Envisioning A Flourishing Future With Innovative Technology

4:45pm

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Session Overview

Dive into the world of breakthrough technologies and innovative concepts reshaping business and organisational structures. This session invites you to expand your perspective, unlocking your power to architect a future that is equitable and prosperous for all.

We will collectively envision a future where challenges become catalysts for innovation, using the collective imagination and the synergy of brilliant minds with a shared vision.

In this fast-paced technological and business landscape, our presentation will offer practical ways to integrate pioneering advancements into your organisations. We will also focus on the evolving nature of leadership and provide insights to lead your teams in this uncertain and exciting future.

Our goal is to create a technologically advanced future that is also socially responsible and sustainable. Every decision we make impacts the future – and we aim to make those impacts positive and inclusive.

Session Key Takeaways:

  • Understanding pioneering technologies and concepts transforming the business landscape.
  • Discovering essential leadership skills and mindsets for the future, such as creative thinking, resilience, and agility.
  • Learning how to leverage technology for creativity and innovation.

This session is for you if…you’re a tech guru, emerging leader, or a professional passionate about an equitable future, this session promises a wealth of information and insights to help shape your organisation and the future of technology.

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  • Premium Only
  • Skills
  • Eliza Casapopol

    Data & AI Specialist

    Microsoft

  • Tanuja Bhamidipati

    AI Cloud Solution Architect

    Microsoft

This talk will delve into the exciting realm of Artificial Intelligence (AI) and its role in catalysing business innovation, with a particular focus on the alliance between Microsoft and OpenAI. As an emerging technology, generative AI holds significant potential to revolutionise various sectors, yet its practical deployment remains an area of exploration for many businesses.

Session Key Takeaways:

  • Understanding the concept of generative AI and acknowledging its limitations
  • Identifying significant use-cases where generative AI can boost corporate performance and competitiveness
  • Debunking common myths and discussing challenges associated with generative AI
  • Participants can expect valuable insights on leading the corporate world in the AI era, practical applications of generative AI, and inspiring instances from other businesses

This session is for you if.. you are a Business Decision Maker, Technical Decision Maker, and anyone seeking to infuse their business operations with the power of AI. Sponsorship opportunities are available.

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1:45pm
Workshop

Cloud Skills: Demystifying Google BigQuery

60 mins
  • Track - Workshop
  • Data
  • Premium Only
  • Ilona van de Bildt

    Head of Big Data & Analytics Consultants Central Europe

    Google Cloud

For non-practitioners, understanding BigQuery from a practitioners standpoint will help you understand the possibilities of, and the potential requirements you may need when selecting a DWH solution and a future proof data strategy. It also helps you find your way when you want to start using MachineLearning in your company in an easy and accessible manner. If you would have to pick only one Google Cloud tool to learn more about, then BigQuery should be it.

BigQuery is at the heart of Google Cloud’s Data solutions. If you are looking to understand what Google Cloud’s data solutions are all about, starting to understand BigQuery is a key skill to set you up for success.

BigQuery is a data warehouse solution which you can use for the analysis of (both small and big) data, but also to set up Machine Learning models quickly and easily. It is suitable for any user, no matter if your business is small or big.

This is a foundational level workshop for BigQuery, and includes a hands-on lab that sets you up for using BigQuery and move to using BigQuery ML afterwards.

Prerequisites: for the practical part of this session you need a laptop and an active Google account you can sign in with.

Session Key Takeaways:

  • Why BigQuery is key in your data strategy
  • How to use BigQuery
  • What BQML helps you do and how to get started

This session is for you if…

  • You want to know more about Google Cloud
  • You want to understand the strategic importance of BigQuery
  • You are looking for a data warehouse solution that is secure, fast, accessible and cost-efficient
  • You are looking to become a practitioner in BigQuery
  • If you want to get started with Machine Learning in an easy way
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1:40pm
Presentation

Building An Enterprise Platform

30 mins
  • Track - InfoTech
  • Data
  • Gudrun Anna Atladottir

    Senior Cloud Developer

    Novo Nordisk

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 how AWS 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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1:45pm
Workshop

What Does A Robust AI Ethics Framework Look Like?

