Tag: different teams
Seamlessly transition between no-code and code-first machine learning with Amazon SageMaker Canvas and Amazon SageMaker Studio | Amazon Web Services
Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your...
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Amarius Mims 2024 NFL Draft Profile
The 2024 NFL Draft will be a great event for teams to start building for their future. Here is the Amarius Mims 2024 NFL Draft...
Redefining Cybersecurity for a Comprehensive Security Posture
Cybersecurity is the practice of securing businesses' infrastructure and endpoints from unauthorized access. Multiple teams within an organization lead different aspects of cybersecurity. From...
Sales Order vs Invoice: Key differences, Role & Types
Tracking a sale from start to finish helps businesses maintain the right inventory levels, implement the best cash flow tactics, and ensure customers are...
Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools | Amazon Web Services
Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based...
How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch | Amazon Web Services
This is a guest post co-authored by Nafi Ahmet Turgut, Hasan Burak Yel, and Damla Şentürk from Getir. Established in 2015, Getir has positioned...
Cybersecurity is a Team Sport
A chain is only as strong as its weakest link. When it comes to cybersecurity and resilience, the entire organization should be involved. Good...
Low-hanging fruits in transforming AFC and AML with GenAI and Integrated Case Management
The two challenges everyone experience and the two answers you have been looking for in financial crime management
The financial industry is under constant scrutiny...
Simplify data prep for generative AI with Amazon SageMaker Data Wrangler | Amazon Web Services
Generative artificial intelligence (generative AI) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts...
Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker | Amazon Web Services
This is a joint blog with AWS and Philips. Philips is a health technology company focused on improving people’s lives through meaningful innovation. Since...
Vikings Trade for QB Josh Dobbs
The Minnesota Vikings wasted no time in trying to find a replacement for the injured Kirk Cousins. Just ahead of the 4:00pm ET trade...
Securing Cloud Identities to Protect Assets and Minimize Risk
As organizations increasingly move their data and workloads to the cloud, securing cloud identities has become paramount. Identities are the keys to accessing cloud...
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...