IN-PERSON EVENT

Business Transformed with AI and Data

Harness the power of generative AI, predictive ML, and data analytics to scale and respond to customer demands. AWS makes it fast, easy, and cost effective to move your existing applications to the cloud and build nearly anything you can imagine.

 31 October 2023 | 08:00 - 18:00 GMT

Please note, we have now reached capacity for this event

Discover how generative AI and data analytics can transform your business

It might feel like a bit of a buzzword, but GenAI has already proven itself to be a powerful tool that is disrupting industries the world over. With so many use cases and integration opportunities, it's important to know how to apply this revolutionary technology in a way that is best fit for your organisation's goals.

Join AWS and our community of industry leaders such as Ocado Technology, Synthesia, and Aviva for a day of discussions around data and AI/ML-- topics will range from modern data strategy and responsible AI usage, to sustainability, customer experience, and diversity.

Throughout the day, you'll hear insights and concrete examples of how business leaders like yourself are putting this technology to work creating efficiency and business value. See agenda.

Business Transformed is a free event that brings the technology ecosystem together to connect, collaborate, and learn about how AI & Data are transforming businesses around the world. Whether it's the latest updates on Amazon Bedrock or the strategic collaboration between AWS and Anthropic, the goal of this event is to provide customer insights and best practices on AWS Cloud, innovation, data and AI/ML as well as giving you the opportunity to hear from our customers and partners. Join AWS specialists as they share their insights and expertise on the latest developments in these cutting-edge technologies.

Business Transformed with Data and AI will be action packed with brand new and exclusive content, sessions, demos and activities. Register today and meet with AWS customers, subject matter experts and AWS partners.

Keynote and locknote speakers

Data heroes 350 x 350 - 5

Melanie McGrory

Director, EMEA Tech and Customer Solution Manager, Amazon Web Services

Data heroes 350 x 350 - 6

Jeff Johnson

Director, UKI, Amazon Web Services

Data heroes 350 x 350 - 7

Frances Pye

Strategic Partnerships, Anthropic

Data heroes 350 x 350 - 8

Swami Sivasubramanian

VP, Database, Analytics and Machine Learning, Amazon Web Services

We have now reached capacity for this event

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Agenda

  • Business Track
  • 08:00 – 09:00

    Registration & Welcome Breakfast

    09:00  – 10:00

    Keynote

    Speakers:

    • Melanie McGrory, Director, EMEA Tech and Customer Solution Manager, Amazon Web Services
    • Jeff Johnson, Director, UKI, Amazon Web Services 
    • Frances Pye, Strategic Partnerships, Anthropic
       

    10:00 – 10:30

    Break

    10:30 – 12:00

    AI for Good

    • Generative AI is increasingly a point of focus globally. Scalability of the cloud, a massive proliferation of data, and the rapid advancement of ML technologies have positioned AI for wide-scale adoption. History, however, has taught us that realizing the value of transformational technologies isn’t always a linear process. It requires leadership, cultural shift, operating model changes, and investments in new skills. In this session, Phil Le-Brun, a former CIO, will share lessons learned from past major technological shifts, how leaders can apply them to generative AI, and the differentiated approach that AWS is taking to democratize generative AI.

      Speaker: 

      • Phil LeBrun, Enterprise Strategist at AWS
    • Hear from Motability Operations about how they are using AI to provide assistance to their customers when they need it the most. MO are augmenting connected car data with breakdown data and applying AI to predict and pro-actively prevent breakdowns. MO are also exploring how data can help with the electrification of their fleet by enhancing existing data about EV charge points to consider accessibility.

      Speakers: 

      • Rob Rugman, Head of Architecture at Motability 
      • Ankur Agarwal, Head of Product at AWS
    • As regulatory frameworks grow increasingly complex, organisations face mounting challenges in ensuring compliance across all business lines. Manual review of lengthy regulatory documents to extract requirements is tedious and prone to human error. Parameta Solutions, the data & analytics arm of TP ICAP, have overhauled this process using generative AI.

