数据驱动的创新：释放生成型人工智能的力量

in collaboration with Executive SummaryIntroductionGenerative AI & the Power of DataHow Generative AI WorksGenerativeAI: Reshaping OrganizationsChallenges & Opportunities ofGenerativeAIIndustry Specific Use CasesStaying Ahead inGenerativeAIGenerativeAI Ecosystem, Top & Niche ProvidersMoving ForwardContent P. 03P. 04P. 05P. 06P. 07P. 08P. 10P. 12P. 13P. 18 Executive SummaryGenerative AI:A Universal Catalyst for InnovationAcross IndustriesGenerative AI’s impact extends across all industries, transcending boundaries to reshapethe way businesses operate. Whether it is optimising supply chains in manufacturing,personalising customer experiences in retail or enhancing decision-making processesin healthcare, generative AI’s transformative capabilities are ubiquitous. Its ability tostreamline operations, automate tasks and provide data-driven insights empowersorganisations across diverse sectors, fostering innovation and efficiency. In anincreasingly interconnected world, generative AI serves as a unifying force, ushering in anew era of technological advancement and innovation for all industries.Unlocking Opportunities:Generative AI’s Potentialfor Organizational GrowthGenerative AI presents organisations with abundant opportunities amidst its specificchallenges. These challenges, including data harmonisation and privacy, increasingcomputing needs, and data residency requirements, offer a platform for growth.Organisations can use Synthetic Data Solutions for privacy and insights, offer ComputingCapacity as a Service (CaaS) for efficient scaling and implement Data LocalisationSolutions for compliance and trust. These strategies pave the way for organisationsto address the unique challenges of generative AI and fully embrace its inherentopportunities in the evolving data landscape.Strategic Collaborations:Maximizing GenerativeAI’s Value PropositionTo fully harness the potential of generative AI and cover the entire value chain effectively,a strategic partnership approach is imperative. Collaborating with AI model developmentexperts provides organisations with access to specialised knowledge, high-quality datasources and ethical expertise vital for successful model deployment. These partnershipsfacilitate responsible data collection and utilisation, ensuring that generative AI modelsnot only meet statistical accuracy standards but also adhere to ethical guidelines andsocietal concerns. This approach enables organisations to push the boundaries of AI-driven creativity and problem-solving while ensuring a comprehensive value propositionacross all aspects of the generative AI value chain. Today, everyone is eager to engage in conversationsabout generative AI. Questions about its potential,upcoming developments, concerns and the opportunityfor profit have taken centre stage.Nonetheless, the progress of generative AI has beenunder scrutiny since 2020. It was not until late 2022that generative AI made its grand entrance into themainstream spotlight, all thanks to the ground-breaking launch of ChatGPT.By 2025,an impressive 30% of businesses will have effectivelyadopted an AI-enhanced approach to developmentand testing.By 2026,generative design AI is expected to revolutionisewebsite and mobile app development, automating astaggering 60% of the design workload.IntroductionSource: Gartner,Gartner Experts Answer the Top Generative AI Questions for Your Enterprise,2023 This remarkable chatbot, imbued with the ability toengage in strikingly human-like interactions, wasthe brainchild of OpenAI. ChatGPT’s debut captivatedthe public’s imagination, sparking widespreadfascination.By 2027,almost 15% of new apps will be entirely created by AI,without the need for human intervention. The Power of DataData, often referred to as the lifeblood of the digital age,is the bedrock upon which generative AI thrives. It is notjust any data, but quality data, that serves as the fueldriving AI models to achieve remarkable feats. Qualitydata encompasses accurate, diverse and well-structuredinformation that serves as the foundation for AI training.Without robust data, generative AI would lack the contextand knowledge necessary to produce meaningful andcreative outputs. The synergy between data and generativeAI is profound, as the former provides the latter with theraw materials for innovation.Definition of Generative AIGenerative AI is a cutting-edge subset of artificialintelligence. Unlike traditional AI models that primarilyfocus on processing and analysing existing data, generativeAI possesses a unique capability—it creates new data,content or other outputs. At its core, generative AI is aninnovator’s dream, wielding the power to generate text,images, music and more autonomously. It operates bylearning patterns and structures from vast datasets,allowing it to generate novel and contextually relevantcontent. This ground-breaking technology serves as acatalyst for innovation, fuelling creative endeavours acrossvarious domains.Generative AI & the