Connect with us

Tech Features

Tech’s Big Bang in 2025: AI is the Spark Igniting a New Era

Published

on

Dell

By John Roese, Global Chief Technology Officer and Chief AI Officer – Dell Technologies

The year is 2025, and we’re witnessing the technological equivalent of the “big bang” with AI at the epicenter of how we live, work and play. Just as the universe expanded rapidly after its inception, technology is exploding into new realms, redefining industries and reshaping our future. Whether you’re a tech enthusiast, business professional, innovator or student, understanding these shifts is vital to navigating this brave new world.

The Rise of Agentic AI Architecture

“Agentic” will be the word of the year in 2025. The birth of agentic AI architecture marks a new chapter in human-AI interaction. Generative AI (GenAI) tools are evolving to enable AI agents, which are poised to revolutionize how we engage with AI systems.

In the consumer world, we’ve seen early agent approaches with virtual assistants, chatbots and navigation apps. In 2025, a new, more advanced set of agents will emerge. These agents will operate autonomously, communicate in natural language and interact with the world around them, including working in teams of other agents and humans. They will also be fine-tuned and optimized to perform assigned, specific skills, like coding, code review, infrastructure administration, business planning and cybersecurity.

AI agent systems will feature diverse cognitive, orchestration, and distribution architectures tailored to specific tasks. As complexity grows, multi-agent systems will emerge, requiring the rapid evolution of tech stacks to support agentic systems effectively.

To realize AI’s full potential and the rise of agentic architecture, enterprises must upgrade infrastructure – everything from data centers to AI PCs. This distributed infrastructure optimized for agentic AI can address security, sustainability and capacity considerations by distributing the AI workload across the entire IT infrastructure (cloud, data center, edge, and device).

Scaling Enterprise AI From Concept to Reality

Enterprises are poised to take AI from ideation to scale. Enterprise AI is simply the application of AI technology to a company’s most impactful processes in its most important areas to improve the productivity of the organization. It requires customers to answer two important questions:

  • First, what problem am I trying to solve? Developing a framework to prioritize AI efforts to the most important, impactful areas is critical.
  • Secondly, how do I solve that problem? AI solutions implemented as random projects on random tools do not scale. Instead, enterprises must determine the minimum set of AI systems needed to build a reusable and scalable AI foundation. This allows them to solve the first set of critical AI problems, and then leverage that investment to solve all future AI problems.

At Dell, for instance, our priority areas are our global supply chain, our services capability, our sales engine and our R&D capacity. Any impact on these areas results in significant ROI over other areas like HR, finance and facilities.

Next, enterprises should look at specific processes in its priority areas. For example, if process analysis uncovers an opportunity not in how salespeople interact with customers, but in how much time they spend gathering content for the customer meeting, that’s a clear AI project. GenAI can be used to automate and accelerate content discovery and creation work. In this case, the ROI is clear: shift sellers’ time back to customer-facing activities and increase revenue.

To execute prioritized projects, enterprises today have multiple off-the-shelf tools from which to choose. So, in 2025 the preferred path is to buy and implement AI tools in their private infrastructure. They can also buy tools that accelerate data modernization (data meshes, for example), and with the Dell AI Factory advancements over the past year, the infrastructure is now simple to adopt and implement.

In 2025, we have clear, repeatable approaches for prioritization and more turnkey and well-defined AI platforms and AI infrastructure options. 2025 is a year when it simply becomes easier to know what to do and how to do it when adopting AI in the enterprise space.

Sovereign AI Accelerates Global Adoption

Sovereign AI efforts are accelerating AI adoption worldwide. This concept revolves around a nation’s ability to create AI value and differentiation using its own infrastructure and data, designing an ecosystem aligned with local culture, language and intellectual property. In an era where data security is paramount, countries are opting for sovereign AI strategies and solutions, often with strong collaboration between the public and private sectors.

Instead of AI systems exclusive to governments, some countries are developing national AI resources to serve both government and local private industry, providing access to compute power and data capacity. Others are implementing a coherent national strategy where governments do not necessarily build new infrastructure but instead proactively and collaboratively co-design and encourage private industry to modernize and lead AI ecosystems.

