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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.
Where Are Privacy Boundaries in an Age of Government Interception?
A new encryption-focused law in Australia highlights the need for all parties to come together to identify a solution that protects privacy, e-commerce, and people and institutions.
Can a Hybrid Cloud Strategy Boost IT Transformation Adoption?
Breaking out of old perceptions about the role of IT departments be the key to being part of companies' overall digital transformation strategies.
Predictions: 2019 Data Science Jobs Market
Take a look at the forces shaping the job market for data scientists and AI experts, according to a leading quantitative executive recruitment specialist.
10 Career Moves You Can Make in 2019
IT unemployment is very low, but that doesn't mean you should let your skills stagnate.
Voice Assistants Coming to the Enterprise
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.
A Delicate Balancing Act: Business Needs vs IT Priorities
IT can't be the "bureau of NO" but has to be a partner with the business units.
DevOps: Big Effort, Big Benefits
Authors of the book Driving IT Innovation advise companies to act now, and not to stand by and wait for DevOps to be a fully mature IT concept.
What CES Announcements Mean for Enterprise IT
CES exhibitors continue their tradition of zany tech announcements, almost all of which are cool. However, some of the innovations signal trends IT should consider.
Expert Predictions on SaaS Use in 2019
Analysts and solution provide expect new approaches to how enterprises and users utilize SaaS.
Data Privacy: How to be Worthy of Consumer Trust
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.
Envision the Vice President of Workplace Productivity
It's time for organizations to consider a new executive role, one that helps to ensure that the right technologies and non-tech initiatives improve productivity.
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.
Retailers Catch Up with Technology Investments
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.
IT Reskilling More Important Than Ever
Luckily, more options exist to help both companies and their individual employees get up to speed on new IT skills quickly.
Most CEOs Don’t Know Where to Deploy AI Within their Business
Think through your customer and supplier relationships, as well as your operational efficiency to identify the best areas for artificial intelligence.
The Open Office is Dead. Now What?
After years of experimenting with open office layouts, the search for places where developers can work both uniquely and collaboratively continues.
What Enterprises Need to Make the Leap to Blockchain
Learn how to avoid the security and scalability concerns that come with blockchain.
5 Data and AI Trends for 2019
What are some of the big data-oriented trends for enterprise programs and culture in 2019? Here's a look.
What Enterprises Have to Learn About Emerging Tech, Again
Enterprises often make the same mistakes when adopting technology, generation after generation. A PwC tech leader outlines seven considerations to keep in mind.
5G: The Next Retail Disrupter is on the Horizon
5G won't just be an improvement over 4G. It will be an entirely new form of connectivity. But will retailers be ready?
Act Now to Reap Automation Benefits Later
Forward-thinking enterprises are delivering business and infrastructure optimization with intelligent automation and looking now to business transformation.
AI in Production: A Roadmap for Success
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.
What Do Tech's Most Powerful Women Have in Common?
When the IBM Watson Personality API analyzed these female tech leader's words, it identified nine traits as being most dominant.
The Secret to Digital Transformation Success
New technologies promise business results, but rollouts can be risky. Here's how CIOs can reduce adoption risk, close skill gaps and keep teams happy.
Cloud Trends: Look Behind the Numbers
For all the market research numbers floating around about cloud computing, what is missing is advice on what IT organizations should be doing with IaaS, SaaS, and other cloud concepts.
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.
Data Governance in the Age of Exponential Technology
The emerging data-hungry and data-generating technologies demand two types of data governance: security, and the need for holistic, enterprise-wide governance, rather than governance on a silo-by-silo basis.
How to Transition to DevOps in Less Than 30 Days
It doesn't take long to lay the foundation for an agile enterprise. Get the initiative going and sort out the bumps along the way.
6 Top Emerging Technology Jobs for 2019
Get your career ready for the future. These 6 top emerging technology jobs are ready for big growth in 2019.
AI Surveillance Is Coming: How will it Change Your Workplace?
There isn't much you can do to stop AI surveillance's encroachment on your life, but you can equip yourself with better understanding and more appropriate skills and behaviors.
A Roadmap for Becoming a Customer-Centric CIO
The CIO's role isn't just about technology enablement these days; it's customer-facing, and it requires leadership, innovation, and strategic use of data.
8 AI Highlights of 2018: Jobs, Research, Skills, Events, More
Things happen fast in artificial intelligence and machine learning. Here are some of the highlights of 2018.
After 60 Years, IT’s Time for a Name Change
After 60 years, it's time to reexamine how we label and think about information technology, and to give the profession a fresh start.
Planning for RPA? Read This First
Understand how three key elements are crucial to the success of an automation project.
Defining the Right Business KPIs
Organizations continue to become more metrics-driven, but when business outcomes don't turn out as expected, the lament is sometimes "we were measuring the wrong things." If you want to measure the right things, consider these tips from Gartner's Doug Laney.
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.
Debunking Three Common Cloud Misconceptions
Combatting the misconceptions surrounding cloud computing requires continuous exploration of new opportunities emerging today because of ongoing cloud technology innovations.
AWS: Not Just Up in the Cloud Any More
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.
Is Machine Vision the End of Traditional Marketing?
Machine vision will endow computers with the capacity to understand images in a human-like way. This will bring significant changes to advertising.
Avoid Automation Failure: Invest in Your Workforce
With a wave of intelligent automation on the horizon, now is the time for enterprises to invest in the talent they need to build a workforce for the future.
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.
Top 5 Principles in Becoming ‘Agile’ During Digital Transformation
Organizations embarking on a digital transformation utilizing Agile concepts should give close consideration to these principles and the accompanying Do's and Don'ts.
The New Job Description for Data Scientists
As new tools help to automate data collection and cleaning, the role of data scientists is evolving into one where they deliver more value to their organizations.
Top 10 Tech Predictions for 2019
Leading consultancies and analyst firms offer their predictions on how key technologies, such as cloud computing, AI, IoT, and robotics will shape up in 2019.
Capital One CIO: We're a Software Company
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.
How Employers and Employees Can Adapt to an Automated Workforce
As companies increasingly bring automation to the supply chain, it's important for employers and employees to work together to make their workplace safer, more efficient, and more beneficial to humans than ever before.
What Tech Mega Hubs Will Do to East Coast Cities
East Coast expansions by Amazon and Google bring promises of jobs, but also the possibility of housing and transportation crunches, and increased competition for tech talent.
Operate Like a Startup at Any Size
A technology CEO shares his thoughts on what to consider when you are building an internal innovation hub.
Cloud Computing 2019: The Cloud Comes of Age
A Forrester study predicts that enterprises must respond nimbly to address changing cloud markets and technologies.
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2018 State of the Cloud
Cloud adoption is growing, but how are organizations taking advantage of it? Interop ITX and InformationWeek surveyed technology decision-makers to find out, read this report to discover what they had to say!
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