Tech News
Qlik Expands Embedded AI Capabilities for Smarter Decisions and Faster Intelligence
Qlik recently 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 and Qlik Application Automation to Qlik Automate, 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 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 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 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 summer 2025.
Tech News
SHURE CELEBRATES INTERNATIONAL WOMEN’S HISTORY MONTH IN THE MIDDLE EAST AND AFRICA REGION

In professional audio, the most important moments are often the ones audiences never notice when collaboration feels seamless and every voice is heard clearly. Shure continues to build on this foundation through a long-term approach to growth, led by women guiding strategy globally and regionally, and supported by an ecosystem-first model across the Middle East and Africa (MEA).
Rose Shure’s leadership drove the Company forward for decades, including global expansion into many countries. Chris Schyvinck, Shure President and CEO, has continued that vision, leading Shure into another century of innovation and progress. For more than 30 years, Shure has featured a woman in a key leadership position.
Shure’s scale and legacy reflect a century of consistent innovation and deployment. Over its 100-year history, Shure has developed more than 50,000 electronics products, with solutions sold in more than 120 countries worldwide and operations across more than 30 locations globally, supporting customers and partners across the Americas, EMEA, and Asia.
Schyvinck said: “At Shure, leadership is about building for the long term, investing in people, strengthening capability, and staying close to the real-world environments where sound matters most. As our teams innovate globally and deliver locally, we remain focused on all the essential features professional audio makes possible: better connection, better understanding, and better outcomes. Women across Shure play an important role in shaping that direction and delivering impact across our global and regional teams.”
Yet while sound continues to power the way organisations meet, learn, and perform, representation across technical audio pathways remains a wider industry challenge. Research continues to highlight how limited women’s credited participation remains in certain production roles globally — including findings that women account for only 2.8% of credited music producers across a large multi-year chart dataset.
Across the Middle East, however, the pipeline for future technical leaders is notably stronger. Recent UAE reporting and national indicators point to high participation of women across higher education and STEM pathways, including women representing 70% of university graduates, and strong representation within STEM and engineering education. This momentum reinforces the region’s potential to shape a more diverse future-ready workforce across technology-led industries including AV, enterprise collaboration, and professional audio.
In addition to all of the women worldwide who contribute to the success of the Company, Shure is also proud to work with many women in various roles throughout the industry – executives, performers, engineers, clergy, podcasters, administrators, educators, and others.
The Company is a proud supporter of industry initiatives such as the AVIXA Women’s Council and is also committed to helping engage the next generation of women leaders by offering global “Women Everywhere” Associate Resource Groups within Shure and hosting regular “Celebrating Women in Technology” panels moderated by Schyvinck spotlighting women working in various professional audio positions worldwide so others can learn from them and be inspired to pursue careers in the industry.
Ekta Shetty, Senior Sales Director Shure MEA, added: “Across MEA, our focus is on outcomes: clearer communication, stronger collaboration, and reliable audio performance across environments where teams make decisions and deliver experiences. Long-term growth depends on capability: supporting partners, investing in teams, and building consistency at scale.”
Building on this foundation, Shure continues to prioritise long-term, capability-driven growth across enterprise collaboration, education, government, and live production environments working closely with integrators, distributors, and channel partners to strengthen deployment outcomes and market maturity.
Tech News
TRENDS IN AI COMPLIANCE INFLUENCING HOW GCC COMPANIES OPERATE