      Speaker:

      • Eric Sinclair, CEO, Parameta Solutions at TP ICAP
    • Speaker:

      • Jules Marshall, Director of Product Data at BBC

    12:15 – 13:00

    Lunch

    13:00 – 14:35

    Modern Data Strategy for Generative AI

    • In a fast changing world where generative AI holds immense potential and requires careful safeguarding, it is more important than ever for organizations to stay focused on solving for business priorities. Organizations need a modern data and AI strategy in order to innovate rapidly with gen AI at scale. This topic provides an overview of addressable use cases for gen AI; the approach to mobilizing and scaling business value; how to think holistically about data and AI; and considerations for technology, people, process, and mindset.

      Speaker:

      • Craig Suckling, Worldwide Head of Data Strategy, AWS
    • Embracing Data Transformation and GenAI is essential for fostering innovation. However, building a data-driven culture often presents challenges, as highlighted by a recent survey of chief data officers (CDOs). Join our expert Executive Panel for a thought-provoking discussion at the intersection of Diversity in Technology, Leadership, and the impact of Generative AI. This session will explore GenAI's potential in shaping a more inclusive workforce and forward-thinking organizational culture, address the role of Inclusive Leadership in driving innovation and equity, and delve into the Power of Intentional Allyship to empower women in tech roles and enhance tech organizations.

      Speakers:

      • Kinnari Ladha, CDO, Manchester Airport Group (MAG) 
      • Jaeger Glucina, MD & Chief of Staff, Luminance 
      • Farhin Khan, Head of Databases, UKI, AWS 
      • Erik VanZetta, Director of Data, EMEA, AWS 
      • Shari Elia, Head of WW GTM - Data Migration and Modernisation

    14:40 – 15:00

    Break

    15:00 – 16:35

    Breakout Sessions 1 & 2

    • The move to zero carbon is a challenge impacting all industries, economies, and communities. Data and AI play a fundamental role in tracking progress, partnering on end-to-end carbon footprints, and inferring opportunities to improve. This session will share insights form industry leaders on how data is helping to drive transformation in this field, and provides a forum for open conversation to share learnings in a smaller group.

      Speaker:

      • Tanya Coutray, Global Data and Analytics Strategy Leader, AWS
    • For today's businesses trying to anticipate customer needs, create personalized content, and deliver consistent, engaging experiences, every customer interaction becomes a valuable piece of data. Analyzing the data to generate meaningful insights that translate to actions can be the biggest factor in success. Join this session to hear from Stefan Kalcher, SVP of data platform and analytics at DAZN, on how DAZN are using their data to deliver unparalleled experiences for their viewers, especially in a fast-paced industry such as sports.

      Speaker:

      • Stefan Kalcher, SVP Data and Analytics, DAZN

    Breakout Sessions 3 & 4

    • A great online grocery experience is about more than a slick webshop; it’s also about getting those products you want delivered to your door at a convenient time, a competitive price, and when you expect. Join us in a discussion with Gabriel Straub, Chief Data Officer at Ocado Technology to explore how Ocado has been using data and ML for over 20 years to change the way the world shops, first as a UK based online only grocery retailer and now as a technology and solutions business that helps the worlds biggest retailers create a great customer experience with superior economics.

      Speaker:

      • Gabriel Straub, Chief Data Officer, Ocado Technology
      • Ahmed Raafat, Principal Solutions Architect, AWS
    • AWS database services empower mission critical workloads and now generative AI applications, and migrating and modernising databases to the right AWS services can be challenging.

      Data is at the center of every application, process, and business decision, and developing a strategy to migrate and modernise databases with AWS will help you achieve key performance goals and unlock new opportunities to transform.

      This session highlights actionable mechanisms that technology leaders can use to drive a data migration and modernisation strategy that puts them in the best position to become data-driven and utilize AI/ML capabilities on AWS.

