In the latest installment of “Talking Tech with Travis,” my guest Scott Sinclair from Enterprise Strategy Group delved into the shifting dynamics of cloud computing and the transformative impact of generative AI. Over the years, we’ve witnessed a significant diversification in cloud adoption, with organizations strategically utilizing multiple public cloud providers alongside on-premises and hybrid solutions. This strategic approach allows companies to optimize performance, manage costs and streamline data operations based on their specific requirements.
What’s particularly intriguing is the resurgence of on-premises infrastructure, fueled by a newfound appreciation for its role in housing high-value data and critical applications. Now, with the rise of generative AI, we’re seeing a renewed focus on investing in AI capabilities across both cloud and on-premises environments. This dual approach is driven by the imperative to leverage proprietary data effectively, enhancing the precision and applicability of AI models.
“88% of organizations identify, ‘Hey, look, all things being equal, we prefer to run AI on-premises.'”
– Scott Sinclair, ESG Global
As we navigate this dynamic landscape, the key takeaway is the importance of harnessing the unique strengths of each platform to achieve operational excellence and propel innovative AI initiatives forward. Stay tuned as we continue to explore these trends in upcoming episodes of Talking Tech with Travis!
