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Category: Enterprise software & integration (Page 1 of 37)

Snowflake to acquire Datometry Migration Solution

From the Snowflake blog…

We’re thrilled to announce Snowflake has entered into a definitive agreement to acquire the technology powering the Datometry software migration solution, which makes moving from legacy data warehouses like Teradata to Snowflake up to four times faster while reducing costs by 90%. This new venture will enable our current and future customers to accelerate their data journey with faster migrations.

Datometry’s solution translates queries, scripts and workloads in real time, allowing applications built for legacy systems to run on Snowflake with minimal code changes.

We’re eager to start integrating the power of Datometry into SnowConvert AI. In addition to bringing Datometry’s capabilities to Snowflake, we’re thrilled to also welcome many talented Datometry employees, including Datometry founder and CEO Mike Waas, CTO Michael Duller, and VP of Customer Success Rima Mutreja. With their deep knowledge and expertise, we’re looking forward to collaborating to bring innovative developments in data migration to the Snowflake AI Data Cloud.

Snowflake’s free solutions, SnowConvert AI and Snowpark Migration Accelerator, reduce migration risks and costs and simplify code conversion to help customers realize more value from their data from day one.

https://www.snowflake.com/en/blog/accelerate-data-migration-datometry-technology

Adobe delivers new AI assistants and models across Creative Cloud

Adobe announced new AI features across Creative Cloud apps including Photoshop, Lightroom, Premiere, and Illustrator. The updates focus on improving efficiency, precision, and control for creative professionals.

Highlights include the AI Assistant in Photoshop, which can handle repetitive tasks, provide personalized recommendations, and support conversational editing while allowing seamless switching to manual tools. Photoshop also gains Generative Fill with partner models, Generative Upscale using Topaz Labs and other partners, and Harmonize for blending objects naturally into scenes. Premiere introduces AI Object Mask, shape-based masking tools, and Fast Vector Mask in public beta for faster video editing. Lightroom receives an AI Assisted Culling feature to help manage large photo collections.

Firefly enhancements include Image Model 5 in public beta for 4MP photorealistic generation and editing, Prompt to Edit for natural language adjustments, and planned Layered Image Editing. Firefly Boards adds Rotate Object for 2D-to-3D perspectives, PDF export, and batch image downloads. Firefly Creative Production supports no-code batch editing of thousands of images. Firefly Custom Models let users create personalized models for stylistically consistent outputs.

Many features are in public or private beta, with partner models from Google, Black Forest Labs, Topaz, and others integrated directly into Adobe apps, available to Creative Cloud Pro and Firefly plan subscribers.

https://news.adobe.com/news/2025/10/adobe-max-2025-creative-cloud

MariaDB unveils unified cloud database platform

MariaDB plc announced the availability of MariaDB Enterprise Platform 2026, a database platform for building next-generation intelligent applications. This new release reduces complexity by unifying transactional, analytical and AI (vector) database engines into a single platform. With the addition of retrieval-augmented generation (RAG) pipelines and AI agents, MariaDB Enterprise Platform is designed to create a strategic advantage for enterprises building agentic applications. Instead of complex, slow data pipelines, AI agents can now autonomously access data and extract critical insights from MariaDB’s cloud-native, serverless platform instantly.

  • Built-in RAG: MariaDB Enterprise Platform 2026 introduces a native “RAG-in-a-Box” solution. MariaDB AI RAG enables the grounding of large language models (LLMs) with context from the data stored in MariaDB.
  • Embedded AI Copilots: MariaDB’s AI copilots are ready-to-use agents inside MariaDB’s platform allowing agentic applications to interact with data through natural language. Available via MariaDB Cloud, preconfigured agents include a developer and a DBA AI copilot. The developer copilot is a Text-to-SQL agent connected to MariaDB’s database that responds to natural language queries with insights on the data stored in your database.
  • Integrated MCP Servers: The Model Context Protocol (MCP) Servers enable AI Agents to interact with MariaDB databases and other databases across the enterprise.

https://mariadb.com/newsroom/press-releases/mariadb-unveils-unified-cloud-database-platform-designed-to-accelerate-agentic-ai-application-development

Bloomreach and Uniform unveil turnkey conversational commerce framework

Bloomreach, an agentic platform for personalization, and Uniform, a composable digital experience platform, today announced a turnkey AI solution unveiled at the MACH Alliance’s AI Hackathon taking place from October 21-22. Powered by the Open Data Model from MACH Alliance, the solution showcased how composable technology and generative AI can be seamlessly combined, enabling any brand to build conversational experiences that help them retain control of their customer relationships.

Built on AWS, the solution aggregates product catalogs from multiple commerce platforms through Uniform, and enriches them with AI-driven tagging, normalization, and metadata optimization. Then, the product data flows into Bloomreach Clarity, where it powers a fully conversational shopping interface — allowing customers to browse, compare, and shop via natural dialogue. 

https://www.bloomreach.com/en/news/2025/bloomreach-and-uniform-to-unveil-new-turnkey-conversational-commerce-framework/https://www.uniform.devhttps://machalliance.org

Graphwise launches Graph AI Suite

Graphwise, announced Graph AI Suite, a comprehensive Graph AI platform that accelerates how businesses unlock value from their data. It turns enterprise knowledge into a self-improving engine for trustable AI by leveraging GraphRAG. The platform’s capabilities simplify how organizations build intelligent knowledge graphs that continuously learn at scale.

