Six Reasons Why Hybrid, Multicloud Is the New Normal for Enterprises

Organizations are seeking to implement artificial intelligence (AI) and machine learning (ML) at unprecedented rates to harness greater insights, leverage innovation, and optimize efficiency. But AI is evolving at a rapid rate, too.

Harnessing a hybrid, multicloud approach means greater flexibility and freedom for organizations to adapt to emerging trends and seek out providers that offer the best AI technologies available.

The emergence of AI is also feeding into today's hybrid, multicloud environment, largely because AI workloads are typically decomposed into multiple parts and need to be deployed as close to the data they require as possible. This means data is being dispersed across different environments, with 80% of organizations maintaining AI apps in the public cloud and 54% on premises to maximize accuracy, cost efficiency, insights, performance, and security.