CDO Challenge: Providing Clear “Line of Sight” from Data to Value
The end of year always leads to lists of the most impactful technologies from the previous year and projections as to the most impactful technologies for the next year.&n...
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Notable enterprise data trendsetters, 2002 – 2022
As a former tech trends forecaster, I’m always pondering what we could achieve and how a better understanding of history could help us navigate the decades in front of ...
Mastering the Data and Analytics Innovation Index
We are already seeing a handful of organizations who are actively exploiting the unique economic characteristics of data and analytics – digital assets that not only ca...
Data Monetization Approach for B2B2C Industries
Most of the Big Data, Data Science and AI / ML success stories seem to revolve around Business-to-Consumer (B2C) industries. The companies that we see leading the econo...
Are Data Meshes Really Data Marts with Conformed Dimensions?
Okay, so I am still confused by the concept of a Data Mesh (I’m a slow learner). Recently, I wrote a blog that posed the question: Are Data Meshes the Enabler of the Ma...
What is a Data Management Platform?
Introduction With the explosion of digital media and the resultant avalanche of constantly increasing user data being created and collected daily, businesses, institution...
Scraping Data from Google Search Using Python and Scrapy
Scraping Google SERPs (search engine result pages) is as straightforward or as complicated as the tools we use. For this tutorial, we’ll be using Scrapy, a web scraping...
Using Cloud and AI Technologies to Make Data Driven Decisions For Monetization
The exchange of data between corporations is known as data monetization. It is the process of earning income or creating new revenue streams by utilizing data, which is e...
Outsourcing Data Annotation Work
The discipline of data annotation and labeling is growing in popularity and significance throughout the world. The global market for data annotation tools is expected to ...
Top 7 Reasons Data Scientists Should Know Java Programming Language
Java is the #1 programming language for Big Data, Analytics, DevOps, and AI. It is consistently the first choice for developers working with data. The platform-independen...