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Achieve Health Equity With Artificial Intelligence

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Dr. Jassim Haji, chairman of the International Group of Artificial Intelligence (IGOAI) and a researcher in technology and AI, writes a cover feature on the transformational prospects of the healthcare sector besides the adoption of AI into patient care.

The use of artificial intelligence (AI) in healthcare was not adequate and much less compared with commercial verticals especially in modern societies, such as the United States, China, and Europe. Had there been the modern technologies used efficiently in hospitals, research labs, patient care units, and drug development centers earlier, we could have saved many lives that the COVID-19 pandemic claimed.

Concerns from similar and diverse angles had been raised by global expert communities and they were inviting the attention of various government authorities, state agencies, and private companies. Incorporating all of it, the International Group of Artificial Intelligence (IGOAI), a community of academics, students, CIOs, members of global AI associations, and professionals who engage with AI, successfully hosted a virtual summit on “The Artificial Intelligence in Healthcare” on 29th June 2022 with the theme of “AI simplifies the lives of patients, doctors, and hospital administrators by performing tasks that are typically done by humans, but in less time and at a fraction of the cost.”

Dr. Jassim Haji, Chairman, IGOAI

The following article refers to the key areas of AI that were analyzed during the summit and they would ideally catalyze further discussions on the subject.

Supports Medical Imaging Analysis

AI is used as a tool for case triage. It supports a clinician reviewing images and scans. This enables radiologists or cardiologists to identify essential insights for prioritizing critical cases, avoid potential errors in reading electronic health records (EHRs), and establish more precise diagnoses.

Builds Complex And Consolidated Platforms For Drug Discovery

AI algorithms can identify new drug applications, tracing their toxic potential as well as their mechanisms of action. This technology led to the foundation of a drug discovery platform that enables the company to repurpose existing drugs and bioactive compounds.

Forecast Kidney Disease

Acute kidney injury can be difficult to detect by clinicians but can cause patients to deteriorate very fast and become life-threatening. With an estimated 11% of deaths in hospitals following a failure to identify and treat patients, the early prediction and treatment of these cases can have a huge impact to reduce life-long treatment and the cost of kidney dialysis.

Provides Valuable Assistance to Emergency Medical Staff

During a sudden heart attack, the time between the 911 or 999 call to the ambulance arrival is crucial for recovery. For an increased chance of survival, emergency dispatchers must be able to recognize the symptoms of a cardiac arrest to take appropriate measures. AI can analyze both verbal and nonverbal clues to establish a diagnosis from a distance.

Supports Health Equity

The AI and ML industry has the responsibility to design healthcare systems and tools that ensure fairness and equality are met, both in data science and in clinical studies, to deliver the best possible health outcomes. With more use of ML algorithms in various areas of medicine, the risk of health inequities can occur.

Natural Language Processing

Making sense of human language has been a goal of AI researchers since the 1950s. This field, NLP, includes applications such as speech recognition, text analysis, translation, and other goals related to language.

There are two basic approaches to it: statistical and semantic NLP. Statistical NLP is based on machine learning and has contributed to a recent increase in the accuracy of recognition. It requires a large “corpus” or body of language from which to learn.

Rule-Based Expert Systems

Expert systems based on collections of “if-then” rules were the dominant technology for AI in the 1980s and were widely used commercially in that and later periods. In healthcare, they were widely employed for “clinical decision support” purposes over the last couple of decades and are still in wide use today. Many electronic health records (EHR) providers furnish a set of rules with their systems today.

Physical Robots

Physical robots are well known by this point, given that more than 200,000 industrial robots are installed each year around the world. They perform pre-defined tasks, such as lifting, repositioning, welding, or assembling objects in places like factories and warehouses and delivering supplies in hospitals. Recently, robots have become more collaborative with humans and are more easily trained by moving them through the desired task. They are also becoming more intelligent, as other AI capabilities are being embedded in their “brains.”

