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14:00 - 15:00

14:00 – 14:05

10 October 2022 | 5 Minutes

Paid

AI
Track: Data Economy
Hall 7A Pavilion, Blue Stage

Disrupt X

Welcome address

Welcoming address by MC, Introduction of raffle draw – give business card and might win signed book

Speakers

Basil Ayass

Sales Leader, Education and Healthcare

Google

14:05 – 14:20

10 October 2022 | 15 Minutes

Paid

AI
Track: Data Economy
Hall 7A Pavilion, Blue Stage

Disrupt X

Keynote Address – The Good AI

Sustainable Development Goals is on top of executive's minds. The Good AI is building a collaborative ecosystem of AI solutions and expertise to help companies make business sustainable. It is a stat-up focusing on the Sustainable Development Goals, empowering more than 117 Start-ups in more than 40 Countries with various programs including projects, events and content production. Case study: Organizations have a huge responsibility to report on their ESG’s and how organizations overcome the real struggles with the underlying data Discuss the impact of AI expertise on Climate & Biodiversity, Future of Work & Human rights, Circularity and Responsible use of AI.

Speakers

Caroline Lair

CEO

The Good AI

14:20 – 14:50

10 October 2022 | 30 Minutes

Paid

AI
Track: Data Economy
Hall 7A Pavilion, Blue Stage

Disrupt X

Panel Discussion – Bridging the funding gap

“Venture Capital & Female Founders” - “2021 - 1% of VC went to Female Founders”

Speakers

H.E. Raja Al Mazrouei

EVP

DIFC Fintech Hive

Al Anoud Al Hashmi

Chief Executive Officer

SDG Global

Dr. Hanan Salam

Co-Founder

Women in AI

Dr. Sameh Ben Fredj

Lead Data Scientist

United Arab Emirates

Emirates Airlines

Mostafa Zafer

Vice President

IBM Cloud and Cognitive Software , IBM

United Arab Emirates

14:50 – 15:05

10 October 2022 | 15 Minutes

Paid

AI
Track: Data Economy
Hall 7A Pavilion, Blue Stage

Disrupt X

Keynote Address: Data, Analytics and AI in the Enterprise and why Diversity and Inclusion is so important

Closing the gender gap in Data, Analytics and AI on all levels is becoming critical for Enterprises. From Boardroom, to C-suite, to the strategy tables, teams and solutions. We have lots of examples of AI solutions that are biased. We also know that organizations with equitable female representation in the C-suite and boards report 10% better economic performance. Therefore, Data, Analytics and AI is the one profession that can either hurt society if diversity and inclusion is not baked in, and tremendously benefit society if it is done right. How do we do it right? We encourage more women to enter the field (today not more than 22% of the field is women). We encourage women to not only take on supportive roles but participate and lead (only 10% of publications in this field are by women). We encourage women to stay in the field and become Trailblazers and give back to the field (50% of women in the field leave in their midcareers)

Speakers

Lisel Engelbrecht

CIO - Data, Analytics & AI

Standard Bank

South Africa

Debbie Botha

Global Partnership Officer

Women in AI

15:00 - 16:00

15:05 – 15:20

10 October 2022 | 15 Minutes

Paid

AI
Track: Data Economy
Hall 7A Pavilion, Blue Stage

Disrupt X

Keynote Address: WAI in the Metaverse

Women in AI in the Metaverse” Sustainable Metaverse and NFTs The NFT Market is Booming!
Thousand Eyes On Me, a non-profit helping women and minorities with leadership education. With launching Thousand Faces NFT collection, we can Invest in Art, Invest in Women''s and Invest in the Planet. Thousand Faces is the first Carbon Negative Female Investment Club using Art NFTs. The project aims to invest in female led projects and initiatives and raise awareness about gender diversity in Web3 through the power of community.
Case study: Invest in Art. Invest in Women. Invest in the Planet.
Discuss the Promotion of female role models in STEAM through the Web3, Metaverse and NFT

Speakers

Moojan Asghari

CEO & Founder

Thousand Faces

15:20 – 15:30

10 October 2022 | 10 Minutes

Paid

AI
Track: Data Economy
Hall 7A Pavilion, Blue Stage

Disrupt X

Book raffle draw and grab a coffee

MC draws a business card and hand over the book

15:30 – 15:45

10 October 2022 | 15 Minutes

Paid

AI
Track: Data Economy
Hall 7A Pavilion, Blue Stage

Disrupt X

Keynote Address: State of Leadership in AI

State of Ethical & Responsible AI” Organizations with a good representation of Women on the Board of Directors are more likely to report 10% higher financial performance than its counterparts with all male or little women representation. Yet, women make up less than 25 percent of people working as AI specialists and even less in leadership roles related to AI. What can be done to increase the presence, participation and eminence of Women in the Field of AI?

