To successfully hire and retain AI talent, employers must start by taking a step back. What do you want to do? Do you want to retain talent because AI is the next big thing and everybody’s telling you that you need to have AI in your product? That may be true. From a sales perspective, […]
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 […]
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, […]
AI Governance in Action: Practical Insights from a Data-Driven Enterprise
As AI adoption skyrockets, how can organizations harness its power responsibly? AI promises enhanced decision-making and customer interactions, but it comes with ethical, compliance, and infrastructure risks. Consequently, AI governance is crucial to address these risks. In response, many businesses turn to their established data governance (DG), aiming to leverage existing controls and procedures. However, AI introduces […]
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, […]
Large Language Models 101
Large language models (LLMs), built on the transformer architecture of deep learning, are designed to process very high volumes of textual data at a high speed. LLMs also have the power to generate new text and interact with human language innovatively. Training on different types of data, including articles, books, periodicals, and websites, LLMs develop […]
Unstructured Data Hinders Safe GenAI Deployment
Enterprises are going all in on generative AI (GenAI), with the technology driving a massive 8% increase in worldwide IT spending this year, according to Gartner. But just because businesses are investing in GenAI doesn’t mean they’re broadly implementing it in actual production. Organizations are eager to wield the power of GenAI. However, deploying it safely […]
Answering the Build vs. Buy Question for Generative AI
Building custom generative AI (GenAI) technology solutions is the best way to gain a competitive edge by leveraging GenAI tools and services tailored to your business. On the other hand, building GenAI models from scratch is a costly and complicated endeavor – which is why many businesses instead settle for a genAI strategy wherein they […]
Generative AI Is Accelerating Data Pipeline Management
Data pipelines are like insurance. You only know they exist when something goes wrong. ETL processes are constantly toiling away behind the scenes, doing heavy lifting to connect the sources of data from the real world with the warehouses and lakes that make the data useful. Products like DBT and AirTran demonstrate the repeatability and […]