BRIDGEi2i Infographic – Purchasing Power of Women

We asked the AI experts at BRIDGEi2i to list out their favorite AI-intensive movies that have the perfect blend of AI bots, high-tech processors, supercomputers and twisted human emotions.

With continued expansion of advanced analytical techniques and practices, one aspect often overlooked is the power of data representation. Visualizations, when done correctly, can re-emphasize strong trends and provoke deeper thought on the subtler ones.

Consider a simple problem Insurance sector problem of recommending a product to a potential customer. The recommendation is based on certain customer attributes, similar to predictive analytics in target marketing.

This webcast is a recording of the recently conducted BRIDGEi2i Webinar – The Evolution from Model Validation to Model Governance for Banks

BRIDGEi2i Industry Experts, Anand Melige and Ashish Sharma discussed the growing importance of model risk management and the needs and challenges of decision makers in financial institutions in the present scenario.

I have had the good fortune of having met many executives who have made the leap across the divide from…

A US-based client in the education industry wanted to analyze its learning centres across the USA and improve overall occupancy rates by optimizing number of centres, and increasing conversion rates and retention among high value customers.

The world is moving towards quantification of customers, quantifying every aspect of customer experience however great success stories still stems from the fact how your customers feel about your product. We can easily define customer loyalty as a metric of success, but …

Earlier fleet management used to be a static process, companies were largely in the dark as to the location of their vehicles and mostly depended on the data which is manually entered by the vehicle operator. Now with the advancement in technology, vehicles are fitted with GPS navigation system and…

Corporates and Banks base their important decisions on data, such as to make profit, reduce cost or save themselves from making loss. They need to take many crucial decisions with respect to:

Investing in a new venture.
Choice of consumers to target in a direct marketing campaign
Identifying fraudulent credit card transactions in real time.
Answers to all the above business decisions are either a “Yes” or “No”. For example “Yes” to invest in a new venture, “Yes” to target a consumer, “Yes”, the credit card transaction is fraudulent.

Take a look at the tourism trends in one of the most happening holiday destinations in the world – Brazil!

Supply Chain & Logistics, Optimization and Analytics have been birds of the same feather flocking together since the beginning of time. However, while data had been generated at every link of the Supply Chain for decades, it is only…

The HR space has traditionally been driven by Industry Best Practices. The likelihood of People Practices or Initiatives getting approved by the Management also increases manifold if one can show instances of the same being practiced by the market leaders or the competitors.

But how fruitful is such an approach? Does it always achieve the desired results? In the quest to adhere to best practices, can a more effective Initiative/Intervention be left out?

The opening line of Charles Dickens’ “The Tale of Two Cities” said: “It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, …

Because we have Big Data now, we have countless gigabytes of information about when customers shop, what they buy and what they look at. However that is not the solution to the Ritz’s problem or to your understanding of your customers. Why?

Data-driven decisions are increasingly becoming pervasive within enterprises. While most companies agree on the need for analytics in critical decision-making process, they are often in a dilemma whether to build an analytics team internally or outsource some of their analytics tasks. Building a fully-functional analytics team within a company can be complex and time consuming. Organizations need to evaluate the prospects of collaborating with a specialist managed analytics services provider to gain faster and impactful insights.