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Tackling AI’s data challenges with IBM databases on AWS

IBM Journey to AI blog

The solution: IBM databases on AWS To solve for these challenges, IBM’s portfolio of SaaS database solutions on Amazon Web Services (AWS), enables enterprises to scale applications, analytics and AI across the hybrid cloud landscape. Let’s delve into the database portfolio from IBM available on AWS. 

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

Example Event Log for Process Mining The following example SQL-query is inserting Event-Activities from a SAP ERP System into an existing event log database table. DATANOMIQ Data Mesh Cloud Architecture – This image is animated! Central data models in a cloud-based Data Mesh Architecture (e.g.

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AI-powered assistants for investment research with multi-modal data: An application of Agents for Amazon Bedrock

AWS Machine Learning Blog

This post is a follow-up to Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets. They face many challenges because of the increasing variety of tools and amount of data. Analysts need to learn new tools and even some programming languages such as SQL (with different variations).

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Top Data Analytics Skills and Platforms for 2023

ODSC - Open Data Science

While a data analyst isn’t expected to know more nuanced skills like deep learning or NLP, a data analyst should know basic data science, machine learning algorithms, automation, and data mining as additional techniques to help further analytics. Cloud Services: Google Cloud Platform, AWS, Azure.

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Bioinformatics Scientists: A Comprehensive Guide

Pickl AI

The University of Nottingham offers a Master of Science in Bioinformatics, which is aimed at students with a background in biological sciences who wish to develop skills in bioinformatics, statistics, computer programming , and Data Analytics. Skills Develop proficiency in programming languages like Python , R, and SQL.

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How to Choose MLOps Tools: In-Depth Guide for 2024

DagsHub

Scikit-learn Scikit-learn is a machine learning library in Python that is majorly used for data mining and data analysis. Airflow supports various types of tasks, including Bash commands, Python functions, SQL queries, and more, allowing users to execute a wide range of tasks within their workflows.