Event Recording

Dr. Danish Rafique: Path to AI Production - A Strategy for Value Creation

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Speaker
Dr. Danish Rafique
Head of Digitalization & Data Analysis
Bayer AG
Dr. Danish Rafique
Dr. Danish Rafique is currently working as a Head of Digitalization and Data Analytics at Bayer. He has 10+ years of corporate experience in several countries, where he has led, built and deployed digital products across industries, including telecom, manufacturing and automotive sectors. Danish...
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Playlist
cybernetix.world 2020
Event Recording
Prof. Dr. Christoph von der Malsburg: AI Beyond Deep Learning
Dec 03, 2020

So far, AI relies totally on human intelligence, in the form of human-written programs in classical AI or the human-provided sample data of deep learning.  The pursuit of AI over the last five decades has been caught within a fixed conceptual framework. Given the current level of tremendous attention, investment, technological infrastructure and application potential, maybe we are just a simple fundamental change in perspective away from a tremendous technological explosion.

Event Recording
Devesh Raj: Machine Learning System Design: A Different World
Dec 10, 2020
Event Recording
Francesco Stasi: AI-Driven Insights From Historical Customer and Employee Conversations: The Next Frontier for Data-Driven Businesses
Dec 03, 2020
Event Recording
Sina Brandstetter: Implementing AI Ethics @ Bosch
Dec 03, 2020
Event Recording
Marisa Monteiro Borsboom: Essay on Leadership Blindness on AI and Its Impact on the Digital and Human Transformation - Do We Know What We Need to Know?
Dec 03, 2020
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Pauli Isoaho: AI in the Things, Logistics & Mobility Ecosystem: Overcoming current Challenges on the Road to Smart Mobility
Dec 16, 2020
Event Recording
Martin Kuppinger: Where AI, Industrial IoT, Consumer IoT, Blockchain, Decentralized Identity, and Edge Computing Meet
Dec 03, 2020

Cybernetix Is What Makes Things Move, From Production to Modern 5G Based Public Infrastructures

Cybernetix is not a new discipline. However, it appears being more important than ever before. It is ubiquitous when it comes to AI (Artificial Intelligence). And when AI meets industrial IoT (Internet of Things) and OT (Operational Technology) , it is about the cybernetic model. In contrast to past times, it is about hundreds of signals per second per thing, device, and machine, which needs to be processed and used for optimization. No way doing so without AI.

When looking at public infrastructures such as the ones making connected vehicles drive without (too many, too severe) accidents, when it comes to smart services (cities, utilities,…), it all is about immense amounts of signals that need to be delivered (5G) and stored (blockchains and beyond, e.g. IOTA), and processed (AI again).

All with security in mind, in the context of users and their settings, their consent, their preferences.

Fast and efficient, without too much of latency.

Cybernetix brings together all these technical evolutions that are discussed today.

In his talk, Martin Kuppinger will look at how all this is connected and why we need taking a broader perspective, beyond single innovations, towards what makes the modern world move: Cybernetix.

Event Recording
Joris Krijger: Operationalizing AI Ethics
Dec 16, 2020
Event Recording
Peter Voss: The Third Wave of AI
Dec 03, 2020
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R. Buse Cetin, Tania Duarte: Building Trust in AI: How Pictures can Speak Louder than Words
Dec 16, 2020

As the buzz around Artificial Intelligence has increased, so have the issues around trust. There is an increasing polarisation in the discourse around AI, ADS and automation. So what can you do as a tech leader or employee in a company utilising tech, to build trust? Or much more to the point, what can you do to become trustworthy?

An important step is to communicate honestly with your customers and stakeholders about the technology you use. However too often organisations fall at the first hurdle due to the damaging visual misrepresentations of AI that accompany their written communications, promotional material or media coverage. This session investigates the way that organisations and the media represent AI through images, and what this says about what they and customers expect and understand about the benefits of technology. We look at how this exposes the broader implications of anthropomorphising technology, and how to deal with describing the role of humans and human agency in your solutions.

As well as exploring how public perceptions of AI will shape the risks and opportunities faced by your organisation, you will leave this session with some practical suggestions on earning and building trust in your AI solutions, and helping to imagine a more positive AI future.

Event Recording
Priti Padhy: Next Wave AI Transformation with Explainable AI
Dec 03, 2020

Over the last year, an unprecedented scale of digital transformation has resulted in exponential growth of organisational data, which could impact decision making. Using machine learning approaches to mine and reason through masses of data is ineffective. In this session you will learn that while the first wave of AI involved many narrow applications, the next wave will help generate a dynamic understanding of relationships and patterns in a corpus of information. This understanding primarily happens through explainable AI.  It will become a key part of enterprise digital transformation initiatives that fundamentally change how organizations make sense of real-world information.