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GAHNA EduPath Spokesperson at Org. Artificial Intelligence has potential to transform various sectors

Spokesperson at Org
Artificial Intelligence (AI) has the potential to transform various sectors of the Indian economy, including healthcare, education, agriculture, transportation, and governance. AI can enhance productivity, improve efficiency, reduce costs, and enable better decision-making. In recent years, the Indian government has recognized the importance of AI and has taken several initiatives to promote its development and adoption in the country. In this article, we will explore the opportunities and challenges of AI for India and how different government ministries and departments can benefit from it.

Jai Jagannath 🙏🙏🙏
05/10/2026

Jai Jagannath 🙏🙏🙏

It was a pleasure addressing the State Bank of India AI Summit 2026 in Kerala today and discussing Agentic AI applicatio...
04/10/2026

It was a pleasure addressing the State Bank of India AI Summit 2026 in Kerala today and discussing Agentic AI applications in Banking and Finance. Our discussion focused on how banks can move from AI-generated insights to AI-assisted actions, while building strong guardrails, regulatory and compliance checks, and clear human oversight into every workflow. *READ MORE* - https://lnkd.in/p/dcd3UXa9

It was a pleasure addressing the State Bank of India AI Summit 2026 in Kerala today and discussing Agentic AI applicatio...
03/10/2026

It was a pleasure addressing the State Bank of India AI Summit 2026 in Kerala today and discussing Agentic AI applications in Banking and Finance.

Our discussion focused on how banks can move from AI-generated insights to AI-assisted actions, while building strong guardrails, regulatory and compliance checks, and clear human oversight into every workflow.

For me, one point remains central: as we give AI more responsibility, we must make its actions traceable, its access controlled and its decisions open to review. In banking, trust has to be part of the architecture from day one.

Thank you to the SBI team for the invitation and the thoughtful exchange on building responsible AI for financial services.

ResponsibleAI AIGovernance GAHNA

Still running your institution on a conventional ERP? It may be time to experience what an AI-native ERP can do.Introduc...
30/09/2026

Still running your institution on a conventional ERP? It may be time to experience what an AI-native ERP can do.
Introducing GAHNA Unified Academic Management System (GAHNA UAMS), an AI-powered ERP for schools, colleges and universities, designed to bring the entire institution onto one intelligent platform.

From admissions and academics to students, faculty, finance, examinations, placements and administration, GAHNA UAMS goes beyond simply recording data. Its AI capabilities are designed to help institutions understand what is happening, identify what needs attention and take better actions faster.

Key AI capabilities include:
(1) AI Daily Command Briefing – Know what needs management attention every day.
(2) FIX THIS™ AI Engine – Detect issues, analyse root causes and recommend corrective actions.
(3) Ask Your Data – Generate insights and reports using natural language.
(4) Institution Health Intelligence – Monitor institutional performance, risks and critical indicators.
(5) Admission Intelligence – Understand conversion, drop-offs and admission trends.
(6) Student Success & Placement Intelligence – Identify risks, skill gaps and placement readiness.

The objective is simple: less manual effort, faster decisions, greater productivity, better stakeholder experience and a smarter institution.

Try GAHNA UAMS FREE: https://gahnauams.com/
No credit card. No payment required to get started.
Explore GAHNA UAMS: https://gahnauams.com/

For demo, institutional deployment or partnership enquiries:
Email: [email protected]
GAHNA UAMS
Beyond ERP. Institutional Intelligence.

30/09/2026

AI Coding Agents and Coder Jobs

28/09/2026
What does it take to turn   and   into useful industry applications?It starts with understanding the problem, the organi...
22/09/2026

What does it take to turn and into useful industry applications?

It starts with understanding the problem, the organisation’s data, and the decisions the system is allowed to make.

At GAHNA AI Lab, our Industry-Specific AI Training & Certification connects these concepts with practical use cases:

for the programme: [Insert registration link -
https://docs.google.com/forms/d/e/1FAIpQLScft6l0xNRzyyA1hb90NgwO6vyCAPd-LnuognuZVzDuiscjCA/viewform

(1) RAG in Banking: Help teams find answers in policy documents, with supporting sources.

