Ashok Gorantla

CORE

Associate Director at Verizon Communications

Joined Dec 2023

About

Ashok serves as Associate Director at Verizon, where he leads in creating technological advancements and building smart systems through AI/ML and low code/no code platforms. His work includes developing AI/ML algorithms and utilizing predictive and adaptive analytics to improve customer experiences across Verizon’s various business units. His background includes significant contributions to the Telecom and healthcare industries, particularly in customer service and care management systems. Ashok is also a respected researcher who contributes to IEEE, Scopus, and SCI journals, and a published author of books on Artificial Intelligence and its application in Healthcare. Besides his corporate and academic achievements, Ashok plans to venture into entrepreneurship with the aim of harnessing AI and technology to enhance healthcare outcomes. He holds a Master's degree in Computer Science from Georgia Tech.

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Articles:	8
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Articles

Articles

A Comparative Exploration of LLM and RAG Technologies: Shaping the Future of AI

Follow a comparative journey between LLM and RAG, shedding light on their mechanisms, applications, and the unique advantages they offer to the AI field.

April 24, 2024

· 21,076 Views · 6 Likes

Exploring the Frontiers of AI: The Emergence of LLM-4 Architectures

Explore LLM-4 AI models: advanced AI with improved language understanding and diverse applications, emphasizing ethical use and innovation.

March 22, 2024

· 33,002 Views · 6 Likes

Exploring Text Generation With Python and GPT-4

Learn to generate human-like text with GPT-4 using Python. Explore AI's potential and ethical considerations in text creation.

February 26, 2024

· 18,601 Views · 6 Likes

Building and Deploying a Chatbot With Google Cloud Run and Dialogflow

Learn to build and deploy a chatbot using Dialogflow and Google Cloud Run for dynamic, scalable user interactions.

February 5, 2024

· 14,266 Views · 5 Likes

AI Fairness 360: A Comprehensive Guide for Developers

AI Fairness 360 helps developers create ethical, unbiased AI models by providing fairness metrics and bias mitigation methods.

January 11, 2024

· 14,833 Views · 7 Likes

Transforming Telecom With AI/ML: A Deep Dive Into Smart Networks

AI and ML are transforming telecom, optimizing networks, enhancing customer experience, and detecting fraud.

December 28, 2023

· 16,652 Views · 8 Likes

Extending Q-Learning With Dyna-Q for Enhanced Decision-Making

Explore Dyna-Q, an advanced reinforcement learning algorithm that extends Q-Learning by combining real experiences with simulated planning.

December 22, 2023

· 18,444 Views · 7 Likes

Revolutionizing Stock Trading With AI and ML: Opportunities and Challenges

AI/ML transforms stock trading with predictive analytics, efficiency, and challenges in market adaptability and ethics, plus a Python example.

December 13, 2023

· 10,470 Views · 6 Likes