Mumbai, January 27, 2017: HDFC Bank Ltd., today announced the launch of IRA, its interactive humanoid, at the Kamala Mills branch in Mumbai. IRA, which stands for Intelligent Robotic Assistant, will help branch staff in servicing customers. With this launch, HDFC Bank becomes the first bank in the country to introduce a humanoid for customer service. Developed using Robotics and Artificial Intelligence technologies, IRA will be positioned near the Welcome Desk, where it will greet customers and guide them to the relevant counter in the branch such as Cash Deposit, Foreign Exchange, Loans, among others in the first phase. After the customer selects an option, IRA will offer to guide the customer to the respective counter, by displaying'Take Me There' on the screen.

IBM Machine Learning leverages parts of the Watson supercomputer to be used with the IBM z System Mainframe. The tech giant's initiative aims to train and deploy analytics models in the private cloud. According to Tech Republic, IBM plans to bring soon some of the core machine learning technology from IBM Watson to the private cloud and mainframes, as the company announced on Wednesday, Feb. 15. The tech giant has called its new cognitive platform IBM Machine Learning. The upcoming machine learning platform will be launched first on the z System mainframe.

IBM will soon bring some of the core machine learning technology from IBM Watson to mainframes and the private cloud, the company announced on Wednesday. The new cognitive platform, simply called IBM Machine Learning, will make its debut on the z System mainframe. In a press release, IBM described IBM Machine Learning as a platform for "continuously creating, training and deploying a high volume of analytic models in the private cloud at the source of vast corporate data stores." The service could help enterprise data scientists more quickly get to valuable insights. "IBM Machine Learning was designed leveraging our core Watson technologies to accelerate the adoption of machine learning where the majority of corporate data resides," Rob Thomas, general manager for IBM Analytics, said in a press release.

Extending the life of its mainframes yet again, IBM announced today that it is bringing machine learning to its traditional mainframe customers, and, eventually, to any computing processes located inside data centers. This will allow the mainframes to take advantage of data in a more modern machine-learning context and extend the useful life of the mainframe platform. In doing so, IBM is providing data scientists with the same types of machine learning capabilities in a mainframe environment that they are used to finding in the cloud. The goal is to automate the tedious work of creating, testing and deploying analytical models, freeing scientists to give more thought to the quality of their queries. "We're now entering the'Cognitive Era' with the advent of machine learning and artificial intelligence," said Dave Vellante (@dvellante), co-host of theCUBE, SiliconANGLE Media's mobile live streaming studio.

Exari, the leading provider of enterprise contract management software, announced today that together with IACCM it will host a live and complimentary webinar titled "An Artificial Intelligence Survival Guide for Contracts Professionals," on Tuesday February 28, from 11:00AM to 12:00PM Eastern Standard Time. The webinar will offer expert advice from Jamie Wodetzki, Co-Founder and Chief Product Officer at Exari and Tim Cummins, CEO of IACCM. Interested professionals can register for the webinar here. "We are in a golden age of machine learning," said Jamie Wodetzki. "Artificial Intelligence (AI) is transforming our daily lives and our professional careers. AI has entered into the contract management space and is already giving us new and different ways to explore key facets of contract documents."

Last year, Huawei leapfrogged a couple of fellow Chinese hardware companies to secure its spot as the third largest smartphone maker worldwide. As the company takes aim at the number two spot, it's apparently working to differentiate itself even more from the competition by developing more proprietary tech, adding to a list of components that already includes its own in-house chips. According to a new report from Bloomberg, a smart assistant is the next step. The company is said to be hard at work on a Siri/Alexa/Google Assistant competitor, employing a team of more than 100 people tasked with its creation in Shenzhen. If true, the company would join Samsung in a growing list of Android handset makers opting not to go with Google's assistant – though the Galaxy maker sped up the process a bit with its recent acquisition of Viv Labs.

Artillery is no longer the King of War. Information technology has transformed the modern battlefield at sea, in the air and on land, and it is arguably the new King of War. In April the Defence Science and Technology Laboratory (Dstl) will help to demonstrate this as part of the Royal Navy led Information Warrior exercise. Information Warrior builds on the impressive success of last year's Unmanned Warrior exercise. It focuses is on how information can be used offensively and defensively to give the UK's armed forces a battle winning advantage.

The report "Drone Software Market by Architecture (Open Source, Closed Source), Offering (App-Based Software, Desktop Software), Application (Control & Data Capture, Image Processing, Analytics), Platform, and Region - Global Forecast to 2022", published by MarketsandMarkets, the market is estimated to be USD 2.85 Billion in 2016 and is projected to reach USD 12.33 Billion by 2022, at a CAGR of 27.63% during the forecast period. Browse83 market data Tables and42 Figures spread through 135 Pages and in-depth TOC on"Drone Software Market" PRnewswire&utm_medium Referral&utm_campaign PaidPR ] Early buyers will receive 10% customization on this report. The key factors expected to fuel the growth of the drone software market include increasing investments and the rising use of drones in commercial and military applications. Based on architecture, the open source segment is expected to dominate the market. Open source software are available freely and many companies are opting for open source software.

This is exactly what Qzone, one of China's largest online social network platforms owned by Tencent, YouTu Lab, an AI research lab under Tencent focusing on machine learning, and Vipshop Holdings Limited, China's leading online discount retailer for brands, have joined hands to accomplish. The three platforms have produced a new AI powered report that reveals the fashion preferences of China's "post-95" generation in terms of most popular colors, fabrics and patterns and inspired a new collection by famous Chinese designer Chi Zhang, named Designer of the year by Esquire China, to be launched at New York Fashion Week 2017. This is the first time that AI technology has been leveraged to identify fashion trends to guide the design of a major new collection for presentation at New York Fashion Week. By applying facial recognition technology to big data aggregated on Tencent's Qzone platform, YouTu Lab's algorithm identified the ages of "post-95" users accurately within three years. In order to analyze fashion preferences, the AI-powered technology was able to distinguish users' clothing from a multitude of varied backgrounds with 95% accuracy.

Today, ZestFinance announced the Zest Automated Machine Learning (ZAML) Platform for credit underwriting. ZAML enables lenders to analyze vast amounts of non-traditional credit data to increase approval rates and reduce the risk of credit decisions, particularly for thin-file and no-file borrowers like millennials. The platform also provides the ability to explain data modeling results to measure business impact and comply with regulatory requirements. The ZAML Platform is available today. Financial institutions, including banks, credit card issuers, auto financiers, and others, are under competitive pressure to increase revenues while managing risk and ensuring compliance.