The democratization of machine learning with Apache Spark

Machine learning automates the development of analytic models that can learn and make predictions on data. It has been one of the fastest growing disciplines within the world of statistics and data science, but the barrier to entry has been high.

Data science platforms are engines for creating machine-learning solutions. This report evaluates 16 providers of data science platforms.

Read this white paper to learn:

  • How Apache Spark is broadening access to machine learning
  • Various machine learning use cases and scenarios
  • Why Apache Spark is the ideal platform for machine learning

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Introducing Notebooks: A power tool for data scientists

Introducing Notebooks: A power tool for data scientists Fast, flexible and collaborative data exploration and analysis Data exploration and analysis is a repetitive, iterative process, but in order to meet business demands, data scientists do not always have the luxury of long development cycles. What if data scientists could answer bigger and tougher questions faster? What if they could more easily and rapidly experiment, test hypotheses and work more collaboratively on interactive analytics?

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2017 Gartner Magic Quadrant for Data Science Platforms

IBM named a leader for data science platforms

Data science platforms are engines for creating machine-learning solutions. This report evaluates 16 providers of data science platforms.

Read the report to learn:

  • Why IBM is recognized as a leader
  • Why data science, analytics, and machine learning are the engines of the future

Complete the form to read the report today.

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From business insight to business action: Combining the power of IBM Predictive Analytics and IBM Decision Optimization

The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences.

Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes.

In this white paper, you’ll gain a better understanding of:

  • The difference between predictive and prescriptive analytics
  • How predictive and prescriptive actions complement one another to help you achieve optimized business decisions
  • IBM’s approach to creating a powerful end-to-end decision management system

Read the paper today to discover how to bridge the gap between insight and action.

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Cloud Data Protection for VMware Environments

As virtualization enables higher flexibility and scalability of infrastructure, protecting these environments becomes increasingly complex, resulting in heavy administrative overhead and infrastructure costs. Download our whitepaper to see how Druva’s unified data protection solution, and direct integration with vSphere & VMC (VMware Cloud on AWS) can reduce risk, cost, and the effort of managing today’s complex information environment.
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Druva Phoenix: Server Backup Born in the Cloud

Server backup, especially at companies managing multiple sites, is an inefficient, expensive process prone to errors. Druva Phoenix simplifies this process by enabling you to backup straight to the cloud, providing a seamless way to manage all your backup and archives centrally. Download our whitepaper to learn more about how Druva Phoenix can help your business!
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Drill Down: 5 BDR Fundamentals

There are five essential pieces to a sound backup and disaster recovery (BDR) plan, and IT pros who follow these steps are able to feel confident in their long-term organizational plan. Read this expert guide from Ben Maas, an independent consultant and system architect who has guided many companies through BDR deployments, to learn these five fundamentals. Understand how to size your environment, evaluate your BDR capabilities, and test your system for any surprises.
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Why Midsized Organizations Should consider EVault by Carbonite

Today it is possible, even for smaller organizations, to establish both backup and full-fledged hybrid data protection under one robust onsite/offsite underpinning. ESG has four recommendations to assist such organizations as they try to pursue a disk-to-disk-to-cloud data protection strategy in the right way, with particular consideration for EVault by Carbonite
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2017 Strategic Roadmap for Storage

Emerging storage hardware and software enable I&O leaders to lower acquisition costs per terabyte and improve manageability. In addition to focusing on agility, automation and cost reductions, IT leaders should address the cultural changes and skill set shortages caused by digital business projects.
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Leveraging the Power of the Next Generation Data Center

A visual infographic highlighting the five architectural principles of developing the Next Generation Data Center (NGDC), including scale-out, guaranteed performance, automated management, data assurance, and global efficiencies. This infographic typically accompanies the white paper, Designing the Next Generation Data Center, which is more in-depth account of the 5 principles.
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