Profile of Jessica Davis Senior Editor, Enterprise Apps
Member Since: 9/16/2015
News & Commentary Posts: 489
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
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.
Google's appeal of its GDPR fine over data privacy and transparency just may illuminate the best way forward for enterprise IT.
Executives and entrepreneurs offer advice about finding mentors, creating mentor programs, and giving back.
Combining computer vision, IoT, and AI creates a system that delivers more value than those three technologies in isolation, as the retail industry is highlighting.
Take a look at the forces shaping the job market for data scientists and AI experts, according to a leading quantitative executive recruitment specialist.
Virtual employee assistants and voice interfaces to enterprise applications are relatively rare in enterprises today, but Gartner is predicting big growth in the next few years.
If you want customers to be loyal to your company or to your brand, you need to protect their data and treat it with respect.
Retailers will invest more heavily in IT technology than other industries do in the coming years. Here's how this industry will leverage technology to take them into the future.
What are some of the big data-oriented trends for enterprise programs and culture in 2019? Here's a look.
Plenty of enterprises have run pilots or small-scale projects that leverage machine learning and AI. Scaling those to high-value, large-scale data projects can get complicated.
Get your career ready for the future. These 6 top emerging technology jobs are ready for big growth in 2019.
Things happen fast in artificial intelligence and machine learning. Here are some of the highlights of 2018.
AWS Outposts will let enterprises put the AWS hardware and software in their own data centers, providing the benefits of the public cloud for sensitive data.
Capital One CIO Rob Alexander has transformed his organization from an IT shop into a software company with Agile development, public cloud, new talent, open source technology, and machine learning.
Daimler Financial Services CIO Udo Neumann says you may be successful today, but unless you transform and innovate, that success will be gone.
Cloudera Chief Architect and Hadoop creator Doug Cutting says that the time has arrived for data privacy and ethics rules.
Pac-12 Networks has expanded its partnership with public cloud provider AWS as part of its ongoing mission to engage with and best serve Pac-12 fans.
While 2019 may be a tipping point year for digital transformation, there are still plenty of pitfalls you need to avoid.
Consumer products icon Kimberly-Clark's CIO launched a digital transformation at the highest strategic levels. Here's her game plan.
Low code platforms can speed up application development and increase the size of your pool of developers.
Your AI program should have short-term and long-term goals and milestones. Here's how CIOs can reset executive expectations and deliver results with their artificial intelligence programs.
You'll get more value out of your data projects and programs in 2019, according to five predictions from Forrester Research.
Whether you've had a security breach, need to provide a status update on digital transformation, or need funding for a new project, here are some dos and don'ts on how CIOs can successfully present to the organization's board of directors.
Women professionals can expect to earn just about as much as men in predictive analytics, according to the 2018 Burtchworks salary survey.
Organizations are well underway on their digital transformation projects and many are now in the process of scaling these efforts.
Blockchain, AI, facial recognition? Here are Gartner's top strategic predictions for 2019 and beyond, delivered during the Gartner Symposium/ITExpo.
Hate it when your internet goes down? Verizon's director of network performance analytics has created a system to predict equipment failures before they impact customers.
Business change is accelerating, and technology is driving the change. To succeed in this dynamic environment, CIOs must implement these five imperatives.
Consumer credit reporting company Experian's IT infrastructure and data storage is measured in petabytes, so standardizing on a technology stack has meant a lot of change and big rewards.
Two of the big three independent Hadoop distributors -- Cloudera and Hortonworks -- are merging, and the big winner may be the enterprise.
ADP has created a data benchmarking service for salary, compensation, and other HR needs.
Sewer spills are a messy, dangerous problem inherent with antiquated municipal infrastructure. Here's how IoT and analytics are helping.
Everybody talks about blockchain, but is anybody really doing it? Here's a look at five use cases across industries.
Microsoft, Adobe, and SAP will enable a common data model in a Microsoft Azure-based data lake that allows for interoperability of data among platforms from all three companies.
AI and machine learning deployments are hitting the mainstream in enterprises, but executives still hesitate to blindly accept insights from inside the "black box" without seeing the logic behind them.
While cloud spending continues to grow as a percent of the total IT budget, traditional IT still commands the majority of IT dollars.
Enterprise organizations are already seeing benefits from their machine learning practices, but Forrester Research says they've only scratched the surface.
Decision intelligence engineering applies the technology already available to solve the business problems that you have today.
Machine learning, artificial intelligence, and unified data platforms are the focus for data scientists attending the Strata Data Conference in New York.
In a tight market for AI and machine learning, tech companies have always relied on a secret weapon -- tapping into the talent available in academia. But who will train tomorrow's AI experts?
AIOps takes the vast amounts of machine data generated by IT infrastructure and ingests, monitors, and analyzes it to ultimately predict issues before they occur.
Data engineers build the infrastructure and tools that data scientists and business users need to perform analysis and create machine learning models. Maybe that's why demand is high for this emerging category of IT pro.
Experian DataLabs eight years ago pioneered the idea of an analytics and AI R&D shop inside a bigger company. Here's how it started at that credit reporting and scoring giant and what it is doing now.
There are alternatives to IaaS providers like AWS, Google, and Microsoft Azure. Here are a handful of other providers that give enterprises more choices on price, stability, and ease of use.
There's more to machine learning and AI than languages. Here's a look at five important libraries and frameworks.
Value-based healthcare is changing the business model for doctors and hospitals. Here's how analytics is helping these practices change the way they work.
IT leaders must invest in future-focused technology to drive business success, but do it all with an eye on the budget.