TORONTO and NEW YORK, Oct. 20, 2017 /CNW/ – AcuityAds Holdings Inc. (TSXV:AT) ("AcuityAds" or "Company"), a technology leader that provides targeted digital media solutions enabling advertisers to connect intelligently with audiences across video, mobile, social and online display campaigns, today announced that the Company's Chief Technology Officer, Dr. Nathan Mekuz, will be presenting at the StableView Asset Management TECH17 Conference on Thursday, October 26, 2017 in Toronto, Canada. Dr. Mekuz will be delivering a brief presentation on the topic of how organizations are powering business innovation with Artificial Intelligence (AI). The StableView TECH17 conference is being held at the Arcadian Loft, located at 401 Bay Street, Simpson Tower, 8th Floor with AcuityAds presenting at 9:15 am. As the only buy-side curated tech conference in Canada, StableView TECH17 sits at the junction of the public and private investing tech ecosystem in Canada and brings together participants that typically stay in their individual silos: institutional investors, pensions, VCs, broker-dealers, advisors, HNW investors and family offices with private and public tech companies in Canada. On October 26th, 2017, approximately 25 of Canada's leading technology companies will be presenting to an expected audience of over 450 professionals representing approximately $350B in AUM.

SYS-CON Events announced today that Google Cloud has been named "Keynote Sponsor" of SYS-CON's 21st International Cloud Expo, which will take place on Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Companies come to Google Cloud to transform their businesses. Google Cloud's comprehensive portfolio - from infrastructure to apps to devices - helps enterprises innovate faster, scale smarter, stay secure, and do more with data than ever before. For more information, please visit https://enterprise.google.com/chrome/. Coca-Cola's Google powered digital signage system lays the groundwork for a more valuable connection between Coke and its customers.

Demand for Artificial Intelligence (AI) expertise and technologies is being driven by compelling business value from across industries. Teradata (NYSE: TDC), the leading data and analytics company, is helping clients capitalize on the power of AI to deliver high value business outcomes in the areas of fraud detection, manufacturing performance optimization, risk modelling, and precision recommendation engines. To help clients accelerate their AI initiatives, Teradata leads with data science acumen and deep learning algorithms that significantly outperform most rules-based and machine learning approaches. For example: Danske Bank worked with Teradata to create and launch a state of-the-art, AI-driven fraud detection platform expected to meet 100 percent ROI in its first year of production. The engine uses deep learning to analyze tens of thousands of latent features, scoring millions of online banking transactions in real-time to provide actionable insight regarding both true and false fraudulent activity.

NEW YORK--(BUSINESS WIRE)--Accenture (NYSE:ACN) has joined the Partnership on AI, a prestigious alliance of businesses, researchers, academics and policy makers that work to advance the understanding of artificial intelligence (AI) technology and develop best practices on the challenges and opportunities within the field. Accenture joins other prominent industry leaders who share its commitment to advancing the field of AI so that it benefits people and society. Accenture will actively contribute its own insights, research and capabilities in areas including Responsible AI, and will dedicate people and resources to collaborate with Partnership on AI members to help address important global challenges such as food, diversity, inclusion, health, education and economic opportunity. "We are thrilled to join the Partnership on AI. We believe businesses, governments and academia have a critical role in co-innovating and applying AI to invent new educational, workforce and business models that are both responsible and responsive to the needs of people and society. It's up to us to ensure AI can truly be a force for public good," said Paul Daugherty, Accenture's chief technology & innovation officer.

