To browse resources by type, select an option below.
-
- Select resource type
- Analyst Report
- Article
- Blog Post
- Book Excerpt
- Case Study
- Customer Story
- E-Book
- Executive Brief
- Infographic
- Interview
- Research
- Series
- Technical Paper
- Video
- Webinar
- White Paper
- White Paper - Partner
-
Customer Story
Finding the next football star with artificial intelligenceDutch sports analytics company SciSports uses emerging tech to innovate on the pitch.
-
White Paper
Machine Learning With SAS® Enterprise Miner™Learn how SAS modelers prepared data and applied different machine learning techniques to create and identify the most accurate model for predicting churn using KDD Cup data.
-
White Paper
Data Management for Artificial IntelligenceWhen machines learn from exposure to data, the truism of “garbage in, garbage out” for data is truer than ever. Now is the time for executives, particularly the chief data officer, to establish the data management strategy, technology and best practices to ensure success with machine learning.
-
White Paper
The Next Analytics Age: Machine LearningWhat management and leadership challenges will the next wave of analytic technology bring? This SAS-sponsored Harvard Business Review Insight Center on HBR.org went beyond the buzz to talk about how machine learning will change companies and the way we manage them.
-
White Paper
Data, Analytics & AI: How Trust Delivers ValueThe annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights.
-
Customer Story
Machine learning helps personalize the gift card experience across retail channelsEpipoli uses SAS artificial intelligence and customer intelligence solutions to craft relevant, real-time offers for customers.
-
White Paper
Enhancing AML Efficiency and EffectivenessCelent discusses how banks are adopting artificial intelligence, machine learning and robotic process automation, including the benefits and key lessons learned. The paper explores considerations for AI adoption and future benefits for the AML industry.
-
Customer Story
IoT data with artificial intelligence reduces downtime, helps truckers keep on truckingVolvo Trucks and Mack Trucks use sensor data and SAS AI solutions to minimize unplanned downtime.
-
White Paper
How to Do Deep Learning With SAS® Get an introduction to deep learning techniques and applications, and learn how SAS supports the creation of deep neural network models.
-
Customer Story
Finding your best customers with machine learningSeacoast Bank enhances customer value using AI and SAS Visual Analytics on SAS Viya.
-
Article
3 steps for AI ethicsWill artificial intelligence benefit humanity or usher in a series of unintended consequences? AI ethics may be one way to ensure artificial intelligence is used for good.
-
Customer Story
Zeroing in on property values with machine learningArtificial intelligence improves assessment accuracy and productivity in Wake County.
-
Customer Story
AI-driven personalization gives electronics retailer a boostConrad Electronic uses customer intelligence solutions from SAS to craft relevant offers in real time.
-
Customer Story
Increasing customer loyalty with artificial intelligenceConnexions Loyalty Chief Data and Analytics Officer turns streaming customer data into a source of innovation.
-
White Paper
Adopting AI: Strategic Takes on AI AdoptionA successful AI implementation requires a strong strategy from the beginning. Knowing how and where to fit AI into your business to gain the most benefits is crucial to drive growth.
-
Customer Story
SAS Artificial Intelligence leads to improved customer satisfactionMachine learning models powered by the SAS Platform help high-tech company Konica Minolta Japan reduce costs and enhance competitive edge.
-
White Paper
The Machine Learning LandscapeThis paper, for novice and intermediate data scientists, talks about the four widely recognized machine learning styles and their common uses, data and modeling methodologies, and popular algorithms for solving machine learning problems.
-
White Paper
The Risks and Rewards of AIExploring the rise of AI, Harvard Business Review has published a collection of articles assessing the opportunities and pitfalls that could evolve, with discussions on the innovative uses of data and analytics, industry adoption, impacts to human work, and the factors of business change.
-
White Paper
Adopting AI: Industry PerspectivesFrom self-driving cars to supply chain jobs, detecting crime and changing healthcare, AI promises to transform our business world. The promise of AI is no longer speculative—it’s today’s reality.
-
Analyst Report
IDC Perspective: Highlights from the 2018 European SAS Conference for Industry AnalystsThis IDC Perspective summarizes key takeaways from the annual European SAS Conference for
Industry Analysts.
-
White Paper
Machine Learning Use Cases in Financial CrimesLearn 10 proven ways machine learning can boost the efficiency and effectiveness of fraud and financial crimes teams – from data collection to detection to investigation and reporting.
-
White Paper
Adopting AI: The Impacts of AI on ManagementThe AI revolution is no longer the stuff of science fiction – it’s corporate reality. Harvard Business Review’s AI Adoption Insight Center articles on management discuss the reality of AI execution in businesses today and what we’re learning as AI advances.
