Day 1 - 1 July 2020
Enterprise AI: Chair’s Welcome and opening comments
Keynote: AI Powering Digital Transformation
- Is your organization ready for AI and digital transformation?
- Why should you embrace AI?
- How to unleash your data’s full potential with AI and the Data Fabric
- Edge, Core and Cloud – Building seamless data pipelines
Dr. N. R. Srinivasa Raghavan
Chief Data Scientist, Data and Analytics
Head of IT Sector
Invest Northern Ireland
03:20PM - Day 2
Panel: Driving Digital Transformation through AI & Deep Learning
• What are the fundamental buildings blocks needed for build a digital organisation using AI, ML & DL in terms of people, skills and tech?
• Discussing the role of other companies within the process, from start-ups to big ticket providers.
• Examining digital transformation from both industrial and business information perspectives.
• Real life examples of successful transformations from across Enterprise.
Timothy de Jong
The Future Impact of AI on Cyber Crime
With machines fighting machines and increasingly sophisticated human attackers, we are now entering a new era of cyber-threats. The battle is no longer at the perimeter but inside of our organizations, and no security team can keep up with its speed. Cyber-attackers are quickly becoming silent and stealthy, and cyber defense has turned into an arms race.
This new wave of cyber-threats has seen skilled attackers that may lie low for weeks or months. By the time they take definitive steps, their actions blend in with the everyday hum of network activity. These attacks call for a change in the way we protect our most critical assets.
Self-learning and self-defending systems are now being deployed to continually assess business environments. Known as ‘immune system’ defense, this approach is used to uncover threats that have already penetrated the network border, and then automatically fight back. Unlike legacy approaches, which rely on rules or signatures, these technologies work autonomously, enable the security team to focus on high-value tasks, and can counter even fast-moving, automated attackers.
Head of DataLabs
Scaling AI in the Enterprise
Fairness in machine learning – including deep learning – is a very complex concept that does not have a single solution. At the heart of the issue is Ethics and challenges in the training datasets – which humans has been trying to figure out since the beginning of civilization. There are several challenges, as Fairness considerations apply to human decision-making too. Most uncertain situations can be solved on a case-by-case basis. This will not work ‘at scale’ for algorithmic decision-making. Discrimination happens even when nobody is evil!, as ML is very good at picking up unintended proxies in the data. This session will examine the latest research and approaches with some concrete know how as a result of our work in the area to support all our ML products at Experian. As an example Insight of this session, one thing is to detect a biased algorithm which with the right methodology and approach can be done in many cases but a very different one is to fix them – which in certain cases is extremely complex.
As Head of the Datalabs, Javier oversees innovation with emphasis on development of new products and services across all business units in UK&I and EMEA. Pioneering application of artificial intelligence in mobile, voice, fraud, credit, marketing, social media, digital advertising and healthcare. He came from WPP, where he spent 7 years: two as Kantar ( WPP) Global CTO, leading the strategy of the global technology function and focusing on the new generation of market research platforms.He also spent 5 years in GroupM (WPP), as the EMEA Chief Information Officer (CIO). He was part of the Xaxis Global Technology Board. Javier has more than 26 years’ experience globally within the Finance, AI, Market Research, Media and Technology fields including serving as Global Chief Technology Officer at Havas Media. Prior to joining HavasMedia, Javier was an Executive consultant for the largest Media companies in the world within Accenture’s London Media & Entertainment practice for nearly 10 years.
Head of Applied Sciences, Business Integration
Lloyds Banking Group
12:20PM - Day 1
Cracking the code: Safely scaling AI across the Enterprise
The time for simple experimentation with AI is over. Companies have started to capture small gains from a few use cases. But the goal of achieving AI at scale is still elusive. Abhijit Akerkar will share snippets from his work as well as his insights from around the industry on cracking the code.
- Prioritising the strategic areas
- Building the right foundations in data, design, and technologies for industrial-scale delivery
- Conquering the last mile by embedding AI into decision-making processes
- Taking all the stakeholders along – customers, employees, shareholders, and regulators
Transparent and accountable AI
Artificial intelligence (AI) models can become so complex that we no longer understand how they interpret the input data and why particular decisions were reached. This leads to unintended biases and undermines the trust of both companies and customers. AI expert Evert Haasdijk explains the importance of transparent AI, and discusses methods to handle black box models.
