The expanded Agent Fabric platform introduces new AI-native capabilities designed to help enterprises govern autonomous digital interactions, simplify AI-driven modernization, and deploy across cloud, hybrid, and sovereign environments with greater flexibility.

“The enterprise challenge today is not simply building AI agents. It is operationalizing them responsibly at scale,” said Dr. Sanjiva Weerawarana, founder and chief executive officer of WSO2. “Organizations need infrastructure that enables them to securely govern, deploy, and scale autonomous digital interactions across the enterprise. That is the role we believe WSO2 is uniquely positioned to play.”

Trusted AI governance

WSO2 unveiled ThunderID, an open-source IAM stack for the modern era, built for agents, ready for quantum, and open by design. Originally started at WSO2, the ThunderID project will be contributed to the OpenWallet Foundation (OWF). ThunderID is a new Go-based identity runtime purpose-built for AI agents, applications, and integrated with decentralized identity. Designed with a cloud-native, GitOps-driven architecture, it enables developers to build modern, customizable authentication and authorization experiences for the next generation of digital infrastructure. ThunderID will also be post-quantum cryptography (PQC) ready, helping enterprises and governments prepare for next-generation cryptographic threats and long-term security requirements.

“We are thrilled to welcome WSO2’s ThunderID project to the OpenWallet Foundation. WSO2 is a major contributor to open source software, and this contribution marks a significant milestone in advancing interoperable digital public infrastructure,” said Daniel Goldscheider, Founder and Executive Director, OWF.

The WSO2 Identity Platform also advances its identity and access management capabilities for autonomous agents, complex B2B ecosystems, and decentralized identity models. New capabilities include delegated access, asynchronous authentication, and enhanced identity management for non-human entities, enabling secure interaction between humans, systems, and AI agents.

WSO2 expanded its WSO2 API Platform to support AI-native workloads, enabling organizations to securely expose, govern, and monetize APIs, AI services, models, prompts, and agent-accessible digital assets. New capabilities in policy enforcement, AI-aware governance, and cost visibility help enterprises prepare for agent-driven consumption while maintaining operational control.

Building on the recent beta launch of WSO2 Agent Manager, an open control plane for AI agents, WSO2 announced a partnership with LTM to support enterprise implementation, AI transformation, and agentic modernization initiatives.

“As enterprises rethink their digital foundations for the AI era, the ability to securely orchestrate applications, APIs, data, and autonomous agents becomes critical,” said Vinay Hegde, Global Practice Head – Agentic, Integration and Orchestration at LTM. “Together with WSO2, we are helping customers accelerate modernization and AI adoption with the governance, scalability, and operational resilience required for the next generation of enterprise systems,” he added.

AI-driven enterprise modernization

WSO2 introduced new AI-ready operational capabilities aimed at simplifying the configuration and governance of applications, APIs, identities, integrations, and agents. Built on declarative configuration, these capabilities enable GitOps-driven delivery and AIOps automation, helping organizations to modernize faster while reducing operational complexity.  

The company announced WSO2 Integrator 5.0, a major evolution of its integration platform that unifies integration capabilities into a single AI-augmented environment. The release includes conversational development, agent-assisted automation, and enhanced observability for GenAI workloads, helping enterprises reduce integration complexity and accelerate delivery of AI-native applications.

To help enterprises bridge the gap between AI experimentation and production deployment, WSO2 unveiled Forward Deployed Engineering (FDE), a new embedded engineering and advisory model designed to accelerate implementation of agentic architectures in complex enterprise environments.

Working directly with strategic customers, WSO2’s Forward Deployed Engineers combine expertise across API management, integration, identity, and AI systems to help organizations translate business requirements into production-grade agentic applications, APIs, and integrations. The model is designed to accelerate enterprise adoption while reducing implementation complexity across security, governance, interoperability, and operational architecture

Digital resilience: flexible deployment and open source

To further support enterprise adoption, WSO2 introduced flexible deployment environments enabling organizations to run WSO2 platforms across SaaS, private cloud, public cloud, hybrid, and on-premises environments with greater operational flexibility and consistency. The capability helps enterprises align AI and digital infrastructure deployments with evolving regulatory, sovereignty, cost, and operational requirements.

