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Recent Analytics Insights
- IoT in healthcare: Unlocking true, value-based careGiven the potential of IoT – and the challenges of already overburdened healthcare systems around the world – we can’t afford not to integrate IoT in healthcare.
- Key questions to kick off your data analytics projectsThere’s no single blueprint for starting a data analytics project. Technology expert Phil Simon suggests considering these ten questions as a preliminary guide.
- 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.
- 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.
- 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.
- 大和證券活用SAS AI科技 強化營業提案能力商品購買率提升2.7倍證券EBM更上一層樓。日本大和證券為了活用AI等科技強化提案能力並提升業務效率，設立了AI推動處。另外透過活用SAS系統，實現了根據客戶分析結果提供業務員最佳行動方案。
- 您的AI還在沙盒裡嗎？ 那些說已獲AI成效的企業做了什麼？人工智慧(Artificial Intelligence, AI)的發展持續擴增經濟型態，舉凡企業、政府與各新創公司無不趨之若鶩，宣示插旗。在2018年7月，一份國際調查報告 (註) 中，過半(51%) AI早期採用者的組織表示部署 AI 「獲得實質成效」，79%認為「分析技術」在其中扮演「重大」角色。
- Meet the data scientist: Kristin CarneyWhen Kristin Carney graduated with a BS in mathematics, she wasn't sure what she wanted to do with her degree. That’s when she began researching data science.
- Meet the data scientist: Daymond LingDaymond Ling believes the right personal traits are more important than technical skills when it comes to being a successful data scientist.
- Meet the data scientist: Colin NugterenData scientist and CAO Colin Nugteren says while every day is different, one thing remains the same. He ends each day with SAS® Visual Analytics.
- 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.
- 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.
- 2018年技術趨勢的兩大共性也許在2018年，我們將不再只把AI視為「人工智慧(Artificial Intelligence)」，而將它作為一種「輔助資訊(Assistive Information)」技術。
- Keeping an open mind about open analyticsSome of the smartest data science teams are using SAS alongside open source analytics. Find out how you can use both and deploy all models consistently.
- Proactive detection – A new approach to counter terrorTo counter terror, investigative teams can better utilize the data they already have by applying a fresh approach with these steps to proactive detection.
- Artificial intelligence, machine learning, deep learning and moreArtificial intelligence, machine learning and deep learning are set to change the way we live and work. How do they relate and how are they changing our world?
- Using big data to predict suicide risk among Canadian youthSuicide is the second leading cause of death among youth in Canada. Here's how big data and analytics can be used to help identify at-risk teens.
- Supporting indigenous communities with analyticsThough indigenous women are a small part of Canada's population, they account for a disproportionately large number of Canada's murder victims. Now, big data and analytics are being used to help improve outcomes.
- Machine learning for beginners and beyondWhether you’re an experienced data scientist or a machine learning beginner, you’ll appreciate these 10 tips for getting started with machine learning.
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