Turning AI Into Business Value

Turning AI Into Business Value

Balancing Cost, Speed, and Scale

IDC Middle East Virtual Roadshow

Overview

Across the GCC, AI continues to rank as a strategic priority. IDC research shows that AI implementation is a top priority for 66% of EMEA C-suite leaders in 2026, underscoring its growing role in enterprise transformation.

 

At the same time, the current geopolitical landscape is creating a more complex operating environment, marked by greater cost pressure, heightened risk sensitivity, and increased scrutiny of investment decisions.

 

For technology leaders in the region, the challenge now is to sustain AI momentum while delivering measurable business value amid rising uncertainty. In today’s environment, business and technology leaders must not only justify AI investments but also ensure their AI strategies are resilient in the face of operational, economic, and geopolitical disruption.

 

Join us for this exclusive IDC Virtual AI Roadshow to explore how organizations across the GCC can continue advancing their AI agendas while responding to rising geopolitical uncertainty and a more demanding investment climate.

Key Themes

Prioritize AI Deployments with Measurable ROI

Revalidate Cloud and Infrastructure Resilience

Strengthen Cyber Readiness

Reassess Data Governance, Sovereignty, and Compliance

Modernize Data Platforms for AI Readiness

Diversify Technology Supply Chains

Agenda

Turning AI Into Business Value

One Day Event

11:00 am

Welcome Address

11:05 am

IDC Keynote: From Disruption to Operational Readiness

In a more volatile environment, CIOs are being called to move beyond reaction and build technology organizations that are ready for disruption by design. This keynote will examine how resilience, sustained AI innovation, cloud strategy, and operational preparedness are becoming essential to maintaining continuity and confidence at scale.

11:20 am

Architecting for Data Sovereignty: Hybrid, Multi-Cloud, and Edge Strategies

11:35 am

Operationalizing AI: Bridging the Gap Between Data, Models & Business Impact

11:50 am

Optimizing Cloud for AI: Cost, Performance, and Scalability Considerations

12:05 pm

Securing the AI Enterprise: Managing Risk in an Intelligent Threat Landscape

12:20 pm

From Data to Value: How Enterprises are driving Business Impact in AI Era

12:35 pm

Driving Agility and Continuity Through Low-Code Adoption

12:50 pm

Gold Tracks (Parallel Sessions)

Track A

12:50 pm – 1:00 pm

Making Data Sovereignty Work in a More Uncertain Environment

1:00 pm – 1:10 pm

Building Trusted Data Foundations for Resilience

1:10 pm – 1:20 pm

Zero Trust: Redefining the Modern Security Perimeter

Track B

12:50 pm – 1:00 pm

Building Cloud Resilience for the AI-Driven Enterprise

1:00 pm – 1:10 pm

Resilient AI Infrastructure: Building for Performance, Cost, and Continuity

1:10 pm – 1:20 pm

Upskilling the workforce for the agentic era

1:20 pm

Summary & Takeaways, IDC

1:30 pm

Close of Event

Speakers

Matt Eastwood

Matt Eastwood

SVP, World Wide Research

IDC

Read Bio

Harish Dunakhe

Harish Dunakhe

Senior Research Director, Software & Cloud (META)

IDC

Read Bio

Shilpi Handa

Shilpi Handa

Associate Research Director (META)

IDC

Read Bio

Be Part of it!

Register Now

Knowledge Hub / Emre Özbey

Partner Spotlight

Emre Özsoy
Chief Automation Officer, Managing Partner
VBM
Partner Spotlight

Otomasyondan Otonomiye: İş Dünyasında Yeni Bir Akıl Birliği

Teknoloji dünyası, verimliliği sadece “hız” olarak tanımladığımız dönemi geride bırakıyor. Dijital dönüşümün ilk safhalarında RPA (Robotik Süreç Otomasyonu), operasyonel mükemmelliğin “elleri” olarak iş dünyasına büyük bir ivme kazandırdı. Ancak bugün, bu ellerin yanına AI Agent’ların (Yapay Zeka Ajanları) “akıl ve muhakeme” yeteneğini eklediğimiz yeni bir evreye geçiyoruz.

Peki, bu değişim iş dünyasına ne vaat ediyor?

