Globaldev Group

Globaldev Group Custom software development and team extension services for B2B and B2C sectors

Globaldev Group provides end-to-end software development services and builds skillful teams of specialists to fuel your business’ growth. Leveraging our extensive 12-year background and deep industry knowledge, we have established ourselves as a reliable partner for numerous enterprises, SMEs, and startups.

▪️ Global Teams ▪️

Globaldev offers R&D team extensions to both emerging technology compa

nies and global corporations. Empowered by our global talent pool, we excel at connecting our clients with high-skilled specialists. Hiring, onboarding, and continuous management are all included in our comprehensive set of services, enabling our clients to quickly scale their teams and achieve their product development and implementation goals.

▪️ Global Engineering ▪️

- Obtain a custom-designed solution from scratch
- Scale or enhance your current software infrastructure
- Stay ahead with the latest cutting-edge technologies
- Access a comprehensive range of services from a single vendor

As a full-stack development company, we are equipped to fulfill all your business requirements. Whether it's product discovery, proof of concept, UX design, or development, Globaldev serves as your all-in-one solution provider.

𝐓𝐨𝐩 𝐀𝐈 𝐍𝐞𝐰𝐬: 𝐓𝐡𝐞 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐋𝐞𝐚𝐩, 𝐭𝐡𝐞 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐑𝐚𝐜𝐞 & 𝐍𝐞𝐰 𝐀𝐈 𝐑𝐮𝐥𝐞𝐬 (𝐉𝐮𝐥𝐲–𝐀𝐮𝐠𝐮𝐬𝐭 𝟐𝟎𝟐𝟔)AI is moving beyond the chatbot ...
08/31/2026

𝐓𝐨𝐩 𝐀𝐈 𝐍𝐞𝐰𝐬: 𝐓𝐡𝐞 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐋𝐞𝐚𝐩, 𝐭𝐡𝐞 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐑𝐚𝐜𝐞 & 𝐍𝐞𝐰 𝐀𝐈 𝐑𝐮𝐥𝐞𝐬 (𝐉𝐮𝐥𝐲–𝐀𝐮𝐠𝐮𝐬𝐭 𝟐𝟎𝟐𝟔)

AI is moving beyond the chatbot era.

Across July and August, some of the industry's biggest developments pointed in the same direction: 𝑨𝑰 𝒔𝒚𝒔𝒕𝒆𝒎𝒔 𝒂𝒓𝒆 𝒃𝒆𝒄𝒐𝒎𝒊𝒏𝒈 𝒎𝒐𝒓𝒆 𝒂𝒖𝒕𝒐𝒏𝒐𝒎𝒐𝒖𝒔, 𝒎𝒐𝒓𝒆 𝒂𝒇𝒇𝒐𝒓𝒅𝒂𝒃𝒍𝒆 𝒕𝒐 𝒓𝒖𝒏, 𝒂𝒏𝒅 𝒎𝒐𝒓𝒆 𝒅𝒆𝒆𝒑𝒍𝒚 𝒆𝒎𝒃𝒆𝒅𝒅𝒆𝒅 𝒊𝒏 𝒆𝒏𝒕𝒆𝒓𝒑𝒓𝒊𝒔𝒆 𝒊𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆.

At the same time, the rules around them are getting stricter. Regional data controls, transparency requirements, security safeguards, and AI-generated content disclosures are increasingly becoming part of the technology conversation itself.

From the latest frontier models and NVIDIA's next-generation infrastructure to sovereign AI, Big Tech restructuring, Hollywood's AI experiments, and new regulatory requirements, we've gathered the developments technology leaders should have on their radar.

Here are the key AI developments from July–August 2026, assembled and analyzed by our AI Strategy Specialist, Ihor Kravchenko.

𝐒𝐰𝐢𝐩𝐞 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐟𝐨𝐫 𝐭𝐡𝐢𝐬 𝐦𝐨𝐧𝐭𝐡'𝐬 𝐛𝐢𝐠𝐠𝐞𝐬𝐭 𝐀𝐈 𝐮𝐩𝐝𝐚𝐭𝐞𝐬.

