24 HOURS PRE EVENT VIRTUAL PLATFORM OPENS FOR BROWSING
- Next-gen data science: building the workforce you need now and in the future
- Applied big data and AI in times of disruption
- Beyond the numbers: how to be a better data analyst
- Data storytelling: how to get people’s attention
- Analysing and modelling data in a complex world
- Tomorrow never knows: the crystal ball of predictive analytics
- Climbing the AI ladder: accelerate your journey
Conference Chair's Opening Address
Data modernisation in the UK public health sector
Director of Data and Data Science, Joint Biosecurity Centre, Test and Trace, Department for Health and Social Careview profile
Johanna Hutchinson, Director of Data and Data Science, Joint Biosecurity Centre, Test and Trace, Department for Health and Social Care
In order to modernise the digitalisation of the NHS and wider UK health sector, public health officials in collaboration with medical practitioners and policymakers need to establish pathways for new data to be pipelined into existing data collection points.
By harmonising the volume, velocity, variety and veracity of the various data sources, we can better establish previously unimagined relationships, bring together existing data in new ways, and make use of novel data which currently resides outside of public health records.
• The need to modernise public data health systems
• Promote greater collaboration among healthcare systems
• Pay greater attention to the digitation of public health data systems
Applied big data and AI in times of disruption
In today’s highly disruptive environment, the successful application of big data and AI offers enterprises, no matter their industry sector, with the potential to diversify their product offering, realise new business opportunities, survive downturns, and hold onto their customers.
We explore, how businesses which adapt to customer needs through the systematic exploitation of big data and AI, integrated with analytics, reveals previously unimagined possibilities for data-driven initiatives which support revenue generation.
Beyond the numbers: how to be a better data analyst
BI & Analytics Project Manager, NHS Digitalview profile
Titilayo Are, BI & Analytics Project Manager, NHS Digital
When doing data analysis, investing time with people and the process of analysing data, as well as its resources, will allow you to better understand the data you have been tasked to make sense of. By doing so you will significantly improve the data analysis process as well as the results from that analysis.
Exploring your mindset and getting to a place of true neutrality and purpose while working can help clear the mind to do a more thorough and complete study.
Join us as we explore how to see the picture, both big and small; understand the bias and the purpose of the data you are tasked with turning into a story.
Data storytelling: how to get people’s attention
Understanding what our experiences are and being able to quantify them and tell the stories of our lives is something that we can all relate to. The same can be said of the value that businesses gain from taking raw data and turning into, not just actionable information, but a story which is of business-wide relevance.
We address how best to tell a story with data.
- Focus on one idea
- Keep it simple
- Explore the things you know best
- Turn bad charts into compelling data stories
- Understand the story you want to tell
Analysing and modelling data in a complex world
Chief Data and Analytics Officer, Equifaxview profile
Kiran Samudrala, Chief Data and Analytics Officer, Equifax
The amount of data available will continue to increase at an incredible rate. Of equal relevance is the fact that the average human spends 11 hours processing information on a daily basis. This has led many to question how we are going to manage the processing, storing, and accessing of such vast amounts of information.
We address, how to better simulate, store, access, and link your data sets in order to realise your organisation’s data strategy.
Questions to the Panel of Speakers
Refreshment Break Served in the Exhibition Area
“Socratic bots”: using Socratic Dialectics and AI to battle misinformation on the web
Dr George Zarkadakis
Dr George Zarkadakis, Senior Fellow, Geotech Centre, Atlantic Councilview profile
Dr George Zarkadakis, Senior Fellow, Geotech Centre, Atlantic Council
The web has evolved into a platform for the rampant promulgation of misinformation and the proliferation and amplification of numerous conspiracy theories that have a detrimental effect on our politics (e.g., QAnon’s influence on the 2021 Capitol Hill attack) as well as the effectiveness of public policies (anti-vaxxers, etc.).
Most strategies to counter misinformation have been centralized top-down enforcement; for instance, the banning of accounts (including an acting US President’s) on social media.
Arguably, these strategies have been counter-productive, in many cases confirming in the minds of misinformed citizens that their beliefs must be true if they are so “resisted by the elites”.
George will present a project that is currently in development, whereby AI conversational agents are used to simulate “elenchus”, a form of dialogue invented and practiced by Socrates and his students in Ancient Athens.
Also known as “Socratic dialectics”, their purpose was to examine the deep-held beliefs of an interlocutor so that they may reflect, or even doubt, the validity of those beliefs.
That method was essential for arriving at consensus among citizens on what “truth” was in a democratic city like Athens, where there was no higher authority to define or impose, a top-down version of the “truth”.
The project is currently testing how “Socratic bots” running the elenchus algorithm could be a more effective, bottom-up and decentralized, strategy towards battling misinformation on the web.
