From Mobile-First to AI-First

We’re all mobile already; what’s next?

It has been three years since Google first adopted their AI-first strategy, gradually transitioning away from the mobile-first approach, which dominated much of the last two decades and is still the focus of many technology-forward companies today. Google explained this move as a transition from a ‘company that helps people find answers to a company that helps you get things done.’ Many of the tech giants agreed and followed in their footsteps.

Whereas a mobile-first strategy focused on helping smartphone technology proliferate worldwide, an AI-first approach takes the device and turns it into a versatile and intelligent assistant that helps users accomplish more. We’ll see why this is important next.

Artificial intelligence: high impact, rapid adoption

Whereas the adoption curve for mobile technology was much steeper in the beginning, the barriers to the wide proliferation of AI are practically non-existent. In most cases, we already have and use the technology needed to enable AI. Thus, doing so is often a matter of developing the right tools and applications that can run on existing hardware (enterprise servers, personal computers, mobile devices, IoT gadgets). The fastest and easiest channel for distributing AI-powered tech to consumers, is of course, the smartphone that nearly everyone today uses.

What makes up an AI-first strategy

Though it may sound abstract, artificial intelligence is simply an amalgam of technologies that are, for the most part, invisible, yet capable of delivering tangible business results. These include data-collecting sensors (IoT), machine learning algorithms, robots, data analytics and wireless connectivity.

When devising an AI-first strategy, companies must first identify the business-wide challenges they would need help solving, then think of creative ways in which artificial intelligence can help solve them.

AI redefining user experiences

An organizational area where AI can be rapidly applied is user experience (UX) and customer experience (CX). Through the in-depth collection, processing and analysis of user behavior data, AI can help companies provide extraordinary, personalized experiences that help them stand out from the competition. By analyzing the usage of SaaS products, apps, or websites, artificial intelligence can be used to customize user journeys in real-time, thereby increasing user engagement, satisfaction, and retention, and driving sales.

AI-first enterprise functions

In addition to helping revolutionize user journeys, AI technology can help modernize manufacturing, operations, finance, marketing, business intelligence, transport and logistics, customer service and technical support functions, to name a few. Even though applying machine learning to complex organizational areas isn’t a simple and straightforward process, the benefits are sizeable and accessible to forward-thinking enterprises who are ready to bet on innovative technology.

Why adopt an AI-first approach?

In 2020, the fraction of companies that have adopted AI is still insignificant, which means there is substantial potential for devising unique customer experiences that surprise and delight. What this translates to, more concretely, is customer satisfaction, loyalty and repeat business – something every organization strives to achieve, in both B2C and B2B.

AI technology can – first and foremost – help you get to know your customers better – starting from their purchase patterns and preferences all the way to their goals, dreams and aspirations. Understanding how you can help your target audiences reach these goals is the key to serving them well and offering them unprecedented value. Once you have this data at your fingertips, AI can help you customize the entire CX (customer experience), making it easier for customers to engage with your company, products, or services at every step of their journey.

Not sure how to transition to an AI-first approach? Contact our team for a discussion today!

Copywriter inadanova.com