08/25/2026

𝐖𝐡𝐚𝐭 𝐢𝐟 𝐰𝐞 𝐭𝐨𝐥𝐝 𝐲𝐨𝐮 𝐭𝐡𝐚𝐭 𝐚 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫’𝐬 𝐬𝐡𝐨𝐩𝐩𝐢𝐧𝐠 𝐜𝐚𝐫𝐭 𝐝𝐢𝐝𝐧’𝐭 𝐞𝐧𝐝 𝐰𝐡𝐞𝐧 𝐭𝐡𝐞𝐲 𝐩𝐮𝐭 𝐭𝐡𝐞𝐢𝐫 𝐩𝐡𝐨𝐧𝐞 𝐚𝐰𝐚𝐲?

It’s one of the opportunities behind O2O retail: connecting what customers do digitally with what happens when they walk into a physical store. And the checkout point can play a surprisingly important role in that connection.

Let’s consider the following scenarios.

👟 𝐀 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐰𝐚𝐥𝐤𝐬 𝐢𝐧𝐭𝐨 𝐚 𝐬𝐡𝐨𝐞 𝐬𝐭𝐨𝐫𝐞.
They try on two pairs, choose one, and get in line at the cashier. But while waiting, they see a self-service kiosk and decide to head on and try it.

What happens next is a completely smooth and swift process, where they just scan the item at the kiosk and it automatically detects the correct model, size and color. The kiosk even applies the relevant promotion, calculates the total, and lets the customer complete payment via QRIS or EDC.

No need to queue at a conventional cashier for a simple transaction.

🛒 𝐀𝐧𝐨𝐭𝐡𝐞𝐫 𝐬𝐢𝐭𝐮𝐚𝐭𝐢𝐨𝐧 𝐢𝐧𝐯𝐨𝐥𝐯𝐞𝐬 𝐚 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐬𝐡𝐨𝐩𝐩𝐢𝐧𝐠 𝐚𝐭 𝐚 𝐦𝐢𝐧𝐢𝐦𝐚𝐫𝐤𝐞𝐭.
The customer uses the retailer’s mobile apps to build their cart as they move through the store, adding items from their grocery checklist to the app’s shopping cart.

When they’re ready to leave, they simply scan their profile QR code at the kiosk and immediately transfer the cart to it. The customer confirms the products and quantities, the kiosk instantly applies any available promotions or loyalty benefits, and the customer completes the payment.

This is where the kiosk becomes more than just another screen in the store.

𝐈𝐭 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐭𝐡𝐞 𝐩𝐨𝐢𝐧𝐭 𝐰𝐡𝐞𝐫𝐞 𝐭𝐡𝐞 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐚𝐧𝐝 𝐩𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐬𝐡𝐨𝐩𝐩𝐢𝐧𝐠 𝐣𝐨𝐮𝐫𝐧𝐞𝐲𝐬 𝐦𝐞𝐞𝐭.

That matters a lot today, as customers increasingly expect flexibility in how they shop and interact with retailers. PwC’s 2024 consumer research found that shoppers use an average of 3.6 shopping channels, with both physical stores and digital touchpoints remaining important parts of the buying journey.

For retailers, this opportunity is therefore much more than replacing a cashier with a machine.

A well-integrated kiosk can connect mobile commerce, product data, promotions, loyalty, inventory, and payments within a single in-store transaction.

❗️The result: a smoother journey with fewer disconnected steps for customers and a more flexible checkout infrastructure for retailers.

𝑶𝟮𝑶 𝒘𝒐𝒓𝒌𝒔 𝒃𝒆𝒔𝒕 𝒘𝒉𝒆𝒏 𝒄𝒖𝒔𝒕𝒐𝒎𝒆𝒓𝒔 𝒅𝒐𝒏’𝒕 𝒉𝒂𝒗𝒆 𝒕𝒐 𝒕𝒉𝒊𝒏𝒌 𝒂𝒃𝒐𝒖𝒕 𝒘𝒉𝒆𝒓𝒆 “𝒐𝒏𝒍𝒊𝒏𝒆” 𝒆𝒏𝒅𝒔 𝒂𝒏𝒅 “𝒐𝒇𝒇𝒍𝒊𝒏𝒆” 𝒃𝒆𝒈𝒊𝒏𝒔.

See how this could work in your store.