Speakers

Alessandra Sala

President of Women in AI, Director of AI & Data Science

Shuttershock

15:45 – 16:15

10 October 2022 | 30 Minutes

Paid

AI
Track: Data Economy
Hall 7A Pavilion, Blue Stage

Disrupt X

Panel Discussion: Regulations made practical

“Volume and varying AI & Data guidance, standards, regulations” - “Making it useful and practical”

Speakers

Andrew Jones

Founder & Instructor

Data Science Infinity

United Kingdom

Angela Kim

Chief Partnerships Officer

Women in AI

Dr. Hoda Al Khzaimi

CEO

Women in AI

Althea Davis

Chief Data Officer

Abu Dhabi Digital Authority (ADDA)

16:00 - 17:00

16:15 – 16:30

10 October 2022 | 15 Minutes

Paid

AI
Track: Data Economy
Hall 7A Pavilion, Blue Stage

Disrupt X

Keynote Address – AI infused medical devices

AI Medical Devices and Data Centric AI” Rolling out Medical device for detecting Cervical Cancer with 97% accuracy Case Study: Rolling out Medical device for detecting Cervical Cancer with 97% accuracy. Dian Diagnostics has billions of patient medical laboratory test data harvested from its 25-year practices in China. Xiaomei’s AI solutions have been designed and developed heavily leveraging the data resources provided by Dian due to their joint venture business relationship.

Speakers

Xiaomei Wang

CEO

PathoAI

16:30 – 16:45

10 October 2022 | 15 Minutes

Paid

AI
Track: Data Economy
Hall 7A Pavilion, Blue Stage

Disrupt X

Unpopular opinion: You don't need to hire as many data experts. They’re already in your teams.

Data has become the core of most companies' operations. Making the most of data is key for all business units, in particular marketing, finance, supply chain, ... it means better insights, more productivity, and better decisions, autonomously. Companies first reflex is to recruit data experts. But data competencies are scarce; it's a challenge. However, it is infinitely easier (and more profitable internally) to upskill your teams on specific data skills or reskill them towards data expert jobs. In this discussion Clément Eulry, General manager at Le Wagon for Business, will explain why the right strategy to accelerate a digital transformation, is focusing on training existing employees with a ROI driven methodology.

16:45 – 17:00

10 October 2022 | 15 Minutes

Paid

AI
Track: Data Economy
Sheikh Rashid Hall Main Stage

Disrupt X

Awards

Women in AI Ambassador of the year
Women in AI Partner of the year
Trailblazer Woman in AI, Data & Coding
Most inspiring Education
Startup of the Year
Data & AI Chief of the Year
Women in AI Educator Award

Speakers

Alessandra Sala

President of Women in AI, Director of AI & Data Science

Shuttershock

Angela Kim

Chief Partnerships Officer

Women in AI

Debbie Botha

Global Partnership Officer

Women in AI

Yasmin Al Enazi

COO

United Arab Emirates

Women in AI

14:00 - 15:00

14:00 – 14:05

11 October 2022 | 5 Minutes

Paid

AI
Track: Data Economy
Sheikh Rashid Hall Main Stage

Leaders in Data Science

Welcome address by MC & Chairpersons

Speakers

William Thompson

Chief Strategy Officer

United States of America

Forbes Ignite

Nicole Cacal

Professor at Parsons School of Design & Founder & CEO

Forbes Ignite

United States of America

14:05 – 14:20

11 October 2022 | 15 Minutes

Paid

AI
Track: Data Economy
Sheikh Rashid Hall Main Stage

Leaders in Data Science

The future of digital economy

Reserved for Sandbox

14:10 – 14:20

11 October 2022 | 10 Minutes

Paid

AI
Track: Data Economy
Sheikh Rashid Hall Main Stage

Leaders in Data Science

Setting up organizations for flow instead of optimizing for utilization

Speakers

Sven Herzing

VP Technology

United Arab Emirates

Talabat

14:20 – 14:35

11 October 2022 | 15 Minutes

Paid

AI
Track: Data Economy
Sheikh Rashid Hall Main Stage

Leaders in Data Science

Introducing Augmented Reality for Enterprise Alliance (AREA): How AR can help your business

An overview of the key AR use cases, case studies from the leading AR companies, the ROI being achieved, and challenges companies are overcoming to successfully deploy AR

Speakers

Mark Sage

MIT Horizons Subject Matter Expert & Executive Director

AR for Enterprise Alliance (AREA)

United States of America

14:35 – 14:50

11 October 2022 | 15 Minutes

Paid

AI
Track: Data Economy
Sheikh Rashid Hall Main Stage

Leaders in Data Science

Understanding the Nature of Digital Twin – Digital Twin Challenges & Values; Empowering Businesses

The term digital twin is being used with increasing frequency, but with little consistency, across multiple industries today. Digital Twin Consortium is working to address this and help industries better understand the advantages and value over the continuum of digital twins from discrete to complex. Learn about the challenges the Digital Twin Consortium membership is working to address and its priorities. Gain a clear understanding through real-world use cases how businesses are recognizing value today through use of digital twins an enabling technologies

Speakers

Daniel Isaacs

CTO

Digital Twin Consortium

14:50 – 15:20

11 October 2022 | 30 Minutes

Paid

AI
Track: Data Economy
Sheikh Rashid Hall Main Stage

Leaders in Data Science

Panel discussion: The Path to Secure Data Sharing and Monetisation

Speakers

Mohammed Khodr

Account Director

United Arab Emirates

Snowflake

15:00 - 16:00

15:20 – 15:35

11 October 2022 | 15 Minutes

Paid

AI
Track: Data Economy
Sheikh Rashid Hall Main Stage

Leaders in Data Science

The road to digital transformation

Connecting industrial plant to the internet enables businesses to transform themselves digitally to create new products and services and to create new business models to monetize their offerings. But this is a road going uphill. Where do you start? How do you address ossified organizational, operational, and business practices? What do you need to jumpstart change? And where are you heading anyway? This presentation will map the road to digital transformation, illustrate the learnings and resources the Industrial Internet Consortium can bring to bear and look to the future.