Data observability vs data quality
As companies gather seemingly endless data streams from an increasing number of sources, they start to amass an ecosystem of data storage, would-be end-users, and… Read More »Data observability vs data quality
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Data Management
The Importance of Data Engineering for a Profitable App Development
High-quality app development can significantly drive your business growth and success while boosting customer satisfaction and bringing in more clients. However, with millions of apps… Read More »The Importance of Data Engineering for a Profitable App Development
How does a beginner become a data analyst?
In this data-driven age, the role of a data analyst has never been more critical. The role of a dataanalyst is more important than ever… Read More »How does a beginner become a data analyst?
Modern data quality approach
An organization with 1000 employees, in 2022, has an average of 177 SaaS applications. Most of these applications store data relevant to their needs, However,… Read More »Modern data quality approach
The Dean Meets Socrates: Mastering the Art of Questioning
Sometimes science fiction becomes science fact. Maybe this evitable meeting of minds was bound to happen. In the movie “Bill & Ted’s Excellent Adventure,” Bill… Read More »The Dean Meets Socrates: Mastering the Art of Questioning
AI for Everyone: Learn How to Think Like a Data Scientist – Part 1
Warning: very long, 2-part blog series. But this topic is too important to not carefully explain how we can educate and empower everyone to participate… Read More »AI for Everyone: Learn How to Think Like a Data Scientist – Part 1
Challenges of Contact Tracing in a Post-COVID World
As the world slowly emerges from the COVID-19 pandemic, contact tracing remains critical in preventing the spread of infectious diseases and managing potential outbreaks. Throughout… Read More »Challenges of Contact Tracing in a Post-COVID World
3 Relevant ML Algorithms Commonly Used in Commercial AI Projects
Over the years of working on commercial AI projects, I have come across various products and business domains that have adopted machine learning algorithms. This experience helped me form some best practices for selecting the right algorithms for different types of business tasks. In this article, I will share some valuable insights from my experience regarding how to work with them in the most efficient way to meet the client’s business needs.
VM Data Protection: Automate VM Backup and Replication in a Few Clicks
Modern IT companies widely use virtualization due to advantages such as scalability, rational consumption of resources, and convenient backup. This article explains how Policy-Based Data… Read More »VM Data Protection: Automate VM Backup and Replication in a Few Clicks
Digital Healthcare Trends: Emergence of Automated Data Entry in Healthcare
Delve into digital healthcare trends and examine how automated data entry is revolutionizing patient data management, decision-making, and care delivery.