9 POWERFUL EXAMPLES OF ARTIFICIAL INTELLIGENCE IN USE TODAY
32% of executives say voice recognition is the most-widely used AI technology in their business today.
Today, Artificial Intelligence is a very popular subject that is widely discussed in the technology and business circles. Many experts and industry analysts argue that AI or machine learning is the future – but if we look around, we are convinced that it’s not the future – it is the present.
With the advancement in technology, we are already connected to AI in one way or the other – whether it is Siri, Watson or Alexa. Yes, the technology is in its initial phase and more and more companies are investing resources in machine learning, indicating a robust growth in AI products and apps in the near future.
The following statistics will give you an idea of growth!
– In 2014, more than $300 million was invested in AI startups, showing an increase of 300%, compared to the previous year (Bloomberg)
– By 2018, 6 billion connected devices will proactively ask for support. (Gartner)
– By the end of 2018, “customer digital assistants” will recognize customers by face and voice across channels and partners (Gartner)
– Artificial intelligence will replace 16% of American jobs by the end of the decade (Forrester)
– 15% of Apple phone owners’ users use Siri’s voice recognition capabilities. (BGR)
Unlike general perception, artificial intelligence is not limited to just IT or technology industry; instead, it is being extensively used in other areas such as medical, business, education, law, and manufacturing.
In the following, we are listing down 9 very intelligent AI solutions that we are using today, marketing machine learning as a present thing – not the future.
1. Nest(Google)
Nest was one of the most famous and successful artificial intelligence startups and it was acquired by Google in 2014 for $3.2 billion. The Nest Learning Thermostat uses behavioral algorithms to save energy based on your behavior and schedule.
It employs a very intelligent machine learning process that learns the temperature you like and programs itself in about a week. Moreover, it will automatically turn off to save energy, if nobody is at home.
In fact, it is a combination of both – artificial intelligence as well as Bluetooth low-energy because some components of this solution will use BLE services and solutions.
History
Nest Labs was founded in 2010 by former Apple engineers Tony Fadell and Matt Rogers. The idea came when Fadell was building a vacation home and found all of the available thermostats on the market to be inadequate, motivated to bring something better on the market.] Early investors in Nest Labs included Shasta Ventures and KPCB. On January 13, 2014, Google announced plans to acquire Nest Labs for $3.2 billion in cash. Google completed the acquisition the next day, on January 14, 2014. The company would operate independently from Google's other businesses.
In June 2014, it was announced that Nest would buy camera startup Dropcam for $555 million. With the purchase, Dropcam is tightly integrated with other Nest products; if the Protect alarm is triggered the Dropcam can automatically start recording, and the Thermostat can use Dropcam to sense for motion.
In September 2014, the Nest Thermostat and Nest Protect became available in Belgium, France, Ireland and the Netherlands. Initially they are sold in approximately 400 retail stores across Europe with another 150 stores to be added by the end of the year. In June 2015, the new Nest Cam, replacing the Dropcam, was announced, together with the second generation of the Nest Protect.
In August 2015, Google announced that it would restructure its operations under a new parent company, Alphabet Inc., with Nest being separated from Google as a subsidiary of the new holding company. The restructuring led to Tony Fadell, the Nest CEO, to announce in a blog post in June 2016 that he was leaving the company he founded with Matt Rogers and stepping into an "advisory" role. It culminated after months of rumors about Nest's demanding corporate culture under Fadell's leadership, and the displeasure of former Dropcam CEO Greg Duffy, who openly regretted selling his company to Nest. By June 2016, the Nest acquisition was described by some press as a "disaster" for Google.
Nest's problems in 2016 stem in a large part due to a limited market. According to Frank Gillet of Forrester Research, only 6% of American households possess internet-connected devices such as appliances, home-monitoring systems, speakers, or lighting. He also predicted this percentage to grow to only 15% by 2021. Furthermore, 72% of respondents in a 2016 survey conducted by Price water house Coopers did not foresee adopting smart-home technology over the next two to five years.
On February 7, 2018, it was announced by hardware head Rick Osterloh that Nest had been merged into Google's hardware division, directly alongside units such as Google Home and Chromecast. It will retain its separate Palo Alto headquarters, but Nest CEO Marwan Fawaz will now report to Osterloh, and there are plans for tighter integration with Google platforms and software such as Google Assistant in future products
2. Siri
Siri is one of the most popular personal assistant offered by Apple in iPhone and iPad. The friendly female voice-activated assistant interacts with the user on a daily routine. She assists us to find information, get directions, send messages, make voice calls, open applications and add events to the calendar.
Siri uses machine-learning technology in order to get smarter and capable-to-understand natural language questions and requests. It is surely one of the most iconic examples of machine learning abilities of gadgets.
More about siri
Siri (pronounced /ˈsɪəri/) is an intelligent personal assistant, part of Apple Inc.'s iOS, watchOS, macOS, and tvOS operating systems. The assistant uses voice queries and a natural language user interface to attempt to answer questions, make recommendations, and perform actions by delegating requests to a set of Internet services. The software adapts to users' individual language usages, searches, and preferences, with continuing use. Returned results are individualized.
