Artificial Intelligence and Machine Learning Part 10

© DataMites™ | Feb 2019 | CII – Confederation of Indian Industry | AI Transforming Business
Artificial Intelligence and
Machine Learning
Accredited with IABAC™
( International Association of Business Analytics Certifications)`
Artificial Intelligence (AI) and Machine Learning (ML) Training Courses

Data Science Analyst
• These professionals are focused on day-
to-day analysis of data, including website
analytics, retrieving data from various
data sources and creating data
visualizations.
• They work closely with business person.
Their role is to provide the reports from
data analysis with appropriate
visualizations in an easy to understand
format. There by enabling the decision
makers to gain valuable business insights
2

Business Person
• This role is the one, who manages the entire
Data Science project. We can call him as
sponsor. This roles is predominantly
business focused and, formulates the
problem statements for which, Data science
project needs to find the answers. This role
also helps in understanding, interpreting the
intermediate results of the data science
projects and drive the project to final
solution.
• Though this role is primarily business
focused, he/she must also speak Data in
order to able to perform the job well.
3

Data Scientist
• These are the professional who is able to
perform every aspect of Data Science,
sometime called as full-stack Data science
professionals. Well, these people are rare as
mastering entire Data Science roles is
difficult, if not impossible.
• If a company manages to hire full-stack Data
Scientist, there would be tremendous
progress in transforming the business in gain
significant competitive advantage by finding
solutions to important business questions.
4

Business
Technology
Analytics
Business
Leaders
Delivery
Managers
Visual
Analysts
Process
Consultants
Data
Engineers
Data
Architects
Data
Analysts
Data
Scientists
Lead analytics transformation
across organization
Deliver data- and analytics-driven insights
and interface with end users
Lead analytics transformation
across organization
Build interactive decision-support tools
and implement solutions
Visualize data and build reports
and dashboards
Ensure quality and consistency of
present and future data flows
Collect, structure, and analyse
data
Develop statistical models and algorithms

• How big is that challenge? In terms of magnitude, it’s akin to coping
with the large-scale shift from agricultural work to manufacturing that
occurred in the early 20th century in North America and Europe, and
more recently in China.
• the speed of change today is potentially faster. The task confronting
every economy, particularly advanced economies, will likely be to
retrain and redeploy tens of millions of midcareer, middle-age
workers. As the MGI report notes, “there are few precedents in which
societies have successfully retrained such large numbers of people.”

Adopt a sophisticated data strategy as data is
the key for any AI based solutions.
• AI algorithms need assistance to unlock the valuable insights lurking
in the data your systems generate. You can help by developing a
comprehensive data strategy that focuses not only on the technology
required to pool data from disparate systems but also on data
availability and acquisition, data labelling, and data governance.
Although newer techniques promise to reduce the amount of data
required for training AI algorithms, data-hungry supervised learning
remains the most prevalent technique today. And even techniques
that aim to minimize the amount of data required still need some
data. So a key part of this is fully knowing your own data points and
how to leverage them.

Data in your organization
• Where does your data live?
• What are the systems governing your data?
• Who is the owner?
• Where are the gaps?

Building Foundations for AI Data
• Building data lakes
• Four Stages of Building and Integrating Data Lakes within Technology
Architectures
• Best Practice Data Architecture

DataMites™ is a global institute of Data Science, Machine Learning, IoT and Artificial Intelligence
Training and Consulting for individuals and Corporate.
For courses enquires
Call : +1 628 228 6062 (USA) | 1800 313 3434 (India Toll Free)
Email : enquiry@datamites.com | Corporate Clients: corp@datamites.com
If you are looking for Artificial Intelligence (AI) Training Course in Chennai with
Machine Learning, then please visit:
https://datamites.com/artificial-intelligence-course-training-chennai/
DataMites

Artificial Intelligence and Machine Learning Part 10

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Artificial Intelligence and Machine Learning Part 10