Business intelligence and analytics
Winner
- Plotly Dash Enterprise, Plotly
Finalists
- FICO Platform, FICO
- Plotly Dash Enterprise, Plotly
- Spotter, ThoughtSpot
From the winner
Dash Enterprise (DE) is an enterprise platform for creating customizable, interactive data applications in Python. Domain experts surface insights and take action through AI-powered development that transforms Python workflows into production apps instantly.
Python-native development builds on existing data science stacks while delivering true customization that creates exactly what stakeholders need, not generic dashboards. Enterprise controls provide built-in security, compliance, and governance, while self-service capabilities eliminate IT bottlenecks. Interactive design enables stakeholders to explore data rather than consume static reports. The transformation shifts teams from analytics support to strategic enablement.
From the judges
“Plotly Dash Enterprise stands out by turning Python workflows into secure, governed, interactive read/write data apps while retaining dev control. The platform is also able to provide contextual intelligence with domain-aware suggestions (across finance, healthcare, and telecom sectors).”
Cloud backup and disaster recovery
Winner
- United Private Cloud, UnitedLayer
Finalists
- Cayosoft Guardian Forest Recovery, Cayosoft
- CloudCasa, CloudCasa by Catalogic Software
- United Private Cloud, UnitedLayer
From the winner
United Private Cloud delivers cloud backup and disaster recovery through a layered, intelligent architecture. It integrates business continuity with high-availability architecture, performance, intelligence, hybrid colocation, and compliance for mission-critical workloads.
Workloads and data are continuously protected via four DR [disaster recovery] strategies. Real-time replication ensures that data is always protected in Tier 3+ data centers across 30+ private cloud regions and 175+ edge sites on five continents. Data is encrypted in transit and at rest.
UnitedLayer’s approach ensures rapid recovery, regulatory adherence, and seamless scaling — backed by repeated industry recognition and trusted by global enterprises for business continuity.
From the judges
“United Private Cloud guarantees zero downtime and minimal data loss through 99.999% high availability and real-time replication. This translates to measurable business value. A proactive, autonomous approach redefines disaster recovery by enabling predictive failure detection and instant restoration at scale.”
Cloud compliance & governance
Winner
Finalists
- Kion Platform, Kion
- Secureframe, Secureframe
From the winner
Secureframe is a comprehensive, AI-powered platform that helps organizations meet security and compliance requirements more efficiently and effectively. With out-of-the-box support for 40+ frameworks, Secureframe helps organizations streamline audits, reduce manual effort, and improve visibility into their security posture.
The Secureframe platform identifies gaps, collects evidence, generates tailored policies, completes risk assessments and access reviews, and monitors compliance progress in real time. Built-in automation handles control testing, validates evidence, recommends remediations, and accelerates questionnaire responses with the help of our proprietary Comply AI engine. Customers report a 26% average reduction in annual compliance costs and complete audits up to 90% faster.
From the judges
“Secureframe applies contextual AI and 300+ integrations to automate evidence validation, remediation, and monitoring across hybrid environments, turning compliance into an intelligent, end-to-end technology solution. Breakthrough capabilities like AI Evidence Validation, Workspaces, and Custom Integrations redefine compliance automation, outpacing competitors with foundational shifts rather than incremental features.”
Cloud cost management
Winner
Finalists
- Stacklet Jun0, Stacklet
- Tangoe One Cloud, Tangoe
- UnityOne AI, UnityOne AI
From the winner
Tangoe One Cloud is an enterprise-grade FinOps [financial operations] platform that unifies expense and asset management across public and private IaaS [infrastructure as a service], SaaS, and UCaaS [unified communications as a service] environments. Designed to align IT, finance, and procurement, Tangoe One Cloud centralizes governance, chargebacks, anomaly detection, and multi-cloud transparency into one scalable platform.
Tangoe’s “Cloud Optimizer” applies machine learning, predictive models, and historical usage data to identify savings opportunities and recommend the most cost-effective cloud infrastructure options. Automated workflows drive cost allocation, charge-backs, and remediation actions, eliminating manual reporting cycles. The platform also delivers real-time anomaly alerts and AI workload governance through a new AI Cost Visibility Dashboard.
