Tech Features
2026 forecast: AI will stop being a buzzword and start running businesses
By Jadd Elliot Dib, Founder and CEO, PangaeaX
The AI boom of the 2020s has dominated news headlines, and businesses in virtually every industry have sought to harness AI to strengthen productivity and profitability. In many cases, the transformation promised by AI often stalled at experiments and prototypes, resulting in AI being perceived as a buzzword.

This will begin to change in 2026. AI will become less of a buzzword and more of the backbone of business operations. Processes that previously took hours or days will be reduced to minutes or even seconds. Success will not be brought by flashy tools, but by embedding AI into the everyday fabric of work to drive real revenue, cut costs, and outpace competitors. Additionally, at the core of any successful AI implementation is high-quality data. The companies that thrive will be those that clean up their data and embrace AI as a true business partner, not just a side project or marketing slogan.
What industries will feel this change first?
While the impact will be far-reaching, several industries are expected to benefit from the transformative shift earlier. For example, AI will enable healthcare providers to diagnose disorders faster and more accurately. Predictive analytics uses historical and real-time data to forecast future health outcomes, identify at-risk patients, and optimize operations. Shifting care from reactive to proactive will improve public health and increase the effectiveness of treatments.
The logistics industry will receive a huge boost from data analytics and AI. Businesses can use AI to aid in smarter route planning, resulting in fewer delivery delays. AI transforms raw supply chain information into actionable insights, and this data-driven approach moves logistics from guesswork to precise, real-time management for better resource use and competitive advantage.
Likewise, banks and financial companies are increasingly using AI-powered tools to improve fraud detection and risk management decisions. Retailers, especially in e-commerce, will be able to give customers better product suggestions and automatically adjust prices in response to fast-changing market conditions.
Predictive analytics will take back the spotlight from generative AI
Generative AI is the most discussed form of AI, accompanied by various discussions on its ethics and some degree of controversy. However, in the coming year, predictive analytics will become more widely known to the public, as its effects become more visible. AI-powered predictive analytics tools help businesses plan further ahead than previously possible, giving a more accurate picture of future demand, sales, and risks. Additionally, predictive analytics programs are more reliable, cheaper, and easier to explain to a layperson. Businesses want results and that puts predictive analytics back on top. Despite that, generative AI should not be totally discounted. Businesses that can successfully use both are more likely to succeed, with predictive analytics providing guidance and generative AI enabling automatic action.
Data security to become a higher priority
One of the most important topics in the new frontier of AI is data security. While AI offers powerful benefits, it also introduces new vulnerabilities and is increasingly weaponized by threat actors. As a result, in 2026, AI companies will lean more toward tighter control of data. In the past decade, there have been many high-profile data breaches, demonstrating the huge risk posed by poor data security. Moving forward, data and AI companies will adopt a need-to-know approach, ensuring that individuals will only get access to specific data based on their role.
AI companies will build safer systems that allow people to use data without exposing all sensitive information. This will be very important in highly regulated sectors, such as banking, healthcare, and government. While other sectors such as tech or retail may be more flexible, security is still crucial as violations can result in major penalties and reputation loss. In 2026, companies will have a goal of widening access to data but with more safeguards in place.
Automation will change how organizations work with data
In past years, the novelty of AI and misunderstanding of its capabilities have caused many organizations and individuals to misuse it, often outsourcing too much of the thinking to AI. In 2026, many businesses will correct their course, using AI to do repetitive tasks while having humans think using their superior capacity for creativity, emotional intelligence, and contextual understanding.
The development of agentic AI will introduce AI helpers that will take over routine and ‘boring’ tasks such as cleaning data or fixing errors. Data teams will spend less time on coding pipelines, with AI freeing up their time to solve business problems. AI will also make various digital tools easier to use, which means even people without advanced degrees and credentials can work with data analytics and AI. However, companies will still need specialists for complex AI, security, and architecture. These experts’ roles are not disappearing but shifting towards high-value strategic oversight.
Businesses will see through the hype and focus on results
With more businesses gaining a better understanding of data analytics and AI, 2026 won’t be about chasing the next shiny AI trend. Instead, it will be about delivering measurable business impact. Companies that integrate AI into their core operations, clean up their data, and strike the right balance between predictive and generative capabilities will lead the pack. On the other hand, those that cling to old models or treat AI as window dressing will fall behind. The future belongs to businesses that see AI not as a tool, but as a strategic partner that accelerates decisions, safeguards data, and frees humans to focus on what matters most: thinking big and solving complex problems.
Tech Features
The Middle East’s Digital Boom Is Creating A New Visibility Challenge
By Gaurav Mohan, SVP Sales – APAC, India, Middle East & Africa, NETSCOUT
The Middle East is building one of the world’s most advanced digital economies. Across the UAE, Saudi Arabia, Qatar and the wider Gulf, artificial intelligence is moving from experimentation into production. Sovereign cloud strategies are reshaping infrastructure. 5G is powering smart cities,, autonomous services and new digital business models. Yet as organisations accelerate innovation, many are struggling to maintain visibility across these digital infrastructures that gives them the knowledge they need to manage, control and protect their business.
