AWS Machine Learning Blog

AUGUST 4, 2023

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. We’re excited to announce Amazon SageMaker and Salesforce Data Cloud integration. The inference endpoints are connected with Data Cloud to drive predictions in real time.

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Marktechpost

JULY 18, 2023

The entire ETL procedure is automated using an ETL tool. ETL solutions employ several data management strategies to automate the extraction, transformation, and loading (ETL) process, reducing errors and speeding up data integration. Informatica created the PowerCenter product as a means of integrating data.

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The MLOps Blog

MARCH 15, 2023

As the volume of data keeps increasing at an accelerated rate, these data tasks become arduous in no time leading to an extensive need for automation. This is what data processing pipelines do for you. Data Consumption : You have reached a point where the data is ready for consumption for AI, BI & other analytics.

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ETL Categorization Automation Data Integration 59

Pickl AI

JUNE 23, 2023

In the world of artificial intelligence (AI), data plays a crucial role. It is the lifeblood that fuels AI algorithms and enables machines to learn and make intelligent decisions. And to effectively harness the power of data, organizations are adopting data-centric architectures in AI. text, images, videos).

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Continuous Learning Data Quality AI AI 52

AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

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Marktechpost

JULY 17, 2023

AI picks up knowledge by acquiring it, then applies it to new judgments. By teaching computers to reply just as well as—or better than—humans, artificial intelligence (AI) aims to identify the best answer. It relates to employing algorithms to find and examine data patterns to forecast future events.

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Marktechpost

JULY 17, 2023

It is impossible to completely substitute accurate data because precise, accurate data are still needed to generate practical synthetic examples of the information. How Important Is Synthetic Data? AI models are typically more accurate when they have more varied training data. million.

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Artificial Corner

JUNE 6, 2023

Uncover the evolution of data engineering, from storage to real-time processing and AI integration. Then, we will dive deep into how real-time processing and AI integration have revolutionized data pipelines, empowering advanced analytics, intelligent applications, and data-driven decision-making.

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The MLOps Blog

OCTOBER 3, 2023

If you’re just faking it like a lot of Chat GPT and Gen AI folks are – faking it with no substance – people can’t connect. They started off as doing data integrations, and then became the ML monitoring team. Mailchimp seeks to make it easier and to automate it. People can connect with that.

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ML Data Scientist Machine Learning Data Science 52