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 […]
Why GenAI Won’t Change the Role of Data Professionals
The recent rise of GenAI has sparked numerous discussions across industries, with many predicting revolutionary changes across a broad range of professional landscapes. While the processes data professionals use and the volume of work they can sustain will change because of GenAI, it will not fundamentally change their roles. Instead, it will enhance their abilities, […]
Book of the Month: “AI & The Data Revolution”
Welcome to October 2024’s edition of “Book of the Month.” This month, we’re enjoying some time in the fall sun and the local library diving into Laura Madsen’s “AI & The Data Revolution.” The central theme of this book is the management and impact of artificial intelligence (AI) disruption in the workplace. Madsen shares her […]
How to Make Generative AI Work for Natural Language Queries
As businesses increasingly rely on data-driven decision-making, the volume and complexity of data within enterprises have grown exponentially. However, processing this data and deriving actionable insights remains challenging due to the reliance on human analysts. The explosion in interest surrounding text-to-SQL (T2SQL) solutions and the capabilities of large language models (LLMs) like ChatGPT have presented […]
The AI Chasm: Bridging the Divide Between Research and Real-World Applications
Imagine a world where AI can accurately predict earthquakes, giving us precious time to save lives. Yet, the same technology struggles to understand essential voice commands through your home assistant during a noisy family dinner. This striking dichotomy between the potential of cutting-edge AI research and its often underwhelming real-world applications underscores a significant yet […]
Data vs. AI Literacy: Why Both Are Key When Driving Innovation and Transformation
I have written before about the 5Ws of data and how important metadata – data about data – really is. This knowledge helps connect and contextualize data in ways that previously would take hours of knowledge and information mining. We have the tools now to automate this process and display it in a knowledge model of the data, […]