Experienced data scientists will find it helpful to think of hybrid cloud environments as a kind of high-tech ecosystem—complex and full of pitfalls that could… Read More »5 critical metrics every data scientist should monitor in hybrid cloud environments
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.
In 2024, companies all around the world are on a relentless quest for innovative solutions to leverage vast amounts of information and elevate their interactions.… Read More »What are the benefits of using Natural Language Processing (NLP) in Business?
The momentum around Generative AI in MarTech is undeniable. A staggering 63% of marketing leaders are signaling their intention to invest in this innovative technology… Read More »MarTech Trends: Capitalizing on the rising GenAI excitement for business ROI growth
2024 is the year of great data science predictions targeting big business churn. It is the time to yield benefits from the popular data science… Read More »10 Prominent Data Science Predictions 2024- Know What the Industry Experts Say?
Image by 10302144 from Pixabay Eric Baum in his book What Is Thinking? defines understanding as “a compressed representation of the world.” Another word for… Read More »A neurosymbolic AI approach to learning + reasoning
Image by Ahmad Ardity from Pixabay The good news is that the data science community is taking more of an interest in knowledge graphs lately.… Read More »What data scientists overlook when it comes to knowledge graphs
Mastering E-commerce data governance: Best practices, challenges, and future trends for quality, compliance, and growth
Data governance is more important than ever in e-commerce, where massive amounts of data are generated and processed daily. Big Data presents opportunities and challenges… Read More »Mastering E-commerce data governance: Best practices, challenges, and future trends for quality, compliance, and growth
Artificial intelligence and machine learning applications have been revolutionizing many industries for the last decade, but due to generative AI models like ChatGPT, Bard, Midjourney,… Read More »Choosing the right technique: Prompt engineering vs fine-tuning
It’s always wise to craft a killer data science portfolio if you want to get noticed in this increasingly competitive and in-demand niche. Of course,… Read More »How to build a robust data science portfolio from scratch
Use cases show that on-package accelerators benefit HPC/AI workloads from computation to data movement and security
Customer success stories illuminate how hardware accelerators speed necessary infrastructure to support all aspects of an accelerated AI and HPC computing datacenter.