Sinequa said its neural search function can answer natural language questions, thanks to four deep learning models it developed with Microsoft Azure and Nvidia teams. Enterprise search company Sinequa is adding a neural search option to its platform with the aim of giving improved accuracy and relevance to customers. Sinequa said the new AI function is the first commercially available system to use four deep learning language models. Combined with the platform's natural language processing and semantic search abilities, Sinequa said this will lead to improved question-answering and search relevance. The Sinequa Search Cloud platform is designed to help employees find relevant information and insights from all enterprise sources in any language in the context of their work.

Airbus Helicopters will improve its Technical Support and Customer Service by using Sinequa's intelligent search platform. Fremont, CA: "Sinequa is proud to work with Airbus Helicopters to help advance the company's digitalization of its processes, and to improve the findability of vital information across the organization," states Stephane Kirchacker, Vice President, EMEA, at Sinequa. Using Sinequa's Intelligent Search platform, Airbus Helicopters, the world's largest helicopter manufacturer and a branch of Airbus, has improved its technical assistance and customer experience. With this solution, Airbus Helicopters provides self-service technical assistance, thereby enhancing the customer experience and enabling professionals to operate more efficiently while getting valuable insights that contribute to the aircraft's safety. Sinequa's extensible AI-powered search platform with advanced Natural Language Understanding (NLU), multi-language support, and text mining capabilities will help Airbus Helicopters' Technical Support team develop a specialized search application – internally dubbed Hyperion – that will enable self-service support and autonomy for over 20 percent of customer queries, with an estimated 60 percent resolution rate for simple queries.

IBM Watson is considered the grandfather of cognitive search and natural language processing, and Scott Parker was there for its birth. The company he worked for at the time, Vivisimo, had been acquired by IBM, and its enterprise search technology formed a major component of the Watson solution. That was Parker's introduction to the art and science of enterprise search technologies. Now the director of product marketing at enterprise search technology company Sinequa, Parker leverages the power of intelligent search to help extract valuable insights from customer's data. Sinequa is a sponsor of Simpler Media Group's Digital Workplace Experience, starting today as a free, virtual event.

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"Cognitively enabled applications, especially those dealing with unstructured data, are clearly the future for better information delivery to users in a wide range of industries and work environments," said David Schubmehl, Research Director at IDC. "By 2020, 50% of all business analytics software will include prescriptive analytics built on cognitive computing functionality." In order to achieve the quantum leap into the world of Cognitive Computing with this new version, Sinequa has integrated the Spark platform in its distributed architecture and implemented Machine Learning algorithms on Spark within the core of its product. "Our law firm has built a system leveraging Sinequa's Search & Analytics platform to get insight about our experience from millions of records and documents including attorney biographies, subject matter summaries, time notes/billable hours and more. We are excited about this new version with Machine Learning based on Spark and look forward to the added value it can provide to us," said Harris Tilevitz, CTO at Skadden, Arps, Slate, Meagher & Flom LLP. With nearly 1,700 attorneys, Skadden, Arps, Slate, Meagher & Flom LLP is one of the highest-grossing law firms in the world.