Profile of Jessica Davis
Senior Editor, Enterprise Apps
Member Since: 9/16/2015
Author
News & Commentary Posts: 547
Comments: 2
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 2019
4/30/2019
As AI and underlying technologies such as machine learning and deep learning spread, we need to create a field of study that examines machine behavior.
4/30/2019
In its effort to cure pediatric cancer, the research hospital faced challenges associated with sharing terabytes of data with researchers. Here’s what they did.
4/25/2019
Distributed teams can offer your organization an advantage over your peers. Here’s how.
4/22/2019
Osano and its browser plugin, Privacy Monitor, aim to provide consumers with transparency regarding consumer data privacy policies. The company will release data supply chain tools for companies later this year.
4/17/2019
Artificial intelligence is adding value for many enterprise organizations, but getting it into production takes longer, costs more, and adds less value than many organizations are expecting.
4/16/2019
T-Mobile was using the same analytics platform it had in 2005 when the iPhone was new and George W. Bush was president. Now, the mobile carrier has modernized.
4/12/2019
Adding external data sources to your analytics and machine learning initiatives can provide new dimensions of insights. Here are some sources of data you can tap.
4/9/2019
The big enterprise IT vendors -- IBM, Microsoft, Oracle, and SAP -- all want you to buy more and pay more. Here are some tactics for you to protect your organization and get the best deal as you plan and engage in negotiations with them.
4/3/2019
Operationalizing those data science, analytics, and machine learning projects is one of the top concerns of IT leaders. But the same tried-and-true best practices you've used for other IT projects can guide you on these new technologies, too.
4/2/2019
CIOs say that AI and machine learning are the top technologies that will drive transformation, but there aren't many enterprises who have them in production, yet. Here's how they are planning to get there.
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