Data Leaders Summit Europe 2019

23 - 24 October, 2019

Hotel Palace, Berlin

+44 (0) 207 368 9850

Prasenjeet Bhattacharya, Lead Data Scientist - Multi Asset at NN Investment Partners
NN Investment Partners Logo

Prasenjeet Bhattacharya

Lead Data Scientist - Multi Asset
NN Investment Partners

Check out the incredible speaker line-up to see who will be joining Prasenjeet.

Download The Latest Agenda

Day 1 - Wednesday 23rd October 2019

Wednesday, October 23rd, 2019

9:35 AM Panel Discussion - Overcoming black box analytics: How can you build explainable AI in-house to increase trust with transparent data models and secure board backing to further automate the enterprise?

  • How can you ensure that your Advanced Analytics / AI models are solving the business problems you need solved?
  • Ensuring ethical AI: What is the best approach to integrating a strong code of data practice across the enterprise to ensure ethical and proficient advanced analytics?
  • Building a reliable ethics framework: What are the technical tools and techniques required to address the privacy and security concerns surrounding increased automation to ensure responsible AI applications?
  • Building a code of ethics: How to equip your data teams with ethical guidelines to counteract inherent bias in algorithm development and build fair data models that enable unbiased business decision making
  • Setting governance standards: How can we increase collaboration across the data science community to build an official ethics framework to ensure responsible design and application of AI?

Day 2 - Thursday 24th October 2019

Thursday, October 24th, 2019

3:55 PM Panel Revolution - Developing data science for social good: What initiatives can we launch within the data science community to positively impact wider society with key insights?

  • How can current data leaders increase partnerships with academia to nurture the next generation of data scientists?
  • How can we increase collaboration and data sharing across the data science community to support different sectors and fuel economic growth?
  • Assessing the top trends driving change in the future data science landscape and how they can be leveraged by global societies; Exploring robotics, block chain and service automation