Artificial intelligence, one of the most talked about technologies in recent times actually started its journey way back in 1950’s when the concept and term were first coined. Ever since the launch of that concept users worldwide believed that slowly machines would start performing tasks intended for machines. So there was huge enthusiasm concerning robotics that lasted for decades.
Finally, we have Artificial Intelligence for the mobile interface and a connected environment that continued to become the biggest and most influential proponent of the concept as of now. The launch of IBM’s Watson at the beginning of the previous decade was appreciated around the world became the hallmark of a new beginning.
But it was only with a smartphone, and voice-enabled digital assistants AI took over the mobile interfaces.
Now, we have AI in almost every handheld and connected device. From the digital assistants which quickly replies to queries with immediate answers and results to chatbots capable of guiding web traffic and app users to devices responsive to voice commands at home and workplaces, machines are behaving like human and learning from user actions more than ever before. It is needless to mention that mobile apps have been the biggest beneficiaries of Artificial Intelligence as of now. Thanks to AI apps became smarter, user optimized and responsive more than ever before.
Personal experience is what allowing AI breakthrough
Personalized user experience is the biggest draw for AI in the majority of mobile apps. For instance, Starbucks just launched a new AI-powered app named “My Starbucks Barista” which can place an order for customers just by listening to them. TacoBot released by Taco Bell is another such chatbot that can recommend menu and interact with customers besides placing an order.
All these enhanced and smart capabilities only refer to the increased demand of personalisation from mobile users and AI is making this possible. Today's smartphones having awareness about the user location and several attributes concerning user context AI capabilities being incorporated into mobile apps of all niches, addressing user contexts and accordingly serving them solutions and contents will be increasingly common in the time to come.
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Alexa has already set the bar high
Digital personal assistants almost became common ever since Siri’s phenomenal success across iOS devices. But that was just the beginning, and soon a plethora of voice-controlled smart digital assistant apps began to outpouring in the market. From
Google Home to Microsoft’s Cortana to Samsung’s Viv, we have come a long way of this evolution. But the Alexa from Amazon just set the bar even higher with its awesome capacity to allow smart interaction with connected home gadgets.
The best thing about Alexa is that it allows interaction in a seamless as well as the intuitive manner and can understand natural language. Some of the other capabilities that set Alexa apart from the rest include predictive messaging and user context focused interaction. Though Google Home has the advantage of coming with more answers to user queries Alexa can allow more room to developers for building third-party apps. Alexa comes with awesome capabilities to interact in a context-aware way with every specific user and third-party developers can reap benefits through this.
Artificial Intelligence is also about monetization
Artificial Intelligence is being predicted by Forrester Research as a driving force behind mobile app monetization. Particularly with mobile ads, AI can play a great role in assessing the audience and coming with insights about user contexts. Thanks to AI ads can be better targeted, audience-specific and less irrelevant for users. With AI the marketers can spend on ads that can really deliver them business.
Whether you are playing a mobile game or shopping on a retail app, ads continue to come with their distraction and luring messages. While most users find them depreciating for user experience, some ads surprisingly achieve get traction with some users just because they appear just in time when the respective users are likely to respond. So, knowing user contexts and user behaviour is a most important aspect in this regard. With AI driven insights marketers can now deliver ads that achieve more traction than blindly spending on ads.
B2B apps getting the push of data-driven decision-making
AI will also create a big push for B2B apps targeted towards professional and business audience across niches. As data volume increases exponentially, every company has to deal with solutions that can draw relevant insights from this pool of data. While data will push precise and more effective decision-making, the mobile analytics powered by Artificial Intelligence can offer unprecedented precision in this process. For B2B mobile apps catering to the business community, associates and stakeholders, AI can bring the power of faster decision-making.
Let's just cite some real-life examples of how B2B mobile apps can be benefited by AI. When you are making a presentation to another business through a mobile interface, thanks to AI the app can fetch additional business information and screenshots of your website wherever they are required for the context.
The best thing about AI in business apps is that it can minimise the time taken for a regular decision-making process. From real-time access to multiple data to real-time analytics and collaboration, AI in B2B apps can do more wonder than ever expected. All data confirms to our optimistic stance concerning AI in mobile business apps. Though all predictions indicate a never before growth for the AI in business apps amounting trillions in a decade or so, only just couple of thousand companies in entire North America are actually using AI as part of their high-tech game plan. So, the untapped market will continue to propel growth for AI-powered business apps in the time to come.
Let's agree now that AI still now has not become the new normal of mobile apps at large. But when it comes to cutting-edge technology to make apps smarter and effective we cannot think any further than Artificial Intelligence, and that is AI is likely to stay at the centre of innovation in mobile apps.