Over the past 30 years, no technology has reshaped businesses entirely—until generative AI. Now, AI drives business transformation. Data readiness remains crucial for AI success.
Data Services
A survey by Precisely found that only 12% of organizations have data of sufficient quality and accessibility for AI initiatives. Establishing a robust data foundation is essential for companies to fully leverage AI and generative AI technologies.
Responsible Ai
A survey by PwC revealed that only 11% of executives have fully implemented responsible AI capabilities within their organizations. To harness AI’s full potential, it’s crucial to establish robust governance frameworks, ensure transparency, and foster accountability throughout the AI lifecycle. By taking deliberate steps to operationalize responsible AI, companies can build trust, mitigate risks, and enhance overall business performance.
Generative Ai
While 65% of organizations are regularly using generative AI, only a fraction have significantly invested in scaling these technologies across functions. By fine-tuning large language models (LLMs) with proprietary data, companies can enhance productivity, accuracy, and contextual relevance in their operations.
Ai Strategy And Value
Utilize generative AI to continuously evaluate your value chain and identify areas for the greatest ROI. By leveraging AI’s analytical capabilities, you can unlock ongoing improvements and drive sustained value creation across your enterprise.
Ai Talent And Workforce
Generative AI is transforming the workplace, with 56% of U.S. employees already using these tools for tasks such as drafting content and brainstorming ideas. However, only 26% of organizations have established policies guiding AI use. To fully harness AI’s potential, companies must proactively train employees, restructure teams, and redefine workflows to integrate generative AI effectively. This approach not only enhances productivity but also ensures responsible and strategic AI adoption across the enterprise.
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