written by Smita PalveSeptember 30, 2025 Artificial intelligence has experienced several paradigm shifts, including expert systems, machine learning, narrow AI, and generative AI. Today, there exists yet another paradigm shift in front of us: Agentic AI. Generative AI gained worldwide prominence because of its ability to generate text, images, and code, while agentic AI goes one
written by Smita PalveSeptember 26, 2025 In the world of digital transformation, you hear the term ‘workflow’ constantly. When artificial intelligence (AI) comes into play, a workflow goes from being a straightforward workflow to a more powerful, intelligent, adaptive workflow that makes decisions in real-time. That’s the essence of AI workflow. Unlike traditional workflow automation with
written by Smita PalveSeptember 24, 2025 Why This Distinction Matters: Clarity Over Confusion The buzz surrounding artificial intelligence tends to overshadow the launch of automated intelligence. While both technologies are good for advancing business outcomes, they are governed by different principles. Automated intelligence optimizes workflows and decision-making through analytics and automation; artificial intelligence applies adaptive cognitive
written by Smita PalveSeptember 12, 2025 As someone who’s spent over a decade watching artificial intelligence evolve from science fiction to boardroom reality, I can tell you that we’re living through one of the most exciting technological revolutions in human history. Today, artificial intelligence automation isn’t just changing how we work but it’s really redefining what
written by Smita PalveMay 22, 2024 Introduction Defining Continuous Learning in AIContinuous learning refers to the ongoing process of acquiring new knowledge and skills throughout one’s professional life. In the context of artificial intelligence (AI), machine learning (ML), and deep learning (DL), continuous learning is essential to keep pace with the rapid advancements in technology and
written by Smita PalveApril 24, 2024 Welcome to The Data Tech Labs blog! Today, we’re delving into a critical aspect of engineering: data quality assurance. In an increasingly data-driven world, ensuring the accuracy and reliability of data is paramount. Let’s explore why data quality assurance is crucial in engineering and how it contributes to overall success.
written by Smita PalveApril 23, 2024 Welcome to The Data Tech Labs blog! Today, we’re diving deeper into the critical realm of data preprocessing and its pivotal role in machine learning (ML) and deep learning (DL). Data preprocessing encompasses a series of steps aimed at cleaning, transforming, and organizing raw data into a format suitable for
written by pravin GhugeApril 11, 2024 In the realm of artificial intelligence (AI), prompt engineering and generative AI training are paving the way for groundbreaking advancements and innovation. As businesses across industries increasingly rely on AI-driven solutions, investing in comprehensive training programs is essential to unlock the full potential of AI development. At The DataTech Labs,
written by pravin GhugeApril 5, 2024 In today’s rapidly evolving technological landscape, expertise in Artificial Intelligence (AI) with Machine Learning (ML) and Deep Learning (DL) has become increasingly valuable. At The DataTech Labs, we offer a comprehensive AI with ML & DL Certification program designed to equip individuals with the skills and knowledge needed to excel
written by pravin GhugeMarch 30, 2024 In today’s data-driven world, Machine Learning (ML) and Deep Learning (DL) have emerged as powerful techniques for building intelligent systems that can analyze data, extract insights, and make informed decisions. At The DataTech Labs, we understand the importance of mastering ML and DL techniques for driving innovation and solving complex
