Curated for content, computing, and digital experience professionals

Author: NewsShark (Page 1 of 738)

Box announces AI Platform to bring AI Agents to enterprise content

Box, Inc., an Intelligent Content Management (ICM) platform, announced the next evolution of its Box AI with a new generation of AI Agents designed to transform how organizations work with content. Customers will be able to leverage AI Agents for Search, Deep Research, and enhanced data extraction to uncover more value from their content in Box. Box also introduced a new Box AI Agent for Microsoft 365 Copilot that allows users to search, analyze, and act on Box content directly within Microsoft 365.

Box AI Agents are built with a layered approach, starting with enterprise knowledge found in Box, the Agents then leverage AI models from Amazon, Anthropic, Google, IBM, Meta, OpenAI, and xAI to best match the task’s demands. Every Agent is aligned to an objective, and follows a set of structured instructions that guide its actions. Users will be able to interact with Box AI Agents to extract insights from content and automate enterprise workflows. Box AI Agents can also be customized in Box AI Studio. 

Box AI Agents will be able to analyze large volumes of enterprise content to extract meaning and trends — automatically identifying the most relevant files using Box’s secure, permission-aware, retrieval-augmented generation (RAG) framework. 

https://blog.box.com/content-ai-virtual-summit-may-2025

Perplexity and PayPal partner

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/shoppinghttps://newsroom.paypal-corp.com/2025-05-14-Perplexity-Selects-PayPal-to-Power-Agentic-Commerce

Databricks to acquire Neon

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-systemshttps://neon.tech

Foxit launches enterprise Smart Redact Server

Foxit, a provider of PDF and eSignature products and services, announced Smart Redact Server, a new AI-driven platform built to automate the redaction of sensitive data at scale across enterprise environments. Designed for organizations that manage large volumes of regulated content, the solution enables legal, financial, healthcare, and compliance teams to detect and redact classified, personally identifiable (PII), and other sensitive information.

Smart Redact Server equips teams tasked with data privacy and regulatory compliance, including enterprise administrators, legal and compliance departments, financial institutions, and healthcare organizations with a scalable way to identify and redact sensitive content, whether it’s personally identifiable information (PII), financial records, or protected health data. Features: 

  • AI-powered detection and redaction of PII, financial, legal, and medical data 
  • Batch processing and scheduled scans automate compliance workflows, reduce manual effort 
  • Support for 47 file types, including PDF, DOCX, scanned images, HTML, JSON, XML 
  • Cloud-native SaaS platform with integration across OneDrive, SharePoint, AWS S3, and Box 
  • Zero data retention policy with AES-256 and SSL 2048-bit encryption for in-place, secure document processing 
  • Regulatory compliance with GDPR, HIPAA, CCPA, SOX, ISO 27001, and SOC 2 Type II 
  • Role-based team management, audit trails, and reusable redaction templates tailored by industry and region.

https://redact.foxit.com/

Algolia unveils AI Agents for Salesforce and Adobe

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

Optimizely updates OpaI

Optimizely, a digital experience platform (DXP) provider, introduced the next evolution of Optimizely Opal. With an all-new user interface and a direct embed across the Optimizely One product suite, Opal unlocks use cases for marketing and digital teams—from task automation, to brand content creation, and experimentation analysis.

Opal builds context windows by combining diverse data sources from an organization’s corporate knowledge, including existing assets, campaign performance, and experimentation results. Opal is enhanced by Optimizely’s domain expertise incorporating content and experimentation practices. Opal agents leverage dozens of tools built for marketing that integrate with external systems. Users can fine-tune with custom instructions and orchestrate these agents within workflows. Enhancements include:

  • A redesigned platform experience puts marketers in control with features like Instructions, a dedicated user interface to manage new and pre-built agents, and Chat which is persistent across all Optimizely products.
  • A pre-built tool library helps marketers with analyzing webpages, creating presentation decks, and conducting keyword research.
  • Specialized agents for marketing tasks, each equipped with instructions and tools to deliver results or complete actions on marketers’ behalf.
  • Agent workflows allow admins to combine multiple Specialized Agents to work together—either step-by-step or at the same time.

https://www.optimizely.com/ai

Bloomreach adds marketing and e-commerce features

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/

OpenSearch releases OpenSearch 3.0

The OpenSearch Software Foundation, the vendor-neutral home for the OpenSearch Project, announced the general availability of OpenSearch 3.0. OpenSearch 3.0 enables users to increase efficiency, deliver superior performance, and accelerate AI application development via new data management, AI agent, and vector search capabilities.

Vector engine features:

  • GPU Acceleration for OpenSearch Vector Engine: Delivers superior performance for large-scale vector workloads while significantly lowering operational spend by reducing index building time.
  • Model Context Protocol (MCP) support.
  • Derived Source: Reduces storage consumption by removing redundant vector data sources and utilizing primary data to recreate source documents.

⠀Data management features:

  • Support for gRPC: Enables faster and more efficient data transport and data processing for OpenSearch deployments.
  • Pull-based Ingestion: Enhances ingestion efficiency and gives OpenSearch more control over the flow of data and when it’s retrieved by decoupling data sources and data consumers.
  • Reader and Writer Separation: Ensures consistent, high-quality performance for indexing and search workloads by configuring each in isolation.
  • Apache Calcite Integration.
  • Index Type Detection: automatically determining whether an OpenSearch index contains log-related data and speeding up log analysis feature selection.

Other updates include: Lucene 10, Java 21 minimum supported Runtime, and Java Platform Module System Support.

https://opensearch.org/blog/unveiling-opensearch-3-0

« Older posts

© 2025 The Gilbane Advisor

Theme by Anders NorenUp ↑