India is Transitioning from Labour-focused Thinking to AI-Focused Mindset: ServiceNow CEO

According to Bill McDermott, CEO of the global AI platform ServiceNow for business transformation, India is transitioning from a labour-focused approach to an AI (artificial intelligence) mindset.

During a media interaction at ServiceNow’s annual event, Knowledge 2025, in Las Vegas, which focused on AI-driven service transformation, McDermott said, “Corporations that don’t get on board with AI right now will fail”.

He said, “Autonomous agentic AI is changing everything. The 20th-century industrial complex of software stacks is now going by the wayside and being integrated into ServiceNow, so companies can run more efficiently at a lower cost and start to grow again”.

When asked about the price sensitivity of the Indian market, McDermott said that companies must be responsive to the specific needs of any market, and ServiceNow strives to be as responsive as possible.

He said, “I think India is really moving from a labour-centric mindset to an AI mindset, which means if you have brilliant labour and can apply the magic of AI, put AI to work for the people, the force multiplying effect is so big”.

McDermott said, “So the business cases are what decision-makers need to start looking at. How big of a business price is moving to a platform like ServiceNow? What do I get from it? Not what the platform costs. I think we’re moving away from how much the price is, to how much value can I extract”.

“We have come out with a very interesting programme called NowNext AI for companies that go all in with us”, he added.

“Reliance would be a great example of such a company. They have broad access rights, broad IP rights, and incredible access to all of our AI innovation, and we give it to them,” he said.

McDermott explained that their India strategy involves partnering with large firms to reduce costs and increase value for all businesses. He stressed that adopting their AI-powered platform drives productivity and is essential for companies’ survival and success in the AI era, also noting a global AI skill gap that ServiceNow aims to address through training.

Source: https://economictimes.indiatimes.com/tech/artificial-intelligence/india-moving-from-labour-centric-mindset-to-ai-mindset-servicenow-ceo/articleshow/120999601.cms?from=mdr

This entry was posted on May 9, 2025 by Tanmay Das.

76% of Indian Employees Trust AI & 90% Report Higher Efficiency: KPMG Study

India is witnessing significant and rapid progress in AI (artificial intelligence) across numerous industries. A recent KPMG study shows that 76% trust in this technology among Indians. The report also points to AI’s transformative force in the country, with 90% of people thinking it’s making things more accessible and effective.

Furthermore, 97% of Indians admitted to using AI at work, and 67% found it crucial for tasks; a significant 78% are concerned about its downsides. Also, 60% have already observed fewer human connections due to AI.

Akhilesh Tuteja, head of technology at KPMG in India, said, “India stands at the cusp of a remarkable AI-powered future. With 90 per cent of Indians expressing approval of AI and 94 per cent anticipating a wide range of benefits, the data reflects a strong sense of optimism about what AI can achieve for the country. This enthusiasm points to current transformation and a hopeful trajectory where AI enhances accessibility, productivity, and innovation across sectors”.

Globally, 58% of employees use AI, with 31% using it weekly or daily. In India, AI adoption is higher, with 93% report companies use it, and 97% intentionally use it at work. However, nearly half of global employees risk security by uploading sensitive data to public platforms. In India, 67% feel its significance at work, and 81% trust AI results without checking.

Globally, 66% trust AI output without checking, leading to errors in 56% of work. In India, misuse is higher: 70% of employees have used AI inappropriately, 73% have made mistakes due to it, and 72% have violated company AI policies.

A key challenge is that 57% globally and 83% in India hide their AI use, presenting it as their own work. Despite this, 83% of Indian companies have AI strategies, offer responsible AI training (86%), and have relevant policies (80%).

While 82% of Indian employees feel that AI boosts efficiency and work quality, leading to more revenue (77%), a significant portion (44%) report increased workload, stress, and pressure.

Source: https://indianexpress.com/article/technology/artificial-intelligence/76-indian-employees-willing-to-trust-ai-90-report-increased-efficiency-kpmg-study-9985779/

This entry was posted on May 7, 2025 by Tanmay Das.

Understanding Generative AI: Capabilities, Applications, and Future Impact

Generative AI (Gen AI) is no longer a buzzing word, it is impacting industries and redefining our tech experience. If you are curious about this revolutionary AI tool, this blog unveils the power, potential, and impact of GenAI today and in the future. Dive in to explore all the nitty gritty details of generative AI!

