Analytics
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Article
Preventing domestic violence with wearablesAfter her sister became a victim of domestic violence, Kimberly Calhoun developed a wearable that collects data and reports on the offender's location in real-time, alerting police and protecting victims.
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Article
Big data in educationA recent MIT Sloan Management report highlights how businesses are using analytics as a source of innovation -- so are universities, says SAS' Georgia Mariani.
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Article
Analytics startup focuses on health care optimizationAnalyzing vast amounts of data is key to optimizing health care outcomes, improving patient satisfaction and lowering total costs.
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Article
Wanted: AI leadersDo you have what it takes to be an AI leader? In this growing field, people skills, innovation and ethics are more important than expertise in artificial intelligence technologies.
Big Data
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Article
Big data in government: How data and analytics power public programsBig data generated by government and private sources coupled with analytics has become a crucial component for a lot of public-sector work. Why? Because using analytics can improve outcomes of public programs.
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Article
Machine learning, data science and AI meet IoTIn this video, Kirk Borne and Michele Null discuss the intersection of machine learning, AI and data science with IoT data and analytics.
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Article
The connected consumer: IoT's impact on the future of retailThe IoT and the connected consumer are set to revolutionize retail. Here are a few ways companies can take advantage of technology advancements.
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Article
Connected vehicles: IoT steers a new direction for OEMsWith IoT and analytics, automakers and their partners can reshape business models, find new ways to monetize data and serve customers better.
Business Intelligence
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Article
Location intelligence: Adding geospatial context to BI Get tips for implementing a location intelligence data strategy from industry thought leader and data explorer, Jen Underwood.
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Article
IIA research identifies barriers to business intelligence and analytics adoptionFind out what the biggest barriers are to business intelligence and analytics adoption and how to overcome them.
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Interview
Location analytics: Why adding where makes BI betterLearn how location analytics can enrich your BI endeavors by blending geographic data, spatial analysis and business data for deeper insights.
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Article
Learning the art of analytical storytellingCrafting and pitching enticing data-driven stories is a vital skill to master. Here are a few tips to help you get started with storytelling visualizations.
Data for Good
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Article
Preventing domestic violence with wearablesAfter her sister became a victim of domestic violence, Kimberly Calhoun developed a wearable that collects data and reports on the offender's location in real-time, alerting police and protecting victims.
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Research
Nerd in the herd: protecting elephants with data scienceA passionate SAS data scientist uses machine learning to detect tuberculosis in elephants. Find out how her research can help prevent the spread of tuberculosis.
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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.
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Article
Using data to change the worldApplying data science for social good has led to new and creative ways to address issues related to education, poverty, health, human rights, the environment and more.
Data Management
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Article
Personal data: Getting it right with GDPRTo learn more about the definition of personal data, why it’s in the news and why it’s being tightly regulated by laws like the General Data Protection Regulation (GDPR), we interviewed Jay Exum, Privacy Counsel at SAS.
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Article
General Data Protection Regulation: From burden to opportunityThe General Data Protection Regulation stirs up mixed emotions, but Kalliopi Spyridaki shows how to use the new legislation for business advantage.
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Article
Data integration: It ain't what it used to beOnce limited in scope, data integration now supports analytics and data-driven operational processes like real-time insurance claims processing and IoT apps.
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Article
The five D's of data preparationFrom discovering which data is best to use, to delivering it in the right format to users, learn why these 5 D’s are essential to data preparation.
Fraud & Security
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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.
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Article
4 strategies that will change your approach to fraud detectionTechnology advances are giving financial institutions a better arsenal than ever for fraud detection. Take a look at four ways to turbocharge your defenses.
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Article
Super-charge your fraud detection techniquesPreview a white paper by the International Institute for Analytics on how to evolve the fraud function from a set of fraud detection techniques to a cohesive, continuously improving system.
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Article
Transaction monitoring: To segment or not?A typical anti-money laundering transaction monitoring program treats all customers as if they transact the same. A better practice is to analyze customer segments and apply more focused monitoring to reduce false positive alerts based on scenario thresholds.
Marketing
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Article
Effective real-time marketingEffective real-time marketing is about engaging with customers whenever and wherever they are in their buying journey. Organizations should also be focused on knowing what the customer wants (product, pricing, experience, etc.) based on real-time analytics and predictive modeling.
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Article
Contextual engagementCreating contextual customer engagements means understanding enough about each customer to ensure that all communications over time are progressively more anticipated, personal and relevant.
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Article
Data and the customer experienceCustomer experiences are better when they are backed by a deep customer profiles based on a wide range of data and driven by the latest analytical technologies that enable real-time engagement.
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Article
How to improve your AI marketing skillsMarketing teams can use current AI capabilities to enhance their efforts around campaign automation, dynamic pricing based on forecasting models, and by providing more relevant, real-time customer offers.
Risk Management
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Article
frtb: a wait and see strategy could be riskyFRTB, fundamental review of the trading book, is a regulation that changes how banks analyze market risk in the trading book to address systemic challenges.
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Article
CECL: Are US banks ready?CECL, current expected credit loss, is an accounting standard that requires US banking institutions to estimate life-of-loan losses at origination or purchase.
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Article
IFRS 17 and Solvency II: Insurance regulation meets insurance accounting standardsIFRS and Solvency II encourage comparability and transparency from a regulatory and accounting perspective for insurers, but there are important differences.
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Article
Credit risk management is the answerLending and loan volume is back up to pre-crisis levels. But banks are facing higher delinquencies as well. That's why improving credit risk management is crucial.