451 Research’s latest Voice of the Enterprise: Internet of Things (IoT) Organizational Dynamics survey of nearly 1,000 enterprise IT buyers worldwide reveals that 71% of enterprises are gathering data for IoT initiatives today. This is a three percentage point increase from the previous quarter’s Voice of the Enterprise: IoT Workloads and Key Projects survey.
In this TEDx presentatin, Reuben Vendeventer’s talk is pitched towards students, but it’s useful for business people too. The value in Vendeventer’s talk is his orientation towards data and the information age. He conceptualizes our knowledge of DNA as data points. This kind of reorientation is a solid start for any learner’s relationship with the data behind business intelligence.
In this TEDxVancouver presentation, Jer Thorp’s discussion is stellar because it frames the story of how data can tell our stories. His project, openpaths.cc, tracked (willing) participants’ iPhone location data, his own included. His take on his own data’s story—matching each location with his career journey.
Emerging Technologies Like Advanced Analytics, Machine Learning and IoT Help Revolutionize Public Sector Agencies
Advanced analytics and other emerging technologies are revolutionizing the way governments and public service agencies are trying to address citizen demands, helping to overcome persistent challenges such as regulatory compliance, outdated legacy IT infrastructures and organizational cultures, according to a new research report from Accenture.
The “data” industry continues on its upward trajectory into 2017 and for the foreseeable future. Our friends over at Indeed (we’re the world’s largest job search engine) provides a general sense for how the market for data related jobs has shifted.
I don’t usually get excited about a new book for the field in which I’ve been deeply involved for quite a long time, but a timely and useful new resource just came out that provided me much anticipation. “Deep Learning” by three experts in the field – Ian Goodfellow, Yoshua Bengio, and Aaron Courville is destined to considered the AI-bible moving forward.
In this video from SC16, Intel demonstrates how Altera FPGAs can accelerate Machine Learning applications with greater power efficiency. “The demo was put together using OpenCL design tools and then compiled to FPGA. From an end-user perspective, they tied it together using Intel MKL-DNN with CAFFE on top of that. This week, Intel announced the DLIA Deep Learning Inference Accelerator that brings the whole solution together in a box.”
MapR, the company behind the Converged Data Platform, is hosting two very timely upcoming big data events in Southern California. If you find yourself in Los Angeles, specifically Newport Beach in Orange County, and/or Santa Monica, please consider registering now.
If basketball is of more interest to you than business intelligence, you’ll like this TED talk by Rajiv Maheswaran. If you want pithy examples of what algorithms and machine learning are, you’ll like Maheswaran’s talk even more. Algorithms are necessary to the functioning of any BI software, and machine learning has been called “the new BI.” Googling those terms is useful, but a little dull.
In the TEDMED talk below, Thomas Goetz looks at medical data, making a bold call to redesign it and get more insight from it. Your medical chart: it’s hard to access, impossible to read — and full of information that could make you healthier if you just knew how to use it.