Profile of Jessica Davis Senior Editor, Enterprise Apps
Member Since: 9/16/2015
News & Commentary Posts: 380
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
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.
Top quantitative executive recruiter Linda Burtch of Burtchworks provides insight into how to keep yourself competitive in data science, business intelligence, and other analytics-related careers. Here's how to get ready for a future of new technology, including AI, natural language processing, and IoT.
If you are like most organizations, your analytics program is not ready for advanced analytics technologies such as machine learning. Here are a few steps to take to get you closer, or a way you can leapfrog the work to reap the benefits now.
Companies are headed into the final stretch to get ready for GDPR compliance before the May 2018 deadline. Whether your compliance plan is already in the works or if you are just getting started, here's some advice about setting priorities.
Retailers may be looking to invest their technology budgets in customer-facing store systems. But another IoT investment could yield greater cost savings and customer satisfaction as a retailer's first foray into IoT.
Longtime tech industry pundit Tim O'Reilly sat down with InformationWeek to talk about the future of business, society, and the enterprise. Here's what he says enterprises must do to compete in a changing business environment.
From Alpha Go to cancer detection to data center efficiency, we talk to analytics practitioner and SAS CTO Oliver Schabenberger about what AI can do and what it can't do. Here's what he said.
Three industry leaders took the stage at SAS Analytics Experience and provided broad perspectives on how far we've come in analytics over the last 10 years and where we are today.
Analytics thought leader Tom Davenport revisits Competing on Analytics, 10 years after his book on the topic was originally published. We ask him what has changed in that time during this interview.
As Florida awaits Hurricane Irma's landfall, we look at how improvements in today's weather predictions rely on real-time big data and technologies like machine learning.
Digital native companies like Dollar Shave Club were built on analytics. To compete, traditional consumer goods companies need to use analytics to get closer to their customers.
Citizen scientists are collecting data from the eclipse as part of a NASA-sponsored project. Here's how you can participate.
In its 31-year history, home shopping TV channel QVC has always faced the limitations of time -- just 168 hours a week to sell its products. Here's how real-time data feeds have changed the company's marketing efforts.
Field workers often create Excel spreadsheets to track data and run their processes. But what happens when there are dozens of these? Here's how Carlsberg Danmark centralized business process management, created an orderly system with consistent data, and saved hundreds of hours in backoffice time.
AI, machine learning, natural language processing, and other advanced analytics technologies make up the leading-edge of how organizations are gaining value from big data. Here's a collection of some of the most influential and rising stars on Twitter when it comes to AI and machine learning.
I got bumped from my flight a few months after Dr. David Dao was dragged off an overbooked aircraft. Do algorithms help or hurt the typical air traveler?
Are automation and artificial intelligence coming for your job? How can you prepare your professional skills FOR the coming AI revolution?
GDPR enforcement begins in May 2018, and now is the time to ensure your company isn't hit with fines that can be up TO 4% of revenue. ADP's Chief Privacy Officer provided two tips on where to get started with your GDPR compliance plan.
The Electronic Frontier Foundation has launched a new project to document progress and projects for AI and machine learning. The organization is asking AI and ML practitioners to contribute.
Does your enterprise operate a leading data analytics practice, or is your practice more ad hoc? AllAnalytics presented survey results and got input from AllAnalytics bloggers Meta Brown and Pierre DeBois during a panel session at Interop ITX.
In healthcare, machine learning may yield fast, accurate insights. But humans are still better able to detect ridiculous anomalies and discover problems that machines have not yet learned to detect.
The Gartner Digital Marketing Conference is tackling marketers' challenges this week, such as multichannel strategies. Author Josh Linkner is delivering a keynote address about how to hack your approach to business success so you can disrupt markets rather than be disrupted.
Healthcare analytics has improved patient care and outcomes, and advanced our understanding and treatment of some of the trickiest diseases and conditions. If only we could get a handle on our medical bills.
Looking to solve your data & analytics challenges? Our Interop ITX experts have the answers. Here are some of the take-aways you can expect by attending these sessions.
IoT security is essential for the Internet of Things to reach commercial success. Here's one way to protect this technology and data from hackers.
You've invested in your analytics program, but where's the return? Here's how to make this investment of time and money pay for itself.
It may be impossible to predict the perfect bracket, but these academics have managed to predict perfectly the "at large" bids that were included in the March Madness NCAA college basketball tournament this year and with 96% accuracy over the last 6 years.
Strata + Hadoop World 2017 welcomes big data analytics enthusiasts from around the world this week and features keynotes about AI, machine learning, and emerging technologies FOR business.
Learn about how real-world enterprise organizations are advancing projects in AI, machine learning, virtual reality, and more, to add value for consumers and drive revenues.
Consumer connected devices may get the big headlines, but business and industrial Internet of Things or IoT has gained momentum. A driving force behind its adoption is edge analytics.
You may have been successful with a center of excellence for your business intelligence or analytics practice. But big data success requires a different approach, a bus.
If data is important to your company, then creating a data governance program is as essential to the business as an accounting program.
Career prospects are hot for both data analytics pros and cyber security specialists. Now CompTIA IS introducing a certification that combines these specialities to apply analytics to cyber security.
The Internet of Things (IoT) offers a host of conveniences and automation to both business and consumers. But new privacy and compliance responsibilities are part of this package deal. Here's how to make the most of it.
Healthcare organizations have already provided some of the most interesting and promising applications of advanced analytics use cases. The HIMSS 2017 event next week in Orlando will provide a window into what's next.
If your data quality is suspect, your analytics program may also be doomed. Here's a look at today's data quality challenges and how to tackle them.
In conjunction with Internet Safety Day, the Wikimedia Foundation has released two new public data sets of online harassment in Wikipedia edits. The Foundation leveraged machine learning to detect harassment.
Analytics are strategic, can create value, and should be earmarked for increased investment. Now is not the time for cuts.
Target hired Tesco veteran Mike McNamara 18 months ago as CIO and Chief Digital Officer to transform the company's IT and software development organization. Here's what he did.