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Category: Enterprise software & integration (Page 1 of 35)

Algolia introduces context-aware retrieval for agents

June 17, 2025 /

Algolia, an AI-native search and discovery platform, released its MCP Server, the first component in a broader strategy to support AI agents. This new offering enables large language models (LLMs) and autonomous agents to retrieve, reason with, and act on real-time business context from Algolia.

With the Algolia MCP Server, agents can access Algolia’s search, analytics, recommendations, and index configuration APIs through a standards-based, secure runtime. This turns Algolia into a real-time context surface for agents embedded in commerce, service, and productivity experiences. Additionally, Algolia’s explainability framework with its AI is included for enhanced transparency.

Algolia’s MCP Server is purpose-built for enterprise-grade agent orchestration, enforcing policy at the protocol layer to ensure agents operate within role- and context-sensitive boundaries. It provides end-to-end observability, making every agent-triggered decision fully traceable and inspectable. The platform also enables privacy-aware personalization that complies with regional regulations like GDPR and CCPA, without relying on invasive tracking.

Enterprise customers, developers, and partners can start building AI-native applications, copilots, and intelligent agents today. Algolia’s MCP Server supports Anthropic’s Model Context Protocol (MCP) and can be integrated with leading LLM runtimes.

https://www.algolia.com/about/news/algolia-introduces-context-aware-retrieval-for-the-agentic-era

Adobe announces LLM Optimizer

June 16, 2025 /

Adobe announced Adobe LLM Optimizer, an enterprise application that enables businesses to gain new relevance where consumers are embracing generative AI-powered interfaces to engage brands. With Adobe LLM Optimizer, teams can stay ahead of shifting consumer behaviors and remain top-of-mind in the AI era. A suite of features will enable businesses to monitor AI-driven traffic and benchmark brand visibility, while receiving recommendations that can be quickly deployed on their digital properties to improve discoverability, engagement and conversion.

LLM Optimizer will be able to identify owned content (details on a website for instance) that is being leveraged by AI-powered interfaces to deliver responses to user queries. This provides teams with a real-time pulse on how their brand is showing up across browsers and chat services.

A recommendation engine detects gaps in brand visibility and suggests improvements across both owned (web pages, FAQs) and external (Wikipedia, public forums) channels — based on attributes prioritized by LLMs including high-quality, informative content from authoritative sources.

LLM Optimizer is built to support existing workflows across SEO leads, content strategists, digital marketers and web publishers, and supports enterprise-ready frameworks such as Agent-to-Agent (A2A) and Model Context Protocol (MCP), to integrate LLM Optimizer with third-party solutions and partners.

https://news.adobe.com/news/2025/06/adobe-llm-optimizer-empowers-businesses-drive-brand-visibility

Sigma launches semantic layer integration and AI SQL capabilities on Snowflake

June 4, 2025 /

Sigma, an analytics platform, today announced two major platform innovations in partnership with Snowflake: an integration with Snowflake Semantic Views (private preview) and support for AI SQL, Snowflake’s feature for querying unstructured data. Together, these advances enable governed semantic exploration and file-based AI-powered analysis directly in Sigma’s spreadsheet-like interface. Structured metrics and raw human context—contracts, images, PDFs, and text—are queryable side-by-side in a single governed system.

Sigma also supports Snowflake AI SQL, a new capability that lets users query unstructured data as if it lived in a table. This news follows Sigma’s recent launch of its File Column Type feature, allowing end users to connect unstructured content with structured data, making complex workflows executable inside Sigma.

Teams can upload files with Sigma, run them through Snowflake’s LLM-based functions, and analyze the structured results alongside traditional datasets—no pipelines and no special tools required. Snowflake’s AI SQL functions analyze the content using LLMs, and Sigma picks up the structured output and renders it live in dashboards or workflows.

Joint customers can start using the semantic layer integration immediately through their existing Snowflake and Sigma environments as well as the full support for Cortex AISQL.

https://www.sigmacomputing.com/resources/announcements/sigma-launches-native-semantic-layer-integration-and-ai-sql-capabilities-on-snowflake-ai-data-cloud

Contentstack unveils Contentstack Data and Insights

June 4, 2025 /

Contentstack, a headless CMS and digital experience vendor, announced they have completed the integration of Lytics technology after acquiring the company in January. Contentstack Data and Insights, is a native set of capabilities for audience analytics and real-time data activation, along with omnichannel campaign orchestration capabilities, now integrated into Contentstack EDGE, its integrated adaptive digital experience platform (DXP).

As of today the digital experience platform, Contentstack EDGE includes:

  • Contentstack Data & Insights: A set of real-time intelligence capabilities connecting content and customer behavior, including:
    • Audience Insights App: Understand what content drives engagement and business outcomes, support targeted campaigns and ground personalization in data-driven insights. With visual maps, audience building, and opportunity insights, brands can learn what their audiences care most about in real time. Available at no additional cost to Contentstack customers.
    • Real-Time Data Activation: Deliver personalized experiences instantly with seamless access to over 200 data connectors and native integration with existing data warehouses, activated in real time as customers interact.
  • Campaign orchestration:
    • Flows: The ability to activate omnichannel personalization at scale through adaptive customer journeys that guide individuals seamlessly across web, mobile, email, ads, SMS, and other channels, maximizing engagement and conversions.

https://www.contentstack.com

Perplexity and PayPal partner

May 14, 2025 /

Perplexity today announced that it has partnered with PayPal to power agentic commerce across its Perplexity Pro platform. Starting this summer in the U.S., consumers can check out instantly with PayPal or Venmo when they ask Perplexity to find products, book travel, or buy tickets.

