Curated for content, computing, data, information, and digital experience professionals

Category: Collaboration and workplace (Page 1 of 99)

This category is focused on enterprise / workplace collaboration tools and strategies, including office suites, intranets, knowledge management, and enterprise adoption of social networking tools and approaches.

AODocs launches External Portals to securely streamline document collaboration

AODocs, an enterprise document management platform, announced the launch of AODocs External Portals, to enable organizations to collaborate with external parties while maintainin document control and audit-ready traceability.

With External Portals, organizations can share documents, request files, and track progress in one unified space—eliminating reliance on out-of-control shadow IT, ad hoc email threads, consumer file-sharing links, or disconnected third-party tools.

The new capability is designed to simplify external collaboration while remaining fully integrated with AODocs’ document control platform, preserving the rigorous governance, security, and compliance enterprises require from their DMS (Document Management System).

As organizations increasingly work with vendors, customers, auditors, and other third parties, document exchange has become a point of risk. Files are duplicated across inboxes and unmanaged drives, processes sprawl across multiple unapproved tools, and audit trails break.

AODocs External Portals reduce these “shadow IT” risks by keeping all external exchanges within a single, unified platform—where external collaboration and document control processes live together in a governed, traceable, and policy-consistent environment.

External Portals are designed for high-stakes, document-heavy processes —from vendor onboarding and loan processing to HR workflows and case management— allowing organizations to simplify external collaboration while preserving security, compliance, and traceability.

https://www.aodocs.com/products/document-management-system

Flux voice AI platform now supports on-the-fly configurations

Deepgram announced Flux “on-the-fly configuration” for its voice AI platform, which lets developers dynamically update speech recognition settings — such as keyterms and end-of-turn detection — during a live voice conversation without disconnecting or restarting the audio stream.

A support call moves from identity verification to troubleshooting to scheduling a follow-up. A healthcare call shifts from intake questions to medication names to billing. Each phase has different intents, different critical phrases.

Today, teams configure their ASR (automatic speech recognition) once at connection time and live with it for the entire call. They load every keyterm they might need upfront, diluting biasing effectiveness across the board, or they keep the list minimal and accept lower accuracy on critical phrases. When the conversation shifts enough that the configuration truly doesn’t fit, the options are disconnecting and reconnecting mid-call or managing multiple concurrent streams and swapping between them.

Now your ASR configuration can shift with the conversation. No more choosing between loading every keyterm upfront or accepting lower accuracy. No more static configuration that’s “good enough” for the whole call. One connection that adapts as the call unfolds.

On-the-fly configuration is available now in the Flux v2 WebSocket API.

https://deepgram.com/learn/flux-on-the-fly-configuration

Krisp launches real-time Voice Translation SDK

Krisp announced the launch of its Voice Translation SDK, enabling CX platform developers to embed real-time multilingual voice-to-voice translation into live customer conversations. The technology has been live in production CX environments since 2025 as part of Krisp’s Call Center AI platform, operating in customer conversations globally before its SDK release.

Real-time voice translation must operate on continuous audio streams where latency, accuracy and conversational flow are tightly linked. Systems must recognize diverse accents, perform reliably in noisy environments and preserve natural turn-taking.

Krisp’s Voice Translation SDK is engineered to balance these competing constraints in live, two-way conversations. It supports any combination of over 60 languages and is optimized for synchronous interactions where clarity and conversational continuity are critical. This enables multilingual interactions within live conversations without requiring human interpreters.

The SDK is available for Windows, macOS and Web developers, allowing integration into both native and browser-based applications. To improve performance in real-world conditions, Krisp applies local Noise Cancellation before audio is processed in the cloud, isolating the primary speaker and improving recognition accuracy. The SDK also supports custom vocabulary and domain-specific dictionaries, enabling teams to enforce terminology and maintain consistency across professional environments.

https://krisp.ai/blog/real-time-voice-translation-sdk/

Dataiku launches 575 Lab, its new open source initiative for responsible AI

As AI moves from pilots to business-critical deployment, the issue is no longer access. It’s trust. Open source tools support that trust by keeping core components inspectable and standardizable, enabling stronger oversight across modern AI systems. Today, Dataiku announced the launch of the 575 Lab, Dataiku’s Open Source Office. The 575 Lab will release two new open-source toolkits designed to help enterprises make AI systems more transparent, governable, and fit for real-world use.

The 575 Lab will focus on delivering deployable tools that strengthen explainability, privacy, and governance across modern AI and agentic systems. The two initial open-source projects will be: 

  • Agent Explainability Tools that will help teams trace and understand decision-making across multi-step agent workflows, making agent decisions transparent for data scientists, compliance teams, and end users.
  • Privacy-Preserving Proxies that will enable safer use of closed-source models by protecting sensitive data end-to-end, and that teams will be able to run locally.

