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65% OF ANALYSTS SAY AI WORKS BEST WHEN THE LOGIC IS MANAGED AT THE BUSINESS LEVEL, ALTERYX RESEARCH FINDS

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Alteryx, Inc., an AI-ready data and analytics company, today released its “2026 State of Data Analysts in the Age of AI” report, revealing that while AI is becoming central to business decision-making, human oversight remains critical to ensuring AI-generated outcomes are trusted and actionable. The research found that analysts spend nearly four hours per week validating and correcting AI-generated outputs, while poor data quality and governance continue to undermine AI and analytics initiatives. The findings also show that AI works best when the people closest to the business stay involved, with 65% of analysts saying AI and agent-based systems are most productive when the logic is managed at the business level. As organizations accelerate toward more agentic AI systems, the need for trusted data, governed logic and workflows, and human oversight continues to grow.

Key Findings at a Glance: 

  • 96% of data analysts are actively using AI tools in their roles 
  • 47% of failed AI and analytics projects are attributed to poor data quality or governance 
  • 65% of analysts say AI and agent-based systems are most productive when the logic is managed at the business level
  • Data analysts spend an average of 5.7 hours per week preparing and cleaning data, and an additional 3.7 hours per week checking and correcting AI outputs
  • Only 3% prefer fully autonomous AI without routine human involvement, while 46% favor a human-in-the-loop approach 

The findings point to a broader shift in how organizations are operationalizing AI. As businesses move from experimentation to deploying AI in core workflows and decision-making, trust increasingly depends on more than model performance alone. Analysts and operations teams play a critical role because they maintain business logic, governance standards, and operational context that help AI systems produce reliable and actionable outcomes.

Human Oversight Still Remains Central in the Age of Agentic AI

As AI becomes a bigger part of an analyst’s day-to-day work, the impact goes beyond simple productivity gains. Businesses are quickly adopting more advanced AI capabilities, like agentic AI, but, on the contrary, analysts are now spending more time reviewing, validating, and guiding AI-generated work. Over half (59%) expect to use AI agents to generate insights within the next year, and many are already using them to draft communications (59%) and manage workflows (54%).

Even as AI takes on a larger role in data-to-insight workflows, analysts remain closely involved because they are ultimately accountable for the quality, accuracy, and reliability of the outcomes. Nearly half (46%) prefer a human-in-the-loop approach where AI systems require human approval before taking action, while only 3% are comfortable with fully autonomous AI. The findings suggest that as AI becomes more embedded in business processes, trust, oversight, and human judgment remain essential to ensuring outputs are accurate, explainable, and aligned with business needs. 

“AI is already influencing how businesses make decisions every day, but our research highlights a reality many organizations are now confronting: trust matters just as much as speed,” said Andy MacMillan, CEO at Alteryx. “The people closest to the business play a critical role because they understand the logic, rules, and operational context behind decisions, whether that’s pricing models, compliance requirements, or operational thresholds, and that business logic is constantly evolving. AI can accelerate work, but organizations still need governed workflows and human oversight to ensure outcomes are visible, understandable, repeatable, and auditable across the organization.”

Data Challenges Continue to Limit AI Success

Behind every successful AI initiative is a strong data foundation, and many organizations are still struggling to get there. Even as AI adoption grows, ongoing issues with data quality, access, and governance continue to slow progress and limit AI effectiveness. Analysts say either poor data quality or governance is responsible for nearly half (47%) of failed AI and analytics projects, making it the biggest barrier to AI success.

Most (79%) analysts believe their data is ready for AI at scale, yet the day-to-day reality looks much different. Analysts still spend an average of nearly 6 hours each week preparing and cleaning data, plus nearly another 4 hours reviewing and correcting AI-generated outputs, checking for issues such as incorrect calculations, inconsistent metrics, or responses that don’t align with company policies and definitions. Governance concerns are also rising, with access control and data exposure (42%) ranking as the top issue, followed closely by regulatory compliance (41%). These findings show that as companies push AI deeper into business operations, the people closest to the business increasingly need to provide the context AI relies on, including not just clean data, but also the business logic, workflows, policies, and governance that shape how decisions are made and acted on.

