Profile of Jessica Davis Senior Editor, Enterprise Apps
Member Since: 9/16/2015
News & Commentary Posts: 505
Jessica Davis has spent a career covering the intersection of business and technology at titles including IDG's Infoworld, Ziff Davis Enterprise's eWeek and Channel Insider, and Penton Technology's MSPmentor. She's passionate about the practical use of business intelligence, predictive analytics, and big data for smarter business and a better world. In her spare time she enjoys playing Minecraft and other video games with her sons. She's also a student and performer of improvisational comedy. Follow her on Twitter: @jessicadavis.
Articles by Jessica Davis
posted in April 2018
Experts agree that artificial intelligence and automation will impact jobs -- eliminating many and creating some, too. Here's what a group of experts had to say during a Congressional hearing about just how AI will impact tomorrow's workforce.
IT organizations are focused on the cloud right now with automation and big data analytics also ranking pretty high on their to-do lists. AI, machine learning, and blockchain are down very low on the list of priorities.
Looking to learn from other people's experience and mistakes to leapfrog ahead in your career? We asked top leadership experts for their wisdom. Here's what they said.
How can you apply machine learning and AI to predict the success of a new idea? Will that old data you have work? Here's a different approach.
Data provider Dun & Bradstreet has been providing information to subscribers and customers for 177 years. Now it is exploring Blockchain and machine learning to improve its offerings.
McKinsey Global Institute examined hundreds of artificial intelligence use case to figure out the ones that yielded the highest value for organizations. That big-picture vantage point yield one surprising and boring truth about the value of AI.
Nervous about your privacy online? We've asked data and analytics experts how they protect their own privacy. Here's what they said.
IoT analytics will go from experimental to mainstream in 2018, and a few new vendors are getting into the game. Here's why it makes sense now.
AI may not be widespread in many enterprises yet, but a new survey shows some organizations say that they are already planning deep learning projects.
CIOs want to invest in AI projects, but some just aren't ready to build it out themselves. So Oracle and SAP are both offering AI technologies to enterprise customers to get them started.
Data management cloud and enterprise software vendor Informatica has seen a surge in interest for data catalog as organizations grapple with the looming GDPR deadline and data privacy issues. Here's what else the company's CEO sees as big trends in data for 2018.
Southwest Airlines operates a fleet of 700 aircraft flying 4,000 flights a day. Here's how it uses analytics to manage all the complexity that comes with that.
Nissan NA was about to launch a new data visualization platform across the enterprise and wanted to encourage self-service analytics. Here's how it got users to get in and drive.
You've spent your career learning about IT -- network troubleshooting, programming languages, and data management. But now they want you to manage a team of people. Here are a few tips to get you started on your new journey.
Your competitor has a shiny new AI-driven chatbot, so shouldn't you be developing one, too? Not necessarily. Here's why these customer-facing bots may not be the best first project for your AI program, and what you should choose instead.
Big data is past the hype stage, but are organizations really past the challenges and getting the most value out of big data technologies? Not so much. Here's a look at the state of big data maturity and the challenges that remain.