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Enterprise Data Science Workflows with AMPs and Streamlit

Cloudera

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it.

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Change The Way You Do ML With Applied ML Prototypes

Cloudera

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. In our current landscape, businesses that have adopted a successful ML strategy are outperforming their competitors by over 9%. The implications of ML on the future of business are clear.

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Accelerating Projects in Machine Learning with Applied ML Prototypes

Cloudera

It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. In Cloudera’s recent report Limitless: The Positive Power of AI , we found that 87% of business decision makers are achieving success through existing ML programs. What are AMPs and why do they help?

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Does Cost Reduction Play a Role in Digital Transformation?

Cloudera

A major goal of these projects is cost reduction; it’s not sexy, it’s pragmatic. Finding opportunities for monetary savings offers the benefit of reducing costs, but more importantly, it enables a reallocation of budgets towards innovation projects. . Cost savings opportunities. Let’s look at some examples for savings potential.

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Accelerating Cost Reduction: AI Making an Impact on Financial Services

Cloudera

Financial services institutions are constantly challenged to strike the delicate balance between innovation and cost-saving as they seek out opportunities to decrease expenses while funding new application development projects.

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New Applied ML Prototypes Now Available in Cloudera Machine Learning

Cloudera

Some companies are starting to segregate the responsibilities of the unicorn data scientist into multiple roles (data engineer, ML engineer, ML architect, visualization developer, etc.), We are very excited to announce the release of five, yes FIVE new AMPs, now available in Cloudera Machine Learning (CML).

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How SikSin improved customer engagement with AWS Data Lab and Amazon Personalize

AWS Big Data

To overcome these two challenges, SikSin participated in the AWS Data Lab program to assist them in building a prototype solution. The AWS Data Lab offers accelerated, joint-engineering engagements between customers and AWS technical resources to create tangible deliverables that accelerate data and analytics modernization initiatives.