Data teams and developers continue to serve as the lynchpin to businesses, overcoming shortcomings associated with more rapidly and reliably gaining insight from growing data sets. With improving data analytics for real-time business intelligence (BI) and customer insight consistently ranking as one of the business priorities driving significant technology spending, how are organizations enabling more end-users to actually leverage data? Skills gaps, collaboration, and accessibility have created several barriers for democratizing analytics across organizations, and pressure is being placed on data and software teams to make business intelligence easier to leverage and consume. But with the dynamic nature of the business being what it is today and the constant shifting of priorities, timeliness of delivery and accessibility of simplified analytics are being scrutinized. Embedded analytics is increasingly becoming the answer.
Insight
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Can an IT systems vendor really transform into a cloud service provider? With everything we saw from HPE and HPE GreenLake at this year’s HPE Discover 2021, I think we are going to find out pretty soon. With this year’s announcements, it’s clear HPE understands that modern IT wants a cloud-like experience everywhere, and HPE means to deliver it. -
Cloud-native applications now serve critical front-, middle-, and back-office business operations.
Find out how factors like container use, a diverse threat model, and shifts in approaches are affecting the market with this infographic.
For more information or to discuss these findings with an analyst, please contact us.
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ESG conducted a comprehensive online survey of information security and IT professionals from private- and public-sector organizations in North America (United States and Canada), Europe, Asia, Central/South America, and Africa between March 1, 2021 and April 7, 2021. To qualify for this survey, respondents were required to be information security and IT professionals from ISSA’s member list.
This Master Survey Results presentation focuses on the lives and experiences of cybersecurity professionals, including performance assessments of their cybersecurity leaders, as well as suggestions for what organizations can do to help cybersecurity professionals succeed.
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Listen in as Bob Laliberte and I discuss these two important research topics and capture technology and business insights into the future of the data center.
Distributed Cloud is a connected ecosystem of cloud services, developer-ready infrastructure, and legacy IT that provides consistent operations for modern applications.
Digital Ecosystems: How carriers, Telcos, MSPs, and CSPs are innovating and optimizing edge computing applications.
Key research questions will include:
- Where are businesses recognizing the value of interconnection?
- How are application architectures leveraging a distributed ecosystem?
- What are the challenges and priorities in deploying cloud-native application architectures that are acting as a catalyst for services outside the data center?
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Listen in as Bob Laliberte and I discuss these two important research topics:
Distributed Cloud is a connected ecosystem of cloud services, developer-ready infrastructure, and legacy IT that provides consistent operations for modern applications.
Observability from Code to Cloud: Optimizing cloud-native application architectures via AIOps-driven automation and FinOps cost optimization.
Key research topics will include:
- Are IT operations teams and developers functioning congruently with modern application processes & architectures?
- Where are businesses recognizing the benefits of automation coupled to observability and intelligence?
- How are businesses building a cloud operating model?
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Organizations today are digitally transforming their IT environments to become more agile and responsive to market and customer demands. While this typically includes people, process, and technology, the technology piece underpins many of the new processes and ensures your employees can collaborate and be productive. -
While AI is still considered nascent, the impact it is having on organizations that are embracing it early and often is profound. This serves as a key component to why organizations continue placing bets on AI. Even as skills gaps remain when it comes to incorporating AI into the business, organizations simply cannot afford to wait in adopting the technology as they risk being disrupted by the competition using AI today. With the rise of AI tools that simplify and automate several, if not all aspects of the AI lifecycle, expect adoption of AI to continue exploding for years to come.
If you’re interested in learning more or would like to discuss these findings with an analyst, please contact us.
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Organizations continue to prioritize AI investments with a goal of achieving a more data-centric future. While business objectives point to several areas where AI can help improve businesses both internally and externally, time to value continues to be scrutinized as organizations make massive investments in people, processes, and technology in support of AI initiatives. Opportunities to reduce time to value continue to pave the way for AI technology vendors that can help simplify the adoption and use of AI technology to support a growing number of use cases throughout the business.
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Though the cyclical AI lifecycle is riddled with complexity, the last mile of AI is proving to be the greatest challenge for organizations in their quest to leverage AI. Between diverse and distributed application environments, the rate at which growing data sets change and create data drift, and the dynamic needs of the business, several contributing factors lead to organizations suffering from AI deployment challenges. Both new and mature businesses leveraging AI continue to prioritize opportunities to simplify the last mile of AI—deploying AI into production—with a goal of reducing the amount of time it takes to get from trained model to production. This has paved the way for the emergence of technology to better enable businesses to deploy, track, manage, and iterate on a growing number of ML models in production environments.
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As organizations strive to utilize more data, data lakes are increasingly becoming an attractive option with limitless potential. Data lakes enable organizations to unite disparate data silos and make data more accessible across the business by serving as a centralized repository or collection of data, regardless of shape, speed, or size. Organizations can then leverage a data lake to feed other data-centric tools or utilize tools that sit on top of a data lake to work with the data in-place, such as query optimization solutions that can minimize data movement while enabling improved processing and analysis. And the economic advantages cannot be understated as organizations increasingly leverage cost-effective cloud storage and minimize operating costs through the consolidation of infrastructures silos.
If you’re interested in learning more or would like to discuss these findings with an analyst, please contact us.
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Listen in as Scott Sinclair and I discuss these two important research topics and capture technology and business insights into the future of the data center.
Distributed Cloud is a connected ecosystem of cloud services, developer-ready infrastructure, and legacy IT that provides consistent operations for modern applications.
Application Infrastructure: The impact of hybrid, multi-cloud, and cloud-native on developer velocity and legacy infrastructure
- How are organizations embracing cloud innovation while dealing with data center reality?
- What’s driving changes to infrastructure and new application architectures?
- Are organizational dynamics helping accelerate success or do they impede progress?
Can an IT systems vendor really transform into a cloud service provider? With everything we saw from HPE and HPE 
Organizations today are digitally transforming their IT environments to become more agile and responsive to market and customer demands. While this typically includes people, process, and technology, the technology piece underpins many of the new processes and ensures your employees can collaborate and be productive.