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SAP Gets New Leadership for Cloud, AI Era
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.
SAS Targets Operationalizing AI with ModelOps
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.
Settling the Soft Skills vs. Technical Skills Debate
For full-time employees, put more weight on the soft skills. For contractors who don't make the technical cut, don't put your money down on them.
Enterprise Guide to Edge Computing
Here's a collection of information to help IT leaders and professionals learn more about edge computing and use cases for their enterprise organizations.
Cyber Judgment: A New Path Forward for Decision Makers
Information security staff cannot be everywhere decisions are made, and not every risk decision can be automated.
Communications Glut and Isolation Stymie Remote Workers
How can remote office workers -- and their employers -- deal with tech proliferation and the continued sense of isolation that can sap productivity?
Why You Should Cultivate Gender Diversity in IT Leadership
It's time to rethink our corporate environments by recognizing the unique experiences, skill sets and strengths that come from diversity in teams and leadership.
How to Secure Data Privacy While Growing Machine Learning
There are ways to increase user privacy while still preserving the accuracy of machine learning systems. Here are three practical options for CIOs.
Go Beyond the Capabilities of the Cloud
Here are some highlights from last month's Oracle OpenWorld 2019.
Blockchain Loses Its Luster, for Now
Last year if you had a tech problem, blockchain was the answer. Now blockchain has reached the "trough of disillusionment," according to Gartner.
Tech Nation Report: Robust Online Collaboration in DevOps
Cross-national perspectives on scaling up companies, hiring talent, and collaboration marked the release of a report on British tech.
MSP Consolidation Crunch: What it Means to Your IT Team
With a wave of acquisitions going on across the managed service provider market, enterprise IT leaders have to rethink where they get their own services.
Why Scaling DevOps Is a People Problem
You can have the latest and greatest automation toolset, but without people transformation, DevOps at scale will remain a mirage for many.
2020 IT Budgets Are Up, But ...
A Spiceworks report highlights the where's and why's of 2020 IT budget plans.
AI, Automation Drive Progress in Government Data Centers
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.
AI Keeps Buggy Code From Crashing The Cloud
AI-based test automation will be a key feature of DevOps in enterprise multi-cloud environments in the 2020s.
Breaking Silos and Curating Data for Impactful AI
AI requires both high-quality data and an infrastructure that ensures data is always available. Without that foundation, we'll never reach the future.
What Financial Firms Want in Cloud Adoption Strategies
Lead technologists from three financial institutions shared their infrastructure transformation needs at New York Enterprise Tech Meetup.
Changing Mindsets on IT Automation
Enterprises are not fully on board yet and in some cases stuck in manual mode. Here are four key areas to consider to get on the road to automation.
Rethinking IT: Tech Investments that Drive Business Growth
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.
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.
A Path from Pilot to Machine Learning Production
Getting machine learning from the pilot into production is a hot issue in 2019. MLOps is one of the ways enterprises are doing it.
5 Ways CIOs Can Better Compete to Recruit Top Tech Talent
A CIO shares lessons he's learned about finding and securing the best job candidates for IT teams.
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.
Top U.S. Businesses Call for More Government Regulation
So, what's the catch? There's a very real possibility that most states will develop their own data privacy laws, causing chaos that will benefit no one.
Takeaway from MLOps NYC: Open Source Frameworks Need TLC
The growing open source options to manage and develop machine learning applications still require customization and care before enterprises dive in.
Getting from AI Pilot to Scale
So you've succeeded with your automation and AI pilot project. Now how do you get to scale?
Navigating the Skills Gap in the Hybrid Cloud Era
IT leaders who will survive in the hybrid multi-cloud world are fostering the skills they already have in-house, while embracing some shifts toward new ideas.
Enterprise Guide to Multi-Cloud Adoption
Here's a collection of information to help IT leaders and professionals learn more about multi-cloud adoption for their enterprise organizations.
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.
Q&A: New Relic CEO Lew Cirne on Observability in Development
More tools to better understand how apps are interconnected could save time on repairs and chasing security alerts.
Open Source Gains Ground in the Enterprise
You may not hear a lot of enterprise executives talking about it, but open source software is becoming a mainstay in big organizations.
Human Touch Needed to Balance Prospects and Fears of AI
Events held at Microsoft and Samsung in New York highlight the need for data scientists to maintain humanity in AI development.
Rethink Time and Data in Your Organization
Time series is a standard analysis, but advanced machine learning tools introduce statistical techniques for more accurate forecast models.
How to Effectively Vet for True AI in the Era of AI Washing
All AI is machine learning, but not all machine learning is AI. Make sure you know the difference before investing.
How CIOs Can Help Their Workforce Thrive
IT leaders must remember that in our ever-changing world, keeping employee skills sharp and ensuring they have the resources they need to stay current is key.
How the Chief Data Officer Role is Evolving
The CDO role continues to change with competitive pressures. Where are you on your journey and what do you need to do to get to the next level?
Q&A: Google Cloud's Lin Talks Next Phase of Anthos
Google offers a look at some additional features being introduced to Anthos and where it fits in cloud transformation.
How a Digital Talent Strategy Ensures Tech Staffing Success
Are you looking at the big picture? Today's enterprise organizations must align their digital talent strategy through a lens of recruitment and retention.
Oracle Touts Autonomous Cloud for Data Security
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.
Have Just a Bit of Patience with 'Transformation'
Digital transformation, cloud adoption and AI seem to be taking longer than people expected. Why is that a surprise?
Complexity: Cloud Computing’s Achilles Heel
While there are no easy answers or magical tools to address the complexity issues, some fundamental architectural planning can be done.
Make Artificial Intelligence Work for Your Business Needs
AI software is everywhere, yet only a handful of offerings target specific demands. How can enterprises customize generic AI tools to meet their unique needs?
CIOs: Here’s How Google is Approaching AI
A team of experts learned from their application of AI across a variety of real-world projects. Here are six steps they recommend for CIOs engaging with AI.
Doing Digital Transformation Right
To make the most of going digital, organizations must transform legacy operations and invest in new digital business, according to consulting firm McKinsey.
How Autonomous Systems are Impacting IT
Automation isn't new to IT, but autonomous systems are, which is why IT leaders and professionals have to think about the value they're delivering, again.
Cloudera Sets Agenda for Next Era Cloud Data Analytics
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.
How to Create a Performance-Focused Culture
Instilling a culture of performance is really all about serving your customers. In most cases, what they want is speed above all else.
Rewriting Disaster Recovery Plans for the Edge
In an era when systems and applications are dispersed throughout the enterprise and the cloud, IT leaders have to rethink their disaster recovery plans.
How Data Scientists Can Tear Down Fears of Innovation
AI and other fresh ideas can put organizations on the path to transformation, but their champions may face systemic pushback from entrenched team members.
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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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