Agentic AI and the Future of Science — A Conversation with Michael Bronstein and Nick Magnusson at Qlik Connect 2025

Event: Tech Field Day Experience at Qlik Connect 2025

Appearance: Tech Talks at Qlik Connect 2025

Company: Qlik

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Personnel: Michael Bronstein, Nick Magnuson, Stephen Foskett

At Qlik Connect 2025, Stephen Foskett interviewed Michael Bronstein, DeepMind Professor of Artificial Intelligence at the University of Oxford, and Nick Magnuson, Head of AI at Qlik, explored the transformative potential of agentic AI in science and enterprise. Bronstein highlighted how agentic AI may represent a seismic shift in the scientific method, moving beyond traditional roles in simulation and prediction to now participating in creative hypothesis generation—a realm historically reserved for human ingenuity. This evolution positions AI as not just a tool but a fellow innovator, potentially capable of reaching milestones like Nobel Prize-worthy contributions. While the impact in experimental sciences faces challenges due to the messiness of real-world labs, fields like mathematics and software development—where elements are inherently digital—might more quickly benefit from AI’s capabilities.

Magnuson elaborated on Qlik’s role in enabling agentic AI across industries through scalable analytics and data infrastructure. Qlik is actively working to address the complexity of querying massive data lakes, especially as AI systems demand broader, multimodal, and high-velocity datasets. This adaptation aligns with the shift towards machine-centric data generation and processing, emphasizing how data and AI models must evolve in tandem. Magnuson also noted that synthetic data is increasingly prevalent and necessary for training AI agents capable of exploring previously unapproachable scenarios at scale. Nonetheless, challenges connected with the trustworthiness and verification of such data remain critical.

The interview concluded with a discussion about the deeper implications of agentic AI creating new paradigms in both science and enterprise. Bronstein suggested that scientific data collection itself may need to evolve, moving towards formats interpretable by AI but potentially opaque to humans. Meanwhile, Qlik’s innovations aim to support this transition by developing infrastructure capable of handling such complex, varied, and massive-scale data input. As the use of agents grows, particularly in autonomous exploration and decision-making, enterprises must not only consider technical capabilities and applications but also ethical and regulatory implications. These developments advance the broader conversation about co-evolution between AI and scientific inquiry and reaffirm the necessity of continued, rigorous interdisciplinary collaboration.


Advancing Data Integration and Analytics with Sam Pierson and Ori Rafael of Qlik

Event: Tech Field Day Experience at Qlik Connect 2025

Appearance: Tech Talks at Qlik Connect 2025

Company: Qlik

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Personnel: Ori Rafael, Sam Pierson, Stephen Foskett

At Tech Field Day during Qlik Connect 2025, Stephen Foskett interviewed Sam Pierson, SVP of R&D for the Data Business Unit at Qlik, and Ori Rafael, former CEO and co-founder of Upsolver and now Senior Director of Engineering at Qlik, about the major announcement of Qlik’s Open Lakehouse. This new offering aims to bridge the gap between unstructured data lakes and the highly governed, structured world of data warehouses. Built on open standards like Apache Iceberg, the Open Lakehouse allows Qlik to deliver scalable, performant, and cost-efficient data management that makes data easier to access, transform, and analyze. As the industry sees a shift from mere data storage to true data usability across diverse environments, Qlik sets itself apart by embedding the openness and flexibility that enterprises now demand.

Ori provided valuable insight into how Upsolver’s technology is enhancing Qlik’s data ecosystem. Originally created to simplify Big Data workloads, Upsolver built a declarative, low-engineering approach to ingesting and managing massive datasets. With the integration into Qlik, the capabilities of Upsolver now power the Open Lakehouse, turning what was typically a data engineering bottleneck into a user-friendly and performant experience. Ori emphasized how Upsolver solves the “last mile” challenge in data lakes — turning raw, complex data into consumable assets without the overhead typically associated with Hadoop or similar systems. This evolution allows smaller datasets to be managed with the same agility, leading to a universal platform for beginners and advanced users alike.

