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Category: Computing & data (Page 10 of 80)

Computing and data is a broad category. Our coverage of computing is largely limited to software, and we are mostly focused on unstructured data, semi-structured data, or mixed data that includes structured data.

Topics include computing platforms, analytics, data science, data modeling, database technologies, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing applications such as machine translation, and knowledge graphs.

Related categories: Semantic technologies, Web technologies & information standards, and Internet and platforms.

Typeface announces integration within Microsoft Dynamics 365

January 11, 2024 /

Typeface, a generative AI platform for enterprise content creation, and Microsoft today announced an AI-powered experience within Microsoft Dynamics 365 Customer Insights, a customer data platform and journey orchestration solution, aimed at transforming how marketers work by reducing the complexities of end-to-end campaign management and enhancing marketer productivity and ROI. 

To use this AI-powered experience in Dynamics 365 Customer Insights, marketing teams can simply type their desired campaign outcome in their own words or upload an existing brief. Copilot then responds by generating a central project board that recommends and connects everything needed for the campaign, including audience data, journey orchestration, and channels – all in the flow of work. While creating their campaign, marketers will have access to Typeface, so they can generate and curate on-brand content directly within Dynamics 365 Customer Insights. For Dynamics 365 Customer Insights customers, an early access public preview, will be released in the first quarter of 2024.

https://www.typeface.ai/blog/typeface-announces-integration-within-microsoft-dynamics-365-customer-insights-to-help-redefine-marketer-experiences

OpenAI introduces ChatGPT Team 

January 10, 2024 /

From the OpenAI blog…

We’re launching a new ChatGPT plan for teams of all sizes, which provides a secure, collaborative workspace to get the most out of ChatGPT at work…

ChatGPT Team offers access to our advanced models like GPT-4 and DALL·E 3, and tools like Advanced Data Analysis. It additionally includes a dedicated collaborative workspace for your team and admin tools for team management. As with ChatGPT Enterprise, you own and control your business data—we do not train on your business data or conversations, and our models don’t learn from your usage. More details on our data privacy practices can be found on our privacy page and Trust Portal. ChatGPT Team includes:

  • Access to GPT-4 with 32K context window
  • Tools like DALL·E 3, GPT-4 with Vision, Browsing, Advanced Data Analysis—with higher message caps
  • No training on your business data or conversations
  • Secure workspace for your team
  • Create and share custom GPTs with your workspace
  • Admin console for workspace and team management
  • Early access to new features and improvements

We recently announced GPTs—custom versions of ChatGPT that you can create for a specific purpose with instructions, expanded knowledge, and custom capabilities. These can be especially useful for businesses and teams. With GPTs, you can customize ChatGPT to your team’s specific needs and workflows (no code required) and publish them securely to your team’s workspace. GPTs can help with a wide range of tasks, such as assisting in project management, team onboarding, generating code, performing data analysis, securely taking action in your existing systems and tools, or creating collateral to match your brand tone and voice. Today, we announced the GPT Store where you can find useful and popular GPTs from your workspace.

ChatGPT Team costs $25/month per user when billed annually, or $30/month per user when billed monthly. You can explore the details or get started now by upgrading in your ChatGPT settings.

https://openai.com/blog/introducing-chatgpt-team

Axel Springer and OpenAI partner to deepen beneficial use of AI in journalism 

December 13, 2023 /

From Axel Springer…

Axel Springer and OpenAI have announced a global partnership to strengthen independent journalism in the age of artificial intelligence (AI). The initiative will enrich users’ experience with ChatGPT by adding recent and authoritative content on a wide variety of topics, and explicitly values the publisher’s role in contributing to OpenAI’s products. This marks a significant step in both companies’ commitment to leverage AI for enhancing content experiences and creating new financial opportunities that support a sustainable future for journalism.

With this partnership, ChatGPT users around the world will receive summaries of selected global news content from Axel Springer’s media brands including POLITICO, BUSINESS INSIDER, and European properties BILD and WELT, including otherwise paid content. ChatGPT’s answers to user queries will include attribution and links to the full articles for transparency and further information.

