Will AI be the new UX?

What is a fable in science fiction today becomes a fact tomorrow. Sci-fi folklore have long foretold of a fascinating future where earthlings are able to attain the ultimate synergy with intelligent androids. From Tom Cruise in the neo-noir movie “Minority Report” using wireless-gloved hand gestures to manipulate visual data dexterously on a floating panoramic computer screen to a drone delivering a package to Gillian Anderson in the TV series “The X-Files,” that alluring future is now at our doorstep in the avatar of Artificial Intelligence (AI).

The paradigm shift in outlook towards AI gained formidable credence among the masses mainly due to cyborg-oriented franchise flicks such as “The Matrix,” “The Terminator,” and “Transformers,” despite depicting the implausible dystopian destiny where robots rule earth.

AI is adept at creating more swiftly than what nature takes hundreds of years to perfect. The global AI market will rake in close to a whopping $60 billion by 2025¹. Be it autonomous cars, virtual assistants, telemedicine diagnostics, predictive searches, or voice detection and facial recognition in gadgets, AI today has become omnipresent and omnipotent.

A few years ago, the popular perception was that an AI-powered tool was least likely to write a blockbuster film that earns an Oscar or author an international bestseller that would win a Pulitzer Prize for literature. However, powerful algorithm-driven automatons dispelled the longstanding view that ‘creativity’ was beyond a machine’s capability by leveraging machine learning, deep learning, and natural language processing (NLP).

Nowadays, thought-processing systems not only can teach itself instantly from scratch about complex virtual-world behaviors by adopting advanced reinforcement-learning techniques, but also can actually decipher the human mind and process commands accordingly. This cognitive computing is a colossal game-changer because it not only securely integrates the human technician with the computer network, but also scales up seamlessly for an assortment of bionic applications in a cloud-based framework.

Imagine you need to create the right content for the right customer in the right context and on the device of their choice. Armed with AI, you could quickly create semantically rich, consistently structured, modular, format-free, adaptable, discoverable, reconfigurable, reusable, and text-to-speech content. Employing Natural Language Understanding, Natural Language Generation (NLP offshoots), and metadata, AI comprehends nuances of document sentiment at a granular level, identifies and refines the content components, and optimizes the presentation of customized information sets on a target appliance with relevant recommendations.

On a visit to an art exhibition, your smartphone could promptly offer you deeper insights about that painting, photograph, or manuscript by harnessing augmented reality and learning data representations. Behind the scenes, the phone’s processor deftly deduces the content’s semantic structure, emotions, and aesthetic qualities of animations, images, and illustrations. Applying real-time big data and contextually aware software applications, it assimilates, translates, and validates pieces of data and converts them into nifty readable articles across feasible channels nippily.

With AI, the possibilities are limitless for synchronizing user experience (UX), decision-making, ROI, and personalized digital solutions.

Endnote

https://www.statista.com/statistics/607716/worldwide-artificial-intelligence-market-revenues

About the Author

Sandeep Kumar Debnath, Technical Publications, Wipro Limited

Sandeep has over 17 years of experience managing and delivering next level documentation solutions. His skill set ranges from technical writing, content writing, instructional designing, training, recruitment, to sales and marketing. An avid reader, quizzer, and chess fan, he possesses a deep passion for both technology and business.

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