Read more about author Richard Kreuser. Over the years, interest in artificial intelligence has cycled through periods of intense hype followed by mass disillusionment. To achieve genuine business value from AI, organizations must move past the hype and focus on pragmatic deployment – but that also requires a shift in mindset. Focusing on the following six critical elements will provide a solid foundation for doing so. Define a Clear Business…

Read more about author Katrina Ingram. Companies tend to want to optimize their pricing, while consumers generally try to find the best deal possible. Traditionally, we’ve navigated the tension in ways that respect ethical norms and, of course, laws such as anti-gouging and anti-price discrimination where applicable. At a moment when tariffs are set to raise prices and the cost of buying a dozen eggs in America feels akin to making…

Read more about author David Talby. For years, AI innovation has outpaced regulation, allowing companies to develop and deploy AI systems with relatively little oversight. That era is coming to an end. Governments around the world are introducing comprehensive AI regulations, from the European Union’s AI Act, to NIST, down to state and local laws. As scrutiny intensifies, companies simply can’t afford to treat compliance as an afterthought – it…

Read more about author Farah Kim. It’s a data-driven world, yet most businesses are struggling with dirty data; worse, many are still unable to perform basic tasks like deduplication and record linkage efficiently (and affordably).  A recent report from my company, “Inside 2024’s Data Quality Challenge: Insights from the Frontlines,” reveals some eye-opening insights drawn from real-world conversations with customers. Companies are eager to train AI models and win the…