4 2019 th FOCUS DAY: DATA EXCELLENCE | 04 JUNE 2019 10:00 Registration and welcome tea or coffee Who is Who | Discover who else is participating in the conference. The match making picture wall will help you identify who is who for your business needs. In cooperation with 10:30 Welcome introduction by Program Director 10:45 Opening remarks by the summit chairperson DATA READINESS: HOW TO DEAL WITH UNSTRUCTURED DATA 11:00 Next Level Data Wrangling - Disrupting your organisation’s information flow • Data Warehouses vs. Data Lakes • AI predictive analytics • Scaling and maximising backoffice processes with smart automation Han Xiao, Senior Research Scientist, Tencent 11:30 Speed Networking | Maximise your networking outcome at this event by participating in these fast-paced 1-to-1 meetings. Get to know the other attendees and exchange your business cards. 12:00 AI or RPA : When to use which while attacking banking problems? • Best practices of AI and RPA within ING Turkey • When to use which solution and possible to use together? Fırat Akçoray, Head of AI & Robotics, ING 12:30 Networking luncheon 14:00 Interactive Discussion Groups | Peer-led informal discussions in small groups, focused on specific challenges and solutions. You can open up and enquire about actual lessons learnt in an intimate setting without press. Table 1 | The RPA and AI Roadmap – How does my Data Readiness affect my journey? Anna Alechno, Continuous Improvement Manager, IKEA Table 2 | Data Governance - how to streamline your Data preparation flow Mark Wilson, Data Governance, Handelsbanken UK Table 3 | Where are the data treasure troves? Data Lake Sourcing Sergii Khomenko, Head of Data Platform, Stylight INTELLIGENT TALENTS 15:00 Use Case: strategic workforce planning for the future AI-Workforce • Finding and hiring scarce ML & AI talents • How to utilise Machine Learning for HR Purposes • Incremental online learning for talent development Semih Kumluk, Senior Data Scientist and AI Responsible, Turkcell 15:30 Industry-ready data & machine learning pipelines Alejandro Saucedo, Chief Scientist, Institute for AI & Machine Learning 16:00 Refreshments and Networking 16:30 Evening Keynote | Increasing the AI footprint in the organisation • How to cooperate with IT to deliver a shared responsibility roadmap • Restructuring your ML and AI teams and interdepartmental workflow for high impact Sébastien Foucaud, VP Data Science, XING 17:00 Evening Panel Discussion | Excuse the disruption – intelligent data to transform the business • How to unlock unstructured data and gain learnable insights • Intelligent Data infrastructure • Intelligent workforce: embedding data quality management at all levels of the organisation Anil Bhavnani, Director BPO and Digital Transformation, Pfizer Fırat Akçoray, Head of AI & Robotics, ING Mark Wilson, Data Governance, Handelsbanken UK RAGE AGAINST THE MACHINE - DATA PREPARATION FOR THE WHOLE ORGANISATION Rarely does a project fail or a process lose money because a manager let his team chose the wrong algorithm. But rather the real issue are messy data sets, unclear objectives and asking the wrong questions from your data scientists or no questions at all. Learn how to interact with your AI department in a meaningful way by going beyond the heavy marketing pitch of your solution provider - go back to basics: set a clear strategy for your team and give the necessary support for large scale transformations: • How to set effective objectives for data scientists • Quick wins and fast rollout Sebastién Foucaud, VP Data Science, Xing 08:30 - 10:00 A www.asdevents.com - www.asdevents.com/event.asp?id=20318
Transcript
4
2019
th FOCUS DAY: DATA EXCELLENCE | 04 JUNE 2019
10:00 Registration and welcome tea or coffee
Who is Who | Discover who else is participating in the conference. The match making picture wall will help you identify who is who for your business needs. In cooperation with
10:30 Welcome introduction by Program Director
10:45 Opening remarks by the summit chairperson
DATA READINESS: HOW TO DEAL WITH UNSTRUCTURED DATA
11:00 Next Level Data Wrangling - Disrupting your organisation’s information flow• Data Warehouses vs. Data Lakes• AI predictive analytics• Scaling and maximising backoffice processes with smart automationHan Xiao, Senior Research Scientist, Tencent
11:30 Speed Networking | Maximise your networking outcome at this event by participating in these fast-paced 1-to-1 meetings. Get to know the other attendees and exchange your business
cards.