      Speaker:

      • Shari Elia, Head of WW GTM - Data Migration and Modernisation, AWS

    16:35 – 16:50

    Locknote

    Speakers:

    • Swami Sivasubramanian, VP, Database, Analytics and Machine Learning, Amazon Web Services

    17:00 – 18:00

    Networking Drinks

  • Tech Track 1 - Data
  • 08:00 – 09:00

    Registration & Welcome Breakfast

    09:00  – 10:00

    Keynote

    Speakers:

    • Melanie McGrory, Director, EMEA Tech and Customer Solution Manager, Amazon Web Services
    • Jeff Johnson, Director, UKI, Amazon Web Services 
    • Frances Pye, Strategic Partnerships, Anthropic
       

    10:00 – 10:30

    Break

    10:30 – 12:05

    Modern Data Strategy, Databases and Architecture

    • Organisations are facing a new scale of data, coupled with the need to maximise its potential for business-impacting results. Join this session to hear from AWS experts on the best practices to build a data foundation that delivers the scale and agility needed in the modern world. We will be joined by Direct Line Group, who will share their experiences of using a unified Data Analytics Platform on AWS with a "Lake shore marts (LSMs)" concept for self-service analytics across business lines for use cases like real time pricing.

      Speakers:

      • Ian Meyers, Director of Product Management and Engineering, AWS
      • Christopher (Chris) Solimo, Head of Data Engineering, Direct Line Group
    • Discover how you can build a modern data warehouse with Amazon Redshift to use diverse data to provide near-real time insights. Dive deeper into the various architectural patterns that use cutting edge capabilities such as Zero-ETL, Serverless and ML-powered autonomics to build a unified data system, simplifying data management and insights. We will be joined by Sophos, who share their learnings on harnessing the power of a modern data warehouse to derive actionable intelligence from billions of rows ingested daily to provide cybersecurity-as-a-service to their customers.

      Speakers:

      • Sandipan Bhaumik, Senior Solutions Architect, Analytics at AWS
      • Guy Roberts, VP, Labs Platform, SophosLabs
      • Hariharan Perumal, Head of Platform Eng. Sophos

    12:15 – 13:00

    Lunch

    13:00 – 14:35

    Databases and Cloud Datawarehousing

    • Join this discussion to understand how AWS partners are helping organisations drive innovation with Data. AWS partners, Cloudwick and Mental Health Innovations share details on how unlocking insights from data on AWS, they've improved their ability to identify and de-escalate over 9,500 life-threatening situations. We will also understand how Liberty Specialty Markets tapped the expertise of Mesh-AI to transform their claims handling process to be faster, more informed and compliant

      Speakers:

      • Simon Bustamante-Dick, Partner Analytics Leader, EMEA at AWS
      • Mark Ungless, Director of Data Insights, Mental Health Innovations
      • Harshdeep Singh, General Manager – EMEA, Cloudwick Technologies UK
      • Simon Bradley, Global Head of Technology Data and Analytics, Liberty Speciality Markets
      • Mo Beldo, Consulting Director, Mesh-AI
    • Join this session to learn how to add relevant and contextual search functionality to your websites, applications or document repositories, creating interactive experiences for users. Discover how Amazon OpenSearch Service provides functionality to build next-gen Search applications using both text and vector representations with Machine Learning algorithms to rank results and serve up the most relevant resources for users. We will hear how Ocado use insights from their application logs using Opensearch.