Robotic Process Automation

This technology performs structured digital tasks for administrative purposes, i.e., those involving information systems, as if they were a human user following a script or rules. Compared to other forms of AI they are inexpensive, easy to program, and transparent in their actions. Robotic process automation (RPA) doesn’t involve robots – only computer programs on servers. It relies on a combination of workflow, business rules, and “presentation layer” integration with information systems to act like a semi-intelligent user of the systems. In healthcare, they are used for repetitive tasks like prior authorization, updating patient records, or billing.

Patient Engagement And Adherence Applications

Patient engagement and adherence have long been seen as the ‘last mile”’ problem of healthcare – the final barrier between ineffective and good health outcomes. The more patients proactively participate in their well-being and care, the better the outcomes – utilization, financial outcomes, and member experience. These factors are increasingly being addressed by big data and AI.

Administrative Applications

There are also a great many administrative applications in healthcare. The use of AI is somewhat less potentially revolutionary in this domain as compared to patient care, but it can provide substantial efficiencies.

International Group of Artificial Intelligence (IGOAI) was established in 2021 to create global awareness about artificial intelligence (AI). It disseminates learning about AI through global summits and conferences by articulating potential algorithm-based biases, security gaps, and other key areas that need feedback and scrutiny.

Cover Story

UAE Investors Want More Than Just Trading Apps

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Traders’ Hub’s Michael Barbour on investor trust, technology, and the future of finance in the Gulf.

BY SRIJITH KN FOR FINANCIAL INTEGRATOR

Over the past few years, investor participation across the region has evolved beyond speculative trading activity into something far more structured, technology-driven, and institutionally aligned. Retail traders are becoming increasingly sophisticated, expectations around transparency and execution quality are rising, and financial platforms are under pressure to offer far more than simple market access.

The speculative frenzy that once defined large parts of retail trading is gradually giving way to a more measured investor mindset, shaped largely by regulation, financial awareness, and long-term wealth preservation rather than short-term market excitement.

In this changing landscape, brokerage firms are no longer positioning themselves purely as trading providers. Instead, many are beginning to evolve into broader financial ecosystems, combining infrastructure, education, technology, regulatory credibility, and long-term investment access into a single platform experience.

For UAE-based firms such as Traders’ Hub Capital Markets, this shift represents more than market expansion. It signals a transformation in how the region’s next generation of investors may engage with financial markets altogether.

Founded in 2022 and headquartered in Abu Dhabi, Traders’ Hub has rapidly positioned itself as a locally regulated, technology-enabled brokerage focused on transparency, multi-asset access, and client-centric trading infrastructure.

Today, the company offers access to more than 2,000 instruments across forex, commodities, equities, indices, and cryptocurrencies, while simultaneously preparing for a broader move into wealth management and long-term investment services.

But the story surrounding Traders’ Hub is not simply about growth.

It is also about the wider evolution of the UAE’s financial ecosystem itself.

THE SHIFT IN UAE INVESTOR CULTURE

Across the GCC, financial participation is changing shape.

The rapid rise of digital platforms, increasing financial literacy, regulatory modernization, and mobile-first investing have fundamentally altered how younger investors interact with markets.

In parallel, the UAE has continued strengthening its position as a regional financial hub, attracting capital, fintech innovation, institutional activity, and globally mobile investors seeking regulated access to international markets. This transformation has also created new expectations.

Today’s investors are increasingly prioritising transparency, regulatory protection, execution quality, multi-asset accessibility, and seamless digital experiences.

In many ways, expectations around trading platforms are beginning to resemble expectations traditionally associated with banking and wealth management institutions.

According to Michael Barbour, Head of Product Implementation at Traders’ Hub Capital Markets, these changes reflect a deeper transformation in investor behaviour itself.

Investors increasingly seek integrated, trustworthy financial ecosystems prioritising long-term value, convenience, and institutional-grade service.”

