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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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3 months ago

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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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Snowflake powers KSA’s Zahid Group’s data and AI transformation to unlock enterprise value

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9 hours ago

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August 12, 2026

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Zahid Group, one of Saudi Arabia’s leading diversified business groups spanning heavy equipment, energy, transport and manufacturing, and others, has selected Snowflake, the AI Data Cloud company, as the strategic foundation for its enterprise data and AI transformation, giving the Group a scalable way to strengthen governance, advance AI adoption, and elevate customer experiences enterprise-wide. The relationship was formalized during a signing ceremony at Zahid Business Park in Jeddah, launching a multi-year investment that will strengthen productivity and support technology-led growth in line with Saudi Vision 2030.

With Snowflake, Zahid Group’s Digital Solutions Division is unifying data from across its business streams and departments on a governed, secure, centralized and scalable lakehouse platform. A modern business intelligence ecosystem will give leaders faster access to information, enabling them to spend less time reconciling reports and more time acting on insights. The next phase will use Snowflake Cortex AI to enable employees to engage with data through natural language, reducing reliance on traditional reporting and shortening the path from question to decision.

Snowflake’s adoption at Zahid Group comes as Saudi Arabia accelerates its goal of becoming the Middle East’s leading AI infrastructure and technology hub. The Council of Ministers has designated 2026 as the Year of AI, and PwC estimates that AI could contribute around 12.4% of the country’s GDP by 2030.

Before adopting Snowflake, Zahid Group’s data was dispersed across multiple systems, requiring extensive manual consolidation and resulting in reporting inconsistencies that slowed decision-making. As an early proof of value, the Caterpillar Helios initiative demonstrated the power of secure, real-time data sharing through Snowflake. Building on this foundation, Zahid Group is now extending Snowflake’s capabilities across its digital ecosystem, enabling real-time data streaming and integration with core platforms such as Infor and Salesforce.

This connected architecture has standardized critical reporting processes, reducing month-end reporting cycles from days to hours, and in many cases minutes. By eliminating manual effort and improving data consistency, it provides leaders with timely, trusted insights that support faster decision-making and strengthen a culture of data-driven innovation.

Suzan Sadek, Group IT Manager, Zahid Group, said: “Data is one of the most valuable assets of the digital economy. By choosing Snowflake, we are building a trusted and scalable data foundation that enables AI-driven innovation, faster decision-making, and improved customer experience. This transformation strengthens Zahid Group’s competitiveness, while supporting Saudi Arabia’s Vision 2030 ambition to create a data-driven economy.”

Michel Nader, General Manager for the Middle East, Turkey & Africa, Snowflake, said: “Zahid Group is demonstrating how trusted data can become the foundation for enterprise AI at scale. Snowflake brings information closer to customers while providing leading AI capabilities to enable digital transformation across Zahid’s operating environment. We are proud to support the company’s next phase too, where employees can access trusted insights faster and strengthen the Group’s ability to create lasting and scalable value across its businesses.”

Looking ahead, Zahid Group will expand Snowflake’s platform’s role across the Group, extending governed data products, advanced analytics and AI capabilities into more business functions to deliver measurable value for customers, partners and employees.

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PNY Technologies Joins LEAP 2026 with the Latest AI Technologies – Riyadh, Saudi Arabia | 31 August to 3 September | Booth H3-D10

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1 day ago

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August 11, 2026

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PNY Technologies announces its participation in LEAP 2026, taking place in Riyadh from 31 August to 3 September, where it will present its latest AI infrastructure and accelerated computing solutions.

The showcase will feature the technologies behind PNY’s AI infrastructure portfolio, from the AI Enterprise Factory to the latest NVIDIA RTX PRO and GeForce graphics solutions, together with networking and infrastructure technologies.

Visitors will also be able to explore the PNY AI Factory Digital Twin Configurator, which allows users to design and configure their own AI factory using digital twins and NVIDIA Omniverse.

PNY will also host live demonstrations developed in collaboration with its technology partners, including SOMOD, DDN, INFINIARC, VERTIV, and F5.

