Day 1
Day 1
- Warren East - Chief Executive Officer, Rolls-Royce
Now more than ever, customers are relying on digital interactions with businesses, expecting them to be seamless and secure. Businesses in every single industry are working quickly to develop new and expanded ways to digitally engage with their customers while accelerating their shift to the cloud. As enterprises grapple with modernizing operations, the benefits of their digital transformation must be balanced by the certainty that it will bring sustainable value. Howard will talk about how a strong architecture strategy and deep industry expertise are critical to your hybrid cloud journey and digital transformation success. He will address key questions around why an open architecture matters as businesses embark on their digital journey and why hybrid cloud matters to bridge the gap between the new world of cloud and traditional technology investments.
- Howard Boville - Senior Vice President, IBM Hybrid Cloud
- The rate of change in the world is increasing exponentially, humanity has to change
- Energy companies including E.ON is at the center of new energy world
- How E.ON uses data and AI to drive the change (with latest use cases)
- Matthew Timms - Chief Executive Officer, E.ON Digital
Since the breakthrough in 2012, AI development has been rapidly evolving to cover broader use cases such as natural language processing and recommendation. This talk will focus on Intel's strategy to 1) support the compute hungry AI workloads with its diversified portfolio of hardware that can accelerate deep learning performance and 2) provide software to scale and streamline AI pipelines end to end.
- Wei Li - Vice President and General Manager of Machine Learning Performance, Intel
The energy industry is going through a double transformation. One is decarbonization, the other is digital transformation. The energy system will need to change substantially in the coming decades. Digital technology and AI will have an important role in minimizing the net carbon footprint of current operations; facilitating sectorial decarbonization and delivering the next generation of clean energy technology.
- Yuri Sebregts - Chief Technology Officer, Shell
- Will Sprunt - Chief Information Officer, Deliveroo
- Geng Lin - EVP & CTO, F5 Networks
- Hal Barron - Chief Scientific Officer, GSK
- Victoria Turk - Features Editor, Wired
- Max Heinemeyer - Director of Threat Hunting, Darktrace
- Max Heinemeyer - Director of Threat Hunting, Darktrace
- Eline Chivot - Senior Policy Analyst, Center for Data Innovation
- Emma Strömfelt - Chief Digital Officer, AniCura
- Hanneke Stellink - Director, AI Products, ING
- Lee Glazier - Head of Service Integrity, Rolls-Royce
- Andy Peart - Chief Marketing & Strategy Officer, Artificial Solutions
- Charles Radclyffe - AI Governance and Ethics Specialist and Former Head of AI, Fidelity International
- The new interpretability techniques making it possible to lift the lid on the black box to gain more business buy-in
- Making AI explainable and trust-worthy to bring on board your stakeholders from employees to senior leaders, shareholders and regulators
- Installing trust and transparency to win over the hearts and minds of your customers and drive better AI product uptake
- Shefaly Yogendra - Non-Executive Director and External Advisor to UKRI AI Review, JP Morgan US Smaller Companies Investment Trust and UKRI
- Will Cavendish - Global Digital Services Leader, Arup
- Jean-Marc Frangos - Member of The Board & Executive Fellow, Telecom Council & INSEAD
- Jenalea Howell - AI Market Lead, Informa Tech
- Juan Bernabe-Moreno - Research Fellow for Responsible AI & Chief Data Officer, Oxford University & E.ON
- Antonio Gulli - Engineering Director - Office of The CTO, Google Cloud
- Peter Grabowski - Austin Site Lead, Enterprise Machine Learning, Google
- Peter Ondruska - Head of Research, Lyft Level 5
We will demonstrate novel clustering techniques to help create interpretable audience segmentations from large scale data
- Gustavo Pereira - Senior Data Scientist, Spotify
Behind the numerous opportunities that AI can bring to many large organizations, there are significant investments in people, process and products that need to be in place for delivering success.
In Stanley Black and Decker, AI is a strategic priority towards growth and the presentation will cover product-related challenges and opportunities and approaches to monetization
- George Karakousis - Senior Global Manager - AI and IoT, Stanley X
Our biggest challenges can be answered with groundbreaking research powered by supercomputing at an unmatched scale. Organizations that are ready to lead in the field of Artificial Intelligence need to attract the world's best talent to fuel innovation AND the leadership-class infrastructure that can get them there now, not months from now.
