Tag Archives: artificial intelligence

academia, artificial intelligence, business, education, technology

Most B-school faculty in India lack AI expertise: Survey

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**Most B-school Faculty in India Lack AI Expertise: Survey**

*By Dwaipayan Roy | Sep 28, 2025, 04:49 PM*

A recent survey conducted by MBAUniverse.com has revealed that while Indian business schools are rapidly adopting artificial intelligence (AI) technology, the majority of faculty members still lack the necessary expertise to effectively utilize these tools.

The study surveyed 235 educators from prestigious institutions such as IIMs, IITs, ISB, XLRI, and SPJIMR. It found that only 7% of these educators consider themselves expert users of AI tools.

### Growing Acceptance of AI in Academia

Despite the low level of expertise, the survey highlighted a positive shift in attitudes towards AI. About 51% of faculty members expressed confidence in the positive impact of AI adoption on business school students. More than half anticipate an increased role for AI in teaching, curriculum design, and research over the next year. This shows a growing acceptance and readiness for deeper integration of AI into academic processes.

### Application Areas: Transformative Potential of AI in Management Education

According to the survey, faculty are primarily using AI for research and teaching purposes. However, AI’s role in curriculum development is also steadily increasing. Administrative tasks and student assessment are emerging areas for AI application, indicating opportunities for structured support and capacity-building programs.

This highlights AI’s potential to transform multiple aspects of management education beyond just classroom teaching.

### Faculty Perceptions and Tool Preferences

The survey also explored faculty perceptions regarding AI’s impact on student learning, skill development, and classroom engagement. It assessed the tools, training, and policy guidance educators consider most important for responsible AI adoption.

Notably, ChatGPT emerged as the most relevant AI tool for teaching-related activities among faculty members.

### Challenges and Concerns in AI Adoption

While many faculty members viewed AI’s impact on student learning positively, 21% felt it was too early to determine its effects. Meanwhile, 18% perceived an unfavorable impact, and nearly 10% reported no significant changes.

The main challenges cited in using generative AI for research included ethical concerns, followed by issues related to inaccuracies, unreliable outputs, and a lack of regulatory policies.

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The survey underscores the urgent need for capacity building and policy frameworks to equip business school faculty with the skills and guidelines necessary to harness AI’s full potential responsibly and effectively.
https://www.newsbytesapp.com/news/science/ai-adoption-among-indian-b-school-faculty-what-we-know/story

artificial intelligence, education, technology, training

IIT Delhi Opens Registration For Second Batch Of Certificate Programme In Applied Data Science & AI

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IIT Delhi Launches Second Batch of Certificate Programme in Applied Data Science & Artificial Intelligence

The Indian Institute of Technology Delhi has announced the second batch of its Certificate Programme in Applied Data Science & Artificial Intelligence: From Fundamentals to Deployment. This comprehensive programme is designed to equip learners with the skills to write production-grade Python code, engineer and analyze data, build and validate machine learning (ML) and deep learning models, and deploy responsible AI solutions using MLOps. The course culminates in an industry-relevant capstone project, ensuring practical, hands-on experience.

Programme Highlights

Offered under IIT Delhi’s Continuing Education Programme (CEP), this six-month course provides a strong foundation in ML and AI principles and their real-world applications. These technologies are becoming increasingly central across sectors such as healthcare, finance, retail, manufacturing, education, transportation, and entertainment.

Key aspects of the programme include:

  • Hands-on Python programming and data manipulation
  • Exploratory data analysis, regression, classification, clustering, and dimensionality reduction
  • Advanced techniques in deep learning, reinforcement learning, and natural language processing (NLP)
  • Model deployment using Docker and cloud platforms
  • MLOps practices and application of responsible AI principles
  • Industry-grounded projects and a culminating capstone project

Curriculum and Learning Format

The curriculum is thoughtfully designed to guide learners from fundamental concepts to advanced applications, including:

  • Python programming, data manipulation, and exploratory data analysis
  • Machine learning techniques such as regression, classification, clustering, and dimensionality reduction
  • Deep learning, reinforcement learning, and natural language processing
  • Model deployment, cloud computing, and MLOps strategies
  • Application of responsible AI principles through hands-on projects and capstone

The programme employs a Direct-to-Device (D2D) delivery model comprising:

  • 72 hours of live, interactive online lectures
  • 40-hour industry-relevant capstone project
  • Practical tutorials and asynchronous learning modules
  • Optional short campus immersion at IIT Delhi for in-person experience

Upon successful completion, participants will earn e-Certificates from CEP, IIT Delhi, subject to fulfilling all programme requirements.

