SAS invests in Big Data Strategy
SAS has already made waves in the analytics field with their vast array of investments and technical developments. They recently announced a billion-dollar investment in AI technologies. The funding will cover the next three years through software upgrades, training, and specialized services. Investing in software like SAS AI will help develop your company’s AI strategy further. The sectors of development include advanced analytics, machine learning, deep learning, natural language processing and robotic vision. The company’s training programs and specialized services will prepare business leaders and data scientists for the future of AI. These programs will provide them with the technology, skills and support they need to transform the future of their organizations. “At SAS, we remain committed to our customers and their success. This new investment is further evidence of that commitment,” said SAS CEO Jim Goodnight.
“With our innovative AI capabilities, we are helping businesses avoid damaging fraud. Other services are avoiding deadly diseases, managing risk more effectively and delivering high quality services to customers and citizens.” SAS plans to spend close to $1 billion on AI in 2019, which will be focused on three key pillars. The first two pillars are research and development. The last one is education and specialized services to optimize performance from AI programs.
R&D Innovation SAS invests in research and development for AI across all key areas with a particular interest in making it easy for people to benefit from this technology, regardless of background. This is an investment that can be invaluable in any branch of your business. SAS is integrating AI capabilities into its platform, its solutions for data management, customer intelligence, fraud and security intelligence. Other aims are better risk management and applications for industries including financial institutions, governments and healthcare systems, manufacturing and retail.
SAS continues to partner with innovators and leading technology vendors such as Accenture, Cisco, Deloitte, Intel and NVIDIA. Together they bring the latest AI and machine learning developments and practices to the company’s customers. They ensure, as well, that SAS AI technologies work perfectly in their cloud and hardware environments. SciSports is a Dutch startup applying robotic vision to the soccer/football game data streaming. They use SAS’s technology to apply algorithms that extract insights and predict outcomes with accuracy.
High density AI and graphics software helps football clubs improve many aspects of the sport. The improvement includes game strategy and player selection. SAS has the right tools to help coaches and teams lead their way to success with data-driven decisions. This helps promote a positive, sustainable business outcome as well as improve ‘the beautiful game.’ “The reason SAS has been at the top of the list of companies offering advanced analytics for the past five years is that its solutions are built on the foundation of machine learning and deep analytics insights. These are part of SAS’ DNA,” said Dave Schubmehl, Director of Research for Artificial Intelligence at IDC.
“Combining SAS’ knowledge and technology with its continued drive to innovate in robot vision, NLP and Deep Learning will ensure the further spread of AI technologies across many industries. In addition, it will help companies interested in AI – whether they are in their first steps in AI and analytics or are more mature in this area.”Customer Education and Development Initiatives: Begin implementing AI systems by understanding how they work.
For the last few years, SAS has been offering programming workshops and e-learning programs to help businesses improve their AI capabilities. Now they are hosting a number of in-person demos and seminars on topics such as data science and best practices that will provide insight into all aspects of AI. Innovation is creating exciting opportunities and it’s important to prepare the workforce for these changing conditions. Data science certifications such as SAS Certified Professional in AI and Machine Learning are an excellent way to bridge this gap, preparing both sexes alike for a successfully career that’s full of new innovations.
This certification makes industry professionals increasingly more sought after by companies looking for AI talent. The SAS Analytics Center of Excellence, a team of experts in AI, machine learning, NLP, robot vision, optimization, simulation and data science. Experts in SAS software have lots of experience and can help you implement AI projects. They also provide handy technical support, which is often part of the investment. SAS has recently added more resources to their Professional Services and Centers of Excellence, in order to strengthen their AI presence. Artificial Intelligence and Analytics in Action As the newest addition to SAS’s smart campus program, the new SAS headquarters is a 420,000-square-foot tower that houses their new Global Learning Center. The building leverages some of the latest innovations in AI and machine learning.
The company is building a new building that packs in thousands of IoT sensors. These sensors record water consumption and energy consumption, helping to reduce the need for office employees. The company will set up a neural network using SAS Event Stream Processing to monitor their equipment and predictive systems in real time. They can also improve the performance of their business by identifying problems before they become major and optimizing. SAS headquarters is part of a solar-powered campus that uses 50% sustainable energy!
Among the SAS customers are users who are using AI and machine learning in their loyalty programs. SAS technology has been in use and known for its quality in the business world for a while now, providing their customers with personalized recommendations that are powered by AI. Daiwa Securities is a good example of that. A system tracks and predicts customer changes, recommending the most effective product or follow-up messages to retain customers and reduce cancellation rates – Volvo and Mack Trucks – use SAS AI solutions to analyze IoT data flowing from big rigs and then provide predictive maintenance information that helps the fleet keep moving.
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Author: PC-GR
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