Machine learning (ML) is a subfield of AI that helps train machines to make decisions or complete tasks independently by studying and learning from data. Machine learning enables computers to learn, understand, and make decisions or perform tasks like humans without explicit programming. Machine learning includes the process of building mathematical models from sample historical data […]
Dear Laura: How Will AI Impact Data Governance?
Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. I’ll be sharing these questions and answers via this DATAVERSITY® series. In 2019, I wrote the book “Disrupting Data Governance” because I firmly believe […]
Semantic Technology and Integration 101: What It Is and Why It Matters
New technologies like ChatGPT are all the rage, as they aim to answer questions and provide information that makes our lives easier. Yet, the validity of the results generated has come under scrutiny and, as a result, much emphasis has been made on how organizations can get relevant and trustworthy data into the hands of […]
Automated Remediation Can Make Dashboards a Thing of the Past
A convergence of events – including the global pandemic, a shift to remote work, and increased use of the cloud – has accelerated companies’ digital transformations over the past few years and resulted in an ever-growing labyrinth of hybrid networks and endpoints. Digital transformations may have allowed companies to keep up – to a point […]
Driving Digital Transformation in the Insurance Industry: Embracing AI-Powered Solutions
The insurance industry has witnessed a significant shift in recent years as technological advancements continue to transform traditional business models. From underwriting to claims management, artificial intelligence (AI) and machine learning have paved the way for innovative solutions that improve efficiency, accuracy, and customer satisfaction. One such breakthrough is the emergence of AI-powered solutions such […]
AI Ethics and Innovation for Product Development
AI ethics are a factor in responsible product development, innovation, company growth, and customer satisfaction. However, the review cycles to assess ethical standards in an environment of rapid innovation creates friction among teams. Companies often err on getting their latest AI product in front of customers to get early feedback. But what if that feedback […]
Why CIOs Should Invest in Business Automation
In an increasingly challenging economic environment, it’s essential that chief information officers (CIOs) take a thoughtful approach to investing capital. The 2023 Gartner® CIO and Technology Executive Survey found that more than half of digital initiatives lag behind leadership expectations, with 59% reporting the initiatives take too long to complete and 52% reporting the initiatives take too […]
Making the Business Case for AI
Having made the suggestion the organization you work for needs artificial intelligence (AI) to support future growth, you are now required to make a presentation to the board of directors and convince senior leadership to invest in AI. Below are a few key considerations to consider while making the business case for AI. In terms […]
The Democratization of Data Science and AI: When Anyone Can Advance a Field
“The democratization of data science” or the “democratization of AI” have long been popular buzz phrases. “Citizen data scientists” poke through open-source datasets finding valuable insights and sharing them with the world out of an individual sense of curiosity. And although this absolutely does happen, the reality is most of the time these democratized advances have not […]
Machine Learning Examples and Applications
A subfield of artificial intelligence, machine learning (ML) uses algorithms to detect patterns in data and solve complex problems. Numerous fields and industries depend on machine learning daily to improve efficiency, accuracy, and decision-making. Recently, ML technologies have been reinforced by two subfields of their own: deep learning (DL) and computer vision. Read on for real-world examples […]