There is a recent paper in Synthese, Qualia share their correlates’ locations, where the abstract stated that “This paper presents the location-sharing argument, which concludes… Read More »Sentience: Consciousness is inessential for LLMs, AI
In October 2022, the White House Office of Science and Technology Policy published “The Blueprint for an AI Bill of Rights: Making Automated Systems Work… Read More »AI is a child: How do we raise it?
With the introduction of ChatGPT-3 and DALL-E2, the majority of investors started showing interest in businesses building generative AI. Moreover, the fact is generative AI… Read More »Innovations in predictive analytics: ML and generative AI
In today’s tech-driven world, data is like gold. It’s becoming more and more common for companies to use real-time, or live, data to make informed… Read More »How to manage real-time data in the digital age
Modern data quality practices make use of new technology, automation, and machine learning to handle a variety of data sources, ensure real-time processing, and stimulate… Read More »Difference Between Modern and Traditional Data Quality – DQLabs
The most common question in people’s minds that are not from a technical background is how much coding is required to ace a data science… Read More »How much coding is needed in a data science career?
Electronic Data Interchange (EDI) can be traced back to the late 1960s and early 1970s when businesses began to seek more efficient ways to exchange… Read More »Leveraging AI for smarter electronic data interchange
There is a recent interview, The Ethical Puzzle of Sentient AI, where a professor said, “But there’s also the problem that I’ve called the ‘gaming problem’… Read More »LLMs: Does human text data make generative AI an entity?
The modern enterprise is insight-driven, or, at least, aims to be. Historically, those insights were found in a data warehouse or data lake, populated with… Read More »Examples of real-time analytics
