IBM has been named a leader in AI-Based Text Analytics Platforms by The Forrester Wave ™, Forrester's rigorous evaluation of vendors in a software, hardware, or services market. Watson Discovery, Watson Explorer, and Watson Natural Language Understanding’s strengths and weaknesses were assessed alongside seven other providers.
Autodesk is developing Autodesk Contract Explorer (ACE), using Watson Compare & Comply. Compare & Comply is trained on contract structure and language – and it contextually understands PDFs, the documents of business.
We're thrilled to share that IBM Watson Studio was named winner for the "Best innovation in Deep Learning" at the world-renowned, independently-judged AIconics awards in London this week. IBM won the award for "being a pioneer in deep learning, helping to drive machine learning applications towards the true potential of AI."
IBM Watson Studio and Watson Knowledge Catalog include Data Refinery for self-service data preparation. Data Refinery puts data pre-processing and feature engineering in the hands of data scientists, enabling faster data insights.
Contracts are often thought of as large files which are created, signed and then filed away until there is cause for renewal, termination, legal action or to justify payment. AI platforms like Watson transform contracts from stand-alone, static forms into integrated, "living" entities that contribute to a knowledge base.
Facing steady growth in customer and business volumes, Prudential recognized it needed an easily scalable and cost-effective solution to support a growing number of queries from financial consultants. Prudential created a scalable, intelligent chatbot using Watson AI to provide financial consultants with real-time customer-specific policy information.
Bluewolf, an IBM Company, offers unique, sales-specific AI solutions that help businesses add Watson capabilities to Salesforce’s Einstein AI tool.
IBM has created Watson Compare & Comply, a powerful suite of offerings that will bring together powerful capabilities to turn documents into data and enable procurement, legal, analyst, regulatory and governance teams to spot risk and manage exceptions more quickly and with greater accuracy.
Applying artificial intelligence to implement an insight engine will not only ensure businesses keep up, but lead. Especially considering only 7% of companies are able to consistently deliver real-time, data-driven experiences across all customer touchpoints and across both digital and physical engagements.