The ever-growing tide of data, fueled by analytics and AI, places a significant strain on data center resources and increases energy consumption. With more stakeholder scrutiny and evolving regulations, such as the EU’s Corporate Sustainability Reporting Directive (CSRD), and U.S. regulations on the horizon, organizations are taking notice now more than ever before. As a result, organizations are prioritizing sustainability in their IT strategies.

If you were to stop someone walking down the street and ask them how long artificial intelligence, or AI, has been a hot topic, they might say it’s something that’s emerged mostly in recent years. But AI has been around for a long time, with the term first being coined as long ago as 1955. Generative AI however is a different beast, and one that's largely responsible for moving the topic of AI to the tip of everyone’s tongues – from consumers to enterprises alike.

Hitachi Vantara ensures 100% data availability for operational resilience and compliance Cybersecurity and the need for data resilience are at an inflection point. Data is growing rapidly. By 2025, 180 zettabytes of data will exist globally, Statista reports. Enterprise data is everywhere – on factory floors, on streets and highways, by point-of-sale terminals, and just about anywhere and by any other connected device that you can think of.

The editorial team of Hitachi Vantara sat down for an interview with our Chief Product Officer, Octavian Tanase, to learn about his vision and strategy for AI in the enterprise.

In light of tightening budgets, rising costs, and heightened demand for compliance and innovation, there’s no doubt that many companies are increasingly relying on hybrid cloud environments to modernize their current infrastructure and IT operations. But, according to a recent survey, nearly half of businesses are struggling due to the rapid integration of cloud technologies, the complexity of integration processes, a lack of skilled personnel, and the need for comprehensive cybersecurity measures.