Guide to Data Analytics, Machine Learning and AI for Aerospace and Defense
The aerospace and defense (A&D) sector is generating a wealth of data that can be used to improve operational efficiencies, streamline supply chain management, and proactively mitigate cybersecurity threats. The potential of big data analytics and machine learning is massive and the leading A&D organizations know it.
This industry brief will provide you with the tools and foundation to transform your big data into actionable insights with advanced analytics and machine learning.
Specifically, you will learn:
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The challenges of data science adoption within the aerospace and defense sector
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How tapping into a myriad of data sources can enable use cases from improving operational efficiencies to streamlining supply chain management
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The value of popular big data open-source technologies such as Apache SparkTM, Delta Lake and MLflow
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How a unified approach to data analytics in the cloud can help simplify data preparation and accelerate the use of AI and machine learning
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How a Fortune 100 company leveraged Databricks to deliver threat detection and response at petabyte-scale