What the Faculty Says

“At IIT Delhi, we’ve built this program around doing, not just knowing,” said Prof. Ankur Gupta of the Centre for Applied Research in Electronics during the programme’s unveiling. “After practicing Python, deep learning, and current machine learning techniques, learners use MLOps and responsible AI principles to deploy their models in production. The capstone, industry examples, and mentoring ensure participants graduate with deployable solutions and the confidence to leverage data science effectively across industries.”

Who Should Apply?

This programme is ideal for:

  • Aspiring data scientists and AI enthusiasts
  • Technology and analytics professionals seeking to upskill or pivot careers
  • Engineers and technologists implementing AI solutions in industry settings
  • Students and researchers aiming to deepen their expertise in applied AI and data science

The Growing Demand for AI Skills

According to McKinsey’s The Data-Driven Enterprise of 2025, data will be ubiquitous across business processes by 2030, requiring leaders to adopt a ‘data and AI first’ approach. The World Economic Forum’s Future of Jobs Report 2025 highlights that 86% of employers expect AI to transform their operations by 2030. However, 63% of these employers cite skill gaps as a major barrier to adoption. Additionally, approximately 39% of current skill sets are projected to become obsolete within five years, underscoring the urgent need for upskilling.

This certificate programme by IIT Delhi offers a timely opportunity for professionals and learners to bridge this gap and prepare for the future of AI-driven industries.

https://www.freepressjournal.in/education/iit-delhi-opens-registration-for-second-batch-of-certificate-programme-in-applied-data-science-ai

business, education, employment, industry, technology

Why getting VC jobs is now harder for MBA graduates

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**Why Getting VC Jobs Is Now Harder for MBA Graduates**
*By Dwaipayan Roy | Sep 22, 2025, 01:18 pm*

The pathway from earning an MBA to landing a job in venture capital (VC) remains open, but recent data suggests this route is becoming more challenging. According to reports from PitchBook and academic research, the landscape of VC hiring is shifting.

In 2024, Harvard University placed 50 of its 1,004 MBA graduates into VC roles, with a median starting salary of $177,500. Meanwhile, Stanford saw about 30 of its smaller graduating class enter venture capital positions.

### Alumni Presence and Declining MBA Representation

PitchBook data reveals that over 10,000 MBA alumni from Harvard, Stanford, and Wharton currently hold senior roles in US VC firms. Despite this large presence, the dominance of MBAs in the venture capital world is gradually declining.

Stanford professor Ilya Strebulaev’s research shows that the share of mid-career venture professionals with MBA degrees has dropped from 44% in the early 2000s to 32% today. This signals a noticeable shift in the composition of VC talent.

### Changing Hiring Preferences

The evolving nature of venture capital itself is a key factor behind this trend. VC is expanding beyond traditional sectors into cutting-edge fields like artificial intelligence (AI) and hardware, where technical expertise tends to be more valued than business school credentials.

As a result, venture firms increasingly prioritize candidates with backgrounds from tech powerhouses such as OpenAI and SpaceX over those holding MBAs from top business schools.

“There is less appetite for MBAs currently,” notes executive recruiter Will Champagne in an interview with PitchBook.

### Student Interest Remains Strong

Despite these changes in hiring preferences, interest among MBA students in venture capital careers remains robust. At Stanford, for example, the VC club boasts around 600 members out of roughly 850 MBA students on campus.

However, pursuing an MBA at a leading program can be costly, with expenses often exceeding $200,000. Yet this high price tag does not seem to diminish students’ enthusiasm for venture capital roles.

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As the VC industry evolves, MBA graduates may need to adapt by gaining relevant technical skills or experience to stay competitive in this dynamic job market.
https://www.newsbytesapp.com/news/business/mba-to-vc-job-path-still-exists-but-changing/story