      Speakers:

      • Ashley Mitchell, Senior Opensearch Specialist, AWS
      • Hajer Bouafif, Senior Opensearch Solutions Architect, AWS
      • Lucas Rudi, Engineering Lead, Ocado

    14:40 – 15:00

    Break

    15:00 – 17:00

    Big Data and Partners

    • In industries with rigorous regulations such as Financial Services, the impetus for transformation relies on the agility, scalability, performance and innovation of underlying data platforms. Join us as we uncover the remarkable journey of 10x Banking, a fintech trailblazer that harnessed the capabilities of AWS cloud-native data technologies as they modernized their "SuperCore" banking solution, all while ensuring scalability, security, and customer experience. We will delve into the obstacles faced and examine how 10x Banking surmounted them with their state-of-the-art AWS-native solution resulting in 50% reduction in operational costs and 6x lower latency.

      Speakers:

      • Venkatesh Periyathambi, Senior Database SA, AWS
      • Olanrewaju Jimoh, Database SA, AWS
      • Stuart Coleman, Director of Engineering, 10X Banking
    • FundApps provides compliance as a service to the investment management industry, monitoring over 15% of the global AuM for shareholding disclosure every day. After reaching the limits of the previous generation of the platform, FundApps completed a re-architecture initiative leveraging cloud native principles to save money, improve scalability and create new product opportunities. In this talk, we will share how FundApps achieved 2x better performance and 70% reduction in database costs by moving away from self-hosted, single-process application to a cloud-native, distributed architecture in AWS, enabling product innovation which will power the next stage of their growth

      Speakers:

      • Jonathan Kerr, Senior Database SA, AWS
      • Islam Mahgoub, Senior SA, ISVs AWS
      • Toby O’Rourke, CTO, FundApps

    16:35 – 16:50

    Locknote

    Speakers:

    • Swami Sivasubramanian, VP, Database, Analytics and Machine Learning, Amazon Web Services

    17:00 – 18:00

    Networking Drinks

  • Tech Track 2 - AIML
  • 08:00 – 09:00

    Registration & Welcome Breakfast

    09:00  – 10:00

    Keynote

    Speakers:

    • Melanie McGrory, Director, EMEA Tech and Customer Solution Manager, Amazon Web Services
    • Jeff Johnson, Director, UKI, Amazon Web Services 
    • Frances Pye, Strategic Partnerships, Anthropic

    10:00 – 10:30

    Break

    10:30 – 12:05

    AI and Machine Learning and Gen AI

    • We are at the inflection point in AI/ML with generative AI paving the way for new and innovative solutions. Join us to see how you can build such next generation apps using AI/ML on AWS and hear from Sage, a British multinational enterprise software company, on how they are using generative AI to improve their product offerings.

      Speakers:

      • Denis Batalov, Tech Leader, ML & AI, AWS 
      • Ayesha Ansari, Director Data Products, Sage
    • Generative AI has opened new possibilities for unique end-consumer experiences, be it personalised recommendations or next generation search. In this session, we will explore how you can create a personal recommendation and promotion engine, by using a large language model (LLM) with vector databases as well as hearing from our partner, Slalom, on how they are creating hyper personalised experiences for their customers using Amazon Bedrock.

      Speakers:

      • Corvus Lee, Sr. GenAI Labs SA, AWS
      • Richard Fayers, Senior Director, Slalom

    12:15 – 13:00

    Lunch

    13:00 – 14:35

    GenAI SageMaker and MLOPs

    • How can you prevent large language models (LLM) from hallucinating to provide accurate insights based on your organisation's needs and data? In this session, you will see in action some of the techniques like in-memory context and Retrieval Augmented Generation (RAG) to achieve better outcomes from your LLM. You will hear from our customer Center Parcs on how they are partnering with Firemind to get useful insights from their data.

      Speakers:

      • Daisy Riley, SA Builder at AWS
      • Ahmed Nuaman, Managing Director at Firemind
      • Adi Clowes, Head of Business Intelligence at Center Parcs
    • Industrialising machine learning (ML) environments in your organisation requires a focus on people, processes and technology. In this session, you will explore these MLOps pillars and how to extend MLOps to support Foundation models and see an example from Aviva of how they have built their MLOps practice using SageMaker.