The company’s participation in LEAP 2026 reflects its continued commitment to supporting AI innovation across the Middle East and helping shape the technologies powering the region’s digital transformation.

The PNY team, including regional representatives, will be on-site throughout LEAP 2026 to meet with visitors, partners, and members of the media at Hall H3, Booth D10. Attendees wishing to arrange a briefing or interview are welcome to submit a request below.

Contact request: https://forms.pny.eu/pny-at-leap-2026/

Press contact: sverdier@pny.com / mhamdouche@pny.com

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Globant Introduces Glob.AI, Reinventing Technology Services for the AI Era

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1 day ago

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August 11, 2026

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Globant (NYSE: GLOB), a global company focused on driving enterprise reinvention through AI, today introduces Glob.AI, a new AI-native tech services model that fundamentally changes how enterprises access, purchase and deploy AI services. Available online through a self-service model, Glob.AI gives organizations access to enterprise-grade, high quality AI Pods (service units run by a set of AI agents and supervised by humans). Companies are charged for what they produce -per output or per consumption- never per seat or per hour.

“For over 20 years, Globant has stayed ahead of every major technology shift, and AI is no different. Glob.AI is our next step: the one-stop shop where our AI Pods live, each specialized by task and industry. Traditional AI adoption drives token consumption far beyond what efficient output requires, and the real cost is the wasted tokens plus the unstructured, manual supervision of AI. AI Pods introduce a smarter model, running the right AI through parallel agents, loops, workflows, and deterministic processes, representing the true state of the art of what AI can deliver today,” said Martín Migoya, CEO and co-founder of Globant.

Glob.AI brings together AI-native velocity with Globant’s 23 years of enterprise delivery baked into the governance layer. AI agents do the heavy lifting, with Globant’s experts supervising their outputs and guiding every step. Glob.AI works to standards–documented, tested, secure, built for enterprise scale. It’s the speed AI promises, with the rigor and quality that businesses need, by including:

  • Well-defined, deterministic, and repeatable processes, supervised end to end by experts
  • Optimized AI usage and transparent pricing: customers pay strictly for expert-validated outputs and/or real consumption — not hours, seats, AI hallucinations, retries, or wasted cycles.
  • At least 30% more productive than the typical engineer-plus-AI approach
  • Full AI sovereignty and governance: total flexibility over which models customers use and where they run them, with zero client data ever used to train external models.
  • Token consumption secured in a client’s proprietary Token Vault, providing full traceability and compounding a client’s institutional knowledge over time.

“AI is not just making the same projects faster, it is making thousands of projects viable that never were before,” said Guibert Englebienne, co-founder of Globant. “Until today, enterprises could not buy technology services this way: instantly, transparently, paying only for results. That is the shift Glob.AI delivers, and the strong demand for AI Pods shows enterprises are ready for it.”

Organizations joining the waiting list at Glob.AI will gain early access to a comprehensive catalog of agentic workflows capable of building and deploying solutions for enterprise platforms and specialized industry use cases. The AI Pods in the offering also include partnerships with major organizations including Anthropic, AWS, Vercel, OpenAI, Adobe, Azure, Google Cloud Platform, SAP and Salesforce.

Traditional enterprise tech services require months of discovery, RFPs, and procurement cycles before the work begins. Glob.AI changes that model entirely. Users can log in and immediately start building enterprise grade software. Tech delivery becomes a live, continuous service rather than a fixed-term project — every improvement and release happening on the platform, fully visible to the client, in real time.

Globant released AI Pods in mid-2025, and they are already in use by several Fortune 500 organizations across media, entertainment, professional services, and finance, delivering early results that include:

  • FIFA experiencing a 20% efficiency increase in throughput generation while maintaining or improving quality rates
  • LALIGA deploying AI across key functions in three months
  • YPF reducing contract timelines by up to 40%
  • PharmaMar achieving 15x faster insights in oncology research
  • A leading commercial bank completing a COBOL migration in 2 months versus 14 as projected with a traditional approach
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