LONDON [10th May 2018] – Inawisdom, announced today that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. Achieving the AWS ML Competency differentiates Inawisdom as an AWS Partner Network (APN) member that has built solutions that help organisations solve their data challenges, enable ML and data science workflows that enhance business applications with machine intelligence. Attaining the AWS ML Competency, demonstrates to our customers that Inawisdom has validated ML expertise and experience on AWS. "We are absolutely delighted to achieve AWS ML Competency status as this recognises the great customer projects that Inawisdom has already completed and the hard work of such a talented team," said Neil Miles, CEO. "The ability to help customers outperform the market by discovering wisdom from their data assets is made possible by leveraging the agility and power of AWS." AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises.

HERNDON, Va.--(BUSINESS WIRE)--47Lining, a REAN Cloud company, announced today that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes 47Lining for its consulting practice focused on helping customers establish real-time, predictive and statistical modeling results for use cases like real-time dashboards, industrial process optimization, customer churn, propensity modeling, content recommendation and fraud detection. Achieving the AWS ML Competency differentiates 47Lining as an AWS Partner Network (APN) member that has built solutions that help organizations solve their data challenges, enable machine learning and data science workflows or offer SaaS/API based capabilities that enhance end applications with machine intelligence. Attaining the AWS ML Competency demonstrates to customers that 47Lining has validated expertise and ML experience on AWS. "Achieving AWS ML Competency status recognizes 47Lining's proven track record of working with customers to enable widespread use of predictive and real-time analytics," said Mick Bass, Senior Vice President of REAN Cloud's Big Data Practice.

WASHINGTON--(BUSINESS WIRE)--The following is an opinion editorial provided by Brian Krzanich, chief executive officer of Intel Corporation. China, India, Japan, France and the European Union are crafting bold plans for artificial intelligence (AI). They see AI as a means to economic growth and social progress. Meanwhile, the U.S. disbanded its AI taskforce in 2016. The U.S. technology sector has long been a driver of global economic growth.

Intel announced today that it is forming a strategic research alliance to take artificial intelligence to the next level. Autonomous systems don't have good enough ways to respond to the uncertainties of the real world, and they don't have a good enough way to understand how the uncertainties of their sensors should factor into the decisions they need to make. According to Intel CTO Mike Mayberry the answer is "probabilistic computing", which he says could be AI's next wave. IEEE Spectrum: What motivated this new research thrust? Mike Mayberry: We're trying to figure out what the next wave of AI is.

About AliveCor AliveCor, Inc. is pioneering the creation of FDA-cleared machine learning techniques to enable proactive heart care and is recognized around the world for transforming cardiac care. The FDA-cleared KardiaMobile is the most clinically validated mobile ECG solution on the market. It is recommended by leading cardiologists and used by people worldwide for accurate ECG recordings. KardiaMobile, and KardiaBand, when paired with the Kardia app provide instant analysis for detecting atrial fibrillation (AF) and normal sinus rhythm in an ECG. Kardia is the first A.I. enabled platform to help clinicians manage patients for the early detection of atrial fibrillation, the most common cardiac arrhythmia and one that leads to a five times greater risk of stroke.

AI start-up Gamalon raised $20 million with lead investor Intel Capital joined by .406 This brings the total investment in US-based AI firm to more than $32 million including the largest single investment by the US Government in next-generation machine learning over the past five years. Existing investors Boston Seed Capital, Felicis Ventures and Rivas Capital also participated in the Series A round. According to Gamalon, it's the first artificial intelligence system that can process natural language and then explain what ideas are present and how they are organized. The first application of technology will be for enterprises to read, understand, and interact with billions of customer messages and provide individual responses.

On Wednesday the Department of Transportation announced the launch of a pilot program that will lead to new regulations. On Wednesday the Department of Transportation announced the launch of a pilot program that will lead to new regulations. Here's a hypothetical: How tolerant would you be of a drone flying over your head or zooming through your backyard, if it were carrying life-saving medicine to the scene of a hard-to-reach accident? The U.S. Department of Transportation plans to collect the answers to questions like this, and a slew of other data, in a new test project called the Integration Pilot Program. After combing through 149 applications from state, local and tribal governments seeking to partner with some of the world's leading technology companies, Transportation Secretary Elaine Chao announced the winners Wednesday.

The conclusion of the round is the latest in a series of recent highlights for conDati, including receiving an award for applying machine learning to marketing ROI and bringing multiple customers into pre-launch deployments. The completed financing positions the company for commercial launch of its Big Data as a Service (BDaaS) solutions for digital marketing later this spring. "We already have companies in e-commerce, higher education, B2B and digital media actively using our solution," noted CEO and founder Ken Gardner in an interview. "Our momentum is building, and we are eager to get to the broader market and help companies improve their return on marketing. The complete and current visibility we deliver in conDati Marketing Analytics gives marketers entirely new abilities to understand, predict and improve the financial performance of all their digital marketing campaigns."

Schlage announced today that users of its Sense and Connect smart locks will now be able to unlock them with Alexa. Users have been able to lock and check the status of their smart deadbolts with Amazon's digital assistant since October, but unlocking them still required a phone. Now Sense and Connect owners can use any Alexa-enabled device to unlock their doors for them. The feature will have to be enabled -- it's disabled by default for security purposes -- through the Amazon Alexa app and users will be required to create a PIN in order to use the feature. That PIN has to be spoken before Alexa can unlock the door and three wrong attempts will cause the voice control feature to be disabled.

SAN FRANCISCO, May 8 (Reuters) - Artificial intelligence company ThoughtSpot, whose technology enables sophisticated searches of corporate data, has raised $145 million in fresh funding, underscoring investor appetite for technology that promises to automate tasks once done by humans. The company announced the new funding on Tuesday. Chief Executive Officer Ajeet Singh said in an interview that the round was more than double what he had set out to raise and would likely be the final private fundraising before an initial public offering in as little as two years. The funding values the company at $950 million, up from $450 million after its last fundraising, according to venture capital data firm PitchBook Inc. ThoughtSpot sells businesses software that uses artificial intelligence - teaching computer systems to perform tasks that normally require human intelligence - to make queries and deliver answers from a massive set of data. Company employees can search corporate data much the same as making a query using Google Search.