In the past few years, we’ve noticed that our lives have become a slave to Artificial Intelligence apps. We’ve arrived at a situation when for even ordering a pizza or booking a cab, we prefer Siri to get the work done rather than ourselves.
With the increase in Artificial Intelligence mobile app development – the fad for relying more on these programs have reportedly taken a boost! We cannot even imagine going a day without Siri, Google, etc.
Harvard University is awarded $28 million by Intelligence Advanced Projects Activity (IARPA) for a project based on Artificial intelligence (AI) apps. The project’s aim is to set up more fast and smart Artificial Intelligence apps which can simulate the human brain.
A leading newspaper of social media and technology provided some interesting facts –
AI would have replaced 16% American jobs.
40% mobile interactions would be managed by smart Artificial intelligence apps, not human. These apps would take commands from the user by face and speech recognition.
More than 6 billion connected devices would ask for Artificial intelligence companies’ support in order to be in the race.
Here is the overview of this article
- How does artificial intelligence impact the business?
- Most powerful AI apps, their development and their strategies in IT world.
- Overview and opinions of top Artificial Intelligence companies and their take on AI research.
- The processes involved in AI app development to enhance the productivity of an application.
- Future of AI in the e-commerce era.
Artificial Intelligence development has impacted e-commerce in a very significant way.
Do you know how much revenue Pokémon Go achieved till date? It is $268 million. Daily an android user spends 43 minutes of his time on this game. Pokémon Go has more than 100 million downloads and 20 million regular active users till now. Pokémon Go came into existence because of artificial intelligence. Whole game works and enhances based on robust AI. Let’s look at some strong AI impacts in business.
The touch screen feature itself is an example of AI impact in mobile app development.
Human resources can be utilized to their best potential. If a person is capable of taking a quality decision regarding a product, then what is the point of keeping this person in manual packaging? AI gives relief to employees from hassling work and give them the opportunity to do value addition in the business.
AI brings stability in the system. Mobile apps lose their 77% of users in first 3 days. Machine learning algorithm helps companies by improving performance.
The customer can be provided personal experience. For example, L’Oreal mobile app gathers information related to customer preferences through some questionnaire, diagnoses user problems and helps the user to choose the best product.
Innovation can happen through AI. A company can launch a new product which was never in the market with the help of AI incorporation in the analysis.
AI is cost effective. Once AI is involved in mobile app development, the cost of human labor, analysis, quality check etc. can be hugely saved.
Most appreciated Artificial intelligence mobile app development and their strategies
Mobile apps and sensors made a remarkable combination in the Artificial intelligence development area. More Artificial intelligence apps are emerging in the market. The layman is now able to perform many tasks at home only. AI personal assistant helps saving time and energy for the user. It helps in checking whether, scheduling tasks, emails, sending messages etc.
Yes, the name is from Ironman series. Jarvis is your personal virtual assistant. You can select the preferred voice for Jarvis also. It is the best amongst its kind. You can tell Jarvis to play your favorite song or turn on the torch etc.
Undoubtedly it is an intelligent one. You ask it any question and it will tell you an answer. Not only that, it would adapt to your style as well.
This personal assistant has a fun element, too. You can ask about places & directions. You can tell it to update an app also.
It acts like Apple’s Siri, it takes every voice command as a voice assistant. Also, it acts as task scheduler and calendar.
It comes with very good GUI. It listens to your voice commands. It can read out messages or emails for you. It has a special ‘car mode’ for this.
It brings all Google services like Gmail, YouTube, Calendars, and Maps under one roof and it presents these to the user according to the need.
It opens web pages on voice commands. It also accepts voice commands for phone settings like display, sound etc. and network settings like Wi-Fi, Bluetooth etc.
Artificial intelligence Companies who invests in research are the future game changers and profit earners of the market.
A forecast says that by 2020, AI research market will reach to $5.05 billion for healthcare, finance, SEO, retail and almost everything. More than 6 billion devices would demand strong AI support to get rid of new generation crisis. Research is always the pioneer of innovation. The big tech giant has taken it very seriously. Let’s have a look at their take on AI research.
Google has its AI team called Google Brain. TensorFlow is the processing unit hardware bought by Google Brain for background work in infrastructure. Google has started implementing AI in the services, products, deployment from many years. Google brain has produced 20 papers and 3 oral presentations in AI. It has collaborated with Stanford, OpenAI, Deepmind and Berkeley for flexibility in AI operations.
