Phily Hayes
CEO & Co-Founder, Zerve
AI’s role in business is expanding, and companies must find ways to safely and scalably harness their data to stay ahead.
As we dive deeper into 2024, AI isn’t just a buzzword — it’s a transformative force. The conversation has shifted from ‘What is AI?’ to ‘How can we leverage AI effectively?’ Companies are no longer just experimenting; they’re implementing AI to solve real business problems. The emphasis now is on practical applications that drive efficiency and innovation. The future belongs to those who can seamlessly integrate AI into their operations.
Open source vs. proprietary models
A hot debate is open source vs. proprietary AI models. Big tech companies are developing proprietary models, which offer high performance and robust support but come with hefty price tags and limited flexibility. Conversely, open-source models democratise AI, making it accessible for smaller enterprises to innovate without breaking the bank. These community-driven models are cost-effective, highly customisable and increasingly competitive in performance.
To stand out, businesses must harness their data safely and scalably.
Safe and scalable data utilisation
To stand out, businesses must harness their data safely and scalably. The key to creating differentiated value lies in how effectively an enterprise can use its data while ensuring security and scalability. This means integrating AI solutions that safeguard privacy and ensure data protection. It’s about building trust and demonstrating reliability.
Harness open-source, secure innovation
The trick is to harness the best of both worlds: the flexibility and creativity of open-source models while applying them to your own enterprise data. This approach allows you to innovate and streamline operations without compromising safety. Businesses need to carefully implement the controls and security required to keep their data safe, whether building this themselves or using turnkey solutions. Once established, these measures can transform into true efficiency.
As AI keeps advancing, businesses need to be smart about using their data safely and at scale. Balancing the flexibility of open-source AI with solid security measures, and leveraging their own data, can unlock new efficiencies and create lasting value. It’s not just about keeping up — it’s about leading the way.
