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Organizer
AI Sweden
Place
Online
Date
May 4 - 6, 2021

Agenda

Here is the agenda for AI Sweden Partner Days: Solving real-world problems.

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Tuesday 4 May, 8.30-10.30: Creating business value with AI


What is the connection between AI and business value? And how do we unleash its full potential? Looking at success cases, leadership strategy and organizational transformation, this session intends to give you the answers to these questions.


08.30 Introduction by Malin Larsson and Conny Svensson, AI Sweden

08.35 Presentations on how AI is transforming industries

Creating business value with AI - Find and engage experienced AI leadership talent
Christian Guttmann, TietoEVRY

How can AI shape future transport solutions?
Robert Valton, Volvo Group Connected Solutions

Humans, we have a problem - Adopting AI in organizations
Rebecca Cedering Ångström, Ericsson

09.10 Q&A: Why and how should you invest?

09.30 Case presentations on how applied AI creates business value

Personalized recommendations for millions of Lindex customers
Robert Nyqvist, Lindex
Josef Lindman Hörnlund, Modulai

AI revolutionizes the product launch process within the FMCG-industry
Simon Åkerlund, Binary Brains

Improved accuracy in inventory forecasts
David Fendrich, TenFifty

Process Optimization in manufacturing with AI
Martin Rugfelt, Sentian

Panel discussion with above speakers

10.25 Summary of Day 1: Creating business value with AI

 

Partner workshops

13.00 How to design a Data Factory and How to Make the most of it! Workshop with CGit (60 mins, meeting link below)

How do you optimize utilization? How do you decide who gets to use the valuable GPUs that your organization has invested in? What projects gets the most resources?
Scheduling, Orchestration and User Management are very important factors when you want to get the most possible efficiency and value out of a GPU-based infrastructure that is specialized for AI development. Simon Janeck will present, and demo, our new scheduler that is purpose-built for Deep Learning jobs in GPU-based environments: AiQu.

Click here to join the meeting

 

14:15 Individual, incremental learning at the edge - Workshop with Ekkono Solutions (60 min, register here)

So you say we need a lot of data? That we have to collect from thousands of devices, for years, to have statistical data, which will require a cloud platform to process all that data? We disagree! At least when it comes to leveraging the true potential of IoT – automation. Let us show you how you can get instant, real-time insights from learning the normal behaviour of an individual unit, to detect when something deviates. Individual, incremental learning at the edge enables personalized predictive maintenance, auto-installation, self-optimization and much more.
 
Join this 60 min deep dive into the state of the art technology “edge machine learning”. Jon Lindén and Linn Sidahl from Ekkono Solutions will give you an overview of the IoT and IIoT industry of today, from real, industrial use case experiences. Jan Bosch, Professor of Software Engineering at Chalmers University of Technology, will join the workshop and share his perspective on this and different and complementary approaches where edge + batch learning can be the first step to insights and validation of later conclusions.
 
This deep dive will focus on the benefits and opportunities of edge machine learning!

Join Ekkono workshop here

 

15.30 Keeping up with the Red Queen - Industrialising and transforming Data Science scope and scale. Workshop with HPE (45 min, register here)

In this presentation Doug Cacket, CTO at HPE EMEA, will look at why Data Science Transformation is so instrumental in any successful Digital Transformation journey, and how a combination of an “Enterprise Class” platform and composable tooling can be leveraged to drive productivity and deliver the outcomes you’re looking for with the skills you already have today.

Register here.

 

Wednesday 5 May, 8.30-10.30: The data revolution

The buzzword data has been on everyone’s lips for quite a while now - but how do we become truly data-driven? What is good quality data that can be used for sound AI solutions? And how can businesses, organizations and public actors share data to collaborate and learn from each other, not exist in silos? How do we become more data driven with the use of AI?

 

08.30 Introduction by Ebba Josefson Lindqvist and Johanna Bergman, AI Sweden

08.35 Presentations by speakers

The data revolution
Hillevi Anderkrans, Microsoft

Old meets new - challenges and opportunities
Jakob Englund, SCB

Legal aspects of federated learning
Linn Samuelsson, MAQS
Olof Mogren, RISE
Josefine Rembsgård, AI Sweden

Short break

09.30 Introduction by Ebba Josefson Lindqvist and Johanna Bergman, AI Sweden

09.35 Presentations by speakers

Enable collaboration when data cannot be shared - learnings from Region Halland
Markus Lingman, Region Halland

Smart City Stockholm - Multisensors and AI
Ann Louise Johansson, Qamcom
Ivan Stankovic, City of Stockholm

What is good-quality data?
Daniel Langkilde, Annotell

10.05 Panel discussion

Hillevi Anderkrans, Microsoft
Ann Louise Johansson, Qamcom
Jakob Englund, SCB

10.25 Summary of Day 2: The data revolution

 

Partner workshops

 

Get expert support on you AI project idea!

