Trew Knowledge

Every sports organization is sitting on a fan product it has not built yet. Decades of highlights, interviews, commentary and statistics, currently searchable only by whoever knows the exact date or the exact player name.

Vector search makes that same content reachable by meaning, which is the requirement for conversational assistants, personalized discovery and recommendation experiences that hold a fan's attention past the first click.

Our latest article covers seven applications for sports digital platforms.
🔗 https://ow.ly/awuv50ZQykJ

Please join us in welcoming Krupal Lakhia to Trew Knowledge as our new Senior Project Manager! 👋

Krupal is looking forward to taking on new challenges, learning with the team, and bringing plenty of collaboration and problem-solving to his days at TK.

Outside of work, he’s into music, gaming, travelling, family time, and exploring new product ideas.

Welcome aboard, Krupal! We’re excited to have you on the team! 🚀

Explore how AI and conversational experiences change website search, product discovery, customer service, accessibility, UX, and the path from visitor intent to action.

🔗 https://ow.ly/ys4I50ZPEp7

: Salesforce is building specialized reasoning into its own platform. OpenAI and Cursor are making it easier to coordinate fleets of agents. G5 Labs wants business intent to become the source of truth. And ElevenLabs is bringing content generation directly into the tools where people already work.

At the same time, AI governance is getting more scrutiny, while Canada invests in building AI literacy at scale. This week, the story isn’t just what the models can do. It’s the systems being built around them.

🔗 https://ow.ly/LtJK50ZP6wr

Things we couldn’t leave Phoenix without doing ➡️

🍗 Grabbing a bite at Mister Pio
🚙 Taking a Waymo ride
⛳️ And, of course, having some fun with the team

WordCamp US gave us plenty to do inside the venue, but Phoenix deserved some time too. ☀️🌵

A CMS migration can be the right decision and still go wrong in ex*****on. Content has to be transformed, not simply moved. URLs and search visibility need to be protected. Integrations, permissions, accessibility, security, and rollback plans all have to survive the transition.

Part 2 of our series looks at how to migrate a legacy CMS without breaking what already works.

🔗 https://ow.ly/VLHs50ZOjIx

Trust in enterprise technology depends on more than what gets built. It also depends on how the organizations behind it operate. 🛡️⚙️

Trew Knowledge has completed its first SOC 2® Type 2 examination, providing independent validation of the security controls and operational practices that support our work.

For organizations navigating complex, highly connected digital environments, it adds another layer of confidence in the partner behind the platform.

🔗 Read more: https://ow.ly/1ZBk50ZNRPh

Composable architecture has changed what enterprises expect from their CMS.

Instead of asking one platform to do everything, organizations are assembling specialized technologies that excel at a specific role. The CMS becomes the foundation for structured content, while commerce, identity, DAM, personalization, and AI each live in their own layer.

In our latest article, we explore where WordPress fits in a composable DXP, how it integrates with enterprise technologies, and when a composable approach is the right architectural choice.
🔗 https://ow.ly/OzWU50ZNeuW

: Agents are moving closer to real-world action, and the questions around them are getting harder to ignore. OpenAI is preparing a managed agents product. Meta launched Muse, a personal agent that can navigate apps and make purchases on your behalf. An Anthropic researcher resigned with a warning about the race toward self-improving AI. And OpenAI is making image generation more practical for real creative workflows.

Also this week: Google advances AI weather forecasting, Microsoft pushes transcription on speed and price, Arm takes aim at robotics standards, and ChatGPT advertisers are still waiting for meaningful benchmarks.

🔗 https://ow.ly/zrai50ZMwPC

AI changes what “good enough” infrastructure looks like.
Technical debt that barely affected day-to-day operations can suddenly become a constraint when AI needs reliable data, connected systems and production-ready processes.

That can shift modernization priorities. Instead of trying to fix everything at once, enterprises can focus on the systems, data and integrations that matter most to the AI capabilities they want to build.

Our latest article explores how an AI readiness assessment can help identify those priorities and turn technical debt into a more focused modernization roadmap.

🔗 https://ow.ly/m2Sj50ZLeV1