enterprise knowledge
The Extensibility of Knowledge Graphs for Natural Language Understanding
The universal applicability of enterprise knowledge--across use cases, domains, and languages--is widely understood. And, it's likely the main reason adoption rates for knowledge graphs have steadily inclined of late, making them one of the most utilitarian forms of AI available today. True knowledge graphs are extensible and predicated on standards designed to share data of any type. Such graphs are inherently composable, enabling users to either combine them or enrich them with knowledge of all sorts. These options are critical for not only simplifying the management of enterprise knowledge for Natural Language Understanding deployments, but also for redoubling the value organizations reap from knowledge graphs across a burgeoning array of use cases.
Rescuing Machine Learning with Symbolic AI for Language Understanding - Expert.ai
From your average technology consumer to some of the most sophisticated organizations, it is amazing how many people think machine learning is artificial intelligence or consider it the best of AI. This perception persists mostly because of the general public's fascination with deep learning and neural networks, which several people regard as the most cutting-edge deployments of modern AI. The reality, however, is much more complex. There are certainly use cases in which machine learning is very capable. For example, it works well for computer vision applications of image recognition or object detection.
Io-Tahoe: Enabling Industries to Transform Their Data Pools into Enterprise Knowledge
Io-Tahoe is a leading Intelligent Automation (IA) software provider designed to accelerate valuable knowledge from across fragmented enterprise data. The proven Io-Tahoe IA Suite provides comprehensive services to build enterprise-scale automation to manage and govern the entire data value chain more efficiently and cost-effectively than alternative approaches. Since 2017, Io-Tahoe has built strong and long-lasting customer and partner relationships with industry leaders including Oracle, Red Hat, AWS, Google, Snowflake, and MongoDB. Io-Tahoe serves customers and developers across industries to deploy IA Workers in Banking, Insurance, Media & Telecoms, Healthcare, Government, Utilities, Retail and Energy. By providing immersive 360 view of data that needs to be applied to regulatory compliance (GHG, ESG, CSR reporting), Io-Tahoe excels in the field of data analytics.
EK Listed on KMWorld's AI 50 Leading Companies - Enterprise Knowledge
Enterprise Knowledge (EK) has been listed on KMWorld's inaugural list of leaders in Artificial Intelligence, the AI 50: The Companies Empowering Intelligent Knowledge Management. KMWorld developed the list to help shine a light on innovative knowledge management vendors that are incorporating AI and cognitive computing technologies into their offerings. As a services provider and thought leader in Enterprise AI, Knowledge Management, and Semantic Search, EK is one of the few dedicated services organizations included on the list. EK was uniquely recognized for our leadership in this area, including our AI Readiness Benchmark and range of functional demos that harness knowledge graphs, natural language processing, ontologies, and machine learning tools. "As the drive for digital transformation becomes an imperative for companies seeking to compete and succeed in all industry sectors, intelligent tools and services are being leveraged to enable speed, insight, and accuracy," said Tom Hogan, Group Publisher at KMWorld.
Metadata Management for the Machinery Industry - PoolParty News
Vienna, November 19th of 2019, Semantic Web Company (Austria) and PANTOPIX (Germany) have announced a comprehensive cooperation to provide the machinery industry with expertise in metadata management and structured information. Semantic Web Company (SWC), based in Vienna, is the leading provider of graph-based metadata management. The Germany Company PANTOPIX is a high-end specialist for improving information processes, developing data models as well as providing intelligent information for technical documentation. The key pillar of the partnership is to develop taxonomies, ontologies and large-scale Enterprise Knowledge Graphs to make target-oriented technical content available to internal and external customers. Knowledge Graphs enable companies to process large amounts of data from various silos and adding value to it so that it can be used in meaningful and more intelligent ways. It provides a structure and common interface for all data and enables the creation of smart multilateral relations throughout databases.
Joe Hilger Chairing SEMANTiCs US Conference - Enterprise Knowledge
Enterprise Knowledge is pleased to announce that COO, Joe Hilger, will be chairing SEMANTiCs US. For 15 years, the SEMANTiCS conference has served as the leading European conference on Semantic Technologies and AI. Researchers, industry experts, and business leaders have attended the conference to learn about the latest trends in the fields of Machine Learning, Data Science, Linked Data, and Natural Language Processing. Teaming with Semantic Web Company, Enterprise Knowledge is sponsoring the conference to ensure its expansion into the Western Hemisphere. The inaugural SEMANTiCS US will be held in Austin, TX, April 21-23, 2020 at the AT&T Conference Center.
Enterprise Search in 2020 and Beyond: 5 Trends to Watch
Enterprise search has been stuck in the 1990s for two decades now. It's hard to believe search hasn't kept pace with the explosion of data. The two must go hand in hand. Yet many of us go to work every day at big companies with complex knowledge management systems and fat IT budgets. We sit down, make a coffee, and before we know it, we're transported back to 1997 whenever we need to find a document.