From the judges
“This AI-driven, multi-cloud architecture is a highly scalable and technically robust FinOps solution. Tangoe One Cloud’s capabilities set it apart from competitors by enabling real-time governance of AI/ML spending, automated chargebacks, and actionable insights across diverse enterprise infrastructures.”
Cloud security
Winner
- Cortex Cloud, Palo Alto Networks
Finalists
- Aviatrix Cloud Native Security Fabric, Aviatrix
- Cortex Cloud, Palo Alto Networks
- Ivanti Neurons Platform, Ivanti
From the winner
Cortex Cloud rearchitected Palo Alto Networks’ cloud-native application protection platform (CNAPP) on the AI-driven Cortex SecOps platform to deliver a unified user experience with persona-driven dashboards and workflows.
Cortex Cloud identifies and prioritizes issues across the application development pipeline. The platform improves multi-cloud risk management with AI-powered prioritization, guided fixes, and automated remediation. Cortex Cloud natively integrates the unified Cortex XDR agent, enriched with additional cloud data sources, to prevent threats with advanced analytics. Cortex Cloud natively integrates cloud data, context, and workflows within Cortex XSIAM to significantly reduce the mean time to respond (MTTR) to modern threats with a single, unified secops solution.
From the judges
“Cortex Cloud is one of the strongest offerings in cloud security, because it unifies cloud detection and response with CNAPP capabilities on a single AI-driven platform, giving teams real-time, context-rich protection across code, runtime, and cloud environments. By eliminating silos, reducing MTTR, and continuously learning from incidents, Cortex Cloud sets a new standard for enterprise-to-cloud protection.”
Data management: Databases
Winner
Finalists
- Couchbase Capella, Couchbase
- EDB PostgresAI, EnterpriseDB
- Percona Everest, Percona
- Qdrant, Qdrant
From the winner
Qdrant is an open-source, dedicated vector search engine built for an era where over 90% of enterprise data is unstructured. It enables developers to build and support production-grade AI retrieval and vector search across any scale, modality, or deployment. Purpose-built in Rust for unmatched speed, memory safety, and scale, Qdrant delivers up to 40x faster retrieval and >4x higher throughput.
Qdrant is more than vector search: It gives AI agents grounded retrieval “memory” to plan, use tools, and act in real time. With Cloud Inference, hybrid search, and flexible reranking, teams build agentic workflows that stay relevant, responsive, and cost-efficient.
From the judges
“Qdrant is a powerful, technically advanced product that stands out in the highly competitive vector database space. Its deep support for agentic AI, multimodal search, and enterprise-scale deployments make it a foundational tool for the AI era.”
Data management: Governance
Winner
- Actian Data Intelligence Platform, Actian
Finalists
- Actian Data Intelligence Platform, Actian
- Pentaho Platform, Pentaho
- Transcend, Transcend
From the winner
The Actian Data Intelligence Platform centralizes all enterprise meta-data into a single source of truth, enabling effective discovery and utilization of data assets while ensuring regulatory compliance (GDPR, CCPA) and security controls. The cloud-native platform provides a searchable catalog of all data assets with automated metadata collection to ensure proper data documentation and context. Actian’s “governance by design” approach embeds governance into the DNA of every data interaction.
The platform’s innovative knowledge graph delivers deeper, more relevant search results by understanding complex relationships between concepts and entities, enabling faster data discovery, reduced regulatory compliance risk, and confident AI implementation.
From the judges
“The Actian Data Intelligence Platform addresses some of the most critical and persistent challenges in data governance with a highly modern, forward-looking approach. Actian’s platform is well architected and addresses real organizational pain points, including inconsistent data, a lack of trust in analytics, and growing compliance burdens.”
Data management: Integration
Winner
- SnapLogic Agentic Integration Platform, SnapLogic
Finalists
- Rocket DataEdge, Rocket Software
- SnapLogic Agentic Integration Platform, SnapLogic
- Merge, Merge
From the winner
SnapLogic is an all-in-one platform to create, integrate, and orchestrate data products, apps, APIs, and AI agents. Using a low-code, “click-not-code” interface and built-in genAI, SnapLogic empowers both IT and business users to automate workflows, transform data, and create intelligent agents that streamline operations — no matter where the data resides.
