Join our panel of innovative technologists to discuss the Big Data Opportunity.

Companies today have vast amounts of data from too many sources. Our systems, platforms, machines, websites, apps and people are generating drastically more data points than we realise and many companies are ill-equipped to deal with the sheer volume of near-infinite data they have access to.

Modern businesses are the coming together of so many different elements of technology, and for technology leaders it’s almost impossible to truly understand all the change and all the usage. Technology leaders are often expected to know everything, anticipate everything and identify business risk.

We will explore how to achieve a centralised view of your data. This is possible, even when data is gathered from many, often bespoke or legacy systems. You’ll then be able to manage this and gain insights you didn’t realise were possible, translating the data into information that can aid decision-making for your organisation.

Guests can look forward to joining the discussion and listening to our panel sharing their practical and ethical experience of how to gain a centralised view of your data, no matter where this data is coming from.

Learn about potential solutions in the marketplace to help solve these issues.

Hear from fellow technology leaders who are experiencing the same business challenges.

Learn how you can approach implementing a data science led solution.

Topics will include:

Advanced Analytics

Data Science

Data Management

Business reporting

Process monitoring

Data consolidation/centralisation

Virtualisation & Visualisation

SPEAKER PROFILES:

Matt Wicks, Co-CEO, The Virtual Forge

The story of any product development is the story of data, of understanding what you want to achieve, and what you need to know to achieve it. Building those pipelines, grappling with that data and answering those questions is why Matt loves what he does, and has done for over 30 years. He has worked with companies as diverse as the BBC, NHS, Jaguar Land Rover and Adobe, as well as small product teams, and they all have two things in common - the need for insight from data, and the need to build, often faster and faster.

Dr Anthony Payne, Data Scientist, The Virtual Forge

Anthony has 10 years’ experience in statistics, big data analysis, and reporting across both academia and industry. His academic background focused on big data modelling, prediction, optimisation, and insight reporting to better understand how genetics can influence clinical diseases.

He more recently worked with a FTSE100 e-commerce organisation, delivering pricing optimisation, improvements to recommender systems, experimental design, and technical and executive reporting.