Tech Interviews

Beyond Detection: Turnitin’s Vision for AI Transparency

Published

6 months ago

December 15, 2025

Integrator Web-Admin

Student working on a silver laptop and taking notes with a pen in a library setting, with bookshelves visible in the background.

Exclusive interview with Amal Dimashki, Regional Director, MENAT, Turnitin.

Portrait shot of Amal Dimashki, Regional Director, MENAT, Turnitin — Amal Dimashki, Regional Director, MENAT, Turnitin

What new teaching approaches are educators adopting today? Could you also share some of the strategies institutions are using to build AI literacy within their teaching community?

Education is experiencing a major transformation as artificial intelligence becomes more integrated learning experience. Educators are moving beyond traditional teaching methods and adopting dynamic, student-centered approaches. Blended learning, flipped classrooms, and project-based instruction are quickly becoming ‘the norm’, all supported by digital tools that personalize learning and foster deeper engagement.

A key shift is the rise of formative assessment practices. Continuous, adaptive feedback is changing how instructors support their students. AI platforms now provide real-time insights into individual progress, helping educators offer more tailored guidance. This not only improves learning outcomes but also encourages students to take better ownership of their educational journeys.

Moreover, Institutions are placing strong emphasis on building AI literacy. Professional development initiatives now cover technical skills, ethical considerations, prompt design, and the pedagogical shifts needed to use AI responsibly. Cross-functional committees ensure that policies, practices, and institutional values remain aligned.

AI literacy is being woven into curricula, so that both faculty and students hone the critical skills needed to engage purposefully with emerging technologies. Institutions are also working to promote equity by supporting underrepresented groups and ensuring broad access to essential AI tools.

Strategic partnerships with industry help keep education relevant to workforce needs. The most forward-thinking institutions see AI literacy as an ongoing commitment and foster a culture of continuous learning.

Has generative AI accelerated the shift away from traditional educational values? Do you believe reading and writing habits among students are being compromised more than in previous generations?

Generative AI has certainly advanced the pace of change, yet this transformation reflects evolution rather than erosion. The core values of education: critical thinking, creativity, integrity, and the pursuit of knowledge, remain steadfast. What is shifting is the way learners engage with these values.

Concerns about these changes are valid. The convenience of AI-generated content can tempt students to bypass the cognitive ‘creative’ effort essential for meaningful learning. Early research suggests that excessive reliance on AI may constrain creativity and weaken essential intellectual processes. Writing is not putting one word in front of another; it is the process of exploring thoughts, coping with the shades of meaning, and generating original ideas. Sidestepping this crucial process can hinder a student’s intellectual development.

The relationship between humanity and technology has been an eternal dance, since every generation has faced challenges brought by new inventions. The difference today is the speed and scale of change. Students must now learn to read, write, and critically evaluate AI-generated material while recognizing bias and practicing ethical usage.

AI should not be seen as a threat to traditional educational values but as a tool that can redefine and reinforce said values. The responsibility falls on educators to ensure that AI serves as a complement to authentic thinking, not a substitute for it. To achieve that, they should provide clear instruction and guidance, set expectations, and develop a robust foundation in both digital and human literacy.

What new forms of academic misconduct have emerged with digital tools—such as contract cheating, essay mills, and AI-driven paraphrasing?

The digital era has introduced new dimensions of academic mischief (that being misconduct). While the underlying behaviors are nothing new, the tools that facilitate them have become advanced and easily accessible.

Contract cheating platforms now let students outsource assignments with the click of a button. Essay mills, powered by generative AI, now draft customized essays that even the most vigilant detectors, and educators cannot detect. Meanwhile, advanced paraphrasing tools can rewrite existing content , sidestepping traditional plagiarism detectors with ease.

Collaboration, too, has taken on a new twist. With instant messaging and AI helpers, students can share answers in a matter of seconds or generate responses that they cleverly tweak to mask their true origins.

Tackling these challenges calls for more than detection tools. It requires a comprehensive strategy that combines technology with clear institutional policies, engaging education, and a campus culture rooted in integrity. The goal isn’t just to detect misconduct, but to make it less tempting by inspiring students to choose the ethical path to delivering original thoughts.

Should educators have access to AI detection tools to identify cheating in the classroom? Given that Gen-Z is often more technologically savvy than their teachers, how can educators stay ahead?