Sam highlighted how Upsolver’s ingestion performance and native integration with technologies like Apache Iceberg align strongly with Qlik’s goals and existing offerings, such as the Qlik Talend Cloud. The acquisition has been particularly beneficial in scaling their data integration efforts, improving connectors—especially for more complex systems like SAP and mainframes—and supporting seamless interoperability with key cloud partners like AWS. This alignment of vision and strategy between the two companies has rapidly accelerated product development, with early access programs already in motion. Combining Qlik’s extensive analytics and AI tools with Upsolver’s robust ingestion engine offers a compelling package for customers seeking flexible, open, and high-performance data solutions.


Responsible and Inclusive AI Innovation in Analytics with Mary Kern and Rumman Chowdhury

Event: Tech Field Day Experience at Qlik Connect 2025

Appearance: Tech Talks at Qlik Connect 2025

Company: Qlik

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Personnel: Mary Kern, Rumman Chowdhury, Stephen Foskett

In this interview from Tech Field Day Experience at Qlik Connect 2025, Stephen Foskett interviews Mary Kern, VP of Analytics Go-To-Market at Qlik, and Rumman Chowdhury, CEO of Humane Intelligence and a Qlik AI Council member, about the state of AI in today’s analytics landscape. They discuss the paradoxes of 2025, where the rise of powerful centralized AI platforms coincides with a growing open-source movement, enabling wider global access. Rumman highlights the democratizing force of open-source AI, underscoring how inclusive engagement and grassroots participation are essential for future innovation. Mary adds that while AI promises efficiency and transformation, enterprises continue to grapple with responsible implementation and trust in these evolving technologies.

As both leaders emphasize, AI’s impact is most meaningful when it enhances accessibility, enabling users across varying skill levels and geographies to engage with analytics tools more intuitively. Language models acting as user interfaces make complex tools more approachable, especially for users without technical backgrounds or those with disabilities. By leveraging natural language processing and multi-language support, AI can elevate users’ performance and confidence in decision-making, making business intelligence more powerful and human-centric across cultures. Mary notes that the future of analytics isn’t about AI replacing humans but about enabling broader, better performance powered by data-driven insights.

The conversation also delves into the cultural nuances of AI deployment globally. Rumman raises concerns about bias in AI models when applied across different societies and languages. She explains the importance of culturally aware AI, citing her organization’s joint work with ASEAN to rigorously test models for multicultural bias. Mary reflects on how Qlik builds diverse perspectives into their development process, ensuring AI models are not only useful but trustworthy and aligned with enterprise needs. This intentional approach—with baked-in trust, bias monitoring, and global sensitivity—demonstrates Qlik’s commitment to responsible AI integration in analytics at scale.


Qlik Connect 2025 Delegate Roundtable on Agentic AI

Event: Tech Field Day Experience at Qlik Connect 2025

Appearance: Tech Field Day Delegate Roundtable at Qlik Connect 2025

Company: Qlik

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Personnel: Stephen Foskett

The Tech Field Day Delegate Roundtable at Qlik Connect 2025 brought together key thought leaders to discuss the rapid evolution and practical implications of agentic AI in the enterprise data ecosystem. With agentic AI emerging as a prominent theme for this year, delegates evaluated its current state, its impact on organizations, and Qlik’s approach to integrating AI-centric workflows into their platform.

Throughout the roundtable, panelists acknowledged that while agentic AI—AI-driven workflows composed of autonomous or semi-autonomous agents—has gained significant marketing traction, its implementation in production environments remains aspirational for most enterprises. They praised Qlik for its data-first approach, recognizing the company’s efforts to merge structured and unstructured data as a foundational step toward enabling more intelligent AI-based decisions. However, skepticism remained about the readiness of many organizations to deploy such systems, given the ongoing challenges with data quality, observability, and trustworthiness in AI outputs. The importance of foundational data governance and automation was emphasized, with clarity needed between traditional scripting, automation, and true AI-enabled agentic systems.

Delegates discussed the philosophical and technical nuances of what qualifies as agentic, highlighting that many current use cases are partially agentic at best, often relying on conventional automation or rules-based logic augmented by AI components. They advocated for a pragmatic view: while agentic AI is real and being pursued, the industrial-scale implementation still hinges on getting core data practices right: cleaning and organizing legacy systems, ensuring output trust, and creating frameworks that allow controlled evolution of AI agents. The group agreed that Qlik is moving the ecosystem in the right direction but stressed that success will depend on keeping expectations grounded and distinguishing aspirational demos from deployable solutions.