Siri is a spin-off from a project originally developed by the SRI International Artificial Intelligence Center. Its speech recognition engine was provided by Nuance Communications, and Siri uses advanced machine learning technologies to function. Its original American, British, and Australian voice actors recorded their respective voices around 2005, unaware of the recordings' eventual usage in Siri. The voice assistant was released as an app for iOS in February 2010, and it was acquired by Apple two months later. Siri was then integrated into iPhone 4S at its release in October 2011. At that time, the separate app was also removed from the iOS App Store. Siri has become an integral part of Apple's products, having been adapted into other hardware devices over the years, including newer iPhone models, as well as iPad, iPod Touch, Mac, AirPods, Apple TV and HomePod.
Siri supports a wide range of user commands, including performing phone actions, checking basic information, scheduling events and reminders, handling device settings, searching the Internet, navigating areas, finding information on entertainment, and is able to engage with iOS-integrated apps. With the release of iOS 10 in 2016, Apple opened up limited third-party access to Siri, including third-party messaging apps, as well as payments, ride-sharing, and Internet calling apps. With the release of iOS 11, Apple has updated Siri's voices for more clear, human voices, supports follow-up questions and language translation, and additional third-party actions.
Siri's original release on iPhone 4S in 2011 received mixed reviews. It received praise for its voice recognition and contextual knowledge of user information, including calendar appointments, but was criticized for requiring stiff user commands and having a lack of flexibility. It was also criticized for lacking information on certain nearby places, and for its inability to understand certain English accents. In 2016 and 2017, a number of media reports have indicated that Siri is lacking in innovation, particularly against new competing voice assistants from other technology companies. The reports concerned Siri's limited set of features, "bad" voice recognition, and undeveloped service integrations as causing trouble for Apple in the field of artificial intelligence and cloud-based services; the basis for the complaints reportedly due to stifled development, as caused by Apple's prioritization of user privacy and executive power struggles within the company.
Origins
Siri is a spin-out from the SRI International Artificial Intelligence Center, and is an offshoot of the DARPA-funded CALO project. It was co-founded by Dag Kittlaus, Adam Cheyer, and Tom Gruber.
Development
Siri's speech recognition engine was provided by Nuance Communications, a speech technology company. This was not officially acknowledged by Apple nor Nuance for years, until Nuance CEO Paul Ricci confirmed the information at a 2011 technology conference. The speech recognition system makes use of sophisticated machine learning techniques, including convolutional neural networks and long short-term memory.
Apple's first notion of a digital personal assistant was originally a concept video in 1987, called the "Knowledge Navigator"
Other popular AI are:-
3. Cogito
Cogito originally co-founded by Dr. Sandy and Joshua is one of the best examples of the behavioral version to improve the intelligence of customer support representatives, currently on the market. The company is a synthesis of machine learning and behavioral science to enhance customer collaboration for phone professionals.
Cogito is applicable on millions of voice calls that take place on a daily basis. The AI solution analyzes the human voice and provides real-time guidance to enhance behavior.
4. Netflix
Netflix needs no introduction – it is a widely popular content-on-demand service that uses predictive technology to offer recommendations on the basis of consumers’ reaction, interests, choices, and behavior. The technology examines from a number of records to recommend movies based on your previous liking and reactions.
It is turning more intelligent with each passing year. The only the drawback of this technology is that small movie go unnoticed while big films grow and propagate on the platform. But as I wrote earlier, it is still improving and learning to be more intelligent.
5. Pandora
Pandora is one of the most popular and highly demanded tech solutions that exist. It is also called the DNA of music. Depending on 400 musical characteristics, the team of expert musicians individually analyzes the song. The system is also good at recommending the track record for recommending songs that would never get noticed, despite people’s liking.
6. Tesla
Not only smartphones but automobiles are also shifting towards Artificial Intelligence. Tesla is something you are missing if you are a car geek. This is one of the best automobiles available until now. The car has not only been able to achieve many accolades but also features like self-driving, predictive capabilities, and absolute technological innovation.
If you are a technology geek and dreamt of owning a car like shown in Hollywood movies, Tesla is one you need in your garage. The car is getting smarter day by day through over the air updates.
7. Boxever
Boxever is a company that heavily relies on machine learning to enhance the customer experience in the travel industry and conveys micro-moments or experiences that can please the customers.
Boxover significantly improves customer engagement through machine learning and Artificial Intelligence to rule the playing field, helping customers to find new ways and make memorable journeys.
8. Flying Drones
The flying drones are already shipping products to customers home – though on a test mode. They indicate a powerful machine learning system that can translate the environment into a 3D model through sensors and video cameras.
The sensors and cameras are able to notice the position of the drones in the room by attaching them to the ceiling. Trajectory generation algorithm guides the drone on how and where to move. Using a Wi-Fi system, we can control the drones and use them for specific purposes – product delivery, video-making, or news reporting.
9. Echo
Echo was launched by Amazon, which is getting smarter and adding new features. It is a revolutionary product that can help you to search the web for information, schedule appointments, shop, control lights, switches, thermostats, answers questions, reads audiobooks, reports traffic and weather, gives info on local businesses, provides sports scores and schedules, and more using the Alexa Voice Service.
Conclusion
Artificial Intelligence is gaining popularity at a quicker pace; influencing the way we live, interact and improve customer experience. There is much more to come in the coming years with more improvements, development, and governance.
0 comments:
Post a Comment