Think You've Achieved a Digital Transformation? Think Again!
Date and time
Many organisations have been through digital transformation projects, and now realise their job is only just beginning.
About this event
Join our panel of innovative technologists for cocktails, networking and a unique dialogue about data that you won't find anywhere else.
Data is an everyday part of our lives now. Covid stats more than anything else have made everyone so much more cognisant of the influence, power and pressure of data. Coupling this with the higher level of consciousness around GDPR, privacy and data regulations feels like we are rolling into an era of Data 2.0. Many organisations have been through digital transformation projects, and now realise their job is only just beginning.
With the rise in data automation what will Data 2.0 look like and what does it mean for your organisation? Will the speed at which we expect to get and understand data be quicker? Will traditional visualisations still be the expected or will we expect enhanced, richer and animated visuals? We have the opportunity to have knowledge at our fingertips but if the data behind this is poor quality or not correctly verified, the knowledge is worthless.
Add in the growth of the Metaverse and virtual worlds becoming add-ons to our real world lives, this allows us to visualise, monetise and share data in larger and larger amounts in a world that is not quite our world. What could the Metaverse do for us and how can we be ready and help shape it, and make it feel tangible?
With these pressing questions for data practitioners, the importance of tools that allow automation of data processes, audits, visualisations and data governance at scale has never been greater. In this session ‘Robots Don't Make Mistakes - But Data Does!’ We will discuss what CAN you automate? What SHOULD you automate? How do you discern the best tools? How do you develop an effective strategy around this and how to maintain enough agility in your automation pipeline to be able to serve the needs of the new and the rapid?
Guests can look forward to joining the discussion and listening to our panel sharing delivered experience of how to effectively optimise and apply an enterprise organisation’s data to drive business objectives.
Topics will include:
- Data Automation
- Applied Analytics
- Data Science
- Data Engineering
- Data Management
- Analytics and Visualisation
- IoT Analytics
- Predictive data
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.
Justin Wilson, Senior Director, Software Development and Technology, Precision Medicine Group
Justin Wilson is a software development executive with two decades of experience in the healthcare industry delivering business-critical technology solutions that drive operational excellence and increase speed, efficiency, and quality. In his current role at Precision Medicine Group, he is leading multiple software development teams to harness data-driven evidence to be used in real-world environments. In his career, he’s overseen the launch of both regulatory and commercial healthcare applications from delivering FDA mandated REMS Applications to enabling Pharma Sales Reps with critical data for client engagements. Justin is passionate about changing how healthcare is delivered and believes that technology can truly change the patient and provider experience.
Ryan Palsho, Senior Vice President of Global Data Consulting & Solutions, The Virtual Forge
As the Global VP of Data Consulting and Solutions at The Virtual Forge Ryan helps some fo the world’s largest companies make sense of their data through targeted strategies that emphasize people and processes over technology. As a non-quant, Ryan is not your typical data practitioner but has found his calling as a data translator between business objectives and technical realities.
Ryan has an undergraduate degree in Communications from Villanova with a focus on ancient Greek rhetoric and his masters of science in Knowledge Management and Information Strategy from Columbia University.
Spaces are limited so please do reserve your place as soon as possible.