Ontology is the philosophical study of existence, being, and reality. In other words, ontology is the investigation of the most basic categories of things and how they are related to one another.

There are measures in terms of processes, people and technology that an organization would need to take in order to untangle the data hairball.

Data Science, is the most in-demand nowadays because the industry is growing quickly in that field, and it is also a career path for the majority of skilled professionals.

Fundraising organizations can use Sentiment Analysis to fully comprehend how prospects and donors feel about their brand and experience.

Data-driven decision-making is the practice of using insights derived from the data to make a better decision!

A data-driven approach to fundraising. How do fundraisers use data? Fundraising metrics to help boost donations and success strategies.

Simply said, the optimal use of Big Data is inside systems and processes that decrease data footprints significantly. What are the benefits of reducing your data footprint?

Every business, before jumping on the data collection bandwagon, need to develop a data strategy. Any company that is collecting data without a coherent strategy needs to pause and develop one.

How to Tame Big Data Analytics

The internet vulnerability Log4Shell, which affects millions of machines, is caused by Log4j, an obscure but practically ubiquitous piece of software.

Deep learning, as the fastest-growing field of AI, is enabling significant development in all types of new sectors.

Most large firms are looking at the possibilities of AI/ML, but data science fails to take things to the next level.

Knowledge graphs are comparable to the concept of six degrees of Kevin Bacon with how it forms a network of relationships between two or more entities.

Retail goes hand in hand with machine learning to forecast market trends and pricing, personalize customers’ experience, and keep consumers engaged.

Data First has been defined as an approach that ensures the highest reach of value through the shortest and most convenient delivery time.

Sentiment analysis (or opinion mining) is a natural language processing (NLP) technique used to determine whether data is positive, negative or neutral.

The impact of poor data quality covers widely from internal operations to customers' view which affects the company's reputation.

Business use cases harness data science to help business users to make sense of how Big Data methods can be put to use in their organization.