Significant advances have been made during the past few years in the ability of artificial intelligence (AI) systems to recognize and analyze human emotion and sentiment, owing in large part to accelerated access to data (primarily social media feeds and digital video), cheaper compute power, and evolving deep learning capabilities combined with natural language processing (NLP) and computer vision. According to a new report from Tractica, these trends are beginning to drive growth in the market for sentiment and emotion analysis software. Tractica forecasts that worldwide revenue from sentiment and emotion analysis software will increase from $123 million in 2017 to $3.8 billion by 2025. The market intelligence firm anticipates that this growth will be driven by several key industries including retail, advertising, business services, healthcare, and gaming. According to Tractica's analysis, the top use case categories for sentiment and emotion analysis will be as follows: "A better understanding of human emotion will help AI technology create more empathetic customer and healthcare experiences, drive our cars, enhance teaching methods, and figure out ways to build better products that meet our needs," says principal analyst Mark Beccue.

I Know First was selected from over 200 companies to be part of the fintech showroom in Tokyo, Japan on May 23rd, 2018. The showroom event, as well as a housewarming party, were hosted by JIAM (Japan International Asset Management Consortium, where I Know First presented their Algorithmic AI solutions using machine-learning algorithms. As part of the showroom event, I Know First gave a short pitch under 5 minutes followed by a deeper dive and demo if visiting client were interested. JIAM are a not-for-profit organization, which assists international asset management firms, asset management technology firms and talented financial professionals in tapping into the Japanese market. Through collaboration with Japanese government agencies (primarily the Tokyo Metropolitan Government) and industry associations, JIAM's goal is to bolster the Japanese asset management industry and support firms and individuals associated with it.

The Artificial Intelligence Market is segmented on the Basis of Technology Type, End-User Type and Regional Analysis. By Technology Type this market is segmented on the basis of Machine learning, Natural language processing, Image processing and Speech recognition. By End-User Type this market is segmented on the basis of Media & advertising, BFSI, IT & telecom, Retail, Healthcare, Automotive & transportation and Others. By Regional Analysis this market is segmented on the basis of North America, Europe, Asia Pacific, Latin America, Middle East and Africa.

The intelligent network market report aims at estimating the market size and growth potential of the market across segments: application, end-user, enterprise size, and region. Northbrook, IL -- (SBWIRE) -- 07/30/2018 -- The information cognition segment is expected to grow faster during the forecast period. Among applications, information cognition is expected to have a larger market share during the forecast period, as there is an increasing need for information cognition on data accumulation of networking operations which include network characteristics, trace route, traffic matrix, and other such data functionalities. The telecom service providers segment is estimated to have the largest market size in 2018. Among end-users, the cloud service providers segment is expected to grow at the fastest rate during the forecast period.

By automating tasks such as feature engineering and machine learning model creation, data scientists are now able to create fraud prevention solutions as much as 50 times faster than is possible with the traditional data science workflow. Increasingly intelligent fraud attacks require teams to act faster than ever to fight evolving fraud risks on multiplying fronts. Feedzai AutoML enables teams to deliver results faster and to quickly expand to new use cases, channels, and geographies. Now, data scientists can quickly generate the most relevant features and models, and adapt more quickly to fast-evolving fraud schemes and attack vectors. Feedzai AutoML works by automating and integrating the most repetitive and time-consuming steps in the data science pipeline, freeing data scientists to perform more consequential tasks.

The CardLinx Association today announced that their industry-defining event The CardLinx Asia Forum will be held in China for the first time on September 5th at the Grand Hyatt Shanghai. This executive-level event will focus on artificial intelligence and commerce in the development of payments, retail tech and travel tech in Asia. The speakers are from global leaders such as Mastercard and Sumitomo Mitsui Card Company and leading Chinese innovators like 55Haitao, YouWorld, MaFengWo and CTrip. "CardLinx Forums have consistently launched strategic partnerships and spawned new fintech innovations around the globe," said CardLinx President and CEO, Silvio Tavares. "Major online-to-offline commerce innovators in China and across the world will participate to develop the next generation of AI-driven fintech and commerce technologies."

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Matrix is the fastest, most scalable parallel file system for AI and technical compute workloads. TuSimple's goal is to develop a Level 4 autonomous truck driving solution, for the dock-to-dock delivery of commercial goods. The company, which was founded by entrepreneurs from the California Institute of Technology, has facilities in San Diego, Calif. and Tucson, Ariz., and to date its technology has been road-tested for some 15,000 miles. TuSimple chose WekaIO Matrix after comparisons with other scale-out file systems demonstrated that only Matrix has the ability to meet its most demanding performance requirements. "WekaIO Matrix was the clear choice for our on-premises DNN training in the U.S. It was understood from the outset that a standard network-attached storage (NAS) solution would not be able to scale to the extent we would need it to, and apart from Matrix being the most performant of all the parallel file systems we evaluated, we really liked the fact that it is hardware-independent, allowing us better control over our infrastructure costs. We are also taking full advantage of WekaIO's object storage capability, which is much more economical than an all-flash system, and allows us to efficiently scale our data catalog in a single namespace," said Dr. Xiaodi Hou, Co-founder and CTO at TuSimple.

While the popular image of artificial intelligence seems to come from a Hollywood blockbuster, the reality is less epic and more pervasive. "AI is like a spreadsheet on steroids," explains Xaxis VP of product engineering and AI expert Sara Robertson in the new report "Digital Strategy in the Age of Artificial Intelligence." The result is an improved way for ad buyers to find and define audiences, refine creative messaging, generate audience personas and develop bidding strategies. But the most powerful potential of AI lies in its ability to optimize toward business outcomes rather than simple metrics. That requires advertisers to conceive and build campaigns around the unique opportunities and strategies afforded by AI. The truth is, AI isn't about robots.

"At this moment, it's not a particularly hospitable environment," said Mark Natkin, managing director of industry research firm Marbridge Consulting. "I'd imagine getting such a search permit would be difficult, if not impossible for the company." In the past week, Apple Inc. came under fire from Chinese state media for not doing enough to block illegal content. The week before, Qualcomm Inc. abandoned its acquisition of Dutch chip maker NXP Semiconductors NV after a deadline to gain approval in China passed. About the same time, Facebook Inc. announced plans to build an "innovation hub" for developers in eastern China--but the business license was then pulled, and the project appears to have been sidelined.