RPA

16 - 18 June, 2020 | Berlin

Focus Day: Intelligent Data

8:30 am - 10:00 am CODE ME RIGHT: INTELLIGENT DATA PREPARATION FLOW

So, you‘ve got your AI strategy, your Automation talent; you‘ve got your department and they‘ve got a great proof of concept. What‘s next? Companies now spend 80% of their time on preparing data, getting it ready for algorithms to mull over it. You can cut costs significantly by putting a process in place for how to prepare your data and how to deal with parallel data.

• How to structure your data science projects as part of your AI strategy
• Creating a Data Preparation Flow that follows your Business Goals
• Integrating your departmental processes and your Data Flow

10:00 am - 10:30 am Registration and welcome coffee or tea

10:30 am - 10:45 am Welcome introduction by Program Director

10:45 am - 11:15 am Opening remarks by the summit chairperson

11:00 am - 11:30 am Data Readiness for Automated Machine Learning (AutoML) : A Smart Way to Combat Unstructured Data

-AutoML for the Automation of End-to-End Business Processes
-The Current and Future State of AutoML and Solution Providers
-Get Your Data Ready for AutoML

11:30 am - 12:00 pm Speed Networking

Maximize who you meet. Get to know other conference attendees right from the start. Exchange business cards, ideas, and propositions in record time.

12:00 pm - 12:30 pm RPA technology as a key enabler for Data Science initiatives

  • Structural setup - It is all about the right mix of capabilities:
  • RPA & automation technology as part of Data Science & Data Engineering Unit @Oetker Digital
  • RPA technology can be used to migrate data from various data sources to a centralized one (Data Lake)
  • Combining RPA technology with Python’s Machine Learning capabilities for intelligent insight generation

12:30 pm - 2:00 pm Networking luncheon

Interactive Discussion Groups

Table 1

2:00 pm - 3:00 pm Automation journey mishaps – what we’ve learnt

Table 2

2:00 pm - 3:00 pm Data Governance - how to streamline your Data preparation flow

Table 3

2:00 pm - 3:00 pm Data Infrastructure for Machine Learning Programmes

3:00 pm - 3:30 pm Big Picture Afternoon 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 healthcare

3:30 pm - 4:00 pm Evening Panel Discussion | Excuse the disruption – intelligent data to transform the business

• Reskill vs. upskill – Get the balance right
• From brain to paper and from machine to human – systematic knowledge transfer

4:00 pm - 4:30 pm Refreshments and Networking

Deep Dives

4:30 pm - 5:30 pm THE KEY STEPS TO SET UP AN AUTOMATION CoE

Nancy Sachdeva - RPA CoE Lead, Uniper
• 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
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Nancy Sachdeva

RPA CoE Lead
Uniper

4:30 pm - 5:30 pm KNOWLEDGE MANAGEMENT FOR AI

Production Scale Data Engineering & ML
·   Building robust machine learning pipelines at scale      
·   Data curation, management and warehousing - from raw events to structured databases
·         Implementing a standardized conceptual framework to process model-consumable data at scale
·         Deploying high performance, reliable models for real-time production systems

4:30 pm - 5:30 pm 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

5:30 pm - 5:45 pm Closing remarks by the chairperson

5:45 pm - 6:15 pm End of focus day & Evening get-together

Join our evening get-together and take this opportunity to network and make new business contacts. Or join to relax and round out your focus day.