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Canadian Olympians Owe Gold to Data Visualization
How do you train for the Olympics when your training facility is closed due to COVID? A data collection, analytics, and visualization project helped Canada keep its athletes safe as they got ready for the Tokyo summer games.
How to Explain Complex Technology Issues to Business Leaders
Promising digital initiatives can only succeed with enthusiastic management support. Here's how you can help business leaders understand why a complex new project is necessary for long-term competitive success.
The Cybersecurity Minefield of Cloud Entitlements
In the rush to the cloud, some organizations may have left themselves open to cybersecurity incidents. Here's how machine learning and analytics helped one company close the gaps.
SAS Announces Plan to Get IPO Ready
The longtime analytics and AI pioneer said that it would prepare to be ready for an IPO by 2024.
Why the Pandemic Accelerated the Decline of the Data Dashboard
An uncommon event like a pandemic means that last year's data can't be used to predict this year's conditions. What's next after that data dashboard?
AI Liability Risks to Consider
Sooner or later, AI may do something unexpected. If it does, blaming the algorithm won't help.
Data and Analytics Salaries Heat Up in Recovery Economy
After a year of uncertainty, the employment market for data scientists and analytics pros is heating up again.
Blockchain Gets Real Across Industries
Blockchain use cases are exploding across industries because these days trust is 'a thing.' Here are 11 examples.
Why IT Should Be the Next Focus of Your Sustainability Efforts
Reducing the environmental impacts from technology systems, devices, and capabilities can help companies reach their emissions goals.
3 Ways To Make Conversational AI Work For Your Organization
There's little doubt that conversational AI is gaining momentum. The question is this: How can you use it to deliver real business value?
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.
Four Best Practices for Successful AI Projects
While nearly all organizations believe AI would benefit their operations, very few have implemented it. Here are four best practices that can speed your implementation.
Data Integration is the Key to the Connected Future
Satya Nadella's vision of a distributed computing future will require centralized cloud infrastructure and business models and enterprise data integration.
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.
Ways to Cultivate a Cyber-Aware Culture
Cyber attacks are growing exponentially and becoming more sophisticated, so companies need to increase employees' level of cyber-risk awareness.
How a Wildlife AI Platform Solved its Data Challenge
Wild Me is a non-profit machine learning service provider for field biologists studying wildlife and conservation. But before you can create whale shark algorithms, you need good data.
When A Good Machine Learning Model Is So Bad
IT teams must work with managers who oversee data scientists, data engineers, and analysts to develop points of intervention that complement model ensemble techniques.
10 Ways AI and ML Are Evolving
If you think what's happening with artificial intelligence and machine learning is interesting now, just wait.
4 Skills Will Set Apart Tomorrow’s Data Scientists
Skilled data scientists are in high demand as businesses adopt data-driven strategies. Certain skills will make them indispensable.
Showing ROI for Your Analytics Project
Analytics is no longer an option and no longer a discrete function in the enterprise. If it's to be measured, it would be in the return on investment increase of the applications.
The CIO's Role in Maintaining a Strong Supply Chain
As the pandemic proved, a strong supply chain is essential for immediate and long-term business health. CIOs are perfectly positioned to play an essential part here.
Digital Transformation is Not Magic
Transformation must be a way of life, not a one-and-done IT migration. IT teams that actively pursue new technologies will future proof the business.
More Remote Work Leads to More Employee Surveillance
Looking to ensure remote worker productivity, organizations are turning to AI and surveillance technology. But 10% of workers are expected to try to subvert those efforts.
Hewlett Packard Enterprise CEO Says Future is Edge-to-Cloud
The value of accessing data faster at the edge took center stage during keynote for HPE Discover 2021.
From AI to Teamwork: 7 Key Skills for Data Scientists
Today's data scientists need more than proficiency in AI and Python. Organizations are looking for specialists who also feel at home in the C-suite.
University CIO Modernizes Networking Infrastructure
The University of Texas Arlington sought an AI-enabled Wi-Fi platform to improve student experience. The project came in the middle of a total IT overhaul.
How and Why Enterprises Must Tackle Ethical AI
Artificial intelligence is becoming more common in enterprises, but ensuring ethical and responsible AI is not always a priority. Here's how organizations can make sure it is.
Rubin Observatory Goes Open Source to Capture Galactic Data
Optical observatory under construction using InfluxData to help it process data to be collected over time from the stars.
Machine Learning Basics Everyone Should Know
Artificial intelligence, machine learning, deep learning, neural networks. ML terms are often used synonymously, but their differences are important to understand.
What SolarWinds Taught Enterprises About Data Protection
A new approach is emerging to help stay on top of data protection, assuming the system has already been breached.
Seeking an Oasis in a Data Desert
Gaps in data quality, particularly due to supply chain issues during the pandemic, is becoming a serious influence on planning effective machine learning models.
Preparing for the Upcoming Quantum Computing Revolution
Quantum computing promises to radically transform IT operations and services. How will your organization manage the change?
How Enterprises are Evolving Their NLP
Natural language processing is the subset of AI that powers voice bots and text-based analytics. Here's how it's evolving in the enterprise.
Preparing Future Data Scientists for Jobs of Tomorrow
While organizations amass data they want to leverage, Purdue University is working to marry data science academics to those real-world needs.
Data is the Cure for What’s Ailing the Supply Chain
With a seismic shift to online purchasing, consumers want to get what they want and when they expect it.
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.
ServiceNow's Acquisition Spree Adds Observability
ServiceNow's acquisition program is aimed at creating the autonomous enterprise of the future. Here's how observability company Lightstep fits in.
Formula One, NFL, and NHL Work on Their Hustle with AWS
Panel of major league sports at the AWS Summit Online discussed how they use machine learning to crunch fast-paced data into digestible content.
Chief Data Officers Help Steer Digital Transformations
Chief Data Officers are prioritizing data quality, ROI from data and analytics investments, and data sharing.
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.
How to Upskill Your Staff for AI and Machine Learning
Upskilling teams in machine learning and artificial intelligence can help you organically build a future-ready workforce with the necessary skills to face upcoming challenges.
Using Data as Currency: Your Company’s Next Big Advantage
Though challenges arise when implementing a strategy to capitalize on data currency, the rewards are worth the effort. Here are six ways to unlock the value of your data.
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.
Corporate Diversity Efforts Get Real
Data Science For All offers free education, and mentorship, plus hiring at partner companies like Accenture and Target. Here's what its founders say about diversity today.
C-Suite Changes to Come
The C-suite has expanded, but will the trend continue? Likely yes, but how depends on what your company values most.
Move Over, Zoom, Holograms Are Next
COVID-19 obliterated business travel. Some companies are partially replacing it with holograms.
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.
How to Recruit AI Talent and Keep Them Happy
Data and analytics leaders looking to expand their AI teams should understand how to recruit, hire, organize, train, and retain AI talent to ensure long-term AI success.
Pandemic Responses Make Room for More Data Opportunities
The move to accelerate digital transformation and engage with customers online in 2020 increased the opportunities for gathering data.
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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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