Tech Field Day Experience at Qlik Closing Summary

Event: Tech Field Day Experience at Qlik Connect 2025

Appearance: Qlik Presents at TFDx Qlik Connect 2025

Company: Qlik

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Personnel: Josh Good

In the closing session of the Tech Field Day Experience at Qlik Connect 2025, Josh Good recapped key highlights from the event, emphasizing Qlik’s strong partnership with AWS, which supports robust cloud adoption and integration. He detailed the company’s AI-driven capabilities—including Qlik Answers, Qlik Predict, and agentic AI functions—highlighting how these tools enhance analytics and usability. Josh also showcased Qlik’s embeddable technology and advances such as the Open Lakehouse architecture and new AI-ready features like multivariate time series analysis and AI-assisted table creation. He underscored Qlik’s commitment to supporting clients’ transitions to the cloud while maintaining flexibility based on individual needs.


Qlik Open Lakehouse Deep Dive

Event: Tech Field Day Experience at Qlik Connect 2025

Appearance: Qlik Presents at TFDx Qlik Connect 2025

Company: Qlik

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Personnel: Antoine Richard, Ori Rafael, Vijay Raja

In this session at Tech Field Day Experience at Qlik Connect 2025, Qlik unveiled and explored its new Qlik Open Lakehouse initiative, an outcome of the company’s acquisition of Upsolver. The presentation focused on the growing market adoption of Apache Iceberg, an open table format for data lakes, driven by its advantages in cost savings and interoperability. Ori Rafael highlighted the transition from traditional, tightly coupled data warehouses to decoupled data lakehouses using Iceberg. This shift enables enterprises to eliminate redundant warehouse storage costs by directly writing to cost-efficient object storage like Amazon S3. Furthermore, Iceberg allows customers to decouple compute from storage and use multiple analytics engines (like Snowflake for BI or Databricks for AI) on a unified data layer, enabling a truly open and flexible data architecture.

Qlik’s acquisition of Upsolver has enhanced its capabilities to deliver an enterprise-grade, high-performance lakehouse solution. The Qlik Open Lakehouse, now integrated into Qlik’s Talend Cloud platform, provides high-throughput ingestion, real-time processing, and automatic optimization of Iceberg tables. This includes features such as adaptive file compaction, dynamic partitioning, and efficient snapshot cleanup to keep storage lean and query performance high. Ori shared benchmarks demonstrating that Iceberg tables managed by Upsolver could achieve query performance nearly on par with native Snowflake storage, while offering as much as 2x improvement in storage efficiency over other Iceberg implementations. This level of performance addresses previous shortcomings of Hadoop-based data lakes and provides a practical, streamlined experience that doesn’t require specialized big data engineering expertise.

Antoine Richard and Vijay Raja elaborated on Qlik Open Lakehouse’s integration into Qlik Talend Cloud, detailing its core capabilities that support ingestion from hundreds of sources via batch or CDC, optimizer services tailored for Iceberg, and seamless mirroring into Snowflake without duplicating data. They outlined support for Iceberg catalogs like AWS Glue, Polaris, and Snowflake Open Catalog, enhancing query engine compatibility across platforms like Spark, Trino, and Dremio. The product roadmap includes enhancements like streaming ingestion, support for additional cloud providers, and advanced transformation tooling, reinforcing Qlik’s mission to provide an end-to-end data integration platform. A recorded demo concluded the session, illustrating how users can build data pipelines into Iceberg via Qlik Talend Cloud, view data in Athena or Snowflake, and perform seamless transformations, all while maintaining a familiar UI and minimizing the need for warehouse compute resources.


Qlik Embedded Analytics and AI Deep Dive

Event: Tech Field Day Experience at Qlik Connect 2025

Appearance: Qlik Presents at TFDx Qlik Connect 2025

Company: Qlik

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Personnel: Dave Channon, Luciane Ellis

In their session at Tech Field Day Experience during Qlik Connect 2025, Luciane Ellis and Dave Channon explored the transformative impact of embedded analytics and AI on business applications. Emphasizing the increasing demand for real-time insights directly within workflows, the presenters highlighted how businesses are evolving past isolated dashboards to meet the expectations of both technical and non-technical users. The focus is now on integrating intelligence seamlessly into everyday tools like CRM or supply chain platforms, allowing users to get instant, context-aware insights without shifting applications. These embedded capabilities are proving valuable for independent software vendors (ISVs), who can now offer AI-augmented features such as predictive analytics and natural language interaction, translating into operational efficiencies and premium offerings for end customers.