Today’s digital services rarely operate within a single environment. Applications, workloads and services are spread across sovereign clouds, hyperscalers, regional data centres, telecommunications networks and edge environments, each generating its own telemetry, tools and operational workflows. As a result, organisations often gain more data but less understanding of how their services actually behave end to end.
According to Enterprise Management Associates’ Network Management Megatrends 2026 report, 51 percent of enterprises now manage four or more distinct network domains, 38 percent of organisations lack end-to-end visibility across their network domains and even 24 percent acknowledge having areas where their monitoring tools cannot see at all. This highlights a growing paradox that organisations are rich in data but poor in visibility.
That means decisions are made using incomplete information. Incident response slows down, operational risk increases, and it becomes even harder to protect the customer experience. In the Gulf, the challenge is particularly relevant. As data is increasingly localised to meet regulatory obligations, applications and workloads naturally cluster around where that data resides. While this strengthens governance and compliance, it can also fragment visibility if organisations lack a consistent view across multiple environments.
Often the most valuable operational and security information never travels between users and applications. It moves silently between cloud workloads, databases, APIs and servvices inside the infrastructure itself. If organisations cannot observe and understand these interactions, they miss the activity that often matters most.
The conversation is no longer simply about visibility. It is about whether organisations can trust the data used to make operational and AI-driven decisions. The question that must be answered is do they have the trusted operational data that is the authoriative network evidence that gives them the certainty they need to make better, smarter decisions – faster.
High-fidelity network data provides a more accurate and consistent view of network activity, helping teams fill the gaps left by logs, metrics and sampled telemetry. It enables organisations to move beyond assumptions and approximations, allowing teams to understand events as they occur and investigate them with confidence.
The most authoritative source of network intelligence comes directly from network packets, providing an independent record of how applications, infrastructure and users actually interact. Rather than relying solely on sampled metrics or instrumented logs, it gives teams evidence grounded in observed network activity. The result is a clearer understanding of both operational and security events.
In the Middle East, where regulatory expectations continue to evolve and data sovereignty remains a priority, that level of accuracy carries particular importance. Organisations are increasingly expected to demonstrate resilience, accountability and operational transparency. Meeting those expectations becomes significantly harder when visibility is incomplete.
AI does not eliminate operational uncertaity. In fact, it magnifies and can force-multiply whatever uncertainty already exists. Feed AI incomplete or inconsistent data and it simply automates bad decisions faster. Feed it complete, contextual and trusted network intelligence, and AI becomes more accurate, responsive and reliable.
The Middle East has invested heavily in building world-class digital infrastructure. As AI, sovereign cloud and connected services continue to expand, organisations tha combine comprehensive visibility with trusted, high-fidelity network intelligence will be able to thrive. In the next phase of digital transformation, success will be defined not simply by how much infrastructure organizations build, but by how clearly they can see, understand and act across it with confidence.
Tech Features
WHY EXCEPTIONS, NOT INVOICES, ARE COSTING FINANCE TEAMS THE MOST

By Ionut Valentin Sas, SVP Finance, UiPath
Across the GCC, processing standard invoices has become relatively straightforward. Routine invoices are no longer the problem. The real bottleneck begins the moment an invoice falls outside the expected workflow, whether that is a mismatched PO, a missing approval, incorrect coding or a supplier query. From there, the process spills into email threads and spreadsheets, and finance teams pay for it in delayed cash flow, missed early payment discounts, strained supplier relationships and tied-up working capital. The invoice itself was never really the problem. The problem is what happens when it does not follow the usual pattern.
The Trouble with Exceptions
Straight-through processing, where an invoice moves from receipt to payment without human intervention, has been one of finance teams’ most effective ways to handle higher invoice volumes at lower cost. Companies like Canon have reported up to 90 percent STP for certain invoice types.
Yet according to Ardent Partners’ State of ePayables report, even top-performing AP teams only reach around a third. That gap reflects a shift already under way in accounts payable. As routine invoices increasingly process themselves, less time goes into verifying standard transactions, and more of the team’s effort shifts toward judgment, coordination and resolving what falls outside the pattern, such as invoices missing a PO, mismatched purchase orders, supplier follow-ups and approval bottlenecks.
Most automation was built for the predictable majority of transactions. The remaining cases still get routed back to people, with no system designed to resolve them faster or more consistently. Resolving an exception often means pulling information together from ERP systems, procurement platforms, contracts, past transactions and supplier communications before a decision can be made. The challenge is rarely a lack of information. It’s that the information sits across multiple systems and requires someone to piece it together before a decision can be made. That’s where most of the time is lost.
Invoicing in the UAE
The UAE’s move toward mandatory e-invoicing is one of the clearest signals of this shift. For many organisations, this transition will expose processes that have remained largely hidden while invoices were handled manually. Standardised, machine-readable invoices make routine processing easier, but they also shine a light on the exceptions that continue to require human intervention. As a result, organisations have an opportunity to redesign how those exceptions are managed, rather than simply digitising existing processes. The mandate requires structured, machine-readable invoices in place of the PDFs and spreadsheets many finance teams still rely on, and it is pushing organisations to take a hard look at how they handle exceptions today.
