Ahmed El Adl
Advisor – Cognitive Digital Twin
Dr. El Adl is a global leader in digital technology innovation and intelligent enterprise. Over the last twenty-plus years, Dr. El Adl held different technology senior leadership positions with global software and the top five global technology consulting companies in Europe and the USA. Over the last two decades. he built, grew, and led global teams that leveraged pragmatic open innovation to build a new generation of intelligent technologies, solutions, and machines.
His key focus is to help companies successfully understand and adopt new technologies such as artificial intelligence, intelligent process & industrial automation, Industrial IoT, as well as Cognitive Digital Twins (CDT) which he personally coined and published in 2016 in collaboration with MIT.
Mr. El Adl has Ph.D. in Computer Science (AI/Computer Vision) and Post Doc. in AI and Robotics (Ulm, Germany). He is a frequent speaker at global conferences and actively engaged with different key organizations and academic institutions driving the adoption and advancement of AI/ML, Cognitive Digital Twin, and the new Human-Machine workforce.
BigRio is a technology consulting firm empowering data to drive innovation and advanced analytics. We specialize in cutting-edge Big Data, Machine Learning, and Custom Software strategy, analysis, architecture, and implementation solutions. We are an elite group with MIT and Harvard roots, shining when tasked with complex missions. Whether it’s Extracting, transforming, and loading big data from a variety of sources, building Artificial Intelligence solutions, or building high-volume, highly-available software, we deliver consistently.
With extensive domain knowledge, BigRio’s scientists and engineers design and build best-in-class solutions across a variety of verticals. This diverse industry exposure and our constant exposure with cutting-edge technology equip us with invaluable tools, strategies, and techniques. Our talent pool of experts brings innovative, cost-conscious, and extensible results to complex business challenges.