As part of this transformation, Qlik has developed a suite of technology to support modern embedded analytics. Their Qlik Embed framework provides lightweight, cookie-free web integration and supports major frontend technologies, allowing applications to scale flexibly across multi-tenant SaaS architectures. Features like generative and predictive AI are natively integrated, enabling ISVs to deliver intelligent, hands-off experiences that vary based on user roles and access levels. These capabilities are not just limited to desktop environments but are essential for mobile use cases, such as logistics or retail operations, where quick, in-context insights are crucial. Moreover, Qlik emphasizes governance, security, and real-time user personalization, which are critical for enterprises and ISVs looking to deploy scalable, secure solutions.

To demonstrate the power and scalability of Qlik’s embedded platform, Dave Channon showcased a fictional ISV demo, Smart Chain. This end-to-end demo illustrated how quickly an isolated customer tenant can be spun up with full analytics, self-service dashboards, and AI-driven experiences wrapped within a single application workflow. The process included automated provisioning of data, users, apps, and assistants—all using Qlik’s rich API ecosystem and automation tools. The embedded analytics included customizable views, predictive insights, report generation, and visual interactivity—all accessible to users of varying roles and technical expertise. This approach, which combines centralized ISV-driven models with end-user-specific tuning, demonstrates Qlik’s flexibility and strength in delivering intelligent, user-centric, and scalable analytics solutions.


Qlik AI Strategy Overview and Agentic AI Deep Dive

Event: Tech Field Day Experience at Qlik Connect 2025

Appearance: Qlik Presents at TFDx Qlik Connect 2025

Company: Qlik

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Personnel: Kyle Jourdan, Nick Magnuson

In this presentation from Tech Field Day Experience at Qlik Connect 2025, Qlik’s Nick Magnuson and Kyle Jourdan discuss Qlik’s strategic approach to artificial intelligence, focusing on integrating AI to solve real business problems with accuracy and trust. They explore how Qlik’s AI approach encompasses traditional predictive analytics, generative AI, and newer agentic AI paradigms—all within a unified, enterprise-grade ecosystem. The presentation emphasizes the evolution of Qlik’s AI capabilities, including the integration of structured and unstructured data within Qlik Answers, the expansion into autonomous agent actions, and the critical importance of customer-centric AI deployment.

In the session, Magnuson articulates Qlik’s AI philosophy, explaining how a pragmatic, use-case-first mindset underpins their strategy. Rather than blindly adopting large language models (LLMs) or generative AI for the sake of innovation, Qlik promotes applying the right form of AI—whether predictive, generative, or agentic—based on the specific business need. He shares concrete examples such as healthcare applications using predictive models to reduce patient no-shows and recover lost revenue, demonstrating how Qlik’s platform, bolstered by its acquisition of BigSquid and the resulting Qlik Predict, has delivered over a billion predictions. With Qlik Answers, initially a generative AI tool for unstructured data, now embracing agentic AI concepts, the platform can act autonomously on structured data, bridging the gap between conversational insights and actionable business operations.

The presentation continues with Jourdan providing a deep dive into the agentic evolution of Qlik Answers. He demonstrates how the system can handle natural queries, pull structured and unstructured data, generate visualizations, and take contextual actions such as sending messages or updating databases—all through a codeless, drag-and-drop interface. Advanced features such as explainability, AI trust scores, and the handling of lifecycle concerns like data governance and versioning are also discussed, emphasizing Qlik’s commitment to enterprise-grade standards. Moreover, Qlik’s neutral stance as an independent vendor provides flexibility for integration and multi-platform support, distinguishing it from hyperscalers with closed ecosystems. In closing, the session showcases upcoming tools like native time-series modeling and further automation integrations, reinforcing Qlik’s vision to empower users across technical skill levels to leverage the full power of AI responsibly and effectively.


