Ankit Awasthi | Source | Twilio
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Ankit Awasthi
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Ankit Awasthi | MLconf - The Machine Learning Conference
At Twilio Segment, I lead teams working on CustomerAI to empower our customers with predictive and generative AI tools that revolutionize personalized customer engagement. Prior to Twilio, I worked on leveraging state-of-the-art ML developments for applications and solutions across marketing automation, asset management, and high-frequency trading.
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AI Funds Face Dearth of Historical Data - Markets Media
Qplum turns to HFT data to meet its data needs.
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Deep Learning vs. Machine Learning: Key Insights for Businesses
Ankit notes, “Traditional ML models are easier to deploy and work well with structured data.” Deep learning, while powerful for unstructured inputs, requires more resources. Businesses should choose based on data type and infrastructure. AI's role will expand, necessitating investment in tools and governance to scale responsibly. -
AI Advisors: Transforming Engineering Management at Twilio
Ankit uses AI for brainstorming, gaining "a second opinion on issues related to people management," and conducting market research and analytics for product development. With over a decade of AI experience, Ankit highlights AI's transformative impact on engineering leadership.