H2O democratizes AI for enterprises and businesses looking to monetize investments in their data infrastructure,

TERADATA PARTNERS CONFERENCE -- Teradata (NYSE: TDC) announced today that Danske Bank, a financial services leader in the Nordics, has worked with Think Big Analytics, a Teradata company, to create and launch a state-of-art, AI-driven fraud detection platform that is already expected to meet 100 percent ROI in its first year of production. The engine uses machine leaning to analyze tens of thousands of latent features, scoring millions of online banking transactions in real-time to provide actionable insight regarding true, and false, fraudulent activity. By significantly reducing the cost of investigating false-positives, Danske Bank increases its overall efficiency and is now poised for substantial savings. "Application fraud is a critical, top of the agenda issue for banks, and there is evidence that criminals are becoming savvier by the day; employing sophisticated machine learning techniques to attack, so it's critical to use advanced techniques, such as machine learning to catch them," said Nadeem Gulzar, Head of Advanced Analytics, Danske Bank. "The bank understands that fraud is set to get worse in the near and long-term future due to the increased digitization of banking and the prevalence of mobile banking applications. We recognize the need to use cutting-edge techniques to engage fraudsters not where they are today, but where they will be tomorrow. Using AI, we've already reduced false positives by 50 percent and as such have been able to reallocate half the fraud detection unit to higher value responsibilities."

In an era of expansive and often underused data, the CDLA licenses are an effort to define a licensing framework to support collaborative communities built around curating and sharing "open" data. Inspired by the collaborative software development models of open source software, the CDLA licenses are designed to enable individuals and organizations of all types to share data as easily as they currently share open source software code. Soundly drafted licensing models can help people form communities to assemble, curate and maintain vast amounts of data, measured in petabytes and exabytes, to bring new value to communities of all types, to build new business opportunities and to power new applications that promise to enhance safety and services. The growth of big data analytics, machine learning and artificial intelligence (AI) technologies has allowed people to extract unprecedented levels of insight from data. Now the challenge is to assemble the critical mass of data for those tools to analyze.

The dataset of scans is from more than 30,000 patients, including many with advanced lung disease. The NIH Clinical Center recently released over 100,000 anonymized chest x-ray images and their corresponding data to the scientific community. The release will allow researchers across the country and around the world to freely access the datasets and increase their ability to teach computers how to detect and diagnose disease. Ultimately, this artificial intelligence mechanism can lead to clinicians making better diagnostic decisions for patients. NIH compiled the dataset of scans from more than 30,000 patients, including many with advanced lung disease.

MONTREAL--(BUSINESS WIRE)--Element AI, an artificial intelligence company that delivers groundbreaking AI solutions, today announced it has joined the Partnership on AI (PAI) to design best practices and principles that will promote fairness, safety, transparency, and positive social impact. PAI's goals are to study and formulate best practices on the development, testing, and fielding of AI technologies while advancing the public's understanding of AI. Its mission is to serve as an open platform for discussion and engagement about AI and its influences on people and society as well as identifying and fostering aspirational efforts in AI for socially beneficial purposes. Amazon, Apple, Google/DeepMind, Facebook, IBM and Microsoft founded the partnership to bring different, valuable perspectives to its efforts through the inclusion of innovative companies like Element AI. According to a statement released by the Partnership on AI, "We actively designed the Partnership on AI to bring together a diverse range of voices from for-profit and non-profit, all of whom share our belief in the tenets and are committed to collaboration and open dialogue on the many opportunities and rising challenges around AI." In addition to Element AI, another world renown company to join PAI is Element AI Series A investor NVIDIA along with other prestigious companies including: Accenture, Association for Computer Machinery, AI Now, Amnesty International, Article 19, Berkeley CHAI, doteveryone, Fraunhofer IAO, Future of Life Institute, Hastings Center at Yale University, Hong Kong University Electronic & Computer Engineering, Markkula Center for Applied Ethics, Omidyar Network, Oxford Internet Institute and Tufts HRI Lab.

Artificial intelligence has proven to be a dab hand at recognizing what's going on in photos and videos, but the datasets it's usually trained on are pretty genteel. Not so for Pornhub, which announced today that it's using machine learning to automatically catalog its videos. The site is starting small, deploying facial recognition software that will detect 10,000 individual porn stars and tag them in footage. It plans to scan all 5 million of its videos "within the next year," and then move onto more complicated territory: using the software to identify the specific categories videos belong to, like "public" and "blonde." In a press statement, Pornhub VP Corey Price said the company was joining the trend of firms using AI to "expedite antiquated processes."