With natural-language prompts, anyone across the enterprise — from HR to Finance to Legal — can build IT-approved automations that eliminate repetitive tasks and deliver real business value. For example, legal teams can create IDP [intelligent document processing] agents to redline contracts, while finance teams can automate fraud detection workflows.
From the judges
“By embedding AI-powered agent creation directly into its integration fabric, SnapLogic transforms how enterprises operationalize genAI. With tools like Prompt Composer and Agent Visualizer, it delivers secure, enterprise-grade innovation well beyond traditional data movement platforms.”
Data management: Pipelines
Winner
Finalists
- Airbyte Open Source, Airbyte Cloud, Airbyte Enterprise, Airbyte Enterprise Flex, Airbyte
- DataPelago Accelerator for Spark, DataPelago
- Prophecy, Prophecy
From the winner
Prophecy uses AI agents, a visual canvas, and automatic code generation to help analysts and business experts of all skill levels access the data they need, whenever they need it. An LLM AI assistant for data pipeline creation is powered by a knowledge graph of data sets, schemas, models, and pipelines. The Visual Canvas enables anyone who needs data to build and refine pipelines, using drag-and-drop components for extraction, transformation, enrichment, aggregation, and loading.
Prophecy identifies errors and suggests how to fix them. Visual pipelines are automatically compiled into production-ready code with full Git versioning, documentation, CI/CD support, and lineage tracking.
From the judges
“Prophecy delivers a rare combination of technical depth, user-centric design, and enterprise-grade controls. Its intelligent use of AI assistants, visual editing, and code compilation makes it uniquely powerful, particularly in large organizations seeking secure, self-service analytics at scale. It transforms how data engineering is done.”
Data management: Security
Winner
Finalists
- Bedrock Platform, Bedrock Data
- QuProtect, QuSecure
- Sentra Data Security Platform, Sentra
From the winner
QuSecure’s QuProtect platform is a comprehensive suite of post-quantum cryptographic solutions designed to safeguard data across various platforms and applications. It includes quantum-resistant algorithms, cryptographic agility, key management systems, and secure communication protocols. QuProtect enables visibility into cryptography in use — a new level of insight.
QuProtect provides centralized control of quantum-resilient cryptography, which is ideal for managing and updating cryptographic protocols across the network. Post-quantum algorithms can be implemented and updated centrally, ensuring uniform security policies. QuProtect empowers security leaders with comprehensive visibility, adaptive cryptographic controls, and orchestrated protection to safeguard data against both traditional and emerging threats.
From the judges
“This is one of the most innovative products I have ever seen that offers quantum-resilient protection. It offers security without changing existing systems, which is a great feature to have. I can see this driving a lot of innovation in the cost-effective, post-quantum security of applications for enterprises.”
Data management: Streaming
Winner
Confluent Cloud, Confluent
Finalists
- Confluent Cloud, Confluent
- Hydrolix, Hydrolix
- Lenses, Lenses.io
From the winner
Confluent Cloud offers a fully managed cloud-native data streaming platform, built and operated by the creators of Apache Kafka. This platform empowers teams to easily connect, process, and govern real-time data without the operational burden associated with open source solutions. The result is [shorter] time to insight, lower infrastructure costs, and the ability to build data-driven applications at scale.
On top of trusted features like Confluent Cloud for Apache Flink and Stream Governance, Confluent has introduced capabilities over the past year to unify streaming and batch data processing on a single serverless platform. Confluent Cloud features battle-tested security, compliance, and 99.99% uptime.
From the judges
“Confluent Cloud extends Kafka and Flink into a managed serverless platform that unifies streaming and batch, simplifying real-time data use for AI and analytics. Its innovations — Tableflow, Flink Native Inference, and Flink Search — move streaming closer to enterprise AI workflows, while strong uptime and governance features deliver reliability at scale.”
