Day 1

1 June 2017

09:30AM

Chairpersons Welcome

Francesc Balada

Data Scientist

Vienna Data Science Group

Associated Talks:

09:30AM - Day 1

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. Francesc Balada, Data Scientist, Vienna Data Science Group

09:45AM

An Introduction to AI in the Enterprise

Aditya Kaul

Research Director

Tractica

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  • What are the key use cases for AI and which industry sectors will experience the most revenue growth over the next 10 years
  • Which key AI technologies and combinations of technologies will gain the most market traction
  • How will AI software deployments drive sales of hardware and professional services
  • How will the market opportunity for AI vary by world region
  • What will be the key drivers of AI adoption in each industry and technology category
. Aditya Kaul, Research Director , Tractica

10:15AM

Keynote panel: The Application of Artificial Intelligence in the Enterprise

Aditya Kaul

Research Director

Tractica

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Claudio Weck

Head of Data Science

MHP – A Porsche Company

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Georg Wittenburg

Co-founder / CEO

Inspirient

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Hans Uszkoreit

Scientific Director

German Research Center for Artificial Intelligence (DFKI)

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  • How are large companies deploying machine learning & business intelligence
  • Is your organisation ready for machine learning?
  • How will machine intelligence impact business & society
  • Challenges and opportunities for investing in AI
  • How will AI redefine management strategies & make your business smarter

 

Moderator: . Aditya Kaul, Research Director , Tractica
. Claudio Weck, Head of Data Science, MHP – A Porsche Company
. Georg Wittenburg, Co-founder / CEO , Inspirient
. Peter Schlecht, CEO & Founder , The SaaS Co.
. Hans Uszkoreit, Scientific Director, German Research Center for Artificial Intelligence (DFKI)

11:00AM

Networking Break

11:30AM

Connecting Deep Learning with Internet-of-Things

Claudio Weck

Head of Data Science

MHP – A Porsche Company

Associated Talks:

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  • A.I. Research & Pre-Development at MHP and Porsche Digital Lab Berlin
  • Why and when to move from Predictive Analytics to Deep Learning?
  • Artificial Intelligence @ Real-Life Use Cases in Industry 4.0
  • A.I. Platforms-as-a-Service for Internet-of-Things
  • Building Data Science Teams and the Research Lab Mode
  • Our Future and Responsibility with Artificial Intelligence
. Claudio Weck, Head of Data Science, MHP – A Porsche Company

12:00PM

Voice-Enable All the Things with Amazon Alexa

Max Amordeluso

EU Alexa Skills Kit

Amazon

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Alexa, the voice service that powers Amazon Echo, enables users to interact with devices in a more intuitive way using voice. Developers and device makers can build engaging voice experiences for their services and devices with the Alexa Skills Kit and the Alexa Voice Service. Learn how developers are leveraging Alexa to reinvent experiences from finding a recipe for dinner to connecting the smart home to building voice capabilities into connected cars.

. Max Amordeluso, EU Alexa Skills Kit, Amazon

12:30PM

Deploying AI Applications in Enterprises: Challenges and Lessons Learnt

Dr. Anand Rao

Partner, Global AI Lead

PwC Data & Analytics

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Artificial Intelligence as a field of study has existed over 60 years, but has been receiving widespread publicity and attention in recent years. While there have been a number of deployments of AI in natural language processing, machine learning, deep learning, conversational interfaces, etc. in the consumer domain, enterprise applications of AI have been fewer and still in their infancy.

In this talk, we focus on specific applications of AI related to modeling disruptive scenarios, understanding sales best practices, predictive maintenance using sensors, and a variety of other enterprise and industrial applications of AI. These applications employ some of the latest advances in machine learning, deep learning, natural language processing and generation, multi-agent systems, simulation, and reinforcement learning. We outline some of the challenges of enterprise and industrial applications and draw lessons from our deployments on how to address them. We conclude with a view towards the future of AI and the need to build ‘trust and transparency’ into the AI applications that we deploy to automate or augment human decision making.

. Dr. Anand Rao, Partner, Global AI Lead, PwC Data & Analytics

01:00PM

Networking Lunch

02:00PM

Keynote – Building Trust in AI – The standards and regulation

Lord Tim Clement-Jones

.

