Are you interested in harnessing Microsoft's OpenAI and LLM models like ChatGPT for the enterprise?

While the process of setting up CoPilot and small POCs is straightforward, preparing for a large-scale rollout in an enterprise environment brings forth numerous challenges that are causing difficulties for everyone involved.

Join HSO's Asad Mahmood, VP of Data & Analytics on Wednesday, August 16th at 11 am ET as we discuss the enablement and roadmap to prepare your enterprise to harness the full power of generative AI.

During the session, we will focus on:

1. Exploring real-life experiences with data and AI readiness: We will touch on real-world examples of organizations preparing their data infrastructure for generative AI.
2. Enabling productivity tools in AI: Understand how integrating AI into productivity tools can unlock new functionalities and enhance user efficiency.
3. Assessing existing data infrastructure: Recognize the importance of evaluating your current data infrastructure to determine its readiness for generative AI.
4. Ensuring data security: Address the critical aspect of data security in generative AI. Explore measures and strategies to safeguard sensitive information and ensure compliance with privacy regulations.
5. Live Q&A session: We will leave some time at the end of the session to address your queries, concerns, and specific challenges related to preparing data infrastructure for generative AI and enabling AI in productivity tools. If we don't get to your question during the session, we will follow up with you individually afterward.

By covering these topics, attendees will gain practical insights, real-world examples, and actionable strategies to prepare their data infrastructure and unlock the full potential of generative AI within their organizations.