𝐘𝐨𝐮𝐫 𝐒𝐚𝐚𝐒 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐩𝐫𝐨𝐛𝐚𝐛𝐥𝐲 𝐝𝐨𝐞𝐬𝐧’𝐭 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐛𝐞 𝐫𝐞𝐛𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐀𝐈. 𝐈𝐭 𝐧𝐞𝐞𝐝𝐬 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐀𝐈 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐞𝐦𝐛𝐞𝐝𝐝𝐞𝐝 𝐢𝐧 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐩𝐥𝐚...
08/20/2026

𝐘𝐨𝐮𝐫 𝐒𝐚𝐚𝐒 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐩𝐫𝐨𝐛𝐚𝐛𝐥𝐲 𝐝𝐨𝐞𝐬𝐧’𝐭 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐛𝐞 𝐫𝐞𝐛𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐀𝐈. 𝐈𝐭 𝐧𝐞𝐞𝐝𝐬 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐀𝐈 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐞𝐦𝐛𝐞𝐝𝐝𝐞𝐝 𝐢𝐧 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐩𝐥𝐚𝐜𝐞.

AI adoption is accelerating. McKinsey’s 2025 State of AI report found that 𝟖𝟖% 𝒐𝒇 𝒐𝒓𝒈𝒂𝒏𝒊𝒛𝒂𝒕𝒊𝒐𝒏𝒔 𝒖𝒔𝒆 𝑨𝑰 𝒊𝒏 𝒂𝒕 𝒍𝒆𝒂𝒔𝒕 𝒐𝒏𝒆 𝒃𝒖𝒔𝒊𝒏𝒆𝒔𝒔 𝒇𝒖𝒏𝒄𝒕𝒊𝒐𝒏.

Yet nearly two-thirds have not begun scaling AI across the enterprise.

For established SaaS companies, the opportunity is different. They already have a product, users, workflows, data, and infrastructure.

So instead of asking: “𝑯𝒐𝒘 𝒅𝒐 𝒘𝒆 𝒃𝒖𝒊𝒍𝒅 𝒂𝒏 𝑨𝑰 𝒑𝒓𝒐𝒅𝒖𝒄𝒕?”

A better question may be: “𝑾𝒉𝒆𝒓𝒆 𝒄𝒂𝒏 𝑨𝑰 𝒎𝒂𝒌𝒆 𝒐𝒖𝒓 𝒆𝒙𝒊𝒔𝒕𝒊𝒏𝒈 𝒑𝒓𝒐𝒅𝒖𝒄𝒕 𝒎𝒆𝒂𝒏𝒊𝒏𝒈𝒇𝒖𝒍𝒍𝒚 𝒃𝒆𝒕𝒕𝒆𝒓?”

That could mean adding:
💡 AI assistants that help users complete tasks
💡 Intelligent search across product or customer data
💡 Document and conversation summarization
💡 AI-powered recommendations
💡 Workflow automation
💡 Natural-language analytics

But successful AI implementation takes more than connecting a model API.

A practical path looks like this:

𝟏. 𝐒𝐭𝐚𝐫𝐭 𝐰𝐢𝐭𝐡 𝐚 𝐫𝐞𝐚𝐥 𝐮𝐬𝐞𝐫 𝐩𝐫𝐨𝐛𝐥𝐞𝐦.
Look for places where users lose time, repeat work, or struggle to get value from the product.

𝟐. 𝐂𝐡𝐞𝐜𝐤 𝐰𝐡𝐞𝐭𝐡𝐞𝐫 𝐭𝐡𝐞 𝐝𝐚𝐭𝐚 𝐜𝐚𝐧 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 𝐢𝐭.
Make sure the right information exists, is accessible, and can be used responsibly.

𝟑. 𝐌𝐚𝐤𝐞 𝐀𝐈 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞.
It should fit naturally into how customers already use the product rather than feel like a separate AI feature.

𝟒. 𝐏𝐫𝐨𝐯𝐞 𝐯𝐚𝐥𝐮𝐞 𝐨𝐧 𝐨𝐧𝐞 𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐮𝐬𝐞 𝐜𝐚𝐬𝐞.
Start small and measure whether AI actually improves a meaningful product or business outcome.

𝟓. 𝐁𝐮𝐢𝐥𝐝 𝐟𝐨𝐫 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐮𝐬𝐞.
Once the concept works, make sure it can operate reliably, securely, and cost-effectively at scale.

