Certain statements included in this news release constitute forward-looking statements or forward-looking information under applicable securities legislation. Such forward-looking statements or information are provided for the purpose of providing information about management's current expectations and plans relating to the future. Readers are cautioned that reliance on such information may not be appropriate for other purposes. Forward-looking statements or information typically contain statements with words such as "anticipate", "believe", "expect", "plan", "intend", "estimate", "propose", "project" or similar words suggesting future outcomes or statements regarding an outlook. Forward-looking statements or information in this news release include, but are not limited to, management's targets for the Company's growth in 2017, as well as the size, scope, and timing of the implementation of projects currently in the pilot phase.
Impact of AI in the Digital and Broadcast Media Industry Impact of'Digitization' in the media space is likely to put over half a trillion USD at stake, as per industry estimates.The digital paradigm in the media industry is expected to restructure the entire business model. In the digital age, user experience has moved away from being content driven to'on-demand' delivery, offered in a device of consumer choice.Emphasis in the coming years is likely to be placed at the intersection of content, technology, and user experience. A number of emerging technologies are disrupting existing business models within the media industry and are offering new opportunities, which traditional enterprises are only beginning to acknowledge. Artificial Intelligence (AI) is being increasingly used to transform the way media houses create content and present them to viewers.AI, by virtue of its data driven intelligence and self-learning abilities, can be used to automate repetitive skill-based jobs. Additionally, AI can power the development of superior prediction engines that offer cutting-edge analytics and business intelligence to media enterprises globally.
GUESS?, Inc. ("GUESS") (NYSE: GES) has reached another major milestone in its partnership with Alibaba Group ("Alibaba") (NYSE: BABA) to bring artificial intelligence to the fashion world to provide customers with a more enriching shopping experience that combines online and offline shopping behaviors. Rounding out a comprehensive partnership that began in 2013 with the launch of GUESS in Tmall, this year, GUESS also became a global strategic partner of Alibaba's FashionAI project, an initiative to give shoppers a glimpse of what the future of fashion retail will look like powered by artificial intelligence. With the launch of the interactive concept shop driven by Alibaba AI, GUESS and Alibaba saw the implementation of the O2O (online-to-offline) project come to life, marking the maturity of the unified customer experience concept. On July 4, 2018, Alibaba launched the pilot FashionAI concept shop on the Hong Kong Polytechnic University (PolyU) campus, pairing GUESS' extensive retail knowledge and latest collections with advanced Alibaba AI and other technologies on the sidelines of the 2018 Fashion and Textile Conference. Besides the FashionAI concept store's futuristic appeal, the project was aimed at providing a better retail experience for shoppers and to help brands better use analytics in ordering and maintaining inventory.
Groupe PSA and Inria today announced the creation of an OpenLab dedicated to artificial intelligence. The studied areas will include autonomous and intelligent vehicles, mobility services, manufacturing, design development tools, the design itslelf and digital marketing as well as quality and finance. "Artificial intelligence will quickly become an efficiency factor for the group. The OpenLab will work on artificial intelligence algorithms enabling autonomous vehicles to drive in complex environments for example. It will also work on predictive maintenance, powertrain design optimisation and the modelling of complex systems such as cities, to offer mobility services adapted to people's needs" said Carla Gohin, Groupe PSA's Vice President for Research and Advanced Engineering.
According to SIIA, CODiE Award recipients produce the most innovative businesses technology products around the world. The award spotlights the unique innovation associated with Max, Apttus' applied AI for Apttus Omni, the company's Intelligent Middle Office Platform. Max utilizes an intelligent conversational user interface that proactively delivers insights and recommendations to help sales, legal, operations and financial professionals maximize revenue and other critical business outcomes. The resulting actions accelerate and optimize Apttus' CPQ, CLM, E-Commerce and Revenue Management solutions that comprise Apttus Omni. Max's success stems from an overwhelming customer need for speed and efficiency in executing revenue operations and managing commercial relationships.
