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How IT Success Metrics Are Changing
Keeping the lights on isn't enough anymore. In this century, the IT department's goals must align with those of the business.
The Search for a Plan to Bolster DevSecOps Against Attacks
Developers under pressure to deploy may benefit from incorporating security resources into the tools they have on hand.
Watch Out: 7 Digital Disruptions for IT Leaders
Here are seven digital disruptions that you may not see coming.
When Shorter Video Means Engaging Customers Longer
Digital video is popular, particularly for customer-facing applications. Here is what managers should consider to make video usage effective and efficient.
How CIOs Can Solve Their Crushing Talent Deficit
Rather than doubling down on recruitment advertising, here are five other ways that IT leaders can mitigate their tech talent shortage.
Equifax and FICO on Applying Machine Learning to Open Data
Credit rating organizations explore different approaches to understanding a flood of transaction information.
IT Ecosystems Have Come of Age: Has Your Organization?
To navigate the new world of IT ecosystems, forward-thinking IT leaders need to embrace organizational transformation -- and avoid making these five mistakes.
Stalled Enterprise AI Gets Unstuck from Surprising Source
Enterprises have stalled in deploying AI to production, but platform investments from commercial providers may help them wrangle their open source models.
Why Businesses Should Adopt an AI Code of Ethics -- Now
AI has been abused as part of disinformation campaigns, accused of perpetuating biases, and criticized for overstepping privacy bounds. Let's address this.
How to Keep Pace with Agile Development Trends
The Agile model and its adopters are moving forward rapidly. Here's how you can stay on top of the latest improvements.
How to Build an Optimal Machine Learning Team
An effective ML team is constantly evolving based on many different factors. Assess your specific needs and use cases before putting a team into action.
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.
Robotic Process Automation: 4 Key Considerations
Project sponsors and managers of automation initiatives should carefully consider building these elements into their projects from the outset.
Why It's Nice to Know What Can Go Wrong with AI
The mistakes and lessons learned early in the lifecycle of AI will serve all of us well in the future.
Top 5 Post-Cloud Migration Tips
If businesses are aware of the potential post-migration challenges ahead of time, they will be more prepared to take the necessary steps to prevent them.
The Hunt for the 'Goldilocks Zone' in Tech and Data Policy
During a preview of CES 2020, Gary Shapiro spoke about finding a balance between legislation and leeway for technology implementation.
Study Proposes 5 Primary Traits of Innovation Leaders
In a survey commissioned by Mastercard, Harvard Business Review drilled down on the key attributes that drive actions of innovators.
Neural Architecture Search Could Tune AI’s Algorithmic Heart
If this approach gains traction, it could have a disruptive impact on the standard practice of data science.
How to Overcome Common Setbacks in IT Automation
Don't automate for the sake of automating. Identify which tasks/processes will experience automation benefits that outweigh its upfront and recurring costs.
What Happens When You Inject Security into DevOps: DevSecOps
If you think that the security reviews that your DevOps team conducts are enough, give it another thought.
Getting to Cloud, What are the Key Factors?
Lessons learned from migrating a major bank's entire application portfolio to the cloud.
How to Fail: Digital Transformation Mistakes
Don't make these nine digital transformation mistakes that will slow down your efforts to be competitive in a new era.
Is the Computer Science Degree Dead?
Recent trends point to a decline in traditional education due to changing views and alternative education opportunities.
Q&A: IBM Cloud CTO Hillery Hunter Talks Hybrid, Multi-Cloud
Organizations may find themselves at the center of increasingly complex cloud environments stitched together from different services.
Top-Paying U.S. Cities for Data Scientists and Data Analysts
If you're a data scientist, you'll earn the most money on one of the coasts, but data analysts will do better looking for jobs in the center of the country.
Dealing with Multi-Cloud Data Complexity
IT leaders need to understand that a problem exists and then think through approaches. Once they do that, the technology to employ is easier to figure out. Here's some guidance.
