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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

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...