Devops: Analytics
Winner
- Azul Intelligence Cloud, Azul
Finalist
- Azul Intelligence Cloud, Azul
From the winner
Azul Intelligence Cloud provides actionable intelligence from production Java runtime data that dramatically boosts devops productivity. It supports any OpenJDK-based JVM (Java Virtual Machine) from any vendor or distribution. It consists of three services: Azul Code Inventory, the only solution that precisely catalogs what code runs in production across all Java workloads to accurately identify unused and dead code for removal; Azul JVM Inventory, which uses actionable intelligence available only at run time to continuously catalog running JVMs to help ensure ongoing Oracle license compliance; and Azul Vulnerability Detection, which uses Java class-level production runtime data to detect known security vulnerabilities.
From the judges
“Azul Intelligence Cloud delivers strong impact for Java-heavy organizations. Its class-level runtime approach is more precise than traditional SCA [software composition analysis] tools and yields measurable productivity gains. Overall, a differentiated and timely solution with high relevance for devops productivity.”
Devops: Automation
Winner
Finalists
- Ciroos AI SRE Teammate, Ciroos
- Nutanix Database Service, Nutanix
- Chef, Progress
From the winner
Progress Chef addresses the full spectrum of devops and devsecops, using a single “as code” framework to configure, deploy, and manage virtually any asset on any cloud to any edge, including support for any infrastructure or application, including cloud-native assets like Kubernetes and public cloud services.
Using this framework, the Chef portfolio can help organizations streamline their continuous compliance posture and secure infrastructure support on-premises or in the cloud. Our Policy as Code approach brings configuration management, application delivery, security policy enforcement, and compliance into a single step, eliminating the security silo and moving everyone into a shared pipeline and framework.
From the judges
“Chef has earned its place at the forefront of the devops and devsecops fields. It brings innovative automation, robust security features, and scalability that address the challenges faced by modern organizations, especially in hybrid and multi-cloud environments.”
Devops: CI/CD
Winner
- Buildkite Platform, Buildkite
Finalists
- Buildkite Platform, Buildkite
- CircleCI, CircleCI
- CloudBees Unify, CloudBees
- Harness CI/CD, Harness
From the winner
As the volume, speed, and unpredictability of code creation accelerate with LLM-assisted development, traditional CI/CD pipelines can no longer keep up. Buildkite’s Model Context Protocol (MCP) Server enables real-time, adaptive automation, reducing build times by allowing models to optimize execution order and parallelism while supporting real-time adaptation, failure recovery, dynamic resource allocation, and context-driven decision-making.
Unlike other MCP implementations that wrap APIs or provide prebuild insights, Buildkite’s MCP Server operates inside the pipeline context, turning scripted workflows into dynamic, self-optimizing systems. It acts as a conversational protocol between LLMs and the Buildkite platform, using more than a decade of operational context.
From the judges
“Buildkite brings cutting-edge technology to CI/CD, drives significant business benefits for organizations, and demonstrates true innovation in the space. It’s a powerful tool that not only addresses current challenges but is well positioned to define the next wave of software delivery as AI becomes an increasingly integral part of development workflows.”
Devops: Code quality
Winner
Finalists
- Graphite, Graphite
- Moderne, Moderne
- SmartBear AI, SmartBear
- SonarQube, Sonar
From the winner
SonarQube is an automated code review platform that helps developers deliver high-quality, secure code. It integrates into the CI/CD pipeline on devops platforms for automated, continuous code inspections. Deployable on-prem or in the cloud, it scans repositories for bugs, vulnerabilities, and code quality issues. Seamless integration into IDEs, via SonarQube for IDE, ensures quality and security at the start of development.
SonarQube’s quality gate alerts in real time when there’s something to fix or review in changed or added code, offering real-time guidance. The AI CodeFix feature takes this a step further, leveraging LLMs to automatically generate AI-driven code fixes for discovered issues.
From the judges
“SonarQube’s developer-first approach integrates seamlessly into CI/CD and IDEs, ensuring issues are caught early — before they become costly. The AI CodeFix feature goes beyond detection, offering intelligent one-click fixes. With industry-wide adoption and proven ROI, SonarQube not only supports but elevates modern software development in the age of AI-assisted coding.”
Devops: Observability
Winner
Finalists
- DataBahn, DataBahn
- Grafana Cloud, Grafana Labs
- Honeycomb.io, Honeycomb
- Observo AI, Observo AI
From the winner
Observo AI is an AI-powered data pipeline that transforms how enterprises manage security and observability. It analyzes telemetry data from security and devops tools, using machine learning and agentic AI to flag anomalies; detect privacy risks; perform data transformations; and strip irrelevant data from cloud flow, firewall, operating system, CDN [content delivery network], and application logs.
