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Driving Next-Gen AI Applications with Real Time AI
The organization's real-time AI adoption has an impact on execution strategy. The execution of new projects or initiatives, such as the addition of intelligent devices for operational efficiency, the enhancement of real-time product recommendations, or the creation of new business models for real-time, typically takes place at the edge of an organisation by specialists, evangelists, and other innovative people.
Optimizing ML performance
Train models with the most up to date, accurate, real-time event datasets, synced with customer behaviour and business operations
Simplifying Data Engineering
Bring ML to real-time datasets, instantly ingesting data at massive scale without managing complex infrastructure and ops
Improving Data Governance
Maintain raw data, features, and models in Astra to streamline regulatory processes, reuse and model optimization
Enabling Real-time AI with Streaming Ingestion
Developing a vision for real-time artificial intelligence to unify leadership and reduce complexity to make data actionable for delivering real-time AI solutions. Use open-source frameworks and technologies to apply AI and machine learning to your most valuable company data and discover insights to get reliable, actionable results quickly without moving data.
Real Time Artificial Intelligence Solutions for Continuous Intelligence
Facial Detection and Recognition
Facial Recognition is an instance of biometric software that maps a person's facial traits and stores the information as a face print.
Design Real-time Face Detection and Recognition Systems
Involves performance monitoring and equipment condition monitoring during regular operations to reduce the chances of a breakdown.
Chatbots can consistently manage customer interactions 24x7 while continuously improving the quality of the responses and keeping costs down to automate workflows and free up employees from repetitive tasks.
Artificial intelligence opens new possibilities for robotic automation by enabling robots to sense and respond autonomously to their external environment in real-time.
AI is a significant component in the popularisation of self-driving cars. It can significantly evolve the radar, cloud connectivity, camera, control signals and GPS of the vehicle, making it easier to operate and safer to use.
Google Cloud Vertex AI
Helps in retrieving the latest feature values with low latency for highly accurate predictions, and extracting real-time datasets for training.
Building Real Time AI with AWS Fargate
Analyses and interprets the contents of structured and unstructured data, particularly audio and video and provide valuable insights to customers.
Azure Real time AI for Data Streaming
Provides a high-level example of a low-code, end-to-end lambda architecture for real-time and batch data streaming and covers how to deploy machine learning models for real-time and batch inference.
Scale AI workloads, for all your Enterprise Data
Define the future of applications, fueling growth and driving innovation with Real Time AI
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How can Ethics in AI have a better future?
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How to Implement Artificial Intelligence in DevOps?
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How to build a Successful Enterprise AI Platform?
Real Time AI Applications across major Industries
Building a vision for real-time artificial intelligence across various industries
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
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Key Enablers
Enablers for Accelerating Digital Transformation
Enterprise AI
Big Data Engineering
XAI
DevOps
Data Science
Agentic AI Systems
View All
RESET
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Digital Transformation Enablers
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Helping Enterprises develop Cloud Native and AI-First Capabilities
Enablers for Accelerating Digital Transformation
Artificial Intelligence Insights and Use Cases
Benefits of Generative AI in Energy Sector
Benefits of Generative AI in Energy Sector
The Role of Artificial Intelligence in Cyber Security Complete Guide
The Role of Artificial Intelligence in Cyber Security Complete Guide
Artificial Intelligence for Infrastructure Management and Automation
Artificial Intelligence for Infrastructure Management and Automation
Deep learning
Neural Networks
Model Visualization
Artificial Intelligence
Deep learning
Assisting organizations to undertake necessary measures at the right time by scanning data faster.
Neural Networks
Analysing data using machine perception, classification, or labelling raw input.
Understand the work procedure of Model Visualization and how it quantifies its impact on the business.
Artificial Intelligence
Get detail information about how AI Adoption changes the way of working for all industries.
