Home > Resources > Whitepapers > THE COMPUTEINFRASTRUCTURE NEEDED FOR PREDICTIVE ANALYTICS

THE COMPUTEINFRASTRUCTURE NEEDED FOR PREDICTIVE ANALYTICS

November 26, 2019

Modernized organizations are leveraging the transformative benefits of predictive analytics to propel their business forward. Predictive analytics arm you with knowledge and insights that can make the difference between profits and losses. They use modeling, machine learning, and artificial intelligence to analyze current data and make predictions about the future. Every industry can benefit from predictive analytics. Those who ignore the potential here are squandering a huge opportunity to grow or create better experiences. The recent dramatic progress in AI-based predictive analytics and machine learning provides organizations with the power to unlock tremendous value from previously hard to decipher data. Through the power of AI-enabled infrastructure, you can harness the predictive analytics/machine learning wave and gain business advantages that will not only keep you in the game, but at the leading edge. Automated server capabilities and the right server for the job will get you where you need to go. This eBook focuses in on how server automation, along with the right servers for the workload, empowers companies to make great strides in the world of machine learning and predictive analytics.

I'm For Real

Enter your details once to access all our information and resources

 

Spotlight

Mode

Mode was founded in 2013 by Derek Steer, Benn Stancil, and Josh Ferguson. While working in analytics at Yammer, they saw Amazon Redshift and other cloud-based data warehouses making it possible for companies of all sizes—not just tech giants—to gather and analyze data.

OTHER WHITEPAPERS
news image

How Analytics & Data Science Teams can leverage the Semantic Layer

whitePaper | June 3, 2022

Analyzing data has been a unique business activity for at least 5,000 years, and possibly as long ago as 20,000 years. We have come a long way in how we count, summarize, analyze, predict, and prescribe upcoming courses of action in science, business, and all fields of human endeavor. In the past 75 years, the progress in how we analyze data has increased exponentially. We now regularly build analytical models and complete applications that analyze massive amounts of data.

Read More
news image

Build Modern Data Streaming Analytics Architectures on AWS

whitePaper | December 1, 2022

Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon.

Read More
news image

Why Multi-Cloud is Imperative to Any Modern Data Strategy

whitePaper | September 7, 2022

Today, organizations are increasingly seeking technologies that simplify the deployment of their application workloads in a multi-cloud design to get lower TCO, build best-of-breed solutions, and avoid vendor lock-in. Whether to optimize the costs of running and managing private cloud or to enable developer velocity to efficiently build the modern, intelligent applications of tomorrow, the benefits of multi-cloud offerings are an attractive proposition for enterprises.

Read More
news image

Data & AI Survey Report 2021/2022

whitePaper | September 2, 2022

This year, unlike previous years, we asked professionals the most difficult elements of a successful data strategy instead of the most important.

Read More
news image

Top considerations for cloud native databases and data analytics

whitePaper | October 1, 2021

centering your database and data analytics workload development and deployment on a Kubernetes-based container, you can create a more efficient and speedy data life cycle. Access this white paper to learn how to improve key capabilities for database and data analytics workloads across hybrid cloud environments.

Read More
news image

Build a thriving business using data and analytics at scale

whitePaper | February 7, 2020

The problem is that growing volumes of data can lead to data paralysis, because no one knows quite where to begin or how to use it. Siloed information sources, no data management strategy, disconnected spreadsheets or analytical tools and poor data quality all work to compound the issues you’re facing.

Read More

How Analytics & Data Science Teams can leverage the Semantic Layer

whitePaper | June 3, 2022

Analyzing data has been a unique business activity for at least 5,000 years, and possibly as long ago as 20,000 years. We have come a long way in how we count, summarize, analyze, predict, and prescribe upcoming courses of action in science, business, and all fields of human endeavor. In the past 75 years, the progress in how we analyze data has increased exponentially. We now regularly build analytical models and complete applications that analyze massive amounts of data.

Read More

Build Modern Data Streaming Analytics Architectures on AWS

whitePaper | December 1, 2022

Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon.

Read More

Why Multi-Cloud is Imperative to Any Modern Data Strategy

whitePaper | September 7, 2022

Today, organizations are increasingly seeking technologies that simplify the deployment of their application workloads in a multi-cloud design to get lower TCO, build best-of-breed solutions, and avoid vendor lock-in. Whether to optimize the costs of running and managing private cloud or to enable developer velocity to efficiently build the modern, intelligent applications of tomorrow, the benefits of multi-cloud offerings are an attractive proposition for enterprises.

Read More

Data & AI Survey Report 2021/2022

whitePaper | September 2, 2022

This year, unlike previous years, we asked professionals the most difficult elements of a successful data strategy instead of the most important.

Read More

Top considerations for cloud native databases and data analytics

whitePaper | October 1, 2021

centering your database and data analytics workload development and deployment on a Kubernetes-based container, you can create a more efficient and speedy data life cycle. Access this white paper to learn how to improve key capabilities for database and data analytics workloads across hybrid cloud environments.

Read More

Build a thriving business using data and analytics at scale

whitePaper | February 7, 2020

The problem is that growing volumes of data can lead to data paralysis, because no one knows quite where to begin or how to use it. Siloed information sources, no data management strategy, disconnected spreadsheets or analytical tools and poor data quality all work to compound the issues you’re facing.

Read More
More Whitepapers

Spotlight

Mode

Mode was founded in 2013 by Derek Steer, Benn Stancil, and Josh Ferguson. While working in analytics at Yammer, they saw Amazon Redshift and other cloud-based data warehouses making it possible for companies of all sizes—not just tech giants—to gather and analyze data.

Events

DataConnect Conference

Conference