Leveraging AI for smarter electronic data interchange
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 data electronically. ...
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LLMs: Does human text data make generative AI an entity?
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 pr...
Examples of real-time analytics
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 scheduled feed...
AI ushers in a new era of mental health monitoring
AI Ushers in a New Era of Mental Health Monitoring Important Data Points: AI’s Role in Mental Healthcare Transformation – It can be safe to say that AI is driving...
Data science vs web development: What’s the difference?
If you’ve spent any time in the tech community in the last few years, you’ll have noticed the recent explosion in interest in both data science and web development. Y...
Next-Gen Data Scientist: Thinking Like an Economist
Generative AI (GenAI) products like OpenAI ChatGPT, Microsoft Bing, and Google Bard are disrupting the roles of data engineers and data scientists. According to a recent ...
How Do Companies Use Artificial Intelligence?
By now, AI-based tools have totally changed the way companies operate across all industries. The use of AI in them to streamline operations, make informed decisions, and ...
Data modeling techniques in modern data warehouse
Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especial...
A Detailed Guide for Data Handling Techniques in Data Science
Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, ...
AIOps above the radar – Using AI to monitor your AI infrastructure
When an enterprise project is low-profile (“below the radar”), then it is not likely to be the target of bad actors. Similarly, if some part of that project’s infra...