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 June 2018
Your business's unique data may be your enterprise's greatest asset. Should you share it with partners and vendors, or should you keep it proprietary?
Aimee Lessard didn't start off as a high-ranking analyst with the intelligence community and data analytics private sector companies. She learned on the job. Here are some of her recommendations for how to get started with analytics, machine learning and AI.
A lawsuit filed by Teradata alleges that SAP lured the company into a joint venture to develop a bridge database for analytics. Soon after it was created and proven in a customer site, SAP pulled the plug. But a few days later it introduced HANA, which did the same thing.
More enterprise application and big data vendors are pursuing a cloud-agnostic strategy -- supporting AWS, Microsoft Azure, and Google Cloud. Big data platform provider Hortonworks is taking that strategy one step farther.
Dun & Bradstreet is transforming its own internal AI and analytics operations, even as it helps customers with their analytics and machine learning transformations.
You don't need a degree in data science to become a top professional in the field. Here's how one Kaggle data science champion taught himself. Now Gilberto Titericz is moving from Airbnb to AI startup Ople.
In the future every company will become a software company, building their own applications backed by advanced analytics, and delivered as software as a service. For some companies, the future is arriving now.
Demand for machine learning professionals is growing faster than for any other job. If you are looking to gain the skills needed for that next stage in your career, check out our short list of free online machine learning courses.
SAP and Oracle have been talking about the cloud for years, but it's no small task to move huge installed bases of on-premises software. New cloud moves show a new momentum.
Overstock is one of the granddaddies of Internet commerce with 20 years worth of customer data to support its marketing analytics. Here's how it increased the speed of models and analysis by 5x.