Over the past five years, the psychological profile of the UAE investor has gradually shifted from short-term speculation toward a far more informed, disciplined, and globally aware mindset. Earlier retail participation was often driven primarily by leverage, speed, and short-term market movements. Today, however, younger investors across the UAE are becoming more research-driven, risk-conscious, and focused on long-term wealth creation rather than impulsive trading behaviour.

Modern traders are also seeking far more than market access alone. Transparency, educational support, analytical tools, platform stability, and institutional credibility are becoming increasingly important components of the investor experience itself.

FROM SCOTLAND TO GULF CAPITAL MARKETS

Long before helping shape the growth trajectory of Traders’ Hub Capital Markets, Michael Barbour’s early ambitions were far removed from financial markets.

Growing up in Stonehaven, a small Scottish town south of Aberdeen, he originally aspired to become a professional footballer, eventually playing semi-professionally before moving into finance.

His early exposure to financial systems came during the 2008 financial crisis while working within the legal and asset management sector in Scotland, assisting major UK banking institutions in managing distressed real estate portfolios during one of the most volatile periods in modern financial history.

That experience, combined with his later move to the Middle East in 2011 and subsequent years at the Dubai Gold and Commodities Exchange (DGCX), helped shape a perspective grounded not only in trading infrastructure, but in how markets behave under pressure, uncertainty, and rapid transformation.

Today, that institutional perspective continues influencing Traders’ Hub’s broader focus on operational credibility, technology infrastructure, and long-term investor engagement across the UAE market.

BUILDING A LOCALLY ROOTED TRADING PLATFORM

One of Traders’ Hub’s strongest positioning advantages lies in its status as a UAE-regulated Category 1 Capital Markets Authority (CMA) licensed broker, one of the highest licensing classifications within the country’s financial ecosystem.

In a market where offshore platforms have historically dominated retail participation, regulatory credibility has become increasingly significant, particularly as investors grow more conscious of operational risk, fund protection, execution transparency, and long-term platform reliability.

Rather than positioning itself through aggressive speculative messaging, Traders’ Hub appears to be building its identity around institutional-grade infrastructure, operational discipline, and client alignment.

Its trading environment is built around a Straight Through Processing (STP) execution model, meaning trades are routed directly to liquidity providers rather than internally warehoused by the broker itself.

In increasingly crowded financial markets, brokerage differentiation is no longer being shaped purely by leverage offerings or execution speed. Investors across the UAE are becoming far more conscious of pricing transparency, liquidity structures, operational credibility, and how trades are ultimately executed, particularly as financial literacy continues maturing across the region.

According to Michael Barbour, many investors still misunderstand how brokerage models differ operationally, particularly around spreads, slippage, pricing structures, and conflicts of interest between market-making and STP environments.

For Barbour, transparency itself is becoming a defining factor in long-term investor confidence.

Modern investors are also becoming more selective around how brokers disclose execution policies, fee structures, liquidity relationships, and client fund protections. In many ways, execution architecture itself is increasingly becoming part of the trust equation.

For regulated regional firms such as Traders’ Hub, this shift may ultimately represent a broader advantage. As investor sophistication continues evolving across the UAE, operational credibility and institutional transparency are beginning to matter as much as platform functionality itself.

FROM BROKERAGE TO FINANCIAL ECOSYSTEM

The transition from Traders’ Hub Currency Brokerage to Traders’ Hub Capital Markets reflects more than a naming evolution. It signals a broader ambition to position the company as a longer-term financial institution within the UAE’s evolving investment ecosystem.

Globally, the distinction between trading platforms, investment platforms, and wealth management ecosystems is beginning to blur. Increasingly, investors no longer want fragmented financial experiences spread across multiple platforms. Instead, they are seeking connected environments capable of combining active trading, long-term investing, financial planning, analytics, and educational support within a single ecosystem.

For Traders’ Hub, this transition also reflects an effort to solve a longstanding regional friction point: the difficulty many UAE investors face when moving between active trading and structured long-term wealth accumulation.

