REVOLUTIONIZING THE BOARDROOM
ALI ABEDI
SHANAKA PERERA
PRADIPTA PATRO
FRANKIE SHUAI
DR. SYLVIA SATHEKGE
MOHAMMED HENNAVI AKHTAR ALI
The new mandate
CIOs face a pivotal moment in redefining their role within organizations.
The traditional IT leader is evolving into a strategic business enabler, balancing innovation with efficiency while driving business outcomes. The key priorities for CIOs this year revolve around aligning IT with business goals, leveraging emerging technologies, optimizing existing investments, reducing technical debt, and collaborating closely with the C-suite to create value.
One of the most critical responsibilities for CIOs in 2025 is ensuring that IT strategies directly support business objectives. Technology is no longer just an enabler—it is a core driver of business transformation. CIOs must work closely with CEOs, CFOs, and other business leaders to develop IT roadmaps that align with revenue growth, customer experience, and operational efficiency.
The rapid emergence of AI presents both opportunities and challenges. While new technologies can drive innovation, CIOs must also ensure they maximize the value of existing investments. This means adopting a strategic approach to modernization—leveraging automation, enhancing legacy systems where possible, and integrating new solutions that complement rather than replace existing infrastructures.
Technical debt remains a significant challenge for many organizations. Aging systems, outdated software, and fragmented architectures can slow down innovation and increase costs. CIOs must prioritize modernization efforts, streamline IT infrastructure, and implement proactive strategies to manage and reduce technical debt. This requires a balance between maintaining existing systems and strategically investing in scalable, future-proof technologies.
Gone are the days when IT was seen as a cost center. Today’s CIOs must shift their focus from operational efficiency to value creation. This involves leveraging data-driven insights to enhance decision-making, improve customer experiences, and unlock new revenue streams. By embedding a culture of innovation within IT teams, CIOs can drive meaningful business transformation.
The role of the CIO is more strategic than ever—those who embrace this shift will lead their organizations to success in the rapidly evolving technological landscape.
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Leveraging technology for innovation and industry leadership
• Integrating Participant Portals and Mobile Apps: We are in the verge of providing digital platforms where participants can enroll, maintain coverage, and file claims online. Participants can WHAT TECHNOLOGICAL SOLUTIONS IS YOUR ORGANIZATION LEVERAGING TO DRIVE INNOVATION AND MAINTAIN A COMPETITIVE EDGE WITHIN YOUR INDUSTRY?
Currently we are in the progress of focusing on building a robust digital ecosystem that would streamline our entire Takaful journey. These solutions would enable to meet the growing expectations for efficiency, transparency and consistency which would give us a competitive edge within the industry.
ALI ABEDI Chief Information Officer
Yas Takaful
easily review their contributions and certificates using secure portals, enabling an efficient, paperless experience that adheres to Shariah principles of openness and fairness.
• Data Analysis and Process Automation: We leverage data analytics to improve risk modeling and pricing, allowing us to create Takaful solutions that better meet participant demands. Automated processes (such as digital underwriting and claims settlement) expedite tasks and decrease errors, providing a consistent experience for both participants and workers.
• Blockchain-based solutions (in vision): To improve trust and auditability, we may look into blockchain for keeping tamperproof records of contributions and claims, reinforcing Takaful's cooperative nature.
FROM YOUR PERSPECTIVE, WHAT STRATEGIES CAN ORGANIZATIONS EMPLOY TO EQUIP THEIR TEAMS WITH THE REQUISITE SKILLS FOR SUCCESS IN AN EVOLVING TECHNOLOGICAL LANDSCAPE?
i. Continuous Learning and Development: Provide regular training programs, both inperson and online, to help employees understand new technologies, platforms, and regulatory updates. Align training with Islamic finance and Takaful concepts to enable comprehensive upskilling.
ii. Cross-functional Collaboration: Encourage teams from many disciplines (financial, IT, marketing, Shariah
compliance) to collaborate on projects. Shared issue solving develops an innovative culture and allows employees to learn from one another's experience.
iii. Agile Mindset and Leadership: Foster an agile culture that values adaptation and incremental progress. Empower managers and team leaders to drive digital transformation while adhering to ethical and Shariah-compliant business practices.
iv. Mentorship and Knowledge Transfer: Implement mentorship programs in which experienced employees help fresher hires by transmitting technical and soft skills. This method is critical for preserving organizational knowledge and Takaful-specific expertise.
IN YOUR VIEW, WHAT MEASURES CAN BE TAKEN TO FACILITATE SEAMLESS COLLABORATION BETWEEN HUMAN CAPABILITIES AND EMERGING TECHNOLOGIES, OPTIMIZING OPERATIONAL PROCESSES AND DECISIONMAKING?
i. Human-centric design: Implement user-friendly platforms that employees can rapidly adopt. Instead than replacing human strengths such as analytical thinking, empathy, and ethical judgment, technology should enhance them.
ii. Workflow Integration: Integrate systems such as CRM, policy administration, HR using APIs or secure data-sharing protocols. A single source of truth enables employees to obtain
real-time information while reducing duplication.
iii. Upskilling and Role Redefinition: Train human decision-makers to evaluate data-driven insights so that they may focus on strategic, ethical, and participant-centered tasks. Redefine roles to efficiently use data and automation.
iv. Governance and Ethics
Oversight: Implement supervision systems to guarantee that new tools comply with Shariah guidelines and data privacy regulations. Regular audits and Shariah assessments assure the ethical use of technology in Takaful activities.
ADDRESSING
CHALLENGES IN HR AND FINANCE, WHAT HURDLES DO YOU FIND MOST SIGNIFICANT WHEN IMPLEMENTING TRANSFORMATIVE TECHNOLOGIES?
i. Legacy infrastructure: Many HR and financial systems were not meant to be compatible with newer digital alternatives. Migration to new systems can be time-consuming and costly, necessitating meticulous change management.
ii. Talent and Skill Gaps: Specialized skills, such as data analytics, cybersecurity, and digital project management, are frequently in short supply. There is a need to hire or teach individuals who understand both Takaful concepts and emerging technologies.
iii. Regulatory and Shariah Compliance: Ensuring that technology comply with local
rules and Shariah governance principles might hold down rollout. Robust compliance procedures must be established from the start to avoid delays and reputational problems.
iv. Cultural resistance: Adopting new technology frequently disrupts workflows and job roles, resulting in team resistance. Clear communication and participatory decision-making are critical for achieving internal support.
RELECTING
ON POTENTIAL OF TECHNOLOGY, HOW CAN INDUSTRIES LEVERAGE ADVANCEMENTS TO ADDRESS PRESSING SOCIAL AND ENVIRONMENTAL ISSUES, WITHOUT SPECIFYING AI?
i. IoT and Data driven monitoring: Introduction of smart devices and sensors to track and mitigate risks, particularly in the area of motor insurance to identify the risk patterns of a driver prior to renewing policies, sleep patterns to identify the risks associated prior to renewing medical insurance of a customer. These factors can also be used for rewarding the customers based on the positive findings and patterns
ii. Green finance initiatives: Offer Takaful products targeted to environmentally friendly initiatives, such as solar panel insurance or renewable energy project coverage, to encourage investment in sustainability.