Generative AI–one of the most popular terms in today’s era. You get to see an unending buzz around Gen AI every now and then, showcasing its exceptional creations.

By the end of 2025, 1 in 4 companies using GenAI will likely use AI agents, and this figure is expected to double (from 25% to 50%) by 2027.

This powerful technology is increasingly becoming accessible and relevant to everyone. From creating captivating marketing copies to designing compelling visuals, Generative AI is becoming an integral tool across all domains.

But!

What actually Generative AI is? What is the potential of this groundbreaking technology? What future beholds?

Let’s break down all the complexities of this technology, explore its capabilities, understand its practical applications, and uncover GenAI’s future impact!

What is Generative AI?

“Generative models are a key enabler of machine creativity, allowing machines to go beyond what they’ve seen before and create something new.”—Ian Goodfellow

Ian Goodfellow, ex-Apple Machine Learning lead, highlighted generative AI’s core “machine creativity,” the power to produce original content, unlike other AI types.

Gen AI, or Generative AI, is a type of artificial intelligence tool. It focuses on creating original and new content based on the data it has been trained on. While other AI tools analyse and sort the data, Gen AI models understand the underlying patterns, create new and original things using them.

How Does Generative AI Work?

Generative AI works in a way similar to how a young child learns patterns in language. The way a child hears conversations, picks up grammar, vocabulary, and learns to put sentences together, Gen AI models absorb a large amount of “language data” including text, images, etc, and identify the statistical relationships and structures within it. Once it learns the patterns, it can create new data that’s similar to what it was trained on.

Key aspects of Generative AI:

Learning From Examples: Gen AI models look and analyse vast amounts of data to learn and analyse what things are.
Finding the Rules: Generative AI figure out how things are put together, including grammar, words for text, colours of pictures, shapes, tunes, etc.
Using Its Understanding: Once the Gen AI model understands the rules, you can ask this AI tool to create something.
Creating Something New: Generative AI uses its learning to create something new and original, not just a copy it learned from.
Use Various Architectures: GenAI uses different architectures depending on what it needs to create.
LLMs (Large Language Models): Ideal for creating text that seems it have been written by a person.
GANs (Generative Adversarial Networks): It has two parts ‘maker’ AI and a ‘detector’ AI. One creates fake things, and the other tries to identify them. Both compete to build realistic fake images/things that look very real.
VAEs (Variational Autoencoders): Learns a simpler way to describe a set of data and utilise it to create new things.
Diffusion Models: Learns to make a clear image and more from random data.
Transformer Models: Best for understanding sequences like words in sentences, vital for text and other data types.

Popular Generative AI Tools and Platforms: Exploring Their Applications!

Generative AI gave rise to a range of fascinating tools and platforms. From brainstorming ideas, automating writing, generating creative content and more, you can find a specific Gen AI tool to assist you.

Here is an overview of popular Gen AI tools designed for specific outcomes to understand their applications.

Text Generation

ChatGPT: A conversational AI platform by OpenAI has 400 million weekly active users worldwide. It is capable of generating human-like text for writing, learning, brainstorming, and coding.
Microsoft Copilot: An AI-powered tool by Microsoft attracted over 1 million customers in 2024. It drafts documents, summarises emails, suggests formulas, generates code, and more.
Google Gemini: A multimodal AI model by Google has 350 million monthly active users. It is capable of understanding and generating text, code, images and more.
Claude: A next-gen AI assistant by Anthropic, has 18.9 million monthly active users worldwide. It is used for content creation, question answering, and summarisation.

Image Generation

DALL·E: An AI model by ChatGPT DALL·E attracted over 1.5 million users actively creating more than 2 million images in 2024. It generates photorealistic images, paintings, and numerous artistic styles.
Midjourney: An AI image generator, Midjourney’s Discord user base grew to 19.26 million, up from 17.5 million in 2023. Based on the user prompts, Midjourney bot produces a set of stunning images.
Stable Diffusion: A text-to-image AI model, Stable Diffusion has more than 10 million users daily. It generates detailed and high-quality photorealistic visuals.

