- According to the IBM Global AI Adoption Index 2023 report, 59% of Indian enterprises with 1,000 or more employees reported using AI actively in their operations.
- According to the “IBM Global AI Adoption Index 2023,” early adopters set the standard. Of Indian firms currently using AI, 74% have increased their spending in the last 24 months in areas like workforce reskilling and research and development.
IBM Index: Ongoing Challenges Plus Benefits for AI Adoption
- It remains, including hiring employees with the right skills and ethical concerns, inhibiting businesses from adopting AI technologies into their operations.
- Therefore, In 2024 addressing these inhibitors would be a priority, like providing people with the relevant skills to work with AI and having a robust AI governance framework.
- “The increase in AI adoption and investments by Indian enterprises is a good indicator that they are already experiencing the benefits of AI.
- However, there is still a significant opportunity to accelerate as many businesses are hesitant to move beyond experimentation and deploy AI at scale,” said Sandip Patel, Managing Director, IBM India & South Asia.
- “To harness its full potential in the coming months, data and AI governance tools are going to be critical for building AI models responsibly that enterprises can trust and confidently adopt.
- Without the use of governance tools, AI can expose companies to data privacy issues, legal complications, and ethical dilemmas – cases of which we have already seen plaguing many across the world,” he added.
IBM Index: The use of AI in major organizations
- Currently, 27% of IT experts working for major organizations say they are actively investigating the use of AI, while 59% say they have actively implemented the technology.
- Similar to this, almost 6 out of 10 IT experts working for large companies say their organization is actively deploying generative AI, while an additional 34% are just investigating it.
- In the last 24 months, 74% of IT professionals at businesses using or investigating AI said that their organization has increased its investments in or implementation of AI in areas including R&D (67%), reskilling/workforce development (55%), and developing proprietary AI solutions (53%).
IBM Index: Top 5 Barriers to AI Adoption in India
- AI skills and expertise (30%),
- lack of tools/platforms for developing AI models (28%),
- AI projects are too complex or difficult to integrate and scale (27%),
- ethical concerns (26%) and
- too much data complexity (25%).
“The skills gap remains the biggest barrier to AI adoption in India “
IBM Index: Achieving Barrier-Free Progress:
- Allocating Resources to Education and Training.
- Infrastructure Development
- Regulatory Structure: Monetary Assistance and
- Rewards Public Awareness and Involvement
Cooperation & Joint Ventures:
The need for trustworthy and governed AI is well understood, but barriers are making it difficult for surveyed companies in India to put into practice:
- IT professionals are largely in agreement that consumers are more likely to choose services from companies with transparent and ethical AI practices (98% strongly or somewhat agree) and 94% say being able to explain how their AI reached a decision is important to their business (among companies exploring or deploying AI).
- However, despite understanding its importance only a minority are taking key steps towards trustworthy AI like reducing bias (36%), tracking data provenance (46%), making sure they can explain the decisions of their AI models (52%), or developing ethical AI policies (46%).
- The top barriers to developing trustworthy and ethical AI are the lack of an AI strategy (57%), lack of company guidelines (55%), and lack of AI governance and management tools that work across all data environments (55%).
Among surveyed organizations in India, AI is already having an impact on the workforce:
- Among companies citing AI’s use to address labor or skills shortages, they are tapping AI to do things like reduce manual or repetitive tasks with automation tools (63%), automate customer self-service answers and actions (63%), or use AI to improve recruiting and human resources (56%).
- 46% are training or reskilling employees to work with new automation and AI tools. 51% said that employees at their organization are excited to work with new AI and automation tools.
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