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AWS DynamoDB with SingleStore; GCP & Salesforce; Top AI Services; Building Generative AI Workflows; New Snowflake Features

CLOUD DATABASE INSIDER

What’s in today’s newsletter

  • AWS DynamoDB with Singlestore

  • GCP and Salesforce

  • Excellent listing of the big 3 AI services

  • Building a Generative AI Workflow

  • New Snowflake features

AWS
Near real-time analytics on Amazon DynamoDB with SingleStore.

The AWS blog post discusses how to achieve near real-time analytics on Amazon DynamoDB using SingleStore.

It explains how integrating SingleStore with DynamoDB enables users to perform fast and complex queries on their data, facilitating real-time insights and analytics.

GCP
Salesforce and GCP join forces.

Salesforce and Google Cloud have partnered to introduce autonomous AI agents that work seamlessly across Salesforce and Google Workspace.

These AI agents aim to enhance productivity by enabling more efficient collaboration, automating tasks, and improving customer interactions.

AZURE
A pretty good article that covers all of the current AI services in the big 3 cloud companies.

DATABRICKS
The post outlines how to build a generative AI workflow for creating personalized marketing content.

It covers the process of leveraging AI to generate tailored messages, enhancing customer engagement, and streamlining marketing efforts.

SNOWFLAKE
New features from Snowflake.

Snowflake showcased its transformative Gen AI and AI Data Cloud solutions at GITEX 2024, highlighting how these technologies empower global businesses to harness the full potential of their data for AI-driven innovation and growth.

VECTOR DATABASES
Vector databases and RAG have entered the lexicon of the boardroom:

The article discusses how Retrieval-Augmented Generation (RAG) is being utilized in boardrooms to enhance decision-making.

By combining traditional data retrieval with generative AI models, RAG provides business leaders with more comprehensive insights, facilitating informed and strategic decisions.

DEEP DIVE
Nothing too hardcore today. I just want to make mention of the fact that if you are a data practitioner, and you get to a senior level, your duties will more than likely slowly transition from day to day tech work, to work more akin to diplomatic work.

You will need to be able to work with people, understand that people have their fiefdoms to protect, some people are very sensitive, and you will have disparate groups to work with, and get on your side.

I don’t think I am violating any corporate secrets by mentioning this. Just keep these things in mind, while juxtaposing all of the technical things that you need to know to be a successful data practitioner.

I have go now and put on my diplomat hat.

Gladstone