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Скачать или смотреть Streaming Data for AI sans Hallucination | Aerospike Summit India 2024

  • Aerospike
  • 2025-06-10
  • 20
Streaming Data for AI sans Hallucination | Aerospike Summit India 2024
Summit India 2024AIGenerative AIStreaming DataReal-Time DataApache KafkaConfluentData PipelinesLLMRAGData GovernanceReverse ETLData StreamingPrompt EngineeringAI InfrastructureMachine LearningEnterprise AIData IntegrationFraud DetectionReal-Time AnalyticsChatbotsAI HallucinationOLTPOLAPFeature EngineeringConfluent IndiaAerospikeGenAIKafka Use CasesData Architecture
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Описание к видео Streaming Data for AI sans Hallucination | Aerospike Summit India 2024

Learn the immense value of streaming data for AI and mechanisms with which commissioned AI provides consistent, veritable and governed outcomes. Try Aerospike Cloud for free: https://auth.control.aerospike.cloud/...

In this insightful and engaging keynote from the Aerospike India Summit, Rohit Vyas, Country Head of Pre-Sales at Confluent India, explores why real-time streaming data is the backbone of reliable, governed, and high-performing AI applications.

Join Rohit as he breaks down how modern organizations can move from slow, siloed data architectures to streaming-first data platforms that power everything from Generative AI (GenAI) to fraud detection and context-aware chatbot interactions.

🧠 Key Takeaways:
"There is no AI without data": Why real-time, contextual data is critical for both predictive and generative AI.

The problem of hallucination in GenAI: How stale data leads to low-trust responses, and how data streaming helps solve it.

AI architecture deep dive: How LLM applications use streaming in four key pillars: data augmentation, inference, workflow orchestration, and post-processing.

Reverse ETL and operational feedback loops: Why insights must not only be generated but acted on in real time.

The role of Confluent (Kafka) in modern data pipelines: Powering UPI, rideshares, fashion e-commerce, and more.

🔧 Technologies Discussed:
Apache Kafka / Confluent Cloud

Retrieval-Augmented Generation (RAG)

LLMs (ChatGPT, Gemini, etc.)

Real-time stream processing

OLTP + OLAP convergence

Reverse ETL

Data governance and schema enforcement

💡 Real-World Use Cases:
Fraud detection in banking and fintech

Real-time customer experience in e-commerce and mobility

Context-aware chatbots in travel and support

LLM prompt engineering powered by current data

Feature engineering for ML models at scale

Whether you’re a developer, architect, data scientist, or AI strategist, this session provides a comprehensive, practical, and forward-looking understanding of how real-time data streaming is the foundation for modern AI.

🧠 About the Speaker:
Rohit Vyas leads Pre-Sales at Confluent India and brings deep industry insight from helping India’s biggest digital platforms, from UPI and e-commerce to gaming and finance, build scalable, streaming-first systems.

🔗 Learn More:
Explore Aerospike: https://www.aerospike.com

Aerospike Database
https://aerospike.com/products/database/

Aerospike Documentation Guide
https://aerospike.com/docs/

Build with Aerospike
https://aerospike.com/docs/develop/

#GenerativeAI #StreamingData #Confluent

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