Educators should have access to AI detection tools, while keeping in mind that such tools are but helpful guides- not mere flawless judges. The true value of these resources lies in the transparency and context they offer, helping to start a constructive conversation between educator and student.

At Turnitin, tools such as Turnitin Clarity allow educators to review the entire writing process from start to finish, including: early drafts and potential AI involvement instances. Such features help instructors set clearer expectations, offer more targeted feedback, and grade more fairly.

The availability of detection tools also serves as a deterrent, introducing a sense of uncertainty for students who might consider using AI improperly. However, detection alone is not enough. Educators should invite their students to have open discussions highlighting the importance of learning integrity, responsible AI use, and the value of an authentic learning experience.

As for keeping pace with tech-savvy students, educators need ongoing professional development, clear institutional policies, and supportive learning communities. Inviting students to these discussions can foster a sense of shared responsibility.

The ultimate goal is not to catch students but to guide them toward ethical, skill-building use of technology.

What does the future of writing look like with the rise of AI tools like ChatGPT and Claude? Which types of assessments are naturally more resistant to AI-assisted cheating—such as practical projects, oral evaluations, or in-class writing?

The future of writing will be a partnership between human creativity and AI assistance. While AI can support idea generation, drafting, and editing, the essence of meaningful writing will always rest on originality, critical thinking, and the unique voice of the individual.

As AI becomes increasingly integrated into writing processes, assessment methods must adapt. The following types of assessments are more resilient to AI-assisted misconduct:

In-class writing assignments with restricted access to external tools and resources.
Oral assessments, including presentations and debates that test real-time thinking.
Hands-on projects that measure skills beyond AI’s reach.
Assessments focused on drafts and revisions to track progress over time.
Reflective tasks that require students to explain their thought process and decision-making.

These approaches prioritizes learning and process rather than the final product. They foster deeper learning by valuing originality, engagement, and genuine understanding.

And finally, what’s the story behind Turnitin, and where do you see the platform heading next?

Turnitin began with a clear mission: to uphold academic learning in a rapidly changing educational landscape. Over time, it has grown from a plagiarism detection service into a comprehensive learning and integrity platform used and trusted by more than 16,000 institutions in more than 185 countries..

Our goal is to provide educators with the tools they need to promote authentic learning. This includes detecting misconduct, but it also advances transparency, fairness, and continuous improvement.

Looking ahead, Turnitin is enhancing its AI detection capabilities, developing inclusive data models and tools that reveal the entire learning process. We are committed to minimizing bias and supporting a diverse range of learners while ensuring our solutions remain accurate and equitable.

We are also strengthening partnerships across education, industry, and policy to support AI literacy and responsible use. As technology evolves, our focus stays the same: to bridge traditional academic values with new technologies, and to empower educators and students to move forward with integrity and purpose.

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Tech Interviews

NETWORKS MUST EVOLVE BEFORE AI CAN SCALE

Published

4 hours ago

June 24, 2026

Integrator Web-Admin

Rohit Chowdhary, Head of Advanced Consulting Services at Nokia, sat down with The Integrator to share insights into the company’s vision for enabling the AI Supercycle. He outlined how Nokia’s end-to-end portfolio spans everything from AI-ready connectivity and energy-efficient 800G data centre networking to intelligent, self-optimising home Wi-Fi experiences powered by AI.

A key focus of the discussion was Nokia’s shift from strategic advisory to real-world execution through its dedicated Automation Excellence Practice, helping operators translate ambitious transformation roadmaps into measurable outcomes. The conversation also highlighted the growing importance of integrated, intelligent and secure networks that can support rising AI workloads, eliminate infrastructure bottlenecks and unlock tangible business value, while maintaining the highest standards of security, privacy and resilience

Could you begin by telling us about your role at Nokia and the journey that brought you here?

I lead Nokia’s Advanced Consulting Services business across Europe, the Middle East and Africa. My journey with Nokia spans nearly seventeen years, beginning at a time when consulting was largely focused on network transformation initiatives. Over the years, I have worked closely with operators around the world on transformation programmes, analytics adoption, customer experience management and digital modernization.

As the industry evolved, so did our consulting focus. Following the Nokia and Alcatel Lucent merger, we established what is today known as Advanced Consulting Services. The organization now spans several domains, including Security, Business monetization, Cloud and Technology transformation, Autonomous Networks, and Data & AI.

