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The key to operational AI: Modern data architecture

CIO Business Intelligence

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

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Generative AI: A Self-Study Roadmap

KDnuggets

Traditional machine learning systems excel at classification, prediction, and optimization—they analyze existing data to make decisions about new inputs. Instead of optimizing for accuracy metrics, you evaluate creativity, coherence, and usefulness. This difference shapes everything about how you work with these systems.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications.

IoT
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Why Python Pros Avoid Loops: A Gentle Guide to Vectorized Thinking

KDnuggets

This has major benefits, like reducing much of Python’s overhead. This isnt a small optimization, it will make your data processing tasks (I’m talking about BIG datasets) much more feasible. 492.00000000000006, 264.0, 492.00000000000006, 264.0, Now, I don’t just want to keep repeating “It’s faster” without solid proof.

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9 IT resolutions for 2025

CIO Business Intelligence

One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley. Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space.

IT
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Benefits of Using LiteLLM for Your LLM Apps

KDnuggets

That is why having an open-source tool such as LiteLLM is useful when you need standardized access to your LLM apps without any additional cost. Benefit 1: Unified Access LiteLLMs biggest advantage is its compatibility with different model providers. Let’s get into it. 06, additional_headers: {}, litellm_model_name: gemini/gemini-1.5-flash-latest}

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Go vs. Python for Modern Data Workflows: Need Help Deciding?

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Go vs. Python for Modern Data Workflows: Need Help Deciding?