After playing with GPT for some time, testing GenAI vendor solutions, designing my own, and reading feedback from other users, I uncovered a number of… Read More »Towards Better GenAI: 5 Major Issues, and How to Fix Them
This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
Data analysts must have a strong grasp of practical data visualization skills to paint a clear picture of complex data for a broader audience. Seeing… Read More »Beyond the numbers: The soft skills that elevate data analysts to the next level
Modern data quality practices leverage advanced technologies, automation, and machine learning to handle diverse data sources, ensure real-time processing, and foster collaboration across stakeholders. They… Read More »Difference between modern and traditional data quality
In the last two years, I published 5 machine learning and AI books, including one on synthetic data by Elsevier. This represents over 800 pages… Read More »New Book: Statistical Optimization for GenAI and Machine Learning
Effective data management is critical to any organization’s success in today’s data-driven world. With the exponential growth of data, businesses need to implement robust strategies… Read More »Mastering data management: Efficient strategies for success
Seamless integration of data from unconventional source systems into Business Intelligence using data science techniques
Written by Venkata Nori and Kshitij Gopali. Introduction As technology is evolving, most companies in the world are adopting advanced mechanisms for their daily tasks… Read More »Seamless integration of data from unconventional source systems into Business Intelligence using data science techniques
How data science and medical device cybersecurity cross paths to protect patients and enhance healthcare
A recent interview by Medical Device Network with GlobalData medical analyst Alexandra Murdoch shares interesting insights into cybersecurity for medical devices.
In the contemporary digital landscape, data has emerged as a critical asset for organizations aiming to make informed decisions and foster innovation. Data analytics can… Read More »Understanding the difference: Data analyst, data scientist, and data engineer
This cutting-edge area of AI focuses on building models that can create original material, including music, images, text, and even entire virtual worlds.