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Why generative AI safety research is beyond alignment
A way to counter AI risks could be to create AI risks. The question is by who, a non-profit, a corporation, a nation, or a… Read More »Why generative AI safety research is beyond alignment
Key features to consider in data extraction tools
In the fast-paced, ever-evolving world of modern business, harnessing the power of data has become a game-changer, driving informed decisions and establishing a competitive advantage.… Read More »Key features to consider in data extraction tools
From Confusion to Clarity: How AI Simplifies Data Management for Enterprises
The evolution of data management has kept pace with the rapid increase in data generation, and after beginning with straightforward relational databases and ETL, big… Read More »From Confusion to Clarity: How AI Simplifies Data Management for Enterprises
Should you recalibrate your AI roadmap post changes in OpenAI?
Last night’s changes in AI have been seismic post the shock resignation of Sam Altman. It is still early days and these changes will be… Read More »Should you recalibrate your AI roadmap post changes in OpenAI?
Schmarzo and the Value·Nauts: The Journey from Data to Value
The journey from data and AI to value does not start with data or AI. Data and analytics are the new sources of value creation… Read More »Schmarzo and the Value·Nauts: The Journey from Data to Value
Can AI or GPT-4 Answer my $1m Question?
Imagine if GPT-4 could tell traders how to play on the stock market. For instance, using insider information gathered on the Internet, it could produce… Read More »Can AI or GPT-4 Answer my $1m Question?
Beyond the numbers: The soft skills that elevate data analysts to the next level
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
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