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Building and Scaling Gen AI Applications with Simplicity, Performance and Risk Mitigation in Mind Using Iguazio (acquired by McKinsey) and MongoDB

Iguazio

MongoDB for end-to-end AI data management MongoDB Atlas , an integrated suite of data services centered around a multi-cloud NoSQL database, enables developers to unify operational, analytical, and AI data services to streamline building AI-enriched applications. Start implementing gen AI applications in your enterprise today.

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Future-Proofing Your App: Strategies for Building Long-Lasting Apps

Iguazio

The 4 Gen AI Architecture Pipelines The four pipelines are: 1. The Data Pipeline The data pipeline is the foundation of any AI system. It's responsible for collecting and ingesting the data from various external sources, processing it and managing the data.

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How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get. Optimize recruiting pipelines.

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How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get. Optimize recruiting pipelines.

Tableau 98
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Implementing Gen AI for Financial Services

Iguazio

To learn more, watch the webinar “Implementing Gen AI for Financial Services” with Larry Lerner, Partner & Global Lead - Banking and Securities Analytics, McKinsey & Company, and Yaron Haviv, Co-founder and CTO, Iguazio (acquired by McKinsey), which this blog post is based on. View the entire webinar here. Read more here.

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Unlocking Tabular Data’s Hidden Potential

ODSC - Open Data Science

Many mistakenly equate tabular data with business intelligence rather than AI, leading to a dismissive attitude toward its sophistication. Standard data science practices could also be contributing to this issue. One might say that tabular data modeling is the original data-centric AI!

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Who is a BI Developer: Role, Responsibilities & Skills

Pickl AI

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.