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Embracing Smart Manufacturing: How AI and Automation Will Redefine 2025 and Beyond

Acuvate

The manufacturing sector is on the brink of a transformative era, driven by advanced technologies such as Artificial Intelligence (AI), Digital Twins, and IoT-enabled Smart Factories. According to Gartner , by 2025, 50% of manufacturers will use AI, IoT, and analytics to achieve operational resilience and business continuity.

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Unlocking the Potential of Retrieval-Augmented Generation (RAG)

Acuvate

In the rapidly advancing field of artificial intelligence, Retrieval-Augmented Generation (RAG) stands out as a transformative approach. By merging external knowledge with Large Language Models (LLMs), RAG overcomes the limitations of static training datasets, resulting in more dynamic, accurate, and context-aware outputs.

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Embracing Smart Manufacturing: How AI and Automation Will Redefine 2025 and Beyond

Acuvate

The manufacturing sector is on the brink of a transformative era, driven by advanced technologies such as Artificial Intelligence (AI), Digital Twins, and IoT-enabled Smart Factories. According to Gartner , by 2025, 50% of manufacturers will use AI, IoT, and analytics to achieve operational resilience and business continuity.

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Why Small-Scale Data Interventions No Longer Suffice in Forward-Thinking Enterprises

Acuvate

A McKinsey study predicts that as early as 2025 , seamless workflows and interactions between human and machine-based resources in organizations – otherwise known as Decision Automation – will become the norm. The efficacy of AI-at-scale interventions hinges on the quality, breadth, and depth of the underlying data.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.

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Why Small-Scale Data Interventions No Longer Suffice in Forward-Thinking Enterprises

Acuvate

A McKinsey study predicts that as early as 2025 , seamless workflows and interactions between human and machine-based resources in organizations – otherwise known as Decision Automation – will become the norm. The efficacy of AI-at-scale interventions hinges on the quality, breadth, and depth of the underlying data.

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9 Trends That Will Shape Work in 2025 and Beyond

Harvard Business Review

Within these challenges they offer nine predictions that address ongoing organizational concerns around technology, collaboration, employee retention, AI, knowledge management, and more.

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