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Category: Enterprise software & integration (Page 1 of 39)

Adobe and NVIDIA announce strategic partnership

March 16, 2026 /

Adobe and NVIDIA today announced a strategic partnership that will bring together Adobe’s creative and marketing workflows, models and technology and NVIDIA’s open models, libraries, research and accelerated computing to deliver the next generation of foundational Adobe Firefly models and creative, marketing and agentic workflows.

Firefly models will be built on NVIDIA’s computing technology and tap into NVIDIA CUDA-X, NVIDIA NeMo libraries, NVIDIA Cosmos open models, and NVIDIA Agent Toolkit software to enable interactive, high-quality creation.

Adobe and NVIDIA will also work together on NVIDIA NemoClaw— an open source stack that simplifies running OpenClaw always-on assistants more safely.

With NVIDIA, Adobe is launching a cloud-native, brand identity-preserving 3D digital twin solution (public beta). The solution creates virtual replicas of physical products that act as permanent digital identities for marketing and commerce experiences. Integrating NVIDIA Omniverse libraries into Adobe technologies, the collaboration expands support for 3D digital twin workflows built on OpenUSD for marketing content automation.

Adobe will also harness NVIDIA AI infrastructure, AI libraries, services and models to optimize its AI-powered tools across creativity, productivity and customer experience orchestration.

Adobe and NVIDIA Announce Strategic Partnership to Deliver the Next Generation of Firefly Models and Creative, Marketing and Agentic Workflows

Databricks launches Genie Code

March 11, 2026 /

Databricks launched Genie Code, an autonomous AI agent that changes how data work gets done. Genie Code can carry out complex tasks such as building pipelines, debugging failures, shipping dashboards, and maintaining production systems. Just as agentic coding tools have transformed software engineering, moving developers from autocomplete-style assistance to agent-driven development, Genie Code brings the same paradigm shift to data engineering, data science, and analytics.

Genie Code is a new addition to Genie, which lets any knowledge worker chat with their data and get trusted answers instantly using the context and semantics captured by Unity Catalog. Genie Code extends this approach to data professionals, handling the complex engineering required to go from idea to production across all enterprise data.

Genie Code helps teams bridge the context gap to ensure the high levels of accuracy and governance required for production environments:

  • Handles full ML workflows end-to-end.
  • Accounts for differences between staging versus production environments, builds workflows for change data capture and applies data quality expectations.
  • Monitors Lakeflow pipelines and AI models to triage failures and investigate anomalies.
  • Integrated with Unity Catalog, enforces governance policies and access controls. It understands business semantics and audit requirements and federates enterprise data, including data from external platforms.

https://www.databricks.com/company/newsroom/press-releases/databricks-launches-genie-code-bringing-agentic-engineering-data

Graphwise announced the immediate availability of GraphRAG

February 17, 2026 /

Graphwise announced the availability of Graphwise GraphRAG, a low-code AI-workflow engine designed to turn “Python prototypes” into production-grade systems instantly. It is based on a trusted semantic layer that reduces hallucinations and delivers precise and verifiable answers. GraphRAG unites LLMs, enterprise data, structured knowledge, and multiple search methods to deliver transparent, verifiable, enterprise-ready answers. Unlike standard RAG that “flattens” data into chunks leading to lost relationships and hallucinations, GraphRAG treats the knowledge graph as a trusted semantic backbone, ensuring AI responses are grounded in verifiable enterprise facts and complex relationships. Graphwise bridges the gap between complex enterprise data and functional AI agents. Features include:

  • Low-Code Visual Engine democratizes AI, enabling subject matter experts to adjust AI logic visually.
  • Out-of-the-Box Templates provide guardrails and support query expansion that deliver the fastest time-to-value.
  • Semantic Metadata Control Plane eliminates hallucinations and improves AI accuracy. AI responses are grounded in an organization’s “enterprise truth,” reducing risk.
  • Explainability and Provenance Panels support regulatory compliance. Built-in traceability affords transparency into how an AI response was produced.
  • Visual Debugging and Monitoring reduce maintenance costs by eliminating black box code.
  • SKOS-style Concept Enrichment harnesses domain-specific intelligence. This means AI understands company specific jargon, acronyms, and synonyms out-of-the-box.

https://graphwise.ai/news/new-graphrag-solution-moves-beyond-vector-only-rag-knowledge-graphs-provide-context-and-common-sense-to-ai

Snowflake makes enterprise data AI-ready with Snowflake Postgres

February 3, 2026 /

Snowflake, an AI Data Cloud company, announced advancements that make data AI-ready by design, allowing enterprises to rely on data that is continuously available, usable, and governed as AI transitions from experimentation into production systems. With new enhancements to Snowflake Postgres, the database now runs natively in the AI Data Cloud so enterprises can consolidate their transactional, analytical, and AI use cases onto a single, secure platform. To help ensure AI systems are trusted at enterprise scale, Snowflake is embedding enhanced interoperability, governance, and resilience features into its platform.

Powered by pg_lake, a set of PostgreSQL extensions that allow Postgres to easily work within an organization’s open and interoperable lakehouse grounded in Apache Iceberg, enterprises can leverage Snowflake Postgres to directly query, manage, and write to Apache Iceberg tables using standard SQL. This capability is delivered within a Postgres environment, so enterprises can eliminate data movement between transactional and analytical systems.

