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10 Data and Analytics Trends for 2020
Data and analytics are permeating all parts of the digital enterprise. Here are the trends you need to watch in the years ahead.
How IT Supports the Data Science Operation
Data science and IT no longer are separate disciplines. Think of it as a partnership.
Six Inevitable Technologies and the Milestones They Unlock
Grand-scale technologies act as nodes of progress that spark continued innovation. Here are several that will continue to impact society.
IT Careers: 12 Job Skills in Demand for 2020
Employers will likely be looking to fill these kinds of IT positions in the coming year, building out their teams' tech skills.
Talent Alert: Data Science Help is Coming
But will the flood of candidates solve your data problems? Here are a few issues to mull and tips on how to attract/retain data scientists in this hot market.
How to Choose the Right Analytics Skills
Just because an analyst hits the ground running does not mean that analyst has the ongoing breadth needed to solve every day analytics problems.
Lineage Metadata: The Fuel for Data Governance
The best way to achieve data quality is by combining or blending these three techniques: decoded lineage, data similarity lineage and manual lineage mapping.
IBM’s Rob High and Rumjog’s Thomas Young Talk Edge Computing
The scope of what can be done through edge computing is growing fast, but it will take more talent and new strategies to reap the benefits.
Slash Data Center Costs by Optimizing Hardware Investments
CIOs can quickly find themselves on an expensive hardware-replacement treadmill, but it doesn't have to be that way.
7 Technologies You Need to Know for Artificial Intelligence
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.
IBM Esports and Interxion Talk Lessons from Cloud Gaming Tech
Enterprises can learn from the infrastructure being built up to support the growing cloud gaming market.
Moogsoft and Cisco’s AppDynamics on How AIOps is Growing
Artificial intelligence is increasingly being put to work automating certain operations as IT systems become more complex.
Must Have IT Skills You Need to Remain Competitive
Engineers, developers, and IT managers might want to consider training on these skill sets to keep themselves invaluable to their organizations.
View from the Edge: Clear or Cloudy?
Organizations across industries are extending their infrastructures outward to enable IoT, but not all of them are able to use data as well as they'd hoped.
Architecting for Anarchy: F5's MacVittie on Network Stability
F5's principal technical evangelist discusses balancing DevOps and security to avoid chaos in the cloud and container era.
CIO Keynote: Less Jargon, More Focus on Business Outcomes
Though they came from different disciplines, CIOs at the Interop keynote shared a common need to get down to business.
How AI Influences Company Strategies and Job Development
The ongoing buzz surrounding AI and machine learning is a source of optimism, but also raises some concerns.
5 Ways Edge Tech is Transforming Travel and Transportation
If you are wondering about the role of edge technologies, consider how they help companies and individuals in the travel and transportation sectors.
Q&A: Rosalind Radcliffe, Chief Architect for DevOps at IBM
The distinguished engineer at the company, and speaker at Interop, talks about making it easier to develop on IBM Z mainframes.
AI: Focus Turns to Ethical Standards for Intelligent Systems
Should robots and other autonomous and intelligent systems be held to established ethical standards?
Topspin and Terabytes: IBM Ups Its Cloud Game at the Masters
Lessons learned from working with sports data can inform new ways of addressing enterprise DevOps, cloud, and AI needs.
Q&A: Gadi Singer on Intel’s AI Plans for Enterprise
The vice president of Intel's AI products group talks evolution and new applications for artificial intelligence.
Why AI Isn't Gaining Traction in Your Enterprise
For all the buzz about artificial intelligence and machine learning, there has been surprisingly little real progress with adoption in the enterprise.
AI is Not Magic – It’s Time to Demystify and Apply
It's time for enterprises to define their artificial intelligence strategies, and they have to consider embarking on mass experimentation to achieve success.
Enterprises are White Knights in Battle to Avoid AI Winter
It is up to enterprise organizations, not just academia, to maintain artificial intelligence's momentum when it comes to innovation and adoption.
Training AI to Save Lives
If some forms of artificial intelligence may put lives at risk, what are some of the options for safer deployment of the technology.
How Retail is Advancing AI, IoT
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.
Now That You Have IoT, How Do You Manage It?
