SAN FRANCISCO--(BUSINESS WIRE)--Executives previously from IBM Watson, GE Digital, Infosys, and MicroStrategy announced today that they have joined forces with TPG Growth to launch Noodle Analytics, Inc. (Noodle.ai), the Enterprise Artificial Intelligence company. Today's artificial intelligence technologies include machine learning, predictive data analytics, and data science. He is joined by Dr. Matt Denesuk, previously Chief Data Science Officer for GE Digital; Raj Joshi, previously Senior Executive Vice President of Professional Services at MicroStrategy; and Dr. Ted Gaubert, previously Chief Technology Officer of Infosys Consulting. The team brings deep experience in AI, big data, data science, machine learning, and data analytics across industries.

SAN FRANCISCO--(BUSINESS WIRE)--Executives previously from IBM Watson, GE Digital, Infosys, and MicroStrategy announced today that they have joined forces with TPG Growth to launch Noodle Analytics, Inc. (Noodle.ai), the Enterprise Artificial Intelligence company. Enterprise AI represents a major step forward in merging human learning and machine learning, all fueled by big data. Enterprise AI solutions combine world-class expertise in human-centered design, business process engineering, and artificial intelligence technologies. Today's artificial intelligence technologies include machine learning, predictive data analytics, and data science. "Over the next three to five years, artificial intelligence technologies and big data will be the most significant competitive differentiators in business.

The annual South by Southwest (SXSW) Interactive Festival, held in Austin, Texas, is an incubator of cutting-edge technologies and digital creativity, featuring a trade show, startup accelerator, innovation awards and speaking events with industry leaders. "From hands-on training to big-picture analysis of the future, SXSW Interactive has become the place to discover the technology of tomorrow today."[1] This year, conversations around SXSW Interactive have been dominated by mobile apps, virtual reality, 3D printing, the internet of things, artificial intelligence and security. We've chosen to focus on 3 areas that we believe will have the most profound effect on customer experience: Fear of a robofuture was prevalent at SXSW, with apprehensions about how humanoid machines, artificial intelligence and deep learning will impact our future. John Havens, founder of The H(app)athon Project, went as far as to run a session called "The Dispensables", pointing to Gartner research predicting that 1/3 of all Americans will be out of jobs by 2025 due to automation.

Vicarious cofounder D. Scott Phoenix: "Artificial intelligence is the next major fundamental technology that will empower the world." Vicarious doesn't plan to have a product out next year. By the time Vicarious launches its first full product, it could be 2031. And that far-distant timeline doesn't seem to be putting off investors: already 70m has been put into the company from tech luminaries including Mark Zuckerberg, Elon Musk, and Jeff Bezos, despite the fact the company isn't registered as a for-profit. Taking 15 or 20 years to launch a product proper sounds an eternity in a Silicon Valley where fortunes rise and fall in the three months between quarterly results, but Vicarious isn't just working on any old product.

Driverless cars of the sort Google is developing are supposed to be more efficient vehicles. Advocates say they're safer, too, despite minor accidents so far. "The autonomous car doesn't drink, doesn't do drugs, doesn't text while driving, doesn't get road rage," Bob Lutz, former General Motors vice chairman, told CNBC in a 2014 interview. Teenagers can do all of those things. As The New York Times recently pointed out, they're also liable to ride with distracting friends.

The risk of cyberattacks is one of the most dangerous threats facing businesses today. And while new versions of attacks are constantly being born, teams of analysts are rushing to keep up with the latest risks. While many detection systems rely primarily on machine learning for catching attackers, a new AI system at PatternEx depends on human analysts as a vital part of their system of supervised machine learning. Humans 2.0: How the robot revolution is going to change how we see, feel, and talk Robots aren't going to replace us, but by working hand in hand with us they will redefine what it means to be human. PatternEx's AI system is the first "virtual" security analyst team, and can predict, detect, and stop attackers in real time.

Google is once again sharing its state-of-art artificial intelligence with the rest of the world. Today at an event in San Francisco, the company unveiled a new family of cloud computing services that allow any developer or business to use the machine learning technologies that power some of Google's most powerful services. Inside Google, these artificial intelligence systems deftly identify images inside apps like Google Photos; recognize commands spoken into Android Phones; and significantly improve the Google Internet search engine. Now others will be able to use them for many of the same purposes. During a lengthy keynote speech meant to highlight the company's entire suite of cloud services--services it sees as an enormously important part of its future--Google new application programming interfaces (APIs) for identifying images, recognizing speech, and translating from one language to another, among other services.

Big Ass Fans' Haiku ceiling fans have been the most sophisticated fans to reach the consumer market since they began shipping in 2014. Equipped with temperature, humidity, and occupancy sensors, they can turn themselves on and off and automatically adjust their rotational speed as needed. They can also exchange information with Nest thermostats to cool your home even more efficiently. In early 2016, Big Ass Fans formed a new division--Haiku Home--to focus on the residential market. Now Haiku Home has announced integration with Amazon's Alexa voice control, so that its fans' automatic settings can be overridden with voice commands.

Technology major Hewlett-Packard Enterprise (HPE) today announced the commercial launch of Haven OnDemand, a cloud platform that provides advanced machine learning application programme interfaces and services that enable developers, startups and enterprises to build data-rich mobile and enterprise applications. The company also announced a new version of Idol analytics platform, which applies data analytics and machine learning for organisations to automate and supplement a vast array of manual-based tasks such as trend analysis and video surveillance.

Although the machine-learning discipline is more than 30 years old, the nascent technology is poised for a serious growth spurt that may put puberty to shame. "As machine learning becomes more mainstream and there's more understanding of how the technology works, I thing we will see exponential growth," said Drew Warren, president and CEO of smart-data processing vendor Recognos Financial. "As organizations' demand increases and grows more powerful, we see more organizations allotting more money to bring its development to the next level." Warren attributes machine learning's increased pace of evolution to better and more abundant enabling technologies, improved performance, and the rise of more specialized vendors that have the potential to reconfigure the technology's linear improvement curve into an exponential one. The advent of open-source resources like Google's TensorFlow machine-learning library has made development much easier, noted Nitin Rakesh, president and CEO of technology and knowledge-processing outsourcing provider Syntel.