CONSIDERING
THE INTEGRATION OF
TECHNOLOGY INTO VARIOUS ASPECTS OF OUR LIVES, HOW CAN WE ENSURE THAT TECHNOLOGY ENHANCES HUMAN EXPERIENCES RATHER THAN SUPPLANTING THEM?
i. User Experience and Empathy: Focus product design on participant and employee needs. Gather feedback on a constant basis to improve interfaces and workflows in ways that compliment human empathy and interpersonal abilities.
ii. Transparency and Trust: Provide clear and accessible information on how technology is used. Trust is essential in Takaful, and participants must grasp how digital tools promote ethical and fair treatment throughout the policy lifetime.
iii. Privacy & Data Protection: Respect for personal data and adherence to privacy standards (and Shariah) are non-negotiable. Proper data governance guarantees that technology usage remains beneficial while not violate on personal rights.
ENVISIONING THE EVOLUTION OF WORKPLACE CULTURE, HOW DO YOU ANTICIPATE THE FUTURE SKILLS LANDSCAPE, AND WHAT STEPS ARE YOU TAKING TO PREPARE YOUR WORKFORCE FOR THESE CHANGES?
i. Adaptability and Continuous Learning: Rapid innovation requires an adaptable workforce that is willing to learn new ways on a frequent basis. We encourage job rotations, crosstraining, and open innovation
forums where staff can discuss new Takaful-related ideas and products.
ii. Ethical and value-based skill sets: As technological capabilities expand, ethical decisionmaking based on Islamic financial principles will become increasingly important. We intend to include Shariah-based ethical frameworks into all upskilling programs.
CONSIDERING
THE EVOLVING LANDSCAPE OF BANKING/HR, HOW DO YOU FORESEE THE ROLE OF TECHNOLOGY IN SHAPING CUSTOMER INTERACTIONS AND SERVICE DELIVERY IN THE FUTURE?
i. Personalized, Omnichannel Engagement: Participants want consistent experiences whether they are online, using mobile apps, or in person. Integrations across channels allow for customized Takaful solutions, quicker notifications, and faster policy changes.
ii. Real-Time Support and SelfService: Chat interfaces and web portals enable participants to complete routine operations in real time, such as policy renewals and contribution questions, minimizing wait times and increasing customer satisfaction.
iii. Data-driven insights for service improvement: By studying user behavior and feedback, we can constantly improve our products and services, ensuring alignment with participants' changing demands and sustaining Takaful's mutual benefits.
Predict the Unpredictable –Modern Cyber Defence in the AI era
HOW ARE YOU DEVELOPING AND IMPLEMENTING A COMPREHENSIVE AI STRATEGY TO ENHANCE BUSINESS OPERATIONS AND MAINTAIN A COMPETITIVE EDGE?
AI has become the cornerstone of innovation and competitive advantage for organizations across industries. Developing and implementing a comprehensive AI strategy is crucial to drive operational efficiency, improve customer experience, enhance business decision-making, and unlock new opportunities. To achieve these benefits, organizations could approach AI adoption strategically including but not limited to ABCDE common practices recommended below.
• A stands for Assessing readiness
Evaluate the organization’s readiness for AI by examining existing technology infrastructure, data quality, and workforce skills. Successful AI implementation depends on robust cloud computing capabilities, data pipelines, and
FRANKIE SHUAI APAC CISO, DWS Group
employees’ skills in AI. Conducting a gap analysis as the first step can help identify areas that need improvement before embarking on AI initiatives.
• B stands for Business use case. The AI journey could start with business use cases that offer high impact and great feasibility.
Pilot projects in the areas with a clear Return Over Investment (ROI) can build momentum and generate organizational buyin. For instance, in the financial industry in Singapore where I am coming from, there’re already banks start to utilize AI to forecast demand for bank services (e.g., ATM cash withdrawals), utilize AI in the financial risk management to detect abnormal financial market movements, utilize AI in customer service to predict customer preferences, personalise product recommendations and manage customer feedback, etc.
• C stands for Culture of innovation.
Encourage experimentation, continuous learning and foster collaboration between technical and business teams. Promote a corporate culture that embraces changes and is open to as-manyas possible in AI. Acknowledge mistakes might not be 100% avoidable in the innovation early phase, but more importantly is how the organization could learn and grow from those mistakes.
• D stands for Data foundation. Data is the new fuel for AI. Invest smartly in the whole data life cycle from data collection, data cleaning to data processing to make sure data is accurate, accessible, and relevant. Establish data governance policies & procedures to maintain good data quality and data privacy & protection compliance. In a word, the business’ AI strategy will only be as good as AI governance strategy and AI governance strategy will only be as good as
data governance strategy.
• E stands for Ethical usage of AI Ensure the AI strategy incorporates ethical considerations clearly, including fairness, ethics, accountability, transparency, and privacy. Establish guidelines for responsible AI use and monitor AI for unintended biases or risks.
IN WHAT WAYS ARE YOU MODERNIZING YOUR DATA ARCHITECTURE TO SUPPORT ADVANCED ANALYTICS AND DECISION-MAKING?
Data architecture modernization is essential for organizations aiming to leverage AI effectively. A modernized data architecture could enable efficient data management, seamless integration, and scalable implementation for AI deployment. The following are some thoughts about how to design and implement the modern data architecture tailored for AI.
1) Build modern Infrastructure by adopting Cloud-first approach. Modern AI workloads require scalable and flexible infrastructure. Cloud platforms could provide the competitive advantage in computing, storage and networking necessary for processing large datasets for AI models training. Hybrid and multicloud strategies are also popular for balancing cost, performance, data privacy and regulatory compliance needs.
2) Build Data Lake and Warehouse Modern architectures often combine data lakes and
warehouses. Data lakes usually store raw and unstructured data for AI training, while data warehouses more focus on handling structured data for data analysis and business intelligence. There are tools in the marketplace to facilitate such integration.
3) Focus on Data Quality and Data Governance
There is a saying that “Garbage in, garbage out”, so AI models are only as good as the data they consume. Invest in data cleaning, enrichment, and transformation processes to ensure the data quality could meet the business need. Establish the data governance frameworks that define data ownership, access controls, compliance with data privacy & protection regulations like GDPR, PDPA, etc.
4) Foster Data Interoperability and Scalability
Choose the future-proof architectures that support the data interoperability and scalability. For example, there are open standards and APIs ensure seamless integration with AI tools and other systems. Design with future-growth in mind to accommodate increasing data volumes and evolving AI capabilities.
WHAT PROACTIVE STEPS ARE YOU TAKING TO ADDRESS EMERGING CYBERSECURITY THREATS, INCLUDING THOSE POSED BY AI-GENERATED ATTACKS?
Cyber-attack is well known that no longer the matter WEATHER it would happen but the matter WHEN it would
happen nowadays. And both the volume and sophistication of cyber-attacks, especially those recent posted by AIgenerated cyber-attacks are increasing significantly. Below is a list of steps recommended to mitigate emerging cyber threats effectively.
1) Adopt Zero-Trust Network Architecture (ZTNA)
It means “No (blind) Trust, Always Verify” to ensures that no user or device is trusted by default, even if they are within the organization’s network perimeter. Implementing multifactor authentication (MFA), role-based access controls, and continuous monitoring enhances security significantly are some fundamental but important cyber hygiene practices.
2) Strengthen Endpoint Security Endpoints have evolved especially when remote/hybrid work become the new norm since COVID. Mobile devices, laptops, and IoT devices could all be vulnerable entry points for attackers. Deploying the stateof-art endpoint detection and response (EDR) tools, regularly updating software, and enforcing strong password policies are essential steps to fortify these end points.
