Organizations invest considerable resources into collecting customer data to build digital footprints and profiles for enhancing the customer experience (CX). Previous technologies and toolsets limited businesses to simple, structured data, which included mainly transactional information as well as customer and call center conversations. Then, they would use a solution like sentiment analysis to determine if […]
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 […]
Putting Data Mapping to Work
In my previous blog post, I defined data mapping and its importance. Here, I explore how it works, the most popular techniques, and the common challenges that crop up and that teams must overcome to ensure the integrity and accuracy of the mapped data. Data mapping establishes relationships and connections between data elements so we can […]
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 […]
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 […]
Identity as Infrastructure: Why Digital Identities Are Crucial and How to Secure Their Data
Whether it’s building roads or optimizing power supplies, investing in infrastructure is vital to the safety and efficiency of nations and organizations. And in today’s digital age, this investment must extend to establishing trusted identities for all. Identity is foundational for a robust public infrastructure, initiating substantial economic growth – like using driver’s licenses to […]
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 […]
Unleashing the Power of People and Culture: The Ultimate Drivers of Data Governance Success
In the high-stakes world of data governance, where organizations strive to protect and leverage their most valuable asset, one truth stands out: technology alone won’t get you there. The secret sauce? People and culture. They are the lifeblood of any successful data governance strategy, the pulse that drives data literacy, and the force that propels […]
AI-Powered Data Preparation: The Key to Unlocking Powerful AI Use Cases
Generative AI (GenAI), specifically as it pertains to the public availability of large language models (LLMs), is a relatively new business tool, so it’s understandable that some might be skeptical of a technology that can generate professional documents or organize data instantly across multiple repositories. On the one hand, AI-powered data preparation sounds too good to be […]