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Introduction
This video and article explores why data science, analytics, and AI are among the best career choices for 2025 and beyond. It covers:
- Career opportunities in these fields.
- Job market demand for the next 10-15 ...
watch full video here
Introduction
The video and blog explains the differences between analytics, data science, machine learning (ML), artificial intelligence (AI), and related fields. It also covers their historical evolution, overlaps, and intera...
“Whoever becomes the leader in AI will become the ruler of the world.” — Vladimir Putin
In this rapidly evolving era, the race for AI supremacy has intensified, with China and the United States at the forefront. While Russia lags this race when Puti...
Predicting uncertainty and finding disruptive trends has been source for competitive edge and often deciding factor for survival of organizations. Disruptions are very different from incremental innovation, change, optimization or even transformation...
In today's rapidly evolving landscape, most organizations are jumping on the AI bandwagon to avoid the risk of becoming obsolete like the dinosaurs of old. According to NewVantage Partners survey- 83% of companies have appointed a CDO or chief data a...
The ideas presented in this article draw inspiration from a paper authored by Douglas Mirsky, published by the International Institute for Analytics (IIA). The paper draws parallels between the “production, usage, and consumption of data in an organi...
As we learned in part -I of article "Choosing the right data architecture" , the choice depends on the organization's goals, resources, and data maturity level. Most common architectures used in majority of organizations fall loosely between Data war...
Data growth has been exponential in recent years due to the proliferation of digital devices and the increasing use of the internet, cloud computing, and connected devices coupled with declining cost of storage. With cheaper storage costs, individual...
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