Remove AI Modeling Remove Data Analysis Remove Responsible AI
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With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency.

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The Path from RPA to Autonomous Agents

Unite.AI

While traditional AI tools might excel at specific tasks or data analysis, AI agents can integrate multiple capabilities to navigate complex, dynamic environments and solve multifaceted problems. Security and Privacy: Handling sensitive data in AI models poses privacy risks and potential security vulnerabilities.

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John Snow Labs Achieves CarbonNeutral® Certification for 2024, Championing Sustainability as a Pillar of Responsible AI

John Snow Labs

Training “Small” Task – Specific Language Models : Small models can not only be more accurate in specific tasks, but also faster and cheaper to run – requiring fewer energy-consuming compute resources. This reality makes it imperative for AI companies to prioritize sustainability.

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SAP’s Vision for AI-Powered Business: The Role of Joule and Open-Source Models

Unite.AI

The main goals of SAP’s AI vision focus on improving efficiency, simplifying processes, and supporting data-driven decisions. Through AI, SAP helps industries automate repetitive tasks, enhance data analysis , and build strategies informed by actionable insights.

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Top AgentOps Tools in 2025

Marktechpost

It helps developers identify and fix model biases, improve model accuracy, and ensure fairness. Arize helps ensure that AI models are reliable, accurate, and unbiased, promoting ethical and responsible AI development.

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O’Reilly “Generative AI in the Enterprise” 2023 Report

Unite.AI

A substantial majority, 77%, are using AI for programming tasks, indicating a significant shift towards automation in software development. Data analysis emerges as the second most common use case, with 70% of enterprises employing AI for this purpose.

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5 Best Large Language Models (LLMs) (September 2024)

Unite.AI

and position Grok-2 as a strong competitor to other leading AI models. xAI has not publicly detailed specific safety measures implemented in Grok-2, leading to discussions about responsible AI development and deployment. MMLU (Massive Multitask Language Understanding): 87.5% MMLU-Pro: 75.5% MathVista: 69.0% DocVQA: 93.6%