      Speakers:

      • Simon Gatie, Principle Analytics Domain Authority, Aviva
      • Omar Kahil, AWS Senior Consultant
      • Srivalsan Mannoor Sudhagar, AWS Cloud Architect

    14:40 – 15:00

    Break

    15:00 – 17:00

    Security and Low Code / No-Code

    • As organisations adopt foundation models, concerns surrounding data privacy, security, and compliance have become paramount. To strike a balance between agility, innovation, and adherence to standards, a robust platform becomes essential. In this session, explore what AWS is doing to provide security of generative AI services in the cloud and what customers can do to operate these models securely.

      Speakers: 

      • Talha Chattha, AI/ML Specialist SA, AWS
    • Experience the power of low-code/no-code AWS services that can be used throughout a machine learning life cycle and learn how Thomson Reuter is enabling business users and analysts to leverage machine learning with an AI platform built on low-code services like SageMaker Canvas.

      Speakers:

      • Simone Zucchet, Senior Solutions Architect, AWS
      • Maria Apazoglou, VP, AI/ML and BI Platforms, Thomson Reuters

    16:35 – 16:50

    Locknote

    Speakers:

    • Swami Sivasubramanian, VP, Database, Analytics and Machine Learning, Amazon Web Services

    17:00 – 18:00

    Networking Drinks

  • Startup Loft
  • The Startup Loft is our dedicated hub for startups of all shapes and sizes to learn more about the ways GenAI and Data are being leveraged by the most innovative businesses in the UK & Ireland. Join investors, founders, and leading startup experts from companies like Synthesia, Antler, and Instadeep as they take the stage at the Startup Theatre, see GenAI in action at the demo pods, and get your questions answered at the Startup Expert bar.

    10:00 – 11:00

    Unleashing Innovation: Fine-Tuning LLMs to build powerful Generative AI Solutions

    This presentation will delve deep into the transformative potential of fine-tuning LLMs, showcasing how it paves the way for groundbreaking generative AI applications. We will discuss the intricacies of customizing these models to meet specific industry demands, enabling organizations to craft tailor-made solutions that drive innovation and competitive advantage.

    Speaker:

    • Jenny Vega, Startup Solutions Architect, AWS
       

    11:00  – 12:00

    Investor Panel

    From cutting through the GenAI hype to identifying where the dry powder is really hiding, join this session to get the lowdown from a panel of seasoned investors to understand which industries they're backing, what makes a successful deeptech startup, and the common mistakes founders are making when pitching for investment. 

    Speakers:

    • Dona Haj, Startup BDM, AWS
    • Jed Rose, Partner, Antler
    • Rohit Muthar, Partner, Digital Horizon VC
    • Nichola Bates, Head of Global Accelerators and Innovation, Boeing
    • Will Bennett, Investor, Seedcamp

    12:00 - 13:00

    Lunch

    13:00 - 14:00

    From Farm to Cloud: Building Sustainable Computer Vision AI/ML Pipelines with AWS

    This session will discuss the common architectures and approaches when building end-to-end AI/ML solutions on AWS. Join to learn about building Machine Learning Pipelines, ML Ops workflows and how to train and deploy ML models in a sustainable fashion. Adam Askew, CattleEye’s CTO along with Jonah Craig, AWS Solutions Architect will showcase the real life example of CattleEye, and how they leverage Amazon SageMaker and AWS Panorama to run their ML models at edge locations on farms across the world. Attendees will dive deep into the AWS AI/ML Stack and how these services can be utilised through a real world, cutting edge example.

    Speakers:

    • Jonah Craig, Startup Solutions Architect, AWS
    • Adam Askew, CTO, CattleEye

    14:00 - 15:00

    How We Built a GenAI Unicorn

    Just a few months ago, Synthesia announced a $90M Series C raise, valuing the company at $1B, achieving unicorn status. As a company who has been building products with GenAI and growing their customer base way before the hype, we're peeling back the layers to understand the strategical decisions that impacted their go-to-market strategy and reveal best practices for others wanting to ride the same wave.

