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Ai in business lecture 2

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NilanjanaPradhan2

This document discusses several applications of artificial intelligence (AI) including in business processes, brain science, problem solving, and human resources. It describes how AI can enhance business operations by embedding algorithms into applications that support organizational processes. These enterprise cognitive computing applications can automate repetitive tasks, improve speed and reliability of analysis, and enhance productivity. The document also discusses how AI is being applied in other fields like assisting robots, vehicle automation, and improving recruitment and retention in human resources.

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BRAIN SCIENCE AND PROBLEM SOLVING AI IN BUSINESS APPLICATIONS ----- Nilanjana Pradhan nilanjana.pradhan@gmail.com
BRAIN SCIENCE AND PROBLEM SOLVING  Through research of intelligent systems we can try to understand how the human brain works .  Model or simulate it on the computer.  Many ideas and principles in the field of neural networks stem from brain science with the related field of neuroscience.
 First and foremost is the optimal intelligent solution to the problem.  Rather than employing a fixed method (such as, for example, predicate logic) AI has as its constant goal the creation of intelligent agents for as many different tasks as possible.  Cognitive science is devoted to research into human thinking at a somewhat higher level.
 Similarly to brain science, this field furnishes practical AI with many important ideas  On the other hand, algorithms and implementations lead to further important conclusions about how human reasoning functions  Thus these three fields benefit from a fruitful interdisciplinary exchange. The subject of this book, however, is primarily problem-oriented AI as a subdiscipline of computer science.
The assistance robot Marvin, deployed in the AsRoBe research project
 Assistance robot like Marvin, shown in the above figure provide help to the elderly or to people with disabilities .  Boston Dynamics provided an impressive example in its humanoid robot Atlas.
 Like the new cars, service robots offer a large gain in comfort and convenience which we would probably like to enjoy.  One need only imagine such a robot dutifully cleaning and scrubbing after a party from night until morning without a grumble.
Agents  Although the term intelligent agents is not new to AI, only in recent years has it gained prominence among others.  Agent denotes rather generally a system that processes information and produces an output from an input.  These agents may be classified in many different ways.
 In classical computer science, software agents are primarily employed .  In this case the agent consists of a program that calculates a result from user input.  In robotics, on the other hand, hardware agents (also called autonomous robots) are employed, which additionally have sensors and actuators at their disposal .  The agent can perceive its environment with the sensors. With the actuators it carries out actions and changes its environment
EMBEDDING AI INTO BUSINESS PROCESS
 Artificial intelligence (AI) is clearly a growing force in the technology industry.  AI is taking center stage at conferences and showing potential across a wide variety of industries, including retail and manufacturing.  New products are being embedded with virtual assistants, while chatbots are answering customer questions on everything from your online office supplier's site to your web hosting service provider's support page.
 Meanwhile, companies such as Google, Microsoft, and Salesforce are integrating AI as an intelligence layer across their entire tech stack  Yes, AI is definitely having its moment.
Artificial intelligence invariably conjures up visions of :  Self-driving vehicles  Obliging personal assistants  Intelligent robots. But AI’s effect on how companies operate is no less transformational than its impact on such products.
 Enterprise cognitive computing — the use of AI to enhance business operations — involves embedding algorithms into applications that support organizational processes.  ECC applications can automate repetitive, formulative tasks and, in doing so, deliver orders-of- magnitude improvements in the speed of information analysis and in the reliability and accuracy of outputs.
 For example, ECC call center applications can answer customer calls within 5 seconds on a 24-7- 365 basis, accurately address their issues on the first call 90% of the time, and transfer complex issues to employees, with less than half of the customers knowing that they are interacting with a machine.
 The power of ECC applications stems from their ability to reduce search time and process more data to inform decisions.  That’s how they enhance productivity and free employees to perform higher-level work — specifically, work that requires human adaptability and creativity.  Ultimately, ECC applications can enhance operational excellence, customer satisfaction, and employee experience.
 ECC applications come in many flavors.  For instance, in addition to call center applications, they include  Banking applications for processing  Loan requests  Identifying potential fraud  Legal applications for identifying relevant case precedents
 Investment applications for developing buy/sell predictions and recommendations.  Manufacturing applications for scheduling equipment maintenance.  Pharmaceutical R&D applications for predicting the success of drugs under development.
Artificial Intelligence in Human Resource and Intelligent Recruitment  Human resource management has gone through drastic and irrevocable workflow changes with the help of AI and Machine Learning.  A pile of irrelevant resumes and manual productivity analysis for retention and appraisals are a thing of the past.
 Artificial Intelligence saves HR decision makers from the mundane and tedious process of shortlisting potential candidates for next rounds.  It optimizes this process by relevant keyword-based searches.  AI aids in analyzing the filled application form and various pre-filled answers by candidates too.
 It has aligned the recruitment workflow to be more intelligent and data-driven.  Making better hires is just the start, retaining and mentoring them involves a whole another level of planning.
 AI tools can assess employees (their mindset and personalities), configures and creates a plan on what areas they need to train the employees, how to motivate them, when to reward them and what not.  It is paradoxical but true that the more Artificial Intelligence a company deploys, the more ‘Human’ a company can be.
THANK YOU

