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CircleBack, Inc. Brings Productivity-Focused AI to the Enterprise

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Today, CircleBack, Inc. announced the launch of 3 APIs based on their artificial intelligence-driven engine, SharedIQ, to revolutionize the state of B2B contact data productivity. Each of the APIs--Email Signature Capture, Contact Append & Company Append--offers enterprise customers the opportunity to build high-accuracy, high-value contact data flow into the hearts of their offerings and bolster the efficiency of the CRM, Marketing Automation Systems, and Account-Based Marketing tools currently on the market. Since the launch of the CircleBack app in early 2015, CircleBack, Inc. has worked to offer businesses the same access to its proprietary AI engine that it offers to over 2 million app users. The CircleBack engine uses artificial intelligence and billions of contact data points to discover, append, and update enterprise contact data. "CircleBack APIs will bring organizations much-needed control of their contact data," explains Manoj Ramnani, CircleBack, Inc. Founder and CEO.


HCL Technologies Wins Best AI Innovator AIconics Award for DRYiCE

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HCL Technologies (HCL), a leading global IT services provider, won the Award for Best AI Innovator at the 2016 AIconics Awards, which celebrate drive, innovation, and hard work in the international Artificial Intelligence Community. HCL won for Satori, a DRYiCE(TM) module that is an AI-enabled web application combining the functions necessary for traditional and 21st-century enterprises, such as content and document management, personal profiling, enterprise social networking, enterprise search, business intelligence, workflow management, and an enterprise application store. The category for Best AI Innovator celebrates the company that is at the front-end of AI innovation, investing significantly in R&D, and committed to advancing the industry. HCL's high placement in these awards underscores the company's commitment to bringing innovative automation and AI solutions to the enterprise. In May, the company won for Best Innovation in Natural Language Processing (NLP) at the London AIconics Awards.


Getting down to Business with AI: Double Economic Growth Rates, Boost Labor Productivity

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One of the examples of these areas in action is work Accenture is doing using a a combination of drones, computer vision, Bayesian learning and geospatial analytics to survey palm fields in Indonesia. Through the application of Artificial Intelligence, we've been able to help a leading forestry company in Indonesia analyze over 1 million records and 6000 variables covering 15 years across 0.5 million hectares of land. This involves combinations of disparate data such as GIS, Video, Water table, Soil information, historical inventory, work orders and more. Through this work we've helped identify deforestation and growth patterns, and identify areas and species where planting seedlings to reforest is not effective. We've gone from what used to take 36 human hours of analysis down to minutes.


Global Artificial Intelligence for Enterprise Applications 2016-2025: 31.2 Billion Market Analysis and Forecasts - 200 Use Cases for AI That are Classified Into 25 Industry Sectors - Research and Markets

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The analysis has identified nearly 200 real-world enterprise use cases for AI that are classified into 25 industry sectors. The firm forecasts that revenue for enterprise AI applications will increase from 358 million in 2016 to 31.2 billion by 2025, representing a compound annual growth rate (CAGR) of 64.3%. Artificial intelligence (AI) technologies are quickly gaining mindshare among corporate executives around the world, driving a proliferation of use cases that touch virtually every industry. AI technologies, which include deep learning, machine learning, natural language processing (NLP), and computer vision, among others, are designed to endow computers with human-like faculties such as hearing, seeing, reasoning, and learning. But AI enables computers to do some things better than humans, especially when it comes to processing very large amounts of data quickly, efficiently, and accurately.


Microsoft Partners with Adobe on Dynamics 365 - Petri

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Microsoft announced today that it will make Adobe Marketing Cloud the preferred marketing service for its Dynamics 365 Enterprise offering. The new partnership will give customers a powerful, comprehensive marketing service for intelligent business applications, Microsoft says. First announced in July ahead of its Worldwide Partner Conference, Microsoft Dynamics 365 will become available to customers in the coming weeks. It is a new, Azure cloud-hosted combination of the software giant's CRM (customer relationship management) and ERP (enterprise resource management) solutions. The goal is clear enough: To modernize these capabilities and bring them to market as a public cloud business management service.


