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How AI orchestration has become more important than the models themselves

CIO

As many companies that have already adopted off-the-shelf GenAI models have found, getting these generic LLMs to work for highly specialized workflows requires a great deal of customization and integration of company-specific data. Large language models (LLMs) just keep getting better. From Llama3.1 to Gemini to Claude3.5

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5 Things To Look For When Evaluating AI Startups

Crunchbase News

LLM customization Is the startup using a mostly off-the-shelf LLM — e.g., OpenAI ’s ChatGPT — or a meaningfully customized LLM? Different ways to customize an LLM include fine-tuning an off-the-shelf model or building a custom one using an open-source LLM like Meta ’s Llama. trillion to $4.4 trillion annually.

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Streaming Analytics in the Real World

Cloudera

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. The data shelf life is decreasing,” said Marr. This speed of change has enormous implications for businesses.

Analytics 101
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Freshflow is helping grocery retailers fight food waste

TechCrunch

The reasons manual reordering has persisted for this (fresh) segment of grocery retail are myriad, according to Mukhija — including short (but non-uniform) shelf lives; quality variation; seasonality; and products often being sold by weight rather than piece, which complicates ERP inventory data. revenue boost. million tonnes.

Retail 219
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Beacon Power Services raises $2.7M to improve electricity access for sub-Saharan African cities

TechCrunch

and Nigeria-based utility company provides energy management software and analytics for utilities. The CAIMs solves this by factoring in the unique conditions within which Africa’s utilities operate, for example, poor address systems, and helps them digitize their data, which serves as a foundation for network improvements.

Energy 231
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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., There is also a trade off in balancing a model’s interpretability and its performance.

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Making Zero Trust Architecture Achievable

Tenable

As part of this collaborative project, Tenable has participated in a lab demonstration of how to deploy examples of zero trust architecture in hybrid enterprise environments using commercially available technology contributions. How NIST is working with Tenable and other private sector stakeholders to better enable zero trust implementation.