Meet Qamcom AI Experts one-on-one with no commitments, just an opportunity to get to know each other and for you to get some free advice. Maybe it could also be the start of a deeper engagement going forward. Bring your questions or project idea and let’s find out together! 

Slot 1: 10.30-11.30 Sign up here
Slot 2: 13.00-14.00 Sign up here
Slot 3: 14.15-15.15 Sign up here
Slot 4: 15.30-16.30 Sign up here

Limited spots available.

 

13.00 AiQu a new Scheduling and Orchestration tool for AI Workloads (60 mins, meeting link below)

Workshop with Simon Janeck – CGit/AIXIA

How do you decide who gets to use the valuable GPUs that your organization has invested in? What projects get the most resources? Scheduling, Orchestration and User Management are very important factors when you want to get the most possible efficiency and value out of a GPU-based infrastructure that is specialized for AI development. Simon Janeck will present, and demo, our new scheduler that is purpose-built for Deep Learning jobs in GPU-based environments: AiQu. Contrary to older, HPC-focused schedulers, AiQu is very easy to set up and use.

Click here to join the meeting

 

15.00 SnapXS a powerful tool to manage and create value from large amounts of data (60 mins, meeting link below)

Workshop with Yinan Yu – CGit/AIXIA

How can you find just the data you are looking for when there might be many Petabytes of it? What if rules and regulations demand that you anonymize certain data? Where do you store the data and how do you access them so that you can achieve these features without investing a huge amount of money in the infrastructure hardware, development, and maintenance? Yinan Yu will discuss these challenges and demo SnapXS, a tool that takes your data from the edge device to the web browser to deep learning training in an instant.

Click here to join the meeting

 

 

Thursday 6 May, 8.30-10.45: The era of algorithms

We are on the brink of a new era of algorithms - if not already there. The third day will tackle the challenges and opportunities that this brings, focusing on the models and algorithms behind AI solutions, the legal and ethical judgments that are increasingly called for, and showcasing concrete solutions that will take us into the next era. Edge AI, federated language models and much more will be on the agenda.

 

08.30 Introduction by Ebba Josefson Lindqvist and Johanna Bergman, AI Sweden

08.35 Presentations on decentralized and Edge AI

Is the future of AI decentralized?
Ather Gattami, AI Sweden

Machine Learning on the Edge at Scania
Juan Carlos Andresen, Scania

Edge lab Demo - Federated object detection using Baltic Seabird dataset
Mina Alibeigi, Zenseact
Sheetal Reddy, AI Sweden

09.20 Introduction by Magnus Sahlgren, RISE and Johanna Bergman, AI Sweden

09.25 Presentations on applied language technologies 

Identifying emergency calls at sea for Sjöfartsverket (Swedish Maritime Administration) via speech to text
Kristoffer Röshammar, Tenfifty

ML-based speech enhancement
Fredric Lindstrom, Google

09.55 Presentation on AI ethics

Swedish Sentiment - Fear, Violence and Ethics
Johan Larsson Hörkén and Fredrik Möller, Recorded Future

10.05 Panel discussion on AI ethics in practice

Evelina Anttila, Peltarion
Daniel Akenine, Microsoft
Recorded Future

10.25 Roadmap for applied AI in Sweden by Daniel Gillblad, AI Sweden

10.40 Summary of Day 3: The era of algorithms

 

Partner workshop

13.00 Federated machine learning workshop with Scaleout (Registration here)

This will be a 90 minute workshop that will walk through how to set up, run and deploy a federated learning project from scratch. The examples will use the same tools (FEDn and STACKn) as in the recently started federated learning project at Kungliga Biblioteket. The code is open source and the tutorials will be available afterwards for all attendees.

Register and read more here.

 

CANCELLED Why we need ML Ops: Minimize time spent on the boring parts and maximize the outcome! Workshop with HPE

Unfortunately this workshop is cancelled. In a few demos Johan Fondin, Solution Architect at HPE, will show you how our Ezmeral ML Ops platform supports your organization in automating and orchestrating the complexity of AI in production. Q&A sessions covering both this and monday session or any open questions. HPE and AI Sweden will have experts covering, infrastructure, data management, ML ops and other interesting topics for this open Q&A.



 

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