The explosion of Deep Learning within Education

Simply put there is no hiding the explosion of AI and its applications. As AI, automation and machine learning push the boundaries in almost every single industry, businesses will have to embrace the technology and understand that it is a force for good. We will be taking a deep dive into some of the fascinating use cases and what this means for businesses around the world.

Supporting incubators within Academia

Turning that great idea into reality takes many different forms of resources and skill sets – Ranging from the much needed compute power need to run POC’s and production environments to business strategy, marketing, commercial thinking and much more. We have helped start up transform into viable businesses with our partnerships and collaborative approach. We will be taking a deep look into how we achieved this and how you too can leverage our skills, expertise and network to help accelerate your incubator start ups.

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.

Importance of OEM alliances

We will also be taking a deeper look at the how OEM alliances such as IBM have helped universities with their Infrastructure strategy and environments to move away from a siloed approach, reducing complexity and costs whilst providing enhanced superior compute power that is required to run advanced AI initiatives and meets the need of running large research projects.

Nibbles and Networking