Tech News
65% OF ANALYSTS SAY AI WORKS BEST WHEN THE LOGIC IS MANAGED AT THE BUSINESS LEVEL, ALTERYX RESEARCH FINDS
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.
Tech News
Vertiv expands Manufacturing and Testing Capacity at Tognana Campus near Padua
Vertiv (NYSE: VRT), a global leader in critical digital infrastructure, today announced investments to expand chiller manufacturing and integrated testing capabilities at its Tognana campus near Padua. The company expects to double chiller production capacity in the region by the end of 2026 and complete a new large-scale testing laboratory in early 2027. The growth is also creating additional career opportunities across the campus. The site serves as one of Vertiv’s principal centers for cooling technology development, bringing together research and development, product management, manufacturing, and a Customer Experience Center, where customers and consultants can participate in witness testing of a broad range of cooling technologies across the thermal chain under real-world operating conditions.
With the growing demand for thermal systems to support high-density AI applications, Vertiv is focused on increasing manufacturing operations and new production processes at the Tognana site to support regional and global chiller capacity. The company is also investing in a new integrated testing laboratory for large-scale chillers, to validate their integration with liquid cooling systems under high-density load conditions and extreme temperature ranges. The expanded capability is intended to help customers validate thermal performance under expected site conditions and deploy increasingly complex cooling systems with greater speed and confidence.
“AI is driving thermal demands that didn’t exist two years ago, with higher densities, faster deployment demands, and no room to compromise on reliability,” said Giordano Albertazzi, CEO of Vertiv. “The expansion at Tognana puts us further ahead with more manufacturing capacity, integrated testing, and advanced thermal management systems built for current and future generations of silicon. This investment reinforces our position at the front of the curve.”
Vertiv has maintained a longstanding presence at the Tognana site since the 1960s, building on the legacy of brands such as Vertiv™ Liebert® and Vertiv™ Hiross, pioneers in precision cooling. Today, the campus serves as one of Vertiv’s principal European centers for data center thermal management, integrating innovation, manufacturing, testing, and customer engagement capabilities. Together with the Castel Guelfo facility near Bologna, it forms one of Vertiv’s main European technology hubs. Bologna and Tognana are also Vertiv Academy sites, providing training programs for technicians, partners and industry professionals. They are part of a network of 30 training centers and academies worldwide, of which 15 are based in Europe, Middle East and Africa (EMEA).
“The expertise of our Tognana teams is central to Vertiv’s ability to support increasingly complex cooling requirements,” said Sam Bainborough, vice president, thermal business at Vertiv in EMEA. “By expanding manufacturing, integrated testing and our local talent base, we are strengthening the campus’s role in serving customers across EMEA and other global markets while creating skilled opportunities in the region.”
Tech News
OPTRO LAUNCHES ‘OPTRO PARTNER CONNECT’ TO POWER GLOBAL GRC ECOSYSTEM GROWTH

Optro (formerly AuditBoard), the leading AI-powered GRC Intelligence Platform empowering enterprises to transform risk into opportunity, has announced the formal launch of Optro Partner Connect. The new partner program offers partners flexible ways to go to market, a comprehensive suite of enablement, certification, technical, and co-marketing support, and a clear, predictable path to expand into new markets, deepen their service offerings, and drive lasting customer outcomes.
Optro Partner Connect replaces legacy frameworks with a modular design centered around distinct partner tracks, initially launching with Advisory Partners and Solution Providers, and a transparent tier structure in which benefits grow as partners do. Because benefits are tiered, partners will know exactly what they can access and unlock at each stage of their journey with Optro. Supporting every partner is a dedicated Partner Center of Excellence (PCoE): a team solely focused on partner success that guides firms through onboarding and ongoing “everboarding,” helping partners reach their first wins sooner and maintain a clear line of sight on their next stage of growth.
“Partners are a critical growth engine for Optro, and Optro Partner Connect ensures our ecosystem’s experience matches the enterprise-grade quality of our platform,” said Scott Whitlock, Global VP of Alliances and Channels at Optro. “By moving away from transaction-only metrics and adopting a holistic evaluation of capacity and competency, we are giving our partners a clear blueprint to build highly profitable services practices around our GRC Intelligence Platform.”
A differentiator of the program is Optro’s roadmap to weave an AI layer throughout the partner experience to give partners back time and help them win by automating repeatable manual tasks, surfacing real-time co-sell guidance in the field, and personalizing each partner’s onboarding so they can spend less time on administration and more time on value creation.