More Related Content

Ai in business lecture 2

  • 1. BRAIN SCIENCE AND PROBLEM SOLVING AI IN BUSINESS APPLICATIONS ----- Nilanjana Pradhan nilanjana.pradhan@gmail.com
  • 2. BRAIN SCIENCE AND PROBLEM SOLVING  Through research of intelligent systems we can try to understand how the human brain works .  Model or simulate it on the computer.  Many ideas and principles in the field of neural networks stem from brain science with the related field of neuroscience.
  • 3.  First and foremost is the optimal intelligent solution to the problem.  Rather than employing a fixed method (such as, for example, predicate logic) AI has as its constant goal the creation of intelligent agents for as many different tasks as possible.  Cognitive science is devoted to research into human thinking at a somewhat higher level.
  • 4.  Similarly to brain science, this field furnishes practical AI with many important ideas  On the other hand, algorithms and implementations lead to further important conclusions about how human reasoning functions  Thus these three fields benefit from a fruitful interdisciplinary exchange. The subject of this book, however, is primarily problem-oriented AI as a subdiscipline of computer science.
  • 5. The assistance robot Marvin, deployed in the AsRoBe research project
  • 6.  Assistance robot like Marvin, shown in the above figure provide help to the elderly or to people with disabilities .  Boston Dynamics provided an impressive example in its humanoid robot Atlas.
  • 7.  Like the new cars, service robots offer a large gain in comfort and convenience which we would probably like to enjoy.  One need only imagine such a robot dutifully cleaning and scrubbing after a party from night until morning without a grumble.
  • 8. Agents  Although the term intelligent agents is not new to AI, only in recent years has it gained prominence among others.  Agent denotes rather generally a system that processes information and produces an output from an input.  These agents may be classified in many different ways.
  • 9.  In classical computer science, software agents are primarily employed .  In this case the agent consists of a program that calculates a result from user input.  In robotics, on the other hand, hardware agents (also called autonomous robots) are employed, which additionally have sensors and actuators at their disposal .  The agent can perceive its environment with the sensors. With the actuators it carries out actions and changes its environment
  • 10. EMBEDDING AI INTO BUSINESS PROCESS
  • 11.  Artificial intelligence (AI) is clearly a growing force in the technology industry.  AI is taking center stage at conferences and showing potential across a wide variety of industries, including retail and manufacturing.  New products are being embedded with virtual assistants, while chatbots are answering customer questions on everything from your online office supplier's site to your web hosting service provider's support page.
  • 12.  Meanwhile, companies such as Google, Microsoft, and Salesforce are integrating AI as an intelligence layer across their entire tech stack  Yes, AI is definitely having its moment.
  • 13. Artificial intelligence invariably conjures up visions of :  Self-driving vehicles  Obliging personal assistants  Intelligent robots. But AI’s effect on how companies operate is no less transformational than its impact on such products.
  • 14.  Enterprise cognitive computing — the use of AI to enhance business operations — involves embedding algorithms into applications that support organizational processes.  ECC applications can automate repetitive, formulative tasks and, in doing so, deliver orders-of- magnitude improvements in the speed of information analysis and in the reliability and accuracy of outputs.
  • 15.  For example, ECC call center applications can answer customer calls within 5 seconds on a 24-7- 365 basis, accurately address their issues on the first call 90% of the time, and transfer complex issues to employees, with less than half of the customers knowing that they are interacting with a machine.
  • 16.  The power of ECC applications stems from their ability to reduce search time and process more data to inform decisions.  That’s how they enhance productivity and free employees to perform higher-level work — specifically, work that requires human adaptability and creativity.  Ultimately, ECC applications can enhance operational excellence, customer satisfaction, and employee experience.
  • 17.  ECC applications come in many flavors.  For instance, in addition to call center applications, they include  Banking applications for processing  Loan requests  Identifying potential fraud  Legal applications for identifying relevant case precedents
  • 18.  Investment applications for developing buy/sell predictions and recommendations.  Manufacturing applications for scheduling equipment maintenance.  Pharmaceutical R&D applications for predicting the success of drugs under development.
  • 19. Artificial Intelligence in Human Resource and Intelligent Recruitment  Human resource management has gone through drastic and irrevocable workflow changes with the help of AI and Machine Learning.  A pile of irrelevant resumes and manual productivity analysis for retention and appraisals are a thing of the past.
  • 20.  Artificial Intelligence saves HR decision makers from the mundane and tedious process of shortlisting potential candidates for next rounds.  It optimizes this process by relevant keyword-based searches.  AI aids in analyzing the filled application form and various pre-filled answers by candidates too.
  • 21.  It has aligned the recruitment workflow to be more intelligent and data-driven.  Making better hires is just the start, retaining and mentoring them involves a whole another level of planning.
  • 22.  AI tools can assess employees (their mindset and personalities), configures and creates a plan on what areas they need to train the employees, how to motivate them, when to reward them and what not.  It is paradoxical but true that the more Artificial Intelligence a company deploys, the more ‘Human’ a company can be.