12:00 AI or RPA : When to use which while attacking banking problems?• Best practices of AI and RPA within ING Turkey• When to use which solution and possible to use together?Fırat Akçoray, Head of AI & Robotics, ING
12:30 Networking luncheon
14:00 Interactive Discussion Groups | Peer-led informal discussions in small groups, focused on specific challenges and solutions. You can open up and enquire about actual lessons learnt in an intimate setting without press.
Table 1 | The RPA and AI Roadmap – How does my Data Readiness affect my journey?Anna Alechno, Continuous Improvement Manager, IKEA
Table 2 | Data Governance - how to streamline your Data preparation flowMark Wilson, Data Governance, Handelsbanken UK
Table 3 | Where are the data treasure troves? Data Lake SourcingSergii Khomenko, Head of Data Platform, Stylight
INTELLIGENT TALENTS
15:00 Use Case: strategic workforce planning for the future AI-Workforce• Finding and hiring scarce ML & AI talents• How to utilise Machine Learning for HR Purposes• Incremental online learning for talent developmentSemih Kumluk, Senior Data Scientist and AI Responsible, Turkcell
15:30 Industry-ready data & machine learning pipelinesAlejandro Saucedo, Chief Scientist, Institute for AI & Machine Learning
16:00 Refreshments and Networking
16:30 Evening Keynote | Increasing the AI footprint in the organisation• How to cooperate with IT to deliver a shared responsibility roadmap• Restructuring your ML and AI teams and interdepartmental workflow for high impactSébastien Foucaud, VP Data Science, XING
17:00 Evening Panel Discussion | Excuse the disruption – intelligent data to transform the business• How to unlock unstructured data and gain learnable insights• Intelligent Data infrastructure• Intelligent workforce: embedding data quality management at all levels
of the organisationAnil Bhavnani, Director BPO and Digital Transformation, PfizerFırat Akçoray, Head of AI & Robotics, INGMark Wilson, Data Governance, Handelsbanken UK
RAGE AGAINST THE MACHINE - DATA PREPARATION FOR THE WHOLE ORGANISATION
Rarely does a project fail or a process lose money because a manager let his team chose the wrong algorithm. But rather the real issue are messy data sets, unclear objectives and asking the wrong questions from your data scientists or no questions at all.Learn how to interact with your AI department in a meaningful way by going beyond the heavy marketing pitch of your solution provider - go back to basics: set a clear strategy for your team and give the necessary support for large scale transformations:
• How to set effective objectives for data scientists• Quick wins and fast rollout
• Data curation and standardising data as a precursor for RPA
• Gathering data along your process definition • Combining lean management with Bots• Data management tools for RPA
Steven van den Berg, VP Business Design, Uniper
KNOWLEDGE MANAGEMENT FOR AI
• Align business and IT to deliver a shared responsibility roadmap and drive performance
• Restructuring your ML and AI teams and interdepartmental workflow for high impact
• Data lake vs. Data curation• Data management tools for AI
Arkosnato Neogy, Data Scientist, Booking.com
DIGITAL TRANSFORMATION FOR THE EFFECTIVE DATA ORGANISATION
• How to utilise Machine Learning for HR Purposes• Incremental online learning for talent development• Supervised vs. Unsupervised learning• Increasing the data footprint in your organisation
Emidia Martins, Robotic Program Manager, Solvay
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FOCUS DAY: DATA EXCELLENCE | 04 JUNE 2019
17:30 Deep Dives | Deepen your knowledge depending on your area of interest
18:30 Closing remarks by the chairperson
18:45 End of focus day & evening get-together | Join our evening get-together and take this opportunity to network and make new business contacts.