Sr. Sales Manager – Automotive & Datacenter, NVIDIA EMEA
AI- Accelerating the race to autonomous cars and transportation systems
For many years car-makers, tier1’s, mobility providers, universities and other organizations have been working on developing driver assistance systems and self-driving cars. Conventional computer vision used for ADAS is reaching its threshold because it is impossible to write code for every possible scenario as a vehicle navigates. In order to develop software for various levels of autonomy and ultimately the autonomous car, deep learning and artificial intelligence are required. With deep learning, the vehicle can be trained to have super-human levels of perception, driving safer than anyone on the road. This presentation will show what it takes to develop an end-to-end artificial intelligence platform from collecting and labelling data, to AI training, simulation and validation.
Senior Principal Architect – Manufacturing & High-Tech
How Enterprise Customers are adopting technologies like IOT, Cloud and Big Data
Chief Executive Officer
04:10PM - Day 1
Keynote: Driving with no blind spots
A phrase commonly heard but rarely followed, this talk explores the value of data-driven decision making. You will learn about the methodology by which a firm survived amidst the big sharks by relying on a predictive model of operational excellence. Tackle the known unknowns of infusing data into corporate culture and turning strategic decisions into tactical actions. The principles of Moneyball extend beyond the baseball field.
Panel: Driving value from Enterprise AI
• What AI is and isn’t and how it is of use to business
• Examples of AI systems beyond machine learning and common errors made trying to extract value from AI systems
• A look at modern development practices and tools with examples of real life projects
• Rules for success in determining which projects to address and avoiding failure
• Building a stellar team and retaining talent
Day 2 - 2 July 2020
Enterprise AI Day 2: Chair’s Welcome and opening comments
Principal Product Manager
Keynote: BMC Helix: The Future of Service is Cognitive
Service Management is being transformed by technologies like artificial intelligence (AI), machine learning (ML), chatbots, virtual agents and Internet of things (IoT). These technologies are driving dramatic changes to enterprises. Savvy business leaders are jumping in headfirst and applying AI and ML to solve real business challenges. Join us for an in-depth discussion about these advances in technologies and what they mean to the future of Service Management.
You will learn how organizations such as George Washington University are digitally transforming and what you can expect as you make key decisions to shape your organization’s future.
Panel: AI in retail and ecommerce
• How are retailers using AI? A look at applications for delivery, payments, CRM, product content management.
• Using AI to deliver outstanding customer service and customer retention
• Customer recommendations
02:10PM - Day 1
AI, ML and Data for the future factory
By changing the parading of how to implement Machine Learning and data analytics in the real manufacturing world, we can revolutionize the way we can imagine and realize the future factory.
We can create new products, improve the quality of existing manufacturing process, understanding correlations between variables in the manufacturing process and put them in relation with the related final products, lowering the waste, creating better sustainability and last but not least save jobs. In short words the capability to change the way of how to implement AI into the manufacturing enterprise using a new edge approach will permit to create a better world.
Panel: Harnessing the powers of chatbots for business
- How internal chatbots are improving employee engagement changing the way we work
- Integrating chatbots into your sales and marketing funnel
- Using chatbots to drive customer loyalty and increase retention rates
- Chatbots for lead generation and personalisation
Customer Engineering Manager
03:15PM - Day 1
12:40PM - Day 2
The emerging of rich customer insights from raw data to Intelligent Customer Assistants
The era of Intelligent Digital Assistants is shaping new consumer behaviours, allowing them to get things done quickly and more efficiently. IDAs are today part of the daily routine of consumers and the expectation set by them is now reflected in the interaction that consumers expect to have with companies. As organisations rethink their business models and their interaction with consumers, data is at the core of these interactions. On this talk we will explore how organisations are taking already taking advantage of their data and creating new rich customer experiences.
Director Enterprise Solutions, EMEA
Afternoon Keynote: How Machine Learning & External Data is Enabling Data-Driven Corporate Decision-Making
The internet has changed the way we make decisions. However, the way executives make decisions has remained surprisingly unchanged. Every day, competitors are leaving behind online breadcrumbs filled with valuable external data – from hiring a new employee to filing a new patent, launching a new product, online ad spend, and social media. Consumers and companies are producing online content at an unprecedented rate, creating a treasure trove of consumer insights and competitive intelligence. Today, thanks to AI and machine learning, we have the ability to monitor external forces in real time. As a result, the role of a business leader looks very different than it did in the past. Drawing on practical examples of transformative, data-led decisions made by leading global brands, Peter Heurling will illustrate the future of corporate decision-making and offer a detailed plan for business leaders to implement this thinking into their company mindset and processes.
City of Amsterdam
A case about how we use ai to distribute 250.000 service calls of residents to right agent improving customer satisfaction dramatically
Dr. John O’Shea
World-Wide Smart Intelligent Solutions Leader
03:10PM - Day 2
Digital Transformation with Artificial Intelligence
To follow soon…