Profile of Jessica Davis Senior Editor, Enterprise Apps
Member Since: 9/16/2015
News & Commentary Posts: 418
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
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.
Equinix, the data center giant, is exploring artificial intelligence to help improve customer experience. Here's what CIO Milind Wagle said about the plan.
Chances are your AI pilot project won't make it to production deployment. How come?
Researchers are using machine learning to get a clearer picture of shark behavior, and work to help those sharks to survive.
Enterprises are piloting or planning for AI implementations, and use cases vary depending on industry. How does your company stack up?
Can you remember where to go to fill out your performance review? Your expense report? Complete your GDPR training? Why not let AI guide you through these administrative tasks.
Does your company's most recent software development project make you feel uncomfortable? The ACM is helping technology workers and leaders navigate tricky ethics questions.
Python is gaining on R and SAS as the language of choice among data scientists and analytics pros, according to a new survey from recruitment firm Burtch Works.
Unable to find the perfect candidate for data science job openings, companies are leaving full-time employee positions unfilled for months, bridging the gap with contractors.
Looking to make the move into one of the hottest jobs in technology today? Machine learning specialists are in high demand. Here are 5 of the top languages you may need in these careers.
The IT team at this provider of chassis for metal shipping containers has transformed its data infrastructure from spreadsheets and reports to a Hadoop data lake and dashboards.
Novartis' Global Drug Development has completed the first phase of a digital transformation that has enabled it to better leverage one of its best assets -- data.
The distributed ledger technology called blockchain is getting a lot of attention right now. Is it the right solution for your IT project?
A new report from Village Capital highlights the opportunities for startups to contribute to a positive future for workers in a world re-shaped by the input of artificial intelligence and automation.
What factors motivate data scientists and other data analytics professionals to take new jobs? A new survey looks at factors including salary, opportunities to learn, challenging work, and benefits.
Your business's unique data may be your enterprise's greatest asset. Should you share it with partners and vendors, or should you keep it proprietary?
Aimee Lessard didn't start off as a high-ranking analyst with the intelligence community and data analytics private sector companies. She learned on the job. Here are some of her recommendations for how to get started with analytics, machine learning and AI.
A lawsuit filed by Teradata alleges that SAP lured the company into a joint venture to develop a bridge database for analytics. Soon after it was created and proven in a customer site, SAP pulled the plug. But a few days later it introduced HANA, which did the same thing.
More enterprise application and big data vendors are pursuing a cloud-agnostic strategy -- supporting AWS, Microsoft Azure, and Google Cloud. Big data platform provider Hortonworks is taking that strategy one step farther.
Dun & Bradstreet is transforming its own internal AI and analytics operations, even as it helps customers with their analytics and machine learning transformations.
You don't need a degree in data science to become a top professional in the field. Here's how one Kaggle data science champion taught himself. Now Gilberto Titericz is moving from Airbnb to AI startup Ople.
In the future every company will become a software company, building their own applications backed by advanced analytics, and delivered as software as a service. For some companies, the future is arriving now.
Demand for machine learning professionals is growing faster than for any other job. If you are looking to gain the skills needed for that next stage in your career, check out our short list of free online machine learning courses.
SAP and Oracle have been talking about the cloud for years, but it's no small task to move huge installed bases of on-premises software. New cloud moves show a new momentum.
Overstock is one of the granddaddies of Internet commerce with 20 years worth of customer data to support its marketing analytics. Here's how it increased the speed of models and analysis by 5x.
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.
Experts agree that artificial intelligence and automation will impact jobs -- eliminating many and creating some, too. Here's what a group of experts had to say during a Congressional hearing about just how AI will impact tomorrow's workforce.
IT organizations are focused on the cloud right now with automation and big data analytics also ranking pretty high on their to-do lists. AI, machine learning, and blockchain are down very low on the list of priorities.
Looking to learn from other people's experience and mistakes to leapfrog ahead in your career? We asked top leadership experts for their wisdom. Here's what they said.
How can you apply machine learning and AI to predict the success of a new idea? Will that old data you have work? Here's a different approach.
Data provider Dun & Bradstreet has been providing information to subscribers and customers for 177 years. Now it is exploring Blockchain and machine learning to improve its offerings.
McKinsey Global Institute examined hundreds of artificial intelligence use case to figure out the ones that yielded the highest value for organizations. That big-picture vantage point yield one surprising and boring truth about the value of AI.
Nervous about your privacy online? We've asked data and analytics experts how they protect their own privacy. Here's what they said.