“The modern investor no longer wants isolated trading access. They want a complete financial environment,” says Barbour.

The company’s planned expansion into wealth management and broader investment services reflects a wider regional shift toward more integrated financial participation models.

TECHNOLOGY, AI, AND THE NEXT INVESTOR EXPERIENCE

As trading platforms become increasingly automated and algorithmically assisted, the financial industry is also confronting a deeper question: how much of investing should remain human?

Technology is rapidly becoming the defining layer of modern financial platforms, from AI-assisted analytics and mobile-first investing experiences to increasingly sophisticated execution infrastructure.

But while automation can enhance speed and efficiency, long-term investing still remains deeply shaped by human behaviour itself. Markets continue being influenced by fear, overconfidence, emotional reaction, and risk perception, factors technology alone cannot fully eliminate.

One potential differentiator for firms such as Traders’ Hub may therefore lie in how effectively they balance algorithmic intelligence with human judgement.

EDUCATION, TRUST, AND LONG-TERM ENGAGEMENT

As trading participation expands across the GCC, financial platforms are increasingly carrying responsibilities extending far beyond market access alone.

While digital platforms have lowered barriers into global financial markets, they have also intensified conversations around behavioural investing, financial literacy, emotional discipline, and long-term risk awareness.

Increasingly, sustainable platform growth may depend not only on user acquisition, but on trust, transparency, and investor education itself.

In the GCC particularly, where retail participation continues expanding rapidly, financial firms are beginning to recognise their role in shaping long-term investor behaviour and financial understanding.

THE NEXT PHASE OF REGIONAL FINANCE

The UAE’s financial landscape is evolving rapidly.

As regulation strengthens, investor sophistication increases, and technology continues reshaping how capital moves through markets, financial platforms and capital markets institutions are being forced to rethink what they represent within the broader financial ecosystem.

The company’s broader direction, spanning infrastructure investment, wealth management expansion, AI integration, mobile accessibility, and educational initiatives, reflects a wider regional transition toward more mature, technology-enabled financial participation.

 Barbour believes the future of finance will increasingly belong to intelligent platforms capable of combining technology, trust, education, accessibility, and long-term wealth creation into a unified experience.

Whether this next generation of financial platforms ultimately succeeds will depend not only on execution speed or product breadth, but on something far more enduring: trust.

And in an increasingly crowded financial landscape, trust may ultimately become the most valuable asset of all.

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The Shift to Unified Content Workflows Is Redefining Enterprise Media!

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By: Srijith KN


Walk into any modern content setup today, whether it’s a podcast studio, a corporate webinar room, or a hybrid event environment, and you’ll see a familiar pattern, one that reflects how fragmented the content production stack has become.

A microphone connected to an interface.
An interface connected to a laptop.
A laptop running multiple layers of software to mix, switch, stream, and record.

It works, but it’s rarely seamless.

Because the biggest challenge in content creation today isn’t access to tools, it’s understanding how they all fit together.

The Real Problem: Too Many Tools, Too Little Clarity

The rise of podcasting and video content has created a new kind of friction. Users are no longer asking what they can create; they are asking how to make the tools work together.

Recording audio separately, syncing video later, transferring large files to high-end machines, and relying on multiple software layers have become the default workflow. It works, but it is inefficient, expensive, and prone to failure.

The expanding ecosystem of devices, features, and formats has made even basic setup decisions unnecessarily complex.

When it comes to products from RØDE, users & creators already recognize the product’s potential to simply clarify and help elevate the overall workflow experience.

From Tools to Unified Systems

This is where the shift begins to stand out.

What we are seeing is not simply the addition of new features, but the consolidation of functions.

Mixer. Recorder. Audio interface. Video switcher. Stream encoder.

What traditionally required a stack of hardware and software is now being brought into a single console environment.

For creators, that simplifies production.

For enterprises, it changes how content infrastructure is designed.

