Blogs

Innovation

Read how data-driven insights can help organizations uncover new approaches to their key challenges and deliver new innovations faster.

Predictions

Alyssa FarrellOctober 15, 2024 0

The 2025 reality for health and life sciences

Another promise of innovation and advancement? Not in 2025. The hype of market disruption and transformation might be the content that catches attention, but it’s not always the most accurate description of the industry. For far too long, industry experts have praised the ideas of future-forward growth and promised year-over-year

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Health Care | Life Sciences

Predictions | Risk Management

Julie MuckleroyOctober 14, 2024 0

Pivoting toward the future of banking in 2025

As we peer into 2025 looking for signs of what’s to come, one thing is certain – the global banking industry will continue its evolution. Historically, banks have responded to change more slowly; the industry’s risk-averse culture drives a calculated and measured approach. However, the volatility, uncertainty, and challenges of

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Banking

Artificial Intelligence

Vrushali SawantOctober 2, 2024 0

5 keys to creating effective model cards

We know that building trust in technology is a big deal. It’s no longer enough for AI to just work – we need to understand how it works, what it is doing and whether it’s performing as expected. That’s where model cards come in. If you remember from our previous

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Advanced Analytics | Predictions

Paul VendittiSeptember 27, 2024 0

Building a digital twin? Start with these 5 building blocks

Want to deploy digital twins as part of your predictive maintenance strategy? You should, for countless reasons that have been identified elsewhere. But like anything else worth doing in business, it’s a process – you need to know where your organization lands on the maturity curve, and where it’s going.

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Analytics | Predictions

Marinela ProfiSeptember 23, 2024 1

9 truths you should know about GenAI before jumping in

Before rushing to invest in generative AI (GenAI), organizations must pause and take a step back. GenAI is powerful and has shown potential to revolutionize multiple industries – but it’s not a silver bullet. Now that we’ve finally gotten past the hype phase, it’s time to look at the realities

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Artificial Intelligence | SAS Events

Jared PetersonSeptember 9, 2024 0

3 things I shared at SAS Innovate on Tour – and 3 things I learned

When it comes to presenting at events like SAS Innovate on Tour, it’s never just a one-way street. No matter how many countries I visit, how many times I click through my slides, or how often I speak to a room full of people who love technology, I always learn

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Advanced Analytics | Artificial Intelligence

Caslee SimsSeptember 9, 2024 1

AI at work: Reducing risks and saving lives on the job

AI is at its best when it is used to enhance productivity and improve the lives of those it affects. When used correctly, AI can also save lives. That’s the vision driving a new project at SAS, where applied AI models and cameras create a simulated work environment focused on

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Manufacturing

Advanced Analytics | Artificial Intelligence | Predictions

Alice McClureSeptember 5, 2024 0

Data and AI innovation — any way you code it

In a world rich in data, data enthusiasts and problem solvers can have greater success and innovate faster with flexibility in choice. To code or not to code. The answer aligns with the problem and the data talent working to solve it. What does innovation look like inside your organization?

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Artificial Intelligence | Predictions

Manisha KhannaAugust 22, 2024 0

Foundation and domain models: Going beyond the GenAI hype

Foundation and domain models are transforming how businesses approach technology. These powerful tools are moving beyond the hype of GenAI, offering real solutions for a variety of tasks – whether generating text, creating visual content or even composing music. A new global survey of 1,600 organizations revealed critical insights into

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Advanced Analytics

Albert QianAugust 14, 2024 0

Intelligent decisioning 101: 10 introductory terms you should know

You’ve collected your data, organized it, and created a model to help you understand what you’re working with. Now what? For many organizations, the next step isn’t so clear. Only 50% of models ever make it to production, which means many aren’t even realizing the value of their investment. One

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