Big Data Awards 2023

Big Data Awards 2023

By |Last Updated: May 14th, 2024|

Bonn, Germany, 13 June 2023 – The Big Data Awards 2023, winners to the highly anticipated event celebrating excellence and innovation in the field of big data analytics, were announced during the closing ceremony of Big Data Days 2023. This year’s awards recognized exceptional projects, practitioners, and students who have made significant contributions to the industry. After a rigorous evaluation process by a distinguished panel of judges, the winners in various categories have been unveiled, showcasing outstanding achievements in the world of big data.

The Big Data Awards is proud to have had a distinguished panel of judges for this year’s competition. These renowned industry experts lent their expertise and experience to evaluate and select the most deserving winners from a pool of exceptional entries. The esteemed panel of judges for the Big Data Awards 2023 are:

The judges were pleased to announce that winner of the “Project of The Year” award is eClerx-Digital (India). The judges were particularly impressed by the remarkable project undertaken by eClerx-Digital, which effectively addressed the complex challenges of supply chain management. The project showcased advanced machine-learning techniques that outperformed other competing projects. The judges’ report praised eClerx-Digital, stating:

“Supply chain management is a highly complex challenge to address. The advanced machine learning techniques employed in this project clearly surpassed those of other submissions. The project demonstrated an exceptional commitment to machine learning, with well-defined key performance indicators (KPIs) and goals. It is deeply rooted in supply chain management and has a local impact with a global footprint.”

The “Practitioner of The Year” award was presented to Dr. Abdulrhman Alajmi (Saudi Arabia). The judges recognized Dr. Alajmi as a rising national star with tremendous potential for growth. They commended him as an embodiment of KSA’s Vision 2030 aspirations, reflecting his dedication and relentless efforts. Dr. Alajmi’s creation of the Saudi National Data Management Office was acknowledged as a significant accomplishment, making him a highly deserving recipient of this prestigious award.

The award was presented to Dr. Abdulrhman Alajmi by Jan Willem Middelburg during the PMI Kingdom of Saudi Arabia Chapter Global Project Management Forum held in Riyadh. Watch the ceremony below:

Last but not least, Mr. Fu Cheng Min from Taiwan has been honored with the “Student of the Year” award. Mr. Fu Cheng Min’s exceptional dedication and outstanding performance in achieving Enterprise Big Data Framework certifications set him apart from other students. This award recognizes his remarkable achievement, having achieved the highest marks across the available Big Data courses throughout the calendar year.

The Big Data Awards 2023 celebrates the extraordinary achievements of individuals and organizations in harnessing the power of big data to drive innovation and create a significant impact. These winners exemplify the potential of big data analytics in transforming industries and shaping the future.

We extend our heartfelt congratulations to eClerx-Digital, Dr. Abdulrhman Alajmi, and Mr. Fu Cheng Min for their remarkable accomplishments. Their achievements inspire and set new benchmarks for excellence in the field of big data analytics.

Watch the full Big Data Days 2023 closing and award ceremony

About Big Data Days

Big Data Days is an annual conference dedicated to exploring the latest advancements, trends, and applications in the field of big data. It provides a platform for researchers, industry experts, and enthusiasts to exchange knowledge, discuss challenges, and foster collaborations. The conference offers a unique opportunity to gain insights into cutting-edge technologies and best practices in the big data industry. For more information, reach out to lydia.oon@bigdataframework.org. Big Data Days 2024 will be coming soon.

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Written by : Big Data Framework
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