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BIG DATA ANALYTICS AND ARTIFICIAL
INTELLIGENCE FOR AEROSPACE/AVIATION
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
Machine Intelligence
An autonomous entity that can observe and act upon its environment and make decisions like humans
Volume: scale of data Velocity: analysis of streaming data Variety: numerous forms of data Veracity: mitigating uncertainty of data 2
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
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
Why Big Data is a Big Deal
Machine Learning
Computing Power
Deluge of Data
Data Based Decisions
Convergence of factors: Data , Technology and Thinking
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
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.
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.
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
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
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
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
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.
Our Key Clients
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: [email protected] Phone: +91 7719882295 ; +91 9730463630