Code Generation

GitHub Copilot: An AI coding assistant by GitHub and OpenAI, GitHub Copilot has reached 15 million users. It provides real-time code suggestions and autocompletion. This AI tool can even generate entire code blocks based on comments and context.

Amazon CodeWhisperer: A machine learning powered code generator, Amazon CodeWhisperer has over 1 million active monthly users. It offers real-time code suggestions and security recommendations within the IDE (integrated development environment).

How to Use Generative AI for Learning IT Skills?

Generative AI is not only applied in industries but also boosts IT skills. Whether you are a student just starting out or a seasoned professional who wants to enhance your expertise, integrating Gen AI into your learning can help you unlock a new level of understanding in various fields like data science, web development, cybersecurity, and more.

The following are some practical methods learners can leverage Generative AI to expand their knowledge in various IT fields.

Code Generation and Explanation

AI tools like ChatGPT, Gemini, or Copilot can generate code examples based on your needs. You can also ask explanation for existing code if you encounter any unfamiliar code. Additionally, you can also ask AI for alternative ways to solve any specific programming problem. This helps you with various best practices and techniques to refine your approach.

Learning New Frameworks and Libraries

If you are starting with a new framework like Angular, Django, or React, you can ask AI to create a basic project setup with essential files and configurations.

You can inquire about common use cases of a particular function, module, or class within a library or framework. If you want to learn using specific features or components, you can also request code examples.

Data Science Exploration and Understanding

To practice machine learning and data analysis techniques, you can leverage AI tools to create dummy data with specific characteristics. You can ask AI to provide clear and concise explanations, analogies or step-by-step instructions to learn concepts like regression, classification, hypothesis testing, and more.

Also, you can leverage AI to manage missing data, encode variables in Python using libraries like Pandas and Scikit-learn.

Cybersecurity Concepts and Practice

You can ask artificial intelligence to explain complex concepts like SQL injection, XSS (cross-site scripting), or buffer overflows in simplified language with easy-to-understand examples.

Additionally, you can request Python scripts for basic penetration testing or network scanning. AI tools also provide recommendations on secure coding practices, network security configurations, password management, and more.

Web Development Fundamentals

Using AI tools, you can generate HTML, CSS, and JavaScript templates. You can get explanations for concepts like responsive design, DOM (Document Object Model), and RESTful APIs.

Additionally, you can paste code errors into the AI and understand the potential causes and recommendations to solve the issue.

Personalised Learning and Study Plans

AI tools are great in assisting you with study schedules. You can generate a learning plan for a particular IT skill, based on your career goals, current knowledge, and desired timeline.

If you find any topic complicated, you can ask for concise and easy-to-understand summaries. AI tools also give recommendations on online courses, documentation, and resources for skills that you’re seeking to master.

Benefits of Generative AI in Education and Training

Generative AI is transforming IT education and training. Here is a list of key advantages:

Personalised Learning

AI is intelligent. It can analyse students’ preferred style, knowledge gaps, and pace their learning smartly. AI can create personalised learning plans, study material, and assessments, which ensure they learn at their own pace and focus on areas that require improvement.

Generating Content

AI helps educators in generating engaging and diverse learning material, including lesson plans, exercises, quizzes, and more. This assistance significantly saves their time and helps them focus on key areas, which enhances the overall quality of educational content.

Interactive Learning Experience

As Gen AI create interactive training models, virtual labs, and game-based learning, it makes complex topics more engaging and easier to learn. Not only does this make these complex topics digestible, but it also improves students’ understanding and retention.

Streamlined Administrative Tasks

AI tools automate various educational tasks, including attendance tracking, grading, and creating reports. This significantly saves the time of educators, making them focus on more critical areas.

Real-time Feedback & Assessment

AI-powered grading systems can help educators assess students’ assignments quickly and accurately. They can provide real-time feedback to students on their work, which helps them know their mistakes and correct them promptly.

24/7 Automated Assistance

AI-powered chatbots and virtual tutors can assist students around the clock. These AI tools can answer students’ queries, explain complex topics, and provide instant feedback on their work. This rapidity helps students in making quick improvements and accelerates the overall learning process.

Challenges and Limitations of Generative AI

While Generative AI is a mighty AI tool, it comes with its own limitations and significant challenges that need to be considered. This includes ethical concerns, the spread of misinformation, and inherent technical constraints. Let’s understand these challenges in detail.

