Artificial Intelligence: A Modern Approach and Machine Learning by Godwin Jones O

Author:Godwin, Jones O. [Godwin, Jones O.]
Language: eng
Format: epub
Publisher: UNKNOWN
Published: 2020-06-16T16:00:00+00:00

Financial services. Artificial intelligence is transforming how banks operate and how customers bank. Read about how Chase Bank, JPMorgan Chase, Bank of America, Wells Fargo and other banking behemoths are currently using AI to automate customer service and also to help streamline back office processes in this in-depth feature "AI use cases in banking create opportunities, improve systems."

Manufacturing. Collaborative robots, aka cobots, are working on assembly lines and in warehouses alongside humans, functioning as an extra set of hands; factories are using AI to predict maintenance needs; machine learning algorithms detect buying habits to predict product demand for production planning. Read about these AI implementations and potential new AI applications in "10 AI use cases in manufacturing."

Agriculture. The $5 trillion agriculture industry is using AI to yield healthier crops, reduce workloads and organize data. Read Cognilytica analyst Kathleen Walch's deep dive into agriculture's use of AI technology and about John Deere's AI journey.

Law. The document-intensive legal industry is using AI to save time and improve client service. Law firms are deploying machine learning to mine data and predict outcomes; vision to classify they are also using computer and extract information from

documents and natural language processing to interpret requests for information. Watch Vince DiMascio talk about how his team is applying AI and robotic process automation at the large immigration law firm where he serves as CIO and CTO.

Education. In addition to automating the tedious process of grading exams, AI is being used to assess students and adapt curricula to their needs. Listen to this podcast with Ken Koedinger, professor of human-computer interaction and psychology at Carnegie Mellon University's School of Computer Science, on how machine learning is providing insight into how humans learn and paving the way for personalized learning.

IT service management . IT organizations are using natural language processing to automate user requests for IT services. They are applying machine learning to ITSM data to gain a richer understanding of their infrastructure and processes. Dig deeper into how organizations are using AI to optimize IT services in "10 AI and machine learning use cases in ITSM."

Evolution of AI use cases

The range of AI use cases in the enterprise is not only expanding but also evolving in the face of current market uncertainty. As companies grapple with the implications of the coronavirus pandemic and fallout, AI will help companies understand how they need to pivot to stay relevant and profitable, said Arijit Sengupta, CEO of Aible, an AI platform provider.

"In the current Novel virus emergency, the most significant use cases are going to center on scenario planning, hypothesis testing and assumption testing," Sengupta told TechTarget.

But model building will have to become nimbler and more iterative. Predictive models, for example, could be pushed out to salespeople, who in turn become critical players in feeding the models real-time empirical data for ongoing analysis.

With that said, for any use case, getting end-user feedback is judgmental in uncertain times, this is because end users will get to know things that haven't surfaced in the data yet, Sengupta said.

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