Cognonto Empowers Knowledge-Based Artificial Intelligence - DATAVERSITY

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According to a recent press release, "Cognonto, a new start-up in knowledge-based artificial intelligence (KBAI), announced today the dual release of its Cognonto Platform and KBpedia, a computable knowledge structure to automate much of the effort needed for machine learning. KBpedia leverages six large-scale knowledge bases -- Wikipedia, Wikidata, GeoNames, OpenCyc, DBpedia and UMBEL -- into a single structure expressly designed to support artificial intelligence (AI) within enterprises." Michael Bergman, a co-founder of Cognonto, commented, "Many of the AI advances in recent years, such as question answering on smart phones or systems that beat human contestants in Jeopardy, are built around Web knowledge bases like Wikipedia… But these are one-off systems that only the largest tech firms or research outfits can afford… The idea behind Cognonto is to democratize this process such that any enterprise can afford to train their own machine learners or gain the advantages of knowledge-based artificial intelligence." The release continues, "KBpedia combines the hundreds of thousands of concepts and 20 million entities in its source knowledge bases in a structure that separately captures entities, attributes, relations and topics, the types by which they are categorized, and the connections between them. One innovation of the system, according to Bergman, is the schema, or "knowledge graph," that organizes KBpedia according to the logic of Charles Sanders Peirce, a noted 19th century American mathematician, philosopher and polymath."


Wipro and Vectra Networks Partner to deliver Automated 'Threat Hunting as- a- Service'

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Wipro will leverage the Vectra automated threat management platform built with artificial intelligence-based on machine learning and behavioral analytics to detect attacker behaviors and user anomalies in the network. According to Gartner, "most enterprises have limited capabilities to detect and respond to breaches when they inevitably occur, resulting in longer'dwell times' and increased damage." We believe organizations these days incur significant fines because they do not have adequate solutions to detect breaches or cannot contain them in a reasonable period. Gartner also says that by 2020, 60% of enterprise information security budgets will be allocated to rapid detection and response approaches -- up from less than 10% in 2014.1 As threats became more intelligent and sophisticated, traditional security solutions will become inadequate over time because they will continue to make snap judgments based on incomplete information. Wipro's'Threat Hunting as- a- Service' offering, powered by Vectra Networks, provides enterprises with an automated threat hunting platform for real-time detection of threats.


Cognonto Empowers Knowledge-based Artificial Intelligence

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CORALVILLE, Iowa--(BUSINESS WIRE)--Cognonto, a new start-up in knowledge-based artificial intelligence (KBAI), announced today the dual release of its Cognonto Platform and KBpedia, a computable knowledge structure to automate much of the effort needed for machine learning. KBpedia leverages six large-scale knowledge bases -- Wikipedia, Wikidata, GeoNames, OpenCyc, DBpedia and UMBEL -- into a single structure expressly designed to support artificial intelligence (AI) within enterprises. "Many of the AI advances in recent years, such as question answering on smart phones or systems that beat human contestants in Jeopardy, are built around Web knowledge bases like Wikipedia," said Michael Bergman, a co-founder of Cognonto. "But these are one-off systems that only the largest tech firms or research outfits can afford," he said. "The idea behind Cognonto is to democratize this process such that any enterprise can afford to train their own machine learners or gain the advantages of knowledge-based artificial intelligence."


Tractica Launches Artificial Intelligence Advisory Service - DATAVERSITY

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A new press release reports, "Today Tractica announced the launch of its new Artificial Intelligence Advisory Service, a subscription-based market research and analysis suite that provides independent and objective market intelligence and strategy insights for companies engaged in the rapidly evolving artificial intelligence (AI) market. As part of the service, Tractica's global industry analyst team provides strategic and quantitative analysis focused on the market opportunity for AI technologies in enterprise, consumer, and government markets." Managing director Clint Wheelock commented, "Artificial intelligence technologies are already beginning to have a disruptive effect on established business models across virtually every industry, while simultaneously enabling new business processes that were not previously possible… Rapid advances in AI technologies like deep learning, machine learning, computer vision, and natural language processing (NLP) are being enabled by more powerful hardware, sophisticated algorithms, and a virtually limitless ocean of data to analyze and interpret." The release goes on, "As part of its Artificial Intelligence service, Tractica's industry analysts offer timely and actionable market insights, covering specific technology and industry sectors as well as overall market conditions and trends. Research reports include an in-depth examination of AI business models, use cases, technology issues, and key industry players in addition to detailed market sizing, segmentation, and forecasts.


Machine Learning Market Statistics - Ironpaper

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The global cognitive computing market is expected to reach 12.5 billion in 2019, up from 2.5 billion in 2014, at a CAGR of 38%. Cognitive computing is another way of describing machine learning, an area of computer science which sees machines recognizing patterns and learning new material -- without being explicitly programmed by a human. As more businesses identify benefits of cognitive computing, the machine learning market is growing. Possible applications of machine learning are vast and varied. A survey from 451 Research outlines future initiatives that will impact the growth, use of, and quality of data under management, which is a critical component of machine learning and AI.