NetBase, the industry leader in social media analytics, announced it will merge with Quid, a leader in AI driven text analytics. The combined company is the next generation consumer and market intelligence platform. The platform will deliver contextual insights that reveal business trends from across all forms of structured and unstructured data. The two companies will join forces under their new collective name, NetBase Quid. In today's age of information overload, NetBase Quid will deliver businesses an unprecedented solution that is faster, more accurate and actionable and with access to billions of indexed resources -- from social media posts, consumer reviews, product reviews, news articles to business filings, to patent applications, and forums – which can be aggregated, analyzed, and visualized in order to discover consumer and market insights.

It's safe to say that no industry will be left untouched by digital disruption. This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management. Legacy companies are falling like dominoes to disruptors. Together, emerging technology and new business models have created new ways of serving customers. The same way Airbnb, Uber, and LinkedIn fundamentally changed the lodging, taxi, and recruiting industries, titans such as Amazon, Google, and Facebook are now poised to disrupt every industry as wide-ranging as health insurers to grocers.

Google on Tuesday provided a look at efforts to put artificial intelligence to use for good, from protecting whales to breaking language barriers. The internet giant unveiled projects on AI work teams a week after Google chief executive Sundar Pichai urged a "proportional approach" to regulating the technology. Among demonstrations on Tuesday was a "bioacoustics" project using AI to help scientists, governments and nonprofit groups track endangered species. Two years ago, Google partnered with the US National Oceanic and Atmospheric Adminstration to track humpback whales by using AI recognize the sound of whales in audio captured by underwater microphones. Google on Tuesday announced an alliance with environmental groups to track critically endangered killer whales in the Salish Sea using AI.

Facebook has agreed to pay $550 million to settle a class-action lawsuit over its use of facial recognition technology in Illinois. Three Illinois residents sued Facebook under a state law, the Biometric Information Privacy Act, one of only two in the nation to regulate commercial use of facial recognition. The class action, which involved gathering facial data for a feature that suggests the name of people in users' photos, could have exposed Facebook to billions in damages. Under the agreement, the $550 million payout will go to eligible Illinois users and legal fees. Facebook disclosed the settlement as part of its quarterly financial results.

History teaches us that when you're in the middle of sweeping technology-driven change, the struggle to simply keep pace can make it hard to maintain perspective. This is the situation we find ourselves in now, with the rapid emergence of artificial intelligence (AI). Suddenly there's great urgency to explore how businesses and society can realize the benefits of AI while simultaneously grappling with the wide range of issues it has raised--issues like the future of employment and how we can preserve individual privacy and protect public safety. To do all this in a smart and balanced way requires a long-term view of what the decisions we make now will mean for the future. This is something that is probably a little easier to do at a company like Schneider Electric.

WASHINGTON – The House Ethics Committee is warning lawmakers not to share doctored images or videos that could "erode public trust, effect public discourse, or sway an election," guidance that comes during a proliferation of online misinformation in the run-up to the 2020 elections. In a memo sent to House members Tuesday, the committee said lawmakers or staffers could be found in violation of House ethics rules and subject to disciplinary proceedings for posting content intended to mislead the public. "Members have a duty, and a First Amendment right, to contribute to the public discourse," the authors of the memo wrote. "However, manipulation of images and videos that are intended to mislead the public can harm that discourse and reflect discreditably on the House." It's the first time the committee has admonished members of Congress on the use of fake images and audio on social media, though the new guidelines may be difficult to enforce because of a loophole allowing fake images when used for satire or parody.

As an HR tech analyst, author and brand strategist, Meghan is sought after for her ideas about the future of work, is a regularly featured speaker at global business conferences, and serves on boards for leading HR and technology brands.

This event is running from 27 September 2018 until 30 January 2020. Records365 is a records management SaaS for organizations that need to meet industry or governmental regulations in one or more content sources such as Office 365, SharePoint, box, exchange online, physical records, file shares and more. Attend this webinar, hosted by Paul Kelly, RecordPoint's Technical Sales & Delivery Manager, for a quick and interactive overview of how Record365 delivers easy, modern, and trusted records management and compliance, including: – Platform agnostic records management compliant with local and global standards – In-place records management across a range of electronic and physical content sources – Rules-based classification to automate your records life-cycle – Leveraging the power of Artificial Intelligence to maximize your total compliance efforts – Simple event-based retention – Zero impact to end users

Computers have guided us to the moon and back but can't help us with us with the biggest decisions we face today. Should Donald Trump be impeached? Should Britain leave the EU? Should Australia stop exporting fossil fuels? Questions like these do not have yes or no answers, however tempting it is to think otherwise.

It's no secret that bias is present everywhere in our society, from our educational institutions to the criminal justice system. The manifestation of this bias can be as seemingly trivial as the timing of a judge's lunch break or, more often, as fraught as race or economic class. We tend to attribute such discrimination to our own internalized prejudices and our inability to make decisions in truly objective ways. Because of this, machine learning algorithms seem like a compelling solution: we can write software to look at the data, crunch the numbers, and tell us what decision we should make.