Sovereign AI empowers nations to increase accessibility, protect critical infrastructure, drive economic growth, and enhance global competitiveness. By fostering the development of AI, it accelerates its adoption. We’re seeing growing investments directed toward infrastructure, data management, talent cultivation, and ecosystem development – and we fully expect to see this trend continue in the years ahead.

AI and the Fusion of Emerging Technologies

AI’s true potential lies in its connections with other emerging technologies. While AI itself is transformative, its impact multiplies when combined with quantum computing, intelligent edge, Zero Trust security, 6G technologies and digital twins, to name a few. This fusion creates a dynamic environment ripe for innovation and addressing existing challenges.

For instance, quantum computing in collaboration with AI will significantly impact most industries by providing the computing capability needed to scale AI to domains where classical computing struggles – likecomplex material science, drug discovery and complex optimization problems.

AI and telecom are already coming together to transform how cellular networks operate and how fundamental elements of these systems, like spectrum optimization, work. Even the future of the PC is influenced by AI, as we now see the AI PC not just as a client device but part of the end-to-end AI infrastructure. With agentic architectures, we expect to shift agents out of the data center and onto the edge or to the AI PC.  

Zero trust security and AI also are intersecting. Zero trust architectures are the best path to a better, more secure world and implementing zero trust in brownfield legacy IT is hard. In contrast, AI infrastructure is new and greenfield. We expect customers to adopt zero trust by default in new AI factories for optimal security. Given the criticality of AI, that is a good thing for all of us.

AI Becomes an Essential Skill for Everyone

AI will become an indispensable tool across professions and industries. Much like past technological advancements, AI is poised to transform the job market. Routine, task-oriented roles may diminish, but new opportunities will arise, such as software composers, AI content editors and prompt engineers.

Recent surveys reveal 72% of IT leaders identify AI skills as a critical gap requiring immediate attention. Organizations must invest in developing their workforce’s AI fluency. AI skill development will be focused on defining the AI/human relationship where AI completes more of the tasks, but people define what needs to be done. This allows professionals to focus on higher-level tasks, critical thinking and complex problem-solving.

With AI, it’s not just about the work that goes away, it’s about the new roles humans play in shaping, directing and leading AI work. AI-enabled businesses can use the evolution of the human-machine relationship to accomplish tasks in different ways and expand the art of the possible.

AI is Tech’s Grand Evolution

Just as the Big Bang set the stage for the development of galaxies, stars and planets, the rapid growth of AI is creating new opportunities, industries and ways of living and working.

As we approach 2025, we predict enterprise AI adoption will accelerate dramatically in the coming year. We’re seeing better processes, better tools and a stronger ecosystem. At Dell, our initial AI projects have scaled successfully and demonstrated the potential for ROI is real. We predict the rest of the enterprise ecosystem will quickly follow suit.

For CIOs, staying informed and adaptable will be essential. Organizations must prioritize AI fluency, invest in talent development and explore innovative solutions to remain at the forefront of this tech revolution.

The future belongs to those who can harness the power of AI. Whether you’re a business executive, tech enthusiast, or innovator, the time to act is now. The impact will be profound.

Tech Features

Yango Tech: Four Game-Changing Tools Revolutionising Retail Operations

Published

on

A wide angle shot of a robotic arm by Yango Tech in an industrial setup

Consumer demand in the Middle East is rising fast, driven by omnichannel shopping habits and the expectation of speed and accuracy. AI-powered automation has become essential for retailers to keep up. McKinsey projects AI contribute up to $150 billion to GCC economies by 2030, while the UAE’s retail sector is forecast to reach $74.87 billion by 2028. Yango Tech has outlined four key tools retailers can use to succeed in this environment.

1. AI Agents

AI agents are transforming retail with several capabilities. On the front end, they deliver contextually relevant recommendations in real time, tailoring offers based on location, cultural moments, or the weather, while conversational AI enriches the journey with human-like assistance in native languages. They also harness predictive capabilities by analysing unstructured data, from social media to past purchase behaviour, to anticipate shifts in demand and refine pricing or promotional strategies. Ahead of Eid Al-Adha, for instance, they might spotlight premium meat cuts or traditional Arabic sweets, helping retailers unlock revenue increases of 10–15%.

