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AI Liability Risks to Consider
Sooner or later, AI may do something unexpected. If it does, blaming the algorithm won't help.
SAS Founders Call Off Sales Talks with Broadcom
Longtime analytics giant SAS briefly entertained the idea of being acquired by semiconductor giant Broadcom. Now that the talks are off, what's next for the 45-year-old enterprise stalwart?
How IT Leaders Can Adopt an Automation Mindset
Too often, IT pros focus on one-off problems instead of leveraging automation to drive long-term innovation. Instead, IT leaders should adopt the big-picture mindset of a Formula 1 champion.
Why You Need a Data Fabric, Not Just IT Architecture
Data fabrics offer an opportunity to track, monitor and utilize data, while IT architectures track, monitor and maintain IT assets. Both are needed for a long-term digitalization strategy.
Preparing for the Upcoming Quantum Computing Revolution
Quantum computing promises to radically transform IT operations and services. How will your organization manage the change?
AT&T Communications CTO Legg on Transforming a Telecom Giant
Nearly one year after taking on his current post, Jeremy Legg talks about leveraging the cloud and transformation at the mobile and broadband company.
How to Take AIOps from a Promising Concept to a Practical Reality
Network and infrastructure management has always been complicated. AIOps promises to simplify things.
11 Ways to Ask Smarter Data Analytics Questions
Not everyone has been trained to think like a data scientist or a data analyst, but they can learn to think more like one.
How to Enable Data at Operational Speed
Achieving data at operational speed requires a fundamentally different mentality than looking to the past for answers. Here are three steps companies can take.
Demystifying Quantum Computing: Road Ahead for Commercialization
In the coming years, quantum computers will likely far exceed the performance of today's supercomputers and as such, will open entirely new opportunities for organizations.
How Data is Transforming Healthcare for Patients, Providers and Payers
Data-driven digital health technologies are starting to bring seismic changes to the healthcare sector, delivering improved outcomes, increased efficiency, and lower costs.
The AI Ecosystem: Mapping the Future of Data Science
A new artificial intelligence landscape is emerging, enabling a new wave of innovation for those with the skills and structure to seize the opportunity.
10 Things Your Artificial Intelligence Initiative Needs to Succeed
In the race to implement AI, some companies may overlook important details that can mean the difference between success and failure.
Time to Modernize Your Data Integration Framework
Data is constantly making its way to new platforms, applications, algorithms, and users. The need for an effective data integration framework is at an all-time high. Are you ready?
How 2020 Impacted 2021's Predictive Modeling
COVID-19 disrupted the world and predictive models in 2020. In 2021, we're somewhat better prepared to deal with extreme uncertainty.
AI at Your Service
Here's how artificial intelligence in customer service optimizes employee and customer experiences.
New Storage Trends Promise to Help Enterprises Handle a Data Avalanche
Data, data everywhere, but where to put it all? Here's a rundown of five current and potential fast and high-capacity storage approaches.
10 Ways Enterprises Can Use the Edge
Edge computing is very much a work in progress, but there are several interesting use cases at work today and more anticipated for the future. Here's a look at the possibilities.
10 Hot IT Job Titles for 2021
The technology job market is evolving. These are the roles most in demand right now.
How AI Can Save the World, or Not
Lead artificial intelligence advisor to the United Nations, Neil Sahota shares his perspectives on major UN AI projects and the major challenges to AI today.
What Lawyers Want Everyone to Know About AI Liability
There are more discussions about AI ethics and responsible AI these days, but companies need to be clear about potential AI liability issues.
Graph-Based AI Enters the Enterprise Mainstream
Graph AI is becoming fundamental to anti-fraud, sentiment monitoring, market segmentation, and other applications where complex patterns must be rapidly identified.
Finding the Great Predictors for Machine Learning
Planning a data model takes a clear look at how variables should be used. A few techniques like factor analysis can help IT teams develop an efficient means to manage a model. Here's how.
3 Essential Steps to Exploit the Full Power of AI
Here's how IT leaders can help to achieve a better ROI from their artificial intelligence initiatives.
How CDOs Can Solve the Top Data and Analytics Challenge
Enterprises have made a lot of progress in becoming data driven over the past several years, but organizations continue to cite one major impediment.
