SAS Voices

Data Management

Blend, cleanse and prepare data for analytics, reporting, or data modernization efforts.

Artificial Intelligence | Data Management | Predictions

Julie MuckleroyDecember 5, 2024 0

The data debacle: Boom or bust for banks?

At the very heart of the financial world lies a commodity so vast it’s almost immeasurable ... and it’s growing exponentially with potential yet unrealized. Big data – complex structured and unstructured datasets arriving from innumerable sources – is reshaping the global banking industry. Used effectively, big data can support the delivery

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Banking

Advanced Analytics | Data Management | Predictions

Nicole PeelerNovember 21, 2024 0

Health care’s newfound ally against fraud: AI and generative AI

It is no surprise that generative AI (GenAI) is quickly becoming a potent tool in the health and life sciences industry. There are numerous ways that AI and GenAI can help beat the rising tide of fraud. We can count on these new technologies to enable the ability to commit

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Health Care | Life Sciences

Artificial Intelligence | Data Management

Marinela ProfiNovember 15, 2024 0

We’re in our developer era

Fearmongers would have you believe that AI will replace us, but I truly believe there has never been a better time in history to be a developer. With the advance of artificial intelligence into generative AI (GenAI) and enhanced computing power, we stand on the brink of a new era

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Artificial Intelligence | Data Management

Lindsey CoombsNovember 14, 2024 0

The new data frontier: Next-generation AI technologies and synthetic data

Data scarcity, privacy and bias are just a few reasons why synthetic data is becoming increasingly important. In this Q&A, Brett Wujek, Senior Manager of Product Strategy at SAS, explains why synthetic data will redefine data management and speed up the production of AI and machine learning models while cutting

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Artificial Intelligence | Data Management

abstract image of multi-colored data funnel

Marinela ProfiJuly 19, 2024 0

The one constant in our AI future? Data

With all the technology changes coming in the next five years, what should organizations invest in first? The innovations keep coming and so do the 3 a.m. night sweats for decision makers. “How will we catch up when technology seems to change overnight, nearly every night?” It’s a surprisingly common

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Cloud | Data Management

Hans-Joachim EdertApril 16, 2024 0

Balancing cloud challenges with containerization strategies

Cloud computing and containerization are two technologies that directly impact a CIO's core responsibilities: delivering IT services efficiently and effectively for the business. Beyond their technical implications, these technologies represent a strategic shift toward meeting business needs for agility, scalability and faster innovation. Striking a balance between opportunities and

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Analytics | Data Management | Predictions | SAS Events | Students & Educators

Alex CoopMarch 19, 2024 0

Gamification finds next-generation risk management talent

Careers in risk management can be rewarding. The disciplines are key to a broad range of industries. Risk management teases the analytical side of the brain and there is a clear line of contribution between the work and the organization's performance. Careers in risk management are also shrouded in mystery

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Insurance

Data Management

Charlie ChaseFebruary 1, 2024 0

Benefits of an AI driven retail planning strategy

Retailers face unprecedented challenges with supply chain volatility, inflation, oil price fluctuations, labor shortages and geopolitical activities, making it difficult to plan across the organization. With retail evolving, coupled with persistent supply chain issues, this adds complexity to anticipating and planning for shifts in consumer demand. The emergence of an

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Retail

Data Management

Alison BolenJanuary 30, 2024 0

The blueprint of data quality: Georgia-Pacific's strategic approach

In the digital age, the adage "knowledge is power" has evolved into "data is power." It reflects the immense value of high-quality data and a strategic approach to data management. At the heart of any successful modern enterprise lies a robust data strategy coupled with stringent data quality standards. For

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Manufacturing

Data Management | Innovation | Predictions

Kristi BoydNovember 27, 2023 0

A practical approach to creating, reading, updating and deleting data in 2024

AI became the unofficial word of 2023 and the craze is likely to continue into 2024 as new creative applications and uses of AI emerge across industries and sectors. But before organizations invest too many resources into foundational AI models, leadership should ensure that the organization has a firm grasp

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Blogs

Blogs

Data Management