As this shift gains momentum, it is also being acknowledged at a leadership level.

“Real innovation isn’t about adding more; it’s about removing friction and enhancing workflows.

With the introduction of platforms like the RØDECaster Video, we’re starting to see audio and video unified in one system, unlocking faster, more focused creative output.”

Kalinda Atkinson,
Global Marketing Director, RØDE

Why This Matters Beyond Creators

This shift is not limited to podcasters or streamers. Enterprises are increasingly building in-house content studios, executive communication channels, internal video platforms, and hybrid event capabilities as part of their broader communication strategy.

In these environments, complexity quickly becomes a bottleneck. Multiple tools often translate into longer setup times, increased points of failure, and a growing dependency on technical operators to manage what should ideally be straightforward workflows.

A unified system begins to reduce that friction, allowing teams to focus less on managing the process and more on the output itself.

The End of the Laptop-Centric Setup

One of the most significant changes is subtle: the laptop is no longer central.

With recording, streaming, and switching built directly into the console, content can now be produced without relying on external software or intermediary platforms. Audio and video routing happens natively within the system, removing the need to manage multiple layers of tools.

This, in turn, reduces reliance on tools like OBS Studio and lowers the need for high-performance machines in the production chain.

Broadcast Capabilities, Simplified

Features that were once limited to broadcast environments are now being integrated directly into compact systems. Capabilities such as multi-camera switching, ISO recording with separate tracks for each input, audio-based automatic switching between speakers, and network-driven video workflows like NDI are no longer confined to high-end production setups.

For enterprise teams, this translates into professional-grade production without the need for dedicated control rooms or complex broadcast infrastructure.

Modularity Signals Long-Term Thinking

Another important shift lies in how these systems evolve over time.

With expansion options such as adding video capabilities to existing audio consoles, RØDE is enabling a more modular approach to production. Instead of replacing entire systems, users can extend them based on their needs.

This becomes particularly relevant for organizations that may begin with audio-first content using consoles such as the RØDECaster Duo or RØDECaster Pro II, gradually expanding into video production with consoles such as RØDECaster Video, RØDECaster Video S, or even the RØDECaster Core, and scaling internal media capabilities over time. The result is a more flexible investment model that reduces upfront costs while supporting long-term growth.

A Shift in the Competitive Landscape

On the surface, this still appears to sit within the audio hardware category. In practice, however, it competes with something far broader.

As these systems begin to handle capture, processing, and output within a single environment, they start to overlap with production software ecosystems, video switching platforms, and content workflow tools.

The implication is clear: when orchestration happens within the system itself, the need for external layers begins to diminish.

The Opportunity Ahead

As the layers of complexity fade, creators will have more time for creative storytelling and less time worrying about the setup.

The new products and technology from RØDE not only remove setup barriers, but they also enable creators & enterprises to operate at a full professional standard, accelerating both the creativity and innovation ecosystems.

Srijith KN covers enterprise technology, media infrastructure, and digital transformation across the Middle East.
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Cover Story

Cloud waste isn’t about Visibility it’s about Timing, says Atmoz CEO

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“Cloud waste isn’t created by bad engineers. It’s created by systems that show problems too late. Once I saw that, it became clear, the solution wasn’t better reporting. It was prevention.” – Atmoz CEO Yael Shatzky

Yael Shatzky didn’t set out to build a company around cloud costs. What she noticed, after more than 25 years across enterprise technology, product marketing, and growth at organisations including Amdocs and Microsoft’s R&D ecosystem, was a pattern.

Not just rising cloud spend, but a deeper structural disconnect in how it’s managed.

If you were introducing yourself and Atmoz to someone outside tech, where would you begin?

I’d say I’m building a company that changes how people think about waste—specifically cloud and AI waste.

Imagine a house where electricity prices constantly change depending on what you use and when, but no one knows the cost. Lights stay on, AC runs all day, and while you know you’re wasting about 30%, you have no way to prevent it. The only signal you get is last month’s bill.

