Tag: Data Engineer
How VistaPrint delivers personalized product recommendations with Amazon Personalize | Amazon Web Services
VistaPrint, a Cimpress business, is the design and marketing partner to millions of small businesses around the world. For more than two decades, VistaPrint...
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Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas | Amazon Web Services
This is a guest post co-written with Babu Srinivasan from MongoDB. As industries evolve in today’s fast-paced business landscape, the inability to have real-time...
Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions | Amazon Web Services
This is a guest post co-authored by Nafi Ahmet Turgut, Mehmet İkbal Özmen, Hasan Burak Yel, Fatma Nur Dumlupınar Keşir, Mutlu Polatcan and Emre...
Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning | Amazon Web Services
The ability to quickly build and deploy machine learning (ML) models is becoming increasingly important in today’s data-driven world. However, building ML models requires...
Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search | Amazon Web Services
Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such...
Harness large language models in fake news detection | Amazon Web Services
Fake news, defined as news that conveys or incorporates false, fabricated, or deliberately misleading information, has been around as early as the emergence of...
Putting AI challenges in perspective with partnerships
Sponsored Feature As the technology becomes more widely deployed across more vertical sectors and industries, the capacity of artificial intelligence (AI) to transform business...
Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker | Amazon Web Services
Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative...
MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD | Amazon Web Services
Maintaining machine learning (ML) workflows in production is a challenging task because it requires creating continuous integration and continuous delivery (CI/CD) pipelines for ML...
10 Highest-Paying AI Jobs: A Comprehensive Guide | BitPinas
Share some Bitpinas love:AI careers are flexible and diverse, as they require a combination of technical and non-technical skills and can involve various tasks...
Recommend and dynamically filter items based on user context in Amazon Personalize | Amazon Web Services
Organizations are continuously investing time and effort in developing intelligent recommendation solutions to serve customized and relevant content to their users. The goals can...
Define customized permissions in minutes with Amazon SageMaker Role Manager via the AWS CDK | Amazon Web Services
Machine learning (ML) administrators play a critical role in maintaining the security and integrity of ML workloads. Their primary focus is to ensure that...
Build custom chatbot applications using OpenChatkit models on Amazon SageMaker | Amazon Web Services
Open-source large language models (LLMs) have become popular, allowing researchers, developers, and organizations to access these models to foster innovation and experimentation. This encourages...
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