Planning your AI journey… the key to mastering and unlocking the value of your data

With so many considerations and use cases for AI initiatives its easy to understand why many projects do not get the results required in the desired timeframes. We will share with you our proven methodology in running successful AI initiatives from idea casting, prioritisation of initiatives, POC through to production and scalability growth plans.

Why Infrastructure matters for AI & IT Economics

AI workloads, and especially deep learning systems, which process large amounts of data, are extremely demanding and require powerful parallel processing capabilities, and benefit from specific configurations. This is where advance compute power can play a vital role in not only the results and speed in which algorithmic models can be deployed in, but also can have major cost implications later down the line if the infrastructure is not designed to cope with growth.

Once you have gone so far down the road in your development it can become a challenge and time consuming to have to rethink and deploy a new infrastructure strategy, sometimes resulting in having to remodel or rewrite code.

We will be looking at why and how infrastructure can effect your results, performance, security and costs of your AI initiatives and  how to implement an infrastructure strategy to support your future requirements as your grow.

Fighting Financial crime with AI

We will be taking a deep dive into how AI can help fight against Financial Crime including various solutions available and presenting an interesting use case of how a major bank is using Fatbrain solution on IBM Power systems and the results they are achieving.

Nibbles and Networking