Amro Safadi
Chief AI Officer
zally

Aiden Bradwell
Senior Software Engineer
zally

SESSION OVERVIEW:  Online interactions differ wildly with little standardisation and even after jumping through the complexities to identify yourself, who’s behind the 7.4 billion mobile users is still largely unknown after a user signs in; zally will change this for good.

zally’s proprietary authentication system unlocks vast opportunities by enhancing security and user experience. Through developing our own Large Behavior Model (LBM), we can create an ever-evolving unique profile for users that goes beyond traditional point-in-time methods: no more passwords, Face ID or 2FA. Say hello to a future that’s zuper zeamless.

Join Amro Safadi and Aiden Bradwell in this tag team talk, as they discuss the technical challenges of identifying who is behind the device and how our LBM offers solutions to these problems.

Mark West
Head of cyber profession
Roke

SESSION OVERVIEW: How much should we trust what we read, see and hear online? Machine learning can create, alter and mimic all kinds of content. The tools to do this are increasingly available for everyone to use. They can be and are used for fun. But there are those who are more interested in using them to deceive us: to make money, to confuse or mislead us, even to influence democratic processes. A great way to defend against a bad use of technology is to better understand it and how it’s being used. So let’s explore what modern machine learning is capable of, what deepfakes are and how they are created as well as how they can be used to confuse and mislead us. We’ll look at how some uses of technology tap into how our brains work and exploit the biases that leave us open to being deceived – and consider some defences against the dark arts…

Michael Mgbame
Lead Data Analytics Consultant
Hankali Intel

SESSION OVERVIEW: This session will explore how AI and machine learning are revolutionizing healthcare by improving efficiencies and outcomes from research labs to patient bedsides. This session will highlight AI’s transformative impact in areas such as drug development, where it accelerates the discovery processes, and in diagnostics, where AI models provide faster and more accurate readings of medical imaging. The talk will also cover the use of AI in managing patient care, personalizing treatment plans based on predictive analytics, and monitoring patient health using wearable AI-driven devices. Ethical considerations, including data privacy and the implications of algorithmic decisions in clinical settings, will be thoroughly examined. Attendees will gain a holistic view of AI’s capacity to enhance healthcare delivery, backed by case studies and empirical data demonstrating its benefits and challenges.

Susan Engel
Principal Business Consultant
Zuhlke Engineering

SESSION OVERVIEW: What does it mean to be a ‘product-led organization’? What tangible differences could you expect to see? How can you begin this transformative journey?
Join us to gain insights on a ‘product-led organization’ and identify the key elements to drive product culture. We’ll dive into the concept of the ‘product trio’ and the continuous discovery model, providing tips on what you could trial in your organisation to start making a tangible impact. We’ll also explore the emerging trends that are poised to shape and impact product development.
– Learn what ‘product led organisation’ means, and benefits of the approach
– explore examples of applying ‘product thinking’ to external and internal products
– explore the ‘product trio’ and continuous discovery model
– Practical examples of things you can trial in your organisation
– Trends that will shape the future of product development in near future and how to incorporate them in your strategies to stay ahead of the curve.

Erik Bamberg
Principal Software Engineer/Architect

SESSION OVERVIEW: What comes after ChatGPT? Vector database projects like Weaviate, Pinecone, and Chroma recently got millions of dollars of funding for their projects. But what are vector databases? And why will they be so important in the future?
Let us see how Vector Databases can help you define and run your machine learning business use cases. We will explore some real-world use cases and try to understand the potential of vectors and vector databases.
Not exactly sure what a vector is ? No worries, you will learn everything you need about vectors .
A brief hands-on demonstration just using open source will give you an idea, of how to use the new generation of databases in praxis.
We will also cover how vector databases can work together with chatGPT and helps you to overcome some limitations of chatGPT.

Matt Ballantine
Engagement Manager
Equal Experts

SESSION OVERVIEW: The human brain has an amazing ability to spot patterns in random data. It’s an evolutionary legacy that enabled us to survive. and a power that can help teams look at problems through new lenses and find ways to solve problems that would otherwise remain undiscovered.

In this workshop, participants will be led through some of the theories behind apophenia and then get to try out a few techniques that can help unblock creative thinking in teams at any stage of developing software products.

The first part of this workshop will provide participants with a crash course in the theory behind apophenia.

From there, participants will get to try out three distinct techniques:

– visual metaphor – to help explore new perspectives
– “The Creativator” – for idea generation
– tarot for business – how the mechanics of tarot card reading can be brought into an organisational context to help tell stories and solve problems from new perspectives.

Dawson Silkenat
Data Engineer
Zuhlke Engineering

Tabitha Day
Data Engineer
Zuhlke Engineering

SESSION OVERVIEW: AI models play increasingly critical roles in decision-making across industries. However, biased AI systems can amplify unfair treatment of citizen groups. Addressing this issue is crucial for fairer outcomes. We introduce Zuhlke’s Bias Framework, which provides a comprehensive view of bias and uncertainty of AI outcomes.

Our Bias Framework allows developers to test many sources of bias to understand their impacts. It evaluates bias and performance with interactive visualisations, guiding users to find good solutions. This tool facilitates transparent and auditable decision-making and helps businesses access previously excluded markets and produce more ethical outcomes.

By promoting repeatable processes to complement manual checklists, our framework sets a new standard in ethical AI development. Join us to explore how our approach can help businesses achieve fairness and transparency in AI decision-making, fostering a more equitable future.

Brendan Buckingham
Business Development Leader, Data Fabric and AI
IBM

SESSION OVERVIEW:

In this session, we delve into IBM’s open approach to AI, focusing on the significance of Granite Models in the Enterprise landscape. We explore how these models can be customised using an organisation’s unique data, enabling more accurate and efficient AI solutions. Moreover, we discuss how the data or output from these models becomes the company’s intellectual property, safeguarding their competitive edge in the market.