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Category: Enterprise software & integration (Page 1 of 34)

Adobe announces updated Firefly

Adobe updated Firefly, their all-in-one app for AI-assisted content ideation, creation and production. Firefly empowers creators to generate images, video, audio and vectors from a single place with creative control, iterate on their creations across Adobe’s creative apps and seamlessly deliver them into production. The choice of partner models includes Google Cloud and OpenAI and AI-powered tools deeply integrated into Creative Cloud apps.

Firefly includes all of Adobe’s commercially safe creative AI models, including the new Firefly Image Model 4 for lifelike images, the new Firefly Image Model 4 Ultra for detail and complexity and the Firefly Video Model which generates footage from text prompts and images with creative control.

Firefly also provides creative professionals with the choice to explore in different aesthetic styles using models from partners, with Google Cloud and OpenAI models available today and models from partners including fal .ai, Ideogram, Luma, Pika and Runway available in the coming months. The all-new Firefly Boards, now in public beta in Firefly, gives creators an AI-first surface for moodboarding, exploring creative concepts, iterating on hundreds of variations at once and collaborating on ideation. 

Creators can use Firefly on the web today, with the mobile app coming soon.

https://www.adobe.com/ai/overview/firefly/gen-ai-approach.html

Elastic’s Cloud Serverless now on Google Cloud Marketplace

From the Elastic blog…

Today, we are excited to announce the general availability of Elastic Cloud Serverless on Google Cloud — now available in the Iowa (us-central1) region. Elastic Cloud Serverless provides the fast way to start and scale observability, security, and search solutions without managing infrastructure. Built on the Search AI Lake architecture, which leverages Google Cloud Storage, it combines storage, separate storage and compute, low-latency querying, and advanced AI capabilities.

  • No compromise on speed or scale: Elasticsearch Serverless dynamically scales to accommodate your workload, handling unpredictable traffic spikes automatically — all while delivering low-latency search on boundless object storage.
  • Hassle-free operations: Say goodbye to managing clusters, provisioning nodes, or fine-tuning performance. Free your team from operational tasks — no need to manage infrastructure, do capacity planning, upgrade, or scale data. 
  • Purpose-built product experience: Elastic Cloud Serverless offers a streamlined workflow to help you create projects tailored to your unique use cases in observability, security, and search. With guided onboarding, you can use in-product resources and tools that guide you every step of the way, accelerating time to value.
  • Flexible usage-based pricing model: Elastic Cloud Serverless offers a usage-based pricing model that scales with your needs.

https://www.elastic.co/blog/elastic-cloud-serverless-google-cloud-general-availability

Sitecore launches AI Innovation Lab

Sitecore, a provider of digital experience and content management software, launched Sitecore AI Innovation Lab, a program created in collaboration with Microsoft that provides a guided environment for marketing professionals to rapidly explore AI-driven solutions for optimizing content operations. It helps marketers define their AI journey and fast track the development of solutions best suited for their specific use cases.

A Sitecore AI Innovation Lab guided environment explores AI-driven solutions with Microsoft Azure and Azure OpenAI Services. Participants work alongside Sitecore and Microsoft experts to prototype solutions for their unique challenges using an agile, low risk approach. The result is either a validated AI solution or learnings to help marketers achieve their business objectives. AI innovations developed with customers will be integrated into Sitecore’s DXP to further enhance, improve and future-proof the platform.

Sitecore recently released more than 250 enhancements for its composable DXP to help marketers create, build, and optimize digital experiences and content that align with their brand identity and drive engagement and conversions. Sitecore Stream helps marketers meet evolving customer expectations by speeding the creation and delivery of personalized digital experiences across all touchpoints.

The Sitecore AI Innovation Lab is available to current Sitecore customers.

https://www.sitecore.com/products/ai-innovation-lab

Altair partners with Databricks

Altair, a global provider in computational intelligence, has partnered with Databricks, a data and AI company, to provide joint customers with capabilities for data unification, graph-powered intelligence, and enterprise-grade artificial intelligence (AI).

Customers can use Altair RapidMiner to access, prepare, and analyze data in Databricks without data duplication. The platform’s full-stack AI capabilities—from low-code AutoML to MLOps, agent frameworks, and high-speed visualization, allow organizations to prototype, deploy, and scale AI applications using data stored in Databricks.

A key differentiator is Altair RapidMiner’s massively parallel processing (MPP) knowledge graph technology, purpose-built to support knowledge graph creation, data fabrics, and ontology modeling at enterprise scale. By integrating with Databricks, customers can use the Altair RapidMiner knowledge graph engine to connect, contextualize, and activate all types of data—structured, unstructured, and streaming. These graph-powered fabrics form the foundation for a new generation of intelligent systems, enabling generative AI models and autonomous agents to navigate the full complexity of an organization’s digital operations.