Beyond customer-facing roles, AI agents drive efficiency behind the scenes. Procurement agents compose RFPs, compare vendor offers, and execute sourcing decisions directly in procurement systems, saving up to 80% of manual effort. Replenishment agents forecast inventory gaps, adjust orders dynamically, and use computer vision to redistribute stock or reroute deliveries, boosting accuracy to 95% and cutting waste. Content management agents accelerate time-to-listing by auto-generating product cards, adapting content to trends, and ensuring consistency across markets. Pricing agents track competitor SKUs and demand elasticity in real time, optimising promotions and delivery fees to protect margins while sustaining competitiveness.

2. Smart Price Tags

Price intelligence has become crucial for staying competitive with today’s informed and price-sensitive shoppers. Dynamic pricing algorithms can review millions of products in minutes, optimising strategies at a speed human decision-making cannot match. By applying ML to track competitor pricing, market trends, and demand elasticity, retailers can adjust prices in real time, boosting gross merchandise value by up to 20%. These systems also factor in seasonal shifts, fluctuating supply costs, and product shelf life, while surge pricing AI manages delivery fees or order values during peak periods to protect margins. Digital twin technology strengthens this further by creating virtual replicas of stores, streaming data from sensors and cameras into pricing systems. This real-time visibility into shelves and product movement ensures that pricing decisions are tied directly to availability, enabling retailers to reduce waste, streamline operations, and maintain customer trust while driving profitability.

3. Computer Vision

Computer vision (CV) is redefining how retailers manage store layouts and product assortments by moving beyond static, manually updated plans. Instead of relying only on historical sales data, AI agents equipped with CV analyse real-time customer traffic and interactions to continuously optimize shelf arrangements and product placement. This creates store environments that adapt dynamically to shopper behaviour, boosting sales and improving the overall experience. CV also provides granular insights into store-specific conditions, from equipment to layout constraints, enabling smarter decisions. Beyond the shop floor, warehouses use CV to monitor dispatch accuracy, logistics teams track the condition of trucks in transit, and managers can oversee staff performance in real time. Paired with augmented reality, the technology also delivers richer customer engagement, allowing shoppers to virtually try on clothes or visualize furniture directly in their homes.

A wide angle shot of a robotic arm by Yango Tech in an industrial setup

4. Robotic automation

Robotics is moving from concept to necessity in retail. In warehouses, robotic pickers trained through behavioural cloning by human experts and thousands of real-world warehouse scenarios reach up to 95% picking accuracy. With the repetitive warehouse tasks taken over, staff can focus on higher-value work and boost productivity.

Autonomous delivery robots are also emerging as practical solutions for dense urban areas. Equipped with high-precision navigation, they operate 24/7 and cut emissions compared to traditional vehicles. They complement existing fleets by reaching locations where larger vehicles cannot, supporting zero-emission urban logistics. As battery technology and urban infrastructure advance, their role in retail operations will continue to expand.

Continue Reading

Tech Features

From Control to Intelligence: Why the GCC Is Poised to Lead the Next Security Evolution

Published

on

By Wei Huang, Chief Technology Officer, Anomali

In cybersecurity, each era is defined by a shift in architecture. Firewalls dominated the 2000s. Endpoint protection and identity controls shaped the 2010s. Today, we are entering a new phase — one where cloud-native platforms, real-time data correlation, and AI-powered analytics are no longer optional but essential.

Nowhere is this transition more timely than in the Gulf Cooperation Council (GCC) region. As cloud adoption accelerates across the United Arab Emirates (UAE), Saudi Arabia, and neighboring states, national cybersecurity resilience has become a critical pillar of digital transformation. GCC organizations have a unique opportunity to leap ahead — bypassing legacy limitations and adopting next-generation security architectures purpose-built for today’s advanced threats.

The Core Shift: Security Is Now a Data Problem

For decades, cybersecurity focused on control: firewalls, proxies, endpoint agents, and network gateways. While these tools remain foundational, today’s adversaries have evolved. Attackers exploit gaps between systems, bypass controls through misconfigurations, and evade siloed defenses with increasing sophistication.

The result is a fundamental architectural shift: modern security is no longer solely about enforcing control — it’s about processing data. Effective defense requires ingesting, normalizing, and correlating telemetry across every layer of the enterprise: endpoints, cloud workloads, SaaS platforms, identity systems, and external intelligence feeds. When combined with AI-powered analytics, this data-driven approach transforms raw telemetry into actionable insights, allowing defenders to outpace attackers, rather than merely react, once an attack has been detected.

