Day 1 - 6th September
08:30AM
(GMT)
Registration Opens
09:30AM
(GMT)
×
David Savage
Group Technology Evangelist
Harvey Nash Group | Tech Talks
09:30AM - Day 1
View AI for Enterprise: Chairperson’s Welcome
AI for Enterprise: Chairperson’s Welcome
. David Savage, Group Technology Evangelist , Harvey Nash Group | Tech Talks
09:50AM
(GMT)
×
Sebastian Santibanez
Director of Advanced Technologies
SoftServe
09:30AM - Day 1
View VIRTUAL PRESENTATION: Driving Business Value with Big Data and AI: A Case for Pilot-First Enterprise AI Projects
09:50AM - Day 1
View Driving Business Value with Big Data and AI: A Case for Pilot-First Enterprise AI Projects
Driving Business Value with Big Data and AI: A Case for Pilot-First Enterprise AI Projects
- For every success story, there are numerous examples of failure to implement and scale AI. Misalignment between leadership and technologists, an unclear understanding of what’s possible, or the lack of organizational support can drive organizations to a never-ending PoC cycle. It prevents them from harnessing AI’s actual potential value.
- In this session, we will explore the technological and use case landscape of AI projects. We will also explore a pilot-first approach to maximize the scalability of enterprise AI projects.
. Sebastian Santibanez, Director of Advanced Technologies, SoftServe
10:20AM
(GMT)
×
Myrna Macgregor
Head of Machine Learning - Strategy (Acting) & Lead, Responsible AI+ML
BBC
10:50AM - Day 1
View ON-DEMAND FIRESIDE CHAT: The What, Why and How of Responsible AI
11:30AM - Day 1
View Fireside Chat: The What, Why and How of Responsible AI
10:20AM - Day 1
View Combating fear of The Unknown – Building trust through explainability
Combating fear of The Unknown – Building trust through explainability
- How to build AI systems collaboratively
- The five stages of explaining AI in practice
- Overcoming hesitation to deploy AI-powered solutions
. Myrna Macgregor, Head of Machine Learning - Strategy (Acting) & Lead, Responsible AI+ML, BBC
10:40AM
(GMT)
×
Rob Elder
VP Data Centres
Bulk Infrastructure Group
10:20AM - Day 1
View VIRTUAL PRESENTATION: Building a Sustainable Digital Infrastructure for AI and Big Data
10:40AM - Day 1
View Building a Sustainable Digital Infrastructure for AI and Big Data
Building a Sustainable Digital Infrastructure for AI and Big Data
- Why is it important to consider sustainability when looking at digital services and infrastructure.
- What are the key considerations and opportunities
- How Bulk helped a UK based Fintech deliver a sustainable AI platform and significantly reduce cost at the same time.
. Rob Elder, VP Data Centres , Bulk Infrastructure Group
11:00AM
Networking Break
11:30AM
(GMT)
Manoj Saxena
Chairman
Responsible AI Institute
12:00PM - Day 1
View Responsible AI is Profitable AI: Lessons from early adopters
×
Myrna Macgregor
Head of Machine Learning - Strategy (Acting) & Lead, Responsible AI+ML
BBC
10:50AM - Day 1
View ON-DEMAND FIRESIDE CHAT: The What, Why and How of Responsible AI
11:30AM - Day 1
View Fireside Chat: The What, Why and How of Responsible AI
10:20AM - Day 1
View Combating fear of The Unknown – Building trust through explainability
Ilya Feige
Director of AI
Faculty
10:50AM - Day 1
View ON-DEMAND FIRESIDE CHAT: The What, Why and How of Responsible AI
11:30AM - Day 1
View Fireside Chat: The What, Why and How of Responsible AI
03:20PM - Day 1
View Making AI predictions more impactful
Fireside Chat: The What, Why and How of Responsible AI
- Artificial Intelligence is here to stay and is rapidly being adopted in virtually every domain – from healthcare to finance and public safety and entertainment, to name a few. However, most machine intelligence powered systems today are black-boxes that often function in oblique, invisible ways for developers, compliance staff, and regulators.
- This has led to increased business risks and ethical concerns about how AI may harm the most vulnerable.
- This session will discuss the importance of responsible AI through real-life Responsible AI use cases, with an overarching focus on accelerating adoption and impact of human-centric AI.
Moderator: . Manoj Saxena, Chairman, Responsible AI Institute
. Myrna Macgregor, Head of Machine Learning - Strategy (Acting) & Lead, Responsible AI+ML, BBC
. Ilya Feige, Director of AI, Faculty
12:00PM
(GMT)
×
Manoj Saxena
Chairman
Responsible AI Institute
12:00PM - Day 1
View Responsible AI is Profitable AI: Lessons from early adopters
Responsible AI is Profitable AI: Lessons from early adopters
- AI investments in the financial services sector are predicted to reach $22.6B annually by 2025, driven by AI’s ability to innovatively and cost-effectively meet customer demands, drive operational productivity, and develop new products.
- AI faces a regulatory challenge, with many systems going rogue and creating business risk and financial loss, effectively stalling future AI projects.
