AI INSIGHTS
Expert insights into artificial intelligence, machine learning, and beyond
Recent AI Insights
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AI in government: The path to adoption and deploymentGovernments hold rich data and rising public expectations. Now’s the time to harness artificial intelligence (AI) and shape the future of AI in Government.
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Intelligent policing: Are data analytics systems the key to public safety?Police agencies are navigating rapidly changing landscapes, rising data volumes, evolving threats, and growing expectations for transparency and coordination. They can't keep pace if they're dependent on siloed data, aging platforms and legacy practices. Intelligent policing can help. This evolution from reactive to problem-oriented policing relies on shared data, visualization and a scalable analytics ecosystem.
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What is a customer data platform?Customer data platform popularity has risen, leading to confusion in the marketplace. Here's everything you need to know about how a CDP works, the challenges to consider when looking at options, and ways to extend the CDP capabilities beyond marketing through easy integration of real-time decision engines.
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AI transforms insurance: See 8 examples of how it worksUsing AI in insurance can boost value for customers, insurance companies and stakeholders alike. Examples range from stronger fraud detection and improved customer service to optimized underwriting processes and competitive advantage. Learn more about how AI is transforming the industry.
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AI and humanity: Collaborating to solve global problemsDisplaced communities, the food crisis and natural disasters – these situations affect quality of life, and even the ability to survive. Could artificial intelligence be the unexpected boost humanity needs? Could it accelerate our ability to make a positive, lasting impact? Learn more and read examples of how AI is being used to find solutions to global problems.
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What is AI modeling?AI modeling involves creating programs that use one or a combination of algorithms to allow computers to think, learn and predict outcomes. Much like a human brain, AI models absorb input data – numbers, texts, images, video, sound – to learn how to predict outcomes or solve specific tasks without explicit instructions at every step.
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Pięć technologii AICzy wiesz, jaka jest różnica między sztuczną inteligencją a uczeniem maszynowym? Czy potrafisz wyjaśnić podstawy technologii AI, takich jak GenAI czy agenty AI? Przeczytaj nasze omówienie, aby zrozumieć te i inne technologie napędzające fascynację sztuczną inteligencją.
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Understanding digital twin technologyLearn how digital twin technology can change industries from health care to manufacturing, and shape the future of data modeling and process improvements.
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Unlocking a strategic approach to data and AIAI is only as good as the data that powers it – this is a fundamental truth about data and AI that defines the limits of what’s possible with artificial intelligence. It may seem surprising, but it's rarely a bad algorithm or a bad learning model that causes AI failures. It's not the math or the science. More often, it's the quality of the data being used to answer the question.
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Obawy przed sztuczną inteligencją: Spokój w obliczu zmianLęk przed sztuczną inteligencją to nie żart. Niezależnie od tego, czy obawiasz się, że praca stanie się przestarzała, informacje zostaną zniekształcone, czy zostaniesz wykluczony, zrozumienie przyczyn lęku przed sztuczną inteligencją może pomóc ci go przezwyciężyć.
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Fraud detection and machine learning: What you need to knowMachine learning and fraud analytics are critical components of a fraud detection toolkit. Discover what you’ll need to get started defending against fraud – from integrating supervised and unsupervised machine learning in operations to maintaining customer service.
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Wykorzystanie danych syntetycznych do rozwoju sztucznej inteligencjiDowiedz się, dlaczego dane syntetyczne mają kluczowe znaczenie dla inicjatyw związanych ze sztuczną inteligencją, w jaki sposób firmy wykorzystują je do odblokowania wzrostu i jak mogą pomóc w sprostaniu wyzwaniom etycznym.
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What are AI hallucinations?Separating fact from AI-generated fiction can be hard. Learn how large language models can fail and lead to AI hallucinations – and discover how to use GenAI responsibly.
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What are chatbots?Chatbots are a form of conversational AI designed to simplify human interaction with computers. Learn how chatbots are used in business and how they can be incorporated into analytics applications.
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Next generation anti-money laundering: robotics, semantic analysis and AIAdding AI and machine learning to your anti-money laundering program can combat rising compliance pressures, complexity and risks. Learn about the results innovative financial institutions around the globe are getting from next-generation AML.
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Next generation anti-money laundering: robotics, semantic analysis and AIAdding AI and machine learning to your anti-money laundering program can combat rising compliance pressures, complexity and risks. Learn about the results innovative financial institutions around the globe are getting from next-generation AML.
