Where are we in the AI hype cycle? The initial shock of ChatGPT has subsided, and AI cynics now argue that progress in large language models (LLMs) has plateaued. Some argue that the hype is morphing into disillusion. In my opinion, this perception misses what’s most important. While big tech may be struggling to show […]
All Ears on Generative AI Voice Tech
Generative AI is having a moment, and while we often think of visual and written applications, one emerging area to watch is speech-to-speech technology. With the promise of revolutionizing communication by transforming one person’s voice into another’s or even into a different language in real time, the possibilities are endless. With the promise of reshaping […]
Three Steps Toward Quality, AI-Ready Data
AI is the new technology darling of the business world, and rightfully so. IDC found that companies that invest in AI realize an average return of $3.50 for every dollar spent. Generative AI alone could add the equivalent of $2.6 to $4.4 trillion annually to the global economy across the 63 use cases McKinsey and Company analyzed. The excitement […]
Evolving Data Governance in the Age of AI: Insights from Industry Experts
The AI revolution isn’t coming: It’s here, and organizational governance structures are woefully unprepared. While 64% of businesses expect AI to increase productivity, most AI models fail. This result highlights a stark gap between potential and reality. Getting timely and usable data sets for AI training and analysis is crucial for becoming data-driven. At the heart of this multi-faceted challenge lies […]
How AI Is Changing SQL for the Better
Structured query language (SQL) is one of the most popular programming languages, with nearly 52% of programmers using it in their work. SQL has outlasted many other programming languages due to its stability and reliability. SQL doesn’t change dramatically from version to version, and that consistency, combined with a logical design that allows it to deliver […]
AI for Climate Change: Innovative Models for Predicting Environmental Impact
Climate change presents one of the most significant challenges of our time, demanding immediate and sustained action across all sectors of society. As temperatures rise, ice caps melt, and weather patterns become increasingly unpredictable, the urgency to understand, mitigate, and adapt to these changes becomes critical. In this context, innovative technologies, particularly artificial intelligence (AI), […]
Ask a Data Ethicist: Does Using Generative AI Devalue Professional Work?
A couple of weeks ago, a management consultant I met made an off-the-cuff remark that caught my attention. I was asking them about the ways in which generative AI might impact their business and they shared that clients might not want to pay $50,000 for a slide deck anymore if they disclosed that generative AI […]
3 AI Misconceptions That Are Constraining Real-World Results
The promise of artificial intelligence to catapult businesses to new heights in productivity, decision-making, and customer experience is very real. Unfortunately, a lot of the information about AI that enterprise leaders are using to guide decisions right now is not. For companies to achieve the true potential of emerging AI-driven technologies, we need to set […]
AI Advancement Elevates the Need for Cloud
The widespread adoption of artificial intelligence (AI) and machine learning (ML) simultaneously drives the need for cloud computing services. Enterprises aiming to effectively train huge datasets and navigate advanced neural networks will need to rely on more flexible and dependable solutions for managing challenging computing tasks. That is why organizations should look to hybrid solutions […]
New Tools, New Tech, Same Roadblocks: Data Governance in the Age of AI
Organizations are racing to adopt AI for its promise of efficiency and insights, yet the path to successful AI integration remains fraught with obstacles. Despite advancements in tools like ChatGPT and Google’s Gemini, fundamental issues with data governance – such as high costs, poor data quality, and security concerns – continue to hinder progress. Stop me […]