In addition, the partnership supports Axel Springer’s existing AI-driven ventures that build upon OpenAI’s technology. The collaboration also involves the use of quality content from Axel Springer media brands for advancing the training of OpenAI’s sophisticated large language models.

Mathias Döpfner, CEO of Axel Springer: “We are excited to have shaped this global partnership between Axel Springer and OpenAI – the first of its kind. We want to explore the opportunities of AI empowered journalism – to bring quality, societal relevance and the business model of journalism to the next level.”

Brad Lightcap, COO of OpenAI: “This partnership with Axel Springer will help provide people with new ways to access quality, real-time news content through our AI tools. We are deeply committed to working with publishers and creators around the world and ensuring they benefit from advanced AI technology and new revenue models.”

https://www.axelspringer.com/en/ax-press-release/axel-springer-and-openai-partner-to-deepen-beneficial-use-of-ai-in-journalism

Franz unveils AllegroGraph 8.0

December 11, 2023 /

Franz Inc. announced AllegroGraph 8.0, a Neuro-Symbolic AI Platform that incorporates Large Language Model (LLM) components directly into SPARQL along with vector generation and vector storage for a comprehensive AI Knowledge Graph solution. AllegroGraph 8.0 combines Machine Learning (statistical AI) with knowledge and reasoning (symbolic AI) capabilities to solve problems that require reasoning and learn efficiently with less data, expanding applicability and produces decisions understandable to humans. AllegroGraph 8.0 includes: 

  • Retrieval Augmented Generation (RAG) for LLMs – AllegroGraph 8.0 guides Generative AI content through RAG, feeding LLMs with the ‘source of truth.’ This approach helps avoid ‘hallucinations’ by grounding the output in fact-based knowledge.
  • Natural Language Queries and Reasoning – The LLMagic functions serve as the bridge between human language and machine understanding, offering a dynamic natural language interface for querying and reasoning processes.
  • Enterprise Document Deep-insight – New VectorStore capabilities offer a bridge between enterprise documents and Knowledge Graphs, allowing users to access knowledge hidden within documents.
  • AI Symbolic Rule Generation – AllegroGraph offers built-in rule-based system capabilities tailored for symbolic reasoning, distilling complex data into actionable, interpretable rules.
  • Streamlined Ontology and Taxonomy Creation – LLMagic can streamline the complex and often labor-intensive task of crafting ontologies and taxonomies for any topic.

https://allegrograph.com/new-allegrograph-v8-neuro-symbolic-ai-platform/

Neo4j collaborating with AWS to enhance generative AI results

November 21, 2023 /

Neo4j announced a multi-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to enable enterprises to achieve better generative artificial intelligence (AI) outcomes through a combination of knowledge graphs and native vector search that reduces generative AI hallucinations while making results more accurate, transparent, and explainable.

Neo4j also anncounced a new integration with Amazon Bedrock, a managed service that makes foundation models from AI companies accessible via an API to build and scale generative AI applications. Neo4j’s native integration with Amazon Bedrock enables:

  1. Reduced Hallucinations: Neo4j with Langchain and Amazon Bedrock can now work together using Retrieval Augmented Generation (RAG) to create virtual assistants grounded in enterprise knowledge.
  2. Personalized experiences: Neo4j’s context-rich knowledge graphs integration with Amazon Bedrock can invoke an ecosystem of foundation models that generate personalized text generation and summarization for end users.
  3. Get complete answers during real-time search: Developers can leverage Amazon Bedrock to generate vector embeddings from unstructured data (text, images, and video) and enrich knowledge graphs using Neo4j’s new vector search and store capability.
  4. Kickstart a knowledge graph creation: Developers can leverage new generative AI capabilities using Amazon Bedrock to process unstructured data so it becomes structured and load it into a knowledge graph.

https://neo4j.com/press-releases/neo4j-aws-bedrock-integration/

Ontotext and TopQuadrant partner to accelerate adoption of graph and semantic technologies