A key to success with an IoT strategy is to keep the IT group involved in the process even at the pilot stage.
IoT: Living on the Edge
Where is your data when you need it? Edge computing offers an alternative to processing all data in the cloud or the data center.
Predictions for Artificial Intelligence in 2019
From issues such as privacy and data bias regulation to model training and self-service AI, you can expect a broad range of key advances in the artificial intelligence space.
5 Machine Learning Resolutions for 2019
More organizations are using machine learning for competitive reasons, but their results are mixed. It turns out there are better -- and worse -- ways of approaching it. If you want to improve the outcome of your efforts in 2019, consider these points.
Build Reliability into Autonomous and Intelligent Systems
When building and using autonomous and intelligent systems, it's important to know they're behaving reliably, because if things go wrong, they can do so at scale, fast.
Amazon AWS Themes: Faster, Easier, Cheaper
Customers are constantly asking Amazon to help them accomplish more in less time at lower costs. Amazon CEO Andy Jassy said the company is listening. Here's what AWS presented as proof.
Using Blockchain to Support Trustworthy Transactions on the IoT
Recent computer industry developments set the stage for demonstrations of how blockchain can help to turn Internet of Things networks into trusted environments.
Why Mixed Reality is Messed Up, for Now
Augmented reality (AR) and virtual reality (VR) were supposed to transform user experiences, but technologies have had false and soft starts in various industries. Here's why.
Tech Vendors to Watch in 2019
Our listings of the hottest vendors in cloud, DevOps, infrastructure, security, and data and analytics can help streamline your IT product selection process.
Who's Hot in Data & Analytics: Top Vendors to Watch
Organizations are using data to facilitate digital transformation, making data analytics a booming market. We highlight vendors that are addressing enterprise challenges with products for advanced analytics, machine learning, and data governance.
AI and the Death of 'Employment for Life'
When AI brings about job losses and changes our careers, remember that we've been through this before, time and again.
Modern Advances in Disaster Alert Technology
When lives are on the line information can make the difference between survival and tragedy. Here's a look at the technology organizations are using to communicate with the public and employees before, during, and after a disaster occurs.
How Edge Computing Will Change Enterprise IT
Edge computing holds promise for enterprises, particularly in supporting their IoT implementations. However, edge also raises some security concerns.
Building a Smart City Doesn’t Have a Common Blueprint
While there is no exact definition of what a smart city must offer its citizens, there is also no shortage of "smart" initiatives.
Meet the Automation Architect
There might be plenty of career opportunities for those who can bridge technology, people and processes.
10 Roadblocks to Becoming a Data-Driven Enterprise
Nearly 100% of enterprises want to become more data-driven, but less than a third have accomplished that goal. A new survey sheds light on the reasons why.
Is Digital Reality Ready for the Enterprise?
As virtual, augmented, and mixed reality technologies get ready for the enterprise, the enterprise has to get ready for digital reality.
Eliminating Performance Bottlenecks on Web-Based AI
The end-to-end cloud ecosystem must mature rapidly to support enterprise deployment of AI and machine learning applications.
Make Shadow IT a Force for Good
Turn shadow IT into a positive instead of a negative by adopting these five strategies.
Real-World Tools to Help Navigate a Data-Driven World
When one cute little source for data gets you thinking about the world of really big data.
Novartis Seeks Hidden Cures in Machine Learning, AI
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.
Traditional ERP Falls into the Arms of Cloud
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.
Why Quantum Computing Should Be on Your Radar Now
Boston Consulting Group and Forrester are advising clients to get smart about quantum computing and start experimenting now so they can separate hype from reality.
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State of the Cloud
Cloud has drastically changed how IT organizations consume and deploy services in the digital age. This research report will delve into public, private and hybrid cloud adoption trends, with a special focus on infrastructure as a service and its role in the enterprise. Find out the challenges organizations are experiencing, and the technologies and strategies they are using to manage and mitigate those challenges today.
Getting Started With Emerging TechnologiesLooking to help your enterprise IT team ease the stress of putting new/emerging technologies such as AI, machine learning and IoT to work for their organizations? There are a few ways to get off on the right foot. In this report we share some expert advice on how to approach some of these seemingly daunting tech challenges.
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