Both projects will be designed to support responsible enterprise AI, with a focus on reliability, security, transparency, and explainability.

The 575 Lab is now available to the community of AI specialists, data scientists, and developers responsible for creating, deploying, and scaling AI agents and applications.

https://www.dataiku.com/press-releases/dataiku-launches-575-lab/

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

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

MongoDB expands MongoDB for startups

MongoDB, Inc. announced an upcoming expansion to MongoDB for Startups, designed to help founders and builders take applications from prototype to global deployment. MongoDB for Startups companies now represent more than $200 billion in combined valuation, and this expansion gives early-stage companies a faster, more reliable path to scale by providing a production-ready data foundation and an integrated stack that works from day one.

With initial launch partners Temporal and Fireworks AI, MongoDB for Startups introduces a founder-first ecosystem to help startups avoid early infrastructure decisions that slow them down over time. In the AI era, founders face unprecedented complexity when selecting their infrastructure; choosing the wrong stack early can create long-term AI debt that stalls innovation. Through a curated partner ecosystem, the program gives startups access to infrastructure designed to scale without constant rework, by delivering a cohesive, production-ready stack through matched credits, coordinated onboarding and enablement content, and joint events across complementary technologies.

This expansion to MongoDB for Startups creates a simple, opt-in experience designed to help founders scale without assembling and maintaining disparate technologies. Eligible MongoDB for Startups organizations can access matched credit offers across a curated set of complementary technologies, including Fireworks and Temporal.

https://www.mongodb.com/press/mongodb-for-startups-expands-to-give-founders-a-faster-and-smarter-start-from-day-one

Microsoft announces agentic AI capabilities for retail

Microsoft announced a set of agentic AI capabilities aimed at supporting automation and decision-making across retail operations, including merchandising, marketing, store operations, and fulfillment. The tools are designed to connect data and workflows so teams can act on context in real time.

Copilot Checkout, now available in the U.S. on Copilot.com, allows shoppers to complete purchases directly within Copilot without being redirected to a retailer’s website, while merchants remain the merchant of record. The service integrates with partners including PayPal, Shopify, and Stripe, and supports participating retailers such as Urban Outfitters, Anthropologie, Ashley Furniture, and Etsy sellers.

Microsoft also introduced Brand Agents for Shopify merchants and a personalized shopping agent template in Copilot Studio. These tools enable conversational shopping experiences using a retailer’s product catalog, with options ranging from turnkey deployment to fully customizable implementations.

In public preview, a catalog enrichment agent template automates product onboarding and categorization by extracting attributes from images and enriching data for search and recommendations.

For physical stores, a store operations agent template provides natural-language access to inventory, policies, and operational insights, helping staff manage workflows, staffing, and day-to-day decisions using internal and external data signals.

https://news.microsoft.com/source/2026/01/08/microsoft-propels-retail-forward-with-agentic-ai-capabilities-that-power-intelligent-automation-for-every-retail-function

Snowflake to acquire Observe

Snowflake, an AI Data Cloud company, has signed a definitive agreement to acquire Observe, a provider of AI-powered observability. With this acquisition, Snowflake will deliver their next generation of AI-powered observability, built on open standards and designed for the scale, complexity, and economics required by modern AI-driven enterprises. Snowflake and Observe will provide enterprises with: 

  • Agentic AI for faster troubleshooting: The combination of Observe’s AI-powered Site Reliability Engineer (SRE) with data in Snowflake enables a shift from reactive monitoring to proactive, automated troubleshooting. Observe’s AI SRE leverages a unified context graph that correlates logs, metrics, and traces, allowing teams to detect anomalies earlier, identify root causes, and resolve production issues faster.
  • An open-standard architecture built for scale: The acquisition also establishes a unified, open-standard observability architecture based on Apache Iceberg and OpenTelemetry. Enterprises can manage massive telemetry volumes using economical object storage, elastic compute, and interoperable standards.
  • Full telemetry data retention with efficient economics: As AI-driven applications generate volumes of logs, metrics, and traces, enterprises have increasingly been forced to rely on sampling and short retention windows to manage cost. By unifying Observe’s AI-powered observability platform with Snowflake’s scalable data foundation, organizations may eliminate these tradeoffs.

https://www.snowflake.com/en/news/press-releases/snowflake-announces-intent-to-acquire-observe-to-deliver-ai-powered-observability-at-enterprise-scale

« Older posts

© 2026 The Gilbane Advisor

Theme by Anders NorenUp ↑