Altair RapidMiner also offers native support for SAS language execution, allowing customers to preserve and extend the value of their existing analytics investments while modernizing their workflows.

https://altair.com/altair-rapidminer ■ https://www.databricks.com

Introducing Aura-2: Enterprise-grade text-to-speech

Deepgram, a voice AI platform for enterprise use cases, announced Aura‑2, its next-generation text-to-speech (TTS) model purpose-built for real-time voice applications in mission-critical business environments. Engineered for clarity, consistency, low-latency performance, and deployable via cloud or on-premises APIs, Aura‑2 enables developers to build scalable, human-like voice experiences for automated interactions across the enterprise, including customer support, virtual agents, and AI-powered assistants. Aura-2 is built on Deepgram Enterprise Runtime—the infrastructure that powers the company’s speech-to-text (STT) and speech-to-speech (STS) capabilities, providing enterprises with the control, adaptability, and performance required to deploy and scale production-grade voice AI.

A significant gap exists between entertainment-focused models and the operational demands of enterprise-grade voice systems. Entertainment-focused TTS platforms are trained on and optimized for storytelling, character voices, and emotionally expressive delivery. Enterprise applications require more than natural-sounding voices, they demand domain-specific pronunciation, a professional tone, consistent contextual handling, and the ability to perform reliably, cost-effectively, and securely, often in environments that require full deployment control.

Aura-2 is powered by Deepgram Enterprise Runtime (DER)—a custom-built infrastructure layer that runs all of Deepgram’s speech models. Designed specifically for enterprise-grade performance, DER orchestrates voice AI in real time with the speed, reliability, and adaptability required for production-scale deployments.

Introducing Aura-2: Enterprise-Grade Text-to-Speech

MindsDB brings federated data access to Model Context Protocol

MindsDB announced comprehensive support for the Model Context Protocol (MCP) across both its open source and enterprise platforms. This integration positions MindsDB as a unified AI data hub that standardizes and optimizes how AI models access enterprise data, simplifying artificial intelligence deployment in complex data environments.

The Model Context Protocol, an emerging open standard developed by Anthropic, creates a universal way for AI applications to connect with data sources and tools. By implementing MCP, MindsDB enables AI applications and agents to run federated queries over data stored in different databases and business applications as if they were a single database. MindsDB’s implementation extends beyond basic MCP compatibility to:

  • Provide one-step querying across multiple sources with comprehensive audit capabilities
  • Integrate with existing enforcement mechanisms to maintain data governance
  • Enable complex workflows including multi-source joins, automated data transformations, and natural language query conversion
  • Use native integrations when MCP support is insufficient and optimizes queries for efficient execution at the data source

MCP support is available in both MindsDB’s open source and enterprise editions. The open source version provides core MCP functionality for developers and small teams, while the enterprise edition adds advanced security, governance features, and premium support for organizational deployments.

https://mindsdb.com

Perplexity integrates firmly.ai ecommerce technology

Perplexity, an AI answer engine, announced it will be integrating firmly.ai agentic ecommerce technology to scale access to Perplexity’s native shopping experience. This collaboration enables seamless purchases for all consumers and merchants of any size.

Consumers are increasingly using Perplexity to shop online. By embedding firmly.ai’s Agentic commerce platform, Perplexity empowers more users to complete their entire shopping journey, from product discovery to secure transaction, without leaving the platform. This streamlined solution not only shortens the purchase funnel but also solves latency, improving the consumer experience.

With a single integration to firmly.ai’s API, Perplexity can now connect to any e-commerce merchant. Merchants can tap into this new sales channel instantly while retaining their merchant of record (MOR) status, ensuring full control over transactions, customer relationships, and data. Merchants can access millions of potential customers while protecting the value of their brand. For more information and to apply to be part of the native marketplace, visit the firmly.ai site.

https://www.firmly.aihttps://www.perplexity.ai

Databricks brings Anthropic Claude models to platform

Databricks announced a five-year partnership to offer Anthropic models and services natively through the Databricks Data Intelligence Platform. Combined with Databricks Mosaic AI, the deal brings Anthropic’s Claude models directly to over 10,000 companies, alongside their business-critical, proprietary data. Anthropic’s newest frontier model, Claude 3.7 Sonnet, is now available via Databricks on AWS, Azure and Google Cloud Platform.

Databricks Mosaic AI provides the tools to build domain-specific AI agents on organizations’ data that deliver results with governance across the entire data and AI lifecycle, while Anthropic’s Claude models optimize for real-world tasks.

  • Build domain-specific agents on enterprise data: Anthropic Claude provides advanced reasoning, planning and problem-solving capabilities, helping customers build and deploy domain-specific AI agents that can handle large, diverse data sets with a large context window.
  • Integrated natively with the Data Intelligence Platform: Available via SQL query and model endpoint, Claude models integrate into the Databricks Data Intelligence Platform. Enterprises can customize Claude models with retrieval augmented generation (RAG) by automatically generating vector indexes or fine-tuning models with enterprise data.
  • Unified governance and responsible AI development: Combines Anthropic’s safety research and constitutional AI approach with Databricks’ Unity Catalog, a unified and open governance solution for data and AI.

https://www.databricks.com/company/newsroom/press-releases/databricks-and-anthropic-sign-landmark-deal-bring-claude-models

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