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What is data architecture? A framework to manage data

CIO

Beyond breaking down silos, modern data architectures need to provide interfaces that make it easy for users to consume data using tools fit for their jobs. According to data platform Acceldata , there are three core principles of data architecture: Scalability. Choose the right tools and technologies. Scalable data pipelines.

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OpenAI’s new tool attempts to explain language models’ behaviors

TechCrunch

In an effort to peel back the layers of LLMs, OpenAI is developing a tool to automatically identify which parts of an LLM are responsible for which of its behaviors. OpenAI’s tool attempts to simulate the behaviors of neurons in an LLM. OpenAI’s tool exploits this setup to break models down into their individual pieces.

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Top 11 LLM Tools That Ensure Smooth LLM Operations

Openxcell

There are LLM model tools that ensure optimal LLM operations throughout its lifecycle. USE CASES: LLM and RAG app development Ollama Ollama is an LLM tool that simplifies local LLM operations. It is compatible with different APIs, chat and embedding models, integration tools, and LLMs for developing AI apps.

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Bridging the IT skills gap, Part 1: Assessing current strategies and introducing GenAI as a unified solution

CIO

The gap between emerging technological capabilities and workforce skills is widening, and traditional approaches such as hiring specialized professionals or offering occasional training are no longer sufficient as they often lack the scalability and adaptability needed for long-term success.

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MLOps 101: The Foundation for Your AI Strategy

Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects?

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Cloud analytics migration: how to exceed expectations

CIO

The right tools and technologies can keep a project on track, avoiding any gap between expected and realized benefits. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

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AI in action: Stories of how enterprises are transforming and modernizing

CIO

AI practitioners and industry leaders discussed these trends, shared best practices, and provided real-world use cases during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI. AI is no longer just a tool, said Vishal Chhibbar, chief growth officer at EXL. Its a driver of transformation.

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Scaling to the Masses - Fit Your Product for a Larger User Base

Speaker: Dustin Smith, Sr. Product Manager, Incubator

Romantic notions aside, the story neglects to mention the most essential variable to product success: scalability. Whether you're running a small startup or trying to get your idea to take off in a large corporation, you'll need the right tools and perspective to scale your product.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

We’ll explore essential criteria like scalability, integration ease, and customization tools that can help your business thrive in an increasingly data-driven world. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs?

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.