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Twelve years ago, a Wakefield Research survey revealed that 1 in 3 Americans thought cloud computing was somehow related to the weather. Fast forward to today, 67% of enterprise infrastructure in the US is cloud-based. Given that 92% of enterprises already have a multi-cloud strategy in place or in the works, it’s evident that embracing cloud migration is no longer just an option but a strategic necessity.

Since generative AI exploded onto the global market, organizations have flocked to adopt it. SAP is no exception–late last year, the ERP launched its embedded AI copilot, Joule. In addition, SAP has invested in other AI companies, hired a chief artificial intelligence officer, and added generative AI features to its products. In order to spur cloud adoption, many of SAP’s premium AI features will only be available to RISE with SAP and GROW with SAP customers.

In today’s rapidly evolving tech landscape, it's tempting for businesses to chase after the latest trends—Artificial Intelligence (AI) being the crown jewel of them all. However, unless you're an AI and data analytics provider, focusing solely on AI might be a misstep.

Gemini in BigQuery features are now generally available, including SQL and Python code generation and explanation, and the BigQuery data canvas.

In today's rapidly evolving business era, organizations are not merely adapting to the digital transformation journey, they are actively driving it. Moreover, the statistics surrounding the growing nature of digital transformation in businesses are nothing short of staggering and you can see it below yourself.

In today's rapidly evolving business era, organizations are not merely adapting to the digital transformation journey, they are actively driving it. Moreover, the statistics surrounding the growing nature of digital transformation in businesses are nothing short of staggering and you can see it below yourself.