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Articles by Randy Guard
Market Intelligence Tools in 2026: A Buyer’s Guide
A recent survey of 750 business leaders found that 58% say their companies make key decisions on inaccurate or inconsistent data most of the time or always. That’s not a data engineering problem. It’s a decision problem, and it’s a big reason market intelligence software has turned into such a crowded category.
Consumption-Based Pricing: Why Intelligence Platforms are Breaking the Seat Model
Intelligence platforms have evolved faster than the way we pay for them. They started out describing what happened. Today’s platforms are proactive: they put AI agents to work producing the analysis and recommendations a team used to assemble by hand. This evolution is the real story, and it is quietly rewriting the value proposition. Once agents do the work, a seat is a poor measure of value, which is why intelligence platforms are moving to consumption-based pricing.
Spreedly Expands Payment Methods Offered to PayPal Braintree Customers
Spreedly, the provider of the leading Payment Orchestration platform, today announced even more payment method options for customers with the addition of integrations to Venmo, PayPal Credit, PayPal Pay Later, and ACH payments. These new payment methods are now available to joint PayPal and Spreedly customers processing through PayPal Braintree.
Customer experience matters
Did you know the first SAS® Users Group event took place before SAS was incorporated as a company? In 1976, hundreds of early SAS users gathered in sunny Kissimmee, FL to share tips and offer feedback before SAS was even officially a company. Our users have continued to influence the direction of our products ever since. And we continue to be keenly interested in the customer experience. At SAS, customers are at the heart of everything we do, and your experience is our passion.
Free SAS E-Books
Computer Vision with SAS®: Special Collection Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. In recent years, computer vision has begun to rival and even surpass human visual abilities in many areas. SAS offers many different solutions to train computers to “see” by identifying and classifying objects, and several groundbreaking papers have been written to demonstrate these techniques.
7 tips for operationalizing analytics
One of the biggest challenges we’ve been hearing from customers lately is that they need help operationalizing analytics to extend the value of their modeling efforts. In many cases, they’ve hired smart data analysts who can transform data and create sophisticated models, but their work is used for a single purpose and then it sits on a hard drive somewhere. It’s difficult for most organizations to figure out how to move models from a single machine into widespread operational use.
Optimistic about AI and the future of work
I have good news to share about the future. Despite what you may have heard elsewhere, the future of work in a world with artificial intelligence (AI) is not all doom and gloom. And thanks to a research-backed book from Malcolm Frank, What to Do When Machines Do Everything, we have data to prove it. Also, thanks to new educational approaches, we are better equipped to prepare students and misplaced workers for a future with AI.
AllAnalytics - Randy Guard - Welcome to the Analytics Economy
Data is everywhere. We've been talking about that since the big data craze began a few years ago. But now we're seeing something different. It's not just data. It's accessible data, fueled by advances in computing power, connectivity, and powerful analytics. This mixture of data, analytics and the ability to collaborate forms the foundation for the analytics economy, where each insight sparks the next. It's where similar to the concept of compounding interest, value comes from compounded insights.
The Internet of Things is happening now - SAS Voices
If you’ve been waiting for the buzz to settle around the Internet of Things before deciding how to invest in this new technology space, now’s the time to stop waiting. I’ve been working in the technology sector for a few decades, and the innovation and excitement I’m seeing around IoT is unlike anything else I’ve seen. The nature of the market around IoT is in an exciting state of frenzy.
Welcome to the Analytics Economy - InformationWeek
An analytics economy is emerging, where organizations differentiate themselves and succeed with a blend of data, analytics, and collaboration. Data is everywhere. We’ve been talking about that since the big data craze began a few years ago. But now we’re seeing something different. It’s not just data. It’s accessible data, fueled by advances in computing power, connectivity, and powerful analytics.
Bringing intelligence to the Internet of Things - SAS Voices
One of the best parts of my job is hearing about all the cool ways people are using data for good. Increasingly, many of these stories are related to the Internet of Things, including: Seems like every day there’s an ingenious new way to collect data and generate insights. There’s a lot of excitement about IoT, and rightly so. Yet the concept itself is not new; industries like energy and manufacturing have been using sensors for a long time.
Analytics economy = data + analytics + collaboration - SAS Voices
Have you heard the term “analytics economy” and wondered what it means? Or maybe you’ve wondered how your organization can use data and analytics to achieve economic gains. At SAS, we’ve been talking about the analytics economy a lot lately. So naturally, people ask me what exactly we mean by that. After all, we’ve been talking about "data everywhere" since the big data craze a few years ago...so what’s new now? The key change is that now we have more than just data.
How to embed advanced analytics in your biggest ideas?
As we look at the last 40 years of innovation using analytics, it can be both humbling and inspiring. I mean, who would have anticipated 40 years ago that SAS® would be used to analyze genomic data and help develop specialized medications as a result? Who would have guessed that a car manufacturer could analyze streaming data from sensors and onboard devices to improve safety?
Introducing the Internet of Turkeys
When we talk about the Internet of Things and “analytics at the edge,” we’re talking about modeling data as close as possible to the device – not far away in some warehouse or data storage appliance. So, generally, the edge is anything with a sensor that is transmitting data: an appliance, a car, a manufacturing robot, and so on. But could the edge be a turkey? You’d be surprised what a Brainiac can come up with over a holiday weekend.
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