Agenda

Presentations will be in English or Dutch, slides will be in English.

08.45 - 09.30 Welcome & coffee

team-image

Keynote: Every Industrial Revolution has created new jobs. So will the emergence of AI.

09.30 – 10.00

 

After the wide spread panic about AI, now come new insights. AI is not the apocalyptic force we once made it out to be. In fact, AI is still in a rudimentary stage in its development. However, AI is already eradicating old jobs and creating new ones. How can we, as a society, prepare for new jobs such as data trainer, data engineer and AI translator? You’ll discover it in this keynote.

team-image

Keynote: Make artificial intelligence work for your business
10.00 – 10.30

The AI Barometer survey shows that out of 124 companies in Flanders, 76% has no in-house AI/ML expertise.
The companies that have an AI strategy and expertise in place, will expand this even more. Will the winner take it all?
Added value, enabled by AI, can be found on an operational level, but also on a product or service level. To start up AI initiatives, you must treat them as an innovation process, with a continuous trade-off against technology, business and stakeholders’ value criteria. Different profiles will be necessary to make it successful. More insights will be provided during this keynote.

team-image

Keynote: Data science applications in business
10.30 – 11.00

During his keynote, Robin will focus on how data science can make a difference for businesses. He will discuss some interesting applications of data science, such as process optimization in warehousing, automatic quality controls in mass production lines and solar panel detection. He will also elaborate thoroughly on fraud detection in retail banking.

11.00 - 11.30 Coffee break & networking

AI for Business

Pure AI

team-image

Getting your data in a ready state for AI
11.30 – 11.55

Thomas helps businesses meet AI by architecting the right platforms and designing data-driven products. Together with the Analytics & Insights team of LoQutus he has delivered big data platforms and modern data apps supported by machine learning for companies like Mastercard, Arcelor Mittal and the department of Foreign Affairs. In his session Thomas will share insights on how to get your data in a ready state for AI, with lessons learned and examples from recent projects.

team-image

Running AI on the edge
11.30 – 11.55

AI is increasingly being implemented on-device instead of in the cloud. What is edge computing/edge AI, why should we care and how to benefit from it? Expect an in-dept explanation, possible technical solutions and use cases to the current edge computing trend in the AI landscape.

team-image

Impact topline growth and customer experience with AI: a case study
12.00 – 12.25

In this session, we will go through a case study of a large consumer goods company that is implementing AI to boost topline revenue and customer experience. We will present the approach of the proof-of-concept, the results and finish off with practical advice on how to tackle and sell AI use cases internally in your company.

team-image

How self-learning systems are disrupting your industry
12.00 – 12.25

From customer support to cancer detection to energy consumption optimization: everywhere, industries are being disrupted by Machine Learning, forcing large companies to reinvent themselves or be swallowed by the wave of AI-first start-ups & other enterprises. Through several success stories, Maarten will show how large companies can benefit from this wave by collaborating with experts in the field of AI.

team-image

More than a buzzword: Using Machine Learning to reduce administrative workloads
12.30 – 12.55

Machine Learning (ML) is a booming buzzword. But, what’s the real value? You probably recognize the situation, you’re in the doctor’s office, waiting while the doctor writes everything down. What if ML could recognize the symptoms, the severity and could put this in the right spot within the electronic patient file, in just one click? Not science fiction, an actual project that’s happening right now. Using this example of ML in real life, Enno will explain and inspire how ML and speech recognition could benefit organizations in many different verticals.

team-image

What you need to know to get the most out of a Chatbot
12.30 – 12.55

According to many researchers, Artificial Intelligence will be used in 85% of customer contacts in 2020, but today it is still a challenge for many organizations to fully understand what they need and what it will bring them. And what do all those terms, such as NLP and Machine Learning, mean? And why is that important? And what abilities should employees have to get it to work properly? And why does one solution cost a fraction of the other?

12.55 - 13.45 Lunch break & networking

AI for Business

Pure AI

team-image

To be announced
13.45 – 14.10

team-image

Predicting people flows in the airport for better operations and happier passengers
13.45 – 14.10

Predicting how people move around an airport is a hard task. In this talk, we will show you how to take your innovative ideas all the way from the early proof of concept stage to production systems that improve your customers’ experience and reduce your operational expenses. As a case study, we will show you how we applied this process at a Belgian international airport

team-image
team-image

Optimize decision taking from a financial point of view
14.15 – 14.40

Don’t expect a super technical presentation. We will show, by means of a practical case, how we used technology to make about 1.000.000 better decisions.

