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FusionStorm Launches Artificial Intelligence as a Service

FusionStorm launched a new offering, Artificial Intelligence as a Service (AIaaS).

AIaaS will help companies leverage the power of AI through an end-to-end solution that goes far beyond simply providing the relevant hardware, into the realm of solving tangible business problems. AIaaS can help with everything from data cleaning to modeling and ensuring code is scalable. FusionStorm’s approach combines hardware, software, and services to drive AI to its customers.

Matt Fornito, Head of Artificial Intelligence and Deep Learning at FusionStorm, says: “AI lives and breathes in all industries, but it’s difficult for most businesses to harness it in a meaningful way. FusionStorm has already helped companies from verticals including retail, manufacturing, finance, healthcare, and even self-driving cars. We’re excited to continue helping companies to grow with our new service.”

FusionStorm is also able to assist companies that would like to explore the opportunities of AI and are considering investing in an on-premise solution. Using FusionStorm’s DGX/AIRI system, customers can trial and test workloads and build deep learning models. This will give organizations a sense of what they can accomplish with deep learning and AI.

FusionStorm is also focused on tailoring AIaaS to the requirements of key customer contacts. This can help businesses grasp not just how AI can be applied, but how it will help them meet targets and solve pain points.

“Different contacts have different priorities,” Fornito explains. “Whereas marketing and strategy officers will be looking to understand customers better to reduce problems like churn, IT professionals care more about the performance or latency of AI systems. Meanwhile, at organizations that have data scientists in house, they’ll be considering how to rapidly build and deploy deep learning models to solve business problems.”

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FusionStorm Launches Artificial Intelligence as a Service

FusionStorm launched a new offering, Artificial Intelligence as a Service (AIaaS).

AIaaS will help companies leverage the power of AI through an end-to-end solution that goes far beyond simply providing the relevant hardware, into the realm of solving tangible business problems. AIaaS can help with everything from data cleaning to modeling and ensuring code is scalable. FusionStorm’s approach combines hardware, software, and services to drive AI to its customers.

Matt Fornito, Head of Artificial Intelligence and Deep Learning at FusionStorm, says: “AI lives and breathes in all industries, but it’s difficult for most businesses to harness it in a meaningful way. FusionStorm has already helped companies from verticals including retail, manufacturing, finance, healthcare, and even self-driving cars. We’re excited to continue helping companies to grow with our new service.”

FusionStorm is also able to assist companies that would like to explore the opportunities of AI and are considering investing in an on-premise solution. Using FusionStorm’s DGX/AIRI system, customers can trial and test workloads and build deep learning models. This will give organizations a sense of what they can accomplish with deep learning and AI.

FusionStorm is also focused on tailoring AIaaS to the requirements of key customer contacts. This can help businesses grasp not just how AI can be applied, but how it will help them meet targets and solve pain points.

“Different contacts have different priorities,” Fornito explains. “Whereas marketing and strategy officers will be looking to understand customers better to reduce problems like churn, IT professionals care more about the performance or latency of AI systems. Meanwhile, at organizations that have data scientists in house, they’ll be considering how to rapidly build and deploy deep learning models to solve business problems.”

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A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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