3) Regularly Update and Patch Systems
Outdated software often contains vulnerabilities that cybercriminals would exploit. Organizations must maintain a robust patch management process to ensure that all the software and firmware are updated promptly to address known security flaws. One thing
to highlight that Open Software library should also been taken care of updating and patching timely.
4) Use AI (enabled Cyber Defence) to Fight with AI (Driven Cyber Attack)
AI can be used to counter AIgenerated attacks by predicting potential threats, simulating attack scenarios, and automating cyber incident responses in the more efficient and effective manner. This ensures a faster and more accurate reaction to emerging threats.
5) Monitor and Safeguard AI
Developments
Security leaders need stay informed about advancements in AI, both beneficial and malicious, enables organizations to anticipate future risks and prepare accordingly. They need play more proactive roles in the safeguarding the AI system development and implementation. Traditional security risks will not run away from AI and AI specific emerging security risks like data position, prompt injection, etc are on the horizon already.
Conclusion
By taking these proactive steps, organizations can build a resilient cybersecurity framework to counter the challenges posed by emerging threats, including those driven by AI.
HOW ARE YOU ALIGNING IT INITIATIVES WITH BUSINESS OBJECTIVES TO CLEARLY DEMONSTRATE VALUE AND DRIVE GROWTH?
For technology leaders to align their IT initiatives with business
objectives of the organization, the tangible shift starts from mindset change - from (IT) PROJECT based IT planning & management to the (Business) PRODUCT based IT planning & management.
I am not against the traditional project management, in fact, I was the Vice President of Project Management Institute (PMI) Singapore chapter. For those people familiar with project management, they would know PMI is the global institute that issues the Project Management Professional (PMP) certification, which is the most well-known and recognized project management certification globally. I am the strong advocate of the project, program and portfolio management. The thing here is sometimes as the technology leaders, we have paid too much attention on the IT project SDLC (Software Development Life Cycle)’s milestone, progress, risk register, overall RAG (Red, Amber and Green) status tracking too much. That’s great, which has provided the systematic view for the management to understand how we are running the IT projects and demonstrate the value of IT project managers.
But again, IT is not silo, it’s not about running projects for projects themselves only. We could try to shift the way how we track the people, process and technology of the IT projects to be more business product aligned and see how our projects are enabling our business to better sell the product or service, how to achieve better CX (Client
Experience) or UX (internal employee User Experience), etc. It’s not easy at the beginning, but there is a journey, the more we could speak the language that our business and clients are speaking, the more close we will be with business and clients.
HOW ARE YOU MANAGING THE COMPLEXITIES OF MULTI-CLOUD ENVIRONMENTS TO ENSURE SEAMLESS INTEGRATION AND OPERATION?
As per Thales 2023 Cloud Security Study report, multi-cloud is the reality but not exception any more that the average number of cloud infrastructure providers that organization has engaged and deployed is 2.3 and more than three quarters (79%) of the survey responders have more than 1 cloud service provider (CSP). As organizations adopt multicloud strategies to leverage the strengths of different cloud service providers, managing these environments becomes increasingly complex. The following is the list of best practises that organizations could leverage to maximize the benefits of cloud computing while minimizing risks and costs.
1) Develop a business-aligned and cross-function cloud strategy
A cohesive cloud strategy is essential for overseeing multicloud environments. This involves establishing clear goals, defining performance metrics, and creating policies for performance, security, compliance, and resource allocation across all the cloud
platforms.
2) Set up a robust Identity & Access Management (IAM) control
IAM is the cornerstone of cloud computing. It becomes more important when migrating from on premise to the cloud environment, especially multicloud environment. From MFA (Multi Factor Authentication) to Privilege Account Management, from least privilege principle to mover & leaver management, IAM has always been the basic but important area. If you could not manage the credential well, you could not manage your cloud journey well. Regarding the emerging solutions, we have seen there are the trends focusing on the technology integration to provide the seamless and holistic cloud security experience. For example, Cloud Access Security Broker (CASB) has drawn popularity as they manage the cloud user and cloud service together by providing connection and associated security compliance policy. Secure Access Service Edge (SASE) has also been in the radar more often since they combine both the networking and security together.
3) Focus on Data Protection
Data is the oil in the digital economy. Whoever could manage, safeguard and make full use of the data, they would be the winner in the changing game. Cloud computing has created the new opportunity to make use of the data, but also asked for, and provided at the same time, the higher standard regarding how to manage and safeguard the data.
Because the data is no longer physically residing in the own data centre or technology room in the cloud world. Data protection, or particularly data encryption, is no longer a choice, but de facto implementation. And this is not only happening for data-at-rest, but also data-in-transit and even data-in-use.
4) Security Monitoring and Incident Response
“To know that we know what we know, and to know that we do not know what we do not know, that is true knowledge.” - Nicolaus Copernicus. That’s correct! So security monitoring on all aspects in the cloud journey will help us know both known and unknown, on the endpoints, on the users, on the networks, etc. From Endpoint Detection and Response (EDR) to Network Detection and Response (NDR) and now Extended Detection and Response (XDR), coupled with the emerging Artificial Intelligence (AI) and Machine Learning (ML) capability, this has become an exciting development. Also Cloud Security Posture management (CSPM), as the solution of monitoring cloud-based systems and infrastructures for risks and misconfigurations, have attracted more use cases in cloud security now. Regarding the incident response, mindset of assuming data breaching already happened is needed with the help of evolving solutions and services in this area
Disclaimer: The views expressed are solely personal and not connected to DWS Group
SUCCESSFUL CONCLUSION OF THE THIRD VIRTUAL CONFERENCE ON AI IN HIGHER EDUCATION
The third Annual Virtual Conference on Artificial Intelligence (AI) in Higher Education, held today, concluded with overwhelming success, bringing together top educators, AI researchers, and industry leaders from around the world.
The event highlighted AI's transformative role in the higher education sector and addressed key challenges and opportunities for its integration into academic institutions globally.
The conference was held under the distinguished patronage of H.E. Dr. Diana Abdulkarim Al Jahromi, Secretary General of the Higher Education Council, who delivered an insightful inauguration speech. Dr. Al Jahromi emphasized the importance of embracing AI technologies in
educational systems to enhance learning outcomes, promote student empowerment, and drive the future of academic excellence.
Event Overview:
The virtual conference, held from was structured around a series of informative presentations, panel discussions, and thoughtprovoking sessions. Participants explored how AI is already reshaping education by offering personalized learning experiences, streamlining curriculum development, and supporting faculty members and learners through innovative tools.
Dr. Jassim Haji, President of the International Group of Artificial Intelligence (IGOAI), served as the conference chair. His welcome note underscored the importance of AI's role in shaping the future
of higher education, setting the tone for the rest of the event.
Highlights of Keynote Presentations:
The conference featured thought leaders from top universities and research centers around the world. Keynote speakers and their impactful presentations included:
• Dr. Luluh Aldhubayi, Director of the AI Center at King Saud University, presented “A New Era of Higher Education: AI Integration Across Disciplines”, providing valuable insights into how AI is breaking down barriers across academic disciplines and revolutionizing traditional educational models.
• Prof. Ernesto Damiani, Senior Director of the Khalifa University Center for Cyber Physical Systems, delivered a presentation on “LLM in Student Assessment: Threats
& Best Practices”, highlighting the benefits and risks of AI-driven assessments and the importance of ethical standards to ensure fairness in AI applications.