60 mins
  • Track - Workshop
  • Data
  • Premium Only
  • Clara Higuera

    Lead Data Scientist

    BBVA AI Factory

AI is currently being applied in almost every sector of our lives such as healthcare, education, entertainment, transport and finance to name a few. However as use has risen, so has awareness of potential for bias, discrimination and other types of harms. AI systems also mediate social perceptions and interactions and have environmental and climate consequences. Given the pervasive impacts of AI systems, it is no surprise that the field of AI ethics has gained force in recent years.

The ethical aspects of AI are studied and debated in diverse fields including philosophy, social science, computer science, and engineering with each field contributing distinct viewpoints and practices. Integrating humanistic and technical perspectives has proved challenging. But AI systems are sociotechnical, meaning there are complex interdependencies between their ‘social’ and ‘technical’ aspects throughout their lifecycle. Interdisciplinary approaches are the only way forward.

In this session, a data scientist and an anthropologist specialising in AI ethics reflect on the challenges of putting AI ethics into action, the tools currently available for organisations to align their principles and practices, and examples of cutting-edge approaches to ethical and responsible AI being used in industry.

We draw on our different experiences and backgrounds to shed light on the complex and crucial challenge of developing ethical AI for more inclusive and equitable futures.

In the session we will discuss with the audience the different challenges of bringing AI ethics into practice and open a debate about why we need AI ethics integrated in the development cycle of AI now more than ever after the recently released large language models like ChatGPT.

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11:35am
Presentation

Applying Data-Driven Decisions Across Team Roles

30 mins
  • Track - FinTech
  • Data
  • Premium Only
  • Natalia Beliaeva

    Frontend Software Engineer

    Adyen

In the fast-paced technology industry, staying ahead of the competition is crucial. Understanding the importance of data-driven decision-making can significantly impact the quality of decisions made during the product development process. Implementing data-driven strategies gives organisations an edge by enabling them to quickly adapt to market changes and customer needs.

Gone are the days when a developer was just sitting behind a desk in a dark room and coding day in and day out. Same about product managers, designers, analysts – everyone wanted to stay isolated doing their own job. Now each role is a lot more. They have to continuously contribute in strategic thinking, take part in OKR/KPIs, and continuously think about adding value to business. There’s a lot going on and you are thinking “Leave me alone and let me code/write/draw in peace”.

Worry not, in this session, we will explore how data helps in shaping decisions across various product development processes. We will discuss its importance and share examples on how data has replaced personal assumptions, and benefited developers.

Session Key Takeaways:

  • Discover the importance of leveraging data over personal biases and opinions
  • Learn about tools and approaches for different team roles to make data-driven decisions
  • Dive into real-world examples showcasing Adyen teams utilising various data dimensions

This session is for you if…

  • You want to know how to use data-driven approach in different roles in a product team
  • You are curious about Adyen and want to get some insights into how we work/think
Find Out More
11:30am
Workshop

When Data Becomes A Product

60 mins
  • Track - Workshop
  • Data
  • Premium Only
  • Ludmila von Thun-Hohenstein

    Senior Sales Engineer

    Snowflake

As data is seen more and more as a product we need to focus on the data supply chain, how we create higher revenue, gain competitive advantages and mitigate risks. A central point to this is collaboration, which encapsulates everything from the production lines from raw data to end data product. With real time collaboration you are not only speeding things up, you also lower costs and are more efficient which goes as far as being better for the environment.

Come spend some time to better understand how easy it can be to collaborate when data becomes a product. Data does not need to be your background for this interactive session to benefit your daily activities!

This session is hands on. You will need to bring a laptop.

