Descartes Labs has built a supercomputer in the cloud that currently ingests 5 terabytes of near real-time geospatial data per day. As we grow our team, we need experienced technical leaders to help us coordinate efforts as we build our forecasting platform. An ideal candidate will be both an active individual contributor to the team but also experienced in managing complex technical projects.

Machine Learning is no longer a thing of the future. It's here now, and SAP is putting it in your hands. SAP Clea is a revolutionary new machine learning-enabled intelligence that allows new levels of automation and new ways of doing business. SAP systems touch more than 70 percent of the world's business transactions. Incorporating Artificial Intelligence and Machine Learning into enterprise software opens the opportunity to simplify employees' everyday lives and to grow your business.

Automation in the workplace has been one of the looming existential threats to American workers for years now. And with each new study published, the fear of robots, machines, and artificial intelligence coming to take our jobs ticks higher. But a new report from McKinsey finds that the future of work and automation isn't quite the zero-sum game when it comes to jobs as some perceive. Right now, 51% of job activities could be automated with "currently demonstrated" technology, the McKinsey report says. The distinction is noteworthy: McKinsey isn't saying half of all jobs can be automated with existing technology, but rather job tasks.

Now that many executives are finding measurable results from their Big Data initiatives, they are looking ahead and making decisions about investments in emerging capabilities such as artificial intelligence and machine learning. Executives of the nation's biggest corporations fear that major disruption is on the horizon. This is a central finding of the 2017 Big Data Executive Survey from NewVantage Partners, which tracks the views of senior corporate executives on disruptive capabilities, ranging from Big Data to artificial intelligence. According to the fifth annual survey, which was released this month, nearly half of senior executives surveyed -- a remarkable 46.6% -- see disruptive change coming fast, with many fearing that their companies are at significant risk of disruption or displacement. Survey respondents consisted of corporate business leaders (CEO/president), data leaders (chief data officer), technology leaders (chief information officer), analytics leaders (chief analytics officer), and marketing leaders (chief marketing officer).

Artificial Intelligence" Texas Hold'em Poker tournament, and a machine named Libratus is trouncing a quartet of professional human players. Should the machine maintain its substantial lead--currently at $701,242--it will be considered a major milestone in the history of AI. Given the early results, it appears that we'll soon be able to add Heads-Up, No-Limit Texas Hold'em poker (HUNL) to the list of games where AI has surpassed the best humans--a growing list that includes Othello, chess, checkers, Jeopardy!, and as we witnessed last year, Go. Unlike chess and Go, however, this popular version of poker involves bluffing, hidden cards, and imperfect information, which machines find notoriously difficult to handle. Computer scientists say HUNL represents the "last frontier" of game solving, signifying a milestone in the development of AI--and an achievement that would represent a major step towards more human-like intelligence. Google's AlphaGo has stomped to victory for a fourth time against Go world champion Lee Sedol. Artificial Intelligence" tournament began on January 11th at Rivers Casino in Pittsburgh.

Technology is evolving at warp speed, with an estimated 5 billion connected devices creating a gargantuan network of data. AI (Artificial Intelligence) is certainly the next big thing. Further, the ability to store huge volumes of data on cloud along with easier access to intelligent algorithms is set to make AI the next big wave in business innovation. AI for CRM is crafted to help businesses become smarter and more predictive about their customers. Everyone and almost everything is connected, a never before phenomenon in the history of mankind!

Part two of our series "A day in the life of a city" looks at the ways in which offices are changing and how cities are coping with the ever-growing problem of pollution. The morning rush hour is over and, if you live in a city in the developed world, you are likely to be settling down at your desk for the next eight or so hours. However, the office block and skyscraper, which have been part of our urban landscape since the end of the 19th Century, may also soon become surplus to requirements. Urban architect Anthony Townsend thinks cities need more creative approaches to how we work and is keen to reclaim the streets by creating pop-up workspaces in the parks and plazas of the financial district in New York. "Before the New York Stock Exchange, traders met under a tree on Wall Street to buy and sell shares. It is only in the last 50 years that we have taken that creative energy and sucked it up into office buildings and separated it from public space," he said.

Support Vector Machine has become an extremely popular algorithm. In this post I try to give a simple explanation for how it works and give a few examples using the the Python Scikits libraries. All code is available on Github. I'll have another post on the details of using Scikits and Sklearn. SVM is a supervised machine learning algorithm which can be used for classification or regression problems.

A survey of business leaders has found Australian companies are the worst prepared for the arrival of artificial intelligence (AI) technologies among selected major economies, despite spending the second-largest amount of money on automation. Independent research agency Vanson Bourne was commissioned by IT company Infosys (which as a seller of an AI platform has a vested interest in promoting such technology) to poll 1,600 business leaders of companies with more than 1,000 staff and at least US$500m in annual revenue across Australia, China, the United States, Germany, France, India and the UK. According to the survey, released at the World Economic Forum last week, major Australian businesses invested an average of $7.9m last year in AI, behind only the US, but placed last in both the skills required for AI takeup and in plans to integrate AI. The Infosys Australia regional head, Andrew Groth, told the Guardian the survey demonstrates that Australia risks becoming uncompetitive. "The challenge is the skills situation," he said.

Quoc Le, a software engineer at Google Brain, is one such human. Google Brain focuses on "deep learning," a part of artificial intelligence. Think of it as a sophisticated type of machine learning, which is the science of getting computers to learn from data. Deep learning uses multiple layers of algorithms, called neural networks, to process images, text and sentiments quickly and efficiently. The idea is for machines to eventually be able to make decisions as humans do.