Feb 07, 2024
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Service categories
Service Lines
Artificial Intelligence
Domain focus
Technology
Challenge
AMI struggled to keep pace with innovation given their small engineering team. They lacked specialized talent in deep learning and neural networks to advance their AI diagnostic capabilities. Attempts to recruit this expertise locally proved difficult and slowed their product roadmap.
Moreover, AMI’s core analytics system suddenly began experiencing major performance issues right before a critical product release. Their engineers realized the system needed to be urgently rebuilt on a new tech stack to handle the data volumes. However, AMI did not have specialized developers on staff with expertise in this rare technology combination.
AMI struggled to keep pace with innovation given their small engineering team. They lacked specialized talent in deep learning and neural networks to advance their AI diagnostic capabilities. Attempts to recruit this expertise locally proved difficult and slowed their product roadmap.
Moreover, AMI’s core analytics system suddenly began experiencing major performance issues right before a critical product release. Their engineers realized the system needed to be urgently rebuilt on a new tech stack to handle the data volumes. However, AMI did not have specialized developers on staff with expertise in this rare technology combination.
Solution
AMI selected Hivex as their key recruitment and management partner. Hivex’s global talent network gave AMI access to pre-screened AI and healthcare technologists from around the world.
The partnership began by aligning on technical must-haves and preferred soft skills. Hivex then matched AMI with dedicated engineers that met their criteria. With project management tools like Jira and daily standups over Zoom, the distributed teams collaborated seamlessly.
AMI selected Hivex as their key recruitment and management partner. Hivex’s global talent network gave AMI access to pre-screened AI and healthcare technologists from around the world.
The partnership began by aligning on technical must-haves and preferred soft skills. Hivex then matched AMI with dedicated engineers that met their criteria. With project management tools like Jira and daily standups over Zoom, the distributed teams collaborated seamlessly.
Results
Within 5 months, AMI doubled its AI engineering capacity. This enabled them to develop a deep learning diagnostic tool with 90% accuracy, positioning them as leaders in AI clinical decision support. Their talent growth via Hivex also increased engineering productivity by 35% and accelerated their product roadmap speed.
Within 5 months, AMI doubled its AI engineering capacity. This enabled them to develop a deep learning diagnostic tool with 90% accuracy, positioning them as leaders in AI clinical decision support. Their talent growth via Hivex also increased engineering productivity by 35% and accelerated their product roadmap speed.