BRAIN SCIENCE AND PROBLEM SOLVING
AI IN BUSINESS APPLICATIONS
----- Nilanjana Pradhan
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
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.
Although the term intelligent agents is not new to AI,
only in recent years has it gained prominence
Agent denotes rather generally a system that
processes information and produces an output from
These agents may be classified in many different
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
The agent can perceive its environment with the
sensors. With the actuators it carries out actions and
changes its environment
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
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 :
Obliging personal assistants
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
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
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
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
Ultimately, ECC applications can enhance
operational excellence, customer satisfaction, and
ECC applications come in many flavors.
For instance, in addition to call center applications,
Banking applications for processing
Identifying potential fraud
Legal applications for identifying relevant case
Investment applications for developing buy/sell
predictions and recommendations.
Manufacturing applications for scheduling
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
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
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
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.
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