Exploratory Programming (EP) is a dynamic approach in data science that influences how data optimization is conducted and leads to innovative solutions.
OpenAI's ChatGPT has quickly gained popularity and reached 100 million monthly users. However, users must avoid over-reliance on ChatGPT and maintain human judgment.
The development and use of intelligent computer systems capable of doing activities that normally require human intelligence is referred to as AI technology.
Learn about CPU vs. GPU intensive applications and why each is best suited for particular tasks. We explain parallelization, Amdahl’s Law, and how these concepts affect whether to use a CPU, GPU, or both for your application.
The fundamental components of real-time analytics are event streaming and a specialized database that can manage large amounts of data in less than a second.
The security of IoT networks is a challenge that needs to be addressed at a global scale. This blog will uncover some risks associated with IoT network security.
The art of creating rule-based prompts for ChatGPT is accelerating the development of apps and services for any industry, and in this article, I share how to do it.
In this detailed article, you will learn how to carry out data ingestion and analysis using Azure Synapse Serverless SQL Pool along with sample datasets.
As machine learning (ML) is revolutionizing an enterprise's digital transformation, the path to successful ML implementation comes with its own set of challenges.
Like the calculator, the spreadsheet, and the internet, AI-driven LLM tools are likely to change HOW we do our work, but not the fact that humans will still be the ones doing the work in the first place.
The third article of this series presents a deep-dive into how efficiently we can use Snowflake tables and warehouses and how data sharing occurs across accounts.