tasks using natural language. How can companies adopt this technology in a way that augments and amplifies human abilities while taking into account risks like bias, safety, and security?

How is A.I. redefining the ways companies conceive, capture, and share value? We will walk you through the journey of a company that embraced artificial intelligence to reinvent themselves. Senior executives will share how they embed technology in critical business processes and decision making while growing revenue

A.I. supercomputing is needed at scale for massive projects involving virtual and augmented reality. Who are the players powering and pioneering the metaverse? What and where are the business opportunities and who gets to set the rules?

How can business leaders manage risk and opportunity? How can they avoid turning a hyper connected world into a playground for hackers and, at the same time, make sure their systems are tested for potential biases?

From energy efficiency to biology and drug discovery, applied A.I. has spanned a range of fields. Where do industry leaders see the next major use case, with the potential to reach and benefit billions of people, coming from? How can senior executives decipher when—and if—they should invest in A.I.?

Most Fortune 500 companies have made significant investments in building the data foundation on cloud. However, realizing the full value of data requires a change in how data and AI are being used across the organization. Join us to discuss how senior executives are aligning data strategy to business goals, adapting business-wide systems to support data-driven decision making, and nurturing the talent and data culture to drive adoption on a large scale while creating sustainable business value.

A.I. is moving fast at all levels, making it more difficult and complex to build and deploy solutions. Rapid A.I. innovation does not happen in a walled garden. Achieving A.I. everywhere requires an open software ecosystem that can streamline workflows, reduce cost, and accelerate innovation while ensuring security and ethical practices. What are the most relevant implications of an open ecosystem? How can organizations share and best leverage open innovation to empower their industries and maximize benefits of AI?

What world do we want to create and how will A.I. get us all there? Artificial intelligence has been leveraging real-time metrics to help companies meet ESG objectives and cement their stakeholder capitalism strategies. By streamlining data, machine learning algorithms can provide valuable insights to improve and bolster corporate sustainability initiatives. How can technology integrate strategy, execution, core purpose and focused leadership action? This discussion explores how A.I. can help senior executives successfully reshape and leverage their organizations around purpose-driven missions.

We've started to get a taste of the kind of human-computer co-creation that may soon be the new normal. One of the most prominent venture capital firms in the world firmly believes these tools are going to be a catalyst for human excellence across all professions within five years. Reid Hoffman and Saam Motamedi will discuss today's A.I. startups most excites them. They will also lay out the ethical and moral considerations that anyone working with this technology must bear in mind. As the post-pandemic world reshapes markets, interest rates rise and a possible recession looms, what has been keeping them awake at night and how are they adapting their portfolios? In this closing conversation, VCs will be highlighting the future that is already here and providing actionable lessons to take home