Compliance is only the starting point. The bigger opportunity is using this transition to modernise broader finance operations and rethink how exceptions get managed, not just to meet the regulatory deadline.
The Importance of Governance
As more of this resolution work shifts to AI agents, visibility, auditability and control become essential. Governance is not there to slow decisions down. It is what gives organisations the confidence to automate lower risk work while keeping higher risk decisions transparent, explainable and subject to human oversight. Done well, orchestration keeps people in charge of decisions, not just faster at processing them. That becomes increasingly important as finance teams automate larger parts of the invoice lifecycle. Confidence in AI comes not from removing people altogether, but from knowing when human judgement should remain part of the process.
The UAE’s e-invoicing mandate makes this need for governance harder to ignore. But governance should not be seen as a brake on AI adoption. It is what makes that adoption trustworthy.
The Shift Finance Leaders Must Make
The old mindset was to automate invoices. The new one is to resolve exceptions.
That is the shift finance leaders now need to make, treating exception management as the next frontier in finance automation rather than an afterthought bolted onto invoice processing. The foundation for that shift is orchestration, bringing people, systems and AI agents together around each exception instead of simply flagging it for someone to pick up later.
AI agents can do much of the groundwork before a person is even involved, gathering supporting information, analysing how similar cases were resolved in the past, recommending next steps and drafting supplier communications. That does not replace judgment. It means the judgment that does happen is faster and better informed. The organisations that gain the greatest advantage will not necessarily be those processing the highest number of invoices automatically. They will be those that can resolve exceptions quickly, consistently and with the right level of oversight, turning what has traditionally been a source of delay into a competitive advantage. The GCC built its reputation in digital government and public services by fixing what was not working, not by polishing what already was. Finance now has the same opportunity in front of it. The invoices were never the hard part. The exceptions are, and the organisations that get ahead of them will be the ones setting the pace for the next phase of digital invoicing in the region.
Tech Features
THE BEAUTIFUL GAME, FOR EVERYONE: HOW TECHNOLOGY REWROTE THE RULES OF FOOTBALL FANDOM
By: Jason Ou, President at Hisense MEA
As the FIFA World Cup 2026 final approaches this week, we reflect on a tournament that transformed how millions experienced the sport, from living room stadiums to quiet spaces in packed arenas
As we count down the final hours before this week’s showpiece final, the FIFA World Cup 2026 has delivered 103 matches across 16 cities, and with it, a reimagining of what “experiencing football” means. Hisense served as the official and exclusive Video Assistant Referee (VAR) Review TV Provider for the entire tournament across the United States, Canada, and Mexico. Every controversial offside call. Every penalty review that had fans screaming at their screens. Every red card confirmation that shifted the momentum of a knockout match. The technology referees used to make those match-defining decisions ran on Hisense RGB MiniLED displays. The Video Operation Room in Zurich was upgraded specifically with these screens because VAR officials needed “clear and authentic restoration of live match footage.”
And it delivered.
Two parallel revolutions unfolded across this tournament: one that transformed homes into legitimate viewing destinations, and another that finally opened stadium doors to millions who’d been locked out for decades.
Hisense made an argument before kickoff: the home viewing experience could, in some ways, surpass what you’d get at the stadium itself. If the technology was precise enough for officiating decisions scrutinized by billions and debated across social media within seconds, it was good enough for living rooms worldwide.
For those who invested in the L9Q TriChroma Laser TV, everyday living spaces became premium match-day destinations throughout the tournament. With ultra-large displays up to 200 inches, fans followed every run, pass, tackle, and goal with remarkable clarity.
The flagship UXS RGB MiniLED TV, powered by breakthrough RGB MiniLED technology that delivers exceptional color accuracy, brightness, and contrast, brought fans closer to every moment on the pitch and created a more immersive and lifelike viewing experience for sports, entertainment, and gaming.
The Party Everyone Could Finally Join
For millions of fans living with autism, PTSD, dementia, anxiety, and other sensory processing conditions, the stadium experience had remained firmly out of reach, a party they could hear from outside but never truly join. This tournament changed that.
At this year’s tournament, all 16 host stadiums featured dedicated sensory rooms, making this the first-ever Sensory Inclusive FIFA World Cup. Hisense collaborated with FIFA and KultureCity to install these spaces across every venue in the United States, Canada, and Mexico, and they were used.
As Hisense continues pushing boundaries, making every match feel bigger, every celebration more immersive, and every memory more unforgettable, one truth has emerged from this tournament: the hierarchy of World Cup viewing has been expanded, making room for everyone who loves the beautiful game.
This week, as billions watch the final from living rooms with 300-inch screens and fans with sensory needs take their seats in the stadium, football’s promise will be fulfilled. The beautiful game. Finally, for everyone.
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