Profile of Jessica Davis Senior Editor, Enterprise Apps
Member Since: 9/16/2015
News & Commentary Posts: 535
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
Nearly every enterprise is undergoing a digital transformation. Some are more successful than others. Here are 6 factors shared by the successful ones.
IT pros must do real research about their value in the market if they want to be paid fairly. InformationWeek’s 2020 IT Salary Report can help technologists get started.
ERP giant SAP wants all its customers to migrate to its new platform S/4HANA, but it's a time consuming and expensive process. So the company is extending maintenance on its earlier platform.
AI will become an integral part of IT service management and related tools. Here's a look at what ServiceNow is doing to incorporate artificial intelligence.
The World Health Organization has declared the coronavirus a global emergency. Here's how governments and the general public are using analytics to track the outbreak.
A cloud data warehouse company came in first as the fastest growing application in a new report of the most popular business applications from Okta.
Many big enterprises are committed to public cloud, but they may just be getting started with data management efforts in multi-cloud environments.
The unemployment rate is at 3.5% and IT pros are in high demand so employers are increasingly offering these perks to win the recruitment wars.
Amid all the marketing hype and buzz around AI, and the complexity of implementing it at scale, here's a practical high-level framework that could help enterprises with their programs.
The Pennsylvania Turnpike may be 80 years old, but its GeoAnalytics program is leveraging geographic information to drive the future.
IT hiring in December lost momentum, but it looks like it might just be a momentary blip. Here's why CompTIA remains confident about IT jobs.
Low-code platform vendor Appian is looking to provide a single platform for automation, AI and low code with a new RPA acquisition.
Organizations have invested heavily in data and AI technologies, yet many are still waiting to see big results. Here's one more change they need to make.
As more IT spending goes to cloud providers, IT organizations are seeing their influence and control shift.
After a year of consolidation and post-hype AI deployment disappointment, here's what we can expect for 2020 and beyond.
You can find out where you need to go to enjoy a white Christmas, and also access more than 40,000 data sets from the U.S. Department of Commerce.
A dev team inside the insurance company took on the task of reducing insurance quote times for customers from 30 minutes to 2 minutes. Here's how.
The data, analytics, machine learning, and AI market looks a lot different than it did a year ago following a series of big acquisitions. Here's a look.
Who should you ask for advice about getting a salary increase? Probably not your parents.
Enterprises have been slow to move their pilot machine learning and AI projects into production, but now Amazon AWS is offering a host of new services to help.
For those looking to put their best foot forward or get unstuck from a career plateau, we've collected tips from IT pros who have navigated a successful career.
Here are seven digital disruptions that you may not see coming.
Enterprises have stalled in deploying AI to production, but platform investments from commercial providers may help them wrangle their open source models.
Data and analytics are permeating all parts of the digital enterprise. Here are the trends you need to watch in the years ahead.
Don't make these nine digital transformation mistakes that will slow down your efforts to be competitive in a new era.
Here are the technology trends CIOs and IT leaders need to watch next year, according to Gartner.
IBM says that Watson can help enterprises struggling to get past the pilot phase with their AI programs.
Your AI program needs to incorporate fairness, transparency, security, and ethics. Here are the basics.
Reaching the right "techquilibrium" will enable enterprises to compete and lead as they work toward digital transformation, said Gartner analysts during a keynote address at Gartner Symposium.
SAP CEO Bill McDermott, who presided over dozens of acquisitions and the launch of what may be the biggest change to SAP's flagship product, has stepped down, making way for new leadership.
Analytics stalwart SAS wants to help organizations get to that last mile of digital transformation by moving them from pilot projects to deployment to modeling and governance.
Last year if you had a tech problem, blockchain was the answer. Now blockchain has reached the "trough of disillusionment," according to Gartner.
U.S. government data centers have consolidated and become more efficient in the last 10 years. Now they are adding AI and automation to the mix.
Making the right technology investments can double your growth rate compared to that of your less progressive peers, according to a new report from Accenture.
Getting machine learning from the pilot into production is a hot issue in 2019. MLOps is one of the ways enterprises are doing it.
So you've succeeded with your automation and AI pilot project. Now how do you get to scale?
You may not hear a lot of enterprise executives talking about it, but open source software is becoming a mainstay in big organizations.
At an Oracle OpenWorld keynote address, Larry Ellison said the autonomous nature of Oracle's cloud could protect customers from data breaches, and announced several product updates.
To make the most of going digital, organizations must transform legacy operations and invest in new digital business, according to consulting firm McKinsey.
As the dust clears from HPE's acquisition of MapR in the climax of the Hadoop story, Cloudera sets out the plan for an era of big data platforms in the cloud.
A new KPMG report provides an inside view into how big companies are investing in and deploying artificial intelligence and machine learning technology.
Data science and machine learning are gaining more of a foothold in organizations of all sizes, but the largest of organizations have the advantage of more resources to invest.
In Burtch Works' annual survey of the preferred tools of advanced analytics, data, machine learning, AI, and other quantitative professionals, Python pulled ahead of the pack.
Machine learning in pilot and production is growing in many industries, and finance is no exception, but there are concerns.
In business for just 6 years, newcomer Flexport is disrupting the freight forwarding and import/export global shipping logistics arena with data and analytics.
Robotic process automation offers enterprises a way to leapfrog to the benefits of digital transformation. Here are 10 vendors that can help in your efforts.