‼️The takeaway: 𝐭𝐡𝐞 𝐛𝐞𝐬𝐭 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥 𝐝𝐨𝐞𝐬𝐧’𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐦𝐚𝐤𝐞 𝐭𝐡𝐞 𝐛𝐞𝐬𝐭 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭.

Value comes from putting AI in the right part of the product, solving the right problem, and making it work with the data, workflows, and experience customers already rely on.

For many SaaS companies, the fastest path to AI isn’t rebuilding the product. 𝐈𝐭’𝐬 𝐦𝐚𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫𝐬 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐮𝐬𝐞 𝐬𝐢𝐠𝐧𝐢𝐟𝐢𝐜𝐚𝐧𝐭𝐥𝐲 𝐬𝐦𝐚𝐫𝐭𝐞𝐫.

𝐈𝐟 𝐲𝐨𝐮 𝐜𝐨𝐮𝐥𝐝 𝐚𝐝𝐝 𝐨𝐧𝐞 𝐀𝐈 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐒𝐚𝐚𝐒 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐭𝐨𝐝𝐚𝐲, 𝐰𝐡𝐞𝐫𝐞 𝐰𝐨𝐮𝐥𝐝 𝐢𝐭 𝐜𝐫𝐞𝐚𝐭𝐞 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐯𝐚𝐥𝐮𝐞 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐮𝐬𝐞𝐫𝐬?

Restaurant chains are under constant pressure to deliver exceptional guest experiences while protecting margins in an in...
08/14/2026

Restaurant chains are under constant pressure to deliver exceptional guest experiences while protecting margins in an industry where labor costs, food prices, and customer expectations continue to rise.

AI is emerging as a practical solution, not to replace restaurant teams, but to help them make faster, data-driven operational decisions.

According to NVIDIA's State of AI in Retail and CPG report, 𝟖𝟗% 𝐨𝐟 𝐫𝐞𝐭𝐚𝐢𝐥𝐞𝐫𝐬 𝐮𝐬𝐢𝐧𝐠 𝐀𝐈 𝐫𝐞𝐩𝐨𝐫𝐭 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞𝐝 𝐚𝐧𝐧𝐮𝐚𝐥 𝐫𝐞𝐯𝐞𝐧𝐮𝐞, while 𝟖𝟐% 𝐡𝐚𝐯𝐞 𝐫𝐞𝐝𝐮𝐜𝐞𝐝 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐜𝐨𝐬𝐭𝐬 through AI initiatives.

Although the research covers the broader retail and consumer goods sector, many of the same AI capabilities (demand forecasting, customer engagement, and operational optimization) are directly applicable to restaurant chains.

At the same time, Deloitte's Future of Restaurants research highlights that 𝐫𝐞𝐬𝐭𝐚𝐮𝐫𝐚𝐧𝐭 𝐨𝐩𝐞𝐫𝐚𝐭𝐨𝐫𝐬 𝐚𝐫𝐞 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐢𝐧𝐠𝐥𝐲 𝐢𝐧𝐯𝐞𝐬𝐭𝐢𝐧𝐠 𝐢𝐧 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 that improve operational efficiency and create more personalized guest experiences.

Here are 𝐭𝐡𝐫𝐞𝐞 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐀𝐈 𝐮𝐬𝐞 𝐜𝐚𝐬𝐞𝐬 already helping restaurant chains streamline operations, reduce waste, and enhance customer satisfaction.

👇 Swipe through the carousel to explore them.

Great guest experiences don't happen by chance, they're powered by operational excellence behind the scenes.𝐅𝐨𝐫 𝐭𝐡𝐞𝐦𝐞 𝐩𝐚...
08/07/2026

Great guest experiences don't happen by chance, they're powered by operational excellence behind the scenes.

𝐅𝐨𝐫 𝐭𝐡𝐞𝐦𝐞 𝐩𝐚𝐫𝐤𝐬 𝐚𝐧𝐝 𝐰𝐚𝐭𝐞𝐫 𝐩𝐚𝐫𝐤𝐬, every minute of downtime, every long queue, and every unanswered guest question directly impacts visitor satisfaction, operational efficiency, and revenue.

