Profile of Jessica Davis Senior Editor, Enterprise Apps
Member Since: 9/16/2015
News & Commentary Posts: 322
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 January 2016
MapR is expanding its free training on Hadoop and Spark, Gartner says the advanced analytics market is growing fast, and Microsoft gets generous with deep learning. Plus, how to stop your leaders from making decisions. All that and more in our big data roundup for the week ending January 31.
Informatica's new CEO spoke with InformationWeek about what's next for big data in the enterprise and how he plans to deliver that for customers. Here are the details.
Talend has acknowledged Informatica's objections to a recent big data integration benchmark test. The company has issued an invitation to Informatica to participate in creating a new benchmark test. Will Informatica agree to the challenge?
Cloudera has updated a key tool for managing big data, Google has contributed its Cloud Dataflow platform to the Apache Foundation Incubator. We have this and more in our Big Data Roundup for the week ending January 24.
ERP software giant SAP reported revenue growth for its Q4 and full fiscal year, along with strong growth of its cloud business. But the strength of the cloud business weighed on profits, which declined for both the quarter and the year.
AI and machine learning are graduating from science fiction to reality. It's estimated that about half of large enterprises are currently experimenting with AI projects. Several vendors, including Facebook, Google, IBM, and Microsoft, have donated machine learning development projects to open source.
In our big data roundup for the past week, we've got news from Microsoft about what it's been doing with statistical modeling language R, IBM's acquisition of a real-time fraud analytics company, Baidu's donation of some machine learning efforts to open source, and a management shakeup at Apache Spark company Databricks.
Now that big data initiatives are going mainstream in Fortune 1000 companies, CIOs and other C-level executives are targeting the next frontier -- how to transform all that information into products and services -- according to a new report.
Microsoft acquired Revolution Analytics and its distribution of the open source R statistical modeling language almost a year ago. Today the company showed that R continues to be a cornerstone of its advanced analytics strategy. Here are details on the updates.
As an IT and electronics distributor, Avnet is in a unique position to view the trends driving the technology industry. It's also in the position of implementing those trends itself, including cloud computing and customer self-service. Here's how CIO Steve Phillips aligns IT with business at Avnet.
Apple is getting emotional. The company has acquired a startup that claims its facial recognition software can read your feelings. Meanwhile, Microsoft gets ready to update its R strategy, vendors offer their 2016 big data predictions, and more. Here's our big data roundup for the week ending January 10, 2016.
Twitter is a veritable playground for data scientists looking to scrape and analyze public data. But it's also a great place to learn about what data scientists, business intelligence practitioners, and analytics experts are thinking. Here are 11 of our favorites on Twitter.
Microsoft's announcement of updated Windows 10 activation numbers includes the mention that more than three-quarters of the company's enterprise customers are running an active pilot of the operating system.
What's in store for big data in 2016? Expect updates in machine learning, real-time data-as-a-service, algorithm markets, Spark, and more.
While much of the world might have been busy digesting the Roast Beast, big data land this week saw the benchmarking of streaming technologies, the language that's edging out Java as the top one for beginning programmers, a new way to understand a modern classic holiday movie using statistical tools, and more.