Category: Collaboration and workplace (Page 2 of 101)

Canva introduced Canva AI 2.0, transforming Canva into a conversational, agentic platform where teams can go from the spark of an idea to complete, published work in one place.

Powered by the Canva Design Model – a foundation model built to understand the structure, hierarchy, and complexity of real-world design – Canva AI 2.0 generates layered, editable output from a single prompt, and gets smarter the more you use it.

Available as a research preview, Canva AI 2.0 introduces a new architecture layer spanning conversational design, iterative agentic editing, layered object intelligence, and living memory, alongside six new intelligent workflows: connectors, scheduling, web research, brand intelligence, Sheets AI, and Canva Code 2.0.

Conversational design Describe an idea, goal, or rough structure, and Canva AI generates an editable design with layout, hierarchy, and brand, then stays with you throughout the process.

Agentic orchestration gives Canva AI access to Canva’s complete design engine, calling the right tools at the right time.

Layered object intelligence everything Canva AI generates is built from scratch using individual, editable objects.

Memory Library turns interactions into building blocks. With persistent memory, Canva AI 2.0 understands how you work, keeps every project on brand, and applies your style automatically.

https://www.canva.com/newsroom/news/canva-create-2026-ai

Adobe unveiled Firefly AI Assistant, powered by Adobe’s creative agent, bringing Adobe’s creative tools into a single conversational interface. Available soon in Adobe Firefly, an all-in-one creative AI studio, Firefly AI Assistant enables creators to describe the outcome they want using their own words as the assistant orchestrates and executes complex, multi-step workflows across Adobe’s Creative Cloud apps, including Firefly, Photoshop, Premiere, Lightroom, Express, Illustrator and more.

For creators of all levels, this shift to agentic creation simplifies the process of getting started and making progress quickly without navigating multiple apps or manual steps. For creative professionals, it unlocks the ability to direct more complex, multi-step workflows, combining speed with the control and precision required for high-quality creative work.

Adobe also expanded Firefly’s video and image editing capabilities, introducing new features in Firefly Video Editor including studio-quality sound, advanced color adjustments and Adobe Stock integration, as well as new precision image editing capabilities such as Precision Flow and AI Markup.

Adobe will also bring this new way of creating with Adobe apps to third-party AI models including Anthropic’s Claude, enabling creators to access the best of Adobe directly across the surfaces where they work every day.

https://news.adobe.com/news/2026/04/adobe-new-creative-agent

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

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/