How IT Supports the Data Science Operation
Data science and IT no longer are separate disciplines. Think of it as a partnership.
AI in E-Commerce: Risk or Competitive Advantage?
If AI lets you implement discriminatory pricing or restrict access to a product based on a customer's race, age or gender, should you?
10 Strategic Technology Trends for 2020
Here are the technology trends CIOs and IT leaders need to watch next year, according to Gartner.
Forrester Analyst: Next Gen of Information Fabric Is Close
It is time to stop building monolithic systems and start weaving new data fabric that can manage information dynamically, according to Forrester's Michele Goetz.
Transform IT to Become the Agile Business Partner
Top-performing IT organizations are three times more likely to have positioned themselves as "partners" with the business units that they support, according to research by The Hackett Group.
Tackling the Infosec Hiring Challenge
While there is no silver bullet for attracting and hiring great security talent, there are techniques that can dramatically increase your team's success.
Creative Ways to Get More Mileage from Your Data
Use analytics to your advantage to support your HR department, sales and marketing teams, team managers and ultimately your customers.
Attributes Employers Look for in a Coder Beyond Coding Skills
Here's a look at some of the lesser known skills that can help software developers land the job of their dreams.
IBM Pitches Watson for Enterprise AI Woes
IBM says that Watson can help enterprises struggling to get past the pilot phase with their AI programs.
NLP for Analytics: It's Not Just About Text
Text analytics has been the biggest use case for NLP, but now BI and analytics vendors are adding it to their products to make them easier to use.
Just How Hard is it to Move from One Cloud Provider to Another?
A cloud migration is easier than you might think, assuming that you gain a good understanding of your own apps and services and what each cloud provider offers.
Q&A: LightStep’s Spoonhower on Microservices, Deep Systems
As microservices, multi-cloud, and other features introduce more layers of complexity, developers may need a hand combing through the thicket of apps.
Why Design Thinking Will Save Businesses From Themselves
What you'll learn about customers by incorporating design thinking will improve operations and make your bottom line much easier to achieve.
AI Ethics: Where to Start
Your AI program needs to incorporate fairness, transparency, security, and ethics. Here are the basics.
Workplace Tech: Death by 1,000 Apps?
Investing in every shiny new tool won't necessarily make your work space more productive or give your company a competitive edge.
Your Cloud and Data Management Strategies are About to Collide
Companies are moving further into the cloud and undergoing data modernization. What some don't realize yet is that one strategy is better than two.
Beware the Pitfalls of Applying AI to Big Data
Decision makers should consider whether conclusions are influenced by shortcomings in the observable data and whether the algorithms properly address biases.
Learning to Navigate Multi-Cloud at ESCAPE/19 and ONUG
Experts at a pair of conferences in New York shared insight on how to address challenges and leverage advantages of multi-cloud.
Opening Up to Open Source
Today, open source and the enterprise are more interconnected than ever before, sharing valuable projects, time, and resources.
Achieving Techquilibrium: Get the Right Digital Balance
Reaching the right "techquilibrium" will enable enterprises to compete and lead as they work toward digital transformation, said Gartner analysts during a keynote address at Gartner Symposium
Ascent Conference Insights: Bots, Data, and SaaS Culture
Suggestions on how automation can be leveraged and ways to use SaaS more efficiently peppered conversations with Zendesk and Hugo.
IT Challenge: Pace of Change with Infrastructure
With the storm of changes hitting the IT department -- from cloud to AI and anytime/anywhere mobile access -- the real challenge is in having the IT infrastructure keep pace.
Intelligent Automation: A Step Ahead of AI
Organizations that use intelligent automation to amplify human potential will stay ahead in the game, while those that don't will lag.
Oracle’s Mark Hurd Passes Away at 62
Co-CEO dies one month after taking a leave of absence to address an undisclosed health issue.
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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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