RPA, kuralları önceden belirlenmiş süreçleri hatasız ve yorulmadan yöneterek kurumları manuel iş yükünün hantallığından kurtardı. AI Agent’lar ise bu yapıya adaptasyon kabiliyeti getiriyor. Artık sistemler sadece “eğer buysa, şunu yap” demiyor; veriyi okuyor, durumu analiz ediyor ve amaca ulaşmak için en uygun yolu kendi belirliyor.

Bu sinerjinin yarattığı reel değer üç temel sütun üzerinde yükseliyor:

1.Durağan Süreçlerden Dinamik Sistemlere: Standart iş akışları, AI Agent’ların öğrenme ve çıkarım yapma yeteneğiyle, değişen piyasa koşullarına ve veri akışına anlık uyum sağlayan otonom yapılara dönüşüyor.

2.Karar Mekanizmalarının Demokratikleşmesi: Karmaşık veri setleri içindeki anlamlı içgörüler, yapay zeka ajanları tarafından süzülerek karar vericilerin önüne hazır getiriliyor. Bu, kurumların en alt kademesinden en üst kademesine kadar stratejik çeviklik sağlıyor.

3.Yetenek Odaklı Yeni Çalışma Kültürü: İnsan kaynağı, rutin operasyonların operatörü olmaktan çıkıp; bu akıllı sistemlerin mimarı ve denetleyicisi konumuna yükseliyor. Bu da iş gücünün daha yaratıcı ve yüksek katma değerli alanlara odaklanmasına kapı açıyor.

Sonuç olarak; RPA’in disiplini ile AI Agent’ların esnekliği birleştiğinde, işletmeler sadece “otomatize edilmiş” değil, “akıllandırılmış” bir yapıya bürünüyor. Geleceğin rekabetçi dünyasında farkı, sadece teknolojiyi kullananlar değil, bu otonom iş birliğini kurum kültürünün merkezine yerleştirebilenler yaratacak.

Knowledge Hub / Vedat Uslu

Partner Spotlight

Vedat Uslu
General Manager
ICterra Information and Communication Technologies
Partner Spotlight

Bugün geldiğimiz noktada yazılım geliştirme, artık yalnızca kod yazmak değil; iş değerini en hızlı ve en akıllı şekilde üretebilme yetkinliği haline gelmiş durumda. Gözlemlediğimiz üzere, bu alanda fark yaratan organizasyonlar low-code platformları ve yapay zekâ destekli mühendislik yaklaşımlarını stratejik olarak konumlandıranlar oluyor. Artan hız ve esneklik ihtiyacı, kurumları klasik geliştirme yöntemlerinin ötesine taşırken; low-code, iş birimlerini sürecin aktif bir parçası haline getiriyor ve fikirlerin çok daha kısa sürede ürüne dönüşmesini sağlıyor. Yapay zekâ ise geliştirme ve test süreçlerinde önemli bir kırılım yaratarak; kod üretiminden hata öngörüsüne kadar yazılım yaşam döngüsünü daha akıllı, öngörülebilir ve verimli hale getiriyor.

Önümüzdeki dönemde kurumların odağının yalnızca hız olmayacağını; aynı zamanda akıllı, ölçeklenebilir ve kendi kendini iyileştirebilen sistemlere doğru evrileceğini düşünüyorum. Otonom test süreçleri, veri odaklı karar mekanizmaları ve modern mimari yaklaşımlar, dijital organizasyonların temel yapı taşları haline geliyor. Bu noktada asıl kritik başarı faktörü, teknolojiyi doğru platform, doğru mimari ve doğru yönetişim modeliyle bütünsel bir dönüşüme dönüştürebilmek olacaktır. Çünkü artık rekabet avantajı; daha fazla yazılım geliştirmekten değil, daha hızlı, daha akıllı ve daha doğru yazılım geliştirebilmekten geçiyor.

 

Turning AI Into Business Value

Turning AI Into Business Value

Balancing Cost, Speed, and Scale

IDC Middle East Virtual Roadshow

Overview

The UAE has emerged as one of the region’s most active AI economies, with enterprises showing a strong appetite for AI-led transformation. According to IDC, AI ranks among the country’s top digital investment priorities, with 78% of UAE organizations expected to increase AI and digital investments in 2026. The current geopolitical scenario, however, introduces a more complex operating environment shaped by greater cost pressure, risk sensitivity, and increased scrutiny of investment decisions.

For CIOs, the focus now is on sustaining AI momentum and delivering measurable business value amid increasing uncertainty. In today’s environment, business and technology leaders must not only justify AI investments but also ensure their AI strategies are resilient in the face of operational, economic, and geopolitical disruption.