Who is Who | Discover who else is participating in the conference. The match making picture wall will help you identify who is who for your business needs. In cooperation with
09:00 Welcome introduction by Program Director
09:15 Opening remarks by the summit chairperson
AUTOMATION EVERYWHERE - HOW TO HANDLE COMPLEXITY ISSUE
09:30 Big Picture Keynote: Intelligence – Are machines learning from us or humans from machines?• Basics of neural networks and automation approaches• How AI will change the future of healthcareDr. Nupur Kohli, Director, NIIS Health, Global Shaper - World Economic Forum, Forbes 30 under 30
10:00 Match and Meet | Maximize who you meet. Get to know other conference attendees right from the start. Exchange business cards, ideas, and propositions in record time.
10:30 Live Demo | Happiness is a warm Bot• Live presentation of a Happy Flow Process Mining tool• Methodology explained and tested• Getting the most potential out of your scaleable RPANina van Krimpen, Performance Optimization, AkzoNobel
11:30 Refreshments and Networking
12:00 F*ck Up Session | Real lessons learnt from real life screw ups. Avoid making the same mistakes as your peers by learning from their mistakes.Anna Alechno, Continuous Improvement Manager, IKEAWojciech Tatys, Transformation & Ops Excellence Lead, Discover Inc.
12:30 Round Table Session | Peer-led informal discussions in small groups, focused on specific challenges and solutions. You can open up and enquire about actual lessons learnt in an intimate setting without press.Table 1| Automation delivery life cycle – 5 phasesAnil Bhavnani, Director BPO and Digital Transformation, PfizerTable 2 | How to build & operate omni-channel digital assistants at scaleNikolas Barth, Head of Innovation & Digitalization, SiemensTable 3 | Data recognition and data cleanup technologiesSemih Kumluk, Senior Data Scientist and AI Responsible,TurkcellTable 4 | The Challenges - Transition from RPA to Intelligent AutomationMatthias Reichle, Intelligent Automation Lead, Avanade
13:30 Networking Luncheon
FROM RPA TO COGNITIVE - THE AUTOMATION JOURNEY
15:00 Live Demo | Program your own prosthetic limb• Machine Learning application examples• Live interactive demo with volunteersGyörgy Lévay, Biomedical Research Engineer, Infinite Biomedical Technologies
16:00 Afternoon keynote: Building an effective organisation for Data & Analytics and theimplementation of a showcase• Typical challenges in shaping an organisation for Data & Analytics and a solution approach based on UBS‘s Center of Excellence (CoE)• Case study of Conversational Banking – application of CoE guidelines and roadmap to use of natural language interfacesLukasz Opoka, Head of Digital Banking Innovation and Development, Executive Director, UBSMichel Neuhaus, Head of Analytics Enhanced Distribution, UBS
18:30 Closing remarks by each stream’s chairperson.
18:45 Evening get-together | Join our evening get-together and take this opportunity to network and make new business contacts. Or just relax and round out your first day.
ADVANCED AUTOMATION
17:10 Panel Discussion | Transition from RPA to SPASumeet Pathak, Director Smart Automation, Societe GeneraleJosef Litt, Director Digital & Innovation, BMI Group
17:30 Cost reduction in vehicle maintenance through RPA• Controlling vehicle information with software bots• Daily KPIs for quick disruption relief on the
moving materialMarc Bouvier, Leiter Social Collaboration, DB Systel GmbHTobias Brömel, Projektleiter, DB Regio AG
18:00 Round Table Session | Peer-led informal discussions in small groups focused on specific challenges and solutions. You can open up and enquire about actual lessons learnt in an intimate setting without press.
Table 1 | How to implement stable automation in a continuous improvement environmentMaria Salvatore, Director Finance, BMI Group
Table 2 | Increased vehicle availability through RPA at Deutsche BahnMarc Bouvier, Leiter Social Collaboration, DB Systel GmbHTobias Brömel, Projektleiter, DB Regio AG
AUTOMATION IN FINANCE
17:10 Need for Speed: Accelerating your Automation Journey more information to follow
17:40 Model and data lifecycle at scale; Measuring performance for time-series models and NLP systems• Scaling out model building and model monitoring
on the cloud• Accepting or rejecting new models in production systemsErlend Aune, Director of Data Science, Exabel
18:00 Workshop | Build-A-Bot• Live demonstration and How-to-Guide • Easy and fun: Build your own Bot from scratch
INTELLIGENT AUTOMATION & AI
17:10 Use Case: Automising manual processes with NLP – moving past the prototyping phase • The business impact of NLP within
pharmaceutical development • Ensuring availability and collection of data across
the organization• How to make a seamless user experience with NLPLars Lynne Hansen, Senior Data Scientist, Digital Transformation, Novo Nordisk
17:40 Round Table Session | Peer-led informal discussions in small groups focused on specific challenges and solutions. You can open up and enquire about actual lessons learnt in an intimate setting without press.
