As shared by & in words of Andreas Horn, IBM 🚀🚀🚀🚀 McKinsey & Company 𝗮𝗻𝗮𝗹𝘆𝘇𝗲𝗱 𝟭𝟱𝟬+ 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗚𝗲𝗻𝗔𝗜 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 — 𝗮𝗻𝗱 𝗳𝗼𝘂𝗻𝗱 𝗼𝗻𝗲 𝗰𝗼𝗺𝗺𝗼𝗻 𝘁𝗵𝗿𝗲𝗮𝗱: One-off solutions don’t scale. The most successful projects take a different path: They use open, modular architectures that enable speed, reuse, and control. → Designed for reuse → Able to plug in best-in-class capabilities → Free from vendor lock-in This is the reference architecture McKinsey now recommends — optimized to scale what works while staying compliant. It consists of five core components: 𝟭. 𝗦𝗲𝗹𝗳-𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗽𝗼𝗿𝘁𝗮𝗹: → A secure, compliant “pane of glass” where teams can launch, monitor, and manage GenAI apps. → Preapproved patterns, validated capabilities, shared libraries. → Observability and cost controls built-in. 𝟮. 𝗢𝗽𝗲𝗻 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 → Services are modular, reusable, and provider-agnostic. → Core functions like RAG, chunking, or prompt routing are shared across apps. → Infra and policy as code, built to evolve fast. 𝟯. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗴𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀 → Every prompt and response is logged, audited, and cost-attributed. → Hallucination detection, PII filters, bias audits — enforced by default. → LLMs accessed only through a centralized AI gateway. 4. 𝗙𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 → Centralized logging, analytics, and monitoring across all solutions → Built-in lifecycle governance, FinOps, and Responsible AI enforcement → Secure onboarding of use cases and private data controls → Enables policy adherence across infrastructure, models, and apps 5. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 → Modular setup for user interface, business logic, and orchestration → Integrated agents, prompt engineering, and model APIs → Guardrails, feedback systems, and observability built into the solution → Delivered through the AI Gateway for consistent compliance and scale #HealthTech# #startup# #biotech# #technology# #ArtificialIntelligence# #automation# #chatgpt4# #OpenAIChatGPT# #data# #healthtech# #IoT# #technology# #5G# #telehealth# #digitalhealth# #mhealth# #startups# #OpenAI# #HealthIT# #ChatGPT账号# #WearableTech# #DataScience# #AI# #Africa# #MachineLearning# #DataBreach# #generativeai# #CyberSecurity# @danfiehn @bimedotcom @chidambara09 @RLDI_Lamy @JagersbergKnut @BetaMoroney @EstelaMandela @CurieuxExplorer @antgrasso @ArchimedesInte2 @enilev @mikeflache @anand_narang @Nicochan33 @IanLJones98 @AlbertoEMachado @FrRonconi @joshinishad83 @SKodineya @rafael52987 @enricomolinari @jeancayeux @healthinovatio1 @sonu_monika @Eli_Krumova @Analytics_699 @SiddharthKS @sulefati7 @devaang @theomitsa @SegundoConnect

𝐀𝐠𝐞𝐧𝐭𝐢𝐜 #𝐀𝐈# 𝐈𝐬 𝐍𝐨𝐭 𝐚 𝐓𝐞𝐜𝐡 𝐒𝐡𝐢𝐟𝐭. 𝐈𝐭'𝐬 𝐚 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐒𝐡𝐢𝐟𝐭. 𝐖𝐞’𝐫𝐞 𝐧𝐨𝐭 𝐦𝐚𝐧𝐚𝐠𝐢𝐧𝐠 #𝐜𝐨𝐝𝐞# 𝐚𝐧𝐲𝐦𝐨𝐫𝐞. 𝐖𝐞’𝐫𝐞 𝐦𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞. Great share in his words by Pradeep Sanyal 🚀🚀🚀 Posting after long time happy #thursday# to all my dear friends :) #HealthTech# #startup# #biotech# #technology# #ArtificialIntelligence# #automation# #chatgpt4# #OpenAIChatGPT# #data# #healthtech# #IoT# #technology# #5G# #telehealth# #digitalhealth# #mhealth# #startups# #OpenAI# #HealthIT# #ChatGPT账号# #WearableTech# #DataScience# #AI# #Africa# #MachineLearning# #DataBreach# #generativeai# #CyberSecurity# #blockchain# #crypto# @danfiehn @bimedotcom @chidambara09 @RLDI_Lamy @JagersbergKnut @BetaMoroney @EstelaMandela @CurieuxExplorer @antgrasso @ArchimedesInte2 @enilev @mikeflache @anand_narang @Nicochan33 @IanLJones98 @AlbertoEMachado @FrRonconi @joshinishad83 @SKodineya @rafael52987 @enricomolinari @KanezaDiane @jeancayeux @healthinovatio1 @sonu_monika @Eli_Krumova @Analytics_699 @SiddharthKS @sulefati7 @devaang @theomitsa @SegundoConnect