AI for DecisionMaking and Governance
Dr. Karnak Roy / Dr. Raman Ghosh
Programme Directors
PROGRAMME OVERVIEW
The rapid advancement of Artificial Intelligence (Al) and Business Intelligence (Bl) is reshaping decision-making across industries. This programme offers a comprehensive introduction to Al, machine learning, and deep learning, emphasising their applications in data analysis, automation, and predictive modelling. Participants will learn to leverage Al to analyse large datasets, streamline business operations, and forecast emerging trends.
Through hands-on training with industry-leading tools and Al-driven analytics platforms, participants will gain practical data visualisation and real-time analytics expertise. The programme also explores Al's expanding role in governance, finance, and business intelligence, equipping learners with the knowledge to implement Al-driven problem-solving and operational optimisation strategies.
By the end of the programme, participants will have the skills to effectively utilise Al and Bl tools, enabling them to make data-driven decisions, enhance operational efficiency, and drive innovation within their organisations.
OBJECTIVES
• Gain a strong foundation in Al, machine learning, and deep learning for strategic decision-making.
• Learn to apply Al for data analysis, process automation, and trend forecasting.
• Develop hands-on expertise with Power Bl, Tableau, and Al-driven analytics tools.
• Explore Al's role in governance, finance, and business intelligence.
• Implement Al-driven strategies for problem-solving and process optimisation.
CONTENT
Day 1: Introduction to Al in Decision-Making
• Overview of Al, machine learning, and deep learning.
• Industry 4.0 applications of Al.
• Al-powered data analytics tools for strategic planning and governance.
Day 2: Al in Modelling and Automation
• Enhancing operational efficiency through Al-driven automation.
• Practical training on Power Bl and Al analytics platforms.
• Real-world applications of Al in business processes.
Day 3: Al in Governance, Finance, and Business Intelligence
• Al-driven transformations in financial management and regulatory frameworks.
• Capstone project: Application of acquired Al skills.
• Group presentations and expert feedback.
METHODOLOGY
The training will incorporate:
• Interactive lectures on Al concepts and applications.
• Hands-on exercises with Al-powered decision-making tools.
• Case studies on Al implementations in governance, finance, and business.
• Group discussions and a capstone project for practical learning.
FACULTY PROFILE
The programme will be led by:
Dr Karnak Roy, Associate Professor with 18 years of teaching and training experience. He has trained thousands of officers in Data Analytics, Innovation Management, Research Methodology, and Data-Driven Decision Making.
Dr Raman Ghosh, Assistant Professor with 10 years of teaching and industry experience. He has trained officers in Data Analytics, Artificial Intelligence, Research Methodology, and Data-Driven Decision-Making. Additionally, the programme will feature industry experts and subject matter specialists alongside college faculty.
PARTICIPANT PROFILE
This programme is designed for government officials involved in policy-making and digital transformation, managers and executives from financial institutions, regulatory bodies, and consulting firms, as well as business analysts, economists, and data professionals focused on Al-driven decision-making. It is also suitable for professionals seeking to integrate Al and machine learning into strategic planning and automation.
Organisational sponsorship is essential
VENUE
The programme is fully residential and the participants will be accommodated in air conditioned single occupancy rooms. The college does not provide accommodation for the family. The college is Wi-Fi enabled in a comprehensive way.
DURATION
The programme duration is 3 days starting from November 10-12, 2025. The participants are expected to arrive a day before commencement and may leave after the conclusion of the programme.
PROGRAMME FEE
Residential Fee: Rs. 43,700/- (US $ 683 for foreigners) plus GST as applicable (presently 18%) per participant. The fee covers tuition, board and lodging, courseware (in electronic form) and other facilities of the College including internet usage.
Non-Residential Fee: Rs. 37,700/- plus GST as applicable (presently 18%) per participant. The fee covers tuition, course ware (in electronic form) working lunch and other facilities of the College including internet usage.
A discount of 10% on the Programme fee for three or more participants from the same organisation will be given, provided the payment is credited into our Bank account before November 07, 2025.
Note: Kindly forward us the details of the Bank/ Wire transfer of the programme fee through email to: [email protected] for confirmation.
MEDICAL INSURANCE
The nominees are requested to carry with them the proof of Medical Insurance. The sponsoring agency is required to endorse the nominees' medical coverage in the event of hospitalization
LAST DATE FOR NOMINATION
Please use the prescribed/attached form. Last date for receiving nominations is November 03, 2025. Kindly contact Programmes Officer for further details (contact details are given at the end of the nomination form).
LAST DATE FOR WITHDRAWAL
November 05, 2025. Any withdrawals after this date will entail forfeiture of fee paid, if any.
ASCI ALUMNI ASSOCIATION
Participants of the College programmes will automatically become members of the ASCI alumni association.
CERTIFICATE OF PARTICIPATION
The College issues a Certificate of Participation on conclusion of the programme.
For Indian Participants:
| Bank Account Number | 62090698675 |
|---|---|
| Beneficiary Name | Administrative Staff College of India |
| IFSC Code | SBIN0020063 |
| Bank Name | State Bank of India |
| Branch Address | Bellavista Branch, Raj Bhavan Road, Somajiguda, Hyderabad - 500 082. |
For Foreign Participants:
| Bank Account Number | 62090698675 |
|---|---|
| Beneficiary Name | Administrative Staff College of India |
| Swift Code | SBININBB327 |
| Bank Name | State Bank of India |
| Branch Address | Bellavista Branch, Raj Bhavan Road, Somajiguda, Hyderabad - 500 082. |
| Country | India |
Administrative Staff College of India
Bella Vista, Raj Bhavan Road, Khairatabad, Hyderabad - 500 082, India.
Telefax (Programmes Office) : 0091-40-23324365
Mobile: 9246203535, Phone : 0091-40-66534247
Fax : 0091-40-66534356
ASCI is the first Management Development Institution set up in the country at the instance of the Government of India and industry in 1956 to impart state-of-the-art management education for practicing managers, a legacy that we proudly take forward with a strong alumni of over 1,63,000. We are proud of our alumni which includes the leaders of Indian industry and senior Civil Servants in the government, public sector undertakings to be a part of this unique organisation. We are thankful to you all for the support extended in the past and look forward to your continuing patronage in 2023-24.
Also, ASCI conducts customized programmes for Government of India, State Governments, Public Sector, Private Sector and various international organisations. Our experienced faculty bring to the table a wealth of academic credentials, rich industry exposure and act as a catalyst in the classroom discussions, case study analyses and tutorials. Our faculty also conduct international programmes which provide an exposure to the global best practices. In addition to this, faculty at ASCI also carry out large number of management research activities (typically about 100 each year) which helps them provide the much needed value addition in the training programmes. In addition, we conduct non-residential programmes at our New Delhi Centre as well as off-campus programmesat the venue of the client’s choice
College Park Campus
ASCI, Road No.3, Banjara Hills,
Hydeabad-500 034, Telangana, India
+91-40-66720700/01/02/05
+91-40-66720725
Delhi Campus
ASCI, C-24,Institutional Area, South of IIT
Behind Qutub Hotel, New Delhi-110016.
+91-11-26962204,26961750,26961850
+91-11-26866097