AI Becomes Core to Business Decision-Making

AI is quickly becoming part of everyday business decision-making. Nearly all analysts surveyed (96%) say they use AI tools in their work every day, and organizations are already seeing the impact. Among IT leaders, 85% report noticeable gains in employee productivity, while 79% say AI is helping teams make decisions faster.

As AI adoption grows, AI-generated insights are carrying more weight across the business. Half (50%) of analysts and 62% of IT leaders say that most or almost all business-critical decisions are now influenced by AI insights.

But generating insights faster doesn’t always make decisions easier. The biggest challenge organizations face is helping business leaders understand and trust AI-generated outputs, with 43% saying interpreting and explaining AI insights remains a key barrier. At the same time, companies continue embedding AI into core technologies like cloud data warehouses (40%) and business intelligence tools (39%), making AI an increasingly central part of how businesses operate.

The Evolving Role of the Data Analyst

Analysts increasingly see AI as a collaborator that changes how work gets done, not a replacement for human expertise. In fact, 82% say automation is making them more effective by helping them work faster and focus on higher-value tasks.

As AI becomes more embedded in everyday operations, the role of the analyst is evolving from producing insights to guiding how AI systems operate. Over the next five years, 40% believe changing skill requirements will have the biggest impact on their responsibilities, while 36% point to the growing importance of real-time analytics. The findings suggest that analysts and operational teams will play an increasingly important role in defining, validating, and evolving the business logic AI systems rely on to deliver trusted, repeatable outcomes. This includes the rules, calculations, and operational processes that determine how the business actually runs, whether it’s updating tax rules in different countries, changing sales commission structures, adjusting supply chain thresholds, or applying compliance and pricing policies as conditions evolve.

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Delinea Brings Runtime Control for AI Agents to GISEC Global 2026

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Delinea, the identity security platform that governs what humans, machines and AI agents do once they have access, today announced its participation at GISEC Global 2026. Under the theme, “From Access to Action: Governing AI at Runtime,” the company will spotlight the growing need for organisations to govern the actions autonomous AI agents take after access has been granted.

Following its release of new runtime authorisation capabilities for AI agents this summer, Delinea will use GISEC to advance the conversation around runtime authorisation, an approach designed to enforce policy on an agent’s actions within a session, at the time those actions are executed.

As AI agents take on increasingly autonomous roles across databases, cloud environments, infrastructure and business systems, the security challenge is shifting beyond authentication. While an agent may have legitimate access to a system, it can still take an action that exceeds its intended task or creates operational risk. Delinea’s runtime authorisation capabilities enable organisations to apply policy at the point of action — allowing, blocking or escalating activity before it executes.

“AI adoption is moving the identity-security conversation beyond the moment of authentication,” said Mortada Ayad, VP Sales at Delinea. “The question for organisations is no longer simply whether an AI agent can access a critical system. It is whether they can govern what that agent does once it is inside. At GISEC, we want to put that challenge, and the need for runtime control, at the centre of the regional conversation.”

Delinea has strategically adopted a channel-led presence at this year’s show, reflecting its focus on bringing these capabilities to market through the regional partners enterprises rely on to deploy, manage and operationalise complex security programmes. Through its presence at the stands of regional distributor, Shifra, and integrator partner, Defa3, the company will deepen engagement with existing partners, recruit new partners and build the specialist capabilities needed to support secure AI adoption across the region.

The approach builds on the Delinea Partner Advantage Program, launched in July 2026. The program provides partners with clearer rules of engagement, deal protection, tiered incentives and AI-driven enablement, helping them build profitable identity-security practices, while delivering stronger outcomes for customers. It is designed to support selling partners today, with expanding roles planned for managed service providers, global systems integrators, advisory partners and technology partners.

“For a capability this consequential, technology alone is not enough,” Ayad added. “Customers need partners who understand their environment, their risk and how to translate security policy into practical control. Our focus at GISEC is to equip and grow that ecosystem, so organisations can move forward with AI, knowing that authorised access does not become unchecked action.”

Delinea’s runtime authorisation for AI agents enables organisations to govern activity across the systems agents use, including databases, SSH hosts, Kubernetes clusters and cloud consoles. Through just-in-time, task-scoped access, and real-time policy enforcement, organisations can reduce reliance on standing credentials, while maintaining a defensible record of AI-driven activity.