More enterprises are putting their data operations in the cloud, a trend that will continue as AI, machine learning, and other analytics efforts accelerate.
HPE will expand its data and analytics portfolio through its acquisition of embattled Hadoop pioneer MapR.
Having grown by many acquisitions to be perhaps the largest beer company in the world, Anheuser Busch InBev is working to create a unified view of all its data.
Is there anything more headache inducing than the idea of IT efforts needed for a merger or acquisition? Here's a look at one CIO's journey and lessons learned.
RPA is the fastest growing category of software today, driven by enterprise digital transformation efforts. Here's how to make the most of it.
Otis pioneered predictive maintenance before most heard the phrase Internet of Things. Now the 166-year-old company is prepping the elevator of the future.
Will your job end up being automated or eaten by an AI or robot? Here's a deeper look at careers that will continue to be in high demand in the decade ahead.
IBM is creating a richer technology stack to help customers ascend the ‘AI Ladder,' gaining the foundation for an artificial intelligence practice.
CDOs are everywhere today, but are they really doing an effective job? Here's how you and your organization can make the most of data and analytics investments.
Of the top five database vendors by revenue, four are also cloud service providers -- Oracle, Microsoft, AWS, and IBM. The future of DBMS is in the cloud.
Artificial intelligence is actually a term that encompasses a host of technology and tools. Here's a closer look at some of the more important ones.
Quantitative executive recruitment firm Burtch Works annual salary survey revealed changes in the job market for data scientists and predictive analytics pros.
Machine learning upstart DataRobot, which pioneered the AutoML category, acquired ParallelM to help organizations move their models into production.
Data and analytics in the cloud era may favor platforms based on platforms that are more flexible than Hadoop. But that doesn't mean there's no future for the early big data technology.
Salesforce buys Tableau, and Google buys Looker, kicking off a new wave of consolidation in the analytics and BI space.
To apply AI to customer service interactions, you need both machine learning and natural language processing, which is why demand for NLP skills are on the rise in the job market.
MapR has filed a notice that it could shut down in mid-June, and Cloudera said that customers are holding off on signing new deals.
IBM's anchor database technology's new infusion of AI support comes years after the company's Watson AI famously beat Jeopardy champion Ken Jennings.
Automation and AI will replace some job tasks today, and the workforce and demand for skills will evolve for a new future.
Learn how IT Leaders from Eversource Energy, Intel and Accenture Technology are looking at digital innovation – today and tomorrow.
As CIOs and other IT leaders shift their AI programs to incorporate more buying than building from scratch, vendors are adding new artificial intelligence capabilities to their platforms to meet the demand.
At Interop, three CIOs will share the details of their most innovative projects during keynote Lightning Talks. Then we'll dive deeper into their strategies with a moderated panel discussion.
Data hunter, data scout, or data acquisition specialist may be the new hot career as organizations look to enrich the value of their data analytics and machine learning initiatives with external data.
Implementing industrial IoT means adding new types of data and gaining a host of new and unexpected insights.
The data science and machine learning platform market is much more competitive today than it was 10 years ago. Here's how SAS plans to compete.
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.
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.
Distributed teams can offer your organization an advantage over your peers. Here’s how.
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.
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.
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.
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.
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.
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.
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.
Can data and analytics save the world? Here are several use cases of people and companies targeting real problems.
Ford Motor Co. faces a future of autonomous vehicles, changing attitudes on car ownership, and new consumer expectations. Here's how Ford's IT group is supporting the company's vision.
Here's a look at seven emerging technologies that will disrupt your business, marketplace, and culture.
Analytics, and AI offer great potential, but concerns over privacy, AI replacing humans, and negative consequences have cast a pall. Now, lead with purpose.
Do your executives and business contributors understand AI? If not, they probably will soon.
IoT isn't quite mainstream yet, but analysts and consultants agree that the opportunity is huge, and it's time for enterprises to get ready.
CIOs have made headway towards a more strategic position in the organization, but challenges remain on the road to digital.
Technology has become a strategic asset in business. Here's how to get your board to focus on technology's value.
Adding external data to your analytics or machine learning efforts can increase the value of your insights.
With diverse brands such as business card site VistaPrint and fashion apparel and accessories customization studio Vida, Cimpress has a formula for efficiency.
Robotic process automation software is growing fast in enterprises. Here's why it can be an attractive option for businesses racing into digital transformation.
NewYork-Presbyterian Hospital recognized that the same kind of machine learning concepts used for cybersecurity could be used to fight the opioid crisis.
IBM is leveraging Kubernetes to enable its Watson AI to run on public clouds AWS, Google, and Microsoft Azure. The move signals a shift in strategy for IBM.
When TaylorMade Golf spun off from Adidas, it had to separate all its operations, including IT, and used the opportunity to try the Oracle Autonomous Database.
Artificial intelligence is the brains behind self-driving cars, cancer research, and more. Now the White House has created an initiative to foster this technology.
AI facial recognition algorithms are far from perfect. Here's what you should know if your enterprise is considering deploying this technology.
Forget the little pilot project. Enterprises that want to survive the disruptions ahead need to get their tech ready today or expect to be gone in two years.
How a service provider to insurance companies modernized its data infrastructure to create products for the modern age.
CIOs and IT organizations will take a more central role in all of business in a few years. Here's what you can expect.