 

Tim and Koen are colleagues at Teal Partners. They both have a software development background and are driven by developing products and services that can have a fundamental impact on an organization, sector or market. In addition, they share a passion for the Teal management principles. A caring culture based on trust and transparency makes them thrive.

team-image

Auditablility & traceablility of AI
14.15 – 14.40

Companies increasingly rely on AI for their decision making, client relations, as well as for automation of their processes. This raises a number of questions about governance and accountability for the models providing these solutions. Indeed, who will be responsible for the results produced by a machine? What are the implications for data privacy? And ultimately, what will AI mean in terms of regulation and auditing?

team-image

Delivering a best-in-class personalised video product without a Netflix sized data team
14.45 – 15.10

In spring 2019 DPG Media released their new video platform VTM GO. This product contains an inventory of hundreds of programs from VTM, Q2, Vitaya and CAZ combined with an offering of online exclusive content. In order to make sure that all user easily find the content most relevant to them, the product offers a fully personalised frontpage with video recommendations, surfacing the content that best matches a users individual taste. Currently we are serving over 100.000 unique front pages to our users on a daily basis. In this talk I will take you through how we got this project off the ground, building an in house best-in-class Recommendation Engine that significantly boosts our video and user KPIs and how we decide which features to build in a world where industry leaders employ data science teams that outnumber us by factors of 50-100.

team-image

Deploying machine learning solutions – lessons learnt
14.45 – 15.10

Ken has the hands-on experience to kick-start and execute our complex projects. For several years, he has worked in banking on the trading floor, and afterwards as a freelance modeller and a researcher in academia. With his background in physics engineering, he loves to build upon state-of-the-art machine learning in real-life applications.

team-image

The legal challenges of AI
15.15 – 15.40

Bart Van den Brande will tackle the legal challenges that AI faces. Artificial Intelligence is probably the most promising and at the same time disruptive technological evolution since the beginning of the internet.
And while AI will no doubt improve our lives and make our world more efficient and more productive, it brings with it a series of legal challenges.
Without diving into too much legal small print, Bart will give an overview of attention points that need to be addressed in order for AI to fit within the existing legal framework.
Bart will discuss the question of liability for AI systems, the legal personhood of AI systems, the difficult balance between AI and GDPR, the question of authorship and ownership over AI and over the output of AI systems as well as the role AI can play in the field of contracting, in combination with blockchain technology and smart contracts.

team-image

AI the Holy Grail for marketeers? First, get your basics right!
15.15 – 15.40

AI, self-learning systems, advanced statistics, data science, etc… In recent years, we’ve been hit almost every day with the latest high-tech innovations. But do these actually bring profit?
We expect a lot from these innovations but first you must get your basics right. If your data architecture is not right, you‘ll be left in the dark. Or you risk investing a lot without any return of investment.
Firstly, marketeers need to have a clear vision of what they want to achieve. Only when your strategy is clear, AI can do miracles in reducing the mass of information in order to use it in the right way.
Stratics will explain on the basis of concrete case studies how a well-considered and data-driven marketing strategy is the first step towards a successful implementation of AI technology.

15.40 - 16.00 Break & networking

team-image

Keynote: Instilling Data Literacy throughout Organizations
16.00 – 16.30

The nature of work today requires continuous learning and the ability to respond appropriately to new information – including an increasing abundance of data. This applies to organizations and workers alike. In response to this new reality, employees and job seekers are aligning with employment goals by adopting new skills. Working has essentially become an ongoing learning process. And in recent years, data literacy has emerged as a key indicator of organizational readiness.

team-image

Keynote: Supply Chain Meets Analytics
16.30 – 17.00

In this keynote, Davy will discuss the impact Analytics can have in a supply chain context. The opportunities created by analytics technology throughout the entire logistics process are highlighted. He will then zoom in on three applications in the port of Antwerp: terminal operations optimization, next mode of transport prediction and resource planning optimization.