While only 2% are ready, most companies expect productivity gains of 10-40% with Enterprise AI: Infosys Research
Enterprises need to prepare themselves in five key areas – strategy, governance, talent, data, and technology – to achieve significant productivity gains from AI
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To overcome these hurdles and realize the full potential of AI, including gen AI, companies must address readiness gaps and foster a culture of innovation. A clear AI strategy aligned with business objectives is essential, encompassing technology investments, talent acquisition, and ethical considerations.
The research outlines five steps to close the gaps and reduce apprehensions about AI to accelerate adoption:
- Develop a comprehensive AI strategy: A strong AI strategy aligns with business objectives, enhances revenue growth, and ensures desirable, feasible, and viable use cases. Only 23% of our respondents show readiness in this area.
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Establish responsible AI governance: AI governance is crucial for managing risks like bias, misuse, and security threats. Only 10% of companies have well-defined governance processes. Responsible AI requires tailored guidelines, and a centralized AI governance team.
Infosys' Responsible AI Office, part of Infosys Topaz, demonstrates this approach by establishing policies to ensure data security and mitigate risks, enhancing AI's value for enterprises. - Upskill the workforce: Despite the critical role of AI in enterprises, only 21% said their employees have the requisite knowledge to adopt AI tools and techniques. Upskilling is key, yet just 12% offer adequate training. Effective AI integration hinges on closing skills gaps and fostering collaboration. Forward-thinking firms are creating AI skill pathways to ensure readiness.
- Prepare data infrastructure for AI: Data health is crucial for AI success but remains a challenge. Only 10% of the companies find their data easy to access, while 30% rate their data accuracy and governance as poor. Enterprises need to constantly assess their systems, improve data quality, and ensure proper storage for effective AI implementation.
- Cultivate a culture of tech-powered innovation: Technology is a significant gap in enterprise AI readiness, with only 9% of companies fully prepared. Investing in foundational technologies like machine learning and automation can improve customer experience, reduce errors, and enhance compliance. Fostering a culture of innovation and employee readiness for AI adoption enables enterprises to create better value.
To read the full report with detailed insights, please visit here.
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Certain statements in this release concerning our future growth prospects, or our future financial or operating performance, are forward-looking statements intended to qualify for the 'safe harbor' under the Private Securities Litigation Reform Act of 1995, which involve a number of risks and uncertainties that could cause actual results or outcomes to differ materially from those in such forward-looking statements. The risks and uncertainties relating to these statements include, but are not limited to, risks and uncertainties regarding the execution of our business strategy, increased competition for talent, our ability to attract and retain personnel, increase in wages, investments to reskill our employees, our ability to effectively implement a hybrid work model, economic uncertainties and geo-political situations, technological disruptions and innovations such as Generative AI, the complex and evolving regulatory landscape including immigration regulation changes, our ESG vision, our capital allocation policy and expectations concerning our market position, future operations, margins, profitability, liquidity, capital resources, our corporate actions including acquisitions, and cybersecurity matters. Important factors that may cause actual results or outcomes to differ from those implied by the forward-looking statements are discussed in more detail in our
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