Collaborative Education: AI with NoCode AI
Can we teach Data Science and AI to Product and Business Users?
Collaborative Education: AI with NoCode AI
Can
we teach Data Science and AI to Product and Business Users? Can we help
a non-coding business person to cross the chasm between tech and
business? This is where collaborative education in AI comes into
picture.
As
an engineer who works on the business side of Product Management and
analytics I enjoy connecting the dots between tech and business. I
bring that to my classes at Stanford, Barcelona tech school and
Business School of AI.
On
the receiving end are my smart students who are innovators hungry to
learn to innovate. They come from a diverse background of business,
design, production, operations and engineering across multiple
industries.
How is teaching AI with NoCode help in collaborative education for business users?
NoCode
AI is an evolving field with many tools to build AI without any coding
knowledge needed. But NoCode implies that you just use a tool and
create AI models. Yes that is possible but there is more to it. I
teach a NoCode AI Data Science course at the
business school of AI
using
IBM Watson and Akkio, both No Code AI platforms. Some students will go
onto learn from additional LiveLab Machine learning course with Julien
Carbonnell using Google Colab or a LiveLab NLP course with Sam
Wigglesworth using IBM Watson or a noCode Inclusive AI with Susanna Raj
using a NoCode data Annotation platform to remove bias in training data
that trains AI.
What is the Pedagogy needed to teach AI using NoCode AI to business users?
These are not children looking for steps to learn in a prescriptive tool.
There
is a difference in the Engineering way of learning by pushing the
boundary to find boundary conditions find the error and fix it to
iterate to build better tech. Then there is the business mind who wants
to learn with a more pluralistic mind.
AI lends itself with immense complexity that feeds the innovative business mind.
Sam Wigglesworth teaches
LiveLab NLP at the Business School of AI
.
She is an expert in NLP space and knows every possible tool and builds
chatbots and does complex integrations to solve interesting business
problems. She uses IBM Watson Assistant as the NoCode AI NLP platform
to teach business users to build chatbots for customer service.
Building chatbots is about asking questions and training the AI by
feeding it data, more data. Essentially we are building a supervised
learning AI model using NLP. This means we believe we know the factors
and answer and want the AI to automate it for us. This translates
to understanding all possible intents of the customer and knowing what
the chatbot should do in response.
Coding
is not just about knowing a programming language. It’s a state of mind,
it is an approach to problem solving. An Engineer would look for
non-deterministic conditions, boundary conditions when the chatbot will
get stumped with the human conversation.
Business
people deal with ambiguity. They make decisions on grey areas where
there is no one right answer. Should we grow the revenues by increasing
the price of the product or by selling to more customers? Should we try
to sell to more of similar customers or expand to new markets?
Back
to AI and NoCode AI. AI is predictive and not prescriptive. It invites
the business user with its ambiguity. AI is built to solve business
problems. There are several ways of solving the same problems and each
lends itself to build different underlying algorithms. That is what we
need to teach the business user to focus on. To narrow the use case,
feature engineering the data or bring more relevant data. Keep the
focus on the customers. Use their superpower to ask questions. mNLP
Chatbots are designed with Socratic questioning. That’s exactly what
the business user needs to do. Ask questions. Find the data that trains
the AI with answers.
Where Collaborative Education helps teach AI to Business Users?
Business
is not not by one kind of person or roles. Products are built by
engineers. Production and distribution is managed by people managing
logistics and managing getting parts using the supply chain. Marketing
and Sales understands customers and sells to them. Operations and
Finance manages the business operations. Human Resources managing the
hiring and culture of people across all departments. All of these
people do a specific function and bring different perspectives to
solving customer problems. In Industry today, multiple roles come
together to build AI as Inclusive AI to serve a diverse set of
customers.
Collaboration
Education using NoCode AI brings a diverse set of customers, helps
drive discussions from multiple perspectives and helps everyone connect
the dots between technology to the various dimensions of business that
they represent from their past experience.
This
is the way forward to help non-coding business people cross the chasm
between tech and business with collaborative education of AI.
Sudha Jamthe teaches
AI and Data Science at Business School of AI using NoCode AI
using collaborative learning to a diverse set of business and product leaders.
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