As visitor expectations continue to rise, AI is becoming a practical business tool, not because it's trendy, but because it helps operators make faster, smarter decisions across daily park operations.

From predicting equipment failures before they happen to streamlining guest entry and providing instant multilingual assistance, AI is already delivering measurable value for attractions worldwide.

In this carousel, we've highlighted 𝐭𝐡𝐫𝐞𝐞 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐀𝐈 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 that can help parks improve operational performance while creating a better experience for every visitor.

👉 𝐒𝐰𝐢𝐩𝐞 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐡𝐞 𝐬𝐥𝐢𝐝𝐞𝐬 𝐭𝐨 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐰𝐡𝐞𝐫𝐞 𝐀𝐈 𝐢𝐬 𝐜𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐛𝐢𝐠𝐠𝐞𝐬𝐭 𝐢𝐦𝐩𝐚𝐜𝐭 𝐭𝐨𝐝𝐚𝐲.

Which of these use cases do you think offers the fastest ROI for theme and water parks?

🏦 In digital-first banks operating at scale, the challenge is not collecting customer data, but quickly turning it into ...
08/05/2026

🏦 In digital-first banks operating at scale, the challenge is not collecting customer data, but quickly turning it into meaningful, actionable insights.

As digital-first financial institutions scale, support, compliance, and operations teams are expected to process growing volumes of account activity, customer interactions, and regulatory requests without compromising accuracy or response times.

This is where AI-assisted reporting delivers measurable value.

𝐓𝐰𝐨 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐮𝐬𝐞 𝐜𝐚𝐬𝐞𝐬 𝐬𝐭𝐚𝐧𝐝 𝐨𝐮𝐭:

1. 𝑵𝒂𝒕𝒖𝒓𝒂𝒍 𝒍𝒂𝒏𝒈𝒖𝒂𝒈𝒆 𝒂𝒄𝒄𝒐𝒖𝒏𝒕 𝒂𝒏𝒅 𝒕𝒓𝒂𝒏𝒔𝒂𝒄𝒕𝒊𝒐𝒏 𝒓𝒆𝒑𝒐𝒓𝒕𝒊𝒏𝒈
Instead of manually querying multiple systems or exporting datasets, authorized users can request a complete account or transaction history for any selected period using natural language. AI orchestrates data retrieval, structures the output, and generates a comprehensive report in seconds, reducing manual effort while improving consistency.

2. 𝑨𝑰-𝒈𝒆𝒏𝒆𝒓𝒂𝒕𝒆𝒅 𝒄𝒖𝒔𝒕𝒐𝒎𝒆𝒓 𝒕𝒊𝒎𝒆𝒍𝒊𝒏𝒆𝒔
Customer context is often fragmented across support tickets, complaints, CRM records, and operational systems. AI can automatically consolidate these touchpoints into a single chronological timeline, enabling service teams, compliance officers, and investigators to understand the full customer journey without switching between multiple applications.

The impact extends beyond productivity.

𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗿𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗲𝗻𝗮𝗯𝗹𝗲𝘀:
✔ Faster response to customer inquiries
✔ Improved operational efficiency
✔ Better audit and compliance readiness
✔ More informed decision-making based on complete customer context

As AI capabilities continue to mature, reporting will evolve from static dashboards to intelligent assistants that surface the right information at the right time.

𝐇𝐨𝐰 𝐢𝐬 𝐲𝐨𝐮𝐫 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐮𝐬𝐢𝐧𝐠 𝐀𝐈 𝐭𝐨 𝐬𝐢𝐦𝐩𝐥𝐢𝐟𝐲 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐨𝐫 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬? 𝐖𝐞'𝐝 𝐥𝐨𝐯𝐞 𝐭𝐨 𝐡𝐞𝐚𝐫 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐮𝐬𝐞 𝐜𝐚𝐬𝐞𝐬 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐠𝐫𝐞𝐚𝐭𝐞𝐬𝐭 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐦𝐩𝐚𝐜𝐭.