AI leadership demands leadership in compute infrastructure
Scaling AI development and research poses some hard challenges. Not only do you need fast GPU's, but you also need to optimize the full data center as the computer. You have to build system interconnections, memory optimizations, network topology, numerics.
From the experience of thousands of deployed AI environments, and the evolution of our own NVIDIA research cluster, DGX SATURN V, we developed the industry-leading design formula for AI supercomputing, architected to shrink months of problem-solving into just minutes.
- Carlo Ruiz - Director AI Data Center Solutions, Services and Operations – EMEA, NVIDIA
- Jon Ellis - Components & Devices Product Manager - VP, Omdia
The enterprise of the future will change from experience-driven, leader-driven decision making to data-driven and AI-driven decision making. Organisational intelligence is the next generation of organisation.
- Torbjørn Folgerø - Chief Digital Officer & SVP, Equinor
- Appeaty - What would you like to eat?, Ernesto De Marchi, Founder, Kemanji s.r.l.
- EVJA - the Intelligent Support System for Agriculture, Paolo Iasevoli, Chief Marketing Officer and Co-founder, Evja SRL
- Pigro - Knowledge AI Experience, Nicola Abbasciano, Sales and Marketing Director, Pigro srl
Businesses are harnessing the power of data through AI technology to make the experience of travelling more seamless. In combination with human innovation, AI can overcome challenges to deliver valuable tools to consumers at speed.
- Sam Taylor - Head of Data Science, The Trainline
With digital transformation in place, to keep up with today’s business demands and win the game in the picky market, it’s increasingly important to not just test a piece of code from time to time, but re-invent software testing.
Come join Alex Pechinsky, QA consulting group expert and pre-sales manager at a1qa, for a substantive talk about the value of next-gen testing services on continuous software enhancement.
- Alex Pechinsky - QA Consultant, a1qa
- The Conversational AI Studio busy designing and building beautiful chatbots, Gianluca Maruzzella, CEO & cofounder, Indigo.ai
- The Social E-learning, Intelligent, B2B Platform to Create Personalised Learning Paths, Francesco Epifania, CEO& Co-founder, Social Things srl
- Building Reading Machines with Artificial Intelligence, Adolfo, CEO, Natural Intelligent Technologies srl
- Hazel Moore - Chairman & Co-founder, First Capital
Machine Learning and AI are beginning to show value across multiple industries for those organisations actively deploying them at scale. However, many are often trapped carrying out Proof of Concept projects, experimenting and developing models with teams struggling to implement solutions and reach production.
During this talk from The Data Analysis Bureau, we’ll explore the value of breaking the PoC cycle and how to retain the services in demand and deploy them through a development pipeline to reduce the costs of innovation. We’ll address how you move between R&D and application, get out of the PoC loop, the criteria, tools and timescales should you apply, and how you assess value to achieve rapid deployment. We’ll share our lessons and a case study from working with academia and industry to move machine learning and deep learning models from R&D into production.
- Eric Topham - Co-Founder & Data Science Director, The Data Analysis Bureau
Train delays have been a major problem in the UK’s public transport services for many years and the problem has been getting much worse over the last decade. An intelligent ensemble system has been developed to predict train reactionary delays. It consists of three key modules: Train DelayExplorer, DelayPredictor and DelayPreventer.
Wenjia Wang, Associate Professor in Artificial Intelligence, University of East Anglia
- Wenjia Wang - Associate Professor in Artificial Intelligence, University of East Anglia
How can we ensure data team spend less time on infrastructure and manual experiment tracking and concentrate on building custom models and the most valuable jobs?
- Giorgio Cortiana - Head of Advanced Analytics - Energy Intelligence, E.ON
Digital innovation is not possible without the tech skills to drive it. Most leaders today don’t have visibility into the technical abilities of their teams, making it impossible to build skills at scale.
Join longtime AI leader and head of learner experiences at Pluralsight, James Aylward for an in-depth conversation about his experience launching and scaling AI products, upskilling for modern technologies roles, and staying adaptable to innovate faster.
