Building An Enterprise Platform

12:10pm

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Session Overview

Nowadays businesses need to be able to analyse their data effectively to be at the forefront. It is essential to have a strong, cost-optimised analytical setup with data access to enable data domain experts to focus on doing what they are best at, namely to bring value out of data.

Learn about Novo Nordisk’s analytical platform and how it is used to bring value out of data efficiently to cater to our business needs. Our data persons can on-demand spin up collaborative analytical compute environments in preferred region, with selected compute power that integrates seamlessly with their in-house data sources. This enables them to focus on their business cases without having to worry about configuring, managing, and setting up their computing environment. Our platform has been used to develop a deep learning algorithm in our inspection lines, proactive monitoring solutions on types of machinery that enable increased throughput in our production lines, etc.

Session Key Takeaways:

  • Discover to AWS to to build an on-demand analytical compute environment in the cloud
  • Learn how the cloud can be used to speed up analytics and save costs simultaneously?
  • How Novo Nordisk’s enterprise analytics platform has acted as an enabler for different business cases

This session is for you if…you have a growing business and you want to use data to drive the business decisions. With a growing number of employees and stakeholders it becomes more critical to have centralised teams focusing on building re-usable customised environment that can be spun up on-demand integrating data for cost savings. It prevents repetitive work across different areas and reduces additional complexity for people working with data, enabling management to act quickly to business needs.

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  • Akhila Vanguard

    Adyen

Uncover the transformative power of AI in fintech: Gain a deep understanding of how vast amount of data can be used to solve problems, enhance decision making processes, improve merchant experience and streamline internal operations. In addition, take a peek into real world applications/examples of AI in the fintech domain and understand the challenges and ethical considerations associated with AI adoption in Fintech.

This session brings to you an overview of the transformative potential of AI in the financial technology sector. Digitisation is everywhere in financial services – this makes available vast amounts of data – paving way for both challenges and opportunities. This session will delve into harnessing this potential of data to develop fintech solutions as a one stop shop by integrating AI technologies across different sectors of financial services – banking, payments, risk assessment, credit risk and anti money laundering efforts at scale.

Session Key Takeaways:

  • The power of data and AI in the fintech landscape, i.e. how AI is revolutionising the current industry at a fast pace
  • the attendees will also gain an insight into how the solutions are implemented at scale
  • the challenges faced by the different players in the industry, both in banking and technology

This session is for you if…

  • You are a fintech professional working in payments, risk, banking, compliance this will give you a chance to look at a real life example of AI being leveraged in the industry
  • You are a data scientist/AI practitioner, the talk will gloss over the different technologies being implemented and researched at adyen
  • It is also meant for technology or fintech enthusiasts who want to know what the industry is up to
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