Opinion

While AI's potential is limitless, so are its risks. There remain concerns about accuracy and data bias in AI models, which could widen health care gaps. To address this, facilities must invest in training tools to read diverse datasets, set governance guidelines, and enable cross-functional teams that address both the tech and ethics sides of development.

Think regionally. Build for compliance from the start. Use AI like it’s your co-founder. And always, always prioritize vision over vanity metrics. Because at the end of the day, growth without grounding is just noise.

As cyber threats continue to evolve, organizations have to treat resilience as a priority. True cyber resilience demands much more than the newest tools, requiring a fundamental shift in mindset, where security is woven into every aspect of operations. Organizations must combine cutting-edge technologies with robust processes and strong governance. On the…

Gaining full visibility into data is the critical first step toward building a winning data management strategy. Businesses that implement the trifecta — lifecycle management, pipeline management, and data federation — are better positioned to turn chaos into clarity and data into a true driver of growth.

Building a collective defense requires not only robust technological safeguards but also an informed, critical, and vigilant population empowered to discern truth from manipulation.

As tokenization spreads across music, art, and live events, it’s clear that entertainment is entering a more participatory era. With real-world assets now digitized and decentralized, creators gain greater control, fans gain new value, and the industry as a whole moves toward a more transparent and equitable future.

The financial world moves fast. Errors move faster. And regulators are paying attention. AI isn’t just a competitive edge anymore, it has become a necessity. For finance teams, it's time to stop playing catch-up and start getting ahead of the curve with AI as their ally.

Training and development are means to improve workers‘ performance and to create growth in efficiency, productivity, motivation, innovation, and overall satisfaction.

Beyond enterprise action and widespread change from the data center industry, and those investing in this industry, as individuals, we too have responsibility for our own usage of AI. Using AI responsibly may include minimizing trial-and-error use by optimizing prompts, de-duplication of data and avoiding unnecessary iterations. While it’s easier said than…

Having a small marketing budget doesn't mean you cannot have a huge impact. With the correct tools powered by AI, even small businesses can automate time-consuming processes, extend custom-tailored service, analyze outcomes with no difficulty, and compete with larger companies.