• Presentation on why misinformation is so hard to control on the web
• Simulation of the Socratic method using conversational agents
• Current project of “Socratic bots” in design and user testing phase
Climbing the AI ladder: accelerate your journey
Data is the modern-day obsession for business, government, and society alike. Without it, businesses do not progress, governments fail to improve services and society remains locked in a state of ignorance.
For data-led enterprise initiatives, the issue isn’t necessarily volume but the organisational capacity to successfully adopt the systems and structures needed to turn data into value.
AI unlocks the value of data and hybrid multi cloud is the platform to democratise the data.
- Make your data ready for an AI and multi-cloud world
- Engage in high-value work without limits
- Establish workflows that automate decisions and experiences
- Turn aspirations into outcomes
Questions to the Panel of Speakers and Delegates move to the Seminar Rooms
Networking Lunch Served in the Exhibition Area
Online Session Two
- Leveraging open source data and AI platforms
- Perpetually learning machines: keeping humans in the loop
- Building trust in big data and AI
- Real time decisions require a modern architecture
- GPU accelerated data analytics: unlock value and context from your data
- Where will your data live?
Conference Chair’s Afternoon Address
Leveraging open source data and AI platforms
Mike Younggon Cho
Head of Marketing Data & Analytics, Samsungview profile
Mike Younggon Cho, Head of Marketing Data & Analytics, Samsung
There is limitless demand for insights and data-driven answers from various stakeholders in today’s enterprise environment. An established central Marketing Data & Analytics team not only answers business questions but also transforms the organization into machine learning-based automated decisions and actions in the era of Multi Moment Marketing. We address how each sub-function under this CoE umbrella connects dots and creates synergy, bringing together other stakeholders in a complex and decentralized organization.
• Importance of the central marketing data and analytics team as a Centre of Excellence in the marketing planning process
• The synergy between sub-functions such as Consumer Insights, Marketing performances, Advanced Marketing Analytics
• Insight into action and business transformation
• Required profiles and capability analytics for advanced marketing analytics
Perpetually learning machines: keeping humans in the loop
Intelligent systems are being permanently baked into every facet of business life. From smart, connected systems working hand in hand with powerful cloud AI systems which are able to aggregate input from devices in the real world, to an environment in which computing will finally become truly democratised as human capabilities are augmented by tailor-made AI solutions and tools.
Despite such progress, many organisations are in search of new ways to plug the comprehension gap in AI and enterprise data.
We address, how HILT in ML can advance the accuracy of datasets, improve safety and precision, avoid bias, augment rare data, and maintain expert level input.
Building trust in big data and AI
Many consumers struggle to trust AI. Naturally, they prefer genuine, human-led interactions.
By combining AI with human ethics, businesses can improve consumer relations, produce better engagement, retain their customer base, and secure revenue streams.
- Real-time, omni-channel AI capabilities
- Control your own AI for impact and empathy
- Switch between opaque and transparent AI
- Deploy the tools to build and enable empathetic actions
- Understand and decide the best decision for the customer
- Ethical considerations integrated with your ML
Questions to the Panel of Speakers
Afternoon Networking and Refreshments served in the Exhibition Area
Reimagining and improving Enterprise Data Quality at scale at PayPal
Senior Product Manager (Data), PayPalview profile
Madhumita Mantri, Senior Product Manager, PayPal
Sudhir Muthuraj, Director of Product Management, PayPal
This presentation will cover the following:
• Industry trends, market insights and current data quality challenges faced by enterprises similar to PayPal
• What is our strategy & solution?
• Learnings and what’s next
GPU accelerated data analytics: unlock value and context from your data
Identifying value in large datasets is vital, but many of today’s CPU systems are struggling to keep pace with the intensity of current data demands. This leaves your data science function without the cutting edge necessary to unlock the value of enterprise data.
By deploying the next-generation GPU platform which is built to support the ambitious data-led plans of businesses who need to harness their rapidly growing datasets, data and analytics practitioners will uncover valuable intelligence in milliseconds, process massive amounts of data, customise and adapt resources at scale, and integrate into existing systems with ease.
Where will your data live?
The average business has 5 different cloud providers, which has led to a complex IT environment. With such unpredictable costs, inconsistent security features, and multiple management tools, instead of sourcing, organising, and achieving value from your data, organisations are left fighting unnecessary battles.
With a multi-cloud platform, you can bring consistent infrastructure and operations, you can choose the right cloud for each application.
- Agile with increased workload migration
- Easy onboarding for new assets
- Get your teams to market faster
- Simplified operations and automated processes
- Reduce risk and strengthen security
- Flexible consumption costs
Questions to the Panel of Speakers
Closing Remarks from the Conference Chair
Whitehall Media reserve the right to change the programme without prior notice.