A thought leader and visionary in the field of Modern Data Management and Enterprise wide Data Quality Initiatives has been focused on refining business models and strategies using AI/ML, Data Science technologies. His expertise ranges from Product Strategy, Product Development & Launch, Technology Leadership around real time digital applications to advanced AI/ML based intelligent automated systems with a focus towards customer experience.
Most recently, Mr. Joseph was the President of Intellectyx, a data science solutions and AI services company, empowering businesses with innovative data related accelerators, framework and solutions. He was in that role for a decade helping clients with data solutions before he went on to use his data science and AI/ML experience to innovate and create DQLabs.ai – an AI augmented data quality platform. DQLabs helps enterprises discover trustable data and helps leverage ROI immediately with built in processes and technologies to catalog, profile, curate and master any data with self service capabilities and prepare “ready-to-use” data for use across reporting, analytics and MDM solutions. He is also well known for his efforts in creating one of the nation’s largest Consumer Repository containing billions of unique individuals with multitude of attributes by processing petabytes of behavioral data as part of his Product Leadership role at Acxiom. He has led and have been instrumental in creating various real time analytics-based applications involving Identity, Fraud, Risk Evaluation, 360 Omni channel analysis, Marketing Mix, Segmentation for insurance, retail, e-Commerce, automotive and hi-tech.
Mr. Joseph has been recognized globally for his entrepreneurial effort and have won several awards from various organization including the Institute of American Entrepreneurship. Recently he won the National Champion Award for his work towards creating the nation’s first repository for collecting epidemiologic and demographic information on infants and toddlers. He holds US Patent (#7490272) for his work on “Method for validating the proper operation of a transactional management system” and have presented several whitepapers, webinars on data related applications.
Joseph is engaged on various thought leadership speaking opportunities at data related conferences and serves advisory role in various technology companies. His keen interest and focus continue to remain on the field of data + AI initiatives.
WATCH LIVE: November 3rd at 10:30 am
In today’s world anyone can create any data from anywhere on any device. While this is going to grow even further with more and more business strategy shifts and technology sophistication, we are left with no choice other than to deal with lots and lots of data. Traditionally we have been forced to use big data platforms, analytics but does that really help? Are the leadership able to trust their own data within their organization? Are the data engineers able to steer and proactively manage their data platforms? Are the data scientist who are supposed to build models and refining algorithms able to focus just on those objectives?? Or are we just mindlessly building data lakes and clusters with the hope one day we will make some sense of the data we have. This topic is for those who are brave enough to roll up their sleeves and willing to admit enough is enough, and try new approaches to solve the age old question of how to make sense of our own data?