ESG Brief: Cloudera Machine Learning

Abstract:

Organizations are turning to AI technologies to enhance their data analytics capabilities and address the real-time needs of the business through faster, more accurate predictive insights. But between skills gaps, limited collaboration, and ineffective or minimally available tooling, organizations are looking for help. Cloudera has introduced Cloudera Machine Learning as the next evolution of their proven Cloudera Data Science Workbench to provide organizations with the help they need to achieve success in leapfrogging the competition using AI.

Topics: Data Platforms, Analytics, & AI

ESG Research Report: 2020 Technology Spending Intentions Survey

Abstract:

In order to assess technology spending priorities over the next 12-18 months, ESG recently surveyed 658 IT professionals representing midmarket (100 to 999 employees) and enterprise-class (1,000 employees or more) organizations in North America and Western Europe. All respondents were personally responsible for or familiar with their organizations’ 2019 IT spending as well as their 2020 IT budget and spending plans at either an entire organization level or at a business unit/division/branch level.

Survey participants represented a wide range of industries including manufacturing, financial services, healthcare, communications and media, retail, government, and business services.

Topics: Storage Cybersecurity Data Protection Networking Data Platforms, Analytics, & AI Converged Infrastructure Enterprise Mobility Cloud Services & Orchestration

ESG Research Report: The Evolution from Data Backup to Data Intelligence

Abstract:

A chasm exists between traditional “dumb” data backup, in which data is only moved around but not leveraged to drive or support business outcomes, and data management, in which data is better understood and reused for other technical or business purposes. The data protection space is undergoing a fundamental shift from traditional backup and recovery with the emergence of more autonomous AI-based solutions.

In order to understand how this confluence of changes is creating a dichotomy between currently available solutions and end-users’ desired data protection state in the next few years, ESG surveyed 359 IT professionals at organizations in North America (US and Canada) responsible for data protection technology decisions for their organization.

Topics: Data Protection data management