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 […]
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 […]
Harnessing Data: From Resource to Asset to Product
Companies that are data-driven demonstrate improved business performance. McKinsey says that data and analytics can provide EBITDA (earnings before interest, taxes, depreciation, and amortization) increases of up to 25% [1]. According to MIT, digitally mature firms are 26% more profitable than their peers [2]. Forrester research found that organizations using data are three times more […]
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 […]
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 […]
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, […]