2019 looks to be the year of using smarter technology in a smarter way. Three key … 3 Key Tech Trends to Watch Out For In 2019Read more
Author: Madhusudan Therani
Madhu is responsible for developing Near’s ambient intelligence platform and associated products. He leads the engineering and data science efforts at Near based out of Silicon Valley.
He is a seasoned tech entrepreneur, a former academic, and has been building software and hardware for the past couple of decades. He has a proven track record of working on large scale data analysis, machine learning, text analysis, and decision-making models in a variety of domains including engineering design, product lifecycle management, online search and computational advertising. He is an alumnus of Carnegie-Mellon Univ., with interests in real-world applications of AI and Robotics.
On the personal front, Madhu is a movie buff, loves travelling and playing a round of golf or two in his free time.
The How and Why of ID Unification
Identifier (ID) Unification is one of the key data fusion problems to be solved when integrating … The How and Why of ID UnificationRead more
Understanding Data Fusion: The Challenges and A Way Forward
Data fusion, the art of merging information from multiple sources to create sophisticated models, presents significant … Understanding Data Fusion: The Challenges and A Way ForwardRead more
How to Activate Customer Data in Business
To meet growing consumer expectations in a digitally-driven world, companies are dealing with large amounts of … How to Activate Customer Data in BusinessRead more