Together with the general availability of WSO2 Developer Platform for OpenChoreo 1.1, enterprises now have a unified foundation to build, deploy, and operate modern digital services and autonomous systems. Now a Cloud Native Computing Foundation (CNCF) Sandbox project, OpenChoreo reinforces WSO2’s commitment to open, vendor-neutral infrastructure for cloud-native and AI-driven systems. In April, SUSE and WSO2 partnered to launch an AI-Native Platform Engineering Stack combining SUSE Rancher Prime with OpenChoreo to simplify the secure development and operation of AI-native applications and autonomous agents.

“Enterprises have won the Kubernetes infrastructure battle, but the developer experience gap remains. By uniting SUSE Rancher Prime with the WSO2 Developer Platform for OpenChoreo, we’re delivering a production-ready, AI-native paved path from Day 1, for both human developers and AI agents, without sacrificing governance, security, or choice,” said Steve Hale, Senior Director – Global ISV Ecosystem Partners at SUSE.

Earlier this year, WSO2 also announced a strategic collaboration with the International Institute of Information Technology Bangalore (IIIT-B), through the MOSIP initiative, to advance the open-source eSignet platform and strengthen global digital identity infrastructure based on ThunderID.

Ecosystem and cloud momentum

To accelerate modernization, WSO2 has strengthened collaborations across major cloud ecosystems, including achieving ISV Accelerate status with Amazon Web Services and Cloud Solution Designation for Financial Services with Microsoft.

WSO2 was recently accepted into the AWS ISV Accelerate program, a global co-sell initiative for AWS Partners with software solutions running on or integrated with AWS. WSO2 Solutions are also available through AWS Marketplace, helping customers simplify procurement and accelerate adoption across cloud modernization and AI initiatives on AWS. This milestone strengthens WSO2’s go-to-market collaboration with AWS, enabling joint customer engagements and co-sell motions that drive faster time-to-value for enterprises modernizing their integration, identity, and API management workloads on AWS. With ISV Accelerate benefits and Marketplace availability combined, WSO2 is well-positioned to scale its cloud-native solutions alongside AWS sellers to meet growing customer demand.

For more details on WSO2’s latest platform releases:

• WSO2 Developer Platform for OpenChoreo 1.1
• WSO2 API Manager 4.7
• WSO2 Agent Manager Beta
• WSO2 Integrator 5.0
• WSO2 Identity Server 7.3

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Built on a powerful idea that a single mobile number can reveal the full picture, DeepSight simplifies verification like never before. With just one input, organizations can instantly understand who they’re dealing with. By unifying identity, business, financial, locational, and telecom data into a single intelligent layer, it helps organizations reduce fraud risk and accelerate onboarding.

With smart analytics, companies can move beyond basic Know Your Customer (KYC) processes to a more insightful Understand Your Customer (UYC) approach.

“Verification shouldn’t be slow or fragmented,” said Vineet Bansal, Co-founder & COO, OnGrid “With just a mobile number, businesses can access a complete, contextual view of their users, including personal identity and PAN to banking and telecom signals, enabling faster onboarding, reducing risks, and helping teams truly understand their customers. It’s not just about data; it’s about actionable intelligence.”

DeepSight transforms scattered information into a 360° trust profile, providing enterprises with instant clarity on their users. Teams can access identity, PAN & taxpayer profile, employment history, business registration, banking, and telecom information, all through a single mobile number and unified system. This integration allows verification to be faster, simpler, and more reliable across industries such as banking, fintech, IT, and gig platforms.

“Our goal was to move beyond traditional KYC and deliver actionable insights,” said Vaibhav Yadav, Head of Product, Gridlines. “By unifying diverse data points into one intelligent, contextual layer, and making it all accessible through a mobile number, DeepSight turns information into intelligence, helping enterprises make smarter, safer decisions while providing a seamless onboarding experience for their customers.”

From mobile to everything, the platform provides organizations with a complete, actionable view of their users, combining critical signals across identity, financial, business, and telecom data. This enables faster onboarding, smarter decision-making, and proactive risk reduction, while setting a new benchmark for trust and reliability in verification.

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Early client deployments of the platform are demonstrating up to 60% efficiency gains, 50% reduction in incident resolution time, and measurable margin improvements

BENGALURU: Mphasis (BSE: 526299; NSE: MPHASIS), an Information Technology (IT) solutions provider specializing in cloud and cognitive services, announced the launch of Mphasis NeoIP, a breakthrough Artificial Intelligence (AI) platform, integrating multiple Mphasis.ai innovative solutions, designed for continuous enterprise transformation and differentiating competitive advantage. The platform perpetually rewires core systems, turning enterprise knowledge across legacy systems, data, and operations, driving intelligent engineering.  At the core ofNeoIP is this living–breathing layer of connected enterprise understanding that unifies data, systems, and processes to proactively optimize, modernize, and transform business and IT operations.

NeoIP enables organizations to continuously evolve, rather than through one-time transformation programs, by making enterprise knowledge machine understandable.  NeoIP automates complex decisions, predicts and prevents issues before they occur, and drives sustained innovation. It empowers CIOs and business leaders to shift left, embedding intelligence early in the software and operations lifecycle to create self-healing, resource-efficient systems that learn and improve over time. In addition, it integrates evergreen business intelligence with AI-assisted implementation, fostering continuous learning and evolution with every subsequent initiative. The platform creates a connected, data-centric environment where AI and human teams collaborate to plan, build, and manage transformation.

“Traditional enterprise transformation often fails to deliver value and requires ongoing reinvestment to keep pace with AI’s rapid evolution. NeoIP redefines the model. NeoIP brings together Mphasis-built AI solutions, partner technologies, and client assets into a single platform that supports multiple data sources, large and small language models, and computing environments. It represents the future of enterprise tech, which is intelligent by design, secure by default, and scalable by nature,” said Nitin Rakesh, Chief Executive Officer and Managing Director, Mphasis.

A key component of NeoIPis Ontosphere, which, in collaboration with various AI Agents, constructs and sustains the intelligence through dynamic knowledge graphs using enterprise domain context. Together, these capabilities form a foundation for contextual insights, autonomous actions, and intelligent orchestration. Ontosphere ensures AI-driven transformation is fast, accurate, and strategically aligned with long-term business goals.

NeoIP includes solutions grouped under four categories, namely: Modernization, Application Development, ITOps & BusinessOps. These capabilities are delivered via specialized AI Agents and frameworks:

Agent & Frameworks	Category	Function
Mphasis NeoCrux	Modernization, App Development	Orchestrates AI-driven code generation and quality automation.
Mphasis NeoZeta	Modernization	Agent, model, and knowledge operations management system
Mphasis NeoSaba	Application Development	Provides agile AI agents for quality-driven product definition and user story elaboration.
Mphasis NeoRigal	Governance	AI Agent for planning, building, and orchestrating various AI components, and provides AI governance
Mphasis AIOps	ITOps	Features capabilities for integrated operations, including proactive incident prediction, root-cause analysis, and self-healing automation based on deep system observability.
Mphasis NeoOrko	Application Development	A collection of domain-specific business operations agents that are autonomous in nature
Mphasis NextOps	Business Ops	A collection of Domain specific business operations agents that are autonomous in nature
Mphasis NeoARCHE	Application Development	Analyzes the code stream to route workloads between CPU & GPU: Autonomous Routing for Compute Heterogeneity
Ontosphere	Modernization, App Development, ITOps, Business Ops	Enterprise intelligence encoded with contextual knowledge based on domain ontologies

NeoIPnatively connects with third-party AI agents through Model Context Protocol (MCP) and Agent2Agent (A2A) standards, expanding the agent fabric for unified, cross-enterprise orchestration.

Early client engagements have delivered measurable impact across multiple dimensions:

• Up to 60% improvement in development and modernization efficiency through AI-led code generation, testing, and optimization
• 50% reduction in mean time to detect Mean Time to Detect (MTTD) and resolve IT incidents through improved observability and automation
• 3–5 hours of predictive early warning for major outages using AI-based anomaly detection
• Sustained cost and margin improvements through a Savings-led Transformation approach that builds continuous value
• Build a cloud-ready, composable, business capability-driven platform with real-time event-driven architecture.

Mphasis has also transformed its AppStore into an AI-powered marketplace, enabling employees to easily discover, download, and use NeoIP^TM solutions. With intelligent search and curated categories, the platform streamlines access to tools that drive innovation and efficiency across the organization.

NeoIP further sets the stage for Mphasis’s next phase of innovation under the Mphasis Quantum initiative, which will introduce new solutions using quantum computing and AI to further enhance enterprise decision-making and transformation.

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LAS VEGAS: CrowdStrike announced innovations with Amazon Web Services (AWS), Intel, Meta, NVIDIA, and Salesforce to secure the future of enterprise AI. By embedding protection with the world’s AI leaders, CrowdStrike is uniting the ecosystem to innovate with AI, secure AI, and lead cybersecurity into the AI era with the CrowdStrike Falcon® platform.

AI is transforming every industry – but it also creates new attack surfaces. Models can be stolen, data poisoned, agents manipulated, and cloud workloads hijacked. The Falcon platform delivers the foundation for securing AI – protecting the environments and models where AI runs, preventing sensitive data from leaving endpoints and cloud workloads, uncovering shadow AI apps and risky integrations, and securing AI agents across the SaaS stack.

Securing AI With the World’s Leaders

CrowdStrike is extending Falcon protection across the AI ecosystem through innovations with the world’s AI leaders:

• AWS – Securing the full cloud AI lifecycle, from build to test, deployment, and runtime, with native integrations in Amazon SageMaker, Amazon Bedrock, and AWS Marketplace.
• Intel – Protecting data at the source with Falcon® Data Protection on Intel NPU technology, and with Dell’s trusted AI PCs, providing a stronger foundation for secure AI adoption.
• Meta – Launching CyberSOCEval, a new suite of benchmarks for evaluating how AI systems perform in real-world security operations.
• NVIDIA – Securing the full AI lifecycle for LLMs and Enterprise AI Factories – from build to runtime to posture management – with the Falcon platform and NVIDIA AI.
• Salesforce – Integrating Falcon® Shield into Salesforce Security Center and bringing Charlotte AI into Agentforce for Security to help customers protect their AI agent, workflows, and applications – uniting business and security teams on a foundation of trust.

“Securing AI is not just about technology – it’s about securing the full ecosystem where AI is built, deployed, and used,” said Daniel Bernard, chief business officer at CrowdStrike. “By embedding protection with the world’s AI leaders, we’re giving enterprises the confidence to adopt AI, innovate with AI, and secure AI, all while delivering revolutionary outcomes.”

CrowdStrike Secures the AI Ecosystem

AI doesn’t live in the network; it lives across the ecosystem where models are built in the cloud and AI Factories, where adoption happens on PCs and endpoints, and where autonomous agents take action. As AI transforms how work gets done, adversaries look for every weak point in the enterprise. By embedding unified protection with the companies driving the AI revolution, CrowdStrike is the cybersecurity center of the AI ecosystem.

To learn more about how CrowdStrike secures AI, visit here.

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MUMBAI: Schneider Electric, a leader in energy management and automation, has announced the launch of its next-generation Industrial Copilot, developed in collaboration with Microsoft. This Generative AI-powered assistant is purpose-built to enhance open automation ecosystems, driving greater efficiency, flexibility, and intelligence across industrial operations. Eliminating repetitive tasks, this Generative AI-powered assistant allows industries to collaborate, supports simplification of application development, delivers efficiency gains, and brings quality solutions to market faster.

The Copilot is deeply integrated into the EcoStruxure Automation Expert Platform, Schneider Electric’s flagship open automation environment. By embedding AI directly into this open, interoperable framework, the Copilot enhances the flexibility, scalability, and intelligence of automation systems—delivering benefits that closed, proprietary systems simply cannot match.

Industrial copilots are increasingly adopted to improve efficiency with real-time recommendations, leading to smoother operations and quicker decisions. They also minimize machine downtime with immediate troubleshooting and predictive maintenance, integrate data for better decision-making, and reduce manual work, saving costs.

“India’s manufacturing sector is rapidly evolving, demanding greater flexibility and efficiency, and Open Automation plays a pivotal role in achieving this goal,” said Arvind Kakru, VP- Industrial Automation, Schneider Electric India. “Our AI Copilot, developed with Microsoft and building on our deep domain expertise, doesn’t just operate within an open ecosystem- it strengthens it. It simplifies engineering, accelerates deployment, and empowers teams to do more with less, all while reinforcing the core values of openness, modularity, and collaboration.”

Building on Schneider Electric’s leadership in open, software-defined automation and leveraging the flexibility of EcoStruxure Automation Expert, the world’s first open software-defined automation solution, the Copilot will be available within Schneider’s newly launched unified automation environment, EcoStruxure Automation Expert Platform. The EcoStruxure Automation Expert Platform integrates seamlessly across various hardware and software platforms, enhancing collaboration between copilots, operators, and engineers by incorporating real-time data access, which is crucial for providing accurate recommendations, predictive maintenance, and immediate troubleshooting.

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InfRE360 is designed to empower strategic decision-making and investment planning among sponsors, investors, regulators, and other stakeholders in India’s REIT and InvIT ecosystem. Coverage encompasses road, power, telecommunication, warehouse & logistics for InvITs and REITs. The platform offers comprehensive insights backed by powerful analytical tools and real-time intelligence.

“With the rapid evolution of India’s infrastructure and real estate trust markets, there is an urgent need for a robust and reliable analytics backbone. InfRE360 bridges this gap by delivering actionable insights, transparency, and efficiency in a single, user-friendly platform,” said Madhubani Sengupta, Head- Knowledge Services, ICRA Analytics.

Key Features of InfRE360

• Extensive Data Coverage: Access up-to-date annual and quarterly financials from FY2022, covering 150+ performance parameters for REITs, InvITs at the Trust level, and their 300+ SPVs  
• Performance Assessment: Explore sector, entity, and asset-level performance through interactive visuals. Evaluate key financial ratios across diverse metrics for deep operational insights.
• Key News Tracking: Stay ahead of market developments with near real-time alerts on the REITs and InvITs landscape
• Peer Level Analysis: Compare multiple peers within specific sectors to identify leaders, benchmark performance, and uncover strategic opportunities.
• Detailed Insights: Granular SPV-level information and access to comprehensive data on shareholding patterns, debt instruments, and credit ratings.
• Valuation Simulator: Run scenario modelling and sensitivity analysis to assess potential changes in valuation based on varying market conditions

Tailored Benefits for Key Stakeholders

• Sponsors & Owners
  • Strategic insights from comprehensive data sets
  • Peer benchmarking for competitive advantage
  • Time-saving automated data collection
• Investors
  • Informed investment decisions via detailed analytics
  • SPV-level risk identification and mitigation
  • Scenario-based valuation clarity
• Regulators
  • Real-time compliance tracking and market risk monitoring
  • Data-driven policy formulation and gap analysis
  • Enhanced transparency and accountability

With InfRE360, ICRA Analytics continues to redefine how India’s capital markets leverage data and technology to drive efficiency, governance, and informed growth.

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BENGALURU: Qlik^®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced an expanded set of capabilities coming soon in its Qlik Cloud Analytics solution — equipping enterprises with tools to detect anomalies, forecast complex trends, prepare data faster, and take immediate action through embedded decision workflows.

While organizations continue to invest heavily in AI and data, most still struggle to turn insight into impact. Dashboards pile up, but real-time execution remains elusive. Only 26% of enterprises have deployed AI at scale, and fewer still have embedded it into operational workflows. The problem isn’t access to static intelligence — it’s the ability to act on it. Dashboards aren’t decision engines, and predictive models alone won’t prevent risk or drive outcomes. What businesses need is intelligence that anticipates, explains, and enables action, without added tools, delays, or friction.

“Enterprises struggle making intelligence accessible and actionable for their business users,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “Too many systems deliver insights and answers after the fact. We’re building something different: a platform where AI detects what matters, surfaces it in context, and lets you act — all within the analytics environment itself.”

With these planned launches, Qlik will be introducing a new layer of intelligence across its platform — one that doesn’t just report what’s happening, but anticipates what’s next and enables action in the moment. Discovery agent, multivariate time series forecasting, write table, and table recipe work in concert to solve a singular problem: how to move from fragmented insight to seamless execution, at scale.

These launches, along with the renaming of Qlik AutoML to Qlik Predict^TM and Qlik Application Automation to Qlik Automate^TM, reflect a broader shift toward more intuitive, outcome-driven experiences across the Qlik platform. Each capability targets a critical enterprise bottleneck — from delayed awareness to inaccurate forecasting, data prep bottlenecks to disconnected workflows — delivering a cohesive solution that closes the gap between data and decisions.

• See what others miss before it’s too late — with the discovery agent. Executives no longer need to manually track business changes or sift through data. Discovery agent continuously scans performance across applications and datasets, automatically surfacing critical risks and opportunities before they intensify. Insights are delivered through a personalized feed that clarifies what’s happening, why it matters, and suggested next steps.
• Forecast reality, not just trends — with multivariate time series forecasting. Built into Qlik Predict (formerly AutoML), this capability moves beyond single-variable projections to model the full complexity of business conditions. By analyzing relationships across interdependent variables — like pricing, campaign activity, seasonality, and economic signals — it delivers sharper forecasts that reflect real-world dynamics. The result: more confident planning, faster scenario testing, and better decisions.
• Annotate and update data live — with a write table. Write table enables users to add context to data records directly in analytics tables, with instant sync across sessions and no reloads required. This capability enhances in-context data review and lays the groundwork for governed writeback into systems like SAP, Salesforce, and Snowflake — part of Qlik’s long-term vision for integrated, action-ready analytics.
• Prep data faster with no code — using a table recipe. Table recipe provides a streamlined, spreadsheet-like experience for preparing single-table datasets — no scripting or complex modeling required. Users can clean, convert, and format data with over 60 visual functions, seeing changes in real time. It empowers non-technical users to prep high-quality data quickly, accelerating the path to reliable insights.

“We’ve spent too much time reacting to what already happened — and not enough time getting ahead of what’s next,” said Olga Garagonich, Lead Manager, Data Visualisation, BT Group. “With these new capabilities in Qlik, we’ll be able to catch issues earlier, forecast more accurately, and take action — all without disconnected workflows or delays. That’s a game-changer for how we operate.”

Together, these capabilities transform Qlik from a system of insight into a system of execution — building the foundation for what comes next in enterprise AI: decision-making that’s not just intelligent, but contextual, automated, and embedded at the point of need.

Discovery agent, multivariate time series forecasting, write table, and table recipe will be available for private preview for select customers this year. General availability will begin rolling out in phases starting in summer 2025.

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ORLANDO, FL: Qlik^®, a global leader in data integration, data quality, analytics, and artificial intelligence, today introduced its new agentic experience at Qlik Connect^® 2025. The agentic experience will provide a single, conversational interface allowing users across the enterprise to interact naturally with data, using specialized AI agents to quickly uncover insights, drive faster decisions, and boost productivity, bringing new simplicity to complex data-driven workflows.

Qlik has consistently pushed forward the possibilities of data exploration, visualization, and analytics. At the heart of this continuous innovation is the Qlik engine—a unique technology that indexes relationships across data, enabling the discovery of unexpected connections. The agentic experience builds directly on this engine, expanding the ability of both users and agents to intuitively access these relationships, surface insights, and take action across diverse data.

The agentic experience will enable users to access insights and take action simply by engaging in natural language dialogue. Operating seamlessly across Qlik Cloud—including data integration, data quality, and analytics solutions—the experience removes friction, providing fast, intuitive visibility for smarter decisions and higher productivity.

At Qlik Connect, the company demonstrated how specialized AI agents will support users within this new experience:

• Introduced last year for unstructured data, Qlik Answers will bring together structured and unstructured data in a single natural language experience, delivering trusted answers and enabling automated actions.
• Revealed for the first time at the event, a discovery agent will proactively identify critical risks and opportunities across applications and datasets, presenting insights and recommended actions through a personalized feed.
• Demonstrated as a concept, a pipeline agent will allow users to describe desired business outcomes conversationally, prompting automated recommendations and the design of necessary data pipelines.

As enterprises face unpredictable market conditions and increasing pressure to make critical decisions rapidly, investments in AI have grown. With its agentic experience, Qlik is focused on helping customers turn data into timely, high-quality decisions and results. Qlik’s agentic experience is specifically designed to empower teams to accelerate both decisions and productivity in rapidly changing environments.