Table 1 | Process Mapping and how to avoid automating tasks instead of processesMarco Preis, Corporate Accounting Processes and Projects
Table 2 | From conversational bots to conversational AIPeter Barber, Director, Allstate Northern Ireland
10:00 Morning keynote | Combining different technologies like RPA and NLP for an advanced orchestration platform• Chatbot assistant in action• Translation API for communication between platformsRene Konings, Program Manager Group Strategy and Architecture, Credit Suisse
10:45 C-level Panel Discussion | How to handle the complexity of a global intelligent automation initiative• How granular do bot business cases still make sense?• Leveraging volume and ease of automation vs. investment and maintenance cost• The risks and rewards of AI/ML labs/teams/competence centresMarcus Schomakers, CIO, CarrefourThorsten Staby, CTO, Nestlé
11:15 Refreshments and Networking
11:45 Hackathon Machine Learning: Statistics on Steroids• Live ML algorithm coding with concrete business examples
12:45 With AI to paperless processes• Intelligent text recognition (OCR/ICR) based on our travel expenses app• Potential of smart automation with business support and how to get there Birgit Lichtenstein, Head of Performance Management, Head of Digital@Finance, Innogy SE
13:15 Networking Luncheon
INTELLIGENCE EVERYWHERE – AUTOMATION EXPERTS LET YOU IN ON THEIR SECRETS
14:45 Afternoon Keynote | Setting up an RPA CoE & Scaling it at BMW GroupBjörn Weber, RPA CoE Lead, BMW Group
CONFERENCE DAY TWO | 06 JUNE 2019
ADVANCED AUTOMATION15:40 Interview | Next Level Accounting - Hybrid models
for intelligent automation• Which backend processes to automate• Virtual assistants• Automatic reportingNadin Kraus, Senior Director Finance Innovation, Ratiopharm
16:10 WS | Intelligent text recognition: Our travel expenses App Xpense2Cash and further use cases inspired by itMachine Learning - thanks to more powerfulprocessors and innovation in neural networks – there aremore and more applicable results for everyday businessprocesses. Innogy is capturing that potential i.a. for itsemployees’ travel expenses. Learn more about intelligenttext recognition and various use cases in Finance, Tax and HR.Kai-Peter Menck, AI Solution Lead, Digital@Finance &Tom Stulla, Cognitive Automation Expert, Digital@Finance, innogy SE
RPA DEPLOYMENT & SCALING15:40 Innovation and Transformation at Credit Suisse
– a C-suite case for Intelligent Automation• Time to market competitive edge• Highest efficiency through optimal bot-count• Smart solutions for dumb scripts: Cognitive RPARene Konings, Program Manager Group Strategy and Architecture, Credit Suisse
16:10 Panel Discussion | Peer review - pilot projects lessons learnt• The do‘s and don‘ts • Going from pilot to scale• Work methodology: agile vs. classic methodsAnna Alechno, Group Shared Services Continuous
in small groups focused on specific challenges and solutions. You can open up and enquire about actual lessons learnt in an intimate setting without press.
Table 1 | Facial expressions data collection and ethical implicationsDmitriy Kostyaev, Head of Machine Learning, Magic UnicornTable 2 | Minimizing exception queues with layeredcognitive approachUtpal Chakraborty, Head of Artificial Intelligence, YES BANKTable 3 | Women in Tech Market Growth HackYesika Aguilera, CMO, Forbes 30 under 30, Tespack
16:40 Use Case: Automising manual processes with NLP– moving past the prototyping phase• The business impact of NLP within pharmaceutical
development• Ensuring availability and collection of data across
the organization• How to make a seamless user experience with NLPLars Lynne Hansen, Senior Data Scientist, Digital
Transformation, Novo Nordisk
STREAM A STREAM B STREAM C
15:30 STREAMS | Choose your stream and further your knowledge. Brief introduction by each stream’s chairperson.