What sets Observo AI apart is its flexible, non-scripted automation. Instead of asking users to manually write and maintain thousands of inflexible rules, Observo’s ML models automatically detect schemas, summarize normal events, and enrich data with contextual intelligence.
From the judges
“Observo AI addresses one of the hardest problems in security by moving beyond brittle rule-based pipelines to adaptive machine learning and agentic automation. It redefines how telemetry pipelines are built and managed, putting it ahead of competitors that are still bound by static rules.”
Devops: Productivity
Winner
Finalists
- Flow, Appfire
- Cortex Internal Developer Portal, Cortex
- Harness Internal Developer Portal, Harness
From the winner
Appfire Flow is redefining how modern engineering organizations elevate code quality and team performance. As a core component of Appfire’s Software Engineering Intelligence (SEI) platform, Flow helps teams move beyond intuition and manual analysis by delivering real-time insights across the development life cycle. By unifying Git and ticket data from tools like GitHub, GitLab, and Jira, Flow gives teams a clear, objective understanding of where bottlenecks occur, how code review processes are functioning, and how collaboration impacts the quality and veloci- ty of software delivery.
By translating complex engineering data into clear, research-backed insights, Flow makes software delivery understandable and actionable for everyone, from engineers to product leaders to executives.
From the judges
“Flow bridges the gap between engineering work and business outcomes. Its combination of developer empathy, innovation, and actionable insights makes it stand out from legacy tools and rigid DORA [DevOps Research and Assessment]–only dashboards.”
Software development: Platforms
Winner
- Azul Platform Prime, Azul
Finalists
- Azul Platform Prime, Azul
- Uno Platform, Uno Platform
- 1NCE OS, 1NCE
From the winner
Azul Platform Prime is a high-performance Java platform that provides superior speed, startup and warmup, and consistency vs. other OpenJDK distributions to increase responsiveness, reduce cloud compute costs by 20%+, and boost operational efficiency — all without recompiling or changing application code.
With Platform Prime, companies can reduce cloud waste and improve application performance. It works across the most popular Java long-term releases: Java 8, 11, 17, and 21+. It is ideal for demanding, business-critical applications, including those used for massive data sets in distributed data processing.
From the judges
“Runtime-level improvements without application changes are compelling and reduce adoption friction. The cost-savings angle is strong: fewer servers, higher CPU thresholds, and better autoscaling leads directly to opex reduction in cloud spend.”
Software development: Security
Winner
- Chainguard Containers, Chainguard
Finalists
- Chainguard Containers, Chainguard
- SonarQube Advanced Security, Sonar
From the winner
Chainguard Containers is a curated catalog of over 1,500 minimal, vulnerability-free container images that have a reduced attack surface, broad customization capabilities, and improved supply chain integrity for containerized applications. By providing trusted open source software (OSS), built from source and updated continuously, Chainguard helps organizations eliminate threats in their software supply chains.
Chainguard Containers reduces the cost of engineering toil that comes with patching software and strengthens an organization’s security posture by ensuring [that the organization always has] the latest version of the software in production.
From the judges
“Chainguard Containers represents a step-change in how organizations consume open source software by moving from reactive vulnerability scanning to proactively delivering zero-CVE [common vulnerabilities and exposures] images built and maintained continuously. This product is a redefinition of supply chain security, setting a new benchmark for the industry.”
Software development: Testing
Winner
- CloudBees Smart Tests, CloudBees
Finalists
- CloudBees Smart Tests, CloudBees
- Sauce Labs Platform for Test, Sauce Labs
- Harness AI Test Automation, Harness
From the winner
CloudBees Smart Tests is an AI-powered intelligent testing solution built to support enterprise dev-test workloads. It reduces cycle times, improves triage accuracy, and enhances visibility into test behavior across teams.
