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Living On the Edge: Extracting Ultimate Value from Your IoT Data

In this contributed article, Jerry Baulier, Vice President of IOT R&D at SAS describes IoT and streaming analytics and the potential lifesaving benefits from that real-time data. Streaming data allows you to assemble meaning from IoT data when you need it, both in real time and historically to identify trends in cross-sensor analysis. By processing data on the edge, organizations, individuals and communities are benefiting from the insights offered by real-time data.

Businesses Struggle to Meet GDPR Deadline as Data Privacy Gains Public Support

In this contributed article, Todd Wright, Global Lead GDPR Solutions at SAS, discusses the impact of GDPR and its compliance deadline which is quickly coming up on May 25. Specifically, he focuses on how businesses struggle to meet the GDPR deadline as data privacy gains public support.

Survey: Only 7% of Businesses GDPR-compliant as Deadline Looms, Data Privacy Gains Prominence

In February, SAS conducted a global survey of 183 business people in a wide variety of industries who have a role in preparing their organizations for GDPR. The survey highlights the biggest challenges and opportunities organizations face on the road to GDPR compliance.

The Doctor Is In: Consumers are More Comfortable with AI in Healthcare than Other Industries, Per a SAS Survey

While the buzz around artificial intelligence (AI) can seem ominous, consumers are surprisingly comfortable with the technology in healthcare. A recent survey conducted by SAS, a leader in analytics, found that when presented with a variety of real-world AI scenarios, a majority of people were at ease with AI in healthcare, and more comfortable with AI in healthcare settings than banking or retail. Despite consumer comfort with AI in the medical industry, the SAS survey of 500 Americans found that a lack of human interaction was the top reason respondents cited for feeling uncomfortable with the technology.

Interview: Todd Wright, Senior Product Marketing Manager, Data Management at SAS

I recently caught up with Todd Wright, Senior Product Marketing Manager, Data Management at SAS, to discuss GDPR, the first update to the European privacy and protection laws in 23 years. According to Todd, GDPR is being taken very serious by regulators, to the point that they are considering data protection and privacy as a human rights issue. Data on minors, medical records, sexual orientation, race, age, and weight will be some of the top concerns, as they can all be considered areas that could form a bias towards an individual when processing data.

Best Practices Report: The Power of Operationalized Analytics

The pace of business continues to increase. And the power of big data and analytics is growing. But it’s not enough to just analyze this data anymore. According to a new TDWI Best Practices Report, sponsored by SAS, businesses also need to take action on this data. Read on to find out how businesses can better operationalize their analytics and derive value from their data. 

Business Analytics are Helping Companies Push the Envelope & Drive Innovation

These days, data and business analytics are the catalysts allowing many companies to push the envelope. A new MITSloan Management Review Research Report, sponsored by SAS, explores analytics as a source of business innovation, as well as how this increased ability to innovate is benefitting a spectrum of industries.

New SAS® Data Preparation Gets Big Data Ready for Analysis

With 2.5 quintillion bytes of data being created every day, organizations need better ways to prepare it for analysis. Analytics leader SAS is now offering SAS® Data Preparation to provide analytics professionals and business users an interactive, real-time self-service application that will ease the burden of readying data for analysis.

Big(ger) Data is Better

In this contributed article, Fiona McNeill, Global Product Marketing Manager at SAS, describes how Big Data is changing lives. “The data isn’t different than what organizations had before, albeit some new sources are now accessible to many. The challenge is that there is a lot more of it, and it’s incoming at a greater pace. The enormous amount of data can make it time-consuming to compute a calculation or pull a report. Big data requires more horsepower and optimized analytics computing.”

10 Tips for Building Effective Machine Learning Models

In this contributed article, Wayne Thompson, Chief Data Scientist at SAS, provides 10 tips for organizations who want to use machine learning more effectively. Machine learning continues to gain headway, with more organizations and industries adopting the technology to do things like optimize operations, improve inventory forecasting and anticipate customer demand.