More recently, we launched an Automation Excellence Practice. The idea was simple. Customers often appreciated our strategic blueprints but needed practical expertise to implement them. Today, we have specialized engineers who combine telecom expertise, AI capabilities and software development skills to turn strategic visions into real automation pipelines, AI-driven workflows and production-ready use cases. Our role is to help customers move from concept to measurable business outcomes.

Nokia is often associated with connectivity, but the company is increasingly talking about AI readiness. How does Nokia’s infrastructure portfolio support this transition?

AI is creating what we describe as an AI Supercycle. It is transforming everything from data centres and cloud infrastructure to network architectures and edge computing. Supporting this shift requires a complete ecosystem rather than isolated technologies.

Nokia’s portfolio addresses this across multiple layers. On the network side, we continue to innovate in radio technologies, including AI-RAN capabilities developed alongside strategic partners such as Nvidia. We also have a strong optical networking and IP portfolio that enables the high-capacity connectivity required between data centres, edge locations and cloud environments.

One area that excites me is our innovation in data centre networking. We are introducing highly efficient coherent optical technologies and advanced switching platforms that significantly reduce infrastructure footprints while improving performance and energy efficiency. These innovations are becoming increasingly important as organizations invest in AI factories, AI grids and large-scale inference environments.

Beyond connectivity, we also provide intelligent automation layers through our Autonomous Networks platforms, enabling operators to manage complex, multi-vendor environments more efficiently and intelligently.

What are some of the biggest infrastructure bottlenecks you see operators and enterprises facing as AI adoption accelerates?

One of the biggest challenges is understanding that AI infrastructure is not just about compute power. Organizations often focus heavily on GPUs and processing capabilities, but connectivity can quickly become the limiting factor.

You can deploy the most powerful AI infrastructure available, but if the network cannot support the required data movement between racks, data centres and edge locations, performance suffers. This is where intelligent networking becomes critical.

At Nokia, we are helping customers design what we call AI-ready connectivity. This includes high-capacity optical networking, intelligent routing and the seamless interconnection of compute environments. As AI workloads become increasingly distributed, the ability to move data efficiently becomes just as important as the ability to process it.

On the consumer side, Nokia has been showcasing AI-driven Wi-Fi management capabilities. How does this improve the end-user experience?

The home network has become far more complex than it was a few years ago. Consumers expect flawless connectivity across multiple devices, applications and services.

Our AI-enabled Wi-Fi solutions continuously monitor network performance and user experience. They can identify coverage gaps, detect congestion, analyze interference patterns and even recommend or automatically implement corrective actions.

The goal is to create a self-optimizing network environment where many issues can be resolved autonomously before they impact the user. This reduces support requirements for service providers while delivering a more consistent and reliable experience for customers.

The Middle East is witnessing an unprecedented surge in data centre investments. How do you see this shaping Nokia’s opportunities in the region?

The Middle East has emerged as one of the most dynamic markets globally for AI infrastructure investments. Governments and enterprises are actively investing in sovereign AI capabilities, advanced data centres and digital ecosystems.

This creates significant opportunities, not only for Nokia but for the broader technology industry. The success of these initiatives depends on having secure, scalable and efficient connectivity between compute resources, cloud environments and end users.

Our role is to help customers build these foundations. Whether it is data centre interconnectivity, optical networking, intelligent routing or autonomous operations, Nokia’s technologies are designed to support the scale and performance requirements of AI-driven economies.

As data volumes continue to grow, security and data sovereignty are becoming increasingly important. How is Nokia addressing these concerns?

Security is deeply embedded into Nokia’s strategy and innovation roadmap. As a European technology company, trust, resilience and security have always been fundamental principles in how we design and operate our solutions.

While we continue to invest heavily in AI innovation, we are equally focused on strengthening security capabilities across our portfolio. This includes advanced network security architectures, AI-driven threat detection and preparations for future technologies such as quantum-safe networking.

We are actively engaged with industry bodies, standards organizations and ecosystem partners to help define the next generation of secure digital infrastructure. As AI becomes increasingly pervasive, security must evolve alongside it, and that is an area where Nokia continues to invest significantly.

Looking ahead, what excites you most about the future of AI-driven networks?

What excites me most is the convergence of AI, automation and connectivity. Networks are evolving from passive transport layers into intelligent platforms that can learn, adapt and optimize themselves.

