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Aadhaar is the world’s largest biometric citizen database. It is used in India to register everyone with a face, fingerprint, and iris prints, from the age of 5. Younger citizens have to re-register every 5 years due to the constantly shifting nature of their biometric information. Aadhaar is primarily used for social welfare, keeping track of citizens’ proof of life and voting, and has been the target of many a controversy (including a hefty amount of lawsuits) in the past. However, the Indian government shows no indication of slowing down the project and has, in fact, accelerated its progress.
Every client is assigned a key member of our research team, based on their organization’s needs and goals. And, an unlimited number of Analyst Inquiry calls are available to answer your specific questions.
Cybersecurity Gets an Upgrade – Machine Learning, Automation, and the Potential for Artificial Intelligence
With each passing quarter cyberattacks are becoming increasingly more frequent and potent, causing organizations to adapt out of necessity to these emerging threats. Luckily, artificial intelligence (AI), machine learning (ML), and automation applications are also advancing rapidly and have finally found their way to cybersecurity.
This webinar will explore the benefits offered by these applications, as well as any vital prerequisites, and barriers for adoption. It will also describe the key current technologies (deep learning, user and entity behavior analytics [UEBA], and cognitive computing), provide insights regarding algorithm training approaches, and describe the current and future state of the market.This webinar will seek to answer key questions:
- How is ML applied in cybersecurity?
- How can companies derive value from it?
- What processes should be automated?
- What data sources should be used for algorithm training?
- What constitutes a good UEBA product?
- What does the future of AI hold for cybersecurity?
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