Forward-looking statements include, without limitation, 1) benefits and value to customers from aiWARE for Xcellis solutions and 2) customer demand for and Quantum's future revenue from such solutions. These statements involve known and unknown risks, uncertainties and other factors that may cause Quantum's actual results to differ materially from those implied by the forward-looking statement, including unexpected changes in the Company's business. More detailed information about these risk factors, and additional risk factors, are set forth in Quantum's periodic filings with the Securities and Exchange Commission, including, but not limited to, those risks and uncertainties listed in the section entitled "Risk Factors," in Quantum's Quarterly Report on Form 10-Q filed with the Securities and Exchange Commission on August 9, 2017. Quantum expressly disclaims any obligation to update or alter its forward-looking statements, whether as a result of new information, future events or otherwise, except as required by applicable law.
By modeling human testers, including manual and test automation tasks such as scripting, Appvance has developed algorithms and expert systems to take on those tasks, similar to how driverless vehicle software models what a human driver does. The Appvance AI technology learns from various existing data sources, including learning to map an application fully on its own, various server logs, Splunk or Sumo Logic production data, form input data, valid headers and requests, expected responses, changes in each build and others. The resulting test execution represented real user flows, data driven, with near 100% code coverage. Built from the ground up with DevOps, agile and cloud services in mind, Appvance offers true beginning-to-end data-driven functional, performance, compatibility, security and synthetic APM test automation and execution, enabling dev and QA teams to quickly identify issues in a fraction of the time of other test automation products.
New research from Capgemini's Digital Transformation Institute shows that four out of five companies implementing AI have created new jobs as a result of AI technology Paris, September 7, 2017 – Capgemini, a global leader in consulting, technology and outsourcing services, has today announced the findings of "Turning AI into concrete value: the successful implementers' toolkit", a study of nearly 1,000 organizations with revenues of more than $500m that are implementing artificial intelligence (AI), either as a pilot or at scale. Capgemini's Digital Transformation Institute research provides insights on the opportunities and benefits of artificial intelligence for organizations. A global leader in consulting, technology and outsourcing services, the Group reported 2016 global revenues of EUR 12.5 billion. Capgemini Consulting is the global strategy and transformation consulting organization of the Capgemini Group, specializing in advising and supporting enterprises in significant transformation, from innovative strategy to execution and with an unstinting focus on results.
Instead of preprogramming software to complete a specific task, as narrow AI does, machine learning uses algorithms that allow a computer to learn from the vast amounts of data it receives so it can complete a task on its own. International Business Machines uses deep learning powered by NVIDIA's graphics processing units (GPUs) to comb through medical images to find cancer cells. The company makes the graphics processors that are integral in AI, machine learning, and deep learning, and lots of companies already look to NVIDIA's hardware to make their AI software a reality. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Amazon, Facebook, and Nvidia.
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. Join Cloud Expo @ThingsExpo conference chair Roger Strukhoff (@IoT2040), October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. The upcoming 21st International @CloudExpo @ThingsExpo, October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY announces that its Call For Papers for speaking opportunities is open.
"Our sense is management believes that investors still severely underestimates the impact of AI and the size of the potential market," Evercore analyst C J Muse wrote in a note on Friday after hosting Nvidia's management. Nvidia has been rapidly expanding into newer technologies including artificial intelligence, cloud computing and self-driving cars, away from designing graphics-processing chips for which the company was known for. Bank of America Merrill Lynch analyst Vivek Arya listed Nvidia a "top pick", basing his view "on (Nvidia's) underappreciated transformation from a traditional PC graphics vendor, into a supplier into high-end gaming, enterprise graphics, cloud, accelerated computing and automotive markets," according to Seeking Alpha. In May, Nvidia announced a partnership with Toyota Motor Corp through which the Japanese car maker would use Nvidia's AI technology to develop self-driving vehicle systems planned for the next few years.
WIRE)--The Industrial Internet Consortium (IIC), the world's leading organization transforming business and society by accelerating the adoption of the Industrial Internet of Things (IIoT), today announced the Smart Factory Machine Learning for Predictive Maintenance Testbed. The testbed is led by two companies, Plethora IIoT, a company, designing and developing cutting-edge answers for Industry 4.0, and Xilinx, the leading provider of All Programmable technology. Being able to predict system degradation before failure has a strong positive impact on machine availability: increasing productivity and decreasing downtime, breakdowns and maintenance costs," said Plethora IIoT Team Leader Javier Diaz. The Industrial Internet Consortium is the world's leading membership program transforming business and society by accelerating the Industrial Internet of Things (IIoT).
Earlier this year, Alphabet Inc. (NASDAQ:GOOGL) (NASDAQ:GOOG), a pioneer in the AI revolution, revealed that it would launch Google Brain Toronto, the second such research facility in the Great White North. Amazon has revealed plans to build a new AI research hub in Barcelona, Spain, which will be located in the city's 22@ start-up district, and plans to hire more than 100 scientists and software engineers to staff the facility over time. Earlier this year the company expanded its research and development center in Cambridge, England, by adding a 60,000-square-foot facility to house over 400 "machine learning scientists, knowledge engineers, data scientists, mathematical modelers, speech scientists, and software engineers" according to a press release. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), and Amazon.
In the long run, we expect AI technologies to become very broadly embedded into enterprise software applications and software, much as business intelligence ("BI"), reporting and analytics features have increasingly been directly incorporated into enterprise applications in the last decade. Company related disclosures: Issuer Company Ticker Applicable Disclosures Constellation Software Inc. CSU-T 7, 9 Shopify Inc. SHOP-N 7, 9 OpenText Inc. OTEX-Q 7, 9 Kinaxis Inc. KXS-T 7, 9 Descartes Systems Group Inc. DSGX-Q 7, 9 Absolute Software Inc. ABT-T 7, 9 BSM Technologies Inc. GPS-T 7, 9 Symbility Solutions Inc. SY-V 7, 9 ProntoForms Corp. PFM-V 1, 3, 7, 9 Redline Communications Inc. RDL-T 7, 9 See legend of Disclosures on next page. Definitions "Research Analyst" means any partner, director, officer, employee or agent of iA Securities who is held out to the public as a research analyst or whose responsibilities to iA Securities include the preparation of any written report for distribution to clients or prospective clients of iA Securities which includes a recommendation with respect to a security. Technology Sector Blair Abernethy, CFA August 17, 2017 Page 27 Analyst's Certification Each iA Securities research analyst whose name appears on the front page of this research report hereby certifies that (i) the recommendations and opinions expressed in the research report accurately reflect the research analyst's personal views about the issuer and securities that are the subject of this report and all other companies and securities mentioned in this report that are covered by such research analyst and (ii) no part of the research analyst's compensation was, is, or will be directly or indirectly, related to the specific recommendations or views expressed by such research analyst in this report.