In this episode I am accompanied by Charles Southwood, regional vice -president, Denodo Technologies, a company that is recognized worldwide for its data management leadership. With a turnover of $ 288 million and a customer base that includes Hitachi, Informa, Engie and Walmart, Denodo is central to how companies gain access to, trust and acting to their data. Charles brings more than 35 years of experience in the technical industry and offers both a long -term vision on how the data landscape has evolved and sharp insights into the challenges that companies now have to offer.
Our conversation starts with an urgent issue for every organization that investigates generative AI: data reliability. With many AI models that have been trained on huge amounts of internet content, there is a real risk that false information crawls into business output. Charles explains why the softening of hallucinations and inaccuracies is essential, not only for technical quality, but also for protecting the brand reputation and avoiding expensive missteps. We investigate alternative approaches that can benefit companies from AI innovation while retaining data integrity and control.
We also investigate the wider Enterprise pressure that AI has created. The promise of lower IT costs and improved agility is tempting, but how much of this is feasible today and how much is blown up by hype? Charles shares why he believes that 2025 is a turning point for achieving real business agility through data virtualization, and what a virtualized data layer can deliver for teams, marketing and beyond.
Along the way, Charles reflects on the industrial shifts that surprises him most, the decisions he would otherwise take with the benefit of retrospect, and the only gold rule he would share with younger technical professionals who are now starting their career.
This is a conversation for anyone who wants to understand how to use AI and advanced data integration without falling into the trap of poor data quality, exaggerated expectations or short -term thinking.
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