Profile of Jessica Davis
Senior Editor, Enterprise Apps
Member Since: 9/16/2015
Author
News & Commentary Posts: 526
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
1/21/2020
The Pennsylvania Turnpike may be 80 years old, but its GeoAnalytics program is leveraging geographic information to drive the future.
1/15/2020
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.
1/13/2020
Low-code platform vendor Appian is looking to provide a single platform for automation, AI and low code with a new RPA acquisition.
1/8/2020
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.
12/31/2019
As more IT spending goes to cloud providers, IT organizations are seeing their influence and control shift.
12/30/2019
After a year of consolidation and post-hype AI deployment disappointment, here's what we can expect for 2020 and beyond.
12/20/2019
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.
12/18/2019
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.
12/16/2019
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.
12/12/2019
Who should you ask for advice about getting a salary increase? Probably not your parents.
12/10/2019
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.
12/5/2019
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.
11/18/2019
Here are seven digital disruptions that you may not see coming.
11/14/2019
Enterprises have stalled in deploying AI to production, but platform investments from commercial providers may help them wrangle their open source models.
11/12/2019
Data and analytics are permeating all parts of the digital enterprise. Here are the trends you need to watch in the years ahead.
11/6/2019
Don't make these nine digital transformation mistakes that will slow down your efforts to be competitive in a new era.
11/1/2019
Here are the technology trends CIOs and IT leaders need to watch next year, according to Gartner.
10/29/2019
IBM says that Watson can help enterprises struggling to get past the pilot phase with their AI programs.
10/25/2019
Your AI program needs to incorporate fairness, transparency, security, and ethics. Here are the basics.
10/22/2019
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.
10/17/2019
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.
10/16/2019
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.
10/10/2019
Last year if you had a tech problem, blockchain was the answer. Now blockchain has reached the "trough of disillusionment," according to Gartner.
10/8/2019
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.
10/3/2019
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.
10/2/2019
Getting machine learning from the pilot into production is a hot issue in 2019. MLOps is one of the ways enterprises are doing it.
9/30/2019
So you've succeeded with your automation and AI pilot project. Now how do you get to scale?
9/26/2019
You may not hear a lot of enterprise executives talking about it, but open source software is becoming a mainstay in big organizations.
9/19/2019
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.
9/17/2019
To make the most of going digital, organizations must transform legacy operations and invest in new digital business, according to consulting firm McKinsey.
9/13/2019
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.
9/11/2019
A new KPMG report provides an inside view into how big companies are investing in and deploying artificial intelligence and machine learning technology.
9/9/2019
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.
9/3/2019
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.
8/27/2019
Machine learning in pilot and production is growing in many industries, and finance is no exception, but there are concerns.
8/22/2019
In business for just 6 years, newcomer Flexport is disrupting the freight forwarding and import/export global shipping logistics arena with data and analytics.
8/20/2019
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.
8/12/2019
More enterprises are putting their data operations in the cloud, a trend that will continue as AI, machine learning, and other analytics efforts accelerate.
8/8/2019
HPE will expand its data and analytics portfolio through its acquisition of embattled Hadoop pioneer MapR.
8/5/2019
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.
7/30/2019
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.
7/29/2019
RPA is the fastest growing category of software today, driven by enterprise digital transformation efforts. Here's how to make the most of it.
7/22/2019
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.
7/12/2019
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.
7/11/2019
IBM is creating a richer technology stack to help customers ascend the ‘AI Ladder,' gaining the foundation for an artificial intelligence practice.
7/9/2019
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.
7/5/2019
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.
7/1/2019
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.
6/27/2019
Quantitative executive recruitment firm Burtch Works annual salary survey revealed changes in the job market for data scientists and predictive analytics pros.
6/26/2019
Machine learning upstart DataRobot, which pioneered the AutoML category, acquired ParallelM to help organizations move their models into production.
6/20/2019
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.
6/13/2019
Salesforce buys Tableau, and Google buys Looker, kicking off a new wave of consolidation in the analytics and BI space.
6/12/2019
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.
6/6/2019
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.
6/4/2019
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.
5/30/2019
Automation and AI will replace some job tasks today, and the workforce and demand for skills will evolve for a new future.
5/23/2019
Learn how IT Leaders from Eversource Energy, Intel and Accenture Technology are looking at digital innovation – today and tomorrow.
5/21/2019
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.
5/16/2019
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.
5/13/2019
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.
5/9/2019
Implementing industrial IoT means adding new types of data and gaining a host of new and unexpected insights.
5/2/2019
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.
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.
3/29/2019
Can data and analytics save the world? Here are several use cases of people and companies targeting real problems.
3/26/2019
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.
3/22/2019
Here's a look at seven emerging technologies that will disrupt your business, marketplace, and culture.
3/19/2019
Analytics, and AI offer great potential, but concerns over privacy, AI replacing humans, and negative consequences have cast a pall. Now, lead with purpose.
3/19/2019
Do your executives and business contributors understand AI? If not, they probably will soon.
3/18/2019
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.
3/11/2019
CIOs have made headway towards a more strategic position in the organization, but challenges remain on the road to digital.
3/6/2019
Technology has become a strategic asset in business. Here's how to get your board to focus on technology's value.
3/5/2019
Adding external data to your analytics or machine learning efforts can increase the value of your insights.
3/1/2019
With diverse brands such as business card site VistaPrint and fashion apparel and accessories customization studio Vida, Cimpress has a formula for efficiency.
2/26/2019
Robotic process automation software is growing fast in enterprises. Here's why it can be an attractive option for businesses racing into digital transformation.
2/22/2019
NewYork-Presbyterian Hospital recognized that the same kind of machine learning concepts used for cybersecurity could be used to fight the opioid crisis.
2/15/2019
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.
2/15/2019
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.
2/12/2019
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.
2/11/2019
AI facial recognition algorithms are far from perfect. Here's what you should know if your enterprise is considering deploying this technology.
2/6/2019
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.
2/4/2019
How a service provider to insurance companies modernized its data infrastructure to create products for the modern age.
1/30/2019
CIOs and IT organizations will take a more central role in all of business in a few years. Here's what you can expect.
1/28/2019
Google's appeal of its GDPR fine over data privacy and transparency just may illuminate the best way forward for enterprise IT.
1/23/2019
Executives and entrepreneurs offer advice about finding mentors, creating mentor programs, and giving back.
1/18/2019
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.
1/16/2019
Take a look at the forces shaping the job market for data scientists and AI experts, according to a leading quantitative executive recruitment specialist.
1/15/2019
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.
1/11/2019
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.
1/9/2019
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.
1/7/2019
What are some of the big data-oriented trends for enterprise programs and culture in 2019? Here's a look.
1/3/2019
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.
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