Big Data Analytics

5 November 2020

Business Design Centre, London




Thursday 5th November, 2019

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.



Don’t be overcome by events: event-oriented architecture

In this talk, we will explain how you can ensure you are not overcome by events which can impact on the ability of your systems to maintain safety, security and productivity. We will highlight how event-oriented architecture can positively impact, inform and delegate your organisations ability to maintain operational capacity in an age of frequent disruption.


Intelligent data-driven governance

As organisations seek to secure a competitive advantage through the productionalizing of AI and machine learning in order to drive innovation, whilst also managing the existing challenges such as regulatory compliance and operational productivity, the need to ensure a robust data governance framework has never been more pressing.

We address:

  • The need to abandon traditional data governance
  • Adopting a more intelligent approach
  • The role intelligent data governance plays in supporting AI projects
  • Delivering measurable benefits
  • Being more operationally efficient
  • Supporting customer journeys


Edge computing: acceleration using data across the globe

As businesses are required to derive more and more value from their data, the need to adopt edge computing, machine learning and related disruptive technologies continues to grow. Such adoption requires combining public cloud platforms with cutting edge software and machine learning algorithms in customer data centres to achieve a balance between agility and efficiency.

We look at:

  • Generating large and/or IoT datasets
  • How to increase the speed at which you analyse hug data sets from across the globe
  • How edge software provides real-time insights from data



Accelerated data analytics: keeping pace with a changing world

Many databases can no longer handle the volume of data they produce. One result of this inability to keep pace with data ingestion is that analytical reporting takes too long, queries are not managed to their full potential and complex analytics are not utilised.

A modern approach is now required in order to meet the challenge posed by the era of massive data.

By attending this session, you will discover the cross-sector value of accelerating BI processing power and gain access to previously unimagined insights.



Becoming an AI-driven enterprise: augmented intelligence

In order to train high performing algorithms, machine learning and AI platforms require significant amounts of data. Even big data powered organisations struggle to secure access to sufficient amounts of data in order to train the systems which need it.

By adopting a dynamic AI platform, you will ease the means by which you access data, gain value at speed and reduce the time in which it takes machine learning models to be trained and ready.



Consolidating your data lakes: unification of your data sources

As organisations multiply the means by which they source, secure and investigate their data sources, so too does the potential for adding needless complexity to their streams of data. This has led to many businesses inadvertently causing much of their big data analytics efforts to be siloed across the business.

in order to release this data from their siloes and deliver insights at speed in a way which complements customer experiences through the identification of innovative new product offerings it is vital that enterprise adopt a unified approach to data lakes.

In this session, we explore:

  • Access, transform and deliver data across lakes
  • Strengthen analytics users and tools
  • Adopt a modern and dynamic data architecture