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Recent Analytics Insights
- Real World AI Turning business problems into prediction problems—and solving themThe popular vision of the future of artificial intelligence—autonomous machines mimicking human behavior and thought, becoming sentient beings—may be in the cards, but that’s far from certain and, for business today this vision is less relevant.
- A New Year for Data ScientistsFive resolutions data science professionals should make—and keep—for 2019
- How to Make Networking Your Advantage - Women in AnalyticsTalk to most successful women in analytics and many will agree how important their network has been to their careers. For most, their network helped land their first job others will tell you that it was their network that helped guide them into a career in analytics.
- AI, Analytics and Ethics: Canada and the WorldThe perception of Canadian success in the application of artificial intelligence trails that of many other nations, according to a Forbes Insight survey
- 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.
- Visualization and AnalyticsSimplify, experiment and communicate to bring the most out of your analytics program. Learn how in our free on-demand Webcast
- 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.
- Analytics: It’s a Woman’s WorldIn at least one STEM field, women are as well-represented as men
- 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.
- Back to schoolSAS Canada redoubles its focus on academia to help close the analytics skills gap
- Open Source, Open Data and Open GovernmentThey are not the same thing. But the three are interdependent, both philosophically and technologically.
- 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.
- Using Advanced Analytics to Protect At-Risk Children Study after study has demonstrated the correlation between contact and interaction with child protective services and later quality-of-life outcomes. And on too many occasions, at-risk youth become tragic statistics before they reach adulthood.
- DisasterTech HackathonSAS is proud to be part of the Data for Good movement, which encourages using data in meaningful ways to solve humanitarian issues around poverty, health, human rights, education and the environment.
- 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.
- Fraud detection and machine learning: What you need to knowFrom integrating throughout operations to maintaining customer service, machine learning – supervised and unsupervised – is a critical part of the fraud detection toolkit. Here’s what you’ll need to consider to get started.
- 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.
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