Enterprises need data that remains open, governed, and resilient as it flows across engines, formats, and environments. Snowflake is expanding how customers access, share, and govern their data. Open Format Data Sharing extends Snowflake’s zero-ETL sharing model to include formats such as Apache Iceberg and Delta Lake.

https://www.snowflake.com/en/news/press-releases/snowflake-makes-enterprise-data-ai-ready-with-snowflake-postgres-and-advanced-innovations-for-open-data-interoperability

Elastic adds high-precision multilingual reranking to new Elastic Inference Service

February 3, 2026 /

Elastic, a Search AI Company, made two Jina Rerankers available on Elastic Inference Service (EIS), a GPU-accelerated inference-as-a-service that makes it easy to run fast, high-quality inference without complex setup or hosting. These rerankers bring low-latency, high-precision multilingual reranking to the Elastic ecosystem.

Rerankers improve search quality by reordering results based on semantic relevance, helping surface the most accurate matches for a query. They improve relevance across aggregated, multi-query results, without reindexing or pipeline changes. This makes them valuable for hybrid search, RAG, and context-engineering workflows where better context boosts downstream accuracy. The two new Jina reranker models are optimized for different production needs:

Jina Reranker v2 (jina-reranker-v2-base-multilingual)
Built for scalable, agentic workflows.

  • Low-latency inference with strong multilingual performance.
  • Ability to select relevant SQL tables and external functions that best match user queries..
  • Scores documents independently to handle arbitrarily large candidate sets.

Jina Reranker v3 (jina-reranker-v3)
Optimized for high-precision shortlist reranking.

  • Optimized for low-latency inference and efficient deployment in production settings.
  • Strong multilingual performance; maintains stable top-k rankings under permutation.
  • Cost-efficient, cross-document reranking: v3 reranks up to 64 documents together in a single inference call, reasoning across the full candidate set to improve ordering when results are similar or overlapping.

https://ir.elastic.co/news/news-details/2026/Elastic-Adds-High-Precision-Multilingual-Reranking-to-Elastic-Inference-Service-with-Jina-Models/default.aspx

Upland announces BA Insight Platform with integrated AI search experiences for enterprises

February 3, 2026 /

Upland Software, Inc., a provider of AI-powered knowledge and content management software, announced the Upland BA Insight Platform. The new BA Insight Platform incorporates SmartHub, ConnectivityHub, AutoClassifier, Smart Preview, and Connectors to deliver search experiences that are more connected, more contextual, and more actionable. Features include:

  • Knowledge Graphs to deliver deeper, connected, and more contextualized insights by mapping relationships across complex datasets
  • Agentic Retrieval-Augmented Generation (RAG) to provide more accurate answers to complex questions through conversational AI interfaces
  • Amazon Q Business Integration to enable users to connect and perform generative actions against organizational content via the seamless AI-powered assistant

BA Insight introduces native integrations with Amazon Q Business and AWS generative AI assistant, enabling organizations to unlock conversational search and gain actionable insights across all content sources, securely. By working closely with AWS, BA Insight ensures customers benefit from seamless deployment, robust security, and continuous innovation, empowering organizations to maximize the value of their information and accelerate their AI journey. The unified BA Insight enterprise search and AI enablement platform is available in AWS Marketplace.

https://investor.uplandsoftware.com/news/news-details/2026/New-Upland-BA-Insight-Platform-Delivers-Integrated-AI-Search-Experiences-for-Enterprises/default.aspx

DeepL launches voice API for real-time speech transcription and translation for instant multilingual communication

February 2, 2026 /

DeepL, a global AI product and research company, announced the general availability of DeepL Voice API. Developers can now integrate real-time voice transcription and translation capabilities into their applications, enhancing multilingual support for businesses.

The DeepL Voice API allows businesses to stream audio and receive transcriptions in the source language, along with translations into up to five target languages. The API provides a seamless experience, so language barriers do not hinder effective communication.

The DeepL API enables: 

  • Hire for expertise, not language coverage DeepL Voice API lets contact centers staff agents who understand the customer issue and the business context, even when they do not speak the customer’s language.
  • Expand talent pools while managing costs By reducing the need for language specific staffing, teams can centralize or distribute support more flexibly, which can lower operating costs and improve coverage planning.
  • Provide reliable coverage in urgent moments Real time translation helps teams maintain service levels during nights, weekends, and holidays, when fewer specialized language agents are available.
  • Two way understanding, not just text on screen Agents can follow the conversation through live translated audio, alongside on screen transcription and translation, so they can respond naturally and confidently in the moment.

https://www.deepl.com/en/press-release/deepl_launches_voice_api_for_real_time_speech_transcription_and_translation

Verndale acquires the Product Experience Division of Amp

January 22, 2026 /

Verndale, a digital experience and technology company, today announced the acquisition of the Product Experience Division of Amp, from Advantage Solutions. They will operate as Verndale as part of the acquisition.

The move is to Verndale’s position as a modern growth partner, expanding its ability to take brands from initial concept to fully built digital products, and continuously optimize them for measurable business impact.

The Product Experience Division of Amp is known for combining its product design, UX, engineering and digital marketing capabilities via an embedded approach to building digital product experiences for global brands across tech, CPG, healthcare, and consumer industries. The team brings deep capabilities in product strategy, rapid prototyping, product development, and ongoing management through SEO, analytics, and experimentation.

The acquisition strengthens Verndale’s ability to support the full lifecycle of digital experience, from ideation and UX through engineering, activation, and ongoing product management. It also expands Verndale’s reach into growth-minded verticals such as technology and CPG, where brands increasingly expect partners to blend product development with performance marketing and experience optimization.

This acquisition reflects Verndale’s continued investment in building a next-generation digital experience platform, combining product, UX, engineering, data, and marketing capabilities into a single, accountable partner.

https://www.verndale.com/about-us/news/verndale-acquires-product-experience-division-of-amp

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