Tech News
AI claims automation: Tokio Marine UAE cuts wait times
Tokio Marine Insurance UAE has turned a stressful moment into a smoother one. Thanks to AI claims automation, the insurer now registers and routes claims far faster—cutting processing time by 90% and getting back to customers in hours instead of days. The initiative, delivered with Kodak Alaris and powered by Microsoft Document AI, doesn’t just speed things up; it restores calm when people need it most.
Why AI claims automation matters now
In the UAE, claim volumes can rise suddenly—especially after large-scale events. Following the 2024 floods, insurers faced an unprecedented spike. For Tokio Marine Insurance UAE, the surge confirmed what leaders already suspected: manual intake and data entry would not scale. Customers needed answers quickly, and teams needed tools that supported both speed and accuracy. Therefore, the company leaned into AI claims automation to protect service levels while reducing the human bottlenecks that caused delays.
From paper shuffle to data you can use
Until recently, hundreds of daily submissions—particularly motor claims—arrived via email with police reports, Emirates ID, driver’s licenses, and vehicle registration documents attached. Each file contained dozens of fields that staff had to key in manually. Consequently, small errors crept in, and queues built up. By contrast, the new approach utilizes Kodak Alaris’ Info Input platform in conjunction with Microsoft Document AI to identify document types, extract relevant fields, validate entries, and push clean data into core systems. As a result, exception handling has dropped by roughly 60%, while daily throughput has tripled.
Designed around real work, not a one-size-fits-all

Rather than force a generic template, Kodak Alaris began with discovery sessions focused on Tokio Marine Insurance UAE’s actual workload. The teams mapped document varieties, edge cases, and downstream system rules. Then they ran a targeted proof of concept to prove accuracy before scaling. Because the models learned from live materials, the rollout felt practical, not theoretical. Moreover, the platform’s validation steps were tuned to local documents, which reduced manual rework and strengthened audit trails.
Faster for customers, better for teams
Speed is only half the story. With AI claims automation handling repetitive capture, the claims team can focus on conversations that require judgment—calling a customer, clarifying an edge case, or fast-tracking complex scenarios. Staff move from typing to problem-solving, which improves both morale and outcomes. Meanwhile, customers get earlier updates, fewer follow-ups, and clearer timelines. In short, trust goes up because wait times go down.
Better data, smarter decisions
Automation also increases the depth of data captured per submission. Additional fields that were once skipped to save time now flow into the insurer’s systems automatically. Consequently, compliance evidence improves, forecasting becomes more grounded, and pricing models get richer inputs. Over time, that granular view helps identify trends, anticipate workloads, and tailor products to what UAE drivers need.
Built to scale under pressure
Crucially, the new workflow is resilient. When volumes spike—after storms, holidays, or peak travel—the platform scales with the load. Triage rules prioritize urgent cases, while validation catches mismatches before they create downstream issues. Therefore, leaders gain operational visibility, and teams gain breathing room. And because the system is modular, Tokio Marine Insurance UAE can extend automation to other lines without reinventing the stack.
Technology that amplifies empathy
Insurance is a promise delivered by people. The point of AI here isn’t to replace them; it’s to remove the drag so they can show up where judgment matters. With Kodak Alaris and Microsoft Document AI, Tokio Marine Insurance UAE has built a claims pathway that’s faster, clearer, and more human. Ultimately, that combination—operational excellence with empathy—is what turns a difficult day into a manageable one for every policyholder.
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Tech News
Snowflake powers KSA’s Zahid Group’s data and AI transformation to unlock enterprise value
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.
Tech News
PNY Technologies Joins LEAP 2026 with the Latest AI Technologies – Riyadh, Saudi Arabia | 31 August to 3 September | Booth H3-D10
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
Tech News
Globant Introduces Glob.AI, Reinventing Technology Services for the AI Era
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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