🚀 𝐓𝐨𝐩 𝐀𝐈 𝐍𝐞𝐰𝐬: 𝐏𝐫𝐢𝐜𝐞 𝐖𝐚𝐫𝐬, 𝐒𝐨𝐯𝐞𝐫𝐞𝐢𝐠𝐧 𝐀𝐈, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐑𝐢𝐬𝐞 𝐨𝐟 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐠𝐞𝐧𝐭𝐬 (𝐉𝐮𝐧𝐞 — 𝐉𝐮𝐥𝐲 𝟐𝟎𝟐𝟔)The AI industry is entering...
07/31/2026

🚀 𝐓𝐨𝐩 𝐀𝐈 𝐍𝐞𝐰𝐬: 𝐏𝐫𝐢𝐜𝐞 𝐖𝐚𝐫𝐬, 𝐒𝐨𝐯𝐞𝐫𝐞𝐢𝐠𝐧 𝐀𝐈, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐑𝐢𝐬𝐞 𝐨𝐟 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐠𝐞𝐧𝐭𝐬 (𝐉𝐮𝐧𝐞 — 𝐉𝐮𝐥𝐲 𝟐𝟎𝟐𝟔)

The AI industry is entering a new phase.

The conversation is no longer just about building bigger models. Instead, providers are competing on 𝐜𝐨𝐬𝐭, 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐲, 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞, 𝐚𝐧𝐝 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐫𝐞𝐚𝐝𝐢𝐧𝐞𝐬𝐬. Powerful models are becoming significantly more affordable, sovereign AI initiatives are reshaping the competitive landscape, and regulators are beginning to respond to the growing capabilities of autonomous agents.

Here are the key developments from June–July 2026 that every technology leader should be watching, assembled and analyzed by our AI Strategy Specialist, Igor Kravchenko .

Swipe through for this month's biggest AI updates.

07/28/2026

𝐇𝐑 𝐡𝐚𝐬 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞𝐞𝐧 𝐚𝐛𝐨𝐮𝐭 𝐩𝐞𝐨𝐩𝐥𝐞.

However, too much of an HR team's day is still spent on repetitive administrative work instead of meaningful employee interactions.

That's where AI can make the biggest difference.

Not by replacing HR professionals, but by giving them more time to focus on what humans do best.

Here are just a few ways AI is already improving existing HR systems:

👉𝐂𝐕 𝐬𝐜𝐫𝐞𝐞𝐧𝐢𝐧𝐠: Automatically identify candidates who best match the role, helping recruiters review applications faster while keeping the final decision in human hands.
👉𝐇𝐑 𝐜𝐡𝐚𝐭𝐛𝐨𝐭𝐬: Answer common employee questions 24/7, from leave policies to benefits, reducing repetitive requests to HR teams.
👉𝐒𝐦𝐚𝐫𝐭𝐞𝐫 𝐨𝐧𝐛𝐨𝐚𝐫𝐝𝐢𝐧𝐠: Guide new hires through documents, training materials, and company policies with personalized AI assistance.
👉𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐚𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭𝐬: Help employees instantly find HR policies, procedures, and company information without searching through endless documentation.

The result is not fewer HR professionals. It's HR teams with 𝒎𝒐𝒓𝒆 𝒕𝒊𝒎𝒆 𝒇𝒐𝒓 𝒔𝒕𝒓𝒂𝒕𝒆𝒈𝒊𝒄 𝒉𝒊𝒓𝒊𝒏𝒈, employee development, culture, and engagement.

The most successful AI implementations don't try to replace human expertise; they remove the repetitive work that gets in the way of it.

The future of HR isn't AI 𝒊𝒏𝒔𝒕𝒆𝒂𝒅 of people.

It's AI helping people create better workplace experiences.

07/27/2026

“𝐖𝐡𝐢𝐜𝐡 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐡𝐮𝐛 𝐬𝐡𝐨𝐮𝐥𝐝 𝐰𝐞 𝐜𝐡𝐨𝐨𝐬𝐞?”

That’s one of the most common questions we hear from CTOs evaluating global team extension.

In this video, Globaldev CEO Dror Har explains why we invested in 𝐔𝐤𝐫𝐚𝐢𝐧𝐞, 𝐏𝐨𝐥𝐚𝐧𝐝, 𝐀𝐫𝐦𝐞𝐧𝐢𝐚, and 𝐕𝐢𝐞𝐭𝐧𝐚𝐦, and why each hub serves a different strategic purpose, from EU compliance and rapid hiring to cost-efficient scaling and access to deep engineering talent.

