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Artificial Intelligence is Fueling the Customer Experience Strategies of the World's Top Brands Today

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In contrast, only half of firms with low levels of customer experience satisfaction and low brand recognition currently employ enabling technologies -- and ten percent have no intention of doing so. The combined power of automation with the finesse of the human touch across the enterprise delivers the kind of blended AI solution every customer experience leader needs today." Overall, Getting to Iconic determines iconic companies are much more advanced in their deployment of leading customer experience technologies, including the use of emerging AI applications. Getting to Iconic is a briefing paper by MIT Technology Review based on a global survey of business leaders conducted between May and July 2017.


Nuance Nina Earns Industry Accolades for Innovation in Artificial Intelligence

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Nuance was honored alongside customers FedEx and IP Australia, with partner Datacom, for delivering notable customer experiences through natural language understanding, machine learning, and artificial intelligence. These recent wins come on the heels of Nuance Nina gaining recognition from leading global research firms including being ranked #1 among virtual assistant vendors in Forrester's Chatbot Vendor Ranking* and receiving the highest combined rating among virtual assistant vendors in Opus Research's "Decision Makers' Guide to Enterprise Intelligent Assistants. Nuance was honored alongside customers FedEx and IP Australia, with partner Datacom, for delivering notable customer experiences through natural language understanding, machine learning, and artificial intelligence. These recent wins come on the heels of Nuance Nina gaining recognition from leading global research firms including being ranked #1 among virtual assistant vendors in Forrester's Chatbot Vendor Ranking* and receiving the highest combined rating among virtual assistant vendors in Opus Research's "Decision Makers' Guide to Enterprise Intelligent Assistants.


Demandbase Transforms B2B Marketing with Next Generation ABM Platform

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I'm confident the new AI-based platform introduced today with fully integrated targeting, engagement and sales conversion solutions will set us apart for many years to come." The Demandbase ABM Platform makes it easy to build target accounts from CRM data, by uploading a pre-existing account list, or by leveraging buyer intent signals generated by the only AI-powered ABM platform that learns from 50 billion B2B interactions every month. As a result, the ABM Platform creates a better understanding of how well a particular audience or list of accounts is performing at each stage of the funnel and how well programs for that audience are performing. Enterprise leaders and high-growth companies such as Accenture, Adobe, DocuSign, GE, Grainger, Salesforce and others use Demandbase to drive their ABM strategy and maximize their marketing performance.


Oracle Transforms IT Security and Management with New Machine Learning Capabilities

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And that's what we've built with Oracle Management Cloud." Ellison contrasted Oracle Management Cloud with the security and management capabilities delivered by Splunk. About Oracle The Oracle Cloud offers complete SaaS application suites for ERP, HCM and CX, plus best-in-class database Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) from data centers throughout the Americas, Europe and Asia. With hundreds of demos and hands-on labs, plus exhibitions from more than 400 partners and customers from around the world, Oracle OpenWorld has become a showcase for leading cloud technologies, from Cloud Applications to Cloud Platform and Infrastructure.


BCS Technology Launches Machine Learning-Based Chatbot Solution to Drive Customer Insights

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BCS Technology, a Global IT company headquartered in Australia providing end to end solutions in big data and analytics, announced the launch of their chatbot solution -- Interactive Social Airline Automated Companion (ISAAC) built on Cloudera's modern platform for machine learning and analytics optimized for the cloud -- Cloudera Enterprise. The solution combines the use of modern big data analytics technologies and natural language processing (NLP) by leveraging Microsoft's LUIS framework and the Cloudera Enterprise platform. "With Cloudera's machine learning and advanced analytics technology at the core of ISAAC, businesses can now use data to gain valuable insights, make accurate business decisions faster and deliver better products and services to enhance their customers' experiences. With the exponential growth of BCS and big data, a new subsidiary named ML Labs has formed, specialising in providing machine learning and deep learning algorithm solutions to clients looking to begin their journey through big data and analytics.



Appvance Launches AI-Driven Test Automation

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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.


Consumers Want Female and Funny - But Not Youthful - Chatbots

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This press release includes information that constitutes forward-looking statements made pursuant to the safe harbor provision of the Private Securities Litigation Reform Act of 1995, including statements about Amdocs' growth and business results in future quarters. Such statements involve risks and uncertainties that may cause future results to differ from those anticipated. These risks include, but are not limited to, the effects of general economic conditions, Amdocs' ability to grow in the business markets that it serves, Amdocs' ability to successfully integrate acquired businesses, adverse effects of market competition, rapid technological shifts that may render the Company's products and services obsolete, potential loss of a major customer, our ability to develop long-term relationships with our customers, and risks associated with operating businesses in the international market. These and other risks are discussed at greater length in the Company's filings with the Securities and Exchange Commission, including in our Annual Report on Form 20-F for the fiscal year ended September 30, 2016 filed on December 12, 2016 and our quarterly 6-K form furnished on February 13, May 22 and August 14, 2017.


ibm-and-mit-to-pursue-joint-research-in-artificial-intelligence-establish-new-mitibm-watson-ai-lab-300515317.html

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IBM (NYSE: IBM) and MIT today announced that IBM plans to make a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab in partnership with MIT. The new lab will be one of the largest long-term university-industry AI collaborations to date, mobilizing the talent of more than 100 AI scientists, professors, and students to pursue joint research at IBM's Research Lab in Cambridge--co-located with the IBM Watson Health and IBM Security headquarters in Kendall Square, in Cambridge, Massachusetts--and on the neighboring MIT campus. In 2016, IBM Research announced a multi-year collaboration with MIT's Department of Brain and Cognitive Sciences to advance the scientific field of machine vision, a core aspect of artificial intelligence. Currently, the Computer Science and Artificial Intelligence Laboratory, the Media Lab, the Department of Brain and Cognitive Sciences, and the MIT Institute for Data, Systems, and Society serve as connected hubs for AI and related research at MIT.