7 Steps to AI Success
Demand for artificial intelligence is growing, but success rates are underwhelming. Here's what you can do to maximize the value from your AI deployment.
4 Ways to Overcome AI Obstacles
Four out of five organizations haven't scaled their AI. Here are some ways to change that.
Predictions for AI in 2021
We look past the hype to provide some real-world predictions for artificial intelligence in the enterprise next year.
5 Use Cases for the Next Great Frontier in IT Services
IT leaders should take note of the industry dynamics and these emerging use cases in order to get ahead of their peers in the next few years.
Rethinking the IT Organization in a Post-COVID World
Pursuing initiatives across organization redesign, operational cost reduction, and process automation is a must to ensure success in the new business paradigm.
What Comes Next for the COVID-19 Computing Consortium
Supercomputing and academic resources to accelerate research into the virus shift gears as vaccines to fight the pandemic might be nearing production.
How to Approach Your Mission-Critical Big Data Strategy
Across industries, big data has joined traditional, structured data as a mission-critical element. Here's some advice for CIOs and big data leaders on how to get started.
What Rubber Bands Can Tell Us About Enterprise AI
If we pay close attention to how AI is falling short and leaving humans with extra work, we can see exactly where the future lies (and how to get there).
4 Methods to Scale Automation Effectively
Here are best practices on how to scale automation successfully beyond the initial deployment to create a high-demand and thriving automation function.
What Quantum Computing Could Mean for Software Development
Once the stuff of speculation, the growth of quantum software development may share some similarities with the rise of MLOps and AIOps.
Should AI Be Part of Your Digital Transformation Strategy?
Digital transformation strategies are common, but many enterprises lack an AI strategy. Where does it fit? Not everyone agrees.
The Upside to Deepfake Technology
Deepfake technology has received its fair share of scorn, but as remote collaboration vendors incorporate more AI features into their offerings, the "deepfake" stigma will wane.
Data Analytics Without a Plan is Like Panning for Gold
Without a strategy in place to analyze and act upon your data, you'll get bogged down, sifting for worthy nuggets.
Future of Analytics: How to Decide Which Avenue to Take
Maximize the value of data analytics in your business strategy by first identifying current problems and potential solutions. Here's some advice to get you on track.
Align Your Data Architecture with the Strategic Plan
Here's how IT professionals can help top management understand the value of data and how to use it to the company's advantage.
Rise of the Data Disruption Economy in the Wake of COVID-19
Ventana Research posits that in uncertain times architecting systems, even on premises, means adopting cloud principles to be agile and adaptable.
3 Hurdles to Overcome for AI and Machine Learning
Artificial intelligence and machine learning have distinct limitations. Businesses looking to implement AI need to understand where these boundaries are drawn.
AI Accountability: Proceed at Your Own Risk
A new report suggests that to improve AI accountability, enterprises should tackle third-party risk head-on.
Top Trends in Data Lakes
Does it seem too early for data lakes to have trends? The reality is data lakes are on the very edge of business transformation efforts and dramatic change.
Addressing AI Bias Head-On: It’s a Human Job
Researchers working directly with machine learning models are tasked with the challenge of minimizing cases of unjust bias.
5 Analytics Mistakes You Need to Avoid
Don't let mistakes drag your enterprise into analytics disappointment. Catch these common errors before they can hurt your organization's bottom line.
Google, Harvard, and EdX Team Up to Offer TinyML Training
A new certification program aims to foster more development in a segment of machine learning that would run on small devices at the edge.
Making Predictive Analytics Work in an Uncertain World
Rapid, sometimes dramatic change has become "the new normal," but what we know now can help us improve predictive model accuracy.
How Synthetic Data Accelerates Coronavirus Research
When your research could save COVID-19 patients, you don't want to wait around for institutional approval to use patient data in research. Here's an alternative.
The ABCs of Data Science Algorithms
Data science algorithms are never a one-size-fits-all solution. Do you know what makes sense for your business?
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2021 State of ITOps and SecOps Report
This new report from InformationWeek explores what we've learned over the past year, critical trends around ITOps and SecOps, and where leaders are focusing their time and efforts to support a growing digital economy. Download it today!
Monitoring Critical Cloud Workloads ReportIn this report, our experts will discuss how to advance your ability to monitor critical workloads as they move about the various cloud platforms in your company.
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