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Culture is the secret ingredient to successful AI companies  

​​​​​​​Read Time : 3 minutes 


​​​​​​​AI has the potential to help people thrive and lead better lives, and for that reason, more and more companies are leveraging the technology. According to McKinsey’s latest report on the State of AI, over half of respondents say their organizations have adopted AI in at least one function, and that there is appetite for continued investment.

A number of complex and nuanced factors contribute to an organization’s success in AI. Access to large datasets and compute power, along with a commitment to ethical AI are essential. But equally important – though not as widely discussed – are the cultural components that allow AI-powered organizations to thrive

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Alex LaPlante

Senior Director of Product and Business Development at Borealis AI


“A number of mindset shifts and process changes need to take place for organizations to thrive in AI development,” says Alex LaPlante, Senior Director of Product and Business Development at Borealis AI. “We focus on four key pillars: people, process, culture, and technology. Each one of these plays an integral role in our day-to-day operations and contributes to our overall success in AI.” 
Four Key Success Pillars

People: When it comes to AI development and innovation, personality traits like curiosity, humility, flexibility, and “scrappiness” can be just as important as technical skills. For organizations, it’s critical to focus on diversity, and to be open to upskilling, education, and providing outside-the-box opportunities for passionate employees to learn about AI.

Process: From ideation to deployment and monitoring, organizations need to ensure that their processes are balanced and flexible, and that they allow for exploration and experimentation. Space should be created for iteration throughout the product life cycle, both during development and after deployment.

Culture: AI is built for humans by humans, so building great AI starts with a strong human-centric culture of trust and respect. This can mean trust in algorithms, or trust and respect between business partners, technical teams and clients. Regardless of the interpretation, these principles paired with a relentless focus on helping the end user should be central in defining how organizations approach AI development and implementation.

Tech: Perhaps the most obvious pillar, technology plays a crucial role in developing and deploying AI solutions. Organizations should consider their AI capabilities and aspirations in tandem, and make tech investments that will not only support their current needs but also their goals for the future. 

For more information on Borealis AI, visit www.borealisai.com. 
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