AWS and Qlik Strategic Collaboration Overview

Event: Tech Field Day Experience at Qlik Connect 2025

Appearance: Qlik Presents at TFDx Qlik Connect 2025

Company: AWS, Qlik

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Personnel: Piyush Bothra, Wale Oladehin

In this presentation at the Tech Field Day Experience during Qlik Connect 2025, AWS and Qlik elaborated on their long-standing partnership and how it has evolved to support modern data workflows and advanced analytics. They emphasized their decade-long collaboration, focusing on helping customers drive digital transformation through scalable cloud infrastructure and sophisticated data analytics. Joint customer success stories were shared to illustrate how enterprises, such as Vanguard, are leveraging AWS and Qlik to modernize critical systems — including SAP and mainframes — to enable near real-time data insights and enhanced operational efficiency.

The session highlighted the integration between AWS’s comprehensive infrastructure and Qlik’s advanced data analytics capabilities, particularly emphasizing Qlik Answers — a generative AI-powered data assistant. Powered by AWS services like Amazon SageMaker and Amazon Bedrock, Qlik Answers enables users to interact with their data through contextual and explainable AI-generated responses. The system architecture involves embedding user queries into vector databases using models like Cohere, with re-ranking and inference handled by Bedrock leveraging Anthropic’s Claude model. This ecosystem supports both structured and unstructured data access while maintaining transparency and traceability of responses, ensuring enterprise-grade security, privacy, and explainability.

Throughout the discussion, the presenters underscored the importance of flexibility, managed services, and shared responsibility in building secure AI applications. AWS’s three-tiered generative AI stack — infrastructure, foundational models, and managed APIs — provides customers and ISVs like Qlik with the tools and services needed to rapidly innovate while maintaining control over customization and data governance. Managed services are increasingly preferred by businesses aiming for faster adoption without sacrificing compliance, security, or accuracy. With AWS deeply committed to privacy, sovereignty, and model performance, and Qlik offering data integration from legacy systems to modern AI applications, this partnership provides a highly scalable and secure ecosystem for advanced analytics and decision-making.


Qlik Connect 2025 Introduction

Event: Tech Field Day Experience at Qlik Connect 2025

Appearance: Qlik Presents at TFDx Qlik Connect 2025

Company: Qlik

Video Links:

Personnel: Josh Good

At Qlik Connect 2025, Josh Good opened the event by laying out Qlik’s strategic vision and market aspirations. He focused on how Qlik is actively shaping its future, particularly over multi-year horizons, through a combination of AI, analytics, and market positioning. The company aims not just to solve traditional business challenges but also to impact societal issues such as poverty and logistics with its data-centric technologies. Josh highlighted recent achievements including the launch of Qlik Answers and Qlik Cloud, the global AI Reality Tour, and the acquisition of Upsolver, all of which underscore Qlik’s commitment to innovation and broadening their reach.

Josh also explored the market trends driving Qlik’s roadmap, particularly around the emergence of AI agents, the discernment between AI hype and applied value, and the importance of authenticity in data. He discussed how Qlik plans to integrate AI agents more fully into their product suite to allow for faster action from analytics and lower the effort required by users to extract value. Their new capacity-based pricing model reflects a more flexible and comprehensive user experience, enabling organizations to derive more from the platform. Furthermore, Qlik is positioning itself as an end-to-end solution provider by uniting its acquired technologies (like Talend and Attunity) into a seamless ecosystem that appeals to users looking to simplify their modern data stack.

Looking ahead, Qlik is doubling down on agentic AI and exploring new frameworks for enabling fast, actionable insights. Josh emphasized a future with multi-agent architectures and AI readiness, where agents handle core workloads and fluidly cooperate, possibly across ecosystems via protocols like MCP or A2A. The strategy also includes seamless embedding of AI, both predictive and generative, into Qlik’s products so users experience AI’s benefits without needing to understand the technicalities. Ultimately, Qlik’s platform flexibility, partnerships (such as with AWS), robust ecosystem, and investment-backed growth signal a confident path toward becoming a foundational AI-powered analytics provider for tomorrow’s digital enterprises.


Futurum Research: The State of AI PCs

Event: Mobility Field Day 13

Appearance: Futurum Presents AI Devices Research at Mobility Field Day 13

Company: The Futurum Group

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Personnel: Ron Westfall

This presentation features recent findings from an in-depth study by Futurum Research on AI PCs and the results that point to a shift in the enterprise end user compute space. AI PCs contain dedicated neural processing units (NPUs) that help with GenAI, machine learning, and deep learning workloads. AI PCs use NPUs and GPUs together.