    Speakers:

    • Leon Rees, Principal Tech & VC BD, AWS
    • Daniel Verten, Strategy, Synthesia

    15:00 - 16:00

    The Art of the Possible: A Discussion on the Next Data Revolution

    Hear from industry luminaries about the innovative ways they are leveraging data to improve customer experience, make data-driven decisions, and disrupt industries. Discussion points will include: How business leaders can leverage AI/ML and data for improved customer experience, growth, and scale

    Speakers:

    • Laura Modiano, Principal Tech & VC BD, AWS 
    • Bhavik Sangvi, Product Director, XYB by Monese
    • Benn Achilleas, Founder & CEO, Buff Up
    • Simi Lindgren, Founder & CEO, Yuty
    • Eldar Tuvey, CEO, Vertice

    16:00 - 17:00

    Failing Fast: Lessons learned from building an AI led company

    Join us for a panel of experienced entrepreneurs and investors who have built AI-led companies. The panelists would share their stories of success and failure, and offer insights on how to build an AI-led company that succeeds. We will tackle the common pitfalls to look out for, how to create a culture of innovation and experimentation and what ethical considerations that founders need to be aware of.

    Speakers:

    • Sam Edge, Head of EMEA SpecSeg BD
    • William Tunstall-Pedoe, CEO & Founder, Unlikely AI
    • Ben Hookway, CEO, Relative Insight
    • Meryem Arik, Co-founder & CEO, TitanML
    • Waqaas Rehman, BD Lead, Instadeep
  • Workshops
  • Hands-on technical workshops: Drop in and sharpen your technical skills by attending one of our four technical workshops; covering modern data warehousing, building a semantic search engine, no-code machine learning, as well as a deep dive on generative AI services offered by AWS.

    10:30 – 17:00

    Build a Semantic Search Engine on AWS

    We will cover fundamentals of text and semantic search using Amazon OpenSearch and Amazon SageMaker. You will learn how to build semantic search system by leveraging modern techniques including transformers and conversational agents.

    Level: 300
    Duration: 2 hours

    10:30 – 17:00

    Modern Data Warehousing

    Gain hands-on experience with Amazon Redshift, by creating a cloud data warehouse; sharing live data between clusters, utilizing Redshift ML for machine learning, querying data lakes with Redshift Spectrum.

    Level: 300
    Duration:
    2 hours

    10:30 – 17:00

    No-code, Machine Learning With AWS

    This workshop shows customers how to enable themselves using no-code Machine Learning via Amazon SageMaker Canvas. By solving real-world challenges based on publicly available datasets the workshop demonstrates how anyone is able to leverage machine learning in an autonomous way.

    Level: 200
    Duration: 0.5 - 2 hours

    10:30 – 17:00

    Deep Dive on Generative AI using Amazon SageMaker

    Build, train and deploy large language models (LLMs) on common use cases to understand the Generative AI stack on AWS. You will learn how to use Amazon SageMaker to fine-tune and customise LLMs.

    Level: 300
    Duration: 2 hours

Speakers

(Full speaker lineup to be released in the coming weeks)

Untitled design - 1

TBC

CEO and Founder, Smedley Group; former Director of Data Systems, F1

Hero banners on UKI hub [1400 X 500] - 21

Dr Neil Ashton

Principal, Computational Engineering Lead - Advanced Computing & Simulation Service Team, AWS.

BUSINESS TRANSFORMED

Transform your business for a new era

Harness the power of generative AI, predictive ML, and data analytics to scale and respond to customer demands. AWS makes it fast, easy, and cost effective to move your existing applications to the cloud and build nearly anything you can imagine.

AWS UKI ExecLeaders

AWS Trackside: The Power of Data

 03 November 2023 | 13:00 - 20:00 BST