The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals.

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ML Data Scientist Machine Learning Data Science 52

Unite.AI

JUNE 4, 2024

Your experience with migrations, ML ops, building a Kubernetes Operator or your depth with complex data environments leveraging BigQuery are what’s meaningful to Zencore and its clients. This led to inconsistent data standards and made it difficult for them to gain actionable insights.

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Data Ingestion Data Platform Machine Learning Generative AI 130

Unite.AI

DECEMBER 13, 2024

Travel involves dreaming, planning, booking, and sharingprocesses that generate immense amounts of data. However, this data has remained largely underutilized. Yanoljas commitment to leveraging AI and advanced data platforms to improve these experiences was inspiring. Second, data is the foundation of AI.

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Software Engineer Data Quality Data Platform Automation 100

AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Initially, daily forecasts for each country are formulated through ML models. Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms.

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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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The MLOps Blog

MARCH 15, 2023

Data pipeline stages But before delving deeper into the technical aspects of these tools, let’s quickly understand the core components of a data pipeline succinctly captured in the image below: Data pipeline stages | Source: Author What does a good data pipeline look like? Uses secure protocols for data security.

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ETL Categorization Data Integration Automation 59

Marktechpost

JULY 17, 2023

IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

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Machine Learning Data Mining Data Scientist Data Science 98

AWS Machine Learning Blog

MAY 15, 2023

Getir used Amazon Forecast , a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts, to increase revenue by four percent and reduce waste cost by 50 percent. Mutlu Polatcan is a Staff Data Engineer at Getir, specializing in designing and building cloud-native data platforms.

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Neural Network Convolutional Neural Networks Metadata Data Scientist 77

Marktechpost

JULY 17, 2023

To educate self-driving cars on how to avoid killing people, the business concentrates on some of the most challenging use cases for its synthetic data platform. Its most recent development, made in partnership with the Toyota Research Institute, teaches autonomous systems about object permanence using synthetic data.

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Machine Learning Data Scientist Computer Vision Deep Learning 52

Artificial Corner

JUNE 6, 2023

Cloud-based data storage solutions, such as Amazon S3 (Simple Storage Service) and Google Cloud Storage, provide highly durable and scalable repositories for storing large volumes of data. AI and ML technologies have become increasingly accessible and are being leveraged to derive valuable insights from data.

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Data Mining Big Data ETL Machine Learning 52

Pickl AI

JUNE 11, 2024

Let’s explore some key features and capabilities that empower data warehouses to transform raw data into actionable intelligence: Historical Data Integration Imagine having a single, unified platform that consolidates data from all corners of your organization – sales figures, customer interactions, marketing campaigns, and more.

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ETL Data Mining Data Integration Actionable Intelligence 52

Marktechpost

NOVEMBER 1, 2024

Because it is a free tool, it appeals to businesses that wish to study some good ML models without making a financial commitment. Google Cloud Smart Analytics Google Cloud Smart Analytics delivers AI-powered tools for enterprises looking to transform data into strategic assets.

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Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 96

IBM Journey to AI blog

AUGUST 4, 2023

It’s often described as a way to simply increase data access, but the transition is about far more than that. When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard.

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Machine Learning Metadata Automation AI 183

AWS Machine Learning Blog

DECEMBER 11, 2024

Because Amazon Bedrock is serverless, you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications without having to manage any infrastructure. Tealium background and use case Tealium is a leader in real-time customer data integration and management.

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Generative AI Chatbots Prompt Engineer Prompt Engineering 67