Join us for this exclusive IDC Virtual AI Roadshow to explore how UAE organizations can continue advancing their AI agendas while responding to rising geopolitical uncertainty and a more demanding investment climate. Led by IDC’s top analysts and grounded in IDC’s extensive research on the impact of the current crisis, this session will dive deep into:

  • Aligning AI investments with business priorities and near-term ROI
  • Prioritizing lower-risk, high-value AI use cases
  • Balancing cloud cost, performance, and resilience
  • Strengthening data, governance, and sovereignty readiness
  • Building resilient AI operating models

Key Themes

Prioritize AI Deployments with Measurable ROI

Revalidate Cloud and Infrastructure Resilience

Strengthen Cyber Readiness

Reassess Data Governance, Sovereignty, and Compliance

Modernize Data Platforms for AI Readiness

Diversify Technology Supply Chains

Agenda

Turning AI Into Business Value

One Day Event

11:00 am

Welcome Address

11:05 am

IDC Keynote- Infrastructure for the Agentic Era: From AI Pilots to AI Factories

AI is raising the bar for enterprise infrastructure. IDC keynote session will explore the evolution from traditional datacentres to purpose-built AI factories, examining how compute, cloud, and facilities must adapt to meet the scale, performance, and economics of the agentic enterprise.

Matt Eastwood

Matt Eastwood

SVP, World Wide Research, IDC

11:20 am

Confidential AI – Infrastructure Controls for Sovereign Data

As organizations accelerate AI adoption, safeguarding sensitive data while maintaining regulatory compliance and operational trust has become a strategic priority. This session explores how confidential AI frameworks and infrastructure-level controls are enabling enterprises and public sector organizations to securely process, govern, and protect sovereign data across hybrid and cloud environments.

The discussion will examine the role of confidential computing, encryption-in-use, secure enclaves, access governance, and policy-driven infrastructure in building trusted AI environments that align with national data sovereignty mandates. Attendees will gain insights into how organizations can unlock AI innovation while ensuring critical data remains protected, compliant, and under sovereign control.

Markus Leberecht

Markus Leberecht

Principal Engineer, Member of the EMEA Chief Technology Office, Intel Germany

Ola Sultan

Ola Sultan

Technical Lead MEA, Intel

11:35 am

Powering Intelligence Everywhere: From Device‑to‑Edge‑to‑Cloud

As AI adoption accelerates across industries, intelligence must scale seamlessly from the device to the edge and into the cloud. In this session, we explore how Qualcomm is enabling this new computing paradigm through a unified, end‑to‑end platform that delivers performance, efficiency, and scalability across the compute continuum .

Attendees will gain insight into Qualcomm’s device‑to‑edge‑to‑cloud strategy, including how its AI compute platforms support real‑world deployments across enterprise, cloud, and regulated environments. The session will highlight live implementations, ecosystem partnerships, and roadmap evolution, demonstrating how Qualcomm is helping customers and partners scale intelligence reliably, securely, and efficiently everywhere.

Charles Chebli 

Charles Chebli 

Managing Director UAE and Head of AI Cloud MEA, Qualcomm

11:50 am

Enterprise AI Is Ready. Is Your Data Ready For It?

Most organizations have access to powerful AI tools — but many still struggle to turn them into real business value. The challenge is not AI itself, it’s the data. Critical enterprise knowledge remains unstructured, fragmented, and often constrained by regulatory and sovereignty requirements, especially under frameworks like PDPL.

In this session, we explore a practical path forward: enabling AI to work directly on enterprise data where it lives — securely, with governance and sovereignty by design. We will also share real-world examples and sector use cases from organizations operating at scale in UAE.

Murad Abu Abed

Murad Abu Abed

AI Field Technical Director, Cohesity

12:05 pm

Agentic AI in Action: Real-World Industry Transformation

As AI evolves beyond automation, Agentic AI is enabling systems to independently make decisions, take actions, and adapt to changing conditions. This session explores real-world use cases across industries, highlighting how organizations are leveraging Agentic AI to improve efficiency, enhance customer experiences, and accelerate innovation while balancing governance, security, and human oversight.