Facebook’s AI research department is known as FAIR. It started 2.5 years back. FAIR has more than 60 researchers with the impression of quality and productivity. It has opened 3 AI research labs in America. It also acquired Face.com and Wit.ai which are known for face recognition and voice based bots respectively.
IBM first started AI in the 50s. It also made 3 acquisitions. Watson is its project based on AI. It is related to revealing of unstructured data through machine learning and NLP.
It stands at no. 1 position in AI research now. They have hired an intelligently diverse team for its research projects. Most of them are from Cambridge or Oxford. Their projects include the area of Deep reinforcement learning, transfer learning, Robotics, Bayesian Neural Nets etc.
Amazon is the super seller in e-commerce. It has incorporated artificial intelligence mobile app development in both products and services. Amazon machine learning platform works towards predictability of products using patterns of data. It has intelligent voice server, Alexa which brings services to the home through Amazon Echo.
It is J.P Morgan and its investors AI platform. It has received $180 million funding amount to cater requirements of consumer robotics for daily routines. One of its robots is Cozmo. It is a flagship robot which understands human emotions.
Siri is Apple’s speech recognition assistant. It has turned into the full-fledged digital assistant now. The reason behind is that Apple is investing hugely in AI startups from past few years.
Intel acquired Nervana systems for machine learning expert systems. It has bought AI in open source with AI’s libraries and machine learning frameworks.
Involvement of intelligent processes makes AI apps unique in the world.
Gartner stated that by 2020, 85% of customer interactions would be accomplished by customer’s personal virtual assistant. So big marketers like Facebook and IBM have started using GPU not CPU. GPU stands for Graphical Processing Units for 3-D applications. Now GPU is not limited to games and manufacturing companies. It takes human face features in 3-D, process and provides the output. AI process has been advanced with GPU’s presence. Let’s see the elaborated AI process in the current technological scenario.
Here, Automation means replacement of the human brain with the application. For example, Google Mail has developed an AI system which puts emails in spam by recognizing words written in emails. Brainvire has developed automated mobile applications.
Here, every time machine encounters something new, it enables the system to incorporate new arrival. Think about the keyboards in WhatsApp, suppose you have written your address once. The next time when you write the first word of an address, it will prompt you for remaining words one by one.
Machine vision means the ability to give information which is directly not readable. Take Barcode Scanner, this app would scan the material and provides its details like price, weight etc.
Natural Language Processing (NLP)
NLP takes customer’s demands/choice or something else, understands its meaning and does the work accordingly. A chatbot is this kind of mobile application. Facebook and Google use it for many years.
It translates human speech into some understandable format of a mobile app. Apple’s Siri is such app which understands the user’s voice commands and transforms them into action.
Planning and Scheduling
This kind of apps create a sequence of actions and provide assistance in the execution of those actions. A Calendly is a mobile app for scheduling an appointment with people according to their timings.
Instead of discussing AI’s future in mobile app development, we should discuss mobile apps’ future in Artificial intelligence development.
AI has already shown its importance. Now the point is not to do why but it is a point of when. Every user wants a personal experience and in order to give it, AI is essential. Voice recognition system has boost 32% in productivity and created new jobs as well.
Let’s look at some future AI trends which would drive mobile app development on higher roads.
Medical care is always advanced through technology. Technology speeds up and improves the medical process. In terms of mobile apps, there are many health trackers, fitness tracker apps which give you a certain amount of analysis and tips to go ahead. For example, Google Fit tracks walking, yoga, running or cycling kind of activities of user.it also records speech and keeps you motivated. In a way, now AI will help surgeons to achieve a higher degree of accuracy in operations.
Photo organizing is also making its mark in AI. There are many applications in this field, for photographers as well as laymen. Facebook, itself is using these AI algorithms for photos organizing. The Roll is an app which scans the entire photo album and groups similar photos in one album without human intervention.
As we have seen above, Voice recognition has already made a significant impact in the provision of personal assistant. More and more research work is taking place in this area. Day by day, new apps are coming with improved and additional features.
Amazon, Google, Facebook, Apple such big giants have chosen AI as a weapon to conquer the world. This AI companies have identified the need for a human personal assistant as a key area to focus on. Diverse sphere professionals are opting for AI in order to have quick, cost effective, practical and secure applications.