• Dr. Chan Yeun, Cybersecurity Leader at Khalifa University, spoke about “AI Security for Education”, addressing the pressing need to
secure AI-driven educational platforms from evolving cyber threats and ensuring that AI’s application in education remains safe and trustworthy.
• Dr. Aamna AlShehhi, Assistant Professor at Khalifa University, explored “Opportunities and Challenges of Generative AI in Higher
Education”, shedding light on the potential of generative AI in enhancing educational content and creating dynamic learning environments, while also discussing the challenges it presents, such as data privacy and security concerns.
• Dr. Anthony Cioppa, Researcher
at the University of Liège (ULiège) in Belgium, presented “AI for Sports in Education”, offering innovative perspectives on how AI can revolutionize sports education, training, and athlete development through intelligent data analysis and predictive modeling. Throughout the event, participants actively engaged with the speakers through Q&A sessions, fostering in-depth discussions on critical topics such as ethical AI use, AI's role in ensuring equal access to education, and the future of AI-driven learning environments.
The event also provided a unique platform for academics, AI practitioners, and educators to collaborate and share ideas, furthering the global dialogue on AI’s impact on the higher education sector. The conference was expertly moderated by Dalal Buhumeida, the event’s MC, who ensured smooth transitions between speakers and kept the audience engaged throughout the event. Her insightful moderation helped create an environment of dynamic exchange and knowledge sharing.
Event Partners and Organizers: The event was organized by the
International Group of Artificial Intelligence (IGOAI), a global leader in AI research and development. It was proudly partnered with the Artificial Intelligence Research and Development Centre, an institution dedicated to advancing AI technologies and their applications in a variety of sectors, including education, healthcare, and industry.
The collaboration between these organizations highlighted the importance of cross-sector partnerships in promoting AI research and its practical applications for improving education worldwide.
FUN & WEEKENDS THRILL JOIN
Expert CIO insights in tackling cybersecurity, innovation, and leadership
WHAT DO YOU CONSIDER THE MOST CRITICAL PRIORITY FOR A CIO TODAY?
In the rapidly evolving digital landscape, the most critical priority for a CIO today is to ensure cybersecurity and data privacy. As organizations increasingly rely on digital solutions for their operations, the threat landscape has expanded
significantly. Cyberattacks are becoming more sophisticated, making it essential for CIOs to not only implement robust security protocols but also foster a culture of security awareness throughout the organization. This involves regular training for employees, ensuring compliance with regulations, and adopting cutting-edge technologies such as AI-driven security solutions to proactively identify vulnerabilities. A strong
MOHAMMED HENNAVI
Group IT Manager NAFFCO FZCO
build collaborative relationships with stakeholders, and cultivate a team that embraces change and innovation. Additionally, staying adaptable to industry changes is essential.
HOW DO YOU FOSTER AND SUPPORT COLLABORATION ACROSS DIFFERENT DEPARTMENTS?
To foster collaboration, I would promote open communication channels and create crossfunctional teams for projects. Implementing collaborative tools, holding regular interdepartmental meetings, and encouraging a culture of shared goals can enhance teamwork. Recognizing and rewarding collaborative efforts also helps to reinforce this behavior.
HOW DO YOU KEEP UP WITH THE LATEST INNOVATIONS AND TRENDS IN TECHNOLOGY?
1. Participating in Webinars and Workshops:
I actively participate in webinars and workshops focused on emerging technologies, which not only enhance my knowledge but also provide opportunities for networking.
2. Continuous Education:
I prioritize ongoing professional development by enrolling in relevant courses and pursuing certifications that focus on emerging technologies and trends.
3. Following Thought Leaders and Publications:
Subscribing to technology journals, blogs, and newsletters from thought leaders in the industry helps me stay updated on new
developments and best practices.
4. Networking:
Engaging with peers through industry associations, conferences, and online forums allows me to share insights and learn from others' experiences.
5. R&D Initiatives:
Encouraging my team to explore new technologies through research and development initiatives allows us to assess potential innovations and their applicability to our organization.
HOW DO YOU STRIKE THE BALANCE BETWEEN OPERATION AND INNOVATION?
Balancing operation and innovation requires a structured approach. I prioritize operational efficiency through process optimization while allocating specific resources and time for innovation initiatives. Regularly reviewing performance metrics helps identify areas for
improvement, and fostering a culture that encourages experimentation supports innovation alongside operational stability.
WHAT ARE THE BIGGEST CHALLENGES CURRENTLY FACING CIOS, AND HOW
WOULD
YOU ADDRESS THEM?
Big challenges for CIOs include managing cybersecurity threats, aligning IT with business strategy, and dealing with rapid technological change. To address these, I would invest in advanced security measures, facilitate ongoing communication between IT and other departments to ensure alignment, and promote a culture of agility that encourages adaptability to new technologies. Regular training and development for the IT team and end-user awareness can also prepare them for emerging challenges.
IT Strategy and Innovation
HOW ARE YOU DEVELOPING AND IMPLEMENTING A COMPREHENSIVE AI STRATEGY TO ENHANCE BUSINESS OPERATIONS AND MAINTAIN A COMPETITIVE EDGE?
Developing and implementing a comprehensive AI strategy involves several key steps to ensure it
enhances business operations and enabled revenue and optimize operational efficiencies
Here’s a structured approach:
a. Understand Business Objectives and Needs: Start by identifying how AI can help achieve your business goals. This involves assessing your current operations and pinpointing areas where AI can add value, such as improving efficiency, enhancing customer experiences,
Evaluate the quality and
c. Develop an Ethical Framework: Establish guidelines for the ethical use of AI. This includes ensuring transparency, fairness, and accountability in AI applications to build trust with stakeholders
d. Choose the Right AI Technologies and Tools: Select AI technologies that align with your business needs.
e. Prioritize AI Skills Development: Invest in training and upskilling your workforce to ensure they can effectively use and manage AI technologies. This helps in fostering a culture of continuous learning and
PRADIPTA PATRO
Head-IT & Global CISO
KEC International Limited (An RPG Group Company)
f. Get Employee Buy-In: Engage employees early in the AI adoption process. Communicate the benefits and address any concerns to ensure smooth integration and acceptance across the organization
g. Iterate and Improve: Continuously monitor and refine your AI strategy. Use feedback and performance metrics to make necessary adjustments and improvements.
IN WHAT WAYS ARE YOU MODERNIZING YOUR DATA ARCHITECTURE TO SUPPORT ADVANCED ANALYTICS AND DECISION-MAKING?
Modernizing data architecture is crucial for supporting advanced analytics and decision-making. Here are some key strategies:
a. Adopting Cloud-Based Solutions or private cloud : Leveraging cloud platforms like AWS, Azure, or Google Cloud for scalable storage and processing capabilities. This allows for real-time data processing and integration
b. Implementing Data Lakes and Warehouses: Creating centralized repositories to store structured and unstructured data. Data lakes and warehouses enable efficient data management and retrieval for analytics
c. Utilizing Data Mesh Architecture: Organizing data into domains to treat it as a product. This approach enhances data accessibility and governance across the organization
d. Incorporating Real-Time Data Processing: Using technologies like Apache Kafka or AWS Kinesis to process data streams in realtime, ensuring timely insights and decision-making
e. Enhancing Data Governance
and Security: Implementing robust data governance frameworks and security measures to ensure data quality, compliance, and protection
f. Integrating Advanced Analytics Tools: Utilizing machine learning, AI, and other advanced analytics tools to derive actionable insights from data. This includes predictive analytics and automated decisionmaking
g. Promoting Data Democratization: Ensuring that data is accessible to all relevant stakeholders through userfriendly interfaces and dashboards. This empowers non-technical users to make data-driven decisions.