Reece Clifford

Reece Clifford

Data & Analytics Advisor / Pre Sales Manager (Middle East, Turkey & Africa), SAS

12:20 pm

The Governance Imperative

Organizations are deploying AI faster than they can govern it, creating a critical Governance Execution Gap — the distance between where AI is being used and where organizations can see, control, evidence, and define it. Without a governed foundation, AI operates outside accountability and transparency, becoming a liability rather than an asset. Closing this gap is essential to transforming AI into a trusted, sustainable, and nationally valuable capability.

Mark Hailes

Mark Hailes

Co-founder & CTO, D Station

12:30 pm

Leveraging AI to Strengthen Business Security Operations

AI is changing the rules of cyber defence, and security operations need to keep pace. This session explores how SecurityHQ is leveraging AI to strengthen and continuously improve security operations, from the principles of Security Performance Engineering to the intelligence-led capabilities powering our Axcel platform. We’ll walk through how we are moving beyond traditional reactive security to deliver measurable outcomes, faster detection, and smarter response, giving businesses the performance and confidence they need in an increasingly complex threat environment.

Aaron Hambleton

Aaron Hambleton

SVP MEA, SecurityHQ

12:40 pm

Get Your GenAI Applications Ready with a Strong Data Foundation

Generative AI is moving rapidly from experimentation to enterprise-scale adoption — but many organizations are discovering that the real challenge is not the model itself, but the data behind it. Inconsistent, fragmented, and poorly governed data can quickly limit the accuracy, trustworthiness, and scalability of GenAI applications.
Join Denodo for this webinar to explore how organizations can build a strong, AI-ready data foundation that enables reliable, secure, and business-aligned GenAI initiatives. We will discuss the critical role of logical data management, semantic consistency, real-time access, governance, and trusted data delivery in supporting modern AI architectures such as RAG, AI agents, and enterprise copilots.
Dr. Alexey Sidorov

Dr. Alexey Sidorov

Chief Evangelist & Data Management Director, MEA, Denodo

12:50 pm

Converting AI Adoption into Measurable Outcomes

While many organizations have embraced AI, the challenge lies in translating adoption into tangible business value. This session explores strategies for turning AI investments into measurable outcomes, including improved efficiency, cost savings, revenue growth, and enhanced customer experiences. Attendees will gain insights into defining success metrics, scaling AI initiatives, and aligning technology efforts with business objectives to maximize return on investment.

Praneeth Vanteru

Praneeth Vanteru

Technical Evangelist, Manage Engine

1:00 pm

Summary & Takeaways

Speakers

Matt Eastwood

Matt Eastwood

SVP, World Wide Research

IDC

Read Bio

Harish Dunakhe

Harish Dunakhe

Senior Research Director, Software & Cloud (META)

IDC

Read Bio

Markus Leberecht

Markus Leberecht

Principal Engineer, Member of the EMEA Chief Technology Office

Intel Germany

Read Bio

Ola Sultan

Ola Sultan

Technical Lead MEA

Intel

Read Bio

Charles Chebli 

Charles Chebli 

Managing Director UAE and Head of AI Cloud MEA

Qualcomm

Read Bio

Mark Hailes

Mark Hailes

Co-founder & CTO

D Station

Read Bio

Reece Clifford

Reece Clifford

Data & Analytics Advisor / Pre Sales Manager (Middle East, Turkey & Africa)

SAS

Read Bio

Murad Abu Abed

Murad Abu Abed

AI Field Technical Director

Cohesity

Read Bio

Aaron Hambleton

Aaron Hambleton

SVP MEA

SecurityHQ

Read Bio

Dr. Alexey Sidorov

Dr. Alexey Sidorov

Chief Evangelist & Data Management Director, MEA

Denodo

Read Bio

Praneeth Vanteru

Praneeth Vanteru

Technical Evangelist

Manage Engine

Read Bio

Knowledge Hub

Resilient & Defensible Technical Strategies as Technology Moves Faster Than Ever

Across conversations with security and industry leaders across the GCC & the EU, what one finds impacting most Security leaders is that they are not resource-poor, they are choice-rich and time-starved.

Tim Chambers
| SecurityHQ
Regional Cybersecurity Consultant Lead – MEA
Learn More

Partners

Be Part of it!

Register Now

Turning AI Into Business Value

Turning AI Into Business Value

Balancing Cost, Speed, and Scale

IDC Middle East Virtual Roadshow

Overview

Saudi Arabia has emerged as one of the region’s most active AI economies, with enterprises showing a strong appetite for AI-led transformation. IDC data previously showed AI ranking among the country’s top digital investment priorities, with 66% of Saudi organizations expected to increase AI and digital investments in 2026. The current geopolitical scenario, however, introduces a more complex operating environment – one shaped by greater cost pressure, risk sensitivity, and increased scrutiny of investment decisions.

