Advisory Board Member
AI Forum
March 02, 2021
AI Forum has established an independent, international and multi-disciplinary Advisory Board to provide market feedback and insight. The Advisory Board is comprised of end-users, practitioners and investors from a variety of industries including manufacturing, healthcare, telecommunications, finance, technology and consulting.
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Tags: AI
A Comprehensive Journey Through AI Governance Frameworks
Arockia Liborious
March 01, 2025
In this blog post, we embark on a detailed journey comparing the leading AI governance frameworks - from international standards to India-specific regulations - revealing how they align, where they diverge, and what data leaders must know to navigate this complex terrain.
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Tags: Agentic AI, AI, Generative AI
Open-Source LLMs: Transforming Enterprise AI
Arockia Liborious
January 31, 2024
Balancing Innovation and Control with Open and Closed Large Language Models
The integration of open-source large language models (LLMs) in enterprise settings is becoming increasingly significant these days.
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Tags: Generative AI
A Gentle Introduction to LLM, Part 2
Arockia Liborious
October 17, 2023
Ever wondered how experts make large language models work even better? In this blog, we'll look at how they do just that! We'll see how they tweak models to get the best results, use special techniques to make the models smarter, and guide them to give the answers they want. Think of it like teaching a computer to think and answer in the best way. So, if you're curious about the world of Large Language Models (LLM) and how it all works, come along and let's find out together!
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Tags: Generative AI
A Gentle Introduction to LLM, Part 1
Arockia Liborious
September 18, 2023
The introduction of LLM in the ever-evolving field of technology and artificial intelligence (AI) stands out as a monumental step. These sophisticated AI models are able to comprehend and generate text that resembles human language, bridging the divide between machines and our complex languages. Their emergence is not merely a technological update, but a revolution. LLMs are transforming industries, from customer service to content creation, by streamlining and simplifying interactions. As we stand on the precipice of this new era, LLM knowledge becomes crucial. Learn how this incredible feat is redefining the technological landscape by diving in.
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Tags: Generative AI
Machine Learning Models in Marketing
Scientific International Publishing House
May 10, 2024
This book is
- Designed for everyone, whether you're just starting out or you're a seasoned marketer.
- Comprehensive, Covers everything from the basics to advanced topics in machine learning applied to marketing.
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Tags: AI, Marketing
Fun with machine learning
BPB publications
April 01, 2023
Simplify the Data Science process by automating repetitive and complex tasks using AutoML
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Tags: AI, Analytics, Predictive Analytics
Artificial Intelligence for Business and Finance
Alpha International Publication
August 22, 2022
This book provide a comprehensive exploration into the applications of Artificial Intelligence (AI) within the fields of business and finance. It covers topics such as:
- Foundational AI concepts
- AI in business
- AI in finance
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Tags: AI, Analytics, Finance
Elements of Deep LearningElements of Deep Learning
Scientific International Publishing House
March 18, 2022
This book is divided into five chapters.
- Chapter 1 introduces the concepts of deep learning and also gives a brief history of it. It also provides vou with a simple introduction to neural networks and the mathematica building blocks for them.
- Chapter 2 introduces the idea of machine learning and provides details of neural networks. This chapter provides with detailed step by step operations in machine learning and also introduces various frameworks for machine learning.
- Chapter 3 introduces feed forward neural networks and tensor flow. This chapter takes real life examples to elaborate these concepts. It also deals with the software and hard ware requirements for working with tensor flow.
- Chapter 4 introduces convolutional neural networks (CNN) and their application in computer vision. This chapter provides details of CNN layer and their operations.
- Chapter 5 introduces recurrent neural networks. This chapter provides details of how to train RNNs and what are the different types of RNNs
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Tags: AI, Predictive Analytics
Deep learning for digital pathology using representation learning
PIMT Journal of Research
June 21, 2021
In this paper, a deep learning-based representation learning method for automatically classifying histopathological images is proposed. Two well-known and current pre-trained convolutional neural network (CNN) models, VGG-16, and Inception-v3, have been used for feature extraction
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Tags: Predictive Analytics
Storytelling Through Data
https://krea.edu.in/
September 20, 2020
I shared lessons on the art and science of storytelling through data. Interacting with the students of IFMR GSB, I addressed the need to extract data through simplified processes of information acquisition which can be further transformed into visual depiction. For impactful storytelling, I called for visually appealing data that’s insightful and holds the interest of the audience while addressing the major questions in their minds.
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Tags: AI, Analytics
???????????? ???????? ???????????????? – ???????????????????? ???????????????? ???????? ?????????????????????
Quantic India
March 12, 2025
Here are ???????????????? ???????????? ???????????????????????????????? from the discussion:
???????? ???????????????????????????????? ???????????????????????????????? ???????????????????????????????????? ????????????????????????????????????:
Successful AI implementation hinges on leadership buy-in, robust IT infrastructure, and compliance alignment. Without these enablers, AI initiatives struggle to scale beyond proof-of-concept stages.
???????????????????????????????????????? ???????? ???????????????????????????????? ???????????? ???????????????????????????????????????????? ????????:
AI governance frameworks are necessary to prevent bias, ensure explainability, and establish accountability in decision-making. Transparent and ethical AI use is crucial for regulatory approval and trust-building.
???????????????????????????????????? ???????????????????????????????????????????????? ???????????? ???????? ????????????????????????????????????????????:
Generative AI can enhance productivity but may also cause frustration if users need multiple iterations to refine outputs. Effective AI should minimize rework and improve accuracy upfront.
????????'???? ????????????????-???????????????? ???????????? ???????????????????????????????? ????????????????????????????????:
AI investments should be viewed with a venture capital mindset—short-term returns may be unclear, but long-term benefits in efficiency, decision-making, and innovation will materialize.
???????? ???????? ???? ????????????????, ???????????? ???? ????????????????????????????????????????????:
The goal of AI is to augment human intelligence, not replace it. Value-driven AI implementation should focus on solving real-world problems while ensuring ethical and responsible usage across industries.
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Tags: Agentic AI, AI, Generative AI
Business in the Era of AI
SDA Bocconi Asia Center
November 01, 2023
The panel discussion addressed the symbiotic relationship between humans and Al, exploring the evolving nature of human-machine collaboration
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Tags: AI
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