Catalyte

AI is in our DNA. With our newly launched AI advisory services, we hope that it will be in yours, too. We're leveraging our 25 years of experience to help other organizations harness the power of AI to drive positive business results. Real-world solutions that cut through the hype and boost ROI, productivity and security. Whether you're planning your AI future or fully implementing the technologies you already have, we're here to help.

A research study interviewed 65 data scientists and engineers to find out how to avoid AI project failure. One of the top ways to ensure your AI project succeeds? "Focus on the problem, not the technology: Successful projects are laser-focused on the problem to be solved, not the technology used to solve it." AI, like with technologies that came before, doesn't work just because it exists. It works because you apply the right tool to solve the right problem. Our AI advisory consultants can help you best match solution to problem and avoid AI pitfalls.

🥦🥦🥦TALENT TUESDAY 🍉🍉🍉 Tomorrow, our very own Kate Burgin will be part a Maryland Apprenticeship 2030 Commission event, talking about the great work our apprentices have done with a state agency. Joining Kate is Ricardo, a leader on that public sector team. Learn more about him and how his previous leadership experience has translated so well to his current role.

Hires without degrees are 20% more likely to remain at their firms than their college-educated peers.

The success of any AI initiative is built on the three pillars of cloud, data and cybersecurity. These form an interrelated web that support any AI initiative. Without proper analysis of these during implementation, there's a high risk your AI systems will fail. Hear Catalyte's AI Advisory Practice Lead Chris Sorel talk about these interdependencies and how organizations can tackle them holistically to ensure AI success.

The first step in AI and gen AI projects is always to get the right data.

🚨🚨🚨TALENT TUESDAY🚨🚨🚨 Catalyte provides talent for immediate, pressing needs that can also support long-term initiatives. The breadth and depth of our tech talent lets companies easily grow engagements with us.

To drive ROI, growth and efficiencies, data science teams must go beyond model deployment and ensure business teams use the analytics capabilities that are provided.

Skills-based hiring is a win-win approach: it creates new talent pools for employers while removing artificial barriers for the 60% of the U.S. workforce without a four-year degree. But simply removing degree requirements—or making high-profile public pledges to do so—does not magically unlock the benefits of skills-based practices.

The ethics of AI, new hires and gold-medal-worthy developers. See what you missed in our August newsletter. Link to sign up to receive it is in the comments. https://lnkd.in/eyU2MF6t