 

For CIOs, the focus now is on sustaining AI momentum and delivering measurable business value amid increasing uncertainty. In today’s environment, business and technology leaders must not only justify AI investments but also ensure their AI strategies are resilient in the face of operational, economic, and geopolitical disruption.

 

Join us for the exclusive IDC Virtual Roadshow to explore how Saudi organizations can continue advancing their AI agendas while responding to rising geopolitical uncertainty and a more demanding investment climate.

Key Themes

Prioritize AI Deployments with Measurable ROI

Revalidate Cloud and Infrastructure Resilience

Strengthen Cyber Readiness

Reassess Data Governance, Sovereignty, and Compliance

Modernize Data Platforms for AI Readiness

Diversify Technology Supply Chains

http://event.idc.com/wp-content/uploads/2026/04/May-Webinar-5-1.png

Agenda

Turning AI Into Business Value

One Day Event

11:00 am

Welcome Address

11:05 am

IDC Keynote- Infrastructure for the Agentic Era: From AI Pilots to AI Factories

AI is raising the bar for enterprise infrastructure. IDC keynote session will explore the evolution from traditional datacentres to purpose-built AI factories, examining how compute, cloud, and facilities must adapt to meet the scale, performance, and economics of the agentic enterprise.

Matt Eastwood

Matt Eastwood

SVP, World Wide Research, IDC

11:20 am

Driving Measurable AI Outcomes: Best Practices

This session explores how organizations can move beyond AI experimentation to deliver measurable business outcomes, emphasizing that success depends on aligning strategy, data, governance, and adoption, not just deploying technology. Led by Plat4mation’s Chief AI Officer alongside ServiceNow, it shares practical best practices to help organizations translate AI ambition into scalable and real-world impact.

Stef Knaepkens

Stef Knaepkens

Chief AI Officer, Plat4mation

Olivia Hambert

Olivia Hambert

Partner Technology Strategist MEA, ServiceNow

11:35 am

Powering Intelligence Everywhere: From Device‑to‑Edge‑to‑Cloud

As AI adoption accelerates across industries, intelligence must scale seamlessly from the device to the edge and into the cloud. In this session, we explore how Qualcomm is enabling this new computing paradigm through a unified, end‑to‑end platform that delivers performance, efficiency, and scalability across the compute continuum .

Attendees will gain insight into Qualcomm’s device‑to‑edge‑to‑cloud strategy, including how its AI compute platforms support real‑world deployments across enterprise, cloud, and regulated environments. The session will highlight live implementations, ecosystem partnerships, and roadmap evolution, demonstrating how Qualcomm is helping customers and partners scale intelligence reliably, securely, and efficiently everywhere.

Charles Chebli 

Charles Chebli 

Managing Director UAE and Head of AI Cloud MEA, Qualcomm

11:50 am

Becoming Cyber Resilient in the AI Era

Understand why your AI data needs to be Cyber Resilient and how to protect it and leverage AI in your data protection strategy.

Etienne Niken

Etienne Niken

Sales Engineer Manager, Saudi Arabia and Qatar, Commvault

12:05 pm

Making Enterprise Data AI Ready – In Place

Most organizations have access to powerful AI tools — but many still struggle to turn them into real business value. The challenge is not AI itself, it’s the data. Critical enterprise knowledge remains unstructured, fragmented, and often constrained by regulatory and sovereignty requirements, especially under frameworks like PDPL.

In this session, we explore a practical path forward: enabling AI to work directly on enterprise data where it lives — securely, with governance and sovereignty by design. We will also share real-world examples and sector use cases from organizations operating at scale in Saudi Arabia.

Murad Abu Abed

Murad Abu Abed

AI Field Technical Director, Cohesity

12:20 pm

Powering AI at Scale: The Governance Era

Organizations are deploying AI faster than they can govern it, creating a critical Governance Execution Gap — the distance between where AI is being used and where organizations can see, control, evidence, and define it. Without a governed foundation, AI operates outside accountability and transparency, becoming a liability rather than an asset. Closing this gap is essential to transforming AI into a trusted, sustainable, and nationally valuable capability.

