and

Part - 2

Relationship Between

Group Members

Member’s Name Member’s ID

Md. Mehedi Hasan 132-15-2629

Mohammad Abdul Kaiyum 132-15-2713

Maruf Abdullah 132-15-2703

Rajib Chandra Das 132-15-2747

Rakibul Islam 132-15-2770

At a GlancePage#

What is Big Data?? 05What is AI?? 06Relationship between AI & Big Data 07 – 09Predictive Data Analytics & Big Data 10 – 13Unstructured Data Analytics 14 – 16 Data Mining using GAs 17 – 18 Data Mining using Fuzzy Logic 19 – 20Why AI & Big Data need each other?? 21 – 22Live Example of Relationship 23 – 14References 25

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.

05

What is AI??

Artificial Intelligence is the science of making computers do things that require intelligence when done by humans. All AI designs are at least somewhat inspired by the human brain.

The objective of AI 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 AI algorithm called path finding.

06

Relationship Between AI & 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.

07

Relationship Between AI & 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.

08

Relationship Between AI & Big Data

09

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.

10

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 AI to track consumer sentiment, and separately extract specific relevant information from big data.

11

Predictive Data Analytics Value Chain

12

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.

13

Unstructured Data Analytics

Unstructured data is a generic label for describing data that is not contained in a database or some other type of data structure. Unstructured data can be textual or non-textual. Textual unstructured data is generated in media like email messages, PowerPoint presentations, Word documents, collaboration software and instant messages. Non-textual unstructured data is generated in media like JPEG images, MP3 audio files and Flash video files.

To discovery meaningful data from text, speech, videos, images etc…

14

Unstructured Data Analytics

15

Unstructured Data Analytics

There are few data mining techniques including traditional data mining, genetic algorithms, fuzzy logic etc...

In short we will discuss about data mining using genetic algorithms and fuzzy logic techniques.

16

Data Mining using Genetic Algorithm

17

Genetic algorithm is one of the commonly used approaches on data mining.

Data mining has a goal to extract knowledge from large databases. To extract this knowledge, database may be considered as large search space and mining algorithm as a search strategy. In general, a search space consists of an huge number of elements to make an extensive search. Therefore, efficient search strategies are of vital importance. Search strategies based on genetic algorithms have been applied successfully in a wide range of applications.

Data Mining using Genetic Algorithm

18

Data Mining using Fuzzy Logic

19

Fuzzy logic is a computer-based logic that is focused on uncovering “degrees of truth” or “partial truths” rather than targeting the truth itself. Because of this it’s sometimes called many valued logic.

In Big Data analysis, and specifically the Smart Data analysis that we undertake, fuzzy logic is one of the key tools in uncovering truth.

Data Mining using Fuzzy Logic

20

Why AI & Big Data Need each other??

21

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.

Why AI & Big Data Need each other??

22

AI needs to research on market & competitors.

Example of Relationship between AI & Big Data

23

At the moment of ending our discussion we want to say another live example of relationship between AI & Big Data. That’s ….

Google Translate can be used online for free by anyone to translate text back in more than 70 languages. This statistical translator uses billions of word sequences and correlative algorithms.

Live Example of Relationship between AI & Big Data

24

Here to convert English to Chinese Google uses correlative algorithms (works as AI) and a huge database of words of both English & Chinese.

References & Information Sources

Google & Google Image Search Quora Slide-share Forbes YouTube www.automated-intelligence.com www.ai-one.com www.webopedia.com https://www.uic.edu (PDF) http://www.aaai.org/ (PDF) www.researchgate.net and few more ……….

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