Across the GCC, national growth strategies, with Saudi Arabia’s Vision 2030, the UAE’s National AI Strategy 2031, and Qatar’s national roadmap, place AI at the centre of economic diversification. McKinsey estimates AI adoption at roughly 84% across GCC organisations, with a potential $320 billion economic impact for the Middle East by 2030. As deployment accelerates, regulatory compliance is a defining factor separating ambition from sustainable scale. Shaffra, an AI research and applications company building autonomous AI teams for enterprises and governments, sees six clear shifts reshaping how companies operate.
1. Regulation is accelerating adoption in high-stakes sectors
Government entities, financial services, telecom, aviation, and large semi-government organisations are moving fastest. These sectors operate at scale, face strict efficiency mandates, and function under constant regulatory oversight. Healthcare and energy are advancing more cautiously due to safety and data sensitivity. In many cases, the more regulated the industry, the faster AI deployment progresses. However, rapid scaling also exposes governance weaknesses, particularly where documentation, ownership, and oversight mechanisms are underdeveloped.
2. Compliance is prerequisite for scale
Over the past year, 88% of Middle East CEOs have reported generative AI uptake. Today, organisations increasingly require audit trails, explainability, clear data lineage and residency controls, defined performance thresholds, and enforceable human oversight mechanisms. With one in four Middle East consumers citing privacy as a primary concern, compliance is being treated as a post-deployment validation exercise; it is a structural requirement for scaling AI responsibly.
3. Sovereign AI and data residency are shaping architecture
AI governance in the GCC is being influenced less by standalone AI laws and more by data protection and cybersecurity frameworks. The UAE’s federal data protection law, Saudi Arabia’s PDPL under SDAIA, and Oman’s PDPL reinforce lawful processing and cross-border controls. In highly regulated sectors such as banking, healthcare, energy, and telecommunications, data residency and local control over models are strategic imperatives. Sovereign AI is evolving from a policy ambition into an operational requirement affecting infrastructure, vendor selection, and system design.
4. Human accountability is being reasserted
When organisations deploy AI without defining who owns the decision, when human escalation is required, and what the system is permitted or restricted from doing, they create either over-reliance or under-utilisation. Without clearly defined ownership and documented review controls, accountability weakens and regulatory exposure increases.
For instance, DIFC reinforces responsible AI use in personal data processing. High-impact decisions involving legal standing, fraud, employment, healthcare guidance, or public sector determinations that affect citizens need to involve human oversight, while AI handles speed, consistency, and automation of repetitive tasks. High-impact decisions should involve accountable human oversight.
5. Governance maturity slows deployment activity
Many organisations are AI-active but still developing governance maturity. Common governance gaps are structural rather than technical. Multiple pilots often run in parallel, tool adoption is fragmented, and accountability is split across IT, legal, risk, and business functions. Growing enterprises often lack a central AI governance owner, a comprehensive use-case inventory, consistent vendor and model risk assessment, and formal escalation protocols. Policies may exist at the board level, yet it is not consistently embedded into day-to-day operations. Addressing this gap requires governance to be built into workflows from the outset.
6. Continuous auditing is discipline
Studies indicate that a majority of ML models degrade over time, through model drift, hidden bias, or misuse vulnerabilities. Initial audits frequently reveal undocumented use cases, weak access segmentation, insufficient logging, and unclear review protocols. Effective governance requires compliance with international and local data residency rules, structured risk tiering, data lineage validation, access controls, bias testing, performance benchmarking, and defined incident response procedures. High-impact systems warrant quarterly reviews supported by continuous monitoring, while lower-risk applications still require periodic reassessment. Governance is increasingly measured through evidence rather than policy statements. Boards are asking for dashboards, logs, and audit artefacts — not policy PDFs.
Governance is being considered as part of AI infrastructure. Compliance frameworks are evolving into operational architecture embedded within systems, workflows, and accountability models. The organisations that will lead in the GCC are those that design governance at the same time they design capability, ensuring AI scales with discipline rather than risk.
Tech News
PNY ANNOUNCES STRATEGIC PARTNERSHIP WITH F5 TO ACCELERATE THE ADOPTION OF SECURE, HIGH-PERFORMANCE INFRASTRUCTURE IN EMEA

PNY Technologies, a leading distributor of technology solutions and long-standing NVIDIA partner, today announced a partnership with F5, the global leader in delivering and securing
This agreement aims to strengthen access for enterprises across the EMEA region to advanced solutions designed to optimise, secure, and accelerate applications and IT infrastructures.
As AI adoption continues to accelerate, performance, data flow management, and application security are becoming critical priorities. Through this partnership, the F5 Application Delivery and Security Platform (ADSP) will complement PNY’s AI Factory ecosystem by providing advanced capabilities for traffic management, application security, and performance optimisation across on-premises, cloud, and hybrid environments.
PNY will leverage its technical expertise, partner network, and logistics capabilities to facilitate the deployment of F5 ADSP solutions for enterprises, system integrators, and service providers throughout the region.
“Collaboration between PNY, a specialist distributor of NVIDIA AI Factory solutions across the EMEA region, and F5 represents a major step forward for AI-dedicated infrastructure,” said Laurent Chapoulaud, VP Marketing at PNY. “Together, we optimise GPU environments through accelerated data flows and enhanced application security. This synergy between infrastructure and intelligent traffic management enables the deployment of AI architectures that are high-performance, resilient, and scalable.”
“This partnership brings together complementary strengths that directly benefit our partners and customers,” said Nasser El Abdouli, Regional VP EMEA Channel Sales, F5. “PNY’s longstanding partnership with NVIDIA, combined with F5’s growing AI-focused application delivery and security offerings, allows us to help partners capably respond to the rapidly increasing demand for secure and scalable AI infrastructure across EMEA.”
Through this collaboration, PNY and F5 aim to support enterprises in their strategic initiatives related to hybrid multicloud, cybersecurity, and application performance optimisation, while simplifying access to next-generation technologies.
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