Recent Articles
Striking a Balance: Big Data Debt and Big Data Value
By Tomer Shiran–In technology, the concept of “technical debt” is used to describe the obligation side of a trade-off, usually when something is built “fast” rather than being built “right.” Just as with personal or corporate debt, a certain amount of technical debt can be very useful. For example, it might be smart to introduce […]
The Next Data Revolution: Intelligent Real-Time Decisions
By Ion Stoica — Over the past decade, big data analysis and applications have revolutionized practices in business and science. They enabled new businesses (e.g., Facebook, Netflix), to disrupt existing industries (e.g., Airbnb, Uber), and accelerated scientific discovery (genomics, astronomy, biology). Today, we are seeing glimpses of the next revolution in data and computation, driven […]
Four Ways Virtual Reality Will Change Big Data
By Paul Sciglar -We are living in an age of big data. In this era of ever-increasing information, we’re collecting data at an astonishing rate, but not necessarily understanding it. At present, big data is an unwieldy beast — one that is often unorganized and uncommonly complicated to digest. Traditional bar graphs and pie charts […]
Five Major Tech Trends
by Shellye Archambeau. As we draw closer to the end of 2016, it is important that we take a moment to look back and reflect on all of the ways technology has inspired us, and transformed the way we live and do work. As technology becomes more pervasive in our lives, we increasingly look for […]
BMW signs on to develop in-car AI and IoT services with IBM’s Watson
Posted Dec 15, 2016 by Ingrid Lunden (@ingridlunden) As BMW continues to weld a position for itself in the next generation of connected and autonomous car technology, it’s signed up for one more partnership that focuses on the data side of the equation. Today, IBM announced that it would be working with BMW on R&D […]
Why You Need a Data Science Platform
By Tim Rizzi Advanced analytics and predictive modeling are now essential to businesses looking to optimize decision making and deliver value to customers. But even as organizations invest more resources in big data and data science, executives are not yet realizing their anticipated return on investment. The reason is a less-than-ideal data science workflow where […]
Wal-Mart: IoT It could make a huge difference with improvement of customer experience.
Kim S. Nash The world’s biggest corporation in January combined its corporate information-technology and e-commerce-systems groups into a single unit called Walmart Technology, hoping to move faster to build technology to blend physical and online shopping. The company spends more than $10 billion a year on IT and in August signed a $3.3 billion deal […]
Baidu; Deep Bench Optimization for Deep Learning
At the O’Reilly Artificial Intelligence conference on September 29, 2016, Baidu Research announced DeepBench, an open source benchmarking tool for evaluating the performance of deep learning operations on different hardware platforms. Greg Diamos and Sharan Narang of Baidu Research’s Silicon Valley AI Lab talked at the conference about the motivation for developing the benchmark and […]
Self-driving Cars Will Push Chip Technology and Hardware Systems
Dean Takahashi, Venture Beat Google has been a leader in the nascent field of self-driving cars. The technology for those cars will not only push the limits of artificial intelligence and machine vision software, it will also push semiconductor chip technology and hardware systems. Daniel Rosenband, hardware engineer in the self-driving cars division at Google, […]
Applications of Deep Learning
Syed Danish Ali This post highlights a number of important applications found for deep learning so far. It is well known that 80% of data is unstructured. Unstructured data is the messy stuff every quantitative analyst tries to traditionally stay away from. It can include images of accidents, text notes of loss adjusters, social media […]
