IoT fire is catching up in every industry. It is changing the businesses drastically than we imagined. This blog covers some of the aspects that will fuel the realization of IoT and brings businesses into a new territory. Thing – refers to devices, sensor, software and everything else. Billions of Things are already connected to the Internet.

With changes in ecommerce taking place at a faster rate than ever before, two major shifts in consumer behavior have impacted retailers in a way that they cannot ignore. The first is the increasing importance placed on consumer reviews. This trend has grown in significance, with one survey stating that 88 percent of consumers trust online reviews as much as a personal recommendation. Google itself is paying more attention to reviews, with industry analysts noting that consumer opinions are impacting page ranking more than ever before. The second shift is around retailers who are using semantic search technology to power their search bar.

As far back as 3,500 years ago ancient Egyptian doctors were performing invasive surgeries. Even though our tools and knowledge have improved drastically over time, until very recently surgery was still a manual task for human hands. When it came out about 15 years ago, Intuitive Surgical's da Vinci surgical robot was a major innovation. The da Vinci robot helps surgeons be more precise and dexterous and to remove natural hand tremors during surgery. In the years since da Vinci first came out, many other surgical robots have arrived.

AMD, Dell EMC, Google, Hewlett Packard Enterprise, IBM, Mellanox Technologies, Micron, NVIDIA and Xilinx announced a new, open specification that can increase datacenter server performance by up to 10 times. The new standard is called Open Coherent Accelerator Processor Interface (OpenCAPI). It is an open consortium to provide a high bandwidth, low latency open interface design specification. It will enable corporate and cloud data centers to speed up big data, machine learning, analytics, and other emerging workloads. Servers and related products based on the new standard are expected in the second half of 2017. Capable of 25Gbits per second data rate, OpenCAPI outperforms the current PCIe specification which offers a maximum data transfer rate of 16Gbits per second.

Today, artificial intelligence (AI) is rapidly emerging out of R&D labs and into the mainstream. Smart technologies are changing every aspect of our lives, from the way we work, to health care, education, travel, and transportation. One example: the self-driving cars produced by Google and Tesla. There are also many successful applications in the computer vision space. But what about the non-vision applications of AI: that is, areas including non-spatial data--most importantly, text and numbers?

We review the Metropolis algorithm -- a simple Markov Chain Monte Carlo (MCMC) sampling method -- and its application to estimating posteriors in Bayesian statistics. A simple python example is provided. Follow @efavdb Follow us on twitter for new submission alerts! One of the central aims of statistics is to identify good methods for fitting models to data. Notice that if we could solve for this function, we would be able to identify which parameter values are most likely -- those that are good candidates for a fit.

The full code is available as an IPython notebook on github. Assuming a multivariate normal distribution for the residuals in linear regression allows us to construct test statistics and therefore specify uncertainty in our fits. A t-test judges the explanatory power of a predictor in isolation, although the standard error that appears in the calculation of the t-statistic is a function of the other predictors in the model. On the other hand, an F-test is a global test that judges the explanatory power of all the predictors together, and we've seen that parsimony in choosing predictors can improve the quality of the overall regression. We've also seen that multicollinearity can throw off the results of individual t-tests as well as obscure the interpretation of the signs of the fitted coefficients. A symptom of multicollinearity is when none of the individual coefficients are significant but the overall F-test is significant.

Does your company suffer from corporate amnesia? Palo Alto, California-based startup Maana has developed a cure for what ails organizations everywhere: Knowledge of how to perform a certain task or make a specific decision walks out the door with employees migrating to another job or retiring. Even when this tacit knowledge is captured, codified and stored in a database, it may not be accessible to the people who need it, when they need it. "We patented a unique and novel way of indexing and organizing the knowledge that is locked in data silos across the organization," says founder and CEO Babur Ozden. Today, Maana released a new version of its AI-driven platform.

Forget everything you know about Microsoft's Tay chatbot. It was a disaster, it didn't work, the researchers behind it have likely all been fired or reassigned. In truth, it was a test of the Microsoft natural language processing algorithms, and it didn't pass the test. Plus, Tay was never intended as something that proved Microsoft's prowess with A.I. It was a mere consumer test, a minimal entry in their grand A.I. scheme. You know what the company is really planning to do with A.I.? Look no further than the Microsoft Office MyAnalytics dashboard, a free add-on for companies that use the advanced E5 plan for Office 365.

Like so much in Britain, you can credit the weather for this. Ocado has rolled out AI using Google's open-source TensorFlow to improve service at its customer call centre. The online food retailer took six months to build and install a system based on machine learning., using Python, C, Kubernetes on Google Compute with TensorFlow. The cloud-based AI will do the heavy lifting for inbound customer emails, opening and scanning for key words and context, before prioritising and forwarding them. On an ordinary day the system handles 2000 messages and double that at busy times such as Christmas.