According to the new research report "Artificial Intelligence in Supply Chain Market by Offering, Technology, Application (Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Freight Brokerage), End-User Industry, and Geography - Global Forecast to 2025", published by MarketsandMarkets, the market is expected to grow from USD 730.6 million in 2018 to USD 10,110.2 million by 2025, at a CAGR of 45.55% between 2018 and 2025. Major drivers for the market are the growth of big data, demand for greater visibility and transparency into supply chain data and processes, and adoption of AI for improving consumer services and their satisfaction. The major restraint for the market is the limited number of the artificial intelligent technology experts. Browse 64 market data Tables and 44 Figures spread through 176 Pages and in-depth TOC on "Artificial Intelligence in Supply Chain Market - Global Forecast to 2025" The software market is expected to grow at the highest CAGR for artificial intelligence in supply chain by 2025. The adoption of AI-based software solutions is increasing as it has beginning to apply machine learning capabilities that can automatically detect errors and make course corrections while processing real-time data streams.
ADP uses real, empirical, anonymized data from more than 30 million employees to anticipate how human work behaviors will evolve, and the impact that macro trends will have on the way people want and need to work. This year's Datathon focused on unearthing new ways to use the company's data and encouraging technologists across the company to incorporate data into all practices. "Our first Datathon was about testing the speed and process by which we can leverage our world-leading HCM database, which compiles proprietary data from over 90,000 clients," said Marc Rind, chief data scientist at ADP. "This time around, we brought in partners from across ADP to explore their needs and ideate on comprehensive solutions. We gathered the industry's greatest innovators for two weeks of end-to-end development, and will ultimately be able to deliver unmatched value to our clients as a result." Three teams conceived solutions that used machine learning and artificial intelligence to bring ADP data to life for how the future of work will evolve in three key areas, and outputs included the following.
Certain statements in this press release constitute "forward-looking statements," within the meaning of federal securities laws, including statements related to ICP technology, including financial projections related thereto and potential market opportunity, plans and prospects and other statements containing the words "anticipate," "intend," "may," "plan," "predict," "will," "would," "could," "should," and similar expressions, constitute forward-looking statements within the meaning of The Private Securities Litigation Reform Act of 1995. The Company's actual results could differ materially from those anticipated in these forward-looking statements as a result of various factors. Factors that could cause future results to materially differ from the recent results or those projected in forward-looking statements include the known risks, uncertainties and other factors described in the Company's definitive proxy statement filed on May 29, 2018, the Company's Quarterly Report on Form 10-Q for the quarter ended March 31, 2018 and on the Annual Report on Form 10-K for the year ended December 31, 2017 as well as the Company's prior filings and from time to time in the Company's subsequent filings with the Securities and Exchange Commission. Any change in such factors, risks and uncertainties may cause the actual results, events and performance to differ materially from those referred to in such statements. All information in this press release is as of the date of the release and the Company does not undertake any duty to update this information, including any forward-looking statements, unless required by law.
Sonasoft Corporation is a publicly traded corporation and is listed on the OTC Markets under the trading symbol SSFT. Sonasoft is now an AI-first company. The Company intends to integrate artificial intelligence (AI) into the Company's core business model, which includes enterprise-class email archiving, eDiscovery, and business continuity software solutions for Microsoft Business Applications on Microsoft Windows platforms. Sonasoft's signature products for eDiscovery tools, which include SonaVault 5.0 Email Archiving and eDiscovery Software, as well as SonaVault Email Archiving Appliances, deliver affordable enterprise-level functionality that exceeds compliance and ease-of-use requirements of small and medium-sized businesses, governments, school districts, organizations, and enterprises. The company also launched SonaSecure, which protects systems from ransomware and other email-based threats as well as provides email continuity services.
Clients across all industry sectors will be served by a new specialty practice in Artificial Intelligence (AI) at Heidrick & Struggles (Nasdaq: HSII), a premier provider of executive search, leadership assessment and development, organization and team effectiveness, and culture shaping services globally. Machine learning and other advanced forms of AI can help companies in every sector move beyond process automation that has helped drive efficiency and growth. Integrating and optimizing adaptive changes made possible by AI can provide massive competitive advantage. But there is a critical shortage of leaders with the ability to apply a deep understanding of AI to completely rethink and transform an organization's business model. Led by Ryan Bulkoski, a San Francisco-based partner, Heidrick & Struggles' AI Specialty Practice will help clients identify and develop senior talent needed to bring the power of emerging technologies to their business.