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How Big Data and Behavior Prediction are Shaping Automotive Dealerships

In this special guest feature, Johannes Gnauck, CEO and Co-Founder of automotiveMastermind, discusses how big data and behavior prediction are shaping automotive dealerships. Through the use of big data and behavioral analytics, it’s possible to precisely target who is ready to buy and create personalized, micro-marketing campaigns designed to increase the probability of completing a sale.

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.

The Big Data Revolution: How Data Can Solve Commercial and Public Health Problems

In this contributed article, freelance human Avery Phillips discusses how big data is the key to solving many problems in both the marketplace and in public health. While consumers may not be aware of it, big data guides most decisions today. She looks at some examples of how leaders of organizations across the globe are leveraging big data to make an impact in their respective sectors.

Big Data Meets HPC – Exploiting HPC Technologies for Accelerating Big Data Processing

DK Panda from Ohio State University gave this talk at the Stanford HPC Conference. “This talk will provide an overview of challenges in accelerating Hadoop, Spark and Memcached on modern HPC clusters. An overview of RDMA-based designs for Hadoop (HDFS, MapReduce, RPC and HBase), Spark, Memcached, Swift, and Kafka using native RDMA support for InfiniBand and RoCE will be presented.”

Analytics Development Life Cycle: Pangea is Panacea

Sai Prakash from HCL America gave this talk at the Stanford HPC Conference. “In this short talk we shall present an analytics workbench perspective (Pangea) that brings entire ADLC under single umbrella thus enabling collaboration, shrinking overall cycle time, easing model deployment efforts and allowing model monitoring. Actionable insights and visualizations are facilitated though service integration interfaces.”

insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning (Part 4)

The insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning white paper explores how AI, machine learning and deep learning are transforming the retail industry in many positive directions. As artificial neural networks become more and more efficient, and as graphics processing units (GPUs) get more and more powerful, so does their influence on retail.

Global Tech Jam Event for Smart Cities returns to Portland in June

The Global Tech Jam conference is coming up June 20-22 in Portland, Oregon. “This symposium will provide a leading venue for the presentation of the highest-quality original research, groundbreaking ideas, and compelling insights on future trends in Smart City Technology and Deployment.”

HIMSS 2018: Perspectives on Health Industry use of AI and Machine Learning

The 2018 Healthcare Information and Management Systems Society (HIMSS) Conference & Exhibition, March 5–9, 2018 in Las Vegas, is a big deal for IT related themes centered around the health information industry. We put together a number of compelling commentaries below from a short list of important health information industry vendors. The the focus of the perspectives align with insideBIGDATA’s primary areas of big data, data science, machine learning, AI and deep learning. Enjoy the comments and the conference!

Opportunities for Big Data to Improve Energy Usage Across Industries

In this contributed article, technology writer and blogger Kayla Matthews discusses how a digital transformation is what the energy industry is currently seeing, which will provide an unprecedented amount of information and intel. This shift can, presumably, be used to assess and manage energy usage as well as the operation of large-scale energy providers.

Impacts of Artificial Intelligence and Higher Education’s Response

Northeastern University and Gallup just released a fascinating new survey that gauges public perceptions about artificial intelligence (AI) titled, “Optimism and Anxiety: Views on the Impacts of Artificial Intelligence and Higher Education’s Response.” Taken together, the results appear to be a wake-up call for higher education. Colleges and universities will have to adapt by designing a 21st century curriculum that empowers humans to become “robot-proof.”