Applied Machine Learning & AI

23 September 2020

Victoria Park Plaza, London




13 May 2020

The Seminars will take place from 12.15 – 13.00.
Delegates will be able to attend one seminar at the event. No pre-selection is required – delegates will be able to select which session they attend onsite.



AI powered chatbots: making bot building easy

By deploying AI powered chat bots you will be able to transform your contact centre agents into bot managers. This will enable them to cover more than 10x the work of a single human agent by allowing bot managers to better determine whether a customer is having a positive or negative experience quicker than purely human-led interaction through the application of real-time sentiment analysis. all the while your bots are free to observe, learn and improve performance over time.


AI and ML meets IAM

As the potential of AI and machine learning to play a key role in enterprise IGA grows, so too is the extent to which organisations are adopting this key technology to advance their security posture.

in this session, we will explore:

  • Adoption
  • Implementation
  • Governance
  • Benefits


Data mining and machine learning: solving analytical issues

The time has come to start better supporting end-to-end data mining and machine learning processes with a comprehensive visual and programming interface.

We explore how you can empower your analytics team with a simple, powerful and automated way of handling all tasks in the analytics life cycle.


The deep learning revolution: optimised storage, unlimited potential

GPU-accelerated computing only works as intended if the GPUs in question can receive data consistently and rapidly enough that the maximum utilisation is delivered, thus providing a significant shortening of time frames required to get results.

We explore how to address and navigate the ever-evolving AI and deep learning world, secure investment protection to meet future demands, the ability to independently scale and support the expanding use of deep learning appliances.


AI cloud architecture: building your AI capabilities

Being able to create personalised customer experiences by connecting applications and data across multiple clouds is the ambition for many enterprises. Sadly, many fail in this endeavour due to a lack of agility in their enterprise architecture.

We address how you can deploy an agile integration architecture to support enhanced customer experiences, greater connection between apps and data and better defend your data in flight.


AI based event detection

Integrating machine learning within your security architecture makes it possible to screen millions of data points at without hinderance in order to detect any signs of current and emerging events. Such foresight provides business leaders with the opportunity to take steps to avoid or make gains from an event, whether that be a political event of global significance or an increase in manufacturing output.

We address:

  • Processing unstructured data and news information
  • Effectively process large amounts of data
  • Find the intelligence you need
  • Fine tune your event detection model according to your industry