Blogs

Netvizz is a cool tool which can export your Facebook data in a format which makes it easier to visualize or do a network analysis offline. There are other apps available on the Facebook platform which perform this using predefined bounds within the app itself but what I like about Netvizz is that it allows you to extract this information and play with it using any tool you are comfortable with like R, Gephi etc. This sort of visualization is a core of Social network analysis systems. I spent some time to play around with my Facebook network information over the weekend. I extracted out my network using Netvizz. It gives a GDF file with all the necessary information and can be imported into Gephi directly. The idea was to see how much the Facebook visualization of my friend network compares with my real life network. I do understand that the online world and the offline world social networks differ but on a massive system like Facebook my guess was that it should mirror my real life network much more realistically. I built the network and used the community detection algorithm and did a ForceAtlas2 layout. This is the network visualization I ended up with after tweaking a few things. The network diagram is both surprising and a bit scary. ...

http://www.slideshare.net/pradeep_loganathan/globalization-strategy-walmart

Strategy helps an organization position itself uniquely in order to create value and exploit the unfolding opportunities , hedge against threats, leverage strengths and remove weaknesses. Strategy execution has two components namely the action planning to operationalize the core strategy and its physical implementation. Strategy execution is one integrated in which action planning and physical implementation are integrated in real time basis. High quality execution presupposes high quality action planning , assigning the right people for the right jobs, adequate follow through and robust MIS and review processes. Strategy execution involves the optimal balancing of seven key variables namely Strategy, Structure, Systems , Staff, Skills, Style and Shared values. Strategy execution is the key role of the business leader. This execution is a discipline and must be learned specifically. The primary areas are ...

In the new business environment customers are not just demanding but they also have infinite options. Competition is not just intensifying but there are new sources of competition. Resources too are not just limited but they are fluid and move fast. Investors are impatient and look at above average returns consistently and constantly. Huge opportunities coexist with massive risks. An organization must think and act differently and smartly to face the new environmental context. Strategy derived through the strategy process is what makes the organization stand apart from ”also rans” and perform differently. ...

Agentic AI with Akka (Java): A 16‑Part Blog Series & Book Plan Goal: Author a cohesive blog series that can be compiled into a book. The series teaches readers to design, implement, and operate production‑grade agentic systems using Akka (Java), with optional Python stubs where helpful. Each post includes runnable code, diagrams, and a clear learning objective. Table of Contents Part 1 — Foundations of AI Agents ...

Introduction The Business Challenge: Traditional loan approval processes are slow, error-prone, and rely on outdated data. Manual reviews and data silos create bottlenecks and hinder decision-making. Businesses need a way to quickly analyze vast amounts of loan data and make accurate predictions in real-time. The In-Database ML Solution: In-database machine learning (ML) with Greenplum leverages the power of your existing data warehouse to build and deploy ML models. This eliminates the need to move data out of the database, resulting in faster model training and scoring. Greenplum’s MPP architecture enables parallel processing, accelerating ML tasks and providing real-time insights. Why Greenplum for In-Database Machine Learning? ...

Blog Post Series: Building a Logistic Regression Model with Greenplum, MADlib, and pgvector Part 1: Introduction to In-Database Machine Learning with Greenplum, MADlib, and pgvector Title: “Introduction to In-Database Machine Learning with Greenplum, MADlib, and pgvector” Summary: Explore the benefits of in-database machine learning with Greenplum. Learn about Greenplum, MADlib, and pgvector, and understand why in-database machine learning is a game-changer. Sections: Introduction Overview of in-database machine learning Benefits of in-database machine learning Key Technologies ...