That’s how companies operate in the cloud today.

Atmoz changes that by bringing cost awareness into the moment decisions are made, helping teams make smarter choices without disrupting how they work. The result is simple: waste is prevented before it happens.

What is the core problem Atmoz is solving—and where has the market gone wrong?

The market has focused on visibility, dashboards and reports that explain what already happened.

But the problem isn’t visibility.
It’s timing.

By the time companies see the data, the money is already spent and systems are already in production. Even with perfect visibility, nothing changes.

Atmoz works at the moment engineers are building, engaging them with immediate, simple recommendations that don’t slow them down. That’s where prevention becomes possible.

What does ‘AI-first’ product development look like at Atmoz?

We built a data foundation that reconstructs cost signals as resources are created, before billing data exists. That’s the hard part.

On top of that, we use AI where it matters most: interaction and execution. Our AI agent takes accurate, contextual data and delivers actionable recommendations directly within developer workflows.

Because the system is grounded in precise data, the guidance isn’t just intelligent, it’s reliable and immediately usable.

What are the biggest challenges in getting engineers to trust AI-driven recommendations?

Interestingly, it’s not trust in AI, it’s the belief that prevention is even possible.

For years, companies have been told they can reduce costs, yet around 30% of cloud spend is still wasted. That’s because most tools analyse waste after it happens, they don’t stop it.

Once engineers see an issue flagged in real time, with clear context and a simple fix, the skepticism disappears. It becomes tangible.

What is one leadership mistake that fundamentally changed how you operate?

Focusing too much on the product, and not enough on marketing early on.

Great products don’t speak for themselves, especially when you’re creating a new category. Marketing isn’t something you layer on later; it shapes how the product is understood and adopted. Starting early makes a significant difference.

Where do you see the biggest inefficiencies today?

The biggest inefficiency is the disconnect between engineering decisions and their financial impact.

Every time a developer deploys infrastructure or triggers an AI workload, they’re making a financial decision, without visibility into its cost implications.

AI is amplifying this. Costs are more volatile, and traditional feedback loops can’t keep up.

Atmoz brings cost awareness into that decision point, making efficiency part of the engineering discipline, much like security became over time.

At this stage, how do you define success?

Success isn’t a single milestone, it’s a series of moments.

Signing a new customer. Launching a capability that impacts spend. Getting a call from a customer excited because they just saved $30K on something they didn’t even know was happening.

Those moments are what drive us forward.

You’re defining a new category. What does it take to change long-held assumptions?

It starts with conviction. You’re asking people to question something they’ve accepted as normal.

But conviction alone isn’t enough, proof is everything. Category change happens when someone sees it working in their own environment and has that “aha” moment.

That’s why we focus on immediate, tangible value. When waste is prevented in real time, the mindset shift follows naturally.

Resilience also matters. When you challenge established models, you will be dismissed. The key is to stay grounded in the problem and keep showing evidence.

Has the industry been solving cloud waste the wrong way? Why hasn’t it changed?

I wouldn’t say wrong, FinOps tools solved the problem they were designed for. They brought visibility and governance, which was critical.

But they were built on the assumption that cost is something you analyse after it happens.

Today, cost is created instantly, when infrastructure is provisioned or AI workloads run. But feedback still comes later. That gap is the issue.

What’s changed is the pace of engineering. With AI, decisions are faster and costs are more dynamic. What used to be inefficient is now unsustainable.

That’s why prevention isn’t just an improvement, it’s becoming essential.

How will engineering teams work differently in five years?

Cost will no longer be treated as something external, owned by finance. It will become part of the engineering feedback loop, like performance or reliability.

Atmoz brings that awareness into everyday workflows, guiding better decisions without adding friction.

Over time, this shifts behaviour. Waste isn’t something you detect and fix later, it simply doesn’t get created.

The result is not just lower cost, but faster teams, better decisions, and more room to innovate.

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