Welcome note
Raja Iqbal
Data Science Dojo

Don't miss out on the Future of Data & AI conference this Fall 2024! Join thousands of data enthusiasts, learn from industry leaders, and engage in panel discussions with thought leaders. Elevate your expertise in cutting-edge topics like Generative AI, Foundational Models and LLMs through our guided tutorials.
Thought leaders and speakers from leading organizations worldwide




































Relive the highlights from the Future of Data & AI conference
Industry leaders, researchers, and practitioners from the world's top companies sharing what's next in data and AI.

Data Scientist at Data Science Dojo
Data Science Dojo

CEO and Co-founder
WhyLabs

Senior Federal Data Scientist
KPMG

Data Scientist and Author

Senior Director, Data Analytics
Arizona State University

Co-Founder and Chief Data Scientist
TruEra

Founder & CPO
Arize AI

ML Engineer
Cohere

Founder and CEO
Weaviate

CTO

Data Scientist
Librodepases

CEO | Head of Data | Published Author
Gable

Founder and CEO
Superlinked

Senior Data Science Manager
Microsoft

Head of Data
Cohat

Senior Director of Data Science and AI at Microsoft
Microsoft

Solution Architect
Zilliz

Director, Data Governance and Business Intelligence
University of British Columbia

Founder
Traversaal AI

Co-Founder and CTO
ZenML

AI Engineer
Weaviate

Senior Data Scientist

Partner
Madrona Venture Group

Founder
JoshCavalier.ai

AI Innovation Program Leader

Affiliate Professor
University of Washington

VP, Security
Gemini

Data Scientist
Data Moves Me

Group Product Leader

VP Engineering
Arbisoft

OpenShift Data Science Lead
Red Hat

Faculty of Neurology
Harvard Medical School

Principal Engineer
Redis

Principal Consultant for MetaMeta Consulting

Co-founder and CTO
Deepchecks

Lecturer
Stanford University

CEO
RunPod
Raja Iqbal
Data Science Dojo
In this panel, we will start by discussing what is the importance of data visualization in storytelling in different industries and what are some common or hidden problems, challenges, and pitfalls surrounding it. Read more
Albar Wahab
Data Science Dojo
Nick Desbarats
Practical Reporting
Camila Manera
Libro de Pases
Kristen Kehrer
Comet
Let's face it, the challenge of search today is indexing billions of entries while delivering relevant results quickly. Traditional keyword-based methods have limitations, leaving us searching for a better way to improve search. Read more
Sam Partee
Redis
Jacky Koh
Relevance AI
Daniel Svonava
Superlinked
Harmke Alkemade
Microsoft
Bob van Luijt
Weaviate
Join our expert panel for a lively discussion on MLOps. Get insights into the challenges and opportunities of operationalizing machine learning as our industry leaders share their hands-on experiences. Read more
Raja Iqbal
Data Science Dojo
Hamza Tahir
ZenML
Muntazir Mehdi
Amazon
Faisal Masood
AWS
Natale Vinto
Red Hat
This AMA session will provide an overview of a career in data science, with a focus on how to get the first job or start out in the data science field. Read more
Jimmy Nguyen
Avery Smith
Data Career Jumpstart
Nick Singh
DataLemur
Muazma Zahid
Microsoft
The panel discussion at the conference will be an in-depth exploration of the topic of Generative AI, delving into the latest advancements and trends in the industry. Read more
Hamza Farooq
Raja Iqbal
Data Science Dojo
Batool Haider
Stanford University
Francesca Lazzeri
Microsoft
Artificial Intelligence applications hold the key to reducing healthcare inequity locally and globally. While centralized architectures have been key to advances in consumer AI, they will not work to deploy and train AI applications for children's medicine. Read more
Timothy Chou
Stanford University
Raja Iqbal
Data Science Dojo
The total amount of digital data generated worldwide is increasing at a rapid rate. Simultaneously, approximately 80% (and growing) of this newly generated data is unstructured data – data that does not conform to a table- or object-based model. Read more
Frank Liu
Zilliz
In this talk, Arif Iqbal, the CEO of LAAM, will discuss how his company is utilizing AI to enhance the fashion consumer experience for millions of users and businesses. Read more
Arif Iqbal
Laam
When learning data science, students typically focus on SQL, Python or R for data analysis and machine learning. On the job though, data is usually stored in a database. Read more
Alice Zhao
DataLemur
This lecture introduces the tools and libraries used in Python for data science and engineering. It covers basic concepts such as data processing, feature engineering, data visualization, modeling, and model evaluation. Read more
Boyan Angelov
Relevance AI
Typically, when we think of deep learning applications we think of complex coding in languages like Python where packages such as Tensorflow and Keras can be leveraged. Read more
Corey Weisinger
KNIME
Emilio Silvestri
KNIME
Unlock the power of semantic search with this hands-on tutorial. Learn how to build a semantic search engine from scratch and deploy it as an API on Hugging Face. Read more
Hamza Farooq
Stanford
This talk will provide an overview of distributed system design principles and their applications in data engineering. Read more
Touseef Liaqat
Algolab
Machine language understanding and generation has been undergoing rapid improvements due to recent breakthroughs in machine learning (e.g. large language models like GPT and BERT). Read more
Hemant Jain
Cohere
Want to eliminate the hassle of inconsistent programming environments and achieve reproducible data science? Attend our presentation on how Docker can help you achieve that and more! Read more
Sanjay Pant
Data Science Dojo
As businesses increasingly turn to chatbots to automate customer support services, Azure OpenAI emerges as a highly advanced and customizable platform that provides robust natural language processing capabilities. Read more
Ebad Ullah Khan
Data Science Dojo
Organizations supporting the Future of Data & AI conference community












"The Future of Data and AI conference was a remarkable experience. The presentations were insightful, well-organized, and covered diverse topics. The inclusive atmosphere created by the organizers made networking and collaboration easy. I left the conference feeling inspired and motivated to continue learning. I highly recommend this conference to anyone interested in the future of data and AI."
"As a data scientist, I use large datasets to drive decision-making. One project involved building a predictive model for targeted marketing, resulting in increased sales and customer satisfaction. Analyzing customer feedback identified trends and improved our products and services, enhancing customer experience and retention rates. Data science has revolutionized decision-making and problem-solving in our organization."
"Great topics and speakers. Each contributed differently and helped me get a better understanding of what's coming in the future. A great overall experience."
"The Future Data and AI conference was a fantastic experience. Engaging speakers covered a wide range of topics, from AI basics to advanced data science applications. The sessions were well-structured, and networking opportunities were valuable. I learned a lot and highly recommend attending future events."
"I had a fantastic experience at the Future of Data and AI Conference. The program was engaging, informative, and diverse, with expert speakers who inspired lively discussions. Networking opportunities were invaluable for connecting with others in the field. The organizers ensured an inclusive and rewarding experience. I highly recommend this conference to stay updated in the field and look forward to future events."
"I was at my job and did my best to follow the presentations. Even the small bites of knowledge that I have gained will help me soon, as I want to migrate from Medtech repair to Data Science. I have loved the experience of being part of such an event, especially because of the internationality of the hosts."
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