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"Pro5.ai has helped shorten the hire to onboard timeframe by weeks, and elevated our client's experience
Recruitment is a tough, challenging business. It seems that Pro5.ai has already cracked the code."
APAC Partnerships Lead,
Deel
"We value Pro5.ai's global recruitment and sourcing capability.
Together, we have successfully made placements in every continent around the globe."
Head of Global Solutions,
Career International
"Pro5 has a fantastic assessment and selection process.
They put the data an analytics first in recruitment."
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Head of HR,
IHG
"I highly recommend Pro5 for speed & talent quality.
They allow us to serve our clients quicker."
Head of People,
Insite
"The collaborative partnership between Pro5.ai and Slasify has elevated our remote HR solution offerings, facilitating the seamless sourcing of top-tier professionals globally for clients who hire their remote talents under our Employer of Record services.
Through Pro5.ai's expertise, we've successfully filled critical positions in diverse industries, delivering exceptional talent that aligns perfectly with our clients' needs.
Their proactive approach and dedication to understanding our business have played a pivotal role in enhancing our competitive edge and driving business growth."
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Head of Vendor Management,
Slasify
"Through their vendor selection and rigorous candidate vetting process, Pro5.ai provides us high-quality candidates that result in a higher closing rate than other vendors, saving us a lot of time and speeding up our hiring.
They are also very customer-centric and responsive to our requests. It's been a pleasure working with them."
VP Engineering,
Ninja Van Group
"We believe in Pro5.ai's systematic vetting and matching process!
Their data-rich and structured talent profiles really help a lot in building a point of view before deciding to proceed with an interview.
The team has always been very responsive and helpful in the process of selecting talent, onboarding, and maintaining the ongoing relationship.”
Co-Founder & CTO,
StashAway
Edge Computing Architecture refers to the design and framework that enables data processing closer to the source of data generation, such as devices, sensors, or local servers, rather than relying solely on centralized cloud servers. This decentralized approach allows for real-time data analysis, faster decision-making, and reduced latency by processing data at the "edge" of the network, near the devices that generate it.
In an edge computing architecture, the system typically consists of three key layers: the edge layer (where data is generated and processed locally by devices or edge servers), the network layer (responsible for transmitting data between edge devices and centralized systems), and the cloud layer (where additional processing and data storage may occur if needed). By distributing computing tasks and minimizing the distance data needs to travel, edge computing optimizes performance, reduces bandwidth use, and supports applications that require near-instantaneous responses, such as autonomous vehicles, IoT, and industrial automation.
Autonomous Vehicles
Industrial Automation
Smart Cities
Healthcare
Retail
IoT and Smart Devices
An Edge Computing Architect ensures that data processing is done at the edge of the network, reducing latency and enabling real-time decision-making, improving system responsiveness.
By processing data locally rather than sending it all to the cloud, an Edge Computing Architect helps minimize bandwidth and cloud storage costs, leading to more efficient use of resources.
They design edge computing systems that can scale with the growing number of devices and increasing data volume, ensuring long-term sustainability and flexibility.
By decentralizing data processing, an Edge Computing Architect ensures systems remain functional even during network disruptions, enhancing the overall resilience and uptime of critical applications.
They design systems where sensitive data can be processed and analyzed locally, minimizing the risk of exposure during transmission and ensuring compliance with data privacy regulations.
%20(2).png)
Edge Computing Architecture refers to the design and framework that enables data processing closer to the source of data generation, such as devices, sensors, or local servers, rather than relying solely on centralized cloud servers. This decentralized approach allows for real-time data analysis, faster decision-making, and reduced latency by processing data at the "edge" of the network, near the devices that generate it.
In an edge computing architecture, the system typically consists of three key layers: the edge layer (where data is generated and processed locally by devices or edge servers), the network layer (responsible for transmitting data between edge devices and centralized systems), and the cloud layer (where additional processing and data storage may occur if needed). By distributing computing tasks and minimizing the distance data needs to travel, edge computing optimizes performance, reduces bandwidth use, and supports applications that require near-instantaneous responses, such as autonomous vehicles, IoT, and industrial automation.
Autonomous Vehicles
Industrial Automation
Smart Cities
Healthcare
Retail
IoT and Smart Devices
An Edge Computing Architect ensures that data processing is done at the edge of the network, reducing latency and enabling real-time decision-making, improving system responsiveness.
By processing data locally rather than sending it all to the cloud, an Edge Computing Architect helps minimize bandwidth and cloud storage costs, leading to more efficient use of resources.
They design edge computing systems that can scale with the growing number of devices and increasing data volume, ensuring long-term sustainability and flexibility.
By decentralizing data processing, an Edge Computing Architect ensures systems remain functional even during network disruptions, enhancing the overall resilience and uptime of critical applications.
They design systems where sensitive data can be processed and analyzed locally, minimizing the risk of exposure during transmission and ensuring compliance with data privacy regulations.
.png)
"Through their vendor selection and rigorous candidate vetting process, Pro5.ai provides us high-quality candidates that result in a higher closing rate than other vendors, saving us a lot of time and speeding up our hiring.
They are also very customer-centric and responsive to our requests. It's been a pleasure working with them."
VP Engineering,
Ninja Van Group
"Pro5.ai has helped shorten the hire to onboard timeframe by weeks, and elevated our client's experience
Recruitment is a tough, challenging business. It seems that Pro5.ai has already cracked the code."
APAC Partnerships Lead,
Deel
"I highly recommend Pro5 for speed & talent quality.
They allow us to serve our clients quicker."
Head of People,
Insite