November 16, 2023 /

Ontotext, a semantic data and knowledge graph technology provider, and TopQuadrant, a provider of software tools for data governance and semantics, announced a partnership to bring advantages to their shared customer base. With TopQuadrant, Ontotext clients gain a knowledge graph creation and curation tool that enables new data governance use cases, while TopQuadrant clients benefit from improved scalability, usability, and performance. The combination of front and back-end systems enables:

  1. Scalability and Performance for Large Data Sets: With Ontotext’s RDF database GraphDB, semantic data products such as taxonomies, tag lists, metadata stores, and code lists, can now scale to handle master data management and enterprise data quality and validation efforts.
  2. Policy Enforcement and Automation: TopQuadrant’s expertise in data governance and metadata management will help clients enforce policies across organizations’ full data landscape, mitigating risk of regulatory fines such as for GDPR.
  3. Pharma R&D Semantic Solution: This solution will enable data models to capture data and improve data quality, enhancing collaboration and efficiency, automating regulatory reporting and ultimately enabling new insights into drug discovery.
  4. Semantic Data Catalog: The semantic approach for active metadata management harmonizes data and metadata across an entire organization. The semantic data catalog actively populates metadata and makes data more interoperable and reusable.

https://www.ontotext.com/company/news/ontotext-and-topquadrant-a-powerful-partnership/

Fivetran deepens relationship with Microsoft; adds new data lake destinations

November 15, 2023 /

Fivetran announced its support for Microsoft OneLake through integration with Microsoft Fabric as a new data lake destination, and that Fivetran has been named a Microsoft Fabric Interoperability Partner. Together with support for Delta Lake on Azure Data Lake Storage (ADLS) Gen2, also announced today, Fivetran customers now have two Microsoft data lake destinations to securely consolidate their data workloads with any of Fivetran’s 400-plus pre-built, fully managed data pipelines. 

Because Fivetran automates data extraction, cleansing, conforming and converting data to Delta Lake format, customers are able to move faster in developing AI and generative AI-based projects.

OneLake serves as the unified data foundation for Microsoft Fabric, making it simple for customers to access their data through a file explorer, similar to Microsoft’s OneDrive for files. With OneLake, customers can create multiple workspaces within a single tenant.

Fivetran offers the flexibility and scalability that enterprises need to build a solid data lake foundation, across on-premise, cloud-based and third-party sources. Whether an organization has a hybrid or multi-cloud environment, Fivetran provides high-volume data movement with enterprise-ready reliability and uptime, and industry-standard practices for data encryption, with GDPR, IS0 27001 and SOC 2 Type II compliance.

https://www.fivetran.com/blog/fivetran-supports-microsoft-onelake-as-a-destination-through-integration-with-microsoft-fabric

Elastic unveils Elasticsearch Query Language (ES|QL)

November 7, 2023 /

Elastic the company behind Elasticsearch, today announced Elasticsearch Query Language (ES|QL), its new piped query language designed to transform, enrich and simplify data investigation with concurrent processing. ES|QL enables site reliability engineers (SREs), developers and security professionals to perform data aggregation and analysis across a variety of data sources from a single query. 

Over the last two decades, the data landscape has become more fragmented, opaque, and complex, driving the need for greater productivity and efficiency among developers, security professionals, and observability practitioners. Organizations need tools and services that offer iterative workflow, a broad range of operations, and central management to make security and observability professionals more productive. Elasticsearch Query Language key benefits include:

  • Delivers a comprehensive and iterative approach to data investigation with ES|QL piped query syntax.
  • Improves speed and efficiency regardless of data’s source or structure with a new ES|QL query engine that leverages concurrent processing.
  • Streamlines observability and security workflows with a single user interface, which allows users to search, aggregate and visualize data from a single screen.

ES|QL is currently available as a technical preview. The general availability version, scheduled for release in 2024, will include additional features to further streamline data analysis and decision-making.

https://www.elastic.co

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