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X1 launches Social Discovery On-Demand

X1, announced the availability of X1 Social Discovery On-Demand, a solution for the outsourced preservation and collection of social media data and website content. Full metadata collections and PDF reports from the X1 Social Discovery software can now be had within hours by corporate clients, law firms, investigators, law enforcement and government entities, with no hardware, software, staff investment or training required. Unlike other types of information, social media data can be challenging to preserve and collect due to constant changes in the underlying social media platforms themselves. Preserving and collecting social media information has become increasingly difficult, especially all-important ‘metadata’ which can corroborate or dispute key claims or defenses made in court.

With X1 Social Discovery On-Demand, organizations can begin receiving forensically collected social media and website data within hours of a request being made. Customers of X1 Social Discovery On-Demand simply contact X1 to initiate the preservation and collection for them with X1 returning to the customer a PDF and/or load file output. Customers are able to take advantage of this end-to-end solution provided by X1 in a secure cloud instance of X1 Social Discovery On-Demand. X1 can accommodate credentialed or non-credentialed collections.

https://www.x1.com

Oracle releases Oracle Database 21c

Oracle announced that Oracle Database 21c is available on Oracle Cloud, including the Always Free tier of Oracle Autonomous Database. Oracle Database 21c contains more than 200 new capabilities, including immutable blockchain tables, In-Database JavaScript, native JSON binary data type, AutoML for in-database machine learning (ML), and persistent memory store, as well as enhancements for in-memory, graph processing performance, sharding, multitenant, and security. Oracle Database 21c provides support for multi-model, multi-workload, and multi-tenant requirements within a single, converged database engine.

In addition, Oracle announced the availability of Oracle APEX (Application Express) Application Development, a new low-code service for developing and deploying data-driven enterprise applications quickly and easily. The browser-based, low-code cloud service enables developers to create modern web apps for desktops and mobile devices using an intuitive graphical interface.

Oracle Database 21c is the database engine that powers Oracle database services in the cloud and on-premises, including Oracle Autonomous Database, Oracle Exadata Database Service, Oracle Exadata Database Cloud@Customer, and Oracle Exadata Database Machine.

https://www.oracle.com/news/announcement/oracle-database-21c-011321.html

Expert.ai adds commercial options for NL API

Expert.ai announced the availability of commercial options for its NL API. Powered by expert.ai technology, which mimics the human ability to understand language and complex textual information, the expert.ai NL API provides advanced linguistic analysis out of the box, so developers and data scientists can reduce development costs and increase productivity while optimizing their natural language processing (NLP) applications. The introduction of the commercial offering builds upon the previously released freemium model to give users the ability to expand their usage of the expert.ai NL API and scale their apps, either standalone or embedded into an enterprise’s existing AI processes, by supporting larger volumes of data.

Expert.ai NL API features include linguistic analysis tools, embedded taxonomies for classification, and sentiment analysis. By resolving complexity associated with language, it streamlines the development of apps that rely on and process natural language content and unstructured data (contracts, internal database, news articles, academic papers, customer service emails, insurance policies, medical reports etc.) that typically is either not analyzed because it is inefficient or is analyzed manually which is expensive.

https://www.expert.ai/products/nl-api/, https://policies.expert.ai/nlapi/pricing/

Nuance launches patient engagement virtual assistant platform

Nuance Communications, Inc. launched an AI-powered patient engagement virtual assistant platform to transform voice and digital experiences across the patient journey. Combining healthcare expertise with intelligent engagement technology, the platform integrates and extends the capabilities of the electronic health record (EHR), customer relationship management (CRM), and Patient Access Center systems to enable healthcare provider organizations to modernize their ‘digital front door’ and improve clinical care. Leveraging the same conversational AI technology that consumer brands use to power their provider facing virtual assistant solutions, Nuance’s patient engagement platform now enables healthcare provider organizations to deliver improved patient experiences. Nuance’s new patient engagement platform provides an array of leading capabilities and business outcomes including:

  • Seamless, consistent and unified omnichannel experiences – No longer do healthcare organizations need separate siloed virtual assistant/bot systems for their voice (IVR), web, mobile/SMS and smart speaker/IoT devices.
  • Integrates and extends capabilities of core systems infrastructure – including the EHR, Patient Financial systems, CRM and patient access center (call center).
  • Provides “out-of-the-box” solutions and an advanced Do-It-Yourself (DIY) development tool.
  • Advanced and unified data analytics.
  • Runs on the Microsoft Azure HITRUST CSF-certified cloud platform.