-
White Paper
Adopting AI: Linchpins of AI Success - Data Scientists and Their Algorithms The Harvard Business Review’s AI Adoption Insight Center focuses on the the human faces behind the computational and automation advancements that are carrying our world into exciting, uncharted territory.
-
White Paper
Marketing Analytics Meets Artificial Intelligence: Six Strategies for SuccessThis paper explores six ways that AI can help marketers improve their marketing effectiveness, including increasing digital intelligence by integrating web analytics data with multichannel data to gain a comprehensive view of the customer for better personalization and engagement.
-
White Paper
The 3 R’s of AI Adoption: Refactor, Reinvent, ReimagineLearn how organizations are using AI to refactor, reimage and reinvent business as usual. Understand the relative impacts on business process, analytics and data practices, and DevOps at each level of adoption.
-
Article
Analytics can help prevent substance use disorder and over-prescribingStates and MFCUs now have the analytics tools they need to change the trajectory of the opioid crisis by analyzing data and predicting trouble spots – whether in patients, prescribers, distributors or manufacturers. The OIG Toolkit with free SAS® programming code makes that possible.
-
White Paper
TDWI Navigator Report: Predictive AnalyticsThis TDWI Navigator Report for Predictive Analytics shares some key differentiators for SAS, including the breadth and depth of functionality when it comes to advanced analytics that supports executives, IT, data scientists and developers.
-
White Paper
Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language ProcessingThe global excitement around the latest advancements in artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) technologies has increased with the evolution of computing power.
-
White Paper
Machine learning and artificial intelligence in a brave new worldMachine learning in the last few decades has given way to an AI revolution. From self-driving cars to virtual assistants, learn more about the endless possibilities for these developing technologies.
-
White Paper
Improve Customer Experience with Actionable Artificial Intelligence While more marketers turn to artificial intelligence technologies, this new territory also raises more questions. This paper offers a detailed look into how AI works, and explores the opportunities and challenges it presents.
-
Analyst Report
SAS is a Leader in The Forrester Wave™: Streaming Analytics, Q3 2017Streaming analytics are critical to building contextual insights for Internet-Of-Things,
mobile, web, and enterprise applications. Read the report.
-
E-Book
The Machine Learning Primer This e-book provides a primer on machine learning, deep learning, natural language processing and cognitive computing, as well as 10 best practices and a checklist for machine learning readiness.
-
White Paper
AI Momentum, Maturity and Models for SuccessSAS, Intel and Accenture, working with Forbes Insights, surveyed business leaders and interviewed thought leaders around the world to identify early adopters and uncover emerging best practices for AI. Find out what they had to say.
-
Analyst Report
SAS is a Leader in The Forrester Wave™: AI-Based Text Analytics Platforms, Q2 2018Forrester names SAS a Leader in The Forrester Wave™: AI-Based Text Analytics Platforms, Q2 2018
-
Article
What do drones, AI and proactive policing have in common?Law enforcement and public safety agencies must wrangle diverse data sets to be effective in their operations. Intelligence analysts are using that data to apply machine learning and AI for more proactive policing.
-
Analyst Report
Gartner positions SAS as a Leader in the Magic Quadrant for Data Science and Machine-Learning Platforms 2019 -
Customer Story
Advanced analytics can detect and prevent insurance fraud before losses occur | SAS -
E-Book
Making Sense of AIThis e-book explores the current boundaries of AI, as well as the many ways that modern AI applications can improve our understanding of the world and enable us to make better, faster decisions.
-
White Paper
The Artificial Intelligence of Things We’re living in a world that has more connected devices than humans. See how AI amplifies the value and potential of this fast-growing Internet of Things.
-
Analyst Report
SAS is a Leader in The Forrester Wave™: Multimodal Predictive Analytics And Machine Learning (PAML) Platforms, Q3 2018Forrester names SAS a Leader in The Forrester Wave™: Multimodal Predictive Analytics And Machine Learning (PAML) Solutions, Q3 2018.
-
Analyst Report
Bloor InBrief: SAS Event Stream ProcessingLearn why Bloor considers SAS a major contender in the market for streaming analytics platforms due to SAS’ differentiating analytic capabilities, notable performance and continuous improvement of in-stream models using machine learning.
-
Customer Story
Machine learning and cloud analytics lead to better bankingATB Financial uses artificial intelligence and SAS Viya on Google Cloud to halve processing times and enhance the customer experience.
-
White Paper
The Evolution of AnalyticsLearn about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
-
White Paper
Artificial Intelligence for ExecutivesThis paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
-
E-Book
Rationalizing Risk in Artificial IntelligenceOrganizations that wait for AI perfection tomorrow will invariably miss out on its great potential today. Because while risk can’t be avoided entirely, it can be rationalized.
