Adding linguistic techniques in SAS NLP with LLMs not only help address quality issues in text data, but since they can incorporate subject matter expertise, they give organizations a tremendous amount of control over their corpora.
With so much complexity and change in the marketplace, organizations worldwide are leveraging opportunities to make better predictions, identify solutions and take strategic, proactive steps forward – which means that they increasingly depend on big data. In their quest for organizational resilience, however, companies find that numbers aren’t necessarily the secret
Amid historical and structural barriers, “quality cancer treatment for all” is a simple credo that is not easy to put into action. Cancer is recognized as a leading cause of death, accounting for more than 10 million deaths globally in 2020, according to the World Health Organization. Globally, people with
A team of SAS employees recently participated in a data-for-good project focusing on forest fires in the Amazon. In conjunction with the Amazon Conservation Association (ACA), the team explored options to collect and analyze publicly available imagery and fire data to better understand the drivers for forest fires as well
More than four decades ago, SAS developed a breakthrough system that helped farmers and researchers better understand and analyze crop yields and livestock production. It was pioneering work that laid a foundation for the emerging field of advanced analytics. While SAS has continued to grow and serve many other industries,
A conversation with BASF, Damien Caby, Senior Vice President, who is responsible for the global business unit Oilfield & Mining Solutions.
Machine Learning models are becoming widely used to formulate and describe processes’ key metrics across different industry fields. There is also an increasing need for the integration of these Machine Learning (ML) models with other Advanced Analytics methodologies, such as Optimization. Specifically, in the manufacturing industry, SAS explored state-of-the-art science
Many of us are lucky to have food on the table and grocery stores stocked with the food and beverages we want or need, and this is in a large part, due to our farmers. If you didn’t grow up on a family farm or a rural area where corn
Meet Alfred Mukudu in this third post of the Humans of SAS Services series.
Learn the nuts and bolts of how to measure data quality from expert Jim Harris.
It is a generally accepted maxim in business that you can’t cost-cut your way to success. Growth requires attention to the top line, which in turn is largely driven by innovation. Applying analytics to improving innovation suffers from the same lack of direction as does Analytics for strategy, but with
Interested in making business decisions with big data analytics? Our Wiley SAS Business Series book Profit Driven Business Analytics: A Practitioner’s Guide to Transforming Big Data into Added Value by Bart Baesens, Wouter Verbeke, and Cristian Danilo Bravo Roman has just the information you need to learn how to use
This article is the first in a series of three publications covering REST APIs and their use in, and with SAS. Today, I want to cover a basic example using SAS Viya REST APIs to download an image from a report in SAS Visual Analytics.
Avoid frustrations by following these 5 tips from David Loshin to create a successful data management strategy for analytics.
We hear a lot about how various industries are using data visualization and analytics. But what about the education industry? The institutional research office (IR) at universities is the center for data, reports and analytics and provides decision makers with information about the university. The IR teams are working on
Maybe you’ve heard of text analytics (or natural language processing) as a way to analyze consumer sentiment. Businesses often use these techniques to analyze customer complaints or comments on social media, to identify when a response is needed. But text analytics has far more to offer than examining posts on
As traditional reserves deplete and oil prices rise, market analysts predict that the global demand for petroleum products will increasingly be met with oil extracted from non-traditional resources in more challenging and harsher environments. Therefore, companies across the oil & gas industry are evaluating technologies and processes that can deliver
‘Quality‘ means many things to many people. It’s subjective and depends on the industry and product being made, but the fundamental objective is to provide the best product to the right standard associated to fit, form and function. And cost and required profit margin must also be taken into account.
Widespread flooding. Downed power lines. Broken poles. Failed transformers and breakers. Leaking pipes. Shut down refineries. The toll that a catastrophic storm takes on the energy value chain is significant. A functioning power grid, clean water and reliable fuel sources are critical for public safety and economic recovery. Even with
In an increasingly complicated operating environment, the global oil and gas industry struggles to optimize their asset portfolio. Producers combat severe challenges inherent to aging facilities in the context of pricing volatility. Change is the new constant, as the cyclical nature of the oil and gas industry means that producers
Quality in every thought, every action, every outcome You might think differentiating on the quality of your products is a no-brainer – who wouldn’t seek to make every product incredibly high quality? Yet experience shows us that many manufacturers only capture data from the production line. While this approach creates
"Two weeks to go," Santa said to himself, with millions of toys stacked up on the shelves. Each year worry hit at the same time – "How do I get the right toy to the right child without losing my mind?" Though Old St. Nick didn't have a computer science degree, deep down
During a data quality assessment, one of my clients discovered that a large chunk of data that ultimately fed into their business analytics engine was sourced externally. After examining the contracts surrounding this data, I found that 100% of it failed to possess service-level agreements (SLAs) for the quality of
This is the third of the seven parts of blog post series “A practical guide to tackle auto insurance fraud”. In the first two articles of the series we drilled down to Data Management and Data Quality as the basis for insurance fraud detection analytics and also to the Business
Welcome to the 1st practical step for tackling auto insurance fraud with analytics. It is obvious why our first stop relates with data, the idiom “the devil is in the details” can easily be applied in the insurance fraud sector as “the devil is in the data”. This article analyses
.@philsimon chimes in on new data-gathering methods and what they mean for analytics.
The “big” part of big data is about enabling insights that were previously indiscernible. It's about uncovering small differences that make a big difference in domains as widespread as health care, public health, marketing and business process optimization, law enforcement and cybersecurity – and even the detection of new subatomic particles.
One of our country's oldest institutions, the U.S. Census Bureau, is at the forefront of modern government efforts. Those efforts are numerous and disparate, from general directives to do more with less, to digitization and consolidation initiatives, to the “Cloud First” mandate, and the pushes for agile and open source development.
The expletive leapt from the lips of the orthopedic surgeon as he entered my hospital room. He was swathed in a green gown, purple gloves, and a white surgical mask – for his protection, not mine. He was clearly upset. “What, exactly, does $#@! mean?” I asked. “It means you’re
Does it upset you when you log onto your healthcare insurance portal and find that they spelled your name wrong, have your dependents listed incorrectly or your address is not correct? Well, it's definitely not a warm fuzzy feeling for me! After working for many years in the healthcare, pharmaceutical and
