A key resource on the dynamics of digital transformation for CDOs and other senior executives, looking into corporate culture, governance, leadership and management drivers
Many organizations are understandably hesitant to adopt gen AI applications, citing concerns about privacy and security threats, copyright infringement, the possibility of bias and discrimination in its outputs, and other hazards.
The key is to focus on soft ROI for initial AI projects, as this will steer your organization toward a sustainable, hard-ROI-oriented deployment of GenAI moving forward.
Uncover the 11 major barriers to AI adoption and learn effective strategies to overcome them, enhancing efficiency and innovation in your organization.
Before jumping into an AI strategy, organizations need to ensure that their architecture can support AI applications, and that means modernizing that underlying architecture.
Strategic alliances are a must for companies looking to build value from generative AI. But approaching them like traditional vendor arrangements won’t work.
Enterprise organizations are not merely seeking point solutions; they are pursuing a comprehensive architectural overhaul that places AI at the core of their strategies.
Generative AI helps companies reduce costs, create workplace efficiencies and improve the customer experience. A recent report from EXL shows how to put your AI strategy into operation.
The launch of GenAI represents great promise and significant risks. Here is a five-point framework to steer you through the turbulence and capture value.
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