ESG Master Survey Results: Supporting AI/ML Initiatives with a Modern Infrastructure Stack

Abstract:

This Master Survey Results presentation focuses on organizations in the process of transforming their businesses with artificial intelligence to understand the evolving data storage requirements of the next-generation applications and workloads supporting AI initiatives.

ESG conducted a comprehensive online survey of IT operations professionals from private- and public-sector organizations in North America (United States and Canada) between September 17, 2020 and September 26, 2020. To qualify for this survey, respondents were required to be IT professionals familiar and involved with evaluating, purchasing, and managing storage associated with AI initiatives for their organizations.

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

ESG Brief: Juniper Enters 2021 Focused on Client-to-cloud Vision: Delivering Superior User Experiences for the AI-driven Enterprise

Abstract:

The global pandemic significantly impacted organizations last year in many different ways. The biggest was undoubtedly the swift transition to work-from-home programs and the need to stand up technology to enable this shift. As a result, many organizations reported that these efforts had dramatically accelerated their company’s digital transformation efforts. ESG research validates this acceleration and highlights that some of the top goals of organizations’ digital transformation initiatives are to drive greater operational efficiencies and deliver differentiated customer experiences. Therefore, it shouldn’t be a surprise that technology vendors are also accelerating their efforts to deliver solutions to enable greater operational efficiency to address the increasing complexity arising from a highly distributed IT environment. A great example of this vendor transformation can be seen in the steps taken by Juniper Networks.

Topics: Networking Data Platforms, Analytics, & AI

ESG Research Report: 2021 Technology Spending Intentions Survey

Abstract:

Based on a survey of 664 global IT and business professionals at enterprise and midmarket organizations, the 2021 Technology Spending Intentions Survey examines the key business and technology priorities driving 2021 spending plans across a range of technology markets including infrastructure, cloud services, cybersecurity, artificial intelligence (AI), analytics, data protection, mobility, business applications, and more.

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

ESG Brief: Cisco Live 2020 - New and Enhanced Network Solutions to Fuel Digital Transformation

Abstract:

Cisco Live 2020 got a makeover this year—it went all digital (due to COVID-19) after being held live and in-person for the past 30 years. More than 120,00 people attended the event where Cisco demonstrated its commitment to the community and its customers. There were also plenty of announcements about new and updated services for networking, security, collaboration, and customer experience. In the networking arena, new services announced comprised a series of network insight capabilities covering a wide assortment of products across Cisco’s portfolio—focusing on accelerating digital transformation via enhanced and improved proactive and predictive services, and the vital ability to automate data center networks globally.

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

ESG Brief: Robotic Process Automation Adoption Trends

Abstract:

As organizations look for ways to streamline operations, improve efficiency, and reduce costs, they are increasingly embracing automation technology like robotic process automation (RPA). While some view RPA as an ultimate destination to achieve peak business and process efficiency, those organizations that view themselves as digitally transformed have already embraced it and have their eyes set on the next phase: intelligent automation, where RPA is paired with artificial intelligence (AI) and machine learning (ML) to not only interact with systems but also to predict future insights/outcomes based on trending data.

Topics: Data Platforms, Analytics, & AI

ESG Infographic: The Advantages of a Data Science Team

Abstract:

ESG research shows that using a formal data science team is tied to better business outcomes.

Use this infographic to understand what that means for IT organizations in terms of total data use, the public cloud, serverless analytics, and more.

Topics: Data Platforms, Analytics, & AI

ESG Brief: The Advantages of a Data Science Team

Abstract:

As organizations look to prioritize data-driven initiatives, the success of those initiatives will be directly tied to people, processes, and technology. While data science may seem aspirational or even foreign to some organizations, ESG research shows direct ties between organizations with a data science team and better use of data, better use of technology, and better business outcomes. For those organizations looking to drive greater business value through the use of data, a formal data science team can help.

Topics: Data Platforms, Analytics, & AI

ESG Brief: Will Data Lakes Drown Enterprise Data Warehouses?

Abstract:

With the value of data continuing to increase, organizations are constantly looking for better and faster ways to store, access, and analyze it. While many organizations have existing technologies to help stream, collect, store, and analyze both structured and unstructured data, challenges remain that are preventing wider usage of analytics within these organizations. With a goal of consolidating infrastructure and operational silos to address a constantly growing data footprint, data lakes are increasingly becoming the technology of choice.

Topics: Data Platforms, Analytics, & AI

ESG Brief: Enterprise Data Warehouse Trends

Abstract:

Enterprise data warehouses (EDWs) have existed for about 20 years, serving as the foundation of insight-driven organizations, delivering timely analysis and reporting of structured data; handling large analytics workloads; and supporting the high levels of concurrency that organizations demand. But while EDWs have been a familiar presence in many organizations, as companies look to reduce their data center footprints, increase organizational agility, and incorporate as much data as possible into their analytics workflows, the architectural rigidity, complexity, and cost of traditional EDWs have paved the way for modern data warehouses to better respond to the dynamic needs of the business.

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

ESG Brief: Cloud-based Analytics

Abstract:

As organizations look for better ways to integrate, analyze, visualize, and leverage insights from constantly growing data sets, the rise of the cloud has garnered significant interest and traction in the analytics space. The cloud offers numerous enterprise-class attributes that make it more appealing than on-premises environments for organizations, whether they are looking to embrace a data-driven culture or align specific technology to a single line of business.

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