If you’re planning a long-term engineering team extension, this breakdown can help you evaluate which model fits your business best.

👉 Thailand’s hospitality market is evolving quickly, and guest expectations are changing just as fast.Travelers want ins...
07/24/2026

👉 Thailand’s hospitality market is evolving quickly, and guest expectations are changing just as fast.

Travelers want instant answers, seamless booking experiences, and a check-in process that feels effortless.

For hospitality startups, this creates a huge opportunity to build operations that are both 𝐠𝐮𝐞𝐬𝐭-𝐟𝐫𝐢𝐞𝐧𝐝𝐥𝐲 𝐚𝐧𝐝 𝐡𝐢𝐠𝐡𝐥𝐲 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭.

𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐭𝐡𝐫𝐞𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐰𝐞’𝐫𝐞 𝐬𝐞𝐞𝐢𝐧𝐠 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐭𝐡𝐞 𝐛𝐢𝐠𝐠𝐞𝐬𝐭 𝐢𝐦𝐩𝐚𝐜𝐭:

1. 𝑨𝑰 𝒄𝒉𝒂𝒕𝒃𝒐𝒕 𝒇𝒐𝒓 𝒃𝒐𝒐𝒌𝒊𝒏𝒈𝒔 & 𝒓𝒆𝒔𝒆𝒓𝒗𝒂𝒕𝒊𝒐𝒏𝒔

A multilingual AI assistant can answer questions 24/7, recommend rooms, handle reservation requests, and reduce the workload on front-desk staff.

2. 𝑫𝒊𝒓𝒆𝒄𝒕 𝒃𝒐𝒐𝒌𝒊𝒏𝒈 𝒘𝒆𝒃𝒔𝒊𝒕𝒆 (𝒓𝒆𝒅𝒖𝒄𝒊𝒏𝒈 𝑶𝑻𝑨 𝒅𝒆𝒑𝒆𝒏𝒅𝒆𝒏𝒄𝒚)

Relying solely on OTAs means paying significant commission fees and losing direct access to customer relationships. A high-converting booking website helps increase direct reservations, improve margins, and create opportunities for loyalty and repeat stays.

3. 𝑭𝒂𝒄𝒆-𝒓𝒆𝒄𝒐𝒈𝒏𝒊𝒕𝒊𝒐𝒏 𝒄𝒉𝒆𝒄𝒌-𝒊𝒏 𝒂𝒖𝒕𝒐𝒎𝒂𝒕𝒊𝒐𝒏

Guests can verify their identity and complete check-in in seconds, reducing queues and creating a smoother arrival experience — especially valuable for boutique hotels, resorts, and serviced apartments.

The real value comes when these systems work together: 𝐀𝐈 𝐜𝐡𝐚𝐭𝐛𝐨𝐭 → 𝐃𝐢𝐫𝐞𝐜𝐭 𝐛𝐨𝐨𝐤𝐢𝐧𝐠 → 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐜𝐡𝐞𝐜𝐤-𝐢𝐧

That creates a digital guest journey that is faster for travelers and more scalable for hotel operators.

Thailand is becoming one of the most exciting markets for hospitality innovation, and startups that invest in automation early can build a significant competitive advantage.

𝑾𝒉𝒂𝒕’𝒔 𝒕𝒉𝒆 𝒃𝒊𝒈𝒈𝒆𝒔𝒕 𝒐𝒑𝒆𝒓𝒂𝒕𝒊𝒐𝒏𝒂𝒍 𝒄𝒉𝒂𝒍𝒍𝒆𝒏𝒈𝒆 𝒚𝒐𝒖’𝒓𝒆 𝒔𝒆𝒆𝒊𝒏𝒈 𝒊𝒏 𝒉𝒐𝒔𝒑𝒊𝒕𝒂𝒍𝒊𝒕𝒚 𝒕𝒐𝒅𝒂𝒚: 𝑶𝑻𝑨 𝒄𝒐𝒎𝒎𝒊𝒔𝒔𝒊𝒐𝒏𝒔, 𝒔𝒕𝒂𝒇𝒇𝒊𝒏𝒈, 𝒐𝒓 𝒈𝒖𝒆𝒔𝒕 𝒆𝒙𝒑𝒆𝒓𝒊𝒆𝒏𝒄𝒆?

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