CloudBees Smart Tests enables faster dev-test iteration with an analytics engine that flags flaky, long-running, and reliable tests, giving both engineers and leaders a shared view of test performance. Predictive Test Selection (PTS) finds failures 40% to 90% faster by running only the most relevant tests. It also offers accelerated test failure resolution through smart classification, pattern detection, and unified session insights, plus automated alerts that keep code owners informed and engaged.
From the judges
“CloudBees Smart Tests reimagines enterprise testing by applying ML to prioritize only the tests that matter, eliminating waste and accelerating feedback loops. Its innovation lies in combining predictive selection with easy integration, turning testing from a bottleneck into a driver of speed, quality, and confidence.”
Winner
Finalists
- Progress Telerik & Progress Kendo UI, Progress Software
- Tabnine, Tabnine
- Warp Agentic Development Environment, Warp
From the winner
Tabnine is the only AI coding assistant purpose-built for enterprise teams with complex codebases, mixed tech stacks, and strict security and compliance requirements. Whether deployed as SaaS, VPC [virtual private cloud], on-prem, or fully air-gapped, Tabnine provides full control over the environment — no outbound connections, no telemetry, no silent updates.
With deep integrations across Git and other SCMs [source code managers], IDEs, and tools like Jira and Confluence, Tabnine understands the entire organizational context, helping teams write, test, document, review, and maintain code faster and more consistently while following teams’ internal standards and compliance rules.
From the judges
“Tabnine is technically strong, enterprise-focused, and full of meaningful differentiators. Its commitment to secure, offline, and customized AI coding assistance gives it an edge in regulated industries. The product clearly aligns with market needs and shows a credible track record of impact.”
About our judges
Ashutosh Datar is a seasoned technology leader specializing in distributed systems, scalable API infrastructure, and intelligent storage. With more than 20 years of experience at companies such as Pure Storage, Hewlett Packard Enterprise, and Nimble Storage, he has led the design of next-generation systems that power large-scale storage and data platforms. At Pure Storage, Datar plays a key role in advancing the Fusion platform — an intelligent, policy-driven infrastructure that unifies storage management across heterogeneous systems.
Anshul Gandhi is an AI and product leader with a track record of building 0→1 systems and scaling 1→N AI platforms across enterprise, consumer, and go-to-market domains. His work bridges cutting-edge research and real-world applications, translating AI innovation into products that deliver exceptional user experiences and measurable business impact. He has led AI strategy and platform initiatives across sectors including healthcare, SaaS, manufacturing, and cybersecurity and holds multiple patents in applied AI.
Sahil Gandhi is a senior data scientist at Amazon and a product-minded AI leader with over a decade of experience in analytics, experimentation, and applied machine learning. He specializes in building and scaling AI-powered data products, including AI agents, RAG-based systems, and enterprise analytics platforms that drive smarter decisions and measurable business growth. He also serves as an Advisory Council Member at Products That Count, contributing to industry leadership and best practices.
Stan Gibson is an award-winning editor, writer, and speaker with 41 years’ experience covering information technology. Formerly executive editor of eWEEK and PC Week and senior editor at Computerworld, he is currently an adjunct analyst at IDC. As principal of Stan Gibson Communications, he writes for many websites, including CIO.com, and is a popular host for online events.
Arun Krishnakumar is a seasoned leader in e-commerce product strategy; digital transformation; and emerging technologies such as AI, machine learning, and blockchain. An author, startup mentor, and master class instructor, Krishnakumar has built and scaled cloud-based web and mobile platforms that serve millions of users. His experience spans customer acquisition and retention, conversion optimization, and sustainable growth, delivering impactful products for multibillion-dollar international brands.
Gaurav Mittal is a software engineer and seasoned IT manager adept at guiding teams in developing and deploying cutting-edge technology solutions. He specializes in implementing innovative automation solutions that unlock substantial cost savings and enhance operational efficiency.
Shipra Mittal is an accomplished IT professional with more than a decade of experience in software engineering, data quality, and analytics. She has advanced from leading client-focused software projects to building and guiding QA and data teams and now focuses on transforming data into actionable insights that enhance business performance. Recognized for her strong technical foundation and commitment to continuous learning, Mittal brings deep expertise in data validation, quality assurance, and analytics innovation to her role as a judge.