Session Key Takeaways:

  • Learn how to take part in the Data Supply Chain
  • Explore keys to access a wide range of data products in real time
  • Discover how to mobilise the world’s data

This session is for you if…you are interested in the data supply chain and what is already possible.

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11:35am
Presentation

AI Everywhere: Leveraging Data For A Unified Fintech Solution

30 mins
  • Track - FinTech
  • Data
  • Transformation
  • Akhila Vangara

    Data Scientist

    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
  • 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
Find Out More
4:45pm
Presentation

Revolutionise Your Workday: Unleashing The Power Of Low-Code/No-Code Automation!

30 mins
  • Track - Implement
  • Career
  • Data
  • Workforce
  • Eden Ihamouine

    IT Global Purchasing Intern

    Danone

Today, studies shows that 76% of workers spend 1-3 hours a day in data entry and tasks that a robot could be doing for them. What if you were able to use those 1-3 hours to your core job functions ? That’s the bet we made ! Thanks to our learning on automation, we are now able to earn time and productivity. We will share with you our journey through daily tasks automation and our experience.

Given that daily tasks and data entry are integral parts of your career, it’s essential to leverage them effectively. Let’s streamline these tasks and utilise them wisely for a more productive work life.

Session Key Takeaways:

  • Understand what the biggest productivity blockers are
  • Learn how to make your daily-life easier at work
  • Insights into the different steps in automation

This session is for you if…you are seeking for a new way of thinking to manage your data.

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5:10pm
Workshop

Harnessing The Power Of AI: A Deep Dive Into Opportunities And Challenges For Businesses

60 mins
  • Track - Workshop
  • Data
  • Premium Only
  • Skills
  • Eliza Casapopol

    Data & AI Specialist

    Microsoft

  • Tanuja Bhamidipati

    AI Cloud Solution Architect

    Microsoft

This talk will delve into the exciting realm of Artificial Intelligence (AI) and its role in catalysing business innovation, with a particular focus on the alliance between Microsoft and OpenAI. As an emerging technology, generative AI holds significant potential to revolutionise various sectors, yet its practical deployment remains an area of exploration for many businesses.

Session Key Takeaways:

  • Understanding the concept of generative AI and acknowledging its limitations
  • Identifying significant use-cases where generative AI can boost corporate performance and competitiveness
  • Debunking common myths and discussing challenges associated with generative AI
  • Participants can expect valuable insights on leading the corporate world in the AI era, practical applications of generative AI, and inspiring instances from other businesses

This session is for you if.. you are a Business Decision Maker, Technical Decision Maker, and anyone seeking to infuse their business operations with the power of AI. Sponsorship opportunities are available.

Find Out More
12:45pm
Presentation

The Future Of Energy: Decarbonisation, Decentralisation & Digitalisation

30 mins
  • Track - Future Impact
  • Sustainability
  • Andreea Ionita

    Chief Digital & Technology Officer

    E.ON

In the midst of a climate crisis and supply uncertainty there is a growing requirement for meaningful change within the energy sector and a need to educate society on the decarbonisation decentralisation and the overall digitalisation of the entire sector.

This session will explore the actions that need to be taken at both a corporate and consumer level, the frontier technologies helping society move to a greener future and techniques we can adopt as individuals to become more conscious energy consumers.

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3:15pm
Presentation

AI For Space

60 mins
  • Track - InfoTech
  • AI
  • Data
  • Transformation

As humanity prepares to venture back to the moon, attendees will gain insight into ESA’s missions and integration of new data-driven approaches to guarantee reliable communications and operations in the lunar environment.

Learn how AI algorithms are harnessed to predict and prevent satellite failures, guaranteeing reliable communications and operations in the lunar environment. As the satellite industry undergoes a profound digital transformation, understanding the power of AI becomes paramount.