Mutaz Salim

Mutaz Salim

Founder & CEO, D Station

12:30 pm

Get Your GenAI Applications Ready with a Strong Data Foundation

Generative AI is moving rapidly from experimentation to enterprise-scale adoption — but many organizations are discovering that the real challenge is not the model itself, but the data behind it. Inconsistent, fragmented, and poorly governed data can quickly limit the accuracy, trustworthiness, and scalability of GenAI applications.
Join Denodo for this webinar to explore how organizations can build a strong, AI-ready data foundation that enables reliable, secure, and business-aligned GenAI initiatives. We will discuss the critical role of logical data management, semantic consistency, real-time access, governance, and trusted data delivery in supporting modern AI architectures such as RAG, AI agents, and enterprise copilots.
Alexey Sidorov, PhD

Alexey Sidorov, PhD

Chief Data Evangelist and Data Management Director, Denodo

12:40 pm

End User Panel: The Cloud Beneath the AI: Sovereign, Resilient Infrastructure for Saudi Arabia

As Saudi Arabia accelerates its AI ambitions, the infrastructure beneath it matters as much as the intelligence above it. This session explores how enterprise leaders are building cloud foundations that are resilient, sovereign, and ready to scale, turning Vision 2030’s digital promise into operational reality.

Harish Dunakhe

Harish Dunakhe

Senior Research Director, Software & Cloud (META), IDC

Ahmed AlRifai

Ahmed AlRifai

Group IT Director, Al-Muhaidib Group

Hazem Jarrar

Hazem Jarrar

Chief Technology Officer (CTO), King Faisal Foundation

Sivakumar Seshadri

Sivakumar Seshadri

Head of Digital, Confidential Government

1:10 pm

Summary & Takeaways, IDC

1:15 pm

Close of Event

Speakers

Matt Eastwood

Matt Eastwood

SVP, World Wide Research

IDC

Read Bio

Harish Dunakhe

Harish Dunakhe

Senior Research Director, Software & Cloud (META)

IDC

Read Bio

Stef Knaepkens

Stef Knaepkens

Chief AI Officer

Plat4mation

Read Bio

Olivia Hambert

Olivia Hambert

Partner Technology Strategist MEA

ServiceNow

Read Bio

Alexey Sidorov, PhD

Alexey Sidorov, PhD

Chief Data Evangelist and Data Management Director

Denodo

Read Bio

Mutaz Salim

Mutaz Salim

Founder & CEO

D Station

Read Bio

Charles Chebli 

Charles Chebli 

Managing Director UAE and Head of AI Cloud MEA

Qualcomm

Read Bio

Ahmed AlRifai

Ahmed AlRifai

Group IT Director

Al-Muhaidib Group

Read Bio

Hazem Jarrar

Hazem Jarrar

Chief Technology Officer (CTO)

King Faisal Foundation

Read Bio

Sivakumar Seshadri

Sivakumar Seshadri

Head of Digital

Confidential Government

Read Bio

Etienne Niken

Etienne Niken

Sales Engineer Manager, Saudi Arabia and Qatar

Commvault

Read Bio

Murad Abu Abed

Murad Abu Abed

AI Field Technical Director

Cohesity

Read Bio

Knowledge Hub

OpenClaw: The Future of AI Agent Orchestration | Qualcomm

OpenClaw has been pretty handy quite lately. I can text it from anywhere, on any device. It sends me a news briefing every morning, plans healthy walks including weather-appropriate clothing and is keeping me apprised of the progress of a stereo I ordered from Japan. It takes my chaotic thoughts, turns them into clean Markdown and emails them to relevant people. And it’s all running on a tiny $59 Arduino UNOQ board I stashed on a bookshelf.

Sascha Segan
| Qualcomm Technologies Inc
Senior Manager Public Relations
Read More

Measuring the Resilience Gap

Companies can no longer trust their data during a cyber incident – not even their backups. Current statistics indicate that hackers remain in their target networks for an average of over 200 days, manipulating dozens of systems. Backup systems are a prime target, as they can render a ransomware attack ineffective.

Dr Mazen Abduljabbar
| Commvault
Country Manager, KSA
Read More

Partners

Be Part of it!

Proceedings

Knowledge Hub / Gökhan Erdoğdu

Partner Spotlight

Gökhan Erdoğdu
CEO
MechSoft
Partner Spotlight

Son yıllarda yapay zeka iş hayatına hızlı bir giriş yaptı ve bu durum organizasyonlarda önemli bir algı dönüşümünü beraberinde getirdi. Artık çalışanlar metin üretmekten veri analizine kadar birçok işi saniyeler içinde gerçekleştirebiliyor. Ancak bu yaygın kullanım, kritik bir gerçeği çoğu zaman gölgede bırakıyor: Yapay zekayı kullanmak ile yapay zeka ile dönüşmek aynı şey değildir.

