Generative AI for a competitive product strategy

Executive findings to inform strategy, governance, and AI investments

While expectations (especially from Generative AI) are high, particularly for product and service development, concerns over governance, security and responsible AI has most organizations fine-tuning open-source/commercial generative AI models, with strategies looking towards fully in-house large language models (LLMs).

This ebook examines how Generative AI has shifted the focus of business executives such as Chief Data Officers (CDOs) and Chief Data Analytics Officers (CDAOS), balancing opportunistic use cases for building an AI-fueled competitive advantage with the challenges faced in responsibly operating and scaling AI. It combines findings
from the Capgemini Research Institute with recent independent Domino Data Lab reports to evaluate how Generative AI has renewed the focus on building and operating AI at scale.

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Five Key Findings: A Sneak Peek

CDOs/CDAOs are shifting towards value creation

Generative AI has accelerated the trend of CDO/CDAOs shifting focus to business value creation (76%), spurring new levels of investment.

LLM fine-tuning and development is moving in-house

Governance, responsible AI, and security concerns have 94% of industry leaders building strategies for in-house LLM fine-tuning and development.

Competitive advantage potential must be balanced with risk

While generative AI brings massive competitive advantage to product design and customer experience, operationalization is difficult - and poorly governed models introduce massive risk.

Critical shortages limit GenAI potential

Critical shortages in centralized processes for collaboration and shared best practices, lack of unified AI platforms (supporting AI infrastructure, data, and tools), and talent bottlenecks limit generative AI’s transformational potential.

Late adopters face existential threat

Companies that cannot build and operate their own AI models rapidly face existential competitive threats from those already integrating these technologies into product and service offerings.