https://www.nuance.com

Pega acquires Qurious.io for speech analytics

Pegasystems Inc. announced its acquisition of Qurious.io, Inc., a cloud-based real-time speech analytics solution powered by artificial intelligence (AI) for customer service teams. Terms of the deal are not being disclosed. Qurious.io’s software-as-a-service (SaaS) offering uses speech-to-text, natural language processing (NLP), and emotion detection capabilities to analyze the dialog within each customer service call as it happens. The software then provides agents with real-time insights and coaching so they can improve customer interactions, make better recommendations, and boost customer loyalty and sales. Pega plans to add Qurious.io’s capabilities to its software portfolio with an initial focus on Pega Customer Service use cases.

https://www.qurious.io/home, https://www.pega.com/about/news/press-releases/pega-acquires-quriousio-ai-powered-speech-analytics

Adobe completes acquisition of Workfront

Adobe announced the completion of its acquisition of Workfront, the work management platform for marketers with more than 3,000 customers and one million users. Adobe’s acquisition of Workfront will bring efficiency, collaboration and productivity gains to marketing teams currently challenged with siloed work management solutions. Both companies are established partners with strong product synergies and a growing base of over 1,000 shared customers.

Satisfying the increasing expectations of B2B and B2C customers requires large volumes of content and personalized marketing campaigns delivered at lightning speed and scale. This must be accomplished across increasingly dispersed teams, as remote work becomes prevalent in today’s environment and the future of work is redefined. Workfront has deep experience in orchestrating marketing workflows. Workfront’s platform is agile and architected for the enterprise, with extensive integration capabilities that can be easily configured to meet the varied needs of companies of all sizes. Workfront is equipped with APIs that enable a seamless connection to Adobe Creative Cloud and Adobe Experience Cloud for creative workflows and customer experience management. With the acquisition now closed, Workfront CEO Alex Shootman will continue to lead the Workfront team, reporting to Anil Chakravarthy.

https://www.workfront.com, https://news.adobe.com/news/news-details/2020/Adobe-Completes-Acquisition-of-Workfront/default.aspx

MarkLogic announces new Tableau connector

MarkLogic Corporation announced the availability of its new connector in the Tableau Extension Gallery, enabling fast and easy connections to the Tableau analytics platform. In the past few years, the explosion of data has created a disconnect between data aggregation and data consumption. Data silos have proliferated but business analysts only have access to a small subset of data in the enterprise. MarkLogic solves the problem by integrating multi-structured data from silos, curating that data, and making it fit-for-purpose for downstream consumption. Now, with just a few clicks, users can connect Tableau to MarkLogic and open up access to that curated data and get a more complete view of their business.

https://extensiongallery.tableau.com/connectors/202

Microsoft announces DeBERTa surpasses human performance on SuperGLUE

Microsoft announced that DeBERTa now surpasses humans on the SuperGLUE benchmark. SuperGLUE is a challenging benchmarks for evaluating NLU models. The benchmark consists of a wide range of NLU tasks, including question answering, natural language inference, co-reference resolution, word sense disambiguation, and others. Top research teams around the world have been developing large-scale pretrained language models (PLMs) that have driven performance improvement on the SuperGLUE benchmark. Microsoft recently updated the DeBERTa model by training a larger version that consists of 48 Transformer layers with 1.5 billion parameters. The performance boost makes the single DeBERTa model surpass the human performance on SuperGLUE for the first time in terms of macro-average score (89.9 versus 89.8), and the ensemble DeBERTa model sits atop the SuperGLUE benchmark rankings, outperforming the human baseline by a decent margin (90.3 versus 89.8). The model also sits at the top of the GLUE benchmark rankings with a macro-average score of 90.8.

Microsoft will release the 1.5-billion-parameter DeBERTa model and the source code to the public. In addition, DeBERTa is being integrated into the next version of the Microsoft Turing natural language representation model (Turing NLRv4). Our Turing models converge all language innovation across Microsoft, and they are then trained at large scale to support products like Bing, Office, Dynamics, and Azure Cognitive Services.

https://www.microsoft.com/en-us/research/blog/microsoft-deberta-surpasses-human-performance-on-the-superglue-benchmark/

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