The future will be defined by autonomous operations, AI-native networks and real-time decision-making at scale. Organizations that successfully combine these capabilities will unlock entirely new business models and levels of operational efficiency.

For us, the opportunity is not just about deploying technology. It is about helping customers transform the way they operate, innovate and create value in an increasingly AI-driven world.

Tech Interviews

Securing the Future of Enterprise AI: WSO2’s Middle East Strategy

Published

1 day ago

June 23, 2026

Integrator Web-Admin

Exclusive interview with Uday Shankar Kizhepat – Vice President and General Manager for ME

How is WSO2 sailing through in the region amidst the uncertainty?

The Middle East continues to be one of the most dynamic technology markets globally. While there is uncertainty in the broader geopolitical and economic environment, we see that organizations across the region remain committed to their digital transformation programs and continue to invest in the areas of API modernization, application integration, Identity and access management, data connectivity, cloud transformation and AI enablement. This is because digitization is now a business necessity rather than a discretionary investment.

For WSO2, this has translated into continued demand for solutions that help enterprises modernize systems, securely manage digital identities, integrate increasingly complex technology landscapes, and adopt AI responsibly. We are seeing particularly strong interest from government, financial services, telecommunications, and energy sectors, where organizations are focused on improving operational agility while maintaining security, compliance, and resilience.

Any new products / solutions that have been introduced for the region?

One of the most significant developments for us is our vision for the Agentic Enterprise and the introduction of WSO2’s Agentic Enterprise Fabric. Rather than treating AI as a standalone capability or bolt-on feature, we have embedded AI capabilities into the very fabric of our platform.

The Agentic Enterprise Fabric enables organizations to securely connect data, APIs, applications, identities, and AI agents across the enterprise. This creates a foundation where intelligent agents can operate with the right context, governance, and security controls while delivering measurable business outcomes.

The WSO2 Agent Manager is an open platform for the full life-cycle of enterprise grade AI agents. The WSO2 AI gateway helps in governance by monitoring the usage, applying guardrails, optimizing costs & exposing APIs as MCP tools so that AI agents can safely interact. The WSO2 agent ID helps to register, authenticate, authorize and audit AI agents as first class identities.

This approach is resonating strongly in the Middle East, where organizations are moving beyond AI experimentation and looking for scalable, enterprise-grade AI implementations that can be governed and integrated into existing business processes.

What are the key solutions that have kept WSO2 ahead of its other competitors in the region?

Our differentiation comes from helping customers address key critical challenges simultaneously: APIs, integration, identity, and AI adoption.

Our API management platform helps companies ship, govern and monetize APIs, AI and MCP across any gateway or any cloud. Our integration capabilities enable organizations to connect legacy and modern systems quickly, helping accelerate digital initiatives. Our identity and access management solutions provide the security and trust layer needed for large-scale digital services. Last but not the least, our Agentic Enterprise Fabric brings AI into the core of the enterprise architecture rather than layering it on top as an afterthought.

All of this combined with our open-source heritage, flexible deployment options, and ability to support sovereign cloud and hybrid environments, gives customers the freedom to innovate with zero lock-in. This flexibility is critical in the Middle East region, where organizations increasingly prioritize digital sovereignty, data control, and long-term technology independence.

What are your plans for the coming few months in the region?

Our commitment to the growth and development of the Middle East region remains. We have just completed registering our office in KSA which reiterates our focus on deepening our engagement with customers and partners across the GCC and wider Middle East. We are investing in helping organizations move from AI pilots to production-ready deployments, while continuing to support large-scale modernization and digital transformation initiatives.

We also plan to strengthen our partner ecosystem, expand our presence in key markets, and work more closely with organizations pursuing digital sovereignty initiatives. As governments and enterprises accelerate their AI and digital agendas, we see significant opportunities to help them build secure, connected, and intelligent digital platforms for the future.

What’s your anticipated growth for the digital / tech sector in the coming few years?

The outlook remains very positive and we are optimistic. Over the next three to five years, I believe the region will move from digital transformation to intelligent transformation, where AI becomes embedded in core business operations rather than existing as isolated applications. Organizations that successfully combine AI with strong integration, identity, governance, and data foundations will be best positioned to create sustainable competitive advantages.

This shift will create significant opportunities for technology providers, system integrators, and enterprises alike.