As enterprise AI adoption grows, the challenge is no longer just choosing the best model.

The bigger question is how to scale AI with the right balance of cost, performance, model choice, data security and control.

Not every workload needs the most powerful or expensive proprietary model. Some tasks can be handled efficiently by open models, while others may require premium models, private deployment, or fully air-gapped environments for sensitive data.

Join BioQuest and Xinference for a practical webinar on how enterprises can build a more flexible AI foundation that supports different models, deployment options and security requirements without being locked into a single provider.

You will learn how organisations can:

• optimise AI costs by matching workloads to the most appropriate model

• use both open and proprietary models within the same environment

• switch models as business, performance or cost requirements change

• keep sensitive data within private or air-gapped environments where required

• manage a growing mix of AI workloads through a more unified architecture

• reduce dependency on any single model or provider

• build AI agents and automate workflows using natural-language prompts, without requiring deep technical expertise

The webinar will include a walkthrough of the Xinference platform, showing how organisations can deploy and manage 300+ out-of-the-box models across different environments.

What we’ll cover

The Enterprise AI Challenge

Why cost, security, model choice and architecture become harder to manage as AI usage grows.

Building a Smarter Multi-Model AI Foundation

How to match different workloads to the right model, cost and security profile.

Xinference Platform Walkthrough

How to deploy, manage and work across different AI models through a unified platform.

Extending into AI Automation with Xagent

How business users can build AI agents and automate tasks on top of the same AI foundation.

How to Get Started

Practical steps to evaluate and introduce a more flexible enterprise AI architecture.

Date: 15 October 2026, Thursday

Time: 10:00am 10:00 AM (SG/HK/MY/PH) | 9:00 AM (TH/ID-Jakarta) | 1:00 PM (Sydney/Melbourne)

Format: Online via Zoom

Language: English

Suitable for CIOs, CTOs, Heads of AI and Data, Enterprise Architects, Digital Transformation leaders, AI engineering teams, and business leaders responsible for scaling enterprise AI.

Seats are limited. Reserve your place today.