Search is Dead, Long Live Search!
This article is more about building better LLM and GPT-like applications, than search. Yet most people use GPT as a substitute for search. Indeed, OpenAI… Read More »Search is Dead, Long Live Search!
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Data Trends
This topic identifies multiple trends within business, technology, or society that have an impact upon data science.
Unlocking team productivity: Integrating data analytics into your Slack workflow
In a technology of rapid digital transformation, leveraging records analytics and collaborative tools may be a sport changer. One such integration that is proving to… Read More »Unlocking team productivity: Integrating data analytics into your Slack workflow
How data science is reshaping diverse industries
How do some industries seem to have cracked the code for success? It’s not luck—it’s the power of data science that changes the game. Whether it’s… Read More »How data science is reshaping diverse industries
Real-time analytics with database streaming services: Harnessing data velocity
In the short-paced landscape of information-driven decision-making, actual-time analytics has come to be paramount for corporations seeking to benefit from insights at the rate of… Read More »Real-time analytics with database streaming services: Harnessing data velocity
Operational, real-time edge analytics for developers
Interview podcast with Rahul Pradhan, VP of Product and Strategy at Couchbase Operational and analytics systems are coming together with the help of new database… Read More »Operational, real-time edge analytics for developers
Beyond LLMs and Trillion-Parameter Models
These days, it is as if AI is just about GenAI (generative AI), LLMs (large language models) and very large models. It has eclipsed computer… Read More »Beyond LLMs and Trillion-Parameter Models
Difference between modern and traditional data quality
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
Artificial Intelligence: Making waves in the stock market
Stock trading is an industry that has greatly benefited from artificial intelligence (AI). AI algorithms in stock trading have enabled traders to make better decisions… Read More »Artificial Intelligence: Making waves in the stock market
Data-driven insights: Improving remote team performance with time-tracking analytics
The way we work has changed, with remote teams now a common part of the landscape. While remote work offers flexibility, it also brings challenges.… Read More »Data-driven insights: Improving remote team performance with time-tracking analytics
Modern data quality management
Modern Data Quality refers to the process of ensuring that data is accurate, reliable, consistent, and up-to-date in today’s data-driven environment. It involves implementing advanced… Read More »Modern data quality management