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Apica Announces Generative AI Assistant for Ascent Platform

Apica announced the general availability of its Generative AI Assistant for the Apica Ascent Platform.

The first functionality introduced since Apica acquired Logiq.ai in August, Apica delivers advanced artificial intelligence capabilities to streamline and enhance data management worldwide.

The Apica Ascent platform gives users limitless storage, unified data pipeline control, and comprehensive insights at the lowest cost on the market. With the introduction of the Generative AI Assistant, Apica takes a significant step forward in simplifying and automating data management, enabling faster and more efficient delivery of high-quality contextualized data.

Ranjan Parthasarathy, Chief Strategy Officer (CSO) at Apica, said: “This marks a significant milestone in our mission to simplify data operations and give our customers much-needed relief over data growth, sprawl, complexity, and various challenges. By harnessing the power of artificial intelligence, we empower organizations to take full advantage of their data and get the most out of the applications they most care about.”

Strategically designed to reduce the friction common in the last mile of data analysis, the Generative AI Assistant provides context to analyzed data.

Apica’s new Generative AI capabilities help customers utilize time more efficiently by enriching data context and filling knowledge gaps. Additionally, customers now have the ability to bring their own modeling data to tune derivative output to meet their business objectives. The Generative AI Assistant will increase productivity and reduce toil by providing faster insights with more contextually relevant data. Thanks to its flexibility, the tool can be used for a broad set of data types and formats, giving context to data such as security and system events or OpenTelemetry data. This unique level of flexibility can be applied to both SaaS and on-premises deployments, ensuring Apica customers have access to the tools required to take full advantage of AI in their telemetry data streams. Apica’s data fabric architecture integrates many data sources and provides the necessary context. Now, with AI’s power, Apica adds context to all ingested data.

Apica is committed to providing users with amplified, rapid insights into their mission-critical data. The Generative AI Assistant integrates with the two leading vendors in the AI space, OpenAI ChatGpt and Azure OpenAI. Users can use popular models such as GPT-4 and GPT-3.5 Turbo or custom models on proprietary datasets.

The solution is available now globally.

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Apica Announces Generative AI Assistant for Ascent Platform

Apica announced the general availability of its Generative AI Assistant for the Apica Ascent Platform.

The first functionality introduced since Apica acquired Logiq.ai in August, Apica delivers advanced artificial intelligence capabilities to streamline and enhance data management worldwide.

The Apica Ascent platform gives users limitless storage, unified data pipeline control, and comprehensive insights at the lowest cost on the market. With the introduction of the Generative AI Assistant, Apica takes a significant step forward in simplifying and automating data management, enabling faster and more efficient delivery of high-quality contextualized data.

Ranjan Parthasarathy, Chief Strategy Officer (CSO) at Apica, said: “This marks a significant milestone in our mission to simplify data operations and give our customers much-needed relief over data growth, sprawl, complexity, and various challenges. By harnessing the power of artificial intelligence, we empower organizations to take full advantage of their data and get the most out of the applications they most care about.”

Strategically designed to reduce the friction common in the last mile of data analysis, the Generative AI Assistant provides context to analyzed data.

Apica’s new Generative AI capabilities help customers utilize time more efficiently by enriching data context and filling knowledge gaps. Additionally, customers now have the ability to bring their own modeling data to tune derivative output to meet their business objectives. The Generative AI Assistant will increase productivity and reduce toil by providing faster insights with more contextually relevant data. Thanks to its flexibility, the tool can be used for a broad set of data types and formats, giving context to data such as security and system events or OpenTelemetry data. This unique level of flexibility can be applied to both SaaS and on-premises deployments, ensuring Apica customers have access to the tools required to take full advantage of AI in their telemetry data streams. Apica’s data fabric architecture integrates many data sources and provides the necessary context. Now, with AI’s power, Apica adds context to all ingested data.

Apica is committed to providing users with amplified, rapid insights into their mission-critical data. The Generative AI Assistant integrates with the two leading vendors in the AI space, OpenAI ChatGpt and Azure OpenAI. Users can use popular models such as GPT-4 and GPT-3.5 Turbo or custom models on proprietary datasets.

The solution is available now globally.

The Latest

Significant improvements in operational resilience, more effective use of automation and faster time to market are driving optimism about IT spending in 2025, with a majority of leaders expecting their budgets to increase year-over-year, according to the 2025 State of Digital Operations Report from PagerDuty ...

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Are they simply number crunchers confined to back-office support, or are they the strategic influencers shaping the future of your enterprise? The reality is that data analysts are far more the latter. In fact, 94% of analysts agree their role is pivotal to making high-level business decisions, proving that they are becoming indispensable partners in shaping strategy ...

Today's enterprises exist in rapidly growing, complex IT landscapes that can inadvertently create silos and lead to the accumulation of disparate tools. To successfully manage such growth, these organizations must realize the requisite shift in corporate culture and workflow management needed to build trust in new technologies. This is particularly true in cases where enterprises are turning to automation and autonomic IT to offload the burden from IT professionals. This interplay between technology and culture is crucial in guiding teams using AIOps and observability solutions to proactively manage operations and transition toward a machine-driven IT ecosystem ...

Gartner identified the top data and analytics (D&A) trends for 2025 that are driving the emergence of a wide range of challenges, including organizational and human issues ...

Traditional network monitoring, while valuable, often falls short in providing the context needed to truly understand network behavior. This is where observability shines. In this blog, we'll compare and contrast traditional network monitoring and observability — highlighting the benefits of this evolving approach ...

A recent Rocket Software and Foundry study found that just 28% of organizations fully leverage their mainframe data, a concerning statistic given its critical role in powering AI models, predictive analytics, and informed decision-making ...

What kind of ROI is your organization seeing on its technology investments? If your answer is "it's complicated," you're not alone. According to a recent study conducted by Apptio ... there is a disconnect between enterprise technology spending and organizations' ability to measure the results ...

In today’s data and AI driven world, enterprises across industries are utilizing AI to invent new business models, reimagine business and achieve efficiency in operations. However, enterprises may face challenges like flawed or biased AI decisions, sensitive data breaches and rising regulatory risks ...

In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions.... 

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