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Wikibon 2021 Research Focus

Wikibon 2021 Research Focus

The Wikibon 2021 research focus is based on a community-based approach to deliver in-depth research and analysis across a broad range of enterprise technology topics. Our community has been built from the ground up using collaborative methods powered by Wikibon’s ethos of open content and theCUBE.

Wikibon was founded on the premise that practitioners collectively possess more knowledge than any one person or research entity. We have developed methods to package and curate that knowledge for our community. theCUBE is a digital offering that for more than ten years has operated TV productions at tech events. In addition, theCUBE operates digital studios on-premises and remotely from its offices in northern California and Massachusetts.

We also partner with several expert data providers, including Enterprise Technology Research (ETR), which publishes quarterly spending intentions data based on surveys of CIOs and enterprise technology buyers. Under our agreement, we can curate this survey data and selectively present data to support our research initiatives.

Our community comprises more than 50,000 individuals, many of whom have contributed their knowledge directly through interviews on theCUBE or in collaborative sessions with Wikibon Analysts.

Broadly, Wikibon’s topical coverage spans the following seven primary areas that have overlapping content vectors:

  • Cloud
  • Infrastructure
  • Data
  • Security
  • Enterprise Software
  • Edge computing
  • Emerging technologies

We provide selective market data, industry trends, customer spending patterns, key customer challenges, technology provider solutions, economic analysis, and analysis of relevant news within these sectors.

Cloud/Developers/Containers

Our cloud coverage primarily focuses on IaaS, PaaS, and SaaS, emphasizing the largest hyperscale cloud providers– namely AWS, Microsoft, and Google. We’ve recently added coverage of Alibaba. We focus on developers, which spans many sectors but generally bleeds into our cloud coverage, as do containers.

In addition, we sometimes touch on leading SaaS players in our cloud coverage, but we tend to cover them in our enterprise software activities.

Infrastructure

We collaborate with a large community of IT practitioners who have supported applications running on-premises within their own data centers for years. Our coverage spans traditional markets and associated vendors in servers, networking, storage, and the application of related technologies. Over the years, these individuals have seen their roles shift toward facilitating new computing models, the most significant being the emergence of the public cloud and the catalyst that has created for hybrid and cross-cloud models. The types of vendors we cover most closely in this space are Dell, IBM, Cisco, HPE, Pure Storage, NetApp, Nutanix, and many others.

Data/AI/Database/Related Tooling

For more than a decade, Wikibon has invested in coverage of data and related topics, including so-called big data and the variety of open-source projects associated with Hadoop and its descendants.  Our coverage of data is based on the premise that a digital business is a data business, and organizations must put data at the core of their operations. We believe the cloud has facilitated this transformation; however, organizations continue to struggle to get more value from data. Typical vendor coverage includes large database players like Oracle and SAP as well as Snowflake and a host of other database suppliers. We also cover the vendors associated with the early days of big data like Cloudera.

Our research in this space focuses heavily on changes in data architectural and organizational models that can facilitate transformations, such as the emergence of Cloud Database Platforms. Specifically, we believe increasingly that data architectures will be decentralized. Domain experts are the primary value creators of data product and services builders.

Enterprise Security

Our security coverage was upgraded in earnest in 2019 and further accelerated because of the work from home transition. Our primary focus here is understanding the shift from a traditional centralized network to supporting remote workers and corresponding changes in network architecture. Specifically, we focus on the increased emphasis on cloud security, zero trust, endpoint, identity access management, the role of analytics, ransomware remediation approaches, and related topics. In addition, our research has covered the “shared responsibility” model popularized by the hyperscale cloud players, notably AWS and its IaaS competitors.

We cover a wide range of companies, including Palo Alto Networks, Cisco, Crowdstrike, Okta, Zscaler, Fortinet, and many others in the highly fragmented security space.

Enterprise Software

Our coverage here spans applications and other areas such as application performance management. Our interest primarily focuses on the shift to SaaS from on-prem models. We generally cover this space based on our community’s interest in specific suppliers, ranging from Oracle, SAP, Infor, Salesforce, Workday, ServiceNow, and other emerging companies, including Elastic, Datadog, Dynatrace, and other APM suppliers. We also cover companies based on our participation in their events – e.g., Coupa. We also have extensively covered automation and RPA, specifically with an emphasis on leaders such as UiPath, Automation Anywhere, Blue Prism, and Pegasystems.

Edge Computing

Our work in this area generally focuses on sizing the massive IoT and edge opportunity and understanding the architectural requirements for real-time inferencing at the edge. We have performed extensive research using autonomous vehicles as a use case and studying Tesla’s decision to develop an Arm-based system and the implications for industry progression.

We believe that developers will win the edge, and cloud models will expand to the edge. We believe these models will require completely different architectures than today’s general-purpose x86 compute approaches.  Specifically, we see highly efficient processors at the edge handling real-time streaming workloads where much of the data is ephemeral. Some of this data is persisted at the edge, and a portion gets shipped back to the cloud for modeling and training purposes.

Emerging Technologies

We opportunistically cover trends in emerging technologies, including blockchain, Arm at the edge, heterogeneous compute architecture, data processing units (DPUs), new SoC architectures, emerging data analysis models, machine intelligence, inference, and many other technologies that our community asks us to investigate.

Disruption Forecasts

We tend to size markets that are ripe for disruption and take a long-term view of share shifts. For example, our original big data forecasts, ServerSAN and its impact on storage, Arm in the enterprise, the impact of flash on spinning disks, and Intel’s future. Our goal with these efforts is to identify what we see as changes outside the margin that will have a significant industry impact that will change the power structure within industry sectors.

Spending Analysis

We actively analyze spending patterns in enterprise tech across a broad taxonomy. We collaborate extensively with ETR, our data partner, to track tech spending at the macro level and within several sectors, including those cited above.

As always, we welcome feedback from our community on areas you’d like to see us cover. Please, if you have a request, don’t hesitate to contact us. 

Thanks for your continued support.

 

Keep in Touch

Thanks to Alex Myerson and Ken Shifman on production, podcasts and media workflows for Breaking Analysis. Special thanks to Kristen Martin and Cheryl Knight who help us keep our community informed and get the word out. And to Rob Hof, our EiC at SiliconANGLE.

Remember we publish each week on theCUBE Research and SiliconANGLE. These episodes are all available as podcasts wherever you listen.

Email david.vellante@siliconangle.com | DM @dvellante on Twitter | Comment on our LinkedIn posts.

Also, check out this ETR Tutorial we created, which explains the spending methodology in more detail.

Note: ETR is a separate company from theCUBE Research and SiliconANGLE. If you would like to cite or republish any of the company’s data, or inquire about its services, please contact ETR at legal@etr.ai or research@siliconangle.com.

All statements made regarding companies or securities are strictly beliefs, points of view and opinions held by SiliconANGLE Media, Enterprise Technology Research, other guests on theCUBE and guest writers. Such statements are not recommendations by these individuals to buy, sell or hold any security. The content presented does not constitute investment advice and should not be used as the basis for any investment decision. You and only you are responsible for your investment decisions.

Disclosure: Many of the companies cited in Breaking Analysis are sponsors of theCUBE and/or clients of theCUBE Research. None of these firms or other companies have any editorial control over or advanced viewing of what’s published in Breaking Analysis.

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