IoT analytics will go from experimental to mainstream in 2018, and a few new vendors are getting into the game. Here's why it makes sense now.
AI may not be widespread in many enterprises yet, but a new survey shows some organizations say that they are already planning deep learning projects.
CIOs want to invest in AI projects, but some just aren't ready to build it out themselves. So Oracle and SAP are both offering AI technologies to enterprise customers to get them started.
Data management cloud and enterprise software vendor Informatica has seen a surge in interest for data catalog as organizations grapple with the looming GDPR deadline and data privacy issues. Here's what else the company's CEO sees as big trends in data for 2018.
Southwest Airlines operates a fleet of 700 aircraft flying 4,000 flights a day. Here's how it uses analytics to manage all the complexity that comes with that.
Nissan NA was about to launch a new data visualization platform across the enterprise and wanted to encourage self-service analytics. Here's how it got users to get in and drive.
You've spent your career learning about IT -- network troubleshooting, programming languages, and data management. But now they want you to manage a team of people. Here are a few tips to get you started on your new journey.
Your competitor has a shiny new AI-driven chatbot, so shouldn't you be developing one, too? Not necessarily. Here's why these customer-facing bots may not be the best first project for your AI program, and what you should choose instead.
Big data is past the hype stage, but are organizations really past the challenges and getting the most value out of big data technologies? Not so much. Here's a look at the state of big data maturity and the challenges that remain.
Facebook has lost billions in market value, been targeted for investigation by 37 states and the FTC, and many users are threatening to delete their accounts. It's past time for enterprise CIOs to stop ignoring customer data privacy concerns.
Enterprises are embracing artificial intelligence and it's component technologies -- machine learning, natural language processing/text analytics, and computer vision. But are they ready? Here's how AI-as-a-service may ease their entry into these new technologies.
Watson Assistant will be delivered via IBM partner devices such as electronics embedded in cars and apps branded by hotel companies. Beyond customer engagement and service, the real value to these partners will be in the data they collect about customers and how they use it to customize customer experience.
Accenture CIO Andrew Wilson is 2 years into a 3-year journey to put 90% of the company's IT infrastructure into the cloud. Here's how that cloud commitment helped accelerate a recent IT project.
Is your organization in production with real-time analytics and event stream processing? Are you doing a pilot of the technology? Here's a look at where the technology is today, along with some of the more popular use cases.
Top analytics and business intelligence platforms have been making it easier for end users to get self-service insights. The next step in their evolution is augmented analytics, according to market research firm Gartner.
There are plenty of success stories about Hadoop in the enterprise, but those may be the exception and not the rule. Gartner Research VP Merv Adrian provides a reality check on deployment rates, successes, and failures of big data technologies in the enterprise.
How can you get to continuous delivery when your Dev team and Ops team seem to be working at cross purposes? Learn how to build a harmonious, collaborative DevOps team instead.
Want to recruit the best talent to your team, or the best talent that is willing to relocate? Expert John O'Duinn says you can upgrade your team by opening the door to remote workers, and he offers best practices on how to work with distributed teams.
If your enterprise wants to spread self-service analytics throughout the organization, buying the platform or tool is just the first step. It's just as important to get people to actually use it. Here's how some successful companies are doing it.
How will enterprise organizations scale Agile data and analytics programs in the future? Gartner says trust, diversity, and data literacy all will contribute to mastering tomorrow's complexity.
You, and everybody you know, is biased, and it impacts the decisions you make. We spoke with an unconscious bias expert about how you can break free and make better decisions, for yourself and for your company.
Content discovery platform Outbrain launched its first Hadoop pilot about 5 years ago, on the free version of the technology, giving it the flexibility to experiment. But the company recently made some changes to update its big data program.
Whether you are a CIO, IT manager, or an IT pro, today's dynamic workplace presents new issues and challenges. Here are some of the highlights of the upcoming Interop ITX Leadership and Professional Development Track, to help you succeed.
Data quality, data privacy, and advanced technologies such as AI, machine learning, neural networks, and more, are of top concern to data analytics pros and IT managers, says Karen López, Data & Analytics Track Chair for Interop ITX 2018.
The Accenture Vision 2018 report has identified five trends for CIOs and other executives for the year ahead, including citizen AI, extended reality, and data veracity.
Ebates, the business that provides discounts and incentives to customers of online retailers, needed to move from its SQL server to a system with more processing capacity. The Hadoop cluster it chose fit the bill and provided some unexpected benefits.
CEOs are investing more in advanced technologies such as AI, but they aren't planning to invest in retraining their workforces for this technology. A new report from Accenture recommends taking a different approach.