Cloud-Native Design: The Architecture That Scales

Traditional security information and event management (SIEM) systems and on-premises platforms struggle to meet the scale, flexibility, and speed required in modern hybrid environments. Cloud-native architectures, by contrast, offer elastic scalability that aligns directly with national digital transformation priorities across the GCC.

However, the scale of telemetry introduces new challenges. Global cloud storage volumes are projected to reach 100 zettabytes by the end of 2025. Storing and processing such massive datasets can quickly become prohibitively expensive — unless managed with modern design principles.

The solution lies in the security data lake: a unified, long-term, cloud-native repository capable of retaining years of structured and unstructured security data. Unlike legacy systems limited to weeks or months of visibility, a security data lake enables continuous historical analysis for threat hunting, compliance, and investigations.

Crucially, modern architectures decouple storage and compute. Instead of permanently allocating compute resources (as most legacy platforms do), serverless designs apply compute power only when needed, dramatically reducing cost while enabling faster analysis.

For example, by leveraging serverless infrastructure on Amazon Web Services (AWS), Anomali enables compute bursts across thousands of nodes, delivering correlations and searches up to 1,000 times faster, at a fraction of the cost of traditional solutions. This approach is particularly aligned to national resilience goals, where speed and efficiency are essential.

Real-Time Correlation at Petabyte Scale

Today’s attackers automate their reconnaissance, probing continuously for vulnerabilities across every layer of the enterprise. To keep pace, organizations must reduce detection time and response costs, which demands real-time correlation across petabytes of data.

By integrating telemetry from multiple domains — including firewalls, endpoints, SaaS platforms, identity providers, and threat intelligence — organizations gain visibility into attacks that no single control would detect alone. For GCC enterprises expanding hybrid and multi-cloud infrastructures, the ability to correlate across these diverse sources in real time is mission-critical.

AI Delivers Context, Not Just Alerts

Artificial intelligence is now widely marketed in cybersecurity, but much of it offers opaque conclusions without transparency — effectively adding noise rather than clarity.

True AI-powered defense must provide explainability. Anomali applies chain-of-thought (CoT) AI reasoning, ensuring every detection includes the rationale, evidence, and audit trail behind each decision. This transparency builds analyst confidence and accelerates skill development, particularly valuable as GCC nations continue building local cybersecurity talent and operational maturity.

Intelligence Closes the Gaps Left by Controls

Even with modern defenses in place, critical gaps remain. Studies show that many endpoint detection and response (EDR) solutions still miss up to 30% of advanced threats, thanks to sophisticated evasion techniques, configuration gaps, or partial visibility. Firewalls suffer similar challenges: misconfigurations and limited context allow adversaries to slip past perimeter defenses.

This is where intelligence plays a decisive role. By unifying diverse telemetry and correlating billions of daily security events, modern security analytics platforms fill these blind spots, delivering full-spectrum detection across hybrid environments. For critical infrastructure, financial institutions, and government entities in the GCC, closing these gaps is no longer optional — it is a resilience imperative.

Agentless, Serverless, Effortless

Managing thousands of endpoint agents introduces complexity, operational risk, and resource overhead. Cloud-native platforms eliminate much of this friction by integrating directly with cloud platforms, SaaS services, and enterprise infrastructure via secure APIs, allowing telemetry ingestion without deploying additional agents.

For organizations balancing hybrid complexity with cloud-first strategies, agentless deployment models dramatically simplify operations — enabling faster rollout, lower risk, and greater agility.

Why the GCC Is Uniquely Positioned to Lead

The UAE, Saudi Arabia, and neighboring GCC nations are investing heavily in smart cities, digital economies, and next-generation public services. These national ambitions require security platforms that are scalable, adaptive, intelligent, and capable of evolving alongside rapid technological change.

Cloud-native, AI-powered, intelligence-driven security operations are no longer a distant vision but an operational necessity. By embracing these architectures, GCC enterprises and governments are positioned not only to meet today’s security demands, but to set a global standard for the future of cyber defense.

The time to shift from fragmented controls to unified intelligence is now. The future of security isn’t about deploying more tools — it’s about building smarter platforms.

