ESG Brief: Informatica Announces Innovations for AI-driven Data Management

Abstract:

Informatica, a leader in enterprise cloud data management, recently announced several enterprise data management enhancements across its unified, AI-powered Intelligent Data Platform to promote agility, efficiency, and productivity. Updates include next-generation analytics, an AI-powered data catalog, cloud and hybrid updates for AWS and MS Azure provisioning and autoscaling, data governance, privacy, 360 engagement, and a customer success portal.

Topics: Data Platforms, Analytics, & AI

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 Master Survey Results: 2020 Technology Spending Intentions Survey

Abstract:

ESG conducted a comprehensive online survey of IT professionals from private- and public-sector organizations in North America (United States and Canada) and Western Europe (UK, France, and Germany) between October 31, 2019 and November 26, 2019. To qualify for this survey, respondents were required to be senior IT professionals familiar and involved with their organization’s overall 2020 IT budget and spending plans. All respondents were provided an incentive to complete the survey in the form of cash awards and/or cash equivalents.

This Master Survey Results presentation focuses on 2020 IT budget expectations, technology initiatives and priorities, year-over-year spending change (overall and by different technologies), hiring/staffing challenges, and cloud adoption/usage trends.

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

ESG Research Report: The rise of cloud-based security analytics and operations technologies

Abstract:

Security analytics and operations can be complex, requiring highly skilled professionals and detailed processes. To overcome these issues, security teams tend to deploy an array of security analytics tools and technologies to collect, process, analyze, and act upon growing volumes of security telemetry. Despite this investment, however, many organizations continue to find it difficult to manage cyber risk or detect and respond to cyber incidents.

How can CISOs address these issues and develop effective security analytics and operations processes? In order to get more insight into these trends, ESG surveyed 406 IT and cybersecurity professionals at organizations in North America (US and Canada) involved with the planning, implementation, and/or operations of their organization’s information security policies, processes (including purchase decisions), or technical safeguards and familiar with their organization’s collection and/or analysis of security data in support of information security management strategy

Topics: Cybersecurity Data Platforms, Analytics, & AI Cloud Services & Orchestration

ESG Master Survey Results: Cloud-scale Security Analytics Survey

Abstract:

ESG’s Master Survey Results provide the complete output of syndicated research surveys in graphical format. In addition to the data, these documents provide background information on the survey, including respondent profiles at an individual and organizational level. It is important to note that these documents do not contain analysis of the data.

This Master Survey Results presentation focuses on the current strategies used for security analytics and operations, including the impact of public cloud resources for processing and storing large and fast growing volumes of security data.

Topics: Cybersecurity Data Platforms, Analytics, & AI Cloud Services & Orchestration

ESG Brief: Artificial Intelligence and Analytics Predictions for 2020

Abstract:

This ESG Brief will review some key predictions for 2020 in the artificial intelligence space, from skills gaps and actionable AI to chatbots and natural language processing.

Topics: Data Platforms, Analytics, & AI

ESG Master Survey Results: The State of Data Analytics

Abstract:

ESG’s Master Survey Results provide the complete output of syndicated research surveys in graphical format. In addition to the data, these documents provide background information on the survey, including respondent profiles at an individual and organizational level. It is important to note that these documents do not contain analysis of the data.

This Master Survey Results presentation focuses on the current people, process, and technology approaches to supporting data analytics activities, including business intelligence, enterprise data warehouses, data lakes, and public cloud-based services.

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration

ESG Brief: Cisco AI Network Analytics

Abstract:

Given the increasing complexity and scale of IT environments, it is becoming clear that technologies like artificial intelligence (AI) and machine learning (ML) will be required for operations teams to effectively and efficiently manage these environments. This is especially true for the network in highly distributed environments, since it plays an integral role in connecting data centers, clouds, and edge environments. Cisco wants to make its intent-based networking (IBN) solutions smarter, simpler, and more secure by adding AI/ML and multi-domain integration. At this year’s Cisco Live in San Diego, Cisco announced its latest innovations for IBN, AI Network Analytics, along with tight domain integration and additional AI/ML support in DevNet.

Topics: Networking Data Platforms, Analytics, & AI

ESG Master Survey Results: Artificial Intelligence and Machine Learning: Gauging the Value of Infrastructure

Abstract:

ESG’s Master Survey Results provide the complete output of syndicated research surveys in graphical format. In addition to the data, these documents provide background information on the survey, including respondent profiles at an individual and organizational level. It is important to note that these documents do notcontain analysis of the data.

This Master Survey Results presentation focuses on state of the artificial intelligence (AI) market with an IT and a data-centric lens to uncover drivers, challenges, budgets, and personas across the AI data pipeline.

Topics: Data Platforms, Analytics, & AI