article thumbnail

Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

Many businesses already have data scientists and ML engineers who can build state-of-the-art models, but taking models to production and maintaining the models at scale remains a challenge. Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations.

Analytics 102
article thumbnail

Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Wipro further accelerated their ML model journey by implementing Wipro’s code accelerators and snippets to expedite feature engineering, model training, model deployment, and pipeline creation. About the Authors Stephen Randolph is a Senior Partner Solutions Architect at Amazon Web Services (AWS).

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How Accenture is using Amazon CodeWhisperer to improve developer productivity

AWS Machine Learning

Accenture is using Amazon CodeWhisperer to accelerate coding as part of our software engineering best practices initiative in our Velocity platform,” says Balakrishnan Viswanathan, Senior Manager, Tech Architecture at Accenture. In this post, we illustrate how Accenture uses CodeWhisperer in practice to improve developer productivity.

Scripts 84
article thumbnail

23 Inspiring Women to Watch in 2023

TechSee

Caroline Yap, Director of AI Practice, Google Cloud – Caroline’s team accelerates customer transformations with AI and Industry Solutions, including Contact Center AI (CCAI), Vertex AI, and DocAI. She is a force to be reckoned with as a writer and speaker on customer experience.

article thumbnail

Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

Now we have low-code and no-code tools like Amazon SageMaker Data Wrangler , AWS Glue DataBrew , and Amazon SageMaker Canvas to assist with data feature engineering. However, a lot of these processes are still currently done manually by a data engineer or analyst who analyzes the data using these tools. SageMaker Pipeline Execution.

article thumbnail

Amazon SageMaker Studio Lab continues to democratize ML with more scale and functionality

AWS Machine Learning

Eda Johnson, Partner Industry Solutions Manager at Snowflake. Mark McQuade, Field Engineering at Roboflow. It effortlessly integrates with Snowpark, Snowflake’s developer framework, to provide an easy-to-get-started notebook interface for Snowflake Python developers.

article thumbnail

Calabrio Charts Record Year-on-Year UK Growth as Demand for Cloud Technology Soars During Lockdown

CSM Magazine

Before joining Calabrio, Niall spent 6 years with Qlik as Industry Solutions Director. He has 25 years of experience in data, analytics and BI, 15 of which have been with contact centres for leading companies in telecommunications, energy and high-tech industries.