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The Upside to Deepfake Technology
Commentary  |  10/23/2020
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
Commentary  |  10/14/2020
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
Commentary  |  10/5/2020
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
Commentary  |  9/22/2020
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
Commentary  |  9/17/2020
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
Commentary  |  9/17/2020
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
Commentary  |  9/8/2020
A new report suggests that to improve AI accountability, enterprises should tackle third-party risk head-on.
Top Trends in Data Lakes
Commentary  |  8/24/2020
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: Itís a Human Job
Commentary  |  8/21/2020
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
Commentary  |  8/18/2020
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
Commentary  |  8/13/2020
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
Commentary  |  8/10/2020
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
News  |  8/7/2020
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
Commentary  |  7/31/2020
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
Commentary  |  7/27/2020
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
Commentary  |  7/24/2020
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
Commentary  |  7/22/2020
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
Commentary  |  7/13/2020
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
Commentary  |  7/8/2020
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
Commentary  |  6/30/2020
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
Commentary  |  6/26/2020
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
Commentary  |  6/25/2020
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
Commentary  |  6/22/2020
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
Commentary  |  6/19/2020
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
Commentary  |  6/17/2020
Why that is, and what to do about it.
5 Tips for Understanding and Maximizing Data
Commentary  |  6/12/2020
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
Commentary  |  6/9/2020
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
Commentary  |  5/29/2020
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
Commentary  |  5/18/2020
How are these technologies connected, what are the implementation challenges, and how are companies using them?
Your Roadmap to AI and ML Deployments
Commentary  |  5/18/2020
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?
Commentary  |  5/12/2020
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
Commentary  |  5/4/2020
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
Commentary  |  4/30/2020
Analytics has already enhanced an array of business functions. Now it's IT's turn to benefit from analytics-driven insights.
One Size Doesnít Fit All for AI Regulation
Commentary  |  4/27/2020
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
Commentary  |  4/23/2020
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?
Commentary  |  4/20/2020
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
Commentary  |  4/17/2020
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
Commentary  |  4/17/2020
RPA helps drive productivity and secure competitive advantages by maximizing resources already on hand. Here's how to effectively deploy it in your business.
Unlocking Business Potential with Digital Data Optimization
Commentary  |  4/15/2020
Information is power. With data playing an increasingly important role in achieving enterprise success, IT leaders must learn how to squeeze the maximum value out of collected data.
We Will Need All the Automation We Can Get
Commentary  |  4/9/2020
Enterprise automation is not a cause for alarm but a societal imperative. Here's why.
7 Tips to Help Attract and Retain Data Science Talent
Commentary  |  4/8/2020
As firms across all industries seek to turn data, the greatest asset of the digital age, to their advantage, attracting and retaining the right talent is essential.
The Robots Are Still Coming
Commentary  |  4/1/2020
More people are needed for blue collar jobs in areas where AI-enabled automation was to have the most impact. So where are the robots?
Enterprise AI Goes Mainstream, but Maturity Must Wait
Commentary  |  3/31/2020
An O'Reilly survey illustrates how enterprise groups are moving more applications into production, but also how companies face cultural and talent focused barriers.
Supercomputers Recruited to Work on COVID-19 Research
News  |  3/27/2020
A consortium forms to crunch data that might help researchers get a better understanding of the virus faster.
Enterprise Guide to Robotic Process Automation
Commentary  |  3/23/2020
RPA is a fast-growing category of software, driven by global enterprise digital transformation efforts. Is it ready for prime time? This guide covers the benefits, best practices and use cases today.
The Role of AI in the Race for a Coronavirus Vaccine
Commentary  |  3/12/2020
AI can spot patterns in data and make predictions, and the hope is these tools could identify drug prospects to test on humans within months.
Whatís Propelling Growth for Artificial Intelligence?
Commentary  |  3/6/2020
Here are three technology breakthroughs that are acting as catalysts, along with four core roles of AI that are driving it forward.
Who Should Own RPA?
Commentary  |  2/18/2020
Enterprises are running into challenges with robotic process automation because lines of business or IT are missing the bigger picture. Thinking strategically and cross-functionally helps.
Engineering Tiny Machine Learning for the Edge
Commentary  |  2/6/2020
As developers face the challenge of making complex AI and machine learning applications work on edge-computing devices, options to support Tiny ML are emerging.
IT Careers: 10 Job Skills in High Demand This Year
Slideshows  |  2/3/2020
If you're looking to add skills to your resume, experience with these technologies might help you land a new job or promotion.
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2020 State of DevOps Report
2020 State of DevOps Report
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