Real-Time Unified Data Layers: A New Era for Scalable Analytics, Search, and AI v 1.1Table of Contents Introduction 1. The Interconnection of Analytics, Search, and AI 2. What is a Real-Time Unified Data intelligence. For example: FMCG & Manufacturing need real-time production dashboards and historical analytics shared across plants & lines to improve Overall Equipment Effectiveness (OEE). Energy companies platforms require real-time monitoring and analytics to personalize experiences and ensure performance. 32. The Interconnection of Analytics, Search, and AI Analytics, search, and AI are deeply interconnected

for a standalone product (5 days to secure 1MM users). Generative AI = AI that can create content – text, images, audio, or code – based on learned patterns. Source: OpenAI Generative AI – Public Launch per Stanford University *Multimodal = AI that can understand and process multiple data types (e.g., text, images, audio) together. **Open-source = AI models and tools made publicly available for use, modification Strategy 5/24: OpenAI releases GPT-4o, which has full multimodality across audio, visual, & text inputs 7/24: Apple releases Apple Intelligence, an AI system integrated into its devices

method="POST">' '' '' '') def post(self): self.set_header("Content-Type", "text/plain") self.write("You wrote compiled_template_cache=False or debug=True. Template syntax A Tornado template is just HTML (or any other text-based format) with Python control sequences and expressions embedded within the markup:

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type="text" name="message">' '' '') def post(self): self.set_header("Content-Type", "text/plain") compiled_template_cache=False or debug=True. Template syntax A Tornado template is just HTML (or any other text-based format) with Python control sequences and expressions embedded within the markup:

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Relationships exist • Relationships are not self- evident • Requires expertise, SMEs, or analytics • Sense - Analyze - Respond • Apply “Good Practices” Ordered Systems Obvious Sense Categorize

HW Platforms ZCU102 ZCU104 Ultra96 PYNQ Face detection Pose estimation Video analytics Lane detection Object detection Segmentation Models© Copyright

our product data. We knew we had a winner on our hands! Nishant Gupta Senior Director, Data, Analytics and Computational Intelligence Product Note: OpenAI has launched Vision Fine-Tuning to further

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Basic Stream I/O . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301 22.2 Text I/O . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302 22.3 IO General I/O . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1166 53.2 Text I/O . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1193 53.3 Multimedia # Reassign x's value julia> x = 1 + 1 2 # You can assign values of other types, like strings of text julia> x = "Hello World!" "Hello World!" Julia provides an extremely flexible system for naming

Basic Stream I/O . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301 22.2 Text I/O . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302 22.3 IO General I/O . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1166 53.2 Text I/O . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1193 53.3 Multimedia # Reassign x's value julia> x = 1 + 1 2 # You can assign values of other types, like strings of text julia> x = "Hello World!" "Hello World!" Julia provides an extremely flexible system for naming