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Why Wait? Use AI to Automate Basic Business Tasks
1. Group No. 29
Why Wait? Use AI to Automate Basic Business Tasks
Business Analytics
(3529208)
Submitted By
Prashant Kunjadiya(178050592536)
Bipin Mangukiya(178050592542)
Submitted To
Mr. Harshesh Patel
S.R. Luthra Institute of Management-805
2. •Artificial Intelligence(AI) is a way of making a computer, a computer-
controlled robot, or a software think intelligently, in the similar manner the
intelligent humans think.
•Some scientists Say It’s Putting the Human Mind In the Computer
•That means just about anywhere we currently use humans to complete
repetitive tasks, AI can help.
•This article will explore how AI can boost your business, implementation
measures and how data can guide this transition.
4. Putting AI to use to automate basic business tasks can result in better
quality of service, customer experience, project implementation and lower
cost.
5. •In the near term, IT won’t necessarily be driving the business toward AI, but
rather the other way around. Line of business owners will have needs that
drive IT to use AI.
•At many organizations, AI might start as a one-off research project outside of
“traditional IT.”
•That’s because while AI often processes unstructured data – video, images,
audio, etc. it produces structured data that needs to be integrated with other
structured data to perform a complete solution.
6. The winners won’t necessarily be the biggest companies or the ones with
the best marketing, but rather those that are most adaptable and
innovative.
7. •All industries are going to be impacted by AI, but why and how isn’t entirely
predictable.
AI and machine learning teach computers to recognize patterns in unstructured data and turn it into structured data in a manner that allows for automatic response to be applied.
According to the survey, managers across all levels spend more than half of their time on administrative coordination and control tasks. (For instance, a typical store manager or a lead nurse at a nursing home must constantly juggle shift schedules because of staff members’ illnesses, vacations, or sudden departures.) These are the very responsibilities that the same managers expect to see AI affecting the most. And they are correct: AI will automate many of these tasks.
Many alarms have sounded on the potential for artificial intelligence (AI) technologies to upend the workforce, especially for easy-to-automate jobs. But managers at all levels will have to adapt to the world of smart machines. The fact is, artificial intelligence will soon be able to do the administrative tasks that consume much of managers’ time faster, better, and at a lower cost.
How can managers — from the front lines to the C-suite — thrive in the age of AI? To find out, we surveyed 1,770 managers from 14 countries and interviewed 37 executives in charge of digital transformation at their organizations. Using this data, we identified five practices that successful managers will need to master.
Practice 1: Leave Administration to AI
According to the survey, managers across all levels spend more than half of their time on administrative coordination and control tasks. (For instance, a typical store manager or a lead nurse at a nursing home must constantly juggle shift schedules because of staff members’ illnesses, vacations, or sudden departures.) These are the very responsibilities that the same managers expect to see AI affecting the most. And they are correct: AI will automate many of these tasks.
Report writing is another relevant example. The Associated Press expanded its quarterly earnings reporting from approximately 300 stories to 4,400 with the help of AI-powered software robots. In doing so, technology freed up journalists to conduct more investigative and interpretive reporting. Imagine technology like this drafting your next management report; in fact, this is already possible for some analytical management reports. Recently, the data analytics company Tableau announced a partnership with Narrative Science, a Chicago-based provider of natural language generation tools. The result of the collaboration is Narratives for Tableau, a free Chrome extension that automatically creates written explanations for Tableau graphics.
The managers we surveyed see such change in a positive light: Eighty-six percent said they would like AI support with monitoring and reporting.
Consider an example of an automated “greeter” at your local hardware store. A customer can walk in, hold up the nut or bolt or what ever they are looking for in front of a camera and it will tell you which aisle the object is and whether it’s in stock. The image recognition needs AI-enabled training, but the system needs to integrate with the product catalog (new item introduction) and the inventory control and POS systems as well.