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Can AI Help us Achieve Work-Life Balance?

Analytics Vidhya

Historically, advancements like email and smartphones, while designed to streamline communication and enhance […] The post Can AI Help us Achieve Work-Life Balance? appeared first on Analytics Vidhya.

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The AI journey to discovery and achieving IT mastery

CIO Business Intelligence

What if artificial intelligence (AI) could prevent 1,000 potential outages and improve IT service health and delivery by more than 75%? The power of AI operations (AIOps) and ServiceOps, including BMC Helix Discovery , can transform how you optimize IT operations (ITOps), change management, and service delivery.

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Beyond “Prompt and Pray”

O'Reilly on Data

TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. Picture this: The current state of conversational AI is like a scene from Hieronymus Boschs Garden of Earthly Delights. Remember the simple chatbots of yesterday?

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João Moura Dropped CrewAI Version Update 0.98.0 – Check Here!

Analytics Vidhya

CrewAI, a leading platform for AI-driven automation and agent development, continues to push the boundaries of what AI agents can achieve. With the release of version 0.98.0, CrewAI has introduced several significant features and improvements. In a recent tweet, Joo Moura highlighted the latest updates: Major CrewAI Update 0.98.0

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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How to Move Generative AI Applications to Production?

Analytics Vidhya

Introduction Deploying generative AI applications, such as large language models (LLMs) like GPT-4, Claude, and Gemini, represents a monumental shift in technology, offering transformative capabilities in text and code creation. appeared first on Analytics Vidhya.

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How to Set AI Goals

O'Reilly on Data

AI Benefits and Stakeholders. AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI Goals as a Function of Maturity.

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10 Keys to AI Success in 2021

Capitalizing on the incredible potential of AI means having a coherent AI strategy that you can operationalize within your existing processes. Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. AI storytelling in communicating value to your organization.

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AI in Manufacturing

In our AI in Manufacturing eBook, you can learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform. Get this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. Their problems and needs don’t change, but the technology and solutions do.

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The Practical Guide to Using a Semantic Layer for Data & Analytics

Download this guide for practical advice on how to use a semantic layer to unlock data for AI & BI at scale. How to achieve speed of thought query performance and consistent KPIs across any BI/AI tool, such as Excel, Power BI, Tableau, Looker, DataRobot, Databricks and more.

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Common Use Cases for Mathematical Optimization

Want ballpark estimates of value and benefits achieved through optimization. Want examples where optimization is used in combination with other types of AI techniques, such as machine learning. This guide is ideal if you: Are curious about the different application areas for mathematical optimization.