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Generative AI can significantly enhance various IT functions by automating complex tasks, improving accuracy, and enabling more personalized and adaptive solutions.
In the rapidly evolving landscape of artificial intelligence, the emergence of Generative AI (GenAI) can potentially revolutionize industries across all sectors.
The 2024 Sia Partners Global GenAI survey, conducted among 30 Chief Information Officers (CIOs) and IT leaders is exploring the current adoption state, perspectives, challenges, and strategic investments related to GenAI.
Company size:
Industry:
The survey revealed a notable trend towards the adoption of Generative AI technologies among enterprises. Over 58% of respondents indicated already implementing GenAI solutions. This surge in interest underscores the growing recognition of AI's transformative potential in enhancing productivity and innovation.
Among the identified use cases, several prominent applications emerged:
Knowledge base management: For 60% of respondents, knowledge base management improvements such as automated content creation or updates, contextual search and summarization or personalized recommendations can enhance productivity in their day-to-day activities
Software code generation: 59% of respondents identify automated code generation or optimization as the second most profitable use case.
IT service management: Through automated incident resolution, proactive monitoring and maintenance, and personalized IT support, 42% of respondents acknowledged they will be able to spend more time producing concrete value for their customers.
Cybersecurity: For 40% of respondents, threat detection and response, and adaptive security policies can make easier their compliance with continuously evolving regulations.
Despite the enthusiasm, significant obstacles limit adoption of GenAI:
Budget and costs: For 31% of respondents, GenAI implies high initial costs, and generates complementary costs such as research and development, operational maintenance, and infrastructure costs
Security and confidentiality: 30% of respondents consider GenAI faces data privacy concerns, as well as ethical considerations and model security issues that have to be tackled within the company
Maturity of technology: For 15% of respondents, GenAI is not mature enough to start investing
Sia Partners offers a wide range of services to help our clients understand and manage the evolving GenAI technologies. We understand the challenges companies face in the GenAI implementation and maintenance and are actively helping them to address these 3 key areas:
GenAI Strategy:
Maturity Assessment: We assist organizations in conducting a GenAI maturity assessment and set out implementation roadmaps to achieve organizational goals
Strategy and Vision: We help organizations in building a long-term GenAI strategy
Architecture and Make or Buy decisions: We build decision frameworks for make or buy arbitration and provide architecture recommendations for GenAI technologies.
GenAI Transformation:
Target Operating Model: We help building target operating models with GenAI at the centre of the transformation
Excellence Center: We provide leadership, best practices, research, support, or training on GenAI technologies
Governance and Green GenAI: We assist organizations in their definition of GenAI Governance and provide best practices for ethical and green use of GenAI
GenAI Product Management:
Product Roadmap: We support organizations in building their GenAI product roadmap to match with short and long-term objectives
Product Management: We help organizations in the management of GenAI products. We also lead proofs of concepts on Gen AI technologies.
Return on Investment: We assist organizations in the optimization of their return on investment for GenAI products
GenAI People and Change:
GPEC and Strategic Workforce Planning: We assist organization in the planification and allocation of their resources
Academy and Culture: We help organizations build GenAI Academy to raise awareness and spread an AI-oriented culture
Change Management: We provide organizations with change management roadmaps and best practices to maximize adoption of GenAI technologies