AI Adoption in India Surges, but Challenges Remain

Around 59 percent of Indian enterprises, consisting of an average of 1,000 employees, have embraced artificial intelligence (AI), positioning India among the leading countries in AI adoption, according to the ‘IBM Global AI Adoption Index 2023’ survey. This report by IBM, conducted by Morning Consult, highlights that early adopters have significantly increased their investments in AI over the past two years, particularly in areas such as research and development (R&D) and workforce re-skilling.

While AI adoption in India is on the rise, the survey reveals that several obstacles still hinder widespread adoption. These include the recruitment of skilled employees and ethical concerns. Consequently, addressing these challenges will be a priority for Indian enterprises in 2024.

Sandip Patel, Managing Director of IBM India & South Asia, acknowledges the positive trend of AI adoption, emphasizing the potential benefits it offers. However, he notes that many businesses remain cautious about scaling up AI beyond experimentation. Patel believes that implementing data and AI governance tools will be crucial for building responsible AI models that enterprises can trust and confidently deploy. Without such tools, AI may expose companies to data privacy issues, legal complications, and ethical dilemmas.

The research conducted by IBM also reveals that large organizations have consistently maintained their AI adoption rates over recent years. Approximately 59 percent of IT professionals in these organizations report active deployment of AI, with an additional 27 percent exploring its use. Similarly, 60 percent of IT professionals in enterprises state that their companies are currently implementing generative AI, while 34 percent are exploring this technology.

The report attributes the driving forces behind AI adoption to the increasing availability of user-friendly AI tools and the need to reduce costs and automate processes. However, it also identifies the skills gap as the primary barrier to AI adoption in India. Additionally, the lack of tools and platforms for developing AI models remains a significant hindrance.

A noteworthy finding is that although many organizations recognize the importance of AI, only a minority have taken the necessary steps to ensure trustworthy AI. This includes actions such as reducing bias, ensuring data transparency, explaining AI decisions, and formulating ethical AI policies. The report identifies the lack of an AI strategy, company guidelines, and AI governance and management tools as the top barriers in developing ethical and trustworthy AI.

As AI continues to impact the workforce, organizations are leveraging the technology to streamline processes, automate customer service, enhance recruitment and human resources, and reduce manual tasks. Many companies are investing in training and reskilling programs to equip employees with the necessary skills to collaborate with new AI tools. The majority of surveyed organizations also report that their employees are enthusiastic about working alongside AI and automation technologies.

FAQ Section:

1. What percentage of Indian enterprises have adopted artificial intelligence (AI)?
Around 59 percent of Indian enterprises have embraced AI.

2. What does the ‘IBM Global AI Adoption Index 2023’ survey reveal?
The survey conducted by IBM highlights that early adopters of AI in India have significantly increased their investments in areas such as research and development (R&D) and workforce re-skilling over the past two years.

3. What obstacles hinder widespread AI adoption in India?
The obstacles include the recruitment of skilled employees and ethical concerns.

4. What will be a priority for Indian enterprises in 2024?
Addressing the challenges of recruitment of skilled employees and ethical concerns will be a priority for Indian enterprises in 2024.

5. What does Sandip Patel, Managing Director of IBM India & South Asia, emphasize?
Patel emphasizes that implementing data and AI governance tools will be crucial for building responsible AI models that enterprises can trust and confidently deploy.

6. How many IT professionals in large organizations report active deployment of AI?
Approximately 59 percent of IT professionals in large organizations report active deployment of AI.

7. What is identified as the primary barrier to AI adoption in India?
The skills gap is identified as the primary barrier to AI adoption in India.

8. What steps should organizations take to ensure trustworthy AI?
Organizations should take actions such as reducing bias, ensuring data transparency, explaining AI decisions, and formulating ethical AI policies to ensure trustworthy AI.

9. How are organizations leveraging AI to impact the workforce?
Organizations are leveraging AI to streamline processes, automate customer service, enhance recruitment and human resources, and reduce manual tasks.

10. Are employees enthusiastic about working alongside AI and automation technologies?
Yes, the majority of surveyed organizations report that their employees are enthusiastic about working alongside AI and automation technologies.

Definitions:
– Artificial Intelligence (AI): Refers to the development of computer systems capable of performing tasks that would normally require human intelligence.
– R&D: Research and Development, refers to activities undertaken to innovate and develop new technologies or improve existing ones.
– Skilled Employees: Refers to individuals who possess the necessary knowledge and expertise in a particular field.
– AI Governance: Refers to the establishment of policies, guidelines, and tools to ensure responsible and ethical use of AI.
– Ethical AI: Refers to AI systems that not only perform effectively but also adhere to moral principles and guidelines.

Suggested Related Links:
IBM Watson AI in Industries
IBM Watson Products

The source of the article is from the blog exofeed.nl

Privacy policy
Contact