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Keynote Introduces New Analytics Suite

Keynote introduced Keynote Digital Performance Intelligence, a new cloud-based analytics suite that provides organizations with real-time insight into the performance of digital assets to improve customer experiences.

Built on top of Keynote’s new big data platform and leveraging Keynote’s Performance Management Suite, the product analyzes and benchmarks third party services and competitive performance against an organization’s digital assets. This allows IT and business users to collaborate and proactively improve performance.

Keynote Digital Performance Intelligence makes it easier for organizations to improve their decision-making and optimize revenue outcomes with accurate information into their competitive landscape and visibility into the impact of third-party services and content on digital assets. Line of business and IT users can work together to successfully optimize the reliability, availability and responsiveness of digital assets to support the dynamic needs of customers.

Keynote’s new analytics product arms organizations with the collective data they require to achieve a sustainable competitive edge with:

- Comprehensive competitive benchmarking: The new offering goes beyond just home or landing page analysis and provides end-to-end competitive benchmarking across organizations’ entire digital properties. As little as 250 milliseconds can mean the difference between growing revenue and losing customers.

- Real-time visibility: Rather than a view of monthly or even daily performance metrics, Keynote Digital Performance Intelligence provides instant and continuous insights into digital performance to answer IT and business user questions as they arise.

- Deeper analytics: Line of business and IT users can now benefit from performance metrics that analyze every stage of the page load process by region, mobile device type or browser, across a wide range of page component and third-party service categories, to better understand how page architecture impacts a customer’s ability to digitally engage.

- Third party content and service benchmarking: Keynote Digital Performance Intelligence highlights alternate third-party provider options when issues occur to accelerate the IT and business decision-making process with confidence.

“Digital channels have become the primary way customers find and interact with businesses,” said Jennifer Tejada, CEO of Keynote. “As organizations look to engage consumers through digital and mobile offerings, they often overlook the performance impact. Meanwhile, research has shown that customer tolerance for failure on digital channels is significantly decreasing. Our latest release provides the intelligence needed to help organizations increase revenue and achieve a digital advantage by ensuring exciting new services and sources of content do not come at the expense of the user experience.”

Keynote Digital Performance Intelligence extends Keynote’s commitment to optimizing digital business and is part of the Keynote platform.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

Keynote Introduces New Analytics Suite

Keynote introduced Keynote Digital Performance Intelligence, a new cloud-based analytics suite that provides organizations with real-time insight into the performance of digital assets to improve customer experiences.

Built on top of Keynote’s new big data platform and leveraging Keynote’s Performance Management Suite, the product analyzes and benchmarks third party services and competitive performance against an organization’s digital assets. This allows IT and business users to collaborate and proactively improve performance.

Keynote Digital Performance Intelligence makes it easier for organizations to improve their decision-making and optimize revenue outcomes with accurate information into their competitive landscape and visibility into the impact of third-party services and content on digital assets. Line of business and IT users can work together to successfully optimize the reliability, availability and responsiveness of digital assets to support the dynamic needs of customers.

Keynote’s new analytics product arms organizations with the collective data they require to achieve a sustainable competitive edge with:

- Comprehensive competitive benchmarking: The new offering goes beyond just home or landing page analysis and provides end-to-end competitive benchmarking across organizations’ entire digital properties. As little as 250 milliseconds can mean the difference between growing revenue and losing customers.

- Real-time visibility: Rather than a view of monthly or even daily performance metrics, Keynote Digital Performance Intelligence provides instant and continuous insights into digital performance to answer IT and business user questions as they arise.

- Deeper analytics: Line of business and IT users can now benefit from performance metrics that analyze every stage of the page load process by region, mobile device type or browser, across a wide range of page component and third-party service categories, to better understand how page architecture impacts a customer’s ability to digitally engage.

- Third party content and service benchmarking: Keynote Digital Performance Intelligence highlights alternate third-party provider options when issues occur to accelerate the IT and business decision-making process with confidence.

“Digital channels have become the primary way customers find and interact with businesses,” said Jennifer Tejada, CEO of Keynote. “As organizations look to engage consumers through digital and mobile offerings, they often overlook the performance impact. Meanwhile, research has shown that customer tolerance for failure on digital channels is significantly decreasing. Our latest release provides the intelligence needed to help organizations increase revenue and achieve a digital advantage by ensuring exciting new services and sources of content do not come at the expense of the user experience.”

Keynote Digital Performance Intelligence extends Keynote’s commitment to optimizing digital business and is part of the Keynote platform.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.