ai in big data analytics

1. Seminar Topic: AI in Big Data Analytics
Bharati Vidyapeeth’s College of Engineering Lavale, Pune
Savitribaibai Phule Pune University
2023-2024
By-
Name : Diksha Gaikwad
Roll no. : 13
Class : BE Computer
PRN No. : 72159705F
Honors Course(Data Science)
Seminar
(410504)
Presentation On

2. What is Big Data??
We already told about big data in our previous discussion. For
your attention we want to tell that again. Big data equals to big
deals. A lot of numbers
of data may be structured or unstructured.
For this time just keep this words in mind. Later of the
discussion we will discuss on it briefly.

3. What is AI??
Artificial Intelligence is the science of making computers
do things that require intelligence when done by humans.
All Al designs are atleast somewhat inspired by the human
brain. The objective of Al is to build intelligent agents. For
example, consider video game characters. When a video
game character goes from point A to point B, there is Al
algorithm called path finding.

4. Relationship Between Al & Big Data :
Human intelligence builds up on what we
read, observe, learn, sense and experience. It's our ability to store
large amount of data, accumulated over years and co-relating a few
data points to answer a certain
question, that makes us intelligent. Similarly for machines to
replicate human intelligence, they'll need to absorb large amount of
data to make an intelligent
decision.

5. Relationship Between Al & Big Data :
Google's self driving cars gather large amount of data
by monitoring surrounding environment through an
array of sensors like
infrared cameras, proximity sensors etc... The machine
driving the car & co-related information gathered from
this large amount
of data to make an intelligent decision.

7. Predictive Data Analytics :
Predictive analytics is the practice of extracting
information from existing data sets in order to
determine patterns and predict future outcomes and
trends.
Predictive analytics does not tell you what will
happen in the future. It forecasts what might happen
in the future with an acceptable level of reliability,
and includes what-if scenarios and risk assessment.

8. Predictive Data Analytics :
Predictive data analytics is essential if you want
to know what consumers are thinking and what
they are likely to respond to positively. This also
ties in with big data and how to use it to best
effect. The answer lies in using narrow Al to track
consumer sentiment, and separately extract
specific relevant information from big data.

9. Predictive Data Analytics :
Businesses collect vast amounts of real-time
customer data and predictive analytics uses this
historical data, combined with customer
insight, to predict future events. Predictive
analytics enable organizations to use big data
to move from a historical view to a forward-
looking perspective of the customer.

10. Why Al & Big Data Need each other??
If you're collecting & analyzing customer information, gleaning
insights into what customers want and need, and acting on those
insights. Then you may able to position products to respond to
customers' greatest needs & you know it's working, because
you're collecting data that proves it. You're way ahead of most of
your peers in deriving real value from big data. But you're not
done yet. If you want to stay competitive then you have to do
much more to get the maximum value from the customer data
you're collecting and to do it, you need artificial intelligence.

11. Example of Relationship between Al & Big Data :
At the moment of ending our discussion we want to say
another live example of
relationship between Al & Big Data. That's .... Google
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13. THANK YOU