Bugün birçok organizasyon yapay zekayı aktif olarak kullanmasına rağmen, beklenen iş sonuçlarını elde edemiyor. Bunun temel nedeni ise çoğu zaman teknolojinin kendisi değil, verinin parçalı ve kopuk yapısıdır. Farklı sistemlere dağılmış, birbirinden kopuk veri yapıları üzerinde çalışan yapay zeka, doğal olarak sınırlı bir bağlamla hareket eder. Bu da üretilen çıktının yüzeysel kalmasına ve operasyonel etki yaratamamasına neden olur.

Yaygın olarak kullanılan “Consumer AI” araçları, bireysel üretkenliği artırma konusunda oldukça başarılıdır. Ancak bu sistemler doğası gereği oturum bazlı çalışır ve kurumsal süreçlerin sürekliliğini taşımaz. Organizasyonun nasıl işlediğini, süreçlerin nasıl ilerlediğini veya yetkilendirme yapısını bütünsel olarak kavrayamaz. Bu nedenle, işin gerçek akışıyla temas edemez.

Oysa kurumlar, bireysel etkileşimlerle değil; veri, süreç ve sorumlulukların bir arada çalıştığı yapılar üzerinden ilerler. Bu noktada “Business AI” yaklaşımı öne çıkar. Business AI, yapay zekanın yalnızca bilgi üreten bir araç olmaktan çıkıp, doğrudan iş süreçlerinin içine entegre olduğu bir modeli ifade eder. Ancak bu modelin çalışabilmesi için en kritik ön koşul, verinin konsolide edilmesidir.

Veri tek bir yapı altında birleşmeden, yapay zekanın gerçek bağlamı anlaması mümkün değildir. Konsolide veri sayesinde yapay zeka; kullanıcının rolünü, sürecin hangi aşamasında olduğunu ve ilgili tüm iş bağlamını anlayabilir. Bu noktada yalnızca analiz yapmakla kalmaz; aksiyon başlatır, iş akışlarını tetikler ve doğrudan operasyonel sonuç üretir.

Bugün birçok organizasyon yapay zekayı hala mevcut, parçalı sistemlerin üzerine eklenmiş bir katman olarak konumlandırıyor. Bu yaklaşım verimliliği artırsa da, iş yapış biçimini dönüştürmez. Gerçek dönüşüm ise ancak verinin tek bir gerçeklik altında birleştiği ve yapay zekanın bu yapı içinde aktif rol aldığı senaryolarda mümkün hale gelir.

Önümüzdeki dönemde rekabet avantajı, daha fazla yapay zeka aracı kullanan şirketlerde değil; verisini konsolide eden ve yapay zekayı bu bütünsel yapı üzerinde çalıştırabilen organizasyonlarda ortaya çıkacak. Çünkü parçalı veri üzerinde çalışan yapay zeka sadece yanıt üretir; konsolide veri üzerinde çalışan yapay zeka ise işi yürütür.

Knowledge Hub- Notis Iliopoulos_Obrela

Partner Spotlight

Notis Iliopoulos ,
EVP of MRC
Obrela
Partner Spotlight

Operationalizing Cybersecurity Through Outcome-Based Delivery, Quantified Risk, and Resilience-First Prioritization

Cybersecurity becomes truly effective when it operates like a business capability, not a collection of tools and one-off projects. “Operationalizing” cybersecurity means building a repeatable way to deliver protection, detection, response, and recovery—consistently, measurably, and at scale. The shift is simple but profound: move from activity (“we deployed X”) to impact (“we reduced downtime risk on critical services”).

 

The foundation is outcome-based delivery. Instead of funding disconnected initiatives, organizations define a small set of outcomes leadership cares about—such as reduced ransomware-driven interruption, faster containment of identity compromise, improved recovery confidence, or stronger assurance for critical suppliers. Each outcome is supported by operational services (e.g., identity, exposure management, detection engineering, incident readiness) delivered through standard workflows and playbooks. Success is measured with performance indicators that demonstrate real change: containment time, restore-test pass rate, patch latency, privileged access coverage, and reduction in high-severity incidents.

