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.
Data Management, Analytics & AI
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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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As with any event, Sapphire 2021 was loaded with product launches, updates, and delighted customers who shared how they are working with SAP to better leverage data that can enable them to adapt to a dynamic business environment. At the root of the keynote and breakout sessions was a common theme that likely resonated with most, if not all, attendees and that was the idea of extending the value of working together as a community to the business. -
In this video, I share my perspectives on VeeamON 2021.
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Cloud-based data protection is the new norm according to recent Enterprise Strategy Group research, but many IT professionals are misinformed about the data protection levels SaaS solutions provide—leading to risk.
See the data behind these trends and more 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 IT professionals from private- and public-sector organizations in North America (United States and Canada) between January 22, 2021 and January 31, 2021. To qualify for this survey, respondents were required to be IT professionals responsible for data protection technology decisions for their organization.
This Master Survey Results presentation focuses on understanding cloud data protection challenges, plans, and strategies by probing how organizations are protecting data in the cloud, as well as how they are leveraging cloud services to protect data to the cloud.
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The broad adoption of public cloud services as a source and repository of business-critical data is placing the onus on data owners to deliver on data protection SLAs of applications, and their associated data, that are cloud-resident. Many users are confused about what exact data protection levels public cloud infrastructure and SaaS solutions provide, leading to potential data loss and compliance risks. Concurrently, on-premises backup and disaster recovery strategies are increasingly leveraging cloud destinations, resulting in hybrid data protection topologies with varying degrees of service levels and end-user tradeoffs and opportunities. How do IT organizations utilize cloud services as part of their data protection strategy today?
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Commvault is celebrating its 25th birthday and what a ride it has been so far! I have to admit that Commvault has a special place in my heart because I pretty much started in this space at the same time and have known the company as a partner and then as a (fringe) competitor for many years when I was on the vendor side.The past couple of years are really the most important, in my view, as they totally changed the game for the company. I blogged about this a few times in the past. (Check out my blogs here.)
Commvault’s strategy was revisited by CEO Sanjay Mirchandani, with the effect of fundamentally changing the company’s portfolio, but more importantly its future prospects for many years to come in line with what I see as the fundamental market trend of intelligent data management.
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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.
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As organizations grapple with ongoing data ecosystem complexity, the key question being asked is: how can organizations take back control of their data ecosystem and enable more people to better leverage data that matters to them? I believe it starts with data empowerment for all the key data stakeholders throughout the business, including both experts and generalists alike. Organizations need help in ensuring the right people are empowered to do their jobs more effectively and not get inundated with tasks that fall outside of their job descriptions. While this is true across the entire business from IT and operations teams to business analysts and developers, an area that continues to have a spotlight put on it is the data team, consisting of data engineers, data scientists, and ML engineers. -
I have been tracking the progress and success of HYCU for the past 3 years or so. The company has consistently delivered on its roadmap and expanded its platform well beyond the original focus on Nutanix. Its leadership team with Simon Taylor at the helm resisted the (I am safely guessing) many temptations for an equity event these past few years—until recently with last week’s announcement of an $87.5m series A round. This is significant.
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Almost exactly a year ago I wrote about Veeam’s V10 and how it was positioning the company to better compete in the very contested enterprise space. It was a strong release and a turning point. V11 is the release that places Veeam more squarely in the coveted enterprise space. The product team has executed on their strategy and roadmap (although there is always more work ahead) to beef up the platform in several areas: snapshots, backup, replication, and continuous data protection.
As with any event, Sapphire 2021 was loaded with product launches, updates, and delighted customers who shared how they are working with SAP to better leverage data that can enable them to adapt to a dynamic business environment. At the root of the keynote and breakout sessions was a common theme that likely resonated with most, if not all, attendees and that was the idea of extending the value of working together as a community to the business.
Commvault is celebrating its 25th birthday and what a ride it has been so far! I have to admit that Commvault has a special place in my heart because I pretty much started in this space at the same time and have known the company as a partner and then as a (fringe) competitor for many years when I was on the vendor side.
As organizations grapple with ongoing data ecosystem complexity, the key question being asked is: how can organizations take back control of their data ecosystem and enable more people to better leverage data that matters to them? I believe it starts with data empowerment for all the key data stakeholders throughout the business, including both experts and generalists alike. Organizations need help in ensuring the right people are empowered to do their jobs more effectively and not get inundated with tasks that fall outside of their job descriptions. While this is true across the entire business from IT and operations teams to business analysts and developers, an area that continues to have a spotlight put on it is the data team, consisting of data engineers, data scientists, and ML engineers.
I have been tracking the progress and success of HYCU for the past 3 years or so. The company has consistently delivered on its roadmap and expanded its platform well beyond the original focus on Nutanix. Its leadership team with Simon Taylor at the helm resisted the (I am safely guessing) many temptations for an equity event these past few years—until recently with last week’s 
Almost exactly a year ago I wrote about Veeam’s V10 and how it was positioning the company to better compete in the very contested enterprise space. It was a strong release and a turning point.