AI INSIGHTS
Expert insights into artificial intelligence, machine learning, and beyond
Recent AI Insights
- AI anxiety: Calm in the face of changeAI anxiety is no joke. Whether you fear jobs becoming obsolete, information being distorted or simply missing out, understanding AI anxiety can help you conquer it.
- 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.
- Harnessing synthetic data to fuel AI breakthroughsLearn why synthetic data is vital for data-hungry AI initiatives, how businesses use it to unlock growth, and how it can help address ethical challenges.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Engage all areas of the marketing brain to improve the CXIn an increasingly competitive marketplace, and in recent months, in particular, digital channels and capabilities have been critical to success. Organisations need to engage all three areas of the corporate brain: customer intelligence, human intelligence and artificial intelligence.
- AI is a practical tool to help Marketers gain insightsMarketers are not scientists, and technologies like AI have become more important to help Marketers understand customer data and insights. With AI, Marketers are able to focus on the bigger picture - improving experiences for customers and driving revenue for the business.
- The impact of the CMO in the coming yearsThe past couple of months for CMOs have seen them thrown into the fire and stress-tested to keep not only the business alive, but also their relationship with their consumers. With this climate, the future role and impact of CMOs has irrevocably changed.
- AI optimises campaign performance at WWF and drives ROIIn its mission to advocate for endangered species and for the environment, the World Wide Fund faces challenges familiar to all brands. By optimising its marketing through the smart use of machine learning and AI the WWF was able to address the issues of cost and purpose successfully.
- 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.
- 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.
- 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.
- 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.
- 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.
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.
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