Explain the relationship among data mining, text mining, and sentiment analysis.

DIFFICULTIES IN MEASURING AI, ADVICE & DRIVERS OF AI AND NUANCE AI SOLUTIONS 1

 

 

 

 

 

Difficulties in measuring AI, Advice & drivers of AI and Nuance AI solutions

Student Name

For

Dr. Bruning

Summer 2020 – Business Intelligence (ITS-531-20)

University of the Cumberlands

 

 

 

 

 

 

 

 

Difficulties in measuring AI, Advice & drivers of AI and Nuance AI solutions 2

 

Difficulties in measuring AI

Artificial intelligence (AI) is used to define the capability of the machine to mimic

human intelligence (OECD, 2019). For every project measuring the capability of the system

important and is one of the tests done. A well-known testing method for Artificial

intelligence is the Turing Test (Sharda, Delen, & Turban, 2020). In this method, an

interviewer asks the question to an unseen Artificial intelligence system and human. Based on

the answer provided both and after the comparison the intelligence of the AI system

determined. There are a lot of limitations in this test as the test only provides a comparative

intelligence value based on the human in the test. Humans have varying intelligence level and

hence determining the intelligence of machines based on one human is not accurate. Another

difficulty is that there is a blurred line between Artificial intelligence and other similar

technology and are often hard to distinguish (OECD, 2019). For example, in the Turing test,

the question is spoken to the AI and user in which the AI uses Natural language processing

(NLP) to understand the questions to answer it. Here if the question is failed to be recognized

by the AI, it the failure in the input of the question and not the processing of the question.

Another difficulty is the Turing test only with question and answers which cannot be applied

to all type of artificial intelligence system.

Advice on AI

McKinsey and company created and posted the video in July of 2017 advising

executives on AI (London, Bradski, Coates, Deng, & Shah, 2017). The video broadly aimed

at providing help to executives when incorporating artificial intelligence technology. The

video starts by starting that artificial intelligence has a huge capability and everyone should

embrace the capability. Also embracing the technology does not mean plainly implementing

AI technology. AI technology needs to be researched and implemented with a business goal

in mind. Although there are many AI tools available in the market with different capabilities

 

 

Difficulties in measuring AI, Advice & drivers of AI and Nuance AI solutions 3

 

not everything would suit every business. It is also stated in the video that the biggest

challenge is not the technology but its business impact in the organization. There is a need for

employees with a techno-functional role who can understand the business need and provide a

technological solution. Artificial intelligence technology is mainly driven by data, computing

power, and AI or machine learning engineers. One decision that the executive need to make

is either have an in-house team for software development or use an enterprise AI solution.

Finally, they have mentioned that AI is a powerful and important tool to be considered by all

organization’s executives.

Drivers of AI

McKinsey & Company created and posted a video in July of 2017 about the drivers for

the improvement and development in AI technology (London, Bradski, Coates, Deng, &

Shah, Ask the AI experts: What’s driving today’s progress in AI?, 2017). The video stated

that Artificial Intelligence has developed in multiple waves and the previous waves died

down because the technologies capability was overestimated and due to the limitation in

technology and data availability. Current Artificial Intelligence (AI) is considered to be in its

third wave and has been rapidly growing since its evolution as machine learning. One of the

main drivers for the development of Artificial intelligence technology is the current

computing capabilities. Nowadays computing power has not only improved enabling AI

development but also becoming making the technology widespread. Data also is considered

as an important factor in Artificial intelligence. With the development in the internet and

mobile technology more and more voice, image, and behavioral data were collected which

enabled the development in Artificial. The improvement in the algorithm derived deep

learning and these algorithms were drivers in the development of AI. Other technology like

deep net or deep learning required a large amount of data for training the system where

insufficient data provides a failed system. To summarise, development in AI algorithms like

 

 

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deep learning, a huge volume of available data, and improvement in the computing

technology were drivers for the development of Artificial Intelligence.

Nuance

Nuance is a software development company that builds AI technology for

organizations to enable the business to work efficiently (Nuance, 2020). Nuance provides its

AI technology to different industries like healthcare, financial service, telecom, government,

education, retail, and legal to name a few. Nuance provides artificial intelligence products

like Healthcare AI, Omni-channel customer engagement, and Dragon consumer and

engagement solutions. Nuance’s Healthcare AI solution provides doctors and other hospital

employees with documentation of patient records, diagnosis, and clinical analytics. Omni-

Channel solutions provide a customer support system for any kind of industry which includes

multiple channels of customer support like emails, calls, and online chat. Dragon speech

recognition solution is provided in the home and provisional level for automating computer

tasks (Nuance, 2020). Nuance Dragon speech recognition solution can be utilized to perform

document updates, run reports, web searches, and create spreadsheets (Nuance, 2020).

Dragon speech recognition provides voice recognition with high accuracy and speed

(Nuance, 2020). The speech recognition software provides applications like voice note-taking

and voice commands to control the computer. Nuance also provides volume licensing that are

cost-effective when procuring software solution for a big enterprise. The Dragon speech

solution is provided for a different type of business-like accessibility, education, healthcare,

legal, financial service, social service, small business, and law enforcement.

 

 

 

 

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References

London, S., Bradski, G., Coates , A., Deng, L., & Shah, M. (2017, July 7). Ask the AI experts:

What’s driving today’s progress in AI? Retrieved from McKinsey:

https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/ask-

the-ai-experts-whats-driving-todays-progress-in-ai

London, S., Bradski, G., Coates, A., Deng, L., & Shah, M. (2017, July 7). Ask the AI experts:

What advice would you give to executives about AI? Retrieved from Mckinsey:

https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/ask-

the-ai-experts-what-advice-would-you-give-to-executives-about-ai

Nuance. (2020). About us. Retrieved from Nuance: https://www.nuance.com/about-us/who-

we-are.html

Nuance. (2020). Dragon Speech Recognition Solutions. Retrieved from Nuance:

https://www.nuance.com/dragon.html

OECD. (2019). Measuring the Digital Transformation. A Roadmap for the Future. OECD

Publishing.

Sharda, R., Delen, D., & Turban, E. (2020). Analytics, Data Science, & Artificial

Intelligence: Systems for Decision Support, 11th Edition. Pearson.