According to IDC, GenAI is poised to inject nearly $10 trillion into the global GDP over the next decade, with enterprises gearing up to invest an average of $23 million in GenAI in the coming year alone. These staggering figures underscore the immense potential of AI in shaping our world.
Attendees joined us at the forefront of IT innovation. This summit, explicitly tailored for CIOs, was a unique opportunity to delve into the transformative power of AI. Our audience gained insights from industry leaders and experts as we explored strategies to harness the full potential of Generative AI and AI in general.
Anne has a 20+ year track record of helping and leading organizations in a variety of industries be successful with their technology transformation goals. Anne leads a Cloud Costs and Engagement team at Capital One focused on Enterprise Cloud cost optimization and the AWS strategic relationship. Prior to her current role, Anne has held roles in Cybersecurity, Cloud Engineering, and has developed Enterprise applications for the Federal Government. She holds a BS from Virginia Tech in Computer Science and a MS also from Virginia Tech in Information Technology. Throughout Anne’s journey she has built high performing teams with autonomy to innovate and minimize tech debt while building a culture of transparency and candor.
A Strategy for Success: How to Develop a Future-Proof GenAI Strategy
When it comes to GenAI, it’s time to separate the signal from the noise. Dennis McRae, author of the just-released book Generative AI Strategy and Implementation, combines expert insights and practical advice on creating a future-proof your organization’s GenAI journey. McRae will share why an agile approach is the perfect fit for GenAI so you can launch high-value GenAI projects that deliver fast returns. He will also dive into the ethical considerations, the link between leadership expectations and organizational execution, and the emerging trends that will shape the use of the technology in the near to mid-term.
What’s the Solution to Controlling Cloud Costs?
Experience, best practices, and better tools are helping IT leaders get savvier about cloud economics. But emerging technologies such as generative AI and the drive to innovate will perennially complicate the equation. Join us for an analytical look at the problem — and possible solutions.
A Fundamental Question: Open or Closed Source?
A big question facing CIOs as they invest in GenAI initiatives is whether to go with an open-source or closed-source system. Big tech is making their bets, with Meta’s Llama 2 and Stability AI’s Stable Diffusion among the major open-source provider, and Microsoft and OpenAI offering the closed-source ChatGPT. Join us to sort out the key advantages and disadvantages of each model for innovation, security, and performance, as well as how CIOs are making the decision for their own organizations.
How Does GenAI Fit into the Enterprise?
Since ChatGPT burst on the scene, and despite demonstrable benefits, IT leaders are choosing to still proceed with caution. Learn what CIOs are doing to get the timing right for maximum efficiency and business benefit.
Don’t miss an opportunity to join the conversation and put your brand and solutions in front of IT decisionmakers who seek products to keep pace with a rapidly evolving workspace.
Your organization can share the virtual stage to converse with CIOs, CTOs, IT leaders, and vetted ITDMs, across corporations and government.
Leverage your valuable solutions and thought leadership to: