I've seen how fragmented #DataManagement can fuel #TechDebt. Be excited about #AI's potential, but don't sweep existing issues under the rug. Use it to your advantage. “It’s like a truth serum. AI will let you know what that #Data state is.” cio.com/article/348165…

I can recall when AI started hitting the peak of its hype cycle some touted it would solve our climate change challenges. The data shows otherwise. #AI won't be a "climate solution" without changes. @reece___rogers wired.com/story/ai-energ…

#DataGovernance doesn't slow progress, it enables it. #Data is considered a top asset for businesses today. It warrants a close eye and boundaries that align with business objectives. #AI computerweekly.com/news/366602276…

AI Ethics requires cross-functional collaboration at a global scale. Cultural context can be observed, but understanding requires immersion. As with most global policies, we must engage with the people on the ground. #AI #AIAdoption #Ethics hbr.org/2024/08/how-co…

I'm proud to be teaching several modules in Carnegie Mellon's enhanced CDAIO Certificate Program. Elevate your #DataLeadership, drive impact, and join us. I'm excited for this next chapter. Heinz College at CMU heinz.cmu.edu/programs/execu… #CDO #CMU #LeadershipDevelopment

In any initiative, getting the foundation right is key. Deploying #GenAI is no exception. Upfront investment in #Data curation directly impacts a system's ability to #Scale effectively, maintain security, and comply with regulations as it evolves. bcg.com/publications/2…

A sustainable #AI strategy is partly based on the technology we adopt, and partly on #TalentDevelopment. Build a workforce that's deeply curious, data-savvy, and accountable. #Skills fastcompany.com/91171652/the-t…

When we cut corners on #DataQuality, we risk making decisions that could harm our businesses and the people we serve. "The lesson at the heart of this story is a simple one: good data science + bad data = bad business results." #AI #Data hbr.org/2024/08/ensure…

We can't talk about #GenAI's value without talking about its economic costs: massive #CarbonEmissions, energy consumption and water use. Gen AI's #Environmental impacts require more attention, especially as capabilities advance. earth.org/generative-ai-…

#DataOrchestration creates a cohesive system where every piece of information flows seamlessly. You wouldn't put an orchestra's sections in different rooms to play a symphony- the same goes for siloed #Data. #BusinessTransformation cio.com/article/228431…

Companies that prioritize #Transparency and #Safety in AI systems now will be better positioned to navigate the future #Regulatory landscape. Even in the absence of binding mandates, taking proactive measures is the responsible thing to do. #AI techtarget.com/searchcio/news…

The technology isn't the hard part. #Transformation ultimately about #People. Picking up on a negative "vibe" is one of the first indicators that a #Transformation's getting out of hand. To do that, stay in tune with the #EQ of your team. hbr.org/2024/08/is-you…

I've seen this play out before - with the intro of internet, large scale ERPs, big data, etc.- we train too conservatively with new technologies, thinking they only apply to certain roles. #AI needs #Training for all. Invest in #Reskilling. #AISkills cio.com/article/349857…

#Regulation has yet to match #AI's adoption pace. That'll be the case for the foreseeable future. Develop clear strategies for #AIGovernance that align with long-term goals, mission, and values in the meantime. #AIGovernance #Ethics #Accountability corporatecomplianceinsights.com/8-questions-ri…

Leaders are moving past the "hype" #GenAI era and entering a phase where businesses focus on real-world applications that drive #Value. Learning from experimentation, translating to impact. ciodive.com/news/generativ… #Potential #Realistic #AI

In my recent conversations with boards and #IT leaders, #DataOrchestration is an increasingly relevant topic. #AI is a significant piece of this puzzle, but its use cases vary depending on the organization. cio.com/article/353912…

A major challenge in scaling #AI will be in power grid management particularly as energy consumption proves to be a major bottleneck for development. The way industries can overcome this at scale will likely be #QuantumComputing. #Innovation wsj.com/business/energ…

As far as looking at the big picture goes, this is a willful blind spot. On the business side, use #GenAI where it makes an inarguable difference. Otherwise, look for other ways to optimize. Useful doesn't mean essential. #EnergyConsumption #ROI techtarget.com/searchcio/feat…

Decentralized, centralized, hybrid...there's no definitive "right" option. In my experience, the best option is tied directly to your business model, goals, mission, and values. It's all in the nuance. #DataArchitecture #DataGovernance #DataAnalytics mckinsey.com/capabilities/m…

There are pros and cons to using synthetic data for purposes such as model training and infrastructure testing, particularly as organizations look to build competent ways to manage huge arrays of unsorted data. #Data #Innovation #DigitalTransformation #AI informationweek.com/data-managemen…