Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...

banking

Hadoop in Banking: Changing the Game

 The reason for Hadoop’s success in the banking and finance domain is its ability to address various issues faced by the financial industry at minimal cost and time. Despite the various benefits of Hadoop, to apply it to a particular problem needs due diligence. Some of the scenarios in which it is used are: Fraud

How bad data can lead to good decisions (sometimes)

 Before companies can profit from big data, they often must deal with bad data. There may indeed be gold in the mountains of information that firms collect today, but there also are stores of contaminated or “noisy”...

Predictive Analytics, a game changer for transaction banking

 Transaction banking has made huge strides in recent years. The easy availability of new technologies has improved operating efficiencies and accuracy. Apart from this, the speed of transactions has also increased remarkably. The volume of transaction banking...