Mercatus announced the availability of PDF Parser, technology-augmented PDF data extraction for private markets. The Mercatus platform’s PDF Parser feature mitigates the challenges of data on-boarding, help to eliminate manual extraction of asset reports, investor memos and other custom reporting. Because PDFs are designed for humans and not computers, they do not have a defined structure that allows users to gather data from it easily. The Mercatus data management platform allows users to query, search, filter, merge, sort and extract texts and images from any PDF documents in an effective way. Features include:
- Document Parser Templates – leverage configurable document Parser templates for automated and repeatable data extraction from assets, performance reports, investor memos and more.
- Batching and Historical Entry – Upload a batch of PDFs at one time to load data for single or multiple entities. Upload decades worth of data in minutes.
- Auditing and Governance – Construct data lineage across an entire investment portfolio. Track and audit where data is coming from, how it is being used and who is using it.
https://www.gomercatus.com/
Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents. In most of the cases this activity concerns processing human language texts by means of natural language processing (NLP). Recent activities in multimedia document processing like automatic annotation and content extraction out of images/audio/video could be seen as information extraction.
Expert System announced the release of the expert.ai NL API, a cloud-based Natural Language API that enables data scientists, computational linguists, knowledge engineers and developers to easily embed advanced Natural Language Understanding and Natural Language Processing capabilities (NLU / NLP) into their applications. The free expert.ai NL API provides natural language understanding capabilities based on Expert System’s symbolic approach that leverages AI-based algorithms, machine learning and knowledge graph to provide advanced features for reading and understanding any text, out of the box. Developers and data scientists can bring NLU applications such as text analytics, search and insight engines, content enrichment, tagging and processing, chatbots and virtual assistants, sentiment analysis, email management, contract exposure comparison etc. to market faster. expert.ai NL API features include:
- Deep linguistic analysis that parses each sentence into tokens, lemmas, parts of speech and phrases
- Accurate syntactic analysis that enables the extraction of entity relationships
- Word sense disambiguation that resolves semantic ambiguities by leveraging Expert System’s knowledge graph, pinpointing the precise meaning of concepts in context
- Precise named entity recognition and linking that identify people, companies, locations and other entity types, linking them to leading knowledge bases like Wikidata, Geonames and DBpedia
- Document classification based on IPTC Media Topics
https://expertsystem.com
Document classification or document categorization is a problem in library science, information science and computer science. The task is to assign a document to one or more classes or categories. This may be done “manually” (or “intellectually”) or algorithmically. The intellectual classification of documents has mostly been the province of library science, while the algorithmic classification of documents is used mainly in information science and computer science.
SAP announced its intent to take Qualtrics public through an initial public offering (IPO) in the United States. Qualtrics’ focus is on experience management, and SAP intends to remain the majority owner of Qualtrics. SAP’s primary objective for the IPO is to fortify Qualtrics’ ability to capture its full market potential in the market for experience management solutions. This will help to increase Qualtrics’ autonomy and enable it to expand its footprint both within SAP’s customer base and beyond. Qualtrics, which is part of SAP’s cloud portfolio, has operated with greater autonomy than other companies SAP had previously acquired. The founder, Ryan Smith, the and current management team of Qualtrics will continue to operate the company. Ryan Smith intends to be Qualtrics’ largest individual shareholder.
SAP agreed to acquire Qualtrics just four days before Qualtrics was to go public in 2018, recognizing the potential of bringing together experience and operational data to help organizations take action. SAP is committed to experience management and the Qualtrics XM Platform as a key element of its Intelligent Enterprise Strategy. SAP will remain a close innovation and go-to-market Qualtrics partner. A final decision on the IPO and its timing is pending and subject to market conditions. Since SAP, as majority shareholder, will continue to fully consolidate Qualtrics, the transaction is not expected to have an impact on SAP’s 2020 or longer-term financial targets.
https://www.qualtrics.com/news/sap-announces-intent-to-take-qualtrics-public/
SyncWords launched the next generation of its media localization platform for translating and subtitling both live and on-demand videos in over 100 languages. Content creators have traditionally faced significant barriers to localizing their content including high costs, technical hurdles, and long turnaround times. SyncWords AI automates the process, enabling realtime subtitling solutions and delivering subtitles for pre-recorded content that reduces the time, effort, and cost of machine translation post-editing workflows. SyncWords’ media localization AI provides smart parsing and handling of content and metadata through the translation process and assembles the translated output into UX-optimized subtitles while transferring word-level timings to ensure timing accuracy throughout. The next generation of SyncWords’ media localization AI extends the accuracy and quality of results that can be produced through automation by introducing features for precise adherence to source templates, word-level alignments of translations with the source, automated alignment of human translations with source, and maximum context for translations, among other features.
https://syncwords.com
Amazon Web Services Inc. announced the general availability of Contact Lens, a set of capabilities for Amazon Connect enabled by machine learning, that gives contact centers the ability to understand the sentiment, trends, and compliance of customer conversations to improve their experience and identify crucial feedback. Amazon Connect is a cloud contact center service that helps companies of any size deliver customer service on the same technology as Amazon’s customer service.
Contact Lens capabilities are built into the Amazon Connect experience, and provides metadata (such as transcriptions, sentiment, and categorization tags) in customers’ Amazon Simple Storage Service (Amazon S3) buckets in a well-defined schema. Businesses can export this information and use additional tools like Amazon QuickSight or Tableau to do further analysis and combine it with data from other sources. Contact Lens requires no technical expertise, and getting started takes just a few clicks in Amazon Connect.
https://aws.amazon.com/connect/contact-lens
Dassault Systèmes announced the enhancement of collaborative data science capabilities on the 3DEXPERIENCE platform. Dassault Systèmes’ customers can capitalize on their data patrimony by engaging in new virtual twin experiences in which knowledge found in unstructured text data is transformed into actionable content and insights. This follows the acquisition of the privately-held company Proxem, a France-based specialist in artificial intelligence-powered semantic processing software and services, and provider of customer experience analysis solutions.
Dassault Systèmes has integrated Proxem’s Proxem Studio, into the 3DEXPERIENCE platform to complement NETVIBES EXALEAD information intelligence applications. This accelerates the portfolio of available AI models, while transforming public and accessible content into a reusable industry knowledge graph. Proxem Studio delivers a combination of rule-based natural language understanding, natural language processing, and machine learning technologies.
The combination of AI with modelling and simulation applications will enable 3DEXPERIENCE platform users to automate the interpretation of knowledge found in requirements, regulations, customer and quality feedback, contracts, as well as in scientific publications, research reports or clinical trial results. This triggers new collaboration opportunities and facilitates planning and execution across the extended enterprise.
http://www.3ds.com