The entire process, including payment, shipping, tracking, and invoicing will be handled behind the scenes with PayPal’s account linking, secure tokenized wallet and emerging passkey checkout flows, which could eliminate the need for passwords and streamline the experience to a single user query or click. Features include:

  • Agentic Commerce: Integration of PayPal’s commerce solutions, enabling users to buy products or services directly in Perplexity’s chat interface.
  • Global Reach: Expanding Perplexity’s commerce tools to PayPal’s 430+ million active accounts across approximately 200 markets.
  • Secure Transactions: Leveraging PayPal’s robust fraud detection and data security protocols.

Whether users are researching a topic, comparing products, or planning a trip, Perplexity turns natural questions into trustworthy, ready-to-use results, streamlining how people learn, decide, and get things done online.

https://www.perplexity.ai/shopping ■ https://newsroom.paypal-corp.com/2025-05-14-Perplexity-Selects-PayPal-to-Power-Agentic-Commerce

Databricks to acquire Neon

May 14, 2025 /

Databricks, a Data and AI company, announced its intent to acquire Neon, a serverless Postgres company. Databricks plans to continue innovating and investing in Neon’s database and developer experience for existing and new Neon customers and partners.

Recent internal telemetry showed that over 80 percent of the databases provisioned on Neon were created automatically by AI agents rather than by humans. These workloads differ from human-driven patterns in three ways:

  1. Speed + flexibility: Neon can spin up a fully isolated Postgres instance in 500 milliseconds or less and supports instant branching and forking of database schema but also data, so experiments never disturb production.
  2. Cost proportionality: Neon’s full separation of compute and storage keeps the total cost of ownership for thousands of ephemeral databases proportional to the queries they actually run.
  3. Open source ecosystem: Neon is Postgres-compatible and works out of the box with popular extensions.

Databricks and Neon will work to remove the traditional limitations of databases that require compute and storage to scale in tandem — an inefficiency that hinders AI workloads. The integration of Neon’s serverless Postgres architecture with the Databricks Data Intelligence Platform will help developers and enterprise teams efficiently build and deploy AI agent systems.

https://www.databricks.com/company/newsroom/press-releases/databricks-agrees-acquire-neon-help-developers-deliver-ai-systems ■ https://neon.tech

Algolia unveils AI Agents for Salesforce and Adobe

May 8, 2025 /

Algolia, a AI-native search and discovery platform, announced a new AI agent experience that illustrates how autonomous systems can act on real-time data across enterprise platforms. Demonstrated using Salesforce’s Agentforce and integrated with Adobe Experience Manager (AEM), Adobe Experience Platform (AEP), and Salesforce Commerce Cloud (SFCC), Algolia shows what’s possible when agents are equipped with live, structured context, without latency or hallucination.

Algolia semantically interprets user intent, retrieves structured content from its index containing data from multiple customer datastores, and assembles context-aware responses in real time—bridging the gap between front-end agent platforms like Agentforce and the backend systems that hold critical content and customer signals.

Algolia handles this orchestration through its AI-native search engine, which retrieves the most relevant information from its index, content that has been ingested and structured from platforms like Adobe Experience Manager (AEM), Salesforce Commerce Cloud (SFCC), and Adobe Experience Platform (AEP). Whether surfacing personalized media, live product availability, or behavioral attributes, Algolia assembles responses that reflect the full customer context and returns them in milliseconds. The result is an agent experience that feels intuitive, precise, and deeply responsive to user needs.

https://www.algolia.com/about/news/algolia-unveils-new-real-time-context-aware-ai-agents-across-salesforce-and-adobe

Bloomreach adds marketing and e-commerce features

May 6, 2025 /

Bloomreach, an agentic platform for personalization, announced features to transform AI-driven personalization and customer engagement across marketing and product discovery. From workflows to conversational search, these features highlight agentic AI.

Marketing:

  • Autonomous Marketing Agents: AI-powered agents to help marketers automate and execute the entire campaign creation process.
  • Recommendations+ : Analyzes each customer’s journey and behavior in real-time to recommend products that align with a customer’s preferences.
  • Contextual Personalization: Automates personalization through the delivery of individualized emails, mobile messages and onsite experiences to each customer.

⠀Conversational Shopping:

  • Search Triggered Conversations: Launches a personalized conversation directly from the search bar and acts as an integrated shopping assistant.
  • Embedded Conversations: Brings Clarity’s conversational capabilities directly to Product Detail Pages (PDPs) and Product Listing Pages (PLPs).

⠀Search:

  • Personalization Studio: Learns from live customer signals and optimizes in real-time to reflect current shopper intent.
  • Ranking Studio: Gives practitioners control to integrate critical business signals like margins or offline sales into search algorithms.
  • Multi-language search: Expands global reach by extending autonomous search across 33 supported languages.
  • Conditional Slot Merchandising: Elevates product placement by allowing the merchandiser to define their own business-driven conditions so AI can autonomously populate product grids and placements.

https://www.bloomreach.com/en/news/2025/bloomreach-unveils-the-features-ushering-in-the-agentic-era-of-marketing-and-ecommerce/

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