Webinar series

Intersection of AI, cloud, data and cybersecurity

Presented by Catalyte

Event details

The success of any AI initiative is built on the three pillars of cloud, data and cybersecurity. These form an interrelated web that support any AI initiative. Without proper analysis of these during implementation, there’s a high risk your AI systems will fail. Hear from Catalyte’s AI Advisory Practice Lead Chris Sorel as he discusses these interdependencies and how organizations can tackle them holistically to ensure AI success.

Speakers

Industry experts bringing over 50 years of combined experience in business, software, and AI.

Understand the true costs and real risks of AI at scale

AT&T supposedly used AI to save $6 billion by improving productivity and customer service. Headlines like this raise the expectations of boards and shareholders that AI can deliver large cost savings.

However, for all the cost savings, there are usually just as many risks associated with AI. Perhaps it’s IP infringement, security threat or data sensitivity—the list goes on. Organizations in highly regulated industries face even more hurdles. It’s essential that your team has deep expertise across multiple domains to unpack the actual cost savings of AI initiatives.

Listen to our AI Advisory Practice Lead Chris Sorel discuss the implications of the convergence of data, cloud and cybersecurity on AI initiatives.