 

To prioritize intelligently, organizations need quantified risk, not just qualitative heatmaps. Scenario-based quantification translates cyber threats into decision-grade business terms: likelihood ranges, loss ranges, and the expected reduction from specific controls. This enables budget optimization using a familiar logic—risk reduction per dollar, time-to-value, and feasibility—while making residual risk explicit and governable.

 

Finally, the most strategic programs apply resilience-first prioritization. Not every risk matters equally; the focus should be where cyber events threaten operational continuity. Investments that reduce time-to-detect, time-to-contain, time-to-recover, and blast radius typically deliver the highest resilience uplift. When cybersecurity is operationalized through outcomes, quantified risk, and resilience-led priorities, spend becomes easier to justify—and far harder to cut—because it demonstrably protects the organization’s ability to operate.

Knowledge Hub- Notis Iliopoulos_Obrela

Partner Spotlight

Notis Iliopoulos ,
EVP of MRC
Obrela
Partner Spotlight

Operationalizing Cybersecurity Through Outcome-Based Delivery, Quantified Risk, and Resilience-First Prioritization

Cybersecurity becomes truly effective when it operates like a business capability, not a collection of tools and one-off projects. “Operationalizing” cybersecurity means building a repeatable way to deliver protection, detection, response, and recovery—consistently, measurably, and at scale. The shift is simple but profound: move from activity (“we deployed X”) to impact (“we reduced downtime risk on critical services”).

 

The foundation is outcome-based delivery. Instead of funding disconnected initiatives, organizations define a small set of outcomes leadership cares about—such as reduced ransomware-driven interruption, faster containment of identity compromise, improved recovery confidence, or stronger assurance for critical suppliers. Each outcome is supported by operational services (e.g., identity, exposure management, detection engineering, incident readiness) delivered through standard workflows and playbooks. Success is measured with performance indicators that demonstrate real change: containment time, restore-test pass rate, patch latency, privileged access coverage, and reduction in high-severity incidents.

 

To prioritize intelligently, organizations need quantified risk, not just qualitative heatmaps. Scenario-based quantification translates cyber threats into decision-grade business terms: likelihood ranges, loss ranges, and the expected reduction from specific controls. This enables budget optimization using a familiar logic—risk reduction per dollar, time-to-value, and feasibility—while making residual risk explicit and governable.

 

Finally, the most strategic programs apply resilience-first prioritization. Not every risk matters equally; the focus should be where cyber events threaten operational continuity. Investments that reduce time-to-detect, time-to-contain, time-to-recover, and blast radius typically deliver the highest resilience uplift. When cybersecurity is operationalized through outcomes, quantified risk, and resilience-led priorities, spend becomes easier to justify—and far harder to cut—because it demonstrably protects the organization’s ability to operate.

Knowledge Hub / Köksal Küçükada

Advisory Board Spotlight

Köksal Küçükada
CIO
Sanko Holding
Advisory Board Spotlight

SANKO Holding olarak, dijital dönüşümü, iş süreçlerini daha hızlı, esnek ve akıllı hale getiren stratejik bir kaldıraç olarak görüyoruz. 2026 yılı teknoloji gündemimizde yapay zeka, RPA, otonom ajan teknolojileri ve robotik sistemlerin kurumsal süreçlerle entegrasyonu önemli bir yer tutuyor.

RPA çözümleri operasyonel süreçlerde tekrarlayan işleri otomatikleştirerek verimliliği artırırken, yeni nesil otonom ajanlar veri akışını yorumlayabilen ve süreçler arasında karar destek mekanizmaları oluşturabilen bir katman oluşturuyor. Bunun bir adım ötesinde ise kurumsal yazılımlarla fiziksel robotik sistemlerin aynı veri altyapısı üzerinden çalıştığı yeni bir dönem şekilleniyor. Özellikle üretim, lojistik ve depo operasyonlarında robotların ERP ve iş uygulamalarından gelen gerçek zamanlı verilerle yönlendirilmesi, dijital süreçlerle fiziksel operasyonlar arasındaki bağı güçlendiriyor.

Bu gelişmeler, teknoloji ile iş süreçlerinin birlikte evrildiği yeni bir çalışma modelinin de temelini oluşturuyor. Bu çerçevede biz de teknoloji mimarimizi geleceğin otonom ve entegre iş modellerine uyumlu şekilde geliştirmeye devam ediyoruz.

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