This presentation gives insights of Artificial Intelligence and Big data in the Aerospace and Aviation industry .

1. BIG DATA ANALYTICS AND ARTIFICIAL
INTELLIGENCE FOR AEROSPACE/AVIATION

2. What is Big Data Analytics
Big Data Analytics
Data whose scale, diversity and complexity requires new techniques and algorithms
to manage it and extract value and knowledge
4 V’s of Big Data Analytics
 Volume: scale of data
 Velocity: analysis of streaming data
 Variety: numerous forms of data
 Veracity: mitigating uncertainty of data
"The new raw material is not titanium or nickel but data" - Cedric Goubet

3. What is Machine Learning and Machine Intelligence
Machine Learning:
Algorithms capable of learning from both data and human interaction to enable
insights and make predictions
Machine Intelligence:
An autonomous entity that can observe and act upon its environment and make
decisions like humans

4. Problems and Challenges Faced by Aerospace Companies
 High Volumes of unstructured and sparse data
 Sensors are generating so much data that airlines often face the challenge of
interpreting it all.
 Tiny amount of all processes data put to use by Aerospace companies
 Making the right decisions in the right time
 Shortage of skilled experts in AI and Big data Analytics
 Delays in Conceptualization, Design, Production and operations with increased costs
 Need for Efficiency, Cost Effectiveness in real time with design, production, after
market , internal operations and flight operations
 No access to real time data from the Aircrafts
 Compelling business need to maintain competitive edge

5. Why Big Data is a Big Deal
Machine
Learning
Computing
Power
Deluge of Data
Data Based
Decisions
Convergence of factors: Data , Technology and Thinking

6. Big Data Analytics and Machine Learning Advantages in Aerospace
 Reduce Design and Production Costs
 Speed Up Production and ensure better performance of parts
 Optimize flight routes and save fuel
 Improve monitoring and maintenance of aircraft equipment
 Big Data Analytics using machine learning algorithms is going to be a better enabler
to design products, more efficient manufacturing and operations
 Better business decisions and internal operations with fully digitalized chain of data
 It will be about getting the right information to the right decision maker at the right
time For Eg. Better co-ordination between Suppliers and the production sites which
are far flung in India, China, Vietnam etc.
 Getting real time data from Aircrafts

7. Examples of Applications in Aerospace
 Using the correct analytics can help design more efficient airplanes as well as to
operate and maintain them more efficiently. For example, if you have a plane in
flight, Big Data can allow you to fly it more efficiently by adjusting the fuel
consumption rates for the particular flying conditions that it’s going through.
 You can also adjust the flight path to maximize efficiency as well as reduce
turbulence. Typically there are thousands of flight parameters that are being
recorded and transmitted during the flight. This data can be used to diagnose
potential issues before they occur.
 If there are issues with any of the systems or structure, you can collate that data with
flight operations and do prognostic/predictive analysis to take the appropriate action
before it happens.

8. Examples of Applications in Aerospace
 It really depends on the point of the lifecycle of the product and what data you are looking
for. In production, the quality of the parts can be monitored: Where the parts are in the
supply chain, where they are in assembly line position, and what’s the degree of
completeness versus the planned one? These data points can help make decisions in the
process of putting a product together.
 In flight, it could be things like the fuel consumption rate, stress levels, temperature, and
power usage. By monitoring those things we can make sure everything is working as it
should and if we detect any anomalous behavior, then we can use that to predict what might
happen. For example, if the part needs to be replaced when it lands, the system can send a
message and we can have the part waiting and replaced, thereby minimizing the turnaround
time. On our customer side, we can use Big Data to help them optimize maintenance
programs, pilot and crew scheduling to improve their overall operational efficiency. This all
ties back into design, as we can use the information of the existing fleet to help design the
next generation of airplanes more efficiently and be more cost-effective as well.

9. Big Investments in Big Data
Companies and organizations are investing Billions of dollars in Big Data,
Analytics and Artificial Intelligence
 Boeing, GE, Lockheed Martin, DOE, NASA
 Google, Microsoft, IBM, Facebook: Big Investments (Many Billions of Dollars)
 Universities: Data Analytics Programs
 Transforming Medical Diagnosis and Research
 Brain Initiatives: EU and US
 Federal Research: over $1 Billion

10. Our Expertise
 Artificial Intelligence and Machine Learning
 Big Data Design and Architecture
 Big Data Analytics
 Ultra Low Latency Design and Architecture
 Performance Tuning
 Reviewing and Designing Applications
 Database Consulting
 Security
 UI/UX based Technologies
 Vendor based Technologies

11. Our Expertise
 Programming in R/SAS/Tableau and other tools
 Data exploration and data visualization using R/SAS/Tableau and other tools
 Data mining using R/SAS/Tableau etc
 Data Analytics using R/SAS/Tableau etc
 Data Analytics with Python
 Machine Learning with Scikit and other tools
 NLP in Python /Java
 Data Science at Scale - Apache Spark
 Tensorflow for Advanced MI
 Deep Learning

12. Technologies and Software’s Covered
• Analytics
• Artificial Intelligence
• Machine Learning
• Data Science
• Android and IOS
• IOT
• Big Data
• Cloud Computing
• Emerging Technologies
• Microsoft
• Adobe
• SAP
• Oracle
• Java
• Cisco
• Green Plum
• Smart Client
• Tableau
• SAS
• Qlikview

13. Consulting Services
 Talent Search- We help organizations find talent - Entry level to Senior
Officers in the technology space.
 Contract Consultants- We assist companies in providing experts for
leading, mentoring, development and consulting as per the need of the client.
 Training - We have courses on all various technologies to train your existing
employees by leading experts. Our training’s can increase productivity of
employees by more than 200%.
 Cutting Edge Tools - We have experts in all the latest cutting edge tools in
Analytics , Machine Learning and other technologies.

14. Our Key Clients

15. Contact Us
We look forward on partnering with you and sharing your vision to ensure your success.
Pune Branch:
A2/11, Ujwal Park, NIBM Road,
Kondhwa Khurd, Pune – 411048.
Bangalore Branch:
191/519, 10C Main, Jayanagar
1st Block, Bangalore-560011.
Website: www.anikatechnologies.com
Sales and Support:
Email: sales@anikatechnologies.com
Phone: +91 7719882295 ; +91 9730463630