The enterprise AI landscape has reached an inflection point. After years of pilots and proof-of-concepts, organizations are now committing unprecedented resources to AI, with double-digit budget increases expected across industries in 2025. This isn’t merely about technological adoption. It reflects a deep rethinking of how businesses operate at scale. The urgency is clear: 70% of the software used […]
External Data Strategy: Governance, Implementation, and Success (Part 2)
In Part 1 of this series, we established the strategic foundation for external data success: defining your organizational direction, determining specific data requirements, and selecting the right data providers. We also introduced the critical concept of external data stewardship — identifying key stakeholders who bridge the gap between business requirements and technical implementation. This second part […]
Maximize Your Cloud: How Catalyzing Operations Can Drive Business Acceleration
Cloud adoption is no longer a question of “if” but of “how well.” In fact, by 2027, 90% of organizations are expected to adopt a hybrid cloud approach. But amid economic uncertainty and an ever-changing business climate, many companies are experiencing sticker shock when evaluating cloud services and are overwhelmed by how to start implementing […]
Ask a Data Ethicist: How Does Data Dehumanize?
This month’s column was inspired by The Materialists — a film about modern dating for the wealthy. It’s part movie review and part deliberation on this month’s question … How does data dehumanize? I’ve previously written about love in a time of big data and the many ways algorithmically driven dating apps can be biased. […]
How to Turn Your Backup Strategy into a Cyber Resilience Plan
Ransomware is a certainty for all organizations today. The name of the game isn’t when they face an attack; it’s how well they recover when one strikes. Yet despite this inevitability, many organizations continue to struggle with recovery. According to my company’s recent report, 57% of organizations that experienced an attack in the past year […]
Are Data Marketplaces the Future of AI?
AI is hungry for data. But while the algorithms get smarter, the supply chain that feeds them – called data marketplaces – is quietly reshaping how we build AI models. In the past, acquiring the right datasets was an arduous process marked by silos, proprietary agreements, and endless data wrangling. Now, with the rise of digital platforms […]
Insurance for AI Liabilities: An Evolving Landscape
Most businesses expect that artificial intelligence (AI) will save money and promote efficiency as it continues to be adopted and implemented across various industries. But what these companies may not expect – and AI cannot predict – are the myriad ways that AI will result in new and increasing potential for liability. From addiction-forming or defamatory chatbots to automated hiring tools with discriminatory impact, AI-driven technologies […]
Book of the Month: “The Data Hero Playbook”
For July’s Book of the Month, we’re challenging our perspective on data leadership with “The Data Hero Playbook” by Malcolm Hawker. The subtitle is “Developing Your Career and Data SUPERPOWERS,” which gives a sense of the journey the reader is about to engage in. The book ultimately challenges a lot of long-held beliefs and practices in […]
Mind the Gap: The Many Faces of ChatGPT in the Mirror
One of the most significant areas of data ethics concern is bias in generative AI models. Concerns about algorithmic bias are not new. Associative model (i.e., neural network) bias is not new. Even the ceding of consequential decisions to these models is not new. Just a few examples: AI is used to screen resumes and evaluate […]
Reimagining Data Architecture for Agentic AI
As agentic AI and autonomous systems transform the enterprise landscape, organizations face a new imperative: Fundamentally reimagining data architecture is no longer optional; it’s required for AI success. Many enterprises are coming to the realization that traditional data architectures, which are built for structured data and deterministic workloads, are ill-equipped to support agentic AI’s demands […]