- James Aylward - SVP, Head of Leaner, Pluralsight
- Mapadore - Your Guide in the Sales Journey, Fabrizio Bosio, CEO & Founder, MAPADORE SRL
- Shaping the Future of Energy Systems with a Novel Simulator for Multi-microgrid Optimizations Based on a Self-adaptive Evolutionary Algorithm, Paolo Fracas, Founder & CEO, Genport srl - SPINOFF DEL POLITECNICO DI MILANO
- Predictive Hub, MIPU Energy Data srl
- Democratizing Robotics, Luca Valli, CEO, EUTRONICA SRL
- Joost van der Burgt - Senior Policy Advisor - Artificial Intelligence, De Nederlandsche Bank
- Lisa Frazier - Chief Innovation Officer, Wells Fargo
- Ritesh Jain - Former COO, Advisor, HSBC (Former), HBR, G20 GPFI, CFTE
- Annika Schröder - Head of AI Center of Excellence, UBS AG
- Asher Wesley - Data Science & Methodologies Lead, AI Center of Excellence, UBS
- Joost van der Burgt - Senior Policy Advisor - Artificial Intelligence, De Nederlandsche Bank
- Michael Conway - AI Practice Lead, IBM Services
- Francis Mumbi - Head - Data Office, Stanbic Bank Zambia
- Shuman Ghosemajumder - VP - Global Head of AI, F5 Networks
- Arun Verma - Head - Quant Research Solutions, Bloomberg
- Paul Andrusyshyn - GM - Financial Services, Kore.ai
- Chris Ward - Principal Consultant - Mapa Research, Informa Financial Intelligence
- Fabian Eberle - COO & Co-Founder, Keyless Technologies
H&M will present how they are working towards becoming an industry leader in Advanced Analytics and AI. Which will give them a competitive advantage through superior customer experience, smart decision making, and efficient processes. They have spent the last few years going from limited and scattered efforts to a centralized department with more than 120 people delivering value on a daily basis with AI. In the talk you will get insights into some of their key learnings and knowledge about how they are working on transforming a company that was founded over 70+ years ago.
- Errol Koolmeister - Head of AI, H&M
Finding the right product for your skin is difficult if you don’t know what your skin actually needs. Combining 135 years of skin care expertise and the newest technology in the field of AI and computer vision, Beiersdorf has taken a big step towards personalized consumer experience.
- Jasper Krog - Senior Global Digital Innovation Manager, NIVEA
- Lara Kaesemann - Senior Consultant, Beiersdorf
P&G creates a wide range of ‘daily touch’ products that impact the lives of billions of users on a daily basis. These products range from smart products with digital capabilities such the Oral-B toothbrush to a number of decidedly ‘analog’ products that make laundry rooms, living rooms, bedrooms, kitchens, nurseries, and bathrooms a little more enjoyable. This talk will broadly cover the AI value proposition in changing consumer insight generation and product discovery, in-use experience and product-market iteration. Narrowly, it will cover one or two use cases on the use of Deep Learning to reframe product design, discovery and experiences in superior ways..
- Venu Vasudevan - Director, Data Science & AI Research, Procter & Gamble
- The optimal use of colour in product design can reduce waste and design time. However, current colour forecasting approaches can fail to deliver the information that companies need to make the correct decisions and do not take advantage of the growing amount of data that is available that could potentially guide these decisions. This presentation will focus on data-driven work that has been carried out in collaboration with industry. The work uses machine learning and digital image analysis to deliver insights into colour meanings that can guide companies' product colour decisions. Some new work on data-driven colour trend forecasting will also be presented.
- Stephen Westland - Lead researcher on FFF’s machine learning activities relating to data-driven design, and creator of Colourpedia, University of Leeds
The retail industry has been facing quickly evolving market pressures due to digitalization and technology advances. Today, the COVID-19 pandemic is increasing the pressure retailers are facing to change how they do business. Can AI help retail survive? The short answer is yes. As in many AI use cases across verticals, the pandemic simply magnifies the need for automation and more principled predictive analytics.
- Mark Beccue - Principal Analyst - AI & NLP, Omdia
This session is upon invitation only. If you'd like to attend, please contact Natalia Stones to enquire at natalia@aibusiness.com