“This new agentic experience is about removing the distance between data, decisions, and outcomes,” said Mike Capone, CEO of Qlik. “People want a seamless, conversational way to engage with their data—one that fits naturally into their work and delivers clear, trusted answers in context. We’ve built this experience to reflect how business decisions are made.”

“There’s a growing demand for AI that does more than generate responses—enterprises want systems that can reason across complex data, explain their outputs, and drive action,” said Megha Kumar, Research Vice President, Worldwide Analytics & AI, IDC. “Qlik Answers combines structured and unstructured data with automation in a governed, explainable framework. It’s a strong example of how agentic AI can support real enterprise decision-making.”

“We’re under constant pressure to make faster, better decisions with data that’s scattered across the business,” said Yuzuru Fukuda, Corporate Executive Officer – Senior EVP, Enterprise Division CEO, Fujitsu. “The ability to ask a question and get a trusted, contextual answer—across structured reports, unstructured content, and automated workflows—is exactly the kind of capability we’ve been waiting for. It has the potential to remove a lot of friction from how decisions get made.”

The Qlik agentic experience is scheduled to begin rolling out this summer, starting with private previews. Through live demos and executive briefings, teams attending Qlik Connect can experience the agentic capabilities firsthand.

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ORLANDO, FL: Qlik^®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced the launch of Qlik Open Lakehouse, a fully managed Apache Iceberg solution built into Qlik Talend Cloud. Designed for enterprises under pressure to scale faster and spend less, Qlik Open Lakehouse delivers real-time ingestion, automated optimization, and multi-engine interoperability — without vendor lock-in or operational overhead.

This marks a major step forward in the evolution of modern data architectures. As organizations accelerate AI adoption, the cost and rigidity of traditional data warehouses have become unsustainable. Qlik Open Lakehouse offers a new path: a fully managed lakehouse architecture powered by Apache Iceberg that delivers 2.5x–5x faster query performance and up to 50% lower infrastructure costs, while maintaining full compatibility with the most widely used analytics and machine learning engines.

“Performance and cost should no longer be a tradeoff in modern data architectures,” said Mike Capone, CEO of Qlik. “With Qlik Open Lakehouse, enterprises gain real-time scale, full control over their data, and the freedom to choose the tools that work best for them. We built this to meet the demands of AI and analytics at enterprise scale — without compromise.”

Qlik Open Lakehouse is built from the ground up to meet the scale, flexibility, and performance demands of modern enterprises, without the tradeoffs. It combines real-time ingestion, intelligent optimization, and true ecosystem interoperability in a single, fully managed platform.

• Real-time ingestion at enterprise scale: Ingest millions of records per second from hundreds of sources — including cloud apps, SaaS, SAP, and mainframes — directly into Iceberg tables with low latency and high throughput.
• Intelligent Iceberg optimization, fully automated: Qlik’s always-on adaptive Iceberg optimizer handles compaction, clustering, and pruning automatically, delivering up to 5x faster queries and 50% lower storage costs — no tuning required.
• Open by design, interoperable by default: Access data in Iceberg tables using a variety of Iceberg-compatible engines, including Snowflake, Amazon Athena, Apache Spark, Trino, and SageMaker — without re-platforming or reprocessing.
• Your compute, your cloud, your rules: Runs natively in your AWS VPC with Bring Your Own Compute (BYOC), giving you full control over performance, security, and cost.
• One platform, end to end: From ingestion and transformation to governance, data quality, and FinOps visibility, Qlik provides a unified lakehouse experience — no patchwork, no handoffs.

“Enterprises are increasingly adopting lakehouse architectures to unify data across on-premises and cloud environments,” said Matt Aslett, Director of Research, Analytics and Data at ISG Software Research. “Qlik Open Lakehouse, which leverages open standards such as Apache Iceberg, is well-positioned to meet the growing demand for real-time data access and multi-engine interoperability, enabling enterprises to harness the full potential of their data for AI and analytics initiatives.”

As AI workloads demand faster access to broader, fresher datasets, open formats like Apache Iceberg are becoming the new foundation. Qlik Open Lakehouse responds to this shift by making it effortless to build and manage Iceberg-based architectures, without the need for custom code or pipeline babysitting. It also runs within the customer’s own AWS environment, ensuring data privacy, cost control, and full operational visibility.

