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The future of automation with AI

Presented by

Sue Tripathi Ph.D, Industry Thought Leader | Data, AI, Analytics

About this talk

In an ever-changing disruptive and very challenging world, the combination of digital platforms, automation and AI have transformed how businesses interact, communicate and execute to meet and exceed client outcomes. COVID-19 accelerated the advent of the future of automation with AI. As the global economy becomes more accustomed to automation and AI, changing the nature and speed in how we consume data and information, organizations and industries are learning to synchronize with the new realities of the future of automation with AI. The largest impact of this is felt in the workforce and across several industries, in manufacturing, healthcare, retail, real estate and the like. Concrete examples of how automation and AI aided growth in multiple industries include, but are not limited to: - Using AI-backed analytics and data to reduce unplanned downtime - Improving efficiency and product quality, such as the use of co-bots, collaborative robots assisting humans in complicated tasks - Product augmentation - Enhancing a customer’s experience in their “buying” journey It is evident through these examples that the future of automation with AI is here to stay. However, many organizations struggle with re-skilling, up-skilling, retaining and training their existing workforce who may be resistant to the speed of change. While machines do and will continue to fulfill certain functions, complex functions and roles still require human assistance to enable true business transformation. Tune into this webinar, presented by industry thought leader, Dr. Sue Tripathi to learn: 1. The current and future state of automation with AI 2. The impact of the future state on the workforce that generates a different type of value in their roles and businesses 3. Working knowledge of the latest technologies used in various industries that have shown good results 4. Concrete examples of how the future of automation with AI has helped in meeting client needs
Enterprise Architecture

Enterprise Architecture

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