Artificial intelligence (AI) provides companies with capabilities that even recently seemed unimaginable, including advances in self-driving vehicles, rapid drug development, natural language understanding, and better risk management in finance.
But these advanced technologies require companies to take a more strategic view of their cloud adoption, so they have the IT foundation to make full use of state-of-the-art AI.
AI technology is at an early stage: most companies still rely on infrastructure foundation designed for general-purpose components, rather than developing an infrastructure stack honed for the complex and demanding needs of advanced AI.
Harvard Business Review Analytic Services has created a report examining opportunities and demands that AI presents and the need for companies to reexamine their cloud strategy.
On Wednesday, April 19, in a live, interactive HBR-AS webinar, Alex Clemente shared key findings from this report. He then discussed cloud strategies to support advanced AI with Nidhi Chappell, General Manager of Azure HPC for AI, SAP and Confidential Computing, Microsoft, and Ritu Jyoti, Group VP, AI and Automation Research & Advisory, IDC. Chappell and Jyoti looked at:
- How advanced AI is creating unprecedented growth opportunities
- Problems companies face related to cloud and AI technologies
- Choosing the right cloud platform for your AI goals
- Why you need to prepare your company before scaling AI and cloud capabilities