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Dr Venugopala Rao Manneni
Dr Venugopala Rao Manneni

Dr Venugopala Rao Manneni

Learner, Practitioner & Teacher

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Author: Venugopal Manneni

The Evolution of Analytics: From Hard-Coded Scripts to Conversational AI

March 15, 2025
Venugopal Manneni
Uncategorized

In the ever-evolving landscape of analytics, the way we conduct data analysis has transformed dramatically over the years. As technology progresses, so does the way we interact with analytical tools, making them more accessible, efficient, and intelligent. This transformation can

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Transforming Healthcare with Gen AI: Enhancing Efficiency and Patient Care

February 7, 2025
Venugopal Manneni
GENAI

The integration of Generative AI (Gen AI) in healthcare is revolutionizing how providers and patients interact, enhancing efficiency and care quality. From appointment scheduling to personalized education materials, Gen AI is making significant strides in various areas. Here’s a summary

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Harnessing Multi-Agent Systems for Innovations in Pharma and Healthcare

January 7, 2025February 7, 2025
Venugopal Manneni
GENAI

In an era where technology is reshaping every industry, pharma and healthcare are no exceptions. Multi-Agent Systems (MAS) are at the forefront of this revolution, offering promising solutions that could streamline operations, enhance patient outcomes, and facilitate real-time decision-making. Let’s

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Unlocking the Future: How Multiagent Systems Mirror Human Intelligence Using Advanced AI Concepts

December 9, 2024February 7, 2025
Venugopal Manneni
GENAI

In the rapidly evolving landscape of artificial intelligence, one of the most groundbreaking advancements is the development of multiagentic systems. These sophisticated systems emulate human intelligence by perceiving, processing, acting, and learning from feedback. Leveraging the robust principles of Large

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Generative AI Glossary

November 30, 2024February 7, 2025
Venugopal Manneni
GENAI

1. Generative Model: AI models that can generate new data points by learning patterns from existing data. 2. Transformer: A neural network architecture utilizing self-attention mechanisms to process and generate sequences, such as text or images. 3. Latent Space: A

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Unraveling “What” and “Why” in Data Science: Phases and Their Importance

November 4, 2024February 7, 2025
Venugopal Manneni
GENAI

In an era dominated by explosive technological advancements, data science has emerged as a cornerstone in deriving valuable insights from massive datasets. As we navigate through its multifaceted nature, it’s crucial to explore the roles of “what” and “why” at

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The Need for Creating Mind Maps for Quick Understanding of Data

October 13, 2024October 13, 2024
Venugopal Manneni
GENAI

NEED In today’s fast-paced world, the need to grasp information quickly is more important than ever. With data becoming increasingly complex, having a clear visual representation can help make sense of it all. One powerful way to do this is

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“Unpacking the Roles of LLMs, Retrieval-Augmented Generation, and Agents in Modern AI”

October 6, 2024October 6, 2024
Venugopal Manneni
GENAI

In today’s information-driven world, technology is evolving rapidly to help us manage, understand, and act on the overwhelming volume of data available. Among the most transformative advancements are Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous agents. But how

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The Need for Causal Inference in Real-World Data for Pharma

August 13, 2024October 13, 2024
Venugopal Manneni
Causal Inferance

NEED In the pharmaceutical industry, the demand for deeper insights into treatment effectiveness and patient outcomes has driven a significant interest in causal inference, particularly using real-world data (RWD). Unlike clinical trials, which are often limited by controlled environments and

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Leveraging AI Agents for Mind Maps and Diagrams: Enhancing Understanding in the Information Age”

June 6, 2024October 6, 2024
Venugopal Manneni
GENAI

Introduction In today’s information-rich era, researchers, students, and professionals are constantly overwhelmed by the sheer volume of data they need to process. From academic research papers and technical documentation to online educational resources, it can be increasingly difficult to keep

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About Me

 

A doctor in statistics from Osmania University, Venugopala Rao Manneni is an experienced data analyst who has over 15 years of work experience in a diverse areas of verticals such as manufacturing, service, media, telecom, retail, pharma and education. Prior to Juxt-Smart Mandate, he has worked with reputed organizations like TNS India (Kantar, WPP) and NFO MBL and served clients across UK, France and Asia Pacific region… read more

Recent Post

  • The Evolution of Analytics: From Hard-Coded Scripts to Conversational AI
  • Transforming Healthcare with Gen AI: Enhancing Efficiency and Patient Care
  • Harnessing Multi-Agent Systems for Innovations in Pharma and Healthcare
  • Unlocking the Future: How Multiagent Systems Mirror Human Intelligence Using Advanced AI Concepts
  • Generative AI Glossary

Stay in Touch

 

venugopal.manneni@gmail.com

www.linkedin.com/in/statsvenu

twitter.com/statsvenu

github.com/drstatsvenu

Dr Venugopala Rao Manneni
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