AI-Augmented Analytics: From Data to Decisions in the GenAI Era

Most managers operate in a world of numbers – spreadsheets, dashboards, data, and operational metrics. Generative AI is now changing how this everyday analytical work gets done: accelerating analysis, automating reporting, and opening previously inaccessible data sources.

Managers need to harness these shifts in their day-to-day numerical work, and to extend their analytical reach into textual and other unstructured data where it adds value. Equally important, they must learn where AI-augmented analytics excels and where it fails silently, so that AI-generated outputs translate into trustworthy business decisions rather than plausiblebut-wrong narratives. This programme responds directly to that current need..

Contents

  • The New Analytics Paradigm: From spreadsheets and dashboards to AI-augmented insight; the evolving analytics workflow; where AI excels and where it fails.
  • AI-Augmented Analysis of Structured Data: Natural-language interfaces to data, AI copilots, automated EDA, prompting for analytical tasks, and checking AI errors.
  • Going Deeper with Numerical Data: AI-assisted forecasting, anomaly detection, scenario/what-if modelling, segmentation, and automated reporting.
  • Textual Data Analytics for Managers: Classification, extraction, summarisation, sentiment and theme discovery on customer feedback, surveys, and transcripts.
  • Documents, Images, and the Multimodal Frontier: Document intelligence, chart/image analysis, embeddings and semantic search, and choosing the right approach.
  • From AI Insights to Trusted Decisions: Verification frameworks, correlation vs causation, AI-amplified biases, risk-tiering, and human-in-the-loop workflows.
  • Building the AI-Augmented Analytics Function: The new analytics stack, build vs buy, team and skills, data privacy and IP, governance, and ROI measurement.
  • Capstone (Bringing It Together): Participant presentations on real data problems, peer/faculty feedback.

Objectives

On completion of the programme, participants will be able to:

  • Use AI copilots or available tools to accelerate everyday work on spreadsheets, databases, and structured data.
  • Apply AI-augmented techniques for forecasting, anomaly detection, segmentation, and automated reporting.
  • Extend analytical reach into textual data sources – customer feedback, surveys, transcripts – when relevant.
  • Apply frameworks for validating AI-generated insights before acting on them.
  • Design an AI-augmented analytics roadmap for their function or organization

Who should attend?

The programme is suited to any organisation whose managers translate data into business decisions. Likely client organisations and functions include:

  • Corporates across sectors (BFSI, manufacturing, retail/FMCG, IT/ITeS, healthcare, telecom, energy, e-commerce) with analytics and business-intelligence teams.
  • Finance and FP&A functions; marketing and customer analytics teams; operations and supply-chain functions; product management teams.
  • Consulting and professional-services firms.
  • PSUs, government bodies, and not-for-profit organisations seeking to build data-driven, AI-augmented decision capability.

Venue & Duration

The programme is scheduled during February 15-17, 2027 on a residential basis at MDI Campus, Mehrauli Road, Sukhrali, Gurugram. Accommodation for participants would be available at MDI Campus from the noon of February 14, 2027 to the forenoon of February 18, 2027.

Registration & Fees

Participants should be nominated by their organizations. The enclosed nomination form should be completed and returned with all the details. The fee of the program which includes a professional fee and all charges for boarding, lodging and supply of course materials during the programme. GST as applicable will be charged extra in addition to the programme fee. Payment should be made by Cheque/NEFT/RTGS.

S.noParticularPer participants Program Fees (exclusive of GST)
1Single RoomRs. 45000/-
2Double Sharing RoomRs. 42000/-
3Non residentialRs. 40500/-

Discount Policy

With a view to our long-term relationship with your esteemed organization, we are pleased to introduce the discount policy in this programme. The discount will be observed in the following conditions: (discount is applicable in NEPAL also)

  • 10% Discount against 3-5 nominations
  • 20% Discount against more than 5 nominations

Important Dates

The last date for receipt of nominations is February 01, 2027. The last date for withdrawal of nominations is February 02, 2027. Any withdrawal received after this date will be subject to deduction as per the Institute's rules. However, substitution may be permitted.

Nominating organizations are advised to await confirmation of acceptance of nominations(s) before sending the participants to the programme venue.