AI - AI Dynamics

Machine Learning Predicts Building Energy Use Efficiency

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20 May 2023 22h41

Predicting Site EUI Using Machine Learning: Introduction According to a report by the International Energy Agency (IEA), the lifecycle of buildings from construction to demolition was responsible for 37% of global energy-related and process-related CO2… https://
analyticsvidhya.com/blog/2023/04/p
redicting-site-eui-using-machine-learning/?utm_source=dlvr.it&utm_medium=twitter
…

→ View original post on X — @craigbrownphd

20 May 2023

Self Query Technology Expands to Weaviate Platform

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@hwchase17

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20 May 2023 22h24

Self query is really powerful – excited to see it expand to weaviate!

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20 May 2023

ChatGPT Azure Video Indexer Deep Archive Search

By

@marktabnet

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20 May 2023 22h10

Supercharge Archive Content Discovery with ChatGPT and Azure Indexer "In this blog post, we will explore how ChatGPT can be used to enable deep search on video archives after indexing using Azure Indexer."

→ View original post on X — @marktabnet

20 May 2023

Perplexity AI Review Coming Soon After Testing

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@alliekmiller

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20 May 2023 22h03

Yes I tested Perplexity AI. Yes it’s amazing. Will post a review soon. Cc @perplexity_ai

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20 May 2023

Series B Funding: Scaling Phase After Product-Market Fit

By

@alliekmiller

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20 May 2023 22h01

For folks wondering why Series B specifically: Pre-seed is testing Seed is product-mkt fit
Series A is cost & model efficiency
Series B is scale

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20 May 2023

Alteryx 2023.1 Release: Enterprise Cloud Analytics Platform

By

@alteryx

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20 May 2023 22h00

ICYMI: As the year of the #AlteryxCloud, you can now look forward to our latest release: 2023.1. Enterprise-ready and cloud-friendly! Watch this overview video for more details on the enhanced capabilities now at your fingertips: https://
youtu.be/oBsZc3fIU90 #AnalyticsForAll

→ View original post on X — @alteryx

20 May 2023

Series B AI Startups Shift Focus to Enterprise Monetization Strategies

By

@alliekmiller

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20 May 2023 22h00

Seeing more Series B AI startups without strong monetization have to double down on enterprise use cases like this and restructure their GTM teams. LLMs are too expensive to maintain both for free (unless you have $100M+ in funding).

→ View original post on X — @alliekmiller

20 May 2023