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Tech First Gulf Strengthens its presence in Africa with the appointment of Mustapha Rafiki as General Manager – Maghreb & Francophone Africa

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Tech First Gulf (TFG), a leading value-added technology distributor across the Middle East and Africa, is pleased to announce the appointment of Mustapha Rafiki as General Manager – Maghreb & Francophone Africa. This strategic appointment marks another significant milestone in TFG’s continued regional expansion and reinforces the company’s commitment to strengthening its footprint across Africa.

With over 19 years of experience in the information technology industry, Mustapha brings extensive expertise in business development, channel management, sales leadership, and operational excellence. Throughout his career, he has successfully built and managed high-performing partner ecosystems while driving sustainable business growth across North, West, East, and Central Africa.

Before joining Tech First Gulf, Mustapha served as Head of B2B Africa at Logitech, where he led business operations across multiple African markets, developing strategic go-to-market initiatives and strengthening channel partnerships. Prior to Logitech, he held the position of Country Manager at Canon, where he played a pivotal role in expanding the company’s presence, developing strategic alliances, and accelerating growth across key enterprise and commercial segments.

As TFG continues to expand its operations throughout Africa, Mustapha’s appointment reflects the company’s vision of investing in experienced leadership to unlock new opportunities, deepen vendor and partner relationships, and deliver greater value to customers across the markets.

Under his leadership, TFG aims to accelerate regional growth by strengthening its distribution network, expanding strategic technology alliances, enabling channel partners, and introducing innovative solutions that address the evolving needs of enterprises and public sector organizations across the region. His deep understanding of African markets, combined with his proven leadership, will play a vital role in driving TFG’s next phase of growth.

“We are pleased to welcome Mustapha to Tech First Gulf as we continue our expansion across the region. The markets under his leadership offer tremendous opportunities for growth and innovation, and we remain committed to investing in their future through strong leadership and long-term partnerships. Mustapha’s proven track record, strategic vision, and extensive regional expertise make him the ideal leader to accelerate our growth, strengthen our market presence, and deliver lasting value to our partners and customers,” said Mr. Akashdeep (Sky), Chief Strategy Officer, Tech First Gulf

Commenting on his appointment, Mustapha Rafiki said:

“I am excited to join Tech First Gulf at such an important stage of its growth journey. TFG has built a strong reputation for delivering innovative technology solutions and empowering its partner ecosystem. I look forward to working closely with our vendors, partners, and customers to accelerate growth, expand our market presence, and create lasting value across the region.”

As Tech First Gulf continues its regional expansion strategy, the company remains focused on empowering businesses through world-class technology solutions, strengthening strategic partnerships, and building a future-ready digital ecosystem across India, Middle East and Africa.

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Turnitin Expands AI Writing Detection to Support Arabic Language Submissions

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Turnitin recently announced the launch of its AI writing detection capabilities for Arabic language submissions, marking a significant step in supporting educators and students worldwide. This expansion helps equip Arabic-speaking educators with the tools necessary to safeguard academic integrity and nurture original thinking in the classroom.

As AI adoption among students becomes nearly universal, educators require solutions that promote transparency, rather than surveillance. Turnitin goes beyond simply verifying authorship, its tools support the broader learning journey, and help equip students with the critical skills demanded by today’s workforce.

“By providing Arabic-speaking educators with tools that uphold learning integrity, we ensure that they have solutions designed to support original thought and critical thinking, rather than having LLMs replace it,” said James Thorley, Vice President of APAC and EMEA at Turnitin. “While there is no substitute for knowing a student’s writing style, educational background, and institutional AI policies, this tool gives educators insights into areas where AI may have been used. Ultimately, it opens the door to meaningful, informed conversations about the responsible use of AI.”

AI writing detection for Arabic is now available through Turnitin Originality and as an add-on for iThenticate customers. Like the English, Spanish, and Japanese versions, the feature provides educators with an overall percentage of likely AI-generated content, alongside:

Detection capabilities for the leading large language models, reporting designed with educators in mind and seamless integration into existing customer workflows.

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