The study surveyed 852 enterprise decision makers globally. It found that AI PCs in the laptop form factor lead the market with nearly 70% market share. AI PCs enable hybrid AI with both local and cloud processing options. They reduce the dependency on cloud, especially for highly secure workloads. One of the biggest drivers for AI PC adoption is the pending end-of-life for Windows 10, with users looking to move to Windows 11 on new supported hardware that includes AI PC features.

AI PCs are key edge devices that provide high performance Wi-Fi 7 chipsets, low latency and great power efficiency, as well as enhanced security to prevent user exposure. There is also a growing inclusion of 5G-enabled connectivity on AI PC laptops, especially in sectors where security is paramount.

The presentation wraps with with a discussion of where AI PC technology is headed, such as the rise of agents AI, increased thermal management, and even the future of self diagnosing, self healing computers.


Juniper Location & Analytics: UWB, Dual BLE, PMA-Meeting/Security insights Marvis Client

Event: Mobility Field Day 13

Appearance: Juniper Networks Presents at Mobility Field Day 13

Company: Juniper Networks

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Personnel: Anilash Azeez

Explore the advancements in location services driven by Wi-Fi 7 technology, including ultra-wideband and dual BLE radios that improve indoor positioning. Discover various applications such as asset visibility and user engagement, and learn how machine learning enhances tracking and safety. The importance of contextual awareness in marketing and auto placement technology for accuracy is highlighted, along with telemetry data for IT management. Customer success stories showcase real-world benefits.


Juniper Access Assurance (NAC) – Client Onboarding, Always-On Posture, Built-in Profiling

Event: Mobility Field Day 13

Appearance: Juniper Networks Presents at Mobility Field Day 13

Company: Juniper Networks

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Personnel: Slava Dementyev

Access assurance and NAC enhance client onboarding for unmanaged clients to enterprise networks. Marvis client personas focus on an onboarding tool that provisions end user devices with certificates and profiles, ensuring network visibility. Customizable onboarding portals with SSO integration improve user authentication. The end user experience includes mobile and desktop onboarding, app installation, and SSO login. New BYOD support and cloud PKI for managed devices integrate with existing MDM solutions.


Juniper Wi-Fi 7/6GHz and learnings, Dual 5 GHz Dual 6 GHz and RRM

Event: Mobility Field Day 13

Appearance: Juniper Networks Presents at Mobility Field Day 13

Company: Juniper Networks

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Personnel: Wes Purvis

Wireless technology is advancing with Wi-Fi 6E and Wi-Fi 7. Currently, 50% of access points support 6 GHz, while Wi-Fi 7 client adoption is between 5-10%. Channel width affects user speeds, with a preference for 6 GHz, especially among Apple devices. Security features like WPA3 are mandated in Wi-Fi 7. The EU is planning future consultations, and understanding network behavior is key for effective capacity management.


Juniper Marvis Minis, LEM, GenAl/Customer Troubleshooting, and Marvis Actions 2.0

Event: Mobility Field Day 13

Appearance: Juniper Networks Presents at Mobility Field Day 13

Company: Juniper Networks

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Personnel: Bob Friday, Sudheer Matta

Marvis Minis is a new networking solution designed to tackle WiFi connectivity issues by acting as a synthetic user to monitor network services. It provides visibility from client applications to cloud services, helping identify application problems. The solution learns from global data to localize insights and offers auto-learning capabilities for network configurations. Additionally, it integrates with external sources and evolves towards automating problem resolution, enhancing user trust through effective actions.


Juniper Al-Native Network Platform: Momentum and New Developments

Event: Mobility Field Day 13

Appearance: Juniper Networks Presents at Mobility Field Day 13

Company: Juniper Networks

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Personnel: Sujai Hajela

Juniper Mist showcases its latest innovations at Mobility Field Day, highlighting impressive growth in campus and branch revenue. The company focuses on enhancing user experiences while minimizing trouble tickets. Key developments include the expansion of the Marvis data pipeline for predicting user experiences and the integration of AI-driven customer support. Future goals aim to improve Marvis’s response accuracy and promote automation in operations.


What’s Next for Celona – Bigger, Better, Faster Next-Gen RAN

Event: Mobility Field Day 13

Appearance: Celona Presents at Mobility Field Day 13

Company: Celona

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Personnel: Mehmet Yavuz

Mehmet shows how all these previous elements come together in our platform, and provides a glimpse into what to expect from Celona over the next year, including our next-generation RAN portfolio.

