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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

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Streamline Sales Processes with Enterprise CPQ

Cincom

Managing sales processes across large organizations is complex. Fortunately, Configure, Price, Quote (CPQ) software provides specialized solutions purpose-built for streamlining sales in enterprise environments. Centralized Pricing Management: Pricing data gets consolidated within CPQ. What Is CPQ Software?

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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 104
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23 Inspiring Women to Watch in 2023

TechSee

Taksina Eammano, EVP & GM Field Service, Salesforce – Taksina is leading the conversation in applying AI and workflow to manage cost and improve field service outcomes while improving customer experience in the SFDC Field Service Customers. Kate champions digital innovations that create the best customer experience and solutions.

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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

According to Accenture , companies that manage to efficiently scale AI and ML can achieve nearly triple the return on their investments. An administrator can run the AWS CDK script provided in the GitHub repo via the AWS Management Console or in the terminal after loading the code in their environment.

Scripts 74
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Build an agronomic data platform with Amazon SageMaker geospatial capabilities

AWS Machine Learning

To meet the excess demand, farmers need to maximize crop yield and effectively manage operations at scale, using precision farming technology to stay ahead. With API Gateway , API access and authorization is integrated with AWS Identity Access Management (IAM), and offers native OIDC and OAuth2 support, as well as Amazon Cognito.

APIs 74
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Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

According to a Forbes survey , there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. However, a lot of these processes are still currently done manually by a data engineer or analyst who analyzes the data using these tools.