The Realities of AI at Work: A Dynamic Conversation

The Realities of AI at Work: A Dynamic Conversation

AI has disrupted the world of work at an unprecedented pace, making it essential for everyone to understand not just what AI is, but what it means for their careers.

AI has disrupted the world of work at an unprecedented pace, making it essential for everyone to understand not just what AI is, but what it means for their careers.

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This event goes beyond the headlines. Attendees will gain a practical understanding of how AI is being applied across industries today, cutting through hype to focus on real-world impact.


Through expert panel insights, they will explore how roles and skill demands are evolving, and uncover common misconceptions along the way. Beyond the content, it's also a chance to meet like-minded people and grow your network.


Agenda


  • Refreshments & Networking (30 mins)

  • Welcome & Introduction (10 mins)

  • Panel Discussion (50 mins): Real-world perspectives from experts across sectors

  • Q&A & Audience Discussion (20 mins): Open questions and shared reflections

  • Closing (5 mins)

  • Networking (35 mins)


Speakers


Amina Appiah Lewis

Founder/CEO of LiveGuide AI

LinkedIn


Amina is the Founder and CEO of LiveGuide AI, a voice-first wellbeing guidance platform using AI to support people through health, work and life transitions.


With a career spanning digital, content, growth and AI, Amina has seen first-hand how technology is changing the way we work, build businesses and develop our careers. She is particularly interested in how women can harness AI not just to adapt to change, but to create new opportunities, lead innovation and shape what comes next. Today, she is building LiveGuide AI at the intersection of technology, wellbeing and human support.


Amina is the winner of the 2026 Brilliant Women in AI Entrepreneurship Award, presented by Women in AI UK at the BSI.



Mini Biswas

AI & Security Specialist at Cisilion

LinkedIn


For 20 years, Mini has been helping organisations navigate technology across AI, cyber security, cloud services and digital innovation.


Throughout her career at Softcat, Node4 and Cisilion, she has helped transform embryonic visions into commercial reality, creating new propositions, driving strategic growth, enabling teams and helping organisations evolve into AI-First enabled businesses.


Today she works with C-Suite/executive teams to move beyond AI experimentation and into meaningful business transformation. Her work spans AI Advisory, Security & Governance, Adoption & Change Management, and Agentic AI Solutions, helping organisations unlock value whilst keeping people at the centre of the journey.



Ekaterina Abramova

Adjunct Assistant Professor at London Business School

LinkedIn


Ekaterina is an Adjunct Assistant Professor at London Business School, where she delivers Machine Learning, Data Analytics and Python programming courses. Her research focuses on extracting trading signals from financial markets using advanced econometric techniques, with a particular speciality in Reinforcement Learning.


Ekaterina completed a PhD in Artificial Intelligence and Machine Learning from Imperial College London and holds an MSc in Financial Engineering. Her interests are in the application of Machine Learning, Econometrics and Statistical techniques to financial data.


Moderator:


Natalie De Souza

Chartered Accountant at M&G

LinkedIn


Natalie De Souza is a Programme Management Officer at M&G plc with a background in Finance as a Chartered Accountant and expertise in project governance. She specialises in product delivery, financial management, stakeholder management, and process improvement. Natalie is passionate about fostering collaboration and driving positive change across the business.


FAQs:


Q. Is the event FREE to attend?

The event is FREE to attend.


Q. Is it an event only for women?

The event is designed primarily for women professionals. However, we warmly welcome men and others to join us. Kindly note that She Loves Data reserves the right to decline registrations that may not align with the event’s focus.


Q. What if something comes up and I need to retract my registration?

If you can't make it, please be considerate and let us know as early as possible - either by cancelling your registration directly on Eventbrite or by emailing us at support_uk@shelovesdata.com.




Location

London, UK

Date

September 10, 2026

5:45 - 8:15 p.m.

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Address

She Loves Data Ltd.
36 Robinson Road, #20-01 City House
Singapore 068877

Contacts

info@shelovesdata.com

Join our community
Follow us
Team member work
Team member work

© She Loves Data. All rights reserved.

Logo
Address

She Loves Data Ltd.
36 Robinson Road, #20-01 City House
Singapore 068877

Contacts

info@shelovesdata.com

Join our community
Follow us
Team member work
Team member work

© She Loves Data. All rights reserved.