  • Modeling & Mapping: Allows organizations to build a graph from structured and unstructured data, including automated taxonomy building. It helps them mature from “text on a document” toward “structured content” and, eventually, a knowledge graph, improving GraphRAG performance.
  • Ingestion & Automation: These components connect to arbitrary systems and support specific use cases for each organization, enabling integration with LLMs such as Gemini, Llama, and others and agentic AI platforms.
  • Semantic Analysis: Automatically moves content toward a knowledge graph by creating taxonomies and enterprise vocabularies. It drives semantic metadata enrichment across data silos, building the basis for a highly accurate GraphRAG infrastructure. A key part of the AI Flywheel, it makes the platform easy for subject matter experts to use.
  • GraphRAG: This is the Graph AI Suite’s core capability for delivering trustworthy AI. It uses the knowledge graph to furnish the LLM accurate, context-rich and semantically relevant data, mitigating hallucinations and ensuring responses are grounded in verifiable facts.

http://www.graphwise.ai/

Google announces Gemini Enterprise

From the Google Products Blog…

AI has opened up new opportunities in the cloud market — and today, we announced our next chapter with Gemini Enterprise. Gemini Enterprise is designed on the premise that true business transformation in the era of AI must go beyond simple chatbots. You need a comprehensive and integrated platform that brings all your company’s data, tools, and people together in one secure place.

That’s exactly what we’ve built. Gemini Enterprise is an AI-powered conversational platform designed to bring the full power of Google AI to every employee for every workflow.

Built with Google’s most advanced Gemini models, it enables you to chat with your company’s documents, data, and applications. It also gives you the tools to build and deploy AI agents, as well as a suite of pre-built agents, and is grounded in your company’s information and your personal context at work.

Delivering this level of transformation requires a commitment to upskilling your teams. So today, we are announcing a comprehensive set of programs to help you succeed, including free Google Skills training, and the Gemini Enterprise Agent Ready (GEAR) program.

Gemini Enterprise: The new front door for Google AI in your workplace

commercetools Previews Cora

commercetools, an AI-first commerce platform for enterprises, announced a preview of commercetools Cora, an AI-native and multimodal shopping companion designed to demonstrate the future of conversational commerce. Cora shows how enterprises will be able to deliver human-like continuity across web, mobile, WhatsApp, and other channels. Shoppers can begin a journey on one device and continue it on another without losing context or progress. Cora maintains continuity and gives enterprises a branded companion they fully control.

Cora gives enterprises the practical tools to build loyalty and reduce drop-off by keeping every shopping journey connected. Key capabilities in the first phase of its launch include:

  • AI-First Product Discovery: Conversational search that understands vague requests (i.e., long queries) and translates them into relevant recommendations.
  • Omnichannel Continuity: Preserves context, cart state, and conversation history across all channels and devices.
  • Brand-Controlled Experience: Keeps shoppers inside a retailer’s ecosystem, ensuring that every interaction reflects the brand’s identity and builds lasting trust.

Cora is also fully white-labeled, allowing retailers to customize and brand the experience while relying on commercetools’ enterprise-grade security, governance, and data controls.

Cora will debut with AI-powered product search and launch in phases toward full agentic capabilities, including autonomous checkout.

https://commercetools.com/press-releases/commercetools-previews-cora

Microsoft adds Anthropic model options for 365 Copilot

From the Microsoft 365 Blog…

Copilot will continue to be powered by OpenAI’s latest models, and now our customers will have the flexibility to use Anthropic models Claude Sonnet 4 and Claude Opus 4.1 too — starting in Researcher or when building agents in Microsoft Copilot Studio.

Here’s how Anthropic models are showing up in Microsoft 365 Copilot starting today:

  • Researcher agent: Our reasoning agent can now be powered by either OpenAI’s deep reasoning models or Anthropic’s Claude Opus 4.1. Whether you’re building a detailed go-to-market strategy, analyzing emerging product trends, or creating a comprehensive quarterly report, you can now select your preferred model to power in-depth work.
  • Copilot Studio: Claude Sonnet 4 and Claude Opus 4.1 models are now available as model options in Copilot Studio, enabling you to easily create and customize enterprise-grade agents. With this launch, you can build, orchestrate, and manage agents powered by Anthropic models for deep reasoning, workflow automation, and flexible agentic tasks. And with multi-agent systems and prompt tools in Copilot Studio, you can mix which models are used for specialized tasks from Anthropic, OpenAI, or any of the models in the Azure Model Catalog.

https://www.microsoft.com/en-us/microsoft-365/blog/2025/09/24/expanding-model-choice-in-microsoft-365-copilot/

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