Ethical Concerns

Generative AI raises several ethical questions regarding bias in data training, which leads to unequal or unfair results, the potential misuse for creating deepfakes, and more.

Simply put, it can make fake videos, create unfair or wrong things, or even pretend to be someone, which can lead to trust issues. Another big question is, who is accountable for the harm or the problem that AI-created things cause?

Misinformation

As Gen AI has the ability to create realistic images, text, and even audio, it poses a significant risk of spreading misinformation. Furthermore, it will be really difficult to differentiate between real and fake. This technology can create fake news stories or videos that look so real, making it tough to know what to believe and what not. This can cause a lot of confusion or even harm.

Technical Limitations

While Generative AI is going through a rapid advancement, it still faces technical barriers. Gen AI models can fall short in true understanding and common sense, which leads to factually incorrect, contextually inappropriate, or nonsensical results. Additionally, it learns from what it’s already seen, leading to a lack of new ideas.

The Future of Generative AI: What’s Next?

Here is a list of the top 5 trends to watch in the future of Generative AI and its impact on the tech industry.

1. Enhanced Multimodality and Integration

Future Generative AI models will process seamlessly and create various types of data, including text, image, code, video, and more. This will lead to a more intuitive and richer user experience and deeper integration into everyday workflows and applications.

2. More Independent AI Systems

You can expect AI systems to be more sophisticated that can independently plan, collaborate, and execute tasks. It will automate the most complex processes and unlock a new level of efficiency and effectiveness across various industries.

3. AI That Reasons and Explains

Future Gen AI will have more enhanced reasoning capabilities. It will provide better transparency and improve overall decision-making processes.

These reasoning and explanation capabilities will increase trust in these tools, which will enable wider adoption in domains like finance and healthcare.

4. Highly Tailored Experience

Generative AI will offer hyper-personalised experiences to users. This cutting-edge AI tool will allow users to create deeply tailored content, suggestions, and interfaces that adapt to the unique needs and preferences in various areas like learning, online shopping, and more.

5. Wider Access to AI Tools

In future, AI tools and platforms, including Gen AI, will be easier to use. This wider access and ease of usage will allow more people, businesses, startups, etc., to leverage the full potential of Generative AI.

Concluding Thoughts

Generative AI is rapidly reforming numerous industries. From creating appealing content for marketing campaigns to accelerating drug discovery in healthcare, GenAI’s capabilities can surpass our imagination. While ethical considerations and challenges exist and require careful consideration, the potential of Generative AI can’t be ignored.

So, should you start learning Generative AI now?

Absolutely!

Understanding its fundamental principle, applications, and staying abreast with GenAI’s transformative impact is necessary not only for tech enthusiasts but for professionals coming from diverse backgrounds.

Generative AI is here to stay for way longer than we can imagine. Embrace this opportunity to learn this technology and build an impactful career through data science with GenAI and ML program.

Let’s discuss how we can help you tap into this revolutionary technology! Contact us today.

FAQs

How can Generative AI help in learning IT skills?

Generative AI helps with code examples, suggests learning paths, identifies relevant resources, explains complex concepts in simpler language, and even creates a learning schedule. This AI tool helps in various domains, including data science, coding, cybersecurity, web development, etc.

Is Generative AI useful for non-programmers too?

Yes, Gen AI offers numerous benefits to non-programmers, too. It helps in creating content, generating images, automating tasks, data analysis insights, and making technology more accessible and easy to understand.

Will Generative AI replace human jobs?

While Generative AI has capabilities to automate various tasks and roles, rather than replacing humans, this tool will enhance their abilities and is expected to create more jobs.

What is the salary of a data scientist skilled in AI tools?

The salary of a data scientist depends on experience, location, and skills. However, in India, data scientists skilled in AI tools can command salaries from ₹6 to ₹36 lakh per annum.

How does generative AI help students?

Generative AI can act as a personal tutor that explains complex topics in easy terms. This AI tool greatly helps students with brainstorming ideas for projects and assignments.

How long does it take to learn Generative AI?

While the time to learn Generative AI depends on your career goals and educational background, it ranges from a few months to years.

Do I need to learn Python for Generative AI?

