Why AI is the new UI



Changing Relationship With Technology

AI technology is already taking a larger role in user experiences across various interfaces. Think of people’s conversations with chat bots on the web, their mobile phone queries to Google Now, and their requests to Alexa on an Amazon Echo speaker at home. In each of these examples, people are interacting with technology through an AI intermediator.
This is a much more natural, intuitive way to relate to technology. In fact, we’re starting to treat technology like we treat each other. So instead of accessing a website to find information or a mobile app to complete tasks, we’re talking to the AI, making decisions with it, and getting what we need and want through it.
This is an absolute game-changer. The slew of artificial intelligence technologies—natural language processing, computer vision, machine learning, intelligent automation, robotic process automation, deep learning and more—will fundamentally alter our relationship with technology. 
This changing relationship will have major ramifications for how digital businesses build systems. And it will unlock many new opportunities to help customers and employees accomplish their personal and professional goals in their lives and at work.

Evolving Role of AI

Natural, more human-like interactions with technology are becoming the new normal. Think about your satisfaction when an AI intermediator understands a request…and your frustration when it doesn’t. As intelligent enterprises integrate AI technologies into their systems, customers and employees will expect even more from these interactions.
People are already relying on AI as a curator (see Figure 1), collecting and interpreting large amounts of data and then presenting it in a relevant way. Executives, for example, might depend on AI for a dashboard for up-to-the-minute manufacturing productivity; individuals are increasingly seeing AI deliver weather updates for a pending travel schedule or reminders tied to a specific location.
In a more significant role, AI applies machine learning to guide actions toward the best outcome, thus working in the role of advisor. In the auto insurance industry, for example, adjusters use Tractable’s deep learning systems to simplify the triage process after a car accident. Instead of manually scanning pictures, they use machine-trained estimates for repair costs, enabling agents to accelerate a claim past triage and into repair, salvage, or appraisal.1
At the height of sophistication, AI works as an orchestrator. It collaborates across experiences and channels, often behind the scenes, to accomplish tasks—and learns from interactions to help suggest and complete new tasks. 
Accenture-Ai-Roles-Thumbnail-1.jpg
FIGURE ONE: AI ROLES

Building Responsible AI

As artificial intelligence becomes people’s “go-to” technology, it will require enterprises to step up to a new challenge: creating responsible AI. This not only has business implications, but also individual and societal implications. AI will be successful only if it’s adopted by people, and it will only be successful it if helps provide better outcomes for people and society. 

Build yours today.......



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