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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?
Data in the Age of COVID
This crisis is teaching us a ton about the dissemination and use of data. But we must remember to use it in a way that maintains the quality of data and protects privacy rights.
4 Ways to Excel as a Female Data Scientist
Glassdoor has ranked data science as one of the top 10 best jobs in the US every year since 2015. Here's how you can stand out in this field.
Navigate Turbulence with the Resilience of Responsible AI
Extraordinary economic conditions require brand-new analytic models, right? Not if existing predictive models are built with responsible AI. Here's how to tell.
How to Detect Fakes During Global Unrest Using AI and Blockchain
Until the next technical evolution, current blockchain and AI/ML applications will continue to raise the trustworthiness bar in our zero-trust world.
The Best Way to Get Started with Data Analytics
As data analytics matures, it's attracting a wider range of adopters. Here's how your organization can tap into this essential business technology.
IT Career Paths You May Not Have Considered
As IT continues to expand into new areas, there are lots of potential career moves. Some lie outside the IT department.
How IT Pros Can Lead the Fight for Data Ethics
Maintaining ethics means being alert on a continuum for issues. Here's how IT teams can play a pivotal role in protecting data ethics.
Why a Master Data Strategy Is Key to Digital Transformation
Find out why deploying an effective master data strategy across an enterprise is an important foundation to building a successful digital transformation journey.
Business Intelligence before Artificial Intelligence
BI is the transformation of data from services, including software and assets, into accessible insights and reports. But, otherwise, why is BI important?
The Rise of TensorFlow
The high interest in the developer community to explore TensorFlow capabilities holds even higher potential to yield valuable insights in quantum computing research and applications.
Impede the Motion of Data and You Impede Innovation
Why that is, and what to do about it.
5 Tips for Understanding and Maximizing Data
To harness the power of data analytics, companies need to create a culture in which all employees understand how to use data to advance business outcomes.
Overcome Privacy Shaming During and After Pandemic
COVID-19 is reshaping the privacy landscape and calibrating priorities, but how long will it last?
Advantage ROI: Optimize AI Programs for Short-Term Gains
With many budgets constrained, now is the time to focus on artificial intelligence projects that will deliver the most payback over the next six months.
Automating and Educating Business Processes with RPA, AI and ML
How are these technologies connected, what are the implementation challenges, and how are companies using them?
Your Roadmap to AI and ML Deployments
Don't adopt artificial intelligence and machine learning without having a real business problem to solve. Here are some ways to help build the right use cases.
Has AI Failed the Pandemic Test?
In the first real test of AI in a crisis, the results are mixed. While many individual applications are helping, the tech remains immature and unable to address complex public policy issues.
Why Everyone's Data and Analytics Strategy Just Blew Up
The COVID-19 pandemic is impacting data and analytics strategies in profound ways. Experts explain what your company should be doing right now.
Using Analytics to Improve IT Operations and Services
Analytics has already enhanced an array of business functions. Now it's IT's turn to benefit from analytics-driven insights.
One Size Doesn’t Fit All for AI Regulation
The sheer scope of AI's impact on society does require some regulation. It will be essential to ensure that AI regulation is fair and ethical while not impeding innovation.
Multi-Vendor Infrastructures Are Easier Than Ever to Manage
Now might be the right time to expand your horizons and take a second look at a best-of-breed technology adoption approach.
Is Quantum Computing Ready for Prime Time?
Progress is steady, but the technology hasn't matured enough for most enterprises to truly benefit. Here's what needs to happen.
Advancing AI with Neuromorphic Computing Platforms
Within the universe of AI-optimized chip architectures, what sets neuromorphic approaches apart is their ability to use intricately connected hardware circuits.
3 Steps for Deploying Robotic Process Automation
RPA helps drive productivity and secure competitive advantages by maximizing resources already on hand. Here's how to effectively deploy it in your business.
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The State of Cloud Computing - Fall 2020
Download this report to compare how cloud usage and spending patterns have changed in 2020, and how respondents think they'll evolve over the next two years.
2021 Top Enterprise IT TrendsWe've identified the key trends that are poised to impact the IT landscape in 2021. Find out why they're important and how they will affect you.
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