(2) Agentic RAG in Insurance: Support multi-step claims research by retrieving and comparing relevant information.

(3) AI Agents in IT Operations: Help triage support tickets and carry out approved actions within defined permissions.

Led by Dr. Utpal Chakraborty(PhD), Founder & Chief Scientist, GAHNA AI Lab, the learning will cover how these approaches work, when to use them, and how to evaluate their results.

Students and professionals will also explore what makes an application dependable: data access controls, answer verification, human oversight, and clear limits on automated actions.

Our goal is to help learners move from understanding AI concepts to making sound engineering decisions.

The programme is free for financially disadvantaged students because financial constraints should not prevent access to meaningful AI education.

Follow GAHNA AI Lab for the session announcement and programme updates.

Retrieve knowledge. Connect tools. Solve real problems.

Register for the programme: [Insert registration link -
https://docs.google.com/forms/d/e/1FAIpQLScft6l0xNRzyyA1hb90NgwO6vyCAPd-LnuognuZVzDuiscjCA/viewform

  LIVE on 19 September 2026 at 4:00 PM IST.  Industry-Specific AI Training &   by GAHNA AI Lab.  Link : https://www.link...
19/09/2026

LIVE on 19 September 2026 at 4:00 PM IST.

Industry-Specific AI Training & by GAHNA AI Lab.

Link : https://www.linkedin.com/events/7503010841491914752

: https://forms.gle/YTvjU6iHU89LBex68

FROM ML MODELS TO INDUSTRY USE CASES

Knowing an algorithm is a start. Understanding where to use it, what data it needs, and when it can fail is what makes that knowledge valuable.

We will connect machine learning and neural networks with practical problems:

• Banking: detecting suspicious transactions.

• Retail: forecasting demand.

• Manufacturing: identifying visual defects.

• Cybersecurity: spotting unusual activity.

We will explore core concepts, model selection, data requirements and evaluation, with simple explanations for beginners and technical insights for working professionals.

The programme is free for financially weak students. Financial constraints should not stop someone from learning AI.

Bring your questions and an industry problem you would like to solve. Please share this invitation with a student or colleague who could benefit.

Come, let’s learn AI. आओ, AI सीखें।

CC: Dr. Utpal Chakraborty(PhD)

You know the name of an AI model. Can you explain which industry problem it can solve, what data it needs, and when you ...
18/09/2026

You know the name of an AI model. Can you explain which industry problem it can solve, what data it needs, and when you should avoid using it?

Join the session on 19th Sept at 4:00 PM IST:

https://lnkd.in/dRtHYcV2

Register for the course: https://docs.google.com/forms/d/e/1FAIpQLScft6l0xNRzyyA1hb90NgwO6vyCAPd-LnuognuZVzDuiscjCA/viewform?usp=header

That is the understanding we want to build at GAHNA AI Lab.

On 19 September 2026 at 4:00 PM IST, we will be taking our first class of GAHNA’s Industry-Specific AI Training & Certification:

FROM ML MODELS TO INDUSTRY USE CASES

We will connect the concepts with practical examples:

• Regression for estimating electricity demand.

• Clustering for understanding telecom customer segments.

• Anomaly detection for identifying unusual cybersecurity activity.

• Classification for detecting potentially fraudulent transactions.

• Neural networks for visual inspection, sequence modelling and language applications.

For each model, we will discuss the core idea, essential mathematics, suitable data, strengths and limitations. We will also examine the questions that matter before deployment: How do we measure success? Which mistakes are costly?

What security, privacy and human oversight are needed?

Our aim is for every student and professional to leave with a clearer understanding of how to choose a model, test it honestly and connect its predictions to a useful industry decision.

Financial constraints should never stop a motivated student from learning. This programme provides free access for financially weak students, with a focus on practical learning and industry relevance.

Join the session and bring your questions:

https://lnkd.in/dRtHYcV2

Come, let’s learn AI. आओ, AI सीखें।

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