“Qlik Open Lakehouse initiative is a significant development we’re keenly watching,” shared David Navarro, Data Domain Architect at Toyota Motor Europe. “Large corporations like ours urgently need interoperability between diverse business units and partners, each managing its own technology stack and data sovereignty. Apache Iceberg is emerging as the key to zero-copy data sharing across vendor-independent lakehouses, and Qlik’s commitment to delivering performance and control in these complex, dynamic landscapes is precisely what the industry requires.”

Qlik Open Lakehouse is available now in private preview and is scheduled to be generally available in July 2025. Private preview is limited — early access is encouraged for teams looking to modernize ahead of GA. To learn more and request early access, connect with us at Qlik Connect, May 14–17 in Orlando.

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Nazia Pillay, Interim Managing Director for South Africa at SAP, says: “The data is clear: African companies expect the demand for AI skills to increase this year, with six in ten saying AI skills are ‘extremely important’ to their success. The business impact of a lack of AI skills availability is already evident, with 90% of companies in our research citing negative impacts that include project delays, failed innovation initiatives, and an inability to take on new work.”

SAP’s latest report follows an earlier tech skills report released in 2023, which unveiled specific challenges and opportunities for African organisations seeking greater tech skills availability.

“Our first report was conducted just as we exited the worst of the pandemic impact. At the time, companies were facing several challenges with attracting, retaining, and upskilling suitable, qualified tech workers, especially in the wake of the rise of remote and hybrid work environments. This year, the business landscape has been transformed by the impact of AI technologies and the search for relevant skills.”

The research was conducted at the end of 2024 among both mid-size and enterprise-level companies in Kenya, Nigeria, and South Africa.

Universal need for AI skills

Every organisation that was surveyed as part of the research said they expect the demand for AI skills to increase in 2025. All companies are also expected to experience some AI-related skills gap this year. “Skills related to AI are hugely in-demand among African organisations, with 85% saying AI development skills are a priority, and 83% prioritising Generative AI skills. To help close the AI skills gap, two-thirds of organisations are introducing career development initiatives with AI specialisation to upskill or reskill employees.”

Overall, the most in-demand tech skill among African organisations is cybersecurity. “Eighty-six percent of companies said cybersecurity skills were important to them, a significant increase over the 63% that said the same in our previous research. The growing importance of cybersecurity may be partly explained by the rapid growth of Africa’s digital economy and the millions of citizens that are being brought into the digital fold through public and private sector initiatives.”

Changing workplace expectations

There are far-reaching changes in the expectations of both employers and employees regarding skills and the workplace compared to a few years ago. “Eight in ten African organisations said supporting skilled employees’ requests for hybrid or remote work is their top skills-related challenge this year, a significant increase from only 32% who said the same in our previous survey.“

The non-technical attributes that African organisations look for in potential hires have also evolved. “In 2023, technical skills and industry-specific skills were the top attributes. Affordability was somewhere near the bottom, with less than a third of organisations saying they consider it during the hiring process. This year, affordability is the number one candidate attribute for African organisations, with adaptability a close second.”

Adaptability is essential in light of the need for employees to be upskilled or reskilled with AI skills. “Reskilling is a top skills-related priority for 38% of companies this year, with 48% saying the same of upskilling employees. Unsurprisingly, two-thirds of companies said helping employees understand why reskilling is necessary is one of the top challenges this year.”

Training, skills development in the spotlight

Pillay says companies are stepping up their IT training and skills development efforts to help meet the demand for skills. “Ninety-four percent of African organisations offer training and skills development to employees at least monthly, an increase from 74% in our last survey. The number of companies offering training opportunities to employees at any time also increased from 28% in our last survey to 37% this year.”

Surprisingly, the portion of companies’ IT or HR budgets allocated to skills-related initiatives has declined since 2023. “The drop in budget allocation for skills development requires an urgent rethink. Organisations that don’t invest in appropriate skills now may find they are unable to leverage innovations and emerging technologies, leaving them trailing their more skills-enabled competitors.”

SAP’s ‘Africa’s AI Skills Readiness Revealed’ report is now available and can be downloaded here

Distributed by African Media Agency (AMA) on behalf of SAP Africa.

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