Profile of Jessica Davis Senior Editor, Enterprise Apps
Member Since: 9/16/2015
News & Commentary Posts: 637
Jessica Davis is a Senior Editor at InformationWeek. She covers enterprise IT leadership, careers, artificial intelligence, data and analytics, and enterprise software. She has spent a career covering the intersection of business and technology. Follow her on twitter: @jessicadavis.
Articles by Jessica Davis
posted in May 2018
Assembling the pieces to create a modern platform for data management, data governance, and data science can be complex. IBM says it's done the heavy lifting with a private, on-premises cloud platform to do the work.
Over 100 years of crowdsourced data and machine learning help Audubon predict climate change's effect on where birds will live in the future. Here's how a tiny team of data scientists makes a big impact.
Machine learning and advanced analytics are now the centerpiece for companies that got their start as Hadoop distributors.
GSK began an overhaul transformation of its R&D data and analytics infrastructure three years ago. Here's what it looks like today.
A new report identifies the traits of organizations that are getting value -- higher revenues and profits -- due to their machine learning initiatives. Does your enterprise have what it takes?
Spearheaded by the Virginia Institute of Marine Science, the StormSense project combines IoT sensors, cloud systems, predictive analytics modeling, and data visualization mapping to predict flooding impacts and deliver warnings to residents in the Virginia Beach area.
Private companies have conditioned us to expect instant response and services, so we expect that from government agencies, too. But government doesn't always have the same funding that private companies do. Here's how these enterprises are addressing their digital transformations.
Several organizations are assembling the technologies to enable self-sovereign identity, a way for individuals to control who they are online. Blockchain is one of those essential components.
Want to increase the number of job applicants for any job and be able to hire the best workers in the country? Add the term "remote welcome" to your job ad.
What skills will be needed in your data and analytics job in 5 or 10 years? A panel of experts tackled that question at Interop ITX. Here's what they said.
The days of data prep by Excel spreadsheet may very well be numbered as more organizations look to create or buy platforms to simplify the process for everyone. Charles Schwab Corp.'s users have cut their data prep time in half by using a new data prep capability in their data analytics and visualization platform.
Beth Niblock moved to Detroit as CIO to transform the crumbling, antiquated IT operation and infrastructure. Here's what her team has accomplished in 4 years with the limited resources available to a city in bankruptcy.
When your organization gets set for its first run at machine learning, it needs two things -- a realistic vision of what it wants to accomplish and a census of the material or data it has.