Session Key Takeaways:

  • Gain insights into how AI is leveraged to predict satellite failures before they happen, offering unprecedented levels of reliability and performance
  • Learn what AI in space entails and how rather small and simple machine learning models can help shape the future space missions and operations
  • Gain an overview of ESA’s mission to return to the moon and its significance in space exploration

This session is for you if…you are interested in artificial intelligence, satellites, and the inspiring notion that you don’t have to be an astronaut to work in the field of space.

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5:10pm
Workshop

How To Deploy Big Data Driven Decision Making In Large Organisations

60 mins
  • Track - Workshop
  • Data
  • Premium Only
  • Lieve Lanoye

    Head Market Intro & Big Data Team

    TP Vision

  • Paola Masuzzo

    Lead Data Scientist

    TP Vision

As the capabilities of big data and machine learning expand, effectively deploying data insights within large organisations demands a strategic approach that seamlessly combines technical expertise with people skills. The challenge lies in fostering the adoption of insights generated by advanced data models among non-technical individuals.

Session Key Takeaways:

  • Mastering the art of translating commercial questions into data-driven inquiries is essential
  • Identifying the most suitable deployment strategy for diverse audiences is crucial
  • Restoring lost trust in data can be an arduous task, emphasising the importance of accuracy and reliability

This session is for you if…you are looking to successfully deploy data models across various teams within your organisation.

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12:45pm
Presentation

Machine Learning 101: Where To Begin?

30 mins
  • Track - InfoTech
  • Data
  • Lutske De Leeuw

    Software Engineer

    Luminis

With the fast changing world, ChatGPT growing fast. It’s good to know how to train your own machine learning model. Explore the fundamentals of machine learning and provide guidance on how to get started with building machine learning models. introducing machine learning and its applications, and discussing the different types of machine learning algorithms.

Dive into the key steps involved in building a machine learning model, starting with defining the problem and collecting and preprocessing the data. We will discuss how to choose the right algorithm for the problem and optimise it for the best performance through model selection and training.

Throughout the presentation, we will provide examples of real-world applications of machine learning to help the audience understand the practical implications of this technology. We will conclude by summarising the key takeaways from the presentation and offering resources for further learning.

By the end of the presentation, the audience should have a good understanding of the basics of machine learning and the key steps involved in building an effective machine learning model. They will also have resources at their disposal to continue learning and exploring this exciting field.

Session Key Takeaways:

  • Collect a lot of data
  • Don’t invent everything yourself
  • Machine Learning isn’t always the way

This session is for you if…you are a software engineer that has interest in machine learning, but never knew where to start.

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5:20pm
Presentation

Ethical Empowerment: Navigating The AI Revolution With Purpose

30 mins
  • Track - Future Impact
  • Data

Join us in this insightful session as we delve into the WHY, WHAT, and HOW of Responsible/Ethical AI within the fast-paced world of Tech companies. With the recent appeals for AI regulation from prominent entities like the EU, Open AI, Google, Microsoft, and leading researchers, it’s crucial to understand the importance of ethical considerations in AI development, especially in light of upcoming regulations such as the EU AI act.

During this session, we will address the following key questions:

  • How can AI and Data products be built and scaled rapidly while keeping ethics at the forefront of the entire process?
  • What steps can be taken to prepare for and succeed within your organisation in the long run, aligning with existing processes and leveraging automation?

Drawing on her extensive experience of over 10 years in building Applied AI solutions within telecommunications and automotive industries, Cornelia, our expert speaker, will share typical AI and data use cases that have been successfully built and scaled for products, services, and entire value chains. Additionally, she will discuss the essential components of an AI Ethics/Responsible AI Governance policy, including data transparency, and provide insights on the best practices for its implementation, encompassing stakeholder management and technological and automation solutions.

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Events in the Women In Technology Series

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May, 2024San Francisco

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26-27 June, 2024RAI Amsterdam

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October 2-3, 2023Sheraton Boston Hotel

Women of Silicon Roundabout

22-23 Nov, 2023ExCeL London

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