AI Daily Roundup starts today! We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence, Machine Learning, Robotic Process Automation, Fintech, and human-system interactions. We will cover the role of AI Daily Roundup and its application in various industries and daily lives. Unisys Corporation announced it has been named a leader in the NelsonHall Evaluation & Assessment Tool (NEAT) on Cognitive and Self-Healing IT Infrastructure Management Services, which cites companies' increasing focus on utilizing artificial intelligence (AI) and automation to deliver value across every business function.

AI Daily Roundup starts today! We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence, Machine Learning, Robotic Process Automation, Fintech, and human-system interactions. We will cover the role of AI Daily Roundup and its application in various industries and daily lives. Omnispace, the company that is redefining mobile communications by building a global hybrid network, announced the successful demonstration of 5G satellite capability with the National Security Innovation Network (NSIN), along with the Navy and Marine Corps.

AI Daily Roundup starts today! We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence, Machine Learning, Robotic Process Automation, Fintech and human-system interactions. We will cover the role of AI Daily Roundup and their application in various industries and daily lives. RingCentral, Inc. a leading provider of global enterprise cloud communications, collaboration, and contact center solutions, announced that the San Francisco Symphony is using RingCentral Video, part of its flagship product RingCentral Office, to connect with audiences virtually with fun and interactive entertainment.

Cybersecurity has been continuously evolving, not just as a hot topic for discussion but as the mainstream challenge and priority for a large number of organizations. Recently, we have seen several cyberattack incidents turning into global epidemic events, such as WannaCry (May 2017; damaging 200,000 computers across 150 countries), Petya/NotPetya (June 2017; $10 billion damage estimated), Mirai (Oct 2016; initial level impact on 300,000 insecure IoT-devices worth $100 million, further variants and consequences still getting unveiled). And even on the corporate front, the world has witnessed several massive breach incidents, including Yahoo (2013-14; impacting 3 billion users), Equifax (July 2017; impacting 150 million U.S. citizens), and Aadhaar (Aug 2017 to Jan 2018, 1.1 billion Indian citizens impacted), just to name a few. With every passing day, cybercriminals are learning and adopting new and innovative methods of attack. To withstand such attacks, security agencies also need to ramp up their game. Besides the established players, there are a large number of startups using advanced techniques like machine learning and artificial intelligence to prevent such cyberattacks.

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Plants, factories, and manufacturers in general are embracing IoT, which in turn is driving the use of artificial intelligence at the edge of corporate networks as a way to streamline industrial processes, improve efficiency and detect maintenance issues before they become problems – perhaps even big problems that could force plant shutdowns. At the same time, incumbents such as AWS, Dell, and Cisco are pouring billions into IoT and edge computing. HPE recently invested $4 billion on its "intelligent edge," while Microsoft pumped $6.5 billion into its IoT efforts. The competition in this sector is brutal, but the opportunity is big enough that the 10 startups highlighted here still have room to maneuver and time to scale up. Keep an eye on them because one or more could well be the next unicorn in this hot market.

Enterprise startups have always played a crucial role in IT portfolios. As much as CIOs would love to centralize technology purchasing decisions with a handful of strategic partners, incumbents can't always meet all of their needs, especially when it comes to emerging technologies. To become better acquainted with startups, many CIOs regularly travel to Silicon Valley to participate in "speed dating," in which venture capitalists invite them to meet the members of their portfolios. Some CIOs host hackathons or Shark Tank-like competitions for external developers to try coding their way into the company's graces. Still others learn of promising new companies from their peers.

Imagine if you could analyze trillions of data points using machine learning algorithms to come up with a list of the absolute best startups to invest in. That's no small task as there are an estimated 23,000 startups in Silicon Valley alone. One startup called SignalFire is doing just that by taking unstructured data from over 2 million data sources and then using machine learning algorithms to pick the best startups to invest in. Wouldn't you be the least bit curious to know which companies they picked? We were extremely interested to know, so we had one of our on-staff PhDs take a look on Crunchbase and lo and behold, 8 startups were listed that SignalFire has invested in so far.

BENGALURU: Mumbai-based Arya.ai offers its deep learning algorithms for developers to build intelligent AI systems that can adapt and do multiple things with minimal inputs from humans. From creating a diagnostic assistant for radiologists to a mathematical assistant for science academicians and on to drone image processing abilities, the uses appear to be really diverse. "We have already launched the advanced AI software tools in a closed group beta phase with developers internationally and researchers in select software companies, these developers are using these softwares for building robots that can assist professionals from different fields in their task," said Vinay Sankarapu, cofounder of Arya.ai (in picture). API for developers can be used for four specific categories. From creating custom APIs to use cases within computer vision, this could range from classifying or searching for products on e-commerce platforms by using visual inputs to security based face matching techniques, as well as language and reasoning, where event prediction can take place.