One Day Programme: Architecting the Enterprise: AI, Cloud and Data (London, United Kingdom - April 23, 2020) - ResearchAndMarkets.com
Summary
But there is considerable work to be done to create a comprehensive strategy and architecture to be able to turn the stored data into valuable business asset through scalable and flexible Cloud and with AI solutions. Historically, human processes have been based on linear, sequential activities highly suitable to be replaced by cognitive engineering practices such as Artificial Intelligence (AI) and Machine Learning (ML). Organisations are investing in adopting cognitive services, these intelligent algorithms to understand and interpret your business needs through natural languages are help drive omni-channel delivery that are extremely responsive to customer sentiment. Blurring the boundaries of Enterprise AI adoption with Chaos Engineering resilient in the face of unpredictable failure modes, whilst still being able to process huge amounts of unstructured data, embarking onto this third wave of Artificial Intelligence as a Services (AIaaS). One largely untapped area that offers vast potential is the convergence of digital, automation, AI and analytics - technologies that are often viewed in isolation of each other.