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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.
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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。
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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.
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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.
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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.
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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.
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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。
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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.
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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.
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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.
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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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資訊超載時代，何不雇個智慧書僮為你擴增溝通力!資訊超載已成這世代的常態，社群與自媒體平台更是加速每位消費者的訊息產出量，如何在漫天的資訊裡利用「文字分析」敏銳地挖掘並解讀顧客及其社群的喜好、觀點，進一步掌握群體的脈動，成為近日企業面對市場溝通策略的新顯學。
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Concussion: Journalist crunches the numbers and breaks a scandalHow Pulitzer Prize-nominated journalist Alan Schwarz used his stats background to achieve the most remarkable feat in sports journalism history.
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The University of Alabama makes better decisions through education analyticsAt the University of Alabama, the Office of Institutional Research and Assessments use analytics and data visualizations to uncover better student outcomes.
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People analytics: Make smarter decisionsWith deep insights gained from people analytics, HR leaders can become trusted, strategic advisers to hiring managers and the executive team.
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What’s powering the digital economy? The analytics economy. From the digital economy to the app economy, technology is changing the way we do business and manage resources. Find out how the analytics economy can help you make the most of your data resources.
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Analytics tackles the scourge of human traffickingVictims of human trafficking are largely invisible. And they're all around us. Now organizations are applying analytics to combat the problem -- and are achieving initial success.
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Women in analytics: Katherine Sanborn, Kellogg CompanyA recent college graduate who mentors and coaches incoming interns shares her advice for the newest generation of analytics professionals.
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體驗SAS文字分析的樂趣：IALP論文集的質化分析
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5 questions about open analytics Learn how one analytics team uses a combination of open source and enterprise analytics to find innovative solutions to complex problems.
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#Data4Good: Treating cancer, one patient at a timeDrawing on her experience as a cancer patient, Susan Weidner devotes her career to helping oncologists identify personalized treatments based on massive amounts of data.
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Better alignment of incentives: Helping cure data analytics in health careHealth care organizations are beginning to use analytics to make better decisions. Learn how better incentives can make the process work faster.
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Could APIs provide advanced analytics for the masses?Find out how APIs could make advanced analytics more prevalent and open up entire new markets to using the predictive capabilities of analytics.
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Five ways to approach analytics differentlyGo beyond the conventional, the insane and the dabbling. Here are 5 ways to rethink how you do analytics.
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Stopping the Zika virus: The potential of big data, analyticsHow do you stop global outbreaks? The answer may be in the data about the disease and how it spreads.
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Stop guessing and try data-driven business decisions insteadHere's some advice from TWDI's David Stodder on how to use visual analytics for data-driven business decisions.
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How to find and equip the citizen data scientists in your midstCitizen data scientists are challenging the status quo and looking at data in new ways. Learn how to recognize, reward and train these analytical minds to benefit the business.
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How Walmart makes data work for its customersTips from the world's largest retailer on building an infrastructure that makes data work for its 240 million customers a week.
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A framework for analytics governanceFind out why governance is the critical last mile for analytics – and learn what you can do to make sure all your analytics projects are accurate, aligned and worthwhile.
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Tips for hiring and managing data scientistsIs it time to hire a data scientist? What skills should you look for? John Taylor leads a team of data scientists and shares his top tips in this short video.
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Turning the analytical talent gap into an analytical talent dividendHow important is analytical talent to your organization? If you’re aiming to become data-driven and turn data into insights, make it a top priority.
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Introduction to machine learning: Five things the quants wish we knewMachine learning is gaining momentum thanks to bigger, more complex data sets. How does it work? Kimberly Nevala from SAS Best Practices explains what it is by focusing on what it isn't.
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Tracking down answers to your questions about data scientistsDo you need a data scientist? Want to be a data scientist, or improve the skills you already have? Check out our Insights series.
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Meet the data scientist: Steve EinbenderFind out how Steve Einbender lobbied his analytics skills into a data scientist gig at Home Depot and launched the company’s Advanced Analytics Center of Excellence.
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Hiring? We have the data scientist interview questions you needUse these data scientist interview questions to recruit someone with a range technology skills and a knack for communicating complex subjects to a variety of audiences.
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Meet the data scientist: Victor FangLike many in Silicon Valley, Victor Fang has been a data scientist since before the title was coined. Read this analytical professional's Q&A.
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7 steps for executing a successful data science strategyGet tips from TDWI for making your foray into data science a success.
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Preparing a new generation for leadership in a big data worldWords of wisdom from university leader Dr. Michael Rappa on the role data scientists play, tips for hiring them and how to make the most of this career path.
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Meet the data scientist: Manuel David GarciaWhile he did study statistics, operations research and relational marketing, Data Scientist Manuel-David Garcia's "real school" came from on-the-job-training.
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Meet the data scientist: Alex HerringtonAlex Herrington decided he wanted a career in data because he liked the idea of using numbers to figure out things. Now he’s a data scientist at a US retailer.
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How to get the most value from your data scientistsHiring data scientists isn’t enough. This excerpt from an MIT Sloan report offers advice on how to best manage these analytic professionals.
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Lessons from the track
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Industrialize your analytics today
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Analytics drives innovation
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From lab to life
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10 design elements to consider before building an analytical model
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Why your brain needs data visualizationData visualization software gives you fast answers to your toughest question. In just minutes or seconds. On the fly. Find out how.
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10 tips for analytics successDo some crystal-ball gazing with Thornton May, a futurist with some bright ideas on how you and your organization can succeed in all your analytics endeavors.
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The advanatges of an analytics cultureGen. Colin Powell and SAS experts focus on the topic of culture and how to change an organization’s DNA to meet the challenges of this brave, new analytics world.
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What coaching a new driver and developing an analytics culture have in commonEight lessons that apply equally to nurturing an organization's analytics culture and instructing a young driver how to safely navigate the open road.
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Skip the fire drillsStop reinventing the wheel each time someone in your organization rings an alarm bell. Think people, process, technology and culture if you want to create repeatable models.
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Amplify your data career with analyticsIf you're interested in a career in analytics, you'll need to consider if you have the temperament to match. Discover the questions you need to ask yourself, the first steps to set you on the right path and obstacles to avoid.
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How to create your own organizational think tank Analytics today is about looking to the future for answers. Two retail analytics leaders share their ideas for creating a smart team of diverse experts to shape your strategic focus.
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Educating informed “intuitants"Today’s knowledge worker and future senior leader should be an “informed intuitant,” says Dr. Jay Liebowitz of the University of Maryland University College. Read more about a skill set that combines analytics and intuition – and how you can better develop it.
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3 building blocks that bring analytics from the tech business to the insights businessThere are huge opportunities for companies committed to evolving their analytics teams into business drivers. If that's your goal, consider these points.
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Data visualization: A wise investment in your big data futureData visualization technologies can help the practice of data-driven decision making really take hold. But putting data visualization software in the hands of business users? Is it crazy – or crazy smart?
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UPS Loves LogisticsEver thought about what backs the intricate sorting, delivery and route process behind your receipt of a UPS package? See how the package delivery company moves from descriptive to predictive to prescriptive analytics in this video.
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Amplify your data career with analytics
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