AI as a boon of technology has undoubtedly made the human-machine experience seamless and personalized without human intervention. While the US, EU, China has been the forerunner in the integration of artificial intelligence, India flags the use of artificial intelligence across a myriad of industries during the Covid 19 pervasion in 2020 according to a recent survey by PWC.
Business functions like customer service, HR, finance, supply chain, and logistics, sales and marketing, IT, legal and compliance, R &D, etc. In India, the Travel and hospitality sector leads the adoption of AI succeeded by telecom, media, and technology, financial and mobile app development services across the gamut of business units to improve and deliver customer experience in real-time for revenue drive.
APPLE –SIRI
- Siri is a personal voice assistant in all apple products like Apple iPhone, Macbook, iPod. Siri is an AI-simulated machine learning entity that recognizes and processes the voice language of an Apple user to get tasks done.
- A technical interface with wide artificial intelligence human alike “Siri” voice facilitates all-encompassing apple user command or information starting from setting alarm, schedule an event on the calendar, access app to play a song or fetch photo from gallery, calling someone as asked from the contact list, to get direction on google maps to spot a restaurant and book table, etc to name a few actions done by Siri through voice interaction with humans.
- Therefore, a customer or apple user escalates to a hedonist state of experience as AI is driven Siri does all the actions when asked instantaneously. Even the voice assistant converse like a friend or a pro knowledge buff to keep up the expectation of the customer through an incredible machine learning intelligence Human- Machine interface platform.
- Siri’s functioning is based on online data collection processing and interaction through its built-in accessibility to application software in apple devices without violating the privacy policy. It’s an offline data extraction and integration from social media platforms like Facebook of a user are required to develop algorithms to deliver desired response keeping in account the non-intervention to the user online search history is apparently the escalated improved machine learning. Siri action to analyze the behavior, liking, preferences, etc of an apple user for better as well as improvised machine intelligence solution.
Amazon – Alexa
- Data and machine learning power is the foundation key driver of the amazon voice assistant that powers Amazon Echo products, Fire tv, and other third-party products. Alexa technology can do multiple tasks using the voice instruction of a user like playing music, set timer, news update, hands-free call, manage to-do and shopping list, control lights, your thermostat, and much more.
- More API’s and new AI formulated tools to accelerate user experience so that Alexa heightens intrinsic value in people a day to day lives. Development of algorithm using a neural network to make Alexa speaking voice more fluid and human alike. Moreover, Alexa could detect unusual sounds like footsteps, coughing, glass breaking noise when none is in the house thereby put the owner or user on alert if a flag on the situation sets in.
- A novelty in value addition in pertinent to amazon Alexa voice assistance is a predictive analysis of a user or customer latent questions which could actually be the immediate next aligned queries to the former.”Deep learning trigger-based model’ is used by Alexa to apprehend a user’s latent goals or intent.
- Recently, besides the “ Predictive Goal Discovery Model”, AI is also finessing on “Bandit Learning” whereby the machine learning model track whether recommendations are working or not.
- “Amazon Go”, an automated supermarket grocery store mainly in the EU, Australia, the US where customers could walk in, cart items, and walk out while the billing would directly be sent to the customer’s Amazon shopping account. High simulated technology deployment like sensor fusion, computer vision, deep data learning along with facial recognition sensor of a particular shopping customer are some of the AI tools used to give the customer a hackle free buying and billing process to retain customer lifetime value as far as services are concerned.
TESLA INC-TESLA CAR
- The automobile industry and Artificial intelligence goes hand in hand to pace up the transportation lifecycle of human life without encumbrances. Fewer accidents, less pollution, short time taking to the destination, etc are few benefits of using AI to deploy self-driving technology-rich cars in the automobile industry.
- The imperative value for a customer to go for electric cars (EV’s ) over fossil fuel car is low maintenance and operation cost, financial goal achieved in autopilot electric car function, environment-friendly, affordable, reliable safe car design architecture, low noise, electro-magnetic brake mode, etc to name a handful value proposition of Tesla EV.
- Tesla solely owns and operates manufacturing till production to sales rounded off with servicing which mounts the company on an unformidable pedestal in terms of customer perceived value that is the strong foundation of a perpetual company-customer interface.
- A driverless autonomous vehicle is itself a boon to mankind powered by artificial intelligence, big data, and machine learning. Crowdsourcing data generate high data-dense maps, dual AI chip design for better traffic control are some public rollout technological disruption came into media highlights.
- Low-cost long-life battery for sedan model 3 in china is the latest 2020 announcement by tesla which will bring down the cost of cars downhill in comparison to gasoline cars. Tesla Model 3 car has become the world’s most and best selling electric car in 2019-2020.
INDIAN START-UPS USING AI
In recent years, the Indian start-up ecosystem has witnessed a steep rise in the technology market which is driVEN by factors like huge funding, the need for AI-machine learning made products or services, expansion of the domestic market.
Some of the remarkable disruptive AI startups that emerged and bolstered over time are as follows:-
- NIRAMAI HEALTH ANALYTICS (NIRAMAI)
Waiving- off traditional method of breast caster detection giving way o AI wired novel software which could screen symptoms of breast cancer disease of a patient much earlier with help of AI-led diagnostic platform. A patient is likely to get more accurate, cost-friendly ailment screening reports followed by speedy treatment.
- HAPTIK.AI
Haptik is a conversation AI start-up that helps brands to transition their customer experience more accurately in real-time. Backed by reliance industries, there are 100 virtual assistants to give desire solutions to the customers at the drop of a hat. Customer support chatbot is their SAAS solutions catering to JioMart, StarHub, Junglee Games, etc.
- CROP IN
A foray of AI in the agricultural sector, CropIn saas software tech solutions to agro-farming clients or companies with a gamut web-based data platforms to give accurate and timely data-led insights on soil, crop health, and growth, farming activities real-time view, inventory management on Cropin software or app like a smart firm, smart sales, etc have been instrumental in time minimization and productivity maximization approach.
Hence, in a nutshell, the emergence of artificial intelligence since 1956 has undoubtedly catalyzed technology through novelty in innovation, evolution to make human life as a customer or user a bliss along with mobile app development.