At Mobility Field Day 13, Celona introduced “Orion,” a major advancement in AI-based automation for private 5G networks. Orion is designed to oversee the entire network lifecycle, from deployment and configuration to ongoing operations and troubleshooting. Drawing on data from over 150 customer deployments, Celona is feeding real-world issue patterns and internal troubleshooting playbooks into Orion’s AI engine. This enables the platform to automatically detect network anomalies, conduct root cause analysis, and either recommend or autonomously implement remediation steps. Orion’s integration into the Celona Orchestrator, displayed as a Kanban-style interface, allows real-time tracking of issue resolution–shifting more tasks from human-led to machine-led.

The system handles a wide variety of scenarios, including interference issues, DHCP failures, SIM misconfigurations, and security anomalies like unauthorized device swaps. Orion evaluates network performance from multiple angles–device, access point, frequency–and flags relevant issues with contextual analysis and resolution pathways. Celona emphasizes that this automation isn’t a static product but a dynamic capability that will evolve to eventually include design (day -1), provisioning (day 0), and full operational (day N) automation. Feedback from early customers has been strong, and Orion already supports both private and enterprise network troubleshooting, integrating with external systems like ServiceNow for enhanced workflow automation.

Looking ahead, Mehmet Yavuz outlined Celona’s innovation pipeline, highlighting commercial readiness of the Azure-based architecture and a new, enterprise-friendly two-node high-availability Kubernetes model. The company is also investing in Zero Trust IT/OT security with enhanced features like Airlock and expanding its global footprint via partnerships with regional operators. A major focus is Celona’s next-generation RAN, which continues their all-in-one AP design philosophy with integrated 4G/5G modems and onboard compute for local breakout and edge processing. This new RAN promises higher bandwidth, 4×4 MIMO, improved timing precision, and simpler installation with features like internal GPS. Celona remains committed to delivering a plug-and-play private cellular solution that matches the simplicity of Wi-Fi while advancing enterprise-grade capabilities.


Celona Orchestrator with AI – Automated Service Management

Event: Mobility Field Day 13

Appearance: Celona Presents at Mobility Field Day 13

Company: Celona

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Personnel: Mark Jimenez, Puneet Shetty

Puneet delivers an overview and a demonstration of how Celona is applying AI to automate network operation tasks, from bringup to monitoring to troubleshooting and remediation.

Puneet Shetty and Mark Jimenez present how Celona is integrating AI into its Celona Orchestrator platform to automate network operations, from deployment to monitoring and troubleshooting. They demonstrate how a minimal private 5G LAN setup, consisting of an access point, connected devices, and cloud components—can be brought online with minimal infrastructure. The goal is to simplify deployment by eliminating the need for a local edge device and integrating core network functions directly into the access point. This design reduces friction and complexity, enabling rapid setup and data routing with local breakout capability, all managed through Celona Orchestrator.

During the live demonstration, two devices, a Zebra TC78 and an iPhone 16 Pro, are connected to the Celona access point to illustrate service provisioning and connectivity monitoring. The devices initially receive IP addresses from Celona’s default range, but the demo shows how Celona Orchestrator can dynamically change device profiles to integrate with enterprise DHCP services, providing corporate-assigned IPs. This local breakout approach means data traffic remains within the enterprise network, avoiding latency and privacy concerns associated with public cellular providers. The presenters also show system resiliency by temporarily disconnecting the WAN, demonstrating that the network quickly recovers with minimal disruption.

In discussing broader deployment implications, Shetty highlights how private 5G networks are gaining traction in industries like oil and gas, manufacturing, and logistics, particularly for outdoor environments or critical applications requiring high reliability. Celona has streamlined eSIM provisioning using MDM and APIs, allowing zero-touch deployments at scale, essential for managing hundreds or thousands of devices. The session also addresses spectrum availability worldwide, noting that while CBRS is unique to the US, similar enterprise-use spectrum bands are increasingly available globally. Celona’s strategy includes partnerships with operators to facilitate international deployments, and in the US, their use of the SAS system ensures reliable and coordinated spectrum usage even in dense industrial areas.