WHAT PROACTIVE STEPS ARE YOU TAKING TO ADDRESS EMERGING CYBERSECURITY THREATS, INCLUDING THOSE POSED BY AI-GENERATED ATTACKS?
Addressing emerging cybersecurity threats, especially those posed by AI-generated attacks, requires a multi-faceted approach. Here are some proactive steps:
a. Leveraging AI for Defense: Using AI and machine learning to detect and respond to threats in real-time. AI can analyze vast amounts of data to identify patterns and anomalies that may indicate a cyberattack
b. Continuous Monitoring and Threat Intelligence: Implementing continuous monitoring systems and utilizing threat intelligence to stay updated on the latest threats. This helps in identifying and mitigating risks before they can cause significant damage
c. Employee Training and Awareness: Conducting regular training sessions to educate employees about the latest
cybersecurity threats and best practices. This includes phishing simulations and awareness programs to ensure everyone is vigilant
d. Implementing Zero Trust Architecture: Adopting a Zero Trust approach, which means verifying every access request as though it originates from an open network. This minimizes the risk of unauthorized access
e. Regular Security Audits and Penetration Testing: Performing regular security audits and penetration testing to identify and fix vulnerabilities in the system. This proactive approach helps in strengthening the overall security posture
f. Advanced Encryption and MultiFactor Authentication (MFA): Using advanced encryption methods to protect sensitive data and implementing MFA to add an extra layer of security to user accounts.
HOW ARE YOU ALIGNING IT INITIATIVES WITH BUSINESS OBJECTIVES TO CLEARLY DEMONSTRATE VALUE AND DRIVE GROWTH?
Aligning IT initiatives with business objectives is essential for demonstrating value and driving growth. Here are some key strategies:
a. Understand Business Goals: IT leaders must have a deep understanding of the company's goals, mission, and overall strategy. This ensures that IT initiatives are designed to support these objectives
b. Collaborative Planning: Foster collaboration between IT and business teams. Regular communication and joint planning
sessions help ensure that IT projects are aligned with business needs and priorities
c. Define Clear Governance Structures: Establish a governance framework to review, approve, and prioritize IT projects based on their strategic value. This ensures resources are allocated to initiatives with the highest potential impact
d. Leverage Data-Driven Decision Making: Use analytics and business intelligence to provide actionable insights. This helps in making informed decisions that align IT efforts with business goal
e. Invest in Scalable and Flexible Technology: Choose technologies that can adapt to changing business needs. This flexibility allows IT to support growth and innovation effectively
f. Focus on Building a TechnologyDriven Culture: Encourage a culture where technology is seen as a key driver of business success. This
involves continuous learning and innovation across the organization.
HOW ARE YOU MANAGING THE COMPLEXITIES OF MULTICLOUD ENVIRONMENTS TO ENSURE SEAMLESS INTEGRATION AND OPERATION?
Managing the complexities of multicloud environments involves several strategies to ensure seamless integration and operation:
a. Unified Management Tools: Utilizing advanced orchestration and management tools like Kubernetes, Terraform, and multicloud management platforms to streamline operations across different cloud providers
b. Automation and DevOps Practices: Implementing automation and DevOps practices to manage deployments, updates, and scaling efficiently. This reduces manual intervention and minimizes errors
c. Consistent Security Policies:
Establishing consistent security policies and practices across all cloud environments. This includes using identity and access management (IAM) tools, encryption, and regular security audits
d. Data Integration and Interoperability: Ensuring data integration and interoperability between different cloud platforms. This can be achieved through APIs, data lakes, and middleware solutions
e. Cost Management and Optimization: Using cost management tools to monitor and optimize cloud spending. This helps in selecting the most cost-effective services and avoiding unnecessary expenses
f. Regular Training and Skill Development: Investing in continuous training and skill development for IT staff to keep them updated with the latest multi-cloud technologies and best practices.
WHAT INITIATIVES ARE
UNDERWAY TO OPTIMIZE THE PERFORMANCE OF YOUR IT SYSTEMS, ENSURING THEY SUPPORT BUSINESS GOALS EFFECTIVELY?
Aligned with business, we have initiated few strategies projects as below
a. Supply chain automations and modernizations
b. Efficient project management across large projects -end to end visibilities lime onboarding to delivery of projects
c. RPA and Leveraging AI/ML to improve the efficiencies
d. Strengthening cyber security posture across organisations.
AI strategy: The key to competitive edge
HOW ARE YOU DEVELOPING AND IMPLEMENTING A COMPREHENSIVE AI STRATEGY TO ENHANCE BUSINESS OPERATIONS AND MAINTAIN A COMPETITIVE EDGE?
In today’s rapidly evolving digital landscape, artificial intelligence (AI) is no longer a futuristic concept but a transformative force reshaping industries. Organizations aiming to maintain a competitive edge must develop and implement robust AI framework. This involves setting clearly defined business objectives and a structured roadmap that integrates AI across operations to improve efficiency, enhance decision-making, and unlock new growth opportunities. Businesses must identify high-impact use cases, invest in scalable technologies, and foster a culture of innovation. By embedding AI into core business functions such as customer service, supply chain management, and predictive analytics, businesses
can drive significant improvements in performance and competitiveness. Undoubtably right resources with adequate investment, talent, and partnerships is key for a successful AI strategy implementation. This would provide necessary infrastructure and knowledge to adapt such transformation within the
SHANAKA PERERA Head of IT
Ras Al Khaimah Tourism Development Authority
organization.
The strategy should address the ethical considerations and security concerns to ensuring that AI deployments are fair, transparent, and accountable. This involves establishing robust governance structures and risk management strategies to prevent ethical missteps and system failures. In addition, it is necessary to address data security, confidentiality and privacy concerns with right tools and processes.
IN WHAT WAYS ARE YOU MODERNIZING YOUR DATA ARCHITECTURE TO SUPPORT ADVANCED ANALYTICS AND DECISION-MAKING?
The foundation of any successful AI strategy is a modern and robust data architecture. To support advanced analytics and decision-making, businesses must shift from traditional siloed data systems to integrated, cloud-based platforms.
Data modernization involves consolidating disparate data sources into unified data lakes, enabling real-time access and analytics. This will enable data integration between different platforms and APIs that facilitate data exchange between different systems and processes. Emerging technologies such as data fabric and data mesh architectures are pivotal in creating an agile and scalable data environment. These frameworks allow seamless data sharing across departments while maintaining governance and security standards. Furthermore, integrating machine learning
algorithms into data pipelines automates data cleansing, validation, and processing, ensuring high-quality inputs for AI models.
Investing in metadata management, data cataloguing, and data visualization tools enhances transparency and usability. These tools empower stakeholders to access actionable insights, fostering a data-driven culture that supports informed decision- making and innovation. Furthermore, organizations must invest in training and upskilling their workforce to effectively use advanced analytics tools and technologies. This includes providing training programs and resources to help employees develop the necessary skills and knowledge to leverage data for decision-making.
WHAT PROACTIVE STEPS ARE YOU TAKING TO ADDRESS EMERGING CYBERSECURITY THREATS, INCLUDING THOSE
POSED BY AI-GENERATED ATTACKS?
