In the last 50 years there are two things that have emerged in a technological world. First, applied mathematics has moved much more into numerical methods than in trying to solve problems analytically. The second thing that has emerged is that computing has both led and followed the numerical computing revolution. Python, amongst languages, is arguably a language with links to optimized code (such as C or Fortran) plus a language capable of a plethora of tasks, including scientific calculation, statistical modelling, network analysis, machine learning, language processing, and so forth. Johansson's book fits beautifully into a niche where serious science or other endeavour requires both some cookbook code and explanation of some basics.

As I walked into one of the warehouses run by the aptly named Quiet Logistics in a suburban town outside Boston, I instinctively lowered my voice to a whisper. The room's massive ceilings reverberated my voice and there was surprisingly no noisy work to drown it out. In front of me, a subset of the building's roughly 200 employees earning between 12-18 an hour carefully packaged trendy clothes, shoes, and jewelry into brand-specific boxes, all without a sound. "We were shocked at how calm our warehouses felt," Bruce Welty, the founder and chairman of Quiet, which handles the packaging and shipping of items purchased online, told me in a phone interview before my visit. Many of the products come from a growing class of ecommerce startups that favor the direct to consumer model over brick and mortar stores.

When it comes to artificial intelligence (AI) has made its way into many aspects of our lives, even into toys for kids like Anki's Cozmo which resembles a roboticized Ewok. But as things go, AI isn't just for devices, it's made and continues to make it's way into eCommerce and is out there working to determine what to sell to you, how you shop and ensure you have a good shopping experience. According to Gartner by 2020, 85% of customer interactions will be managed without a human and at the close of 2018, customer digital assistants will recognize customers by face and voice across channels. Investment-wise, in 2014 there were more than 300 million in venture capital invested in AI startups according to Bloomberg. Brands are on board and are using AI to build smarter platforms they hope will create a better online shopping experience for the consumer.

I am a data mining trainer and consultant. This book not only has good content, but it offers a 90 day license of software with which to rehearse the case study examples. My comments on the book will be accompanied by comments on the software. The book is the perfect fit for its intended audience. With the caution that certain readers will do better elsewhere, I think it is a great book.

A global study of 750 grocery decision-makers reveals key challenges in meeting customer expectations. Grocery retailers face many challenges and barriers to delivering on their customer experience promises of'any time, anywhere'. To understand these challenges, we commissioned a global survey to discover how grocery retail managers and directors feel about their customer experience delivery. The research also uncovered thoughts on how to overcome the hurdles of delivering the best customer experience. The findings are the result of interviews with 750 grocery managers and directors across the globe, in the UK, USA, Germany and France.

IBM Research is to collaborate with the Massachusetts Institute of Technology (MIT) to develop machine-vision systems. The new IBM-MIT Laboratory for Brain-inspired Multimedia Machine Comprehension's (BM3C) will work on the development of cognitive computing systems that can emulate the human ability to comprehend visual and audio inputs. BM3C will address technical challenges around both pattern recognition and prediction methods in the field of machine vision that are currently impossible for machines alone to accomplish. For example, online retailer Ocado has talked to Computing about the need for such systems in order to automate the packing of supermarket items for delivery so that potatoes are packed before tomatoes. The BMC3 collaboration will bring together brain, cognitive, and computer science specialists to conduct research in the field of unsupervised machine understanding of audio-visual streams of data, using insights from next-generation models of the brain to inform advances in machine vision.

Investors poured a record high 1.05B into artificial intelligence startups in Q2'16, and AI is already affecting more areas of our lives than many people realize. Even retail and e-commerce companies are increasingly integrating the technology. Recently there's been a rush of AI announcements and acquisitions by major retailers: Just this week, Etsy acquired Blackbird to enhance its search functionality through AI, followed the very next day by Amazon acquiring Angel.ai And earlier this month, e-commerce unicorn Houzz (see our full unicorn tracker here) announced a deep learning initiative to help users find and buy products by clicking on images. Using CB Insights data, we dove into the wide array of AI startups focused on retailers and e-commerce businesses, including AI-powered personal shopping apps, natural language processing and image recognition tools for shopping websites, predictive inventory allocation tools, and more.

Next-generation cognitive computing is rapidly changing how we live and work. Thousands of brands like 1-800-Flowers and Sesame Street are already using cognitive solutions like IBM Watson to redefine how they improve performance, customer service and revenue. Today's business challenges have never been more complex, and the critical insights that can help address these challenges are often buried in an avalanche of data. With cognitive computing, we are now able to unlock the value in ALL the data -- from internal, external and even publicly available sources -- available to a business. Much of this data was previously inaccessible as it existed in was unstructured (documents, emails, social media posts and images etc.), or was dispersed among any many systems and silos.

According to market research firm Forrester Research, more than 6% of jobs currently performed by human beings will be taken over by robots in the next five years. We all knew the day was coming when robots would become more intelligent and start replacing human beings at the workplace, especially in jobs that need to follow a set pattern or jobs that are repetitive in nature. But that day seems closer than ever with retailers like Amazon (AMZN) and Wal-Mart (WMT) seemingly on the cusp of using automation on a large scale. For a company like Amazon, automation is nothing new. They already have robots manning their warehouses, and the company has been working for a while testing drone deliveries in the U.K. The U.S. government refused permission for drone testing, so Amazon is doing it across the pond.

The media has declared chatbots the digital version of the little black dress: a technology staple that every brand must now have and every payment type must now commerce-enable. Technology enthusiasts draw pictures on whiteboards showing bots as the new king of the stack, out-stacking the last great stack -- apps, which sit on top of the next-to-last great stack -- mobile operating systems, which sit on top of the next-to-next-to-last great stack -- the web. VCs tout bots as commerce's next big frontier, one that can make the notion of contextual, conversational commerce real inside of the app where consumers now spend 75 percent of their time: messaging. The big bet is that bots will make it possible for brands to indulge the every digital whim of this group of consumers without them ever having to leave their digital home away from home. Facebook Messenger's announcement last week that 30,000 bots would soon be payment-enabled for the 900 million people who hang inside of its messaging ecosystem only stoked that fire.