Priyank Naik is a principal engineer with more than 20 years of experience in the financial industry, specializing in building complex, real-time distributed, cloud-enabled systems for front-office operations, risk management, and fixed income research. In his current position, he is also involved in integrating genAI for automating financial reporting and forecasting cash flows.
Peter Nichol is a data and analytics leader for North America at Nestlé Health Science. He is a four-time author and an MIT Sloan and Yale School of Management speaker dedicated to helping organizations connect strategy to execution to maximize performance. His career has focused on driving and quantifying business value by championing disruptive technologies such as data analytics, blockchain, data science, and artificial intelligence. He has contributed to CIO.com and has been recognized for digital innovation by CIO 100, MIT Sloan, the BRM Institute, Computerworld, and PMI.
Anton Novikau is a seasoned software development leader with nine years of experience spearheading innovative technology solutions. As head of mobile development at Talaera, an EdTech start-up, Novikau drives the technical vision and execution of transformative learning experiences while pioneering AI integration across the company’s product suite. His expertise spans full-stack development, cloud architecture, and leveraging artificial intelligence to enhance educational outcomes.
Rahul Patil, hailing from the vibrant city of New York, is a seasoned professional in the tech industry with 18 years of extensive experience. Currently working at a hedge fund, he has honed his skills in back-end development with a particular focus on Java. His deep passion for technology drives him to constantly explore and utilize cloud-native services such as AWS and GCP.
Kautilya Prasad is a distinguished expert in software development, specializing in digital experience platforms and artificial intelligence. With more than 18 years of experience driving digital transformation for numerous Fortune 500 clients, Prasad excels at integrating artificial intelligence, digital experience, and data analytics to deliver innovative solutions that elevate customer engagement. He is an active contributor to the technology community, participating in peer reviews and shaping discussions on emerging technologies.
Shafeeq Ur Rahaman is an accomplished leader and researcher in data analytics and digital infrastructure, with over a decade of experience developing transformative, data-driven solutions that drive business performance. As the associate director of analytics and data infrastructure at Monks, he leads global initiatives in data pipeline automation, cloud architecture, and advanced analytics, including the design of mixed media marketing models to optimize campaign effectiveness.
Ramprakash Ramamoorthy leads the AI efforts for Zoho Corporation. He has been instrumental in setting up Zoho’s AI platform from scratch. He comes with a rich 12-plus years of experience in building AI for the enterprises at Zoho. The AI platform currently serves over a billion requests a day and is growing strong. Ramamoorthy is a passionate leader with a level-headed approach to emerging technologies and is a sought-after speaker at tech conferences.
Monika Rathor is a lead application engineer at Level Home, where she is building smart home solutions with smart access, automation, and building intelligence solutions that improve apartment living and management in the most impactful, cost-effective way possible. She is also a performance improvement enthusiast, driven to achieving optimizations like cutting latency from 200ms to just 50ms. Monika also loves mentoring her team, helping them grow and learn.
Isaac Sacolick is a lifelong technologist who has served in CTO and CIO roles and the founder of StarCIO, a digital transformation leadership, learning, and advisory company. He is a writer and keynote speaker and the author of the Amazon bestseller Driving Digital, a playbook for leading digital transformation, and Digital Trailblazer, a career guide for technology and business professionals. Recognized as a top digital influencer, Sacolick is a frequent contributor to InfoWorld and CIO.com.
Scott Schober is the president and CEO of Berkeley Varitronics Systems, a 54-year-old New Jersey–based provider of advanced, world-class wireless test and security solutions. He is the author of three best-selling security books: Hacked Again, Cybersecurity is Everybody’s Business, and Senior Cyber. Schober is a highly sought-after author and expert for live security events, media appearances, and commentary on the topics of ransomware, wireless threats, drone surveillance and hacking, cybersecurity for consumers, and small business.
Kumar Srivastava is a seasoned technology executive and entrepreneur with more than two decades of experience in building and scaling AI-driven platforms across consumer packaged goods (CPG), retail, cybersecurity, supply chain, and digital transformation. Currently serving as chief technology officer at Turing Labs, Inc., he leads the development of the industry’s most advanced AI formulation platform, helping the world’s largest CPG companies accelerate innovation, optimize costs, and bring products to market faster with scientific precision.