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How AI and advanced analytics are impacting the financial services industryTop SAS experts weigh in on topics that keep financial leaders up at night – like real-time payments and digital identity. See how advanced analytics and AI can help.
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Przeciwdziałaj oszustwom związanym z wnioskami ubezpieczeniowymi!Oszuści uwielbiają łatwość prowadzenia handlu w kanałach cyfrowych. Inteligentne firmy ubezpieczeniowe wykorzystują dane z tych kanałów (certyfikat urządzenia, adres IP, geolokalizacja itp.) w połączeniu z analityką i uczeniem maszynowym do wykrywania oszustw związanych z wnioskami ubezpieczeniowymi popełnianymi przez agentów, klientów i grupy oszustów.
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4 strategies that will change your approach to fraud detectionAs fraudulent activity grows and fighting fraud becomes more costly, financial institutions are turning to anti-fraud technology to build better arsenals for fraud detection. Discover four ways to improve your organization's risk posture.
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Analytics leads to lifesaving cancer therapiesA long-shot treatment offers hope to 10-year-old Harrison after he learns the DNA profile of his cancer is resistant to chemo. Find out how data and analytics play a role in cancer research and cancer treatments that are saving lives.
Artificial Intelligence: The Basics
Exactly how intelligent is artificial intelligence? And how closely can machines mimic human intelligence? We explore these questions, and review the ways artificial intelligence is improving our world. From digital assistants to automated X-ray readings, artificial intelligence can be found in many industries.
- Select a topic
- Deep Learning
- Natural Language Processing
- Machine Learning
- Predictive Analytics
- Computer Vision
- Neural Networks
- Generative AI
- AI Ethics
What is deep learning?
If you've ever held a conversation with Siri, you've used deep learning. Systems such as Siri, Alexa and Cortana are driven in part by deep learning, a type of machine learning that trains a computer to complete human-like tasks. Speech recognition, image recognition and natural language processing are all powered by deep learning, which trains a computer to learn on its own by recognizing patterns. How can you use it? And how will it affect your industry.
What is natural language processing (NLP)?
Who would have guessed 10 years ago that you could hold a conversation with your phone or tell your thermostat to turn up the heat? Today, it's not uncommon to ask for a weather report, add to your grocery list and play your favorite music by voice command – and get immediate results.
Natural language processing is the central technology behind these advancements. But how do your devices understand language? And how can these same technologies be used in a business setting? From text mining to natural language processing and natural language understanding, find all the answers here
What is machine learning?
Machine learning isn’t new. But now it's high-powered. And that’s giving this decades-old mathematical science new momentum in the world of big data.
Self-driving vehicles? That's machine learning in action. Email spam filters and online shopping recommendations? That's machine learning for everyday life. Fraud detection? One of the more obvious – and important – uses in our world today. Discover how machine learning can help you find answers to complex problems.
What is predictive analytics?
So you’ve embraced the power of collecting and analyzing data. That’s a great first step, but it just scratches the surface. To get the most out of your data, you need to anticipate the future, not just analyze the past.
Whether you want to attract new customers, assess payment risk, identify fraud or forecast energy demand, predictive analytics can provide answers to your most complex questions.
What is computer vision?
Find out how a computer goes from "seeing" an image as a series of pixels to interpreting what's in the image and what it means. You'll learn how image segmentation, feature matching and object detection all play a role in this process – and how computer vision is used for everything from detecting cancer to assessing insurance claims.
What are neural networks?
Neural networks are computer programs designed to imitate how the human brain learns and searches for patterns. Often referred to as artificial neural networks (ANNs), they are ideally suited to solving real-world problems in different fields. Much like a human brain, they can be trained over time to improve their interpretations of data.
Generative AI: The Basics
What is generative AI and how does it work? Consider generating computer code or synthetic data. Creating a business strategy with help from a conversational AI chatbot based on a large language model. Or using a digital twin to spot supply chain disruptions. See how generative AI started, who’s using it, and which underlying technologies make it work.
What is AI Ethics?
Artificial intelligence technology gives machines the ability to mimic human decision-making and automate tasks intelligently. In a world filled with AI technology, the implications of ethics in relation to AI tech are broad. We need clear guidelines to ensure our AI systems are designed in accordance with human principles of right and wrong, from the start – including considerations around privacy, fairness, transparency and more.
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