As organizations increasingly rely on digital ecosystems, cybersecurity threats— including those posed by AI—are becoming more sophisticated. Proactive measures are essential to safeguard sensitive data and maintain operational integrity. One significant challenge is the rise of AI-generated threats, such as deepfake-based phishing attacks and adversarial machine learning. To combat these risks, businesses are adopting AI-driven cybersecurity tools that leverage anomaly detection, behavioural
analytics, and real-time threat intelligence. For instance, machine learning algorithms can identify unusual patterns in network traffic, enabling early detection of potential breaches. Additionally, organizations are implementing zero-trust architectures to minimize access vulnerabilities and adopting multi-factor authentication to enhance user verification processes. Regular training and awareness programs for employees are equally important. Educating staff about emerging cyber threats ensures they recognize and respond to suspicious activities effectively. Furthermore, businesses are collaborating with industry peers and government bodies to stay ahead of threat trends and share best practices. Furthermore, organizations should establish incident response plans and conduct regular drills to ensure that they are prepared to respond effectively to cyber incidents. This includes defining roles and responsibilities, establishing communication protocols, and conducting post-incident reviews to identify areas for improvement.
HOW
ARE YOU ALIGNING INITIATIVES WITH BUSINESS OBJECTIVES TO CLEARLY DEMONSTRATE VALUE AND DRIVE GROWTH?
IT initiatives that fail to align with business objectives often struggle to demonstrate tangible value. To avoid this, organizations are required to have a closer collaboration between IT teams and business stakeholders. This alignment ensures technology
investments support strategic priorities such as revenue growth, market expansion, and customer satisfaction.
Automation has become a cornerstone of IT performance optimization, streamlining routine tasks and freeing IT professionals to focus on strategic projects. Tasks such as software updates, system backups, and network diagnostics are now automated, reducing manual intervention and the risk of human error. Furthermore, tools like Robotic Process Automation (RPA) and Infrastructure as Code (IaC) ensure consistency, speed, and efficiency in IT operations, enabling faster deployments and improved service delivery.
One effective approach is adopting an outcomes-based IT strategy. By defining clear goals and key performance indicators (KPIs), organizations can measure the impact of IT projects on business outcomes. For example, deploying a customer relationship management (CRM) system should be tied to specific objectives such as improving lead conversion rates or enhancing customer retention. Moreover, agile methodologies and iterative development cycles enable IT teams to deliver incremental value, adapting quickly to changing business needs. Regular communication between IT leaders and executive teams ensures alignment remains strong and evolving priorities are addressed promptly.
HOW ARE YOU MANAGING THE COMPLEXITIES OF MULTI-CLOUD ENVIRONMENTS
TO ENSURE SEAMLESS INTEGRATION AND OPERATION?
The complexities of multi-cloud environments present both opportunities and challenges for organizations. While leveraging multiple cloud providers enables flexibility, scalability, and cost optimization, it also introduces operational silos, integration difficulties, and security risks. To manage these complexities, businesses are adopting unified cloud management platforms that provide a single pane of glass for monitoring, orchestration, and governance across cloud environments. These platforms simplify workload migration, automate resource provisioning, and enforce consistent security policies.
Compliance and security are prioritized through robust identity and access management (IAM) practices, encryption protocols, and regular audits. By balancing innovation with control, businesses can harness the full potential of multi-cloud environments while minimizing risks.
WHAT INITIATIVES ARE UNDERWAY TO OPTIMIZE THE PERFORMANCE OF YOURIT SYSTEMS, ENSURING THEY SUPPORT BUSINESS GOALS EFFECTIVELY?
The performance of IT systems directly impacts a company’s ability to achieve its objectives, as inefficiencies can lead to downtime, reduced productivity, and diminished customer satisfaction. To ensure systems operate effectively, organizations
are investing in continuous performance monitoring and optimization initiatives. This involves leveraging advanced tools that provide real-time visibility into system health, application performance, and user experience. Predictive maintenance powered by AI is transforming how IT systems are managed. By analysing historical data, AI models can predict potential failures and recommend preventive actions, minimizing downtime and maintaining productivity. Additionally, automation tools streamline routine tasks, freeing IT teams to focus on strategic projects. This includes solutions like Application Performance Management (APM) tools and Network Performance Monitoring (NPM) systems provide actionable insights by identifying performance bottlenecks, latency issues, and resource utilization trends. These tools empower IT teams to resolve issues proactively before they impact end- users or critical business processes Scalability is another critical aspect of IT optimization. Cloud-native architectures enable businesses to scale resources dynamically based on demand, ensuring cost efficiency and uninterrupted service delivery. Organizations are also conducting regular system audits to identify bottlenecks and implement upgrades that align with evolving business requirements. For instance, e-commerce companies leverage elastic computing resources during high-traffic events like Black Friday to maintain a seamless shopping experience for customers.
Blend of Strategy and Operational Excellence
HOW ARE YOU DEVELOPING AND IMPLEMENTING A COMPREHENSIVE AI STRATEGY TO ENHANCE BUSINESS OPERATIONS AND MAINTAIN A COMPETITIVE EDGE?
My approach is centered around a pragmatic, business-case-driven methodology, ensuring that every AI initiative aligns directly with
our strategic objectives and delivers tangible value. We begin by pinpointing specific business challenges and opportunities where AI can add immediate tangible value. This involves collaborating closely with various departments to understand their pain points and explore
DR SYLVIA SATHEKGE Founder & CEO eTSHADI Consulting Services
how AI solutions can optimize processes, improve decisionmaking, and drive innovation. While AI is a powerful tool, we never lose sight of the human element. AI is a powerful tool, but it's the synergy of human expertise and intelligent machines that truly unlocks transformative potential. We're committed to empowering our workforce with the skills and knowledge needed to collaborate effectively with AI systems, ensuring responsible and ethical implementation at every stage.
IN WHAT WAYS ARE YOU MODERNIZING YOUR DATA ARCHITECTURE TO SUPPORT ADVANCED ANALYTICS AND DECISION-MAKING?
Modernizing our data architecture is paramount to supporting advanced analytics and informed decision-making. At the core of it is Data governance and Quality to ensure data quality, consistency, and compliance
with relevant regulations. As well as democratisation of data empowering users across the organization with selfservice analytics tools and data visualization platform, embedded on security and access control.
WHAT PROACTIVE STEPS ARE YOU TAKING TO ADDRESS EMERGING CYBERSECURITY THREATS, INCLUDING THOSE
POSED BY AI-GENERATED ATTACKS?
To combat the evolving cybersecurity landscape, especially the rise of AIpowered attacks, we adopt a multi-pronged approach. This includes empowering employees through robust security awareness training and phishing simulations, leveraging AI for threat detection and automated response, and staying ahead of the curve by actively monitoring threat intelligence and engaging in vulnerability scanning. We foster a security-first culture by
embedding security into all our processes, encouraging employee vigilance, and demonstrating leadership commitment to cybersecurity from the top down..
HOW DO YOU KEEP UP WITH THE LATEST INNOVATIONS AND TRENDS IN TECHNOLOGY?