Key Program Highlights At-A-Glance
- Flexible Tracks & Engagement Models: Partners choose how they go to market across the Advisory and Solution Provider tracks, referring, selling, or servicing with a transparent tier structure, a flexible legal framework, and recognized status as they grow. Financial and servicing incentives reward that momentum, and a services-rich platform offers eligible partners room to build a high-value practice across the full customer lifecycle — from implementation and advisory through managed services.
- Enablement, Expertise, and Market Presence: A comprehensive benefits suite spanning role-based training and certification, deep technical and co-sell support, and co-branded marketing resources. Beyond a searchable partner directory that helps customers find them, qualified partners have a path to build their own solutions, integrations, and accelerators with Optro — turning their expertise into valuable IP.
- A Strategic Voice for Optro: Through continuous feedback loops and a formal Partner Advisory Board, invited partners can participate in roadmap and go-to-market strategy discussions, helping to impact the future of connected GRC alongside Optro’s leadership rather than just delivering it.
“Our collaboration with Optro helps us transform how our clients handle audit and compliance,” said Adam Pajakowski, Principal at Crowe. “Through this new partner program, we can continue to help companies move away from outdated, manual processes. We look forward to expanding our work together and continuing to drive great results for our joint clients.”
“We’re excited about the launch of Optro Partner Connect and the added structure it brings to an already strong collaboration,” said Andrew Struthers-Kennedy, Global Lead, CAE Solutions, Protiviti. “The program introduces clearer alignment, more formal recognition, and a scalable framework for how we work together, which we believe will help drive greater consistency and impact as both organizations continue to grow.”
Optro Partner Connect formally goes live today. Comprehensive program briefs, regional guides, and deal registration resources are now available to active partners via a unified, updated partner portal. To learn more or apply to join Optro Partner Connect, visit optro.ai.
Tech News
DXC INTRODUCES DXC PRIVATE CLOUD+, BRINGING GREATER CONTROL, SECURITY, AND FLEXIBILITY TO ENTERPRISE CLOUD
DXC Technology (NYSE: DXC), a leading enterprise technology and innovation partner, has announced that its DXC Private Cloud+ is now generally available. The solution delivers public cloud–like flexibility and pricing while maintaining full control over sensitive data and workloads. Powered by Dell Technologies infrastructure like servers, storage, and cyber resilience solutions and operated by DXC OASIS, DXC’s intelligent orchestration platform, Private Cloud+ helps organizations innovate more easily while still meeting strict requirements for data security, compliance, and sovereignty, at a time when enterprise cloud strategies are rapidly evolving.
As governance, security, data sovereignty, and industry-specific requirements become just as critical as scale, global organizations across industries are moving beyond a single-cloud approach and building multi-cloud portfolios that offer greater choice and control. In this environment, Private Cloud+ adds a powerful new option—combining the economics and agility of hyperscale with the control of private cloud, while providing a unified platform to connect data centers, integrate with public clouds, and prepare for AI workloads.
“Customers across industries from manufacturing to transportation, insurance and more want hyperscale economics, flexibility, and AI-readiness in a true hybrid environment, one that works across what they already run and the public clouds they depend on. Until now, they’ve had to compromise. Private Cloud+, powered by Dell and operated by DXC OASIS, ends that trade-off and enables them to be ready as AI workloads increase,” said Chris Drumgoole, President, Global Infrastructure Services, DXC.
Hosted in DXC’s data centers and orchestrated by DXC OASIS with a Human+ approach, Private Cloud+ supports the full range of enterprise workloads, including VMs, containers, data, backup and resiliency, and private AI. The result is a single environment where customers can reduce technical debt, strengthen security, and move faster from idea to production, supported by consumption-based economics that simplify financial planning.
Private Cloud+ is offered in three editions, enabling enterprises to choose the deployment model that matches their workload, tenancy, and compliance needs:
- Core: a multi-tenant private cloud with the full Private Cloud+ feature set on consumption-based pricing
- Dedicated: a single-tenant environment for customers requiring full isolation of compute, storage, and data sovereignty
- Government: a hardened edition with advanced security controls, operated by cleared domestic personnel, for government agencies and regulated industries
“Enterprises are juggling sensitive workloads, modernization, and AI, all at once. Many are looking for infrastructure that handles it natively, without bolt-ons. That’s exactly what we built with Private Cloud+, with DXC OASIS removing the operational burden so customers can focus on innovation,” said Benjamin Greene, Director, Global Infrastructure Services, Private Cloud, DXC.
DXC and Dell have collaborated for over 25 years, jointly serving more than 2,000 customers worldwide. DXC is a Titanium Black partner in the Dell Technologies Partner Program. Private Cloud+ is a DXC Fast Track solution, focused on AI-fueled capabilities and automation that drive exponential growth.
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