About Us
The InsightsX Lab is the Data Science hub to connect the analytics community and academic fraternity with organizations willing to derive insights from their data. The lab enables academic researchers and the data science community in the UAE to help companies understand how to better monetize their data through the development and application of new predictive models and analytical approaches. The strategic partner for this initiative is Beinex ( https://www.beinex.com ) and they bring in the analytical transformation expertise for the lab and its event
The InsightsX Lab acts as a data translator to convert the business requirements from various firms in the UAE to data science questions that could be cracked by the crowdsourcing model (analytics community). It also provides expert analytics consulting, corporate training in data science, and knowledge sharing session
The following are the key offerings of the InsightsX Lab: Datathons (Data Hackathons), Use Case Nights (Experts in action), Training/Consulting (Lab experts providing services), and Data Science Meetups.
Where can you contribute?
Membership:
If you wish to become a member of this lab and community, please check “Become a Member” tab for registration- Its free, and it always will be. Also like our facebook page for details on workshops, events and datathons: https://www.facebook.com/mdxinsightslab
Corporate Data Partner:
If you are an organization willing to bring in a data-set for our community to crack and derive insights, please contact Dr Krishnadas Nanath ([email protected] ) for becoming a corporate data partner
Data Science Expert:
If you wish to contribute as a Data Science expert for conducting guest sessions or workshops as part of the lab, please send an email to [email protected]
For any other way of collaboration and contribution, please contact
Dr Krishnadas Nanath
Head and Founder - Middlesex Insights Lab
[email protected] & [email protected]
Mob: +971 554360019
The Lab is supported by the Centre for Innovation in Human Experience along with Robotech Lab and Immersive VR Lab.
Publications
As part of Insights Lab, we wish to contribute meaningful content that can be helpful for Data Science community. If you wish to contribute a blog, an article, or a dataset that we can include in our publications ahead, please write to [email protected]
P1: 25 Amazing Open Datasets in the UAE
Find your way through the best and handpicked datasets in the United Arab Emirates Context. Each dataset comes with a description, attributes, landing page, data science questions and other assocaoted information.
CORPORATE TRAINING & CONSULTING
Corporate Training Program Emirates NBD
Enbd Dr Krishnadas Nanath organized digital transformation and Robotic Process Automation (RPA) training program for ENBD future managers. This was part of the Tanfeeth initiative by Emirates NBD to train their future managers on analytics and data driven decisions.
Consulting Project for Majid Al Futtaim: 3 months
Al Futtaim Middlesex Insights Lab is currently engaged with Majid Al Futtaim for a consulting project with the School of Analytics. Dr. Krishnadas Nanath (head of Insights Lab) is the lead consultant for this project.
Corporate Training for Petroleum Development Oman - Oct 2019
Petroleum Development OmanDr Krishnadas Nanath executed a corporate training program on Data Science for Petroleum Development Oman as part of their analytical transformation journey. This training was offered in PDO, Muscat in October 2019.
Corporate Training Program for First Abu Dhabi Bank (FAB)
FABInsights Lab faculty team (Dr Krishnadas Nanath and Mohammed Osman) developing a 3 day data science program for FAB in November 2019. The main aim of this program was to scale up the analytics using Big Data and automation.
Corporate Training Program ADNOC – Data Science
AdnocDr Krishnadas Nanath organized a one day data science (Oil and Gas Sector) workshop for ADNOC in the Abu Dhabi Headquarters.
Advanced Training of Trainers for MEKONG Institute
Mekong InstituteDr. Sreejith Balasubramanian has co-designed and delivered a 3-week training program for MEKONG Institute, an intergovernmental organization run by six governments in the Greater Mekong Sub-region
Bridgestone's Supply Chain Network Redesign Project
Dr. Sreejith Balasubramanian along with his students had undertaken a 4-month consulting project to help support Bridgestone's Global Supply Chain Network Redesign Project.
Thesis project connects students with top industry partners
Students on the MSc Data Science programme at Middlesex University (MDX) Dubai recently presented their thesis projects that were developed in collaboration with industry partners.
The event, held at MDX Dubai on 11 October 2024, celebrated the academic achievements of the students and highlighted the impressive collaborations forged between the university and prominent employers including Dubai Police, Dubai Electricity and Water Authority (DEWA), Landmark Group, Al Futtaim IKEA, and Emirates Airline.
Organised by the university’s research committee in conjunction with the Middlesex Insights Lab, the competition provided an invaluable platform for final-year students to display their projects, engage with each other’s work and discuss the submissions with faculty, peers, and industry experts.
Dr Krishnadas Nanath said: “It was truly a celebration of the students' thesis journey, and we aim to make this an annual event.
“It serves as a vital link between theoretical knowledge and practical application. The projects exemplified the students’ ability to apply data science principles to solve complex problems, a skill highly sought after in today’s job market.”
The interactive nature of the competition allowed industry representatives to engage with students, providing valuable feedback and insights that could shape their future academic and professional careers.
The role of a data scientist is rapidly becoming a required position for any company that wishes to take full advantage of the data they collect, and therefore there is an increased demand for professionals that have the correct mix of mathematics, statistics, computer science, business acumen, and the ability to leverage emerging technologies to solve real-life problems.
Our MSc Data Science programme is currently accepting applications for January. Apply now.
Four-Day Generative AI Conclave: LangChain Certification Programme Showcases Cutting-Edge AI Trends
Middlesex University Dubai recently concluded its inaugural immersive four-day Generative AI Conclave: LangChain Certification Programme from 17 to 18 and 24 to 25 February 2024. Students delved into the realms of generative AI with interactive sessions, engaging keynote speeches, and a stimulating hackathon, exploring the potential of LangChain technology.
Highlights of the Generative AI Conclave included:
LangChain Certification Course: An end-to-end LangChain certification course recommended by LangChain themselves.
Interactive Keynote Speeches: Distinguished keynote speakers shared insights into the latest cutting-edge AI trends, offering valuable perspectives on the future of generative AI.
Hands-On Hackathon: This was the highlight of the event where participants collaborated, competed, and innovated to tackle real-world challenges using generative AI techniques.
Networking Opportunities: Attendees had the chance to connect with peers, professionals, and pioneers in the field offering them collaborative opportunities.
Study Materials: Participants also received a complete pack of Gen AI study materials and in-house-developed cheat sheets to further explore the topic of generative AI.
The Conclave attracted a diverse audience, including AI enthusiasts, data science professionals, students, and industry experts with varying levels of expertise in Data Science and Python coding.
Missed out on this transformative event? Stay tuned for the next Generative AI Conclave: LangChain Certification Programme in Winter 2024.
To read more on the Generative AI Conclave: LangChain Certification Programme, visit https://www.mdx.ac.ae/generative-ai-conclave-langchain-certification-programme