Celona New Edgeless Architecture – Streamline On-Premises Footprint for Scale

Event: Mobility Field Day 13

Appearance: Celona Presents at Mobility Field Day 13

Company: Celona

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Personnel: Mark Jimenez, Puneet Shetty

Puneet provides an overview of our next breakthrough in Private 5G design — the “Edgeless” architecture, and MJ delivers a killer demonstration.

In this Mobility Field Day 13 session, Puneet Shetty introduced Celona’s new “Edgeless” architecture, a significant evolution in private 5G deployment aimed at reducing complexity and hardware overhead for enterprise customers. Traditionally, private 5G setups required on-premises appliances to host core services, resulting in racks of hardware and a heavier deployment model. Celona had already simplified this with a centralized Edge appliance, but the team identified that even this created friction. The Edgeless architecture eliminates the need for that appliance by redistributing essential services directly onto the access points and into the cloud. Critical data path functions, including L2/L3 integration and firewall/NAC interfacing, remain on-site at the access point, while cloud-based services handle control plane and spectrum management.

MJ demonstrated the new deployment model live, showcasing a fully functioning private 5G network powered by nothing more than a single PoE++-powered Celona access point plugged into a standard Ethernet connection. The hardware was designed with sufficient processing power to handle the additional microservices now required locally. This controllerless model echoes the familiar evolution of enterprise Wi-Fi, which transitioned from centralized controllers to fully cloud-managed, autonomous access points. The goal is to offer the same level of simplicity and scalability to private cellular networks, enabling quick deployment without additional on-premises infrastructure.

Celona expects this architecture to be especially attractive to large distributed enterprises managing numerous sites, each requiring just a few access points for coverage. By eliminating the need for local appliances, the Edgeless model simplifies management, cuts deployment timelines, and reduces friction without compromising security or performance. While advanced use cases like high-speed mobility may still warrant appliance-based edge deployments, the new architecture significantly broadens Celona’s addressable market. It aligns private 5G with the ease of Wi-Fi, and early customer feedback suggests growing interest and adoption. As Shetty noted, many potential clients are already delaying POCs to wait for Edgeless availability, viewing it as the future of enterprise private wireless.


Celona Neutral Host – Reliable Performance in the Real World

Event: Mobility Field Day 13

Appearance: Celona Presents at Mobility Field Day 13

Company: Celona

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Personnel: Mehmet Yavuz, Vanlin Sathya

Mehmet and Vanlin present an overview of Celona Neutral Host, describe the benefits of a neutral host model, and demonstrate performance results at our Stanford Health Care deployment.

In this presentation, Celona CTO Mehmet Yavuz and Director of Research Vanlin Sathya outlined how Celona’s Neutral Host solution addresses the growing problem of poor indoor public cellular coverage, which is being exacerbated by higher-frequency 5G bands and energy-efficient building materials that block signals. Enterprises are increasingly dependent on consistent mobile connectivity for staff, customers, and critical applications like E911, making reliable indoor cellular essential. Celona’s solution now supports both T-Mobile and AT&T and features cloud-managed, dual 4G/5G access points (AP20) operating over CBRS, enabling rapid and cost-effective deployments without the complexity of traditional distributed antenna systems (DAS).

The speakers highlighted three main customer scenarios: new building projects, DAS replacement or upgrades, and buildings previously underserved due to cost or size. They emphasized how Celona’s turnkey model streamlines the onboarding process with operators and automates provisioning, helping customers go from interest to service activation within weeks. The system integrates with existing IT infrastructure, including switches, firewalls, and policy servers, while supporting a wide range of devices from smartphones to scanners and medical equipment. The healthcare sector, in particular, has become a strong use case, with deployments like Stanford Health Care demonstrating significant improvements in signal coverage and reliability compared to legacy DAS and Wi-Fi setups.

Through real-world deployment data and performance comparisons, the presentation demonstrated that Celona’s Neutral Host consistently outperforms macro signals, Wi-Fi, and DAS in terms of coverage, throughput, and voice quality, especially in loaded and mobile scenarios. In a live demo, Celona’s APs delivered reliable signal strength across hospital floors, elevators, and critical care areas, enabling seamless roaming and robust voice services. The synergy between neutral host capabilities and private 5G functions allows healthcare customers to solve immediate connectivity issues while laying the foundation for advanced applications like staff communications, patient monitoring, and IPTV, all without overloading the Wi-Fi network. This dual-purpose infrastructure is quickly proving to be a transformative investment for enterprise environments.


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