Learning Python for Generative AI is not mandatory. However, learning this programming language can be very beneficial in the field of Gen AI and machine learning. You can check out the top reasons to learn Python to learn more.

What is the salary for Generative AI freshers?

In India, freshers in Generative AI typically earn between ₹6 and ₹12 lakhs per annum. This figure varies based on a fresher’s qualification, company size, and specific role.

How to use artificial intelligence in data science?

Artificial intelligence enhances data science by finding patterns and making better predictions from sets of data. Data scientists use AI to clean data, pick the right analysis methods, and create the best predictive models.

This entry was posted on May 7, 2025 by Tanmay Das.

A significant 40 of jobs could be lost due to AI, experts warn

Experts Caution that 40% of Jobs Are at Risk Due to AI

As AI (artificial intelligence) grows exponentially, discussions are taking place regarding the doubtful future of human employment, as this technology has the potential to both enhance productivity and displace workers.

Last month, the UNCTAD (United Nations agency for trade and development) warned that AI could impact up to 40% of jobs worldwide.

A McKinsey & Company report projects that AI automation could lead to the displacement of 400 to 800 million jobs globally within the next five years, depending on its adoption speed. This change would lead about 14% of the global workforce (375 million workers) to find completely new jobs.

An SEO.AI report shows that 14% of the workforce has been affected by AI, but the impact was not as severe as expected.

According to a National Bureau of Economic Research report, automation has been a huge factor in why blue-collar wages in the US have not increased or have even decreased since 1980. It’s responsible for 50% to 70% of the changes in wages.

High AI job anxiety exists in India. A recent EY report suggested that AI will impact 38 million jobs in India by 2030. A 2023 Microsoft survey found 74% of workers fear job loss to AI.

According to the UN and Atomberg’s Arindam Paul, many underestimate the threat of AI, which could eliminate 40-50% of white-collar jobs in India’s IT and BPO industries – a different impact than previous tech had on blue-collar roles.

Top AI figures like Bill Gates, Sam Altman, and Sundar Pichai have warned about AI risks in an open letter. Comparing AI threats to pandemics and nuclear warfare, these experts have urged urgent global action.

While AI job loss is a concern, many workers see its benefits. SnapLogic found that 81% feel AI enhances their work. In India, despite 74% fearing AI, 94% believe that AI will boost their career, and 83% want to offload tasks to it. Experts urge policies for worker transition and new job growth.

Source: https://economictimes.indiatimes.com/tech/artificial-intelligence/ai-job-loss-40-of-roles-at-risk-experts-warn/articleshow/120894138.cms

This entry was posted on May 6, 2025 by Tanmay Das.

Chhattisgarh CM lays foundation for India's first AI Data Park in Nava Raipur

India’s First AI-Based Data Park Launched in Nava Raipur by Chhattisgarh CM

Chief Minister Vishnu Deo Sai initiated the development of India’s first AI (artificial intelligence) Data Centre Park in Nava Raipur. This has marked a significant milestone for the country.

Sai said, “This is not going to be just a data centre; it’s the digital backbone for a new era of growth and empowerment. It’s a transformational and a momentous move to meet India’s ambitions to become a global digital powerhouse”.

Officials have announced that the upcoming data centre, operated by RackBank Datacenters Private Limited within a 2.7-hectare Special Economic Zone (SEZ), has been designed with a strong commitment to environmental protection and will utilise green and energy-efficient technologies.

An official said, “The first phase will begin with a capacity of 5 megawatts to be expanded up to 150 megawatts. An investment of approximately Rs 2,000 crore is anticipated in the future”.

According to officials, this data centre features global-standard GPU-based high-end computing, recording, live data streaming, and AI processing infrastructure under one roof, and will also provide advanced services in health technology, defence, FinTech, and data analytics.

With an expected 500 direct and 1,500 indirect jobs, with a focus on local youth, this project is expected to position Chhattisgarh as a tech leader and generate new opportunities for its talent pool.

An official stated that “The Data Centre Park will create thousands of jobs in the IT sector, data analytics, and technical support. Youth from Chhattisgarh will now be able to build careers in technology without a need to migrate to cities like Delhi or Mumbai”.

According to officials, the data park will process national and international data to improve government services and digital self-reliance. AI technology will help farmers with smart farming, weather, and crop management for better yields and income.

