AI INSIGHTS
Expert insights into artificial intelligence, machine learning, and beyond
Recent AI Insights
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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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4 strategies that will change your approach to fraud detection기술의 발전에 힘입어 금융 기관들은 그 어느 때보다 우수한 사기 탐지 기능으로 무장하고 있습니다. 방어망를 대폭 강화할 수 있는 4가지 방법을 소개합니다.
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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.
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Analytics: A must-have tool for leading the fight on prescription and illicit drug addictionStates 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.
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Detect and prevent banking application fraudCredit fraud often starts with a falsified application. That’s why it’s important to use analytics starting at the entrance point. Learn how analytics and machine learning can detect fraud at the point of application by recognizing the biggest challenge – synthetic identities.
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Break stuff . . . servers, rules and the glass ceilingCarla Gentry knows what it’s like to be the only woman on the team and is happy to share her hard-won knowledge with an ever-growing number of female data scientists. She recently shared with us some sage advice for women entering or interested in advancing in the field.
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Three steps for conquering the last mile of analyticsPutting your analytical models into production can be the most difficult part of the analytics journey. It’s no surprise that this last mile of analytics – bringing models into deployment – is the hardest part of digital transformation initiatives for organizations to master, yet it’s the most crucial.
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As AI accelerates, focus on 'road' conditionsAI technology has made huge strides in a short amount of time and is ready for broader adoption. But as organizations accelerate their AI efforts, they need to take extra care, because as any police officer will tell you, even small potholes can cause problems for vehicles traveling at high speeds.
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AI in government: The path to adoption and deploymentThe government sector is lagging in AI adoption, but awareness of the importance of AI in the public sector is increasing. Our survey indicates that operational issues are requiring governments to turn their attention to AI projects as a way to address important public issues.
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From Apollo to AI: A new era of American explorationAs we celebrate the 50th anniversary of the Apollo 11 mission, what’s the next frontier for American Innovation? It’s available now, from our desks and waits for us to unlock its potential.
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The untapped potential in unstructured textText is the largest human-generated data source. It grows every day as we post on social media, interact with chatbots and digital assistants, send emails, conduct business online, generate reports and essentially document our daily thoughts and activities using computers and mobile devices.
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AI in manufacturing: New opportunities for IT and operationsAn AI survey reveals that leaders and early adopters in AI are making important advances and are identifying and expanding on what works as they use AI in more ways and more parts of their organizations.
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인공 지능의 인간미글로벌 문제를 해결하기 위해 인공 지능과 인간이 힘을 모으면 어떻게 될까?
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How AI and advanced analytics are impacting the financial services industryTop SAS experts weigh in on the topics that are keeping institutions up at night and fraudsters in a job.
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AI in banking: Survey reveals factors for successWhat do banking executives report about their experiences with AI? Where are they focusing today? What’s working? What are their plans for the future?
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Data lineage: Making artificial intelligence smarterLear how data lineage plays a vital role in understanding data, making it a foundational principle of AI.
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How to drill a better hole with analyticsFrom drilling holes to preventing health care fraud, learn about some of the new technologies SAS has patented with IoT and machine learning technologies.
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5가지 AI 기술인공 지능과 머신 러닝의 차이점을 알고 계십니까? 컴퓨터 비전이 일종의 AI 기술인 이유를 설명할 수 있습니까? 이 짤막한 설명서에서 그 해답을 확인해 보십시오.
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Shut the front door on insurance application fraud!Fraudsters love the ease of plying their trade over digital channels. Smart insurance companies are using data from those channels (device fingerprint, IP address, geolocation, etc.) coupled with analytics and machine learning to detect insurance application fraud perpetrated by agents, customers and fraud rings.
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
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.
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