- In this session you will learn how Responsible AI Framework and Tools are being deployed by early adopters in banking and financial services to manage five new AI business risks, build customer trust, and achieve a competitive edge
. Manoj Saxena, Chairman, Responsible AI Institute
12:20PM
(GMT)
×
Nick Kotsis
Chief Data Scientist
Network Rail
12:50PM - Day 1
View Transforming the Business with AI
12:20PM - Day 1
View Transforming the Business with AI
Transforming the Business with AI
- Harnessing Multi-sensor Machine Learning
- Solving big problems with Operational AI
- Unbiased ML and Transparent AI
. Nick Kotsis, Chief Data Scientist, Network Rail
12:40PM
(GMT)
×
Data has gravity: Cognition as a Service on a distributed learning framework for performance, cost efficiency and privacy
- The commoditisation of machine learning and AI is shifting the supply and demand of resources and insights for organisations. Where teams of data scientists were once required to solve challenges, solutions can now be purchased on-demand as a service
- By abstracting away the complexity, Cognition as a Service (CaaS) disrupting the Data Science and AI market by making solutions accessible, on-demand, to all in a fast and cost-effective way.
- Industrialised machine learning and robust high-end pre-packaged solutions are moving the needle for big and small players that want to access AI and ML solutions
- The competitive advantage is gained through distributed learning frameworks to deliver improved performance and cost-efficiency, and address key privacy concerns
- Machine Learning solutions are moving from a tailored approach, where frameworks are built around companies, towards a faster and more scalable one, where frameworks are built around challenges
12:50PM
Networking Break
02:20PM
(GMT)
David Savage
Group Technology Evangelist
Harvey Nash Group | Tech Talks
09:30AM - Day 1
View AI for Enterprise: Chairperson’s Welcome
×
George Hancock
Head of Business Development
The Data Analysis Bureau
12:50PM - Day 1
View ON-DEMAND PANEL: Built to scale – Ramping up AI projects
02:20PM - Day 1
View Panel: Built to scale – Ramping up AI projects
Marcus Storm
Senior Technical Product Manager (AI)
Beamery
12:50PM - Day 1
View ON-DEMAND PANEL: Built to scale – Ramping up AI projects
02:20PM - Day 1
View Panel: Built to scale – Ramping up AI projects
Panel: Built to scale – Ramping up AI projects
- How to move your project from “experimentation” to “live”
- R&D budget signoff – understanding why you need AI
- Turning AI into ROI – what does value mean to your business?
- Top tips for moving your pilot to the next stage
Moderator: . David Savage, Group Technology Evangelist , Harvey Nash Group | Tech Talks
. George Hancock, Head of Business Development, The Data Analysis Bureau
. Marcus Storm, Senior Technical Product Manager (AI), Beamery
03:00PM
(GMT)
×
Regardt Jacobs
Senior Solution Engineer
BMC Software
11:20AM - Day 2
View ON-DEMAND PANEL: Making sense of your data
12:30PM - Day 1
View VIRTUAL PRESENTATION: How Orchestration Optimizes Value
02:20PM - Day 2
View Panel: Making sense of your data
03:00PM - Day 1
View How Orchestration Optimizes Value
How Orchestration Optimizes Value
- Big Data projects and Data Pipelines have merged into the technology fabric of every organization. The tools for building and running application workflows must be not only easily versionable and testable but they must also provide access to business and non-technical users.
- They must deliver the operational richness required to operate complex applications and deliver business services in accordance with service level commitments.
- In this talk Regardt Jacobs explains the need of production-ready application workflow orchestration for data-intensive applications and how automation, Big Data and IoT helped a leading vehicle manufacturer to cut fleet downtime.
. Regardt Jacobs, Senior Solution Engineer, BMC Software
03:30PM
(GMT)
×
Johan Hartikainen
Operational AI Expert
Peltarion
01:30PM - Day 1
View VIRTUAL PRESENTATION: Democratization of AI in your organisation
03:30PM - Day 1
View Democratization of AI in your organisation
Democratization of AI in your organisation
- Artificial Intelligence is becoming more mainstream and subsequently organisations are now increasingly investing and working with AI. However, most companies have trouble scaling their efforts and receiving satisfactory ROI. Peltarion offers a solution to this problem.
- With the Peltarion Platform, you can place the power of leveraging AI in the capable hands of employees throughout the organization. Thus, allowing you to scale your efforts and harvest the full potential of AI by allowing your domain experts to utilize state-of-the-art AI models to create value.
. Johan Hartikainen, Operational AI Expert, Peltarion
03:50PM
(GMT)
×
Dr. Yichuan Zhang
CEO
Boltzbit
12:00PM - Day 1
View VIRTUAL PRESENTATION: Beyond Narrow AI: Opportunities and Challenges in Building Generative AI Solutions
03:50PM - Day 1
View Beyond Narrow AI: Opportunities and Challenges in Building Generative AI Solutions
Beyond Narrow AI: Opportunities and Challenges in Building Generative AI Solutions
- Current mainstream AI in industry is Narrow AI, that can only learn one specific task by memorising a tremendous amount of labelled data. Narrow AI faces great challenges like high cost of data labelling, lack of explainability, poor support for multiple tasks and vulnerability to outliers in data.
- Generative AI, like GAN, GPT-3 and Alpha Go, attracts great attention as it shows deep neural networks can learn itself to generate high quality data superior to Narrow AI.
- This talk will give insights into recent trend of applied Generative AI in computer vision, natural language processing and automated planning.
. Dr. Yichuan Zhang, CEO, Boltzbit
