- By Partha Sen
For those who hit the “snooze” button on earlier Big Data wake-up calls, consider this your espresso shot of information: Our society creates as much data in two days—approximately five exabytes of data—as all of civilization did prior to 2003. In light of that statistic, maybe they should change Moore’s Law to A Little Moore’s Law out of respect.
The Current Challenge: Too Much, Too Late
A few examples illustrate the magnitude of today’s data challenge. If an average-sized healthcare insurer (with approximately 30 million customers) wishes to improve the outcomes for diabetic patients, they may need to analyze more than 60,000 medical codes across 10 billion claims and factor a separate silo of pharmacy data into the equation. The challenge is no less daunting in other ind
📣 Want to advertise in AIM? Book here
Partha Sen
A passion for solving complex business problems using quantitative methods, data mining and pattern recognition began as a hobby before leading Partha Sen to found Fuzzy Logix and develop its flagship product, DB Lytix, in 2007. Before Fuzzy Logix, Partha held senior management positions at Bank of America where his achievements included leading the initiative to build a quantitative model driven credit rating methodology for the entire commercial portfolio. In the portfolio strategies group, Partha led a team to devise various strategies for effectively hedging the credit risk for the bank’s commercial loan portfolio and for minimizing the impact of mark-to-market volatility of the portfolio of hedging instruments.
Related Posts
India’s Data Centre Boom Is Running Into a Talent Wall
With capacity expected to more than double this decade, the industry is investing in training as graduates struggle to meet
This Firm Wants to be the ‘Next Big Disruptor’ in Networking
Arrcus positions itself as a horizontal software layer that can run across different types of networking hardware.
Will 2026 be the year of AI IPOs?
With CoreWeave’s listing and Fractal Analytics going for an IPO, an array of AI companies are now looking to raise
Fighting Deepfakes May Not Be a Technology Problem
Defenders must be active at all times, while attackers need only one opportunity.
India’s Data Centre Expansion Is Decentralising
Without compute buildup beyond metros, the next wave of digital adoption will be constrained
How Mumbai Keeps Winning India’s Data-Centre Race
Land prices are among the highest in the country, but total build economics remain competitive by global standards.
From Shortages to Scale, io.net’s Approach to Rewriting AI Compute Access
A decentralised GPU marketplace may scale AI compute faster than traditional clouds, as GPU demand towers over supply
Why Deloitte Built a Tax AI That Knows When to Say ‘I Don’t Know’
The company has launched an agentic AI platform for tax research that’s targeting something radical in a conservative profession.
Download the easiest way to
stay informed
stay informed