Staying ahead in the technology game is like surfing a neverending wave—you have to be agile, curious, and ready to learn continuously. Here’s how I do it: Learning by Doing: Nothing beats hands-on experience. I often experiment with emerging technologies in controlled environments to understand their practical applications. Network as a Learning Grid: Surrounding myself with a diverse network of peers, thought leaders, and even competitors keeps me on the edge. Conversations at conferences or even on LinkedIn can offer perspectives that no
article or book can. Encouraging an Internal Innovation Hub: I believe in creating a "lab mindset" within the team where trying out new ideas and technologies is the norm, not the exception. This continuous loop of experimentation keeps us ahead.
HOW ARE YOU ALIGNING IT INITIATIVES WITH BUSINESS OBJECTIVES TO CLEARLY DEMONSTRATE VALUE AND DRIVE GROWTH?
We ensure that our technology investments deliver tangible business value by starting with a clear business case that outlines the desired outcomes and measurable benefits. We prioritize initiatives based on their strategic impact and potential ROI, actively track their performance against KPIs, and foster a collaborative culture between IT and business teams to ensure everyone is working
towards common goals. This approach ensures technology serves as a strategic enabler of our overall business objectives, driving growth and innovation.
HOW ARE YOU MANAGING THE COMPLEXITIES OF MULTI-CLOUD ENVIRONMENTS TO ENSURE SEAMLESS INTEGRATION AND OPERATION?
We effectively manage our multi-cloud environment by strategically selecting cloud providers based on specific workload needs, utilizing centralized management tools for efficient orchestration and security enforcement, and prioritizing data integration for seamless access across platforms. We also focus on cost optimization through continuous monitoring and resource optimization, while investing in our team's skills and expertise to ensure we maximize the value of
our multi-cloud strategy.
WHAT INITIATIVES ARE UNDERWAY TO OPTIMIZE THE PERFORMANCE OF YOUR IT SYSTEMS, ENSURING THEY SUPPORT BUSINESS GOALS EFFECTIVELY?
We're committed to continuously improving our IT performance to support business growth and innovation. This involves migrating to the cloud for scalability and costeffectiveness, modernizing applications for enhanced performance, and automating IT operations for increased efficiency. We also prioritize user experience by actively monitoring application performance and gathering user feedback. Finally, we invest in our IT team's skills and expertise, ensuring they have the knowledge and tools to optimize our systems and drive continuous improvement. Digital Transformation is a Journey !
BlueVerve
THE HEARTBEAT OF HEALTHY LIVING
Staying Ahead in AI Gamble
HOW ARE YOU DEVELOPING AND IMPLEMENTING A COMPREHENSIVE AI STRATEGY TO ENHANCE BUSINESS OPERATIONS AND MAINTAIN A COMPETITIVE EDGE?
As the Head of IT, our AI strategy is a cornerstone of transforming business operations and sustaining a competitive edge. By aligning AI initiatives with organizational goals, we ensure that every project delivers measurable impact, driving innovation and efficiency. Our approach begins with a meticulous evaluation of business processes to identify inefficiencies and opportunities for AI-driven improvements. Key focus areas include enhancing customer engagement, optimizing operational efficiency, and improving decision-making. For example, we implement AI-powered chatbots and virtual
assistants that utilize natural language processing (NLP) to deliver 24/7 personalized customer support, reducing costs and improving satisfaction. Additionally, we leverage predictive analytics to anticipate trends, understand customer behaviour, and proactively mitigate risks. Real-time data analysis empowers informed, forward-looking decision-making. Machine learning models are also applied to streamline supply chain management, improve resource allocation, and minimize operational bottlenecks.
AKHTAR ALI Head of IT Section
A robust data infrastructure underpins our AI initiatives. We are investing in secure, scalable, and interoperable systems to ensure high-quality data is readily available for AI training and deployment. Recognizing the importance of human expertise, we prioritize workforce development by equipping teams with advanced AI skills and fostering a culture of continuous innovation.
Through this comprehensive strategy, we are positioning our organization at the forefront of AI-enabled transformation while delivering tangible business value.
IN WHAT WAYS ARE YOU MODERNIZING YOUR DATA ARCHITECTURE TO SUPPORT ADVANCED ANALYTICS AND DECISION-MAKING?
Modernizing our data architecture is integral to our AI strategy, enabling advanced analytics and data-driven decision-making to drive organizational efficiency and maintain a competitive edge.
1. Building a Scalable Infrastructure:
We have transitioned from traditional legacy systems to modern, cloud-based platforms designed for scalability and flexibility. These platforms support massive data volumes and provide advanced tools for real-time analytics, ensuring seamless management of both structured and unstructured data.
2. Enhancing Data Integration and Interoperability:
To eliminate silos, we employ integration tools and data lakes that unify information from
diverse sources into a centralized repository. This consolidation not only improves accessibility and consistency across the organization but also ensures seamless interoperability using APIs and middleware.
3. Leveraging Advanced Analytics Tools:
We utilize machine learning and AI-powered platforms to derive actionable insights. Predictive analytics uncovers trends and customer behaviors, while prescriptive analytics provides strategic recommendations. These tools are vital for optimizing processes such as resource allocation, risk mitigation, and operational efficiency.
4. Ensuring Data Governance and Quality:
Robust data governance frameworks ensure compliance with regulatory standards while maintaining data integrity. Regular audits, validation, and cleansing processes are conducted to uphold accuracy and reliability, which are critical for AI and analytics success.
5. Implementing Real-Time Data Processing:
Real-time data pipelines empower immediate insights and visualizations, facilitating agile responses to dynamic scenarios like customer interactions, market shifts, and operational challenges. By modernizing our data architecture, we create a foundation for advanced AI and analytics initiatives, enabling informed, real-time decisionmaking while fostering innovation and sustained business growth.
WHAT PROACTIVE STEPS
ARE YOU TAKING TO ADDRESS EMERGING
CYBERSECURITY THREATS,
INCLUDING THOSE POSED BY AI-GENERATED ATTACKS?
To safeguard our systems and data in an evolving threat landscape, we are implementing a proactive and multi-layered cybersecurity strategy aligned with our AI-driven initiatives to maintain operational resilience and a competitive edge.
1. AI-Powered Threat Detection and Response:
We utilize AI and machine learning tools to enhance threat detection capabilities, analysing network traffic and user behaviour in realtime. Predictive analytics enables us to anticipate and neutralize potential threats, including sophisticated AI-generated attacks, before they escalate.
2. Advanced Endpoint Protection: Our endpoint protection strategy incorporates AI-driven antivirus and anti-malware solutions. These systems identify and block malicious activities, including zeroday threats, through behavioural analysis, offering superior protection compared to traditional signature-based methods.
3. Cybersecurity Training and Awareness:
Regular training sessions educate employees on cybersecurity risks, such as phishing and AI-generated social engineering attacks. By fostering a culture of security awareness, we empower our workforce to act as the first line of defence against threats.
4. Incident Response and Recovery:
We maintain a robust incident response plan to ensure rapid
containment and recovery in the event of a breach. Regular simulations and drills test and refine our response protocols, ensuring preparedness for both conventional and AI-enabled attacks.
5. Securing the Supply Chain:
To mitigate risks arising from third-party vendors, we enforce stringent security requirements, conduct regular audits, and ensure compliance with established cybersecurity standards. This approach strengthens the security of our extended ecosystem.
6. Investing in Cybersecurity Research and Collaboration:
Staying ahead of emerging threats is vital. We invest in cybersecurity research, collaborate with industry experts, and participate in threat intelligence networks to remain vigilant against new attack vectors, including AI-driven threats. Through these measures, we are building a robust, adaptive cybersecurity framework that addresses both current and future challenges, ensuring the organization remains resilient in an increasingly AI-driven world.
