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Podcast: Juniper CTO on creating an AI-driven enterprise

#artificialintelligence

Juniper CTO Raj Yavatkar joins the Light Reading podcast to discuss Juniper's strategy to use machine learning and AI to help customers build "self-driving" enterprise networks. The acquisition of Mist Systems brought that capability to Wi-Fi access points, he explains. Once Juniper completes its acquisition of 128 Technology, it can improve on its AI-driven approach to its SD-WAN and WAN assurance offerings, too. You can find all of Light Reading's editorial and custom audio programs on Apple Podcasts, Google, SoundCloud or Spotify.


ZoomInfo Acquires Clickagy to Deliver Streaming Intent Data

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ZoomInfo, a global leader in go-to-market (GTM) intelligence solutions, announced that it has acquired Clickagy, a leading provider of artificial intelligence-powered buyer intent data. Along with this acquisition, ZoomInfo is launching Streaming Intent, an innovative solution that identifies companies with above-average search volume on business-to-business (B2B) topics within minutes of their web activity. As ZoomInfo continues to enhance its comprehensive go-to-market intelligence platform, the acquisition of Clickagy provides sellers and marketers with streaming behavioral intent data that is expansive and customizable. Using an advanced natural language processing engine which correctly identifies context, Clickagy's technology delivers stronger, more reliable intent signals in real time. Clickagy's extensive database gathers intent data from over 300,000 publisher domains and includes 6 trillion-plus new keyword-to-device pairings each month, sourced from over 91 percent of accessible devices in the United States.


Artificial Intelligence Vs Machine Learning - SKILL MONKS

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Artificial Intelligence and Machine Learning are trending technologies today and an inherent part of the computer sciences that are also correlated. These are two hot buzzwords today. Essentially used for creating intelligent systems, we can say that AI is a bigger concept, involving the creation of intelligent machines, which have the capacity to simulate human thinking and behavior. On the other hand, machine learning is a subset of AI, allowing the machines, to learn from data without any sort of explicit programming. Today there are broad waves of technological change sweeping through the world and in it both these concepts have caught the imagination of the people. This is an exercise to understand both the terms so that the basic differences are understood through this understanding and analysis.


ABBYY Acquires Pericom Singapore to Expand Footprint in Asia Pacific

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ABBYY, a Digital Intelligence company, announced it acquired Pericom Singapore, part of the Pericom Group, a leading solution provider based in Singapore. The acquisition strengthens ABBYY's presence in Asia Pacific following the opening of its Hong Kong office in 2019, long-established office in Japan, and a strong partner network throughout the region. Singapore ranks first in the Asian Digital Transformation Index and is considered the trading crossroads for innovations in cloud computing, artificial intelligence, data analytics and other technologies that span healthcare, security, energy, aviation, defense, smart cities and education. As more Asia Pacific executives look to accelerate their digital business initiatives post-COVID, including 84% of Singapore businesses who have increased their budgets, ABBYY's growing presence signifies its readiness to meet their digital transformation needs. "We have had many successful large-scale implementations in the Asia Pacific market working closely with our valuable partners and large system integrators," commented Ulf Persson, CEO of ABBYY.


GTC 2020: Nvidia doubles-down on its UK AI investments

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Jensen Huang, CEO of NVIDIA, has kicked off the company's annual GTC conference with a series of AI announcements--including a doubling-down of its UK investments. NVIDIA is investing heavily in the UK's accelerating AI sector. The company announced its acquisition of legendary semiconductor giant Arm for $40 billion back in September along with the promise to open a new AI centre in Cambridge. "We will create an open centre of excellence in the area once home to giants like Isaac Newton and Alan Turing, for whom key NVIDIA technologies are named," Huang said at the time. "We want to propel Arm – and the UK – to global AI leadership."


The future of life insurance: Reimagining the industry for the decade ahead

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The global life insurance industry has seen significant changes over the past decade. Developing economies--predominantly emerging markets in Asia that were formerly small contributors--have become global growth drivers and now account for more than half of global premium growth (Exhibit 1) and 84 percent of individual annuities growth (Exhibit 2). The availability of data has skyrocketed, and insurers have made progress in advanced analytics and artificial intelligence. Digital and mobile advances have raised the bar on transparency and service quality: customers can now file claims and access agents, insurance quotes, and policy information with a few taps on a screen. The past decade has also introduced new challenges. Life insurers have not benefitted from the bull market (Exhibit 3). Global penetration fell to 3 percent, and premium growth within most developed markets, hovering just below 2 percent per year, struggled to match GDP.


TechCrunch

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Mailchimp may have started out as an easy to use newsletter tool, but that was almost 20 years ago. Today's company still does email, but at its core, it is now a marketing automation platform for small businesses that also offers a website builder, basic online stores, digital ad support and analytics to make sense of it all. Like before, though, the company's main goal is to make all these features easy to use for small business users. Today, Mailchimp, which has never taken outside funding, is taking the next step in its own transformation with the launch of a set of AI-based tools that give small businesses easy access to the same kind of capabilities that their larger competitors now use. That includes personalized product recommendations for shoppers and forecasting tools for behavioral targeting to see which users are most likely to buy something, for example.


DocuSign Analyzer aims to save legal costs, labor with AI-aided contract negotiations

ZDNet

Picking the right tech vendors for your small or medium-sized business can be hard, especially with the cloud and everything-as-a-service providers giving you access to enterprise-level IT. ZDNet helps SMBs build a technology stack that promotes innovation and enables growth. DocuSign is launching DocuSign Analyzer, an artificial intelligence service, that aims to speed up contract negotiations, save billable legal hours and get better terms. The product, part of DocuSign's Agreement Cloud, uses AI to give legal and procurement teams insights about risks and opportunities. DocuSign Analyzer is also designed to spot errors and anomalies that can hamper deals.


How Roku built a quiet path to rock the home audio market

ZDNet

Roku has long been adept at staying above the fray in the platform wars. For example, it was the only third-party video device to support Prime Video as Amazon rolled out its own Fire TV. With its announcement today that it now supports Apple HomeKit (and thus Siri), in addition to Amazon Alexa and Google Assistant, its players will now be able to be controlled by all of the major voice agents. But while it has steered clear of alienating the industry's giants, it has nonetheless been mounting an offensive, one that is now clear in its pursuit of capturing the home theater. It all began innocently enough with the launch of the Roku Wireless Speakers.


GSA adds machine learning support for agency regulatory reviews - FedScoop

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The General Services Administration is modernizing how agencies review regulations using machine learning (ML), in a procurement through its Centers of Excellence (CoE) initiative. GSA awarded a $9.9 million contract to Deloitte and to Esper, Inc. for ML support for agencies. ML can review rules and regulations to identify trends in the data, which can help eliminate redundancies and streamline the process of writing new ones. Both the CoEs within GSA's Technology Transformation Services and the Federal Systems Integration and Management Center (FEDSIM) have used ML, a subset of artificial intelligence, to conduct regulatory reviews. The contract extends their work to CoE partner agencies.