17:30 Panel Discussion | Complexity with scaling up and why RPA fails to lift off• Personalisation vs. automation• Individualisation vs. Automation• Agile CRMVartul Mittal, Assistant Vice President - LEAN, RPA & Advanced Analytics; BarclaysVerena Weber, Data Scientist, Oetker Digital
18:00 Workshop | Build-A-Bot• Live demonstration and How-to-Guide • Easy and Fun: Build your own Bot from scratch
17:30 Process Mining as an enabler for more effective RPA applicationMartin Reible, Senior Analyst Analytics and Process
Optimization, Oetker Digital
18:00 Use Case: Scaling Up done right• From 0 to 35 bots in 4 months• It‘s not about how many bots you have but what they do Sanna Koivu, Project Co-Ordinator, Neste
18:30 Round Table Session | Peer-led informal discussions in small groups, focused on specific challenges and solutions. You can open up and enquire about actual lessons learnt in an intimate setting without press.Table 1 | Scaling done right – from 0 to 35 bots inless than 4 monthsSanna Koivu, Project Co-Ordinator, NesteTable 2 | Mid-sized companies – generating value without scale?Caritta Seppä, COO, Tespack
17:30 Use Case: Applications of facial expression recognition and emotional privacy• Cutting edge image translation methods and its applications• Putting and removing makeup with image translation
neural network in end-to-end fashion• Pitfalls and future directions in image translationDmitriy Kostyaev, Head of Machine Learning, Magic Unicorn
18:00 WorkshopGet the Latest Trends and Proven Growth Hacking Tools for the 21st Century (Based on the toolsutilised on the Best Energy Startup in Europe, awarded by the European Commission)Yesika Aguilera, CMO, Forbes 30 under 30, Tespack
17:00 Refreshments and Networking
19:00 Closing remarks by each stream’s chairperson.
19:15 End of day two
″Good organized mixture of discussion, presentations, and networking. We have gained all the information we need about RPA.″– OSRAM
11:00 Refreshments and Networking 11:00 Refreshments and Networking
STREAM A | RPA DEPLOYED RIGHT
ENTERPRISE LEVEL AUTOMATION – TOO COMPLEX TO BOTHER?
• Machine learning insights to structure your business• Managing organizational change for a successful knowledge and work transfer from employee to bot• Global platform vs. multi-provider strategy• Integration and interface design of vendor solutions
Vartul Mittal, Technology & Innovation Specialist (formerly) IBM, Kotak Mahindra Bank, Coca Cola
15:30 End of Workshop Day
STREAM B | SMART AUTOMATION
14:00 -
15:30
F
SCALING RPA IN A BIG WAY
• Reconsidering the operational deployment of bots• Stakeholder development – unlocking scaling potential based on stakeholder
feedback• Automated process discovery and analysis
Dmitry Popov, Global Service Management Lead, Mann+Hummel
09:30 -
11:00
B NEXT LEVEL RPA – COGNITIVE RPA
• Unlock the potential of previously unused data• Pattern monitoring• Increase the digital footprint in your company for even more efficiency
Trung Nguyen, Senior Data Scientist, MSD, (formerly BASF)
09:30 -
11:00
C
AI BOOTCAMP – MACHINE LEARNING: STATISTICS ON STEROIDS
Some are just starting but don’t know how to get started, some have started but didn’t get results quick enough, while others have started and are looking for new ideas. We will cover it all in this hands on workshop. Expect to come out with a new sense of intelligent automation direction
• Gain valuable insight of a proven intelligent automation methodology• Learn about how to avoid potential obstacles that can derail your intelligent
automation programme
Utpal Chakraborty, Head of artificial intelligence, yes bank
11:30 -
13:00
ELIFECYCLE MAINTENANCE FOR BOTS
• Interface design for updateable/interchangeable automation solutions• Consolidation and integration of existing ERP, BPM and other IT systems• How to integrate updates or new acquisitions into existing architecture
Expert moderator from Siemens to be announced soon
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