Under the patronage of His Highness Sheikh Mohamed Bin Zayed Al Nahyan, President of the United Arab Emirates

تحت رعاية صاحب السمو الشيخ محمد بن زايد آل نهيان، رئيس دولة الامارات العربية المتحدة

Supported by

Dr. Andrew Jackson

CEO

Inception

Andrewjackson
Andrewjackson

With almost 3 decades of experience in artificial intelligence (AI), data science, and analytics, Dr. Andrew Jackson is currently the CEO of the Inception. He was a founding member of G42, where he helped launch core businesses that have become IPO success stories on the Abu Dhabi Securities Exchange (ADX), and led the development of JAIS, an Arabic GPT among other groundbreaking projects. Dr. Jackson also manages an AI Investment Fund that has invested in projects in China, Europe, and Silicon Valley.   Before joining G42, Dr. Jackson expanded Palantir's market presence across the MENA region. He also led the creation of a data and analytics function at Etihad Airways, contributing to one of the world’s largest digital transformations. Earlier in his career, he developed high-frequency, low-latency electronic trading strategies at Susquehanna International Group (SIG), driving the most profitable team in Europe. Additionally, he commercialized research for the European Union, collaborating with 13 EU universities and partnering with global leaders such as IBM and Siemens.   Dr. Jackson holds a PhD in Machine Learning from Trinity College Dublin and has pursued advanced studies at UC Berkeley, Oxford, and MIT. His extensive academic background includes specializations in ubiquitous computing, software engineering, and machine learning.

Session Overview
Tuesday, 5 November
14:00
Strategic Conference ICC Hall 14:00 - 15:00
View Session
The power of AI for the energy transition

AI is contributing to the transformation of the energy sector through its utilisation of large data sets. According to BNEF’s net-zero scenario modeling “every 1% of additional efficiency in demand creates $1.3 trillion in value between 2020 and 2050 due to reduced investment needs”, with AI set to help achieve this by enabling greater energy efficiency and flexible demand. Machine learning, deep learning and generative AI are improving operations effectiveness, providing insights for lowering emissions, anticipating mechanical and supply chain malfunctions and driving substantial energy efficiency gains. However, scaling AI from successful pilots to broad implementation brings its own challenges. AI uptake and the use of associated high energy demand data centres - which are growing globally in number by the day (200TWh power is needed to meet global data centers demand according to Goldman Sachs) - are on track to outpace the power available to run them. What will be needed, both in the AI application and securing access to new energy supplies, to deliver on the promise of AI and its contribution to the energy transition?

Attendee insights:

Understand how AI is transforming business operations, its opportunities and challenges related to data centers and energy consumption needs.

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