Officials stated that remote tribal and rural areas will get easy digital access to education, healthcare, and government services. Recently, Chhattisgarh has provided 10 acres in Nava Raipur for a National Institute of Electronics & Information Technology centre to boost digital literacy and technical education.

Source: https://www.newindianexpress.com/thesundaystandard/2025/May/04/chhattisgarh-cm-lays-foundation-for-indias-first-ai-based-data-centre-park-in-nava-raipur

This entry was posted on May 5, 2025 by Tanmay Das.

India’s Trillion-Dollar Bet is AI, Not Just IT, Declares Adobe CEO

Speaking at the inaugural WAVES (World Audio Visual and Entertainment Summit) 2025, Adobe CEO Shantanu Narayen discussed how AI (artificial intelligence) is revolutionising India’s economy and will be crucial for its future development.

Narayen said, “Every disruptive technology—from the PC, web, mobile, to cloud computing, social and now artificial intelligence—has expanded the scope of human imagination and productivity. We believe that AI is accelerating and expanding the creative aperture even further across ideation, creation and production”.

He said India’s rapid digitalisation has positioned it as a global innovation leader in mobile, digital payments, and now artificial intelligence. Highlighting AI’s vast and extensive creative opportunities, he said, “It’s fair to say that India’s next growth as an economy will not be in software code”.

Narayen emphasised the benefit of generative AI for India’s creative community, saying, “It allows Indian artists, designers and storytellers to focus on developing culturally rich concepts and ideas faster.” He elaborated that this technology assists in overcoming the initial difficulty of starting new projects, which will bring a wave of content adapted for India’s unique culture and people.

Narayan also called attention to India’s potential across all four layers of the AI technology stack—data, models, agents, and applications. In fact, local large language models trained on Indian languages and datasets could offer a distinct competitive advantage. By training models on Indian cultural, linguistic and historical data, we have an opportunity to create new forms of digital models,” he said.”

He also noted that India’s strong customer support and sales skills can be used for autonomous agents and AI workflows, boosting its IT and outsourcing sectors.

“Our Firefly models have been designed to be ethical by design, with creator attribution and content credentials at their core”, he added.

Source: https://www.fortuneindia.com/business-news/move-over-it-services-ai-is-indias-new-trillion-dollar-bet-declares-adobe-ceo-shantanu-narayen/122650

This entry was posted on May 2, 2025 by Prasenjit Das.

AI Unlocks New Possibilities for India’s Multilingual Landscape

With 22 official languages, 121 languages, and over 19,500 dialects, India is the world’s most multilingual nation, where voice-first AI agents hold immense potential.

While the internet has recently revolutionised our lives, AI (artificial intelligence) is now rapidly becoming an integral part of our daily routines and professional fields. AI is profoundly reshaping our world in countless ways.

Following China’s DeepSeek making waves among global AI platforms like ChatGPT, Sarvam AI is set to launch its first indigenous large language model platform. This company has secured full government backing as the first beneficiary of the ₹10,370-crore IndiaAI Mission.

AI is a major global economic growth driver, enhancing efficiency and productivity. PwC’s 2024 report estimates a $15.7 trillion boost by 2030, with a significant gain to India. Furthermore, AI is projected to create over 20 million jobs in India, which highlights the necessity of reskilling professionals and youth for these emerging roles.

For multilingual India, voice-first AI agents offer a natural way to interact with technology. These human-like virtual assistants, powered by AI, understand local Indian languages, which comprehend context and tone, eliminating the need for typing.

Making the digital world accessible to millions of offline Indians, voice-first AI transforms complex tasks into simple spoken interactions, which benefits farmers, factory workers, and those seeking essential services.

Voice AI is revolutionising India’s retail, logistics, education, and governance sectors, with companies like AI LifeBOT and Perplexity AI offering accessible solutions for tasks from inventory to learning.

However, this increasing adoption, which is crucial for Viksit Bharat, demands responsible data handling under the Digital Personal Data Protection Act and requires investments in education and upskilling to fully empower micro-entrepreneurs and bridge the digital gap.

Source: https://www.financialexpress.com/opinion/ai-leap-for-multilingual-india/3825797/

This entry was posted on April 29, 2025 by Tanmay Das.

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