HM Government

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Building Trust in AI – The standards and regulation

  •              How will AI impact on the transformation of society
  •              Creating frameworks that permit innovation of social value.
  •              Examining the sharing revolution – privacy laws, personal consent, transparency fairness and accountability.
. Lord Tim Clement-Jones, ., HM Government

02:30PM

Panel: Big Data – Creating Intelligent Data Models

Dr. Aljoscha Burchardt

Lab Manager

DFKI GmbH

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Marco Szeidenleder

Managing Partner

Pandata

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Dr. Andreas Braun

Global Data & Analytics

Allianz SE

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Geert Meulenbelt

Chief Customer Officer

Saagie

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Alun Jones

Data Scientist

Konecranes

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  • The increased need for big data analytics to drive AI & Machine learning
  • How to successfully unlock unstructured data & transform into learnable features
  • The advancement of self-service big data tools & its benefit for your organisation
Moderator: . Dr. Aljoscha Burchardt, Lab Manager, DFKI GmbH
. Marco Szeidenleder, Managing Partner, Pandata
. Dr. Andreas Braun, Global Data & Analytics , Allianz SE
. Geert Meulenbelt, Chief Customer Officer, Saagie
. Alun Jones, Data Scientist, Konecranes

03:15PM

From deep learning to cognitive reasoning – a look at the strengths and weaknesses of different approaches to machine learning

  • How do we distinguish between AI hype & reality?
  • What are the strengths and weaknesses of different approaches to machine learning and their relationship to cognitive reasoning.
  • What are the limitations of deep learning fueled by big data and what other approaches my be better suited
  •  How can machine learning  be applied to make sense of data, and turn intent into real-time coordinated control of behaviour.
  • Exam new approaches to cognition based upon a fusion of ideas from Linked Data, Computational Linguistics and Cognitive Science to enable cognitive agents, that think more like we do, with applications to human-machine collaboration in a broad range of domains.
. Dr. Dave Raggett, Fellow, W3C

03:45PM

Networking Break

04:00PM

AI and computer vision: cameras that see like humans

Vassilis Tsagaris

Co-Founder & CEO

Irida Labs

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. Vassilis Tsagaris, Co-Founder & CEO, Irida Labs

04:15PM

AI Development & Platforms

Nicolas Aurelien

CTO

Deckard

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Steve Emecz

CCO

collectAI

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  • Understanding the importance of AI & how they make systems smarter
  • Building cognitive applications in the cloud with open source data
  • How to utilize cloud-based systems for complex computing
. Nicolas Aurelien, CTO, Deckard
. Steve Emecz, CCO, collectAI

04:35PM

AI Start-ups – The hot AI Start-ups for 2017

Terence Hielscher

Founder & MD

MoBerries

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Raphael Vullierme

CEO & Co-founder

LUKO

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Martin Karlsson

Co-Founder & CEO

Lateral

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. Terence Hielscher, Founder & MD, MoBerries
. Raphael Vullierme, CEO & Co-founder, LUKO
. Martin Karlsson, Co-Founder & CEO, Lateral

05:00PM

Meet up – Berlin Machine Learning Group

Nikolaj Waller

Technische Universität Berlin

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Valerio Velardo

CEO and Co-founder

Melodrive

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Dimitry Demin

Founder

algotecture

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Christian Rebernik

CEO

6voices

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Petar Djekic

Co-Founder & CEO

Cerebel

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Pitch 1 – 3D Object Classification via Deep Learning and its Application to Detection tasks.

With advances in Deep Learning object recognition in 2D achieves results which can even outperform humans. In the domain of 3D however there is still need for further research. For this purpose, the goal of my work is to present a classification network trained exclusively on 3D data. Furthermore, not only the task of object classification, but also detection from 3D scenes will be discussed.

Pitch 2 – How AI changes Product Discovery in Fashion E-Commerce

The advent of mobile and AI enables fashion brands to provide consumers new ways of discovering fashion online. Using Cerebel’s search technology brands can build engaging and intuitive search experiences for their apps and destinations, empowering consumers to express their personal style and taste using visual references and natural language descriptions.

Pitch 3 – The rise of voice platform

  • Voice is becoming mainstream – Why now?
  • How voice platforms work?
  • Applied use cases and the future of voice

Pitch 4 – Algotecture – the creator of sophisticated algorithms

With $4trillion in global annual revenue, the AEC industry is ripe for disruption from AI. At Algotecture we create sophisticated machine learning algorithms that will propel the industry forward. Our algorithms represent a paradigm shift from manual coding systems to intelligent designing systems that will help developers and BIM managers to better design, collaborate and automate the entire construction process.

Pitch 5 – Melodrive: Adaptive Music Generation for Interactive Media

Adaptive music is the most effective means to increase immersion in games and VR experiences. However, creating a truly adaptive experience is difficult and time-consuming. Melodrive is an AI music system that can automatically generate adaptive soundtracks, which respond dynamically to players’ interactions in real-time. In our pitch, we describe the challenges of building a creative AI and present the business opportunities.

. Nikolaj Waller, , Technische Universität Berlin
. Valerio Velardo, CEO and Co-founder, Melodrive
. Dimitry Demin, Founder, algotecture
. Christian Rebernik, CEO, 6voices
. Petar Djekic, Co-Founder & CEO, Cerebel

06:00PM

Session end

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