Zerve AI at Big Data LDN 2024 Wrap Up
The energy at Big Data LDN 2024 was electric. Data enthusiasts from across the UK and beyond came together to explore the latest advancements in AI and data science. Zerve was proud to be part of the event, showcasing our end to end platform that simplifies and accelerates the journey from insights to real world impact.
Addressing a Shared Challenge
One of the strongest themes we heard was the need to bridge the gap between data science teams and production. Many attendees shared how difficult it is to turn prototypes into reliable production models. That is exactly where Zerve comes in.
Zerve: Bridging the Gap
Our platform helps data scientists and engineering teams work together with transparency and speed.
Key features include:
Streamlined workflows for collaboration between data scientists and engineers.
An intuitive user experience without unnecessary complexity.
Transparency built into every stage of development.
Serverless GPU and CPU orchestration for effortless deployment.
Simple API, app, and scheduled job building for production ready solutions.
Thousands of open source LLMs ready to use in your projects.
Zerve enables businesses to move projects from concept to production with confidence. Hear from our Go To Market Lead, Zach O'Hagan, who spoke with attendees across industries about how Zerve bridges the data science and production gap.
Watch the Clip
Experience Zerve with a the free tier and see how we bridge the gap between data science and production.
Looking Ahead
Zerve is committed to reshaping how businesses approach AI and data science. Stay connected, follow us on LinkedIn or subscribe to our YouTube channel for updates and exclusive content.
FAQs
What did Zerve showcase at Big Data LDN 2024?
We demonstrated our end to end platform for AI and data science, including serverless GPU and CPU orchestration, app and API building, and seamless paths from prototype to production.
How does Zerve help teams bridge the gap to production?
Zerve unifies collaboration, version control, and deployment in one place so teams can move from experiments to reliable production workflows without handoffs or tool switching.
What problems did attendees cite most often?
Common challenges included siloed tools, slow handoffs, and difficulty operationalizing models. Zerve addresses these with streamlined workflows and managed compute.
Does Zerve support large scale GenAI workloads?
Yes. Zerve orchestrates parallel compute, supports thousands of open source LLMs, and aggregates results back into your workflows for fast iteration.
Can I try Zerve before committing?
Yes. Try the free tier, and explore the platform with real workflows.
Where can I watch your Big Data LDN wrap up video?
You can watch it in the embedded player on this page or on our YouTube channel.