HOW ARE YOU ALIGNING IT INITIATIVES WITH BUSINESS OBJECTIVES TO CLEARLY DEMONSTRATE VALUE AND DRIVE GROWTH?
Aligning IT initiatives with business objectives is fundamental to our strategy for delivering measurable value and driving sustained growth. By fostering collaboration, prioritizing strategic outcomes, and embracing innovation, we ensure IT serves as a critical enabler of organizational success.
1. Collaborative Planning and Strategic Alignment:
We engage closely with business leaders to understand organizational goals, challenges, and priorities. This collaboration ensures IT initiatives are designed to address key objectives, such as enhancing customer satisfaction, improving operational efficiency, and driving revenue growth.
2. Outcome-Driven Project Selection:
Every IT initiative is evaluated based on its potential to deliver tangible business outcomes. For instance, deploying AI-driven customer service tools not only reduces costs but also enhances customer experience, aligning directly with business growth objectives.
3. Agile Methodology for Flexibility:
We adopt agile project management practices to maintain alignment with evolving business needs. Iterative development, regular reviews, and feedback loops ensure IT projects remain adaptable and deliver maximum impact.
4. Defining and Measuring Success:
Clear key performance indicators (KPIs) are established to measure the success of IT initiatives. Metrics such as increased operational efficiency, cost reductions, customer satisfaction improvements, and accelerated time-to-market illustrate the strategic value of IT investments.
5. Driving Innovation and Continuous Improvement: IT is positioned as a driver of innovation, continuously
exploring emerging technologies to unlock new opportunities. By fostering a culture of continuous improvement, we ensure IT initiatives consistently contribute to long-term growth and competitive advantage. By aligning IT initiatives with business objectives, we ensure that technology drives measurable value, supports organizational goals, and creates a foundation for sustainable growth and innovation.
HOW ARE YOU MANAGING THE COMPLEXITIES OF MULTI-CLOUD ENVIRONMENTS TO ENSURE SEAMLESS INTEGRATION AND OPERATION?
Managing a multi-cloud environment is a key component of our IT strategy to enhance operational efficiency, ensure seamless integration, and support business growth. By adopting a strategic, structured approach, we address the inherent complexities while maximizing the benefits of a multi-cloud setup.
1. Cloud Strategy Development:
We have established a clear multi-cloud strategy that defines specific roles for each platform based on performance, security, and cost requirements. This ensures workloads are optimally distributed and aligned with business objectives.
2. Unified Management Tools: To simplify management across multiple platforms, we leverage unified cloud management tools that provide comprehensive visibility and control. These tools enable seamless monitoring, provisioning, and scaling of
resources across all environments from a single interface.
3. Interoperability and Integration: Ensuring seamless integration between cloud platforms is a priority. We employ APIs, middleware, and containerization technologies, such as Kubernetes, to enable interoperability and the portability of applications across different cloud providers.
4. Cost Management and Optimization:
To ensure cost efficiency, we continuously monitor cloud usage and implement policies to avoid overprovisioning. Automated tools and regular audits help identify inefficiencies, enabling us to take corrective actions and achieve significant cost savings.
5. Security and Compliance: Consistent security policies are applied across all platforms to safeguard data and mitigate risks. Automated compliance checks ensure adherence to regulatory standards, regardless of the cloud provider, maintaining a robust security posture.
6. Disaster Recovery and Resilience:
Leveraging the redundancy inherent in a multi-cloud environment, we have implemented robust disaster recovery plans to ensure business continuity. This minimizes downtime risks and enhances overall resilience. Through effective management of multi-cloud environments, we enable seamless integration, drive operational efficiency, and maintain consistent performance, ensuring our IT initiatives align with and support organizational goals.
WHAT INITIATIVES ARE UNDERWAY TO OPTIMIZE THE PERFORMANCE OF YOUR IT SYSTEMS, ENSURING THEY SUPPORT BUSINESS GOALS EFFECTIVELY?
Optimizing IT system performance is essential to ensuring they effectively support business objectives. Our initiatives focus on modernization, monitoring, and proactive management.
System Modernization: We are upgrading legacy systems to modern architectures, such
as microservices and cloudnative platforms. These updates improve scalability, reliability, and performance, enabling IT systems to meet evolving business demands.
Performance Monitoring and Analytics: Real-time monitoring tools are deployed to track system performance and identify bottlenecks. Advanced analytics help us understand usage patterns and predict potential issues before they impact operations.
Automation and Orchestration:
Automation is a key focus area. We use orchestration tools to manage workloads dynamically, ensuring optimal resource utilization and reducing manual intervention.
Capacity Planning: Regular capacity assessments ensure that IT systems can handle future growth. By forecasting demand, we proactively scale resources to avoid downtime or performance degradation.
Security and Reliability: Enhanced security measures are integrated into all systems to ensure they remain robust and reliable.
Regular patching, vulnerability assessments, and disaster recovery tests are conducted to maintain system integrity.
User Feedback: We actively seek feedback from users to identify areas for improvement. This feedback loop helps us fine-tune systems to better align with business needs.
By implementing these initiatives, we ensure our IT systems deliver consistent, high-performance support that drives organizational success and achieves strategic objectives.
DEFINING THE NEXT ERA OF DIGITAL TRANSFORMATION
CAAS Research presented key findings from its Middle East IT Industry Foresight 2025 report during a readout event at the DIFC Academy. The report, compiled from insights shared by over 450 tech leaders across various industry verticals, highlights the strategic trends shaping the region’s IT landscape. Key focus areas include cybersecurity, artificial intelligence (AI), digital transformation, cloud computing, and the Internet of Things (IoT).
Below is a summary of the survey’s key findings on digital transformation trends.
DEMOGRAPHICS
The respondent demographics for the Middle East IT Industry Foresight 2025 report provide a widespread view of the diverse industries, organizational sizes, and IT maturity levels across the region. This section explores the representation of various sectors, organizational capacities, and IT readiness to underscore the dynamic nature of digital transformation in the Middle East.
DESIGNATIONS
INDUSTRY REPRESENTATION
The survey portrays responses from a wide spectrum of industries, reflecting the multifaceted nature of the Middle East’s economy.
CURRENT STATUS
40.3% of organizations in the Middle East are categorized as “Advanced” in IT maturity, while 52.8% are “Intermediate.”
• Key sectors such as banking and manufacturing lead in adopting predictive analytics, automation, and cloud computing.
• Emerging adopters, such as education and hospitality, are using digital tools to enhance learning and guest experiences but require improved scalability
SECTOR
INSIGHTS
Compliance challenges and infrastructure gaps hinder rapid transformation; only 26.7% of organizations are “very confident” in their digital systems.
Q. How confident are you in your organization’s digital maturity measures to protect patient data?
51.2% of firms have adopted advanced digital measures for property valuation and transaction management.
Q. How do you ensure data security and privacy in your real estate IT infrastructure?
GLOBAL CIO EXPERTISE, DRIVING INNOVATION FOR PEOPLE AND PLANET
CONSULTING | RESEARCH | ON DEMAND
RESEARCH
INSIGHT & BENCHMARKING
EMERGING TECHNOLOGIES
GOVERNANCE
RISK & COMPLIANCE
CYBER SECURITY
DIGITAL TRANSFORMATION
DEOPS & DIGITAL INFRASTRUCTURE
ERP & CRM
