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Face Key-point Recognition Using CNN

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview of the project: The goal of this project is to forecast. The post Face Key-point Recognition Using CNN appeared first on Analytics Vidhya.

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The CFO’s role in the age of generative AI

IBM Big Data Hub

A generative AI agent or assistant can ingest and summarize structured and unstructured data from internal and external sources, parse through it and generate insights and patterns for financial information that can drive business value and potentially identify untapped revenue streams.

Finance 68
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5 Ways AI Is Transforming The Finance Industry

bridgei2i

As AI helps forecast the stock prices in the trading domain, it is one of the most powerful tools in the stock market. AI can monitor both the structured and unstructured data within seconds and provides traders with data-backed information to boost the decision-making process. AI is shaping the future of stock trading.

Finance 52
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Exploring real-time streaming for generative AI Applications

AWS Big Data

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting. Unlike traditional databases, processing large data volumes can be quite challenging. How to Choose the Right Big Data Analytics Tools?

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A Guide to Data Analytics in the Travel Industry

Alation

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Why is data analytics important for travel organizations?

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience. Thus, deep nets can crunch unstructured data that was previously not available for unsupervised analysis.