AI ARTIFICIAL INTELLIGENCE :-

ARTIFICIAL INTELLIGENCE :-


AI

vaibhav patil
vaibhav0222@gmail.com

Often referred to as industry 4.0, the 4th Industrial Revolution is the shift to smart factories that use a combination of cyber-physical systems, the Internet of Things and the Internet of Systems to connect the entire production chain and make decisions on its own. Not only is this revolution possible due to new technology, but it combines the physical, digital and biological worlds. There are great opportunities as well as tremendous risks within this transformation, and there will be no industry or organisation who won’t be impacted in some way.

industry

fashion retail industry.

Commuting transport

optimizing delivery routes

fast-moving consumer goods category

on-demand music service

flying taxi

speech to text and

natural language processing.

extract info about purchasing habits.

Samsung it combined all smart programmes into a new Smart Things app that makes it easier to connect and control all devices

devices

voice-activated devices

speaking devices

Spoken interfaces

autonomous vehicles.

look for patterns

Internet of Things

machine learning

commercialise its robots,

sensors on cars,

smartphones

data analytics tools

big data technology

5G

Weather reports, music and the latest headlines.

drones

Products

Alexa, Siri and all the other speaking devices

Google Home Chatbots

Samsung’sBixby speaker to compete with Google Home and Amazon Alexa.

Samsung’s AI robot Saram

flying taxi

mercedez autonomously driving truck

Transportation Service

beer market

How

Wikipedia

algorithms have created more clarity about who is contributing to the community’s toxicity, Wikipedia can figure out the best way to combat the negativity.

Jaguar Land Rover unveiled Sayer—the company’s voice-activated intelligent steering wheel.

steering wheel will revolutionise the way you drive, it will also become your new connected mobile device and voice assistant

Jaguar Land Rover is already developing technology to create the world’s first self-learning car.

By leaning on the latest artificial intelligence techniques, the car “learns” the driver’s habits and preferences such as how they like the car seat positioned, what radio stations they tune into at different parts of day and more. Once the car learns these nuances, and they recognise a driver through a key fob or phone, the car automatically adjusts settings for the driver. Tests also show the possibility for the car to send alerts to the driver before they leave home to remind them to bring items on the road so they are never at risk of forgetting something at home.

Project Cortex, technology such as video, radar, light detection, distance sensing and more are combined to allow the car to adapt to any environment.

UK government. Ministers of the Department for Work and Pensions (DWP) have rolled out and tested AI to automate claims processing and fight fraud within their department.

track down large-scale corruption of the benefit and welfare programme

AI identifies possible  fraud issues faster than human investigators

If you claim single status and you post pictures of your wedding or spouse, it’s suspicious to the AI algorithms.

Universal Credit, Jobseeker’s Allowance and Personal Independent Systems

The same intel that helps Starbucks suggest new products for to try also helps the company send personalized offers and discounts that go far beyond a special birthday discount. Additionally, a customized email goes out to any customer who hasn’t visited a Starbucks recently with enticing offers—built from that individual’s purchase history—to re-engage them.

Determine new store locations

It’s common knowledge that the right location is essential to succeed in retail. The Starbucks market planning team doesn’t rely on their gut feelings to determine where stores should be located, but taps into the power of data intelligence through Atlas, a mapping and business intelligence tool developed by Esri. This tool evaluates massive amounts of data, such as proximity to other Starbucks locations, demographics, traffic patterns and more, before recommending a new store location. This system even predicts impact to other Starbucks locations in the area if a new store were to open. Even though it feels like there’s a Starbucks on every corner (and some so close to each other you might imagine that they would cannibalize sales from one another) rest assured the data told them to build it.

there are 87,000 drink combinations available at Starbucks they continue to monitor what drinks sell the best to continue to make menu modifications.  

HANA (Honda Automated Network Assistant) who can read the driver’s emotions and adjust the music, temperature and more in response. HANA can also remind the owner of important dates and help make reservations and appointments. Realising that around 96 percent of the time vehicles are in garages, parking lots and driveways, Honda’s NeuV would be an automated ride-sharing vehicle that could be summoned to pick up and drop people off when the owner is not using it thereby becoming more valuable to the owner because it can monetize its downtime.

The Sports EV concept aims to have the driver and car communicate with one another.

Benefit

Benefit fraud at the hands of criminal gangs cost the Department of Work and Pensions nearly £2.1 billion in 2016, a rise of £200 million in just one year. The losses to fraud equate to the entire budget of the Foreign Office, which is £1.1?billion annually

the country the world’s most innovative nation by 2030

place an order through voice command

deliver personalized recommendations right to their door on a regular schedule.

70 percent of the world’s data is produced and stored on Samsung’s products, sells 500 million connected devices a year.

Honda’s   understand the messages and make sense of the enormous amount of customer feedback, mainly unstructured,

transform commuting.

optimizing delivery routes

Autonomous deliveries and drones

Sensors on soap dispensers, air fresheners, entrance doors and more collect data that is then sent to the cloud-based app. Facilities managers can access the data from mobile or desktop to monitor the condition of the property's restrooms, and they don't have to be on-site. A pilot study of the Intelligent Restroom app showed the number of supplies used decreased by up to 20 percent when the app was deployed.

what songs get the most play time,