This press release, from which no legal consequences may be drawn, is for information purposes only. The entities in which TOTAL S.A. directly or indirectly owns investments are separate legal entities. TOTAL S.A. has no liability for their acts or omissions. In this document, the terms "Total" and "Total Group" are sometimes used for convenience where general references are made to TOTAL S.A. and/or its subsidiaries. Likewise, the words "we", "us" and "our" may also be used to refer to subsidiaries in general or to those who work for them.
What is open public sector information and why is it important for the data economy? In the EU, the public sector holds vast amounts of data, from geographical and weather data to education, economic and social data, known as public sector information (PSI). This data can be widely accessible and reused, sometimes under non-restrictive conditions. Data is of utmost importance to the European economy. According to this study, the total direct economic value of public sector information is expected to increase from €52 billion in 2018 in the EU28, to €194 billion in 2030.
Google continues to add regional cloud partners as it seeks to differentiate its public cloud offerings while distributing its machine learning building blocks. Atos, the French big data platform and server vendor, announced a partnership with Google Cloud this week addressing secure hybrid cloud, data analytics and machine learning along with "digital workplace" initiatives. Atos (EPA: ATO) said it would establish three machine learning and AI labs in France, U.K. and the U.S. that will use Google's training expertise to develop new machine learning models and applications. "Together, we will enable fast and smooth adoption of AI for enterprises," said Thierry Breton, chairman and CEO of Atos, Bezons, France. "With this partnership, Atos becomes the'last mile' of the digital information chain."
Experts have said for years that, as artificial intelligence (AI) improves and spreads, more businesses will continue to find ways to integrate it into how they function. Earlier this year, a report from Narrative Science and the National Business Research Institute found that more than 60% percent of companies surveyed had already implemented AI in some fashion and were looking for more ways to take advantage of the tech. Research from Gartner has validated this investment in AI, finding that worldwide business value derived from AI reached $1.2 trillion in 2018, a growth of 70%. This massive leap forward is only the beginning, with the value derived from AI slated to grow to $3.9 trillion by 2022. John-David Lovelock, research vice president at Gartner, said in a press release that AI was instrumental in advancing business interests in a number of different ways and would be key to future disruption in certain industries.
Conversica, the leader in conversational AI for business, today announced that its AI-based sales assistant technology is now deeply integrated with Microsoft Dynamics 365 and is available from the Microsoft AppSource online marketplace. The Conversica AI Sales assistant integrated with Microsoft Dynamics 365 enables Microsoft customers to easily leverage Conversica's state-of-the-art conversational AI technology to automatically follow up with leads in their CRM and marketing automation systems. Conversica assistants, powered by advanced natural language processing and machine learning technology, carry on natural, two-way conversations with leads to engage and qualify them for sales. This automated lead follow-up ensures that 100 percent of marketing's leads are contacted 100 percent of the time and results in more meetings and, thus, more opportunities for sales. "Microsoft Dynamics 365 customers are some of the most sophisticated marketing and sales teams; however, they can still struggle with ensuring all the leads generated by marketing are qualified and handed off to sales at the right time," commented Victor Belfor, Senior Vice President of Business Development of Conversica.
Smart Home Telematics company positions itself to pursue the growing interest among forward-thinking insurance carriers for data-driven insights and customer engagement. VANCOUVER, BC AND NEW YORK CITY, NY – 04-25-2018 (Press Release Jet) -- Plasmatic Technologies (Plasmatic) is pleased to announce the addition of Mike Moen to its advisory team, where he will assist the company as it caters to the tremendous need for innovation in Property and Casualty Insurance. David Sussman, Chief Executive Officer of Plasmatic stated: "We are very excited to enlist Mr. Moen's industry knowledge, deep relationships, and track record in analytics-based businesses. Mike's strong collaboration with our leadership team has already helped validate the appeal of our solutions with decision makers at top insurance carriers and Insurtech scouts in some of the more prominent industry hubs". With over 20 years of experience as an entrepreneur and business executive, the enlistment of Plasmatic's latest advisor is a sign of definitive momentum in the sector, where device-driven insights and mobile experiences are poised to help insurance providers deliver more personalized services and augment their policyholders relationships.
Comcast continued to shed video customers in the first quarter, but is more than offsetting the slide with high-speed Internet and business services. In the first quarter, Comcast reported net income of $3.12 billion, or 66 cents a share, on revenue of $22.79 billion, up 10.7 percent from a year ago. Excluding items, Comcast reported earnings of 62 cents a share in the first quarter. Wall Street was expecting Comcast to report first quarter earnings of 59 cents a share on revenue of $22.75 billion. There are multiple moving parts in Comcast, but Comcast Business is growing the fastest.
Newswire) Autonomous Research, a global research firm focused on financial services, has announced the publication of Augmented Finance and Machine Intelligence, an in-depth look at the way artificial intelligence is transforming the financial services industry. Autonomous estimates that over $1 trillion of today's financial services cost structure could be replaced by machine learning and AI. This would affect 2.5 million employees in the US alone. This shift will impact operations across all functions and segments of the financial industry, from bank tellers to portfolio managers to insurance underwriters. By 2030, Autonomous expects $490 billion in costs to be exposed to AI in distribution, $350 billion in the middle office, and $200 billion in financial product manufacturing.
Redwood City, Calif., April 24, 2018 – Informatica, the enterprise cloud data management leader, today announced the integration of Axon Data Governance with Informatica Data Quality, Enterprise Data Catalog and Secure@Source . This comprehensive, AI-powered enterprise data governance solution enables business and IT teams to collaborate and to operationalize their data governance program and reliably deliver trusted and protected data. This intelligent data governance solution fuels strategic business initiatives, drives privacy and protection, and supports regulatory compliance efforts. Specifically, this solution enhances business and IT collaboration on critical objectives and quickly closes any gaps as they are identified. As a result, data governance outcomes are optimized.
YouTube parent company Google on Monday released what it said would be the first quarterly report outlining efforts to enforce its community guidelines. The report, which looked at the last quarter of 2017, said that it removed eight million videos from YouTube during the quarter, adding that the videos it removed "were mostly spam or people attempting to upload adult content." Of note, however, is that YouTube's machine-learning algorithm spotted the overwhelming majority of the content. During the company's quarterly earnings call Monday, Google CEO Sundar Pichai said that "over six million videos removed in Q4 were first flagged by our machine systems, and over 75% of those videos were removed before receiving a single view." The company introduced its machine flagging in June, 2017.