McDonald's has decided to discontinue its use of IBM's AI-powered voice ordering technology at its drive-thru kiosks. Initially implemented in over 100 restaurant locations, the fast food giant is now seeking alternative voice AI solutions from other vendors. This strategic move aligns with
Sentiment Analysis has become a cornerstone of Natural Language Processing (NLP), advancing our ability to unpick the emotional undertones woven into the fabric of written and spoken language. In its essence, sentiment analysis is the computational interpretation of feelings expressed in text. The
The integration of artificial intelligence (AI) into speech-to-text (STT) technology has created a tidal wave of change, transforming how we interact with machines and enhancing our ability to document spoken words. Through the use of advanced machine learning algorithms and natural language
The Genesis and Evolution of Natural Language Processing The journey of NLP began in the simplicity of the mid-20th century, with early systems primarily driven by crafted linguistic rules. These rudimentary underpinnings of NLP relied heavily on rule-based logic that required painstaking
Artificial Intelligence (AI) is fundamentally altering the way data storage management operates across various industries. By bringing advanced analytics, predictive capabilities, and improved security features to the forefront, AI is not only accommodating the current influx of massive data but
Deploying AI models need not be overwhelming, even when a project moves from the developmental phase to a stage where it's ready for production. Tackling this transition requires the appropriate methodologies and tools for an effective deployment. This article outlines a streamlined process for