And the GCC is ready.

Wei Huang is the Chief Technology Officer at Anomali, a global leader in intelligence-driven cybersecurity solutions.

Continue Reading

Tech Features

Shure’s Growth Story in the Middle East and Beyond

Published

on

Shure Axient Digital PSM

As the region accelerates its digital and cultural transformation, professional audio will only grow in importance.

By Yassine Mannai, Associate Director Sales, Shure MEA

A portrait of Yassine Mannai, associate director sales, Shure MEA
Yassine Mannai, Associate Director Sales, Shure MEA

The Middle East and Africa (MEA) region is witnessing an extraordinary moment of profound transformation as nations continue to reimagine their respective economies. Cities across this vibrant region are increasingly positioning themselves as global hubs, anchored on rapid technological shifts. From national diversification agendas such as Saudi Arabia’s Vision 2030 to the UAE’s expanding cultural economy and Africa’s urbanization, the region is rethinking how it communicates, collaborates, and entertains. Against this backdrop, professional audio integration has emerged as the key enabler. Pro audio is no longer viewed as luxury; it has become a strategic pillar of productivity, culture, and trust.

For Shure, this represents fertile ground for growth. The company’s trajectory in the region is anchored on a clear multi-prong approach: sustainable value creation through localization, strong partnerships, and continuous education. Rather than chasing short-term wins, the focus is on building strong ecosystems where audio technology empowers organizations to achieve their ambitions.

A Partner in Regional Growth

Demand for professional audio is being fueled by three key drivers. First, the large-scale investments in infrastructure and cultural projects trend in the region is creating an appetite for reliable, scalable audio solutions. Second, with hybrid work and learning still active, audio systems now serve as must-have tools for collaboration, ensuring clarity and engagement. Third, the entertainment and events industry continues to flourish, with audiences expecting immersive sound experiences with emotional connection.

Shure’s presence in conferences, cultural centers, and classrooms underscores its adaptability. By aligning closely with each sector’s needs, the company is not just supplying equipment – it is shaping how people experience communication and culture. Providing the ultimate IT and meeting room solutions is one thing, ensuring that end-user requirements in meeting spaces are consistently met is where the rubber meets the road, which makes factors such as quality, form factor, and smart solutions that leverage technology for seamless integration crucial.

A Strategy Anchored on Three Pillars

Shure’s growth blueprint rests on localization, partnerships, and education.

  • Localization ensures that global standards are adapted to regional requirements. A broadcaster in Abu Dhabi may demand wireless mobility, while a university in Riyadh seeks scalable, user-friendly systems. Meeting these nuanced needs requires agility and customization.
  • Partnerships with distributors, integrators, and resellers expand reach and sustain service excellence. These trusted relationships are critical to delivering value on the ground.
  • Education equips professionals with the right skills to maximize technology investments. Through training initiatives, Shure empowers AV specialists to deploy and maintain systems effectively, ensuring customers achieve long-term returns.

Technology and Innovation at the Forefront

We strongly believe that the future of audio in the region will be shaped by three defining trends.

  • Immersive experiences are becoming a cultural norm, and audio must now create impact as much as it delivers clarity.
  • AI and intelligent systems are moving from concept to reality making adaptive audio that responds to its environment the way to go.
  • Hybrid environments will remain central to work and education even as physical and virtual interactions merge with audio determining whether collaboration succeeds or fails.

A century of sound, a future of possibility

This year, Shure marks its 100-year anniversary. Few technology brands reach such a milestone, and fewer still do so with their reputation for quality and trust intact. For customers and partners in MEA and beyond, the centennial is not merely a celebration of heritage. It is a reassurance that Shure’s next century will be guided by the same principles that made it a global leader – with innovation, reliability, and customer focus at the core.

As the region accelerates its digital and cultural transformation, professional audio will only grow in importance. For IT leaders, this means viewing sound not as an afterthought, but as a strategic layer of infrastructure – one that underscores effective communication, collaboration, and connection.

Shure’s growth story is far from complete. The company’s next chapter is being written in partnership with the region’s institutions and enterprises. And in an age where voices need to be heard clearly across physical and digital spaces, Shure’s mission remains simple: to deliver sound that empowers progress.

Continue Reading

Trending

Copyright © 2023 | The Integrator