AI Project execution relies on three key elements.
Infrastructure. The path to production for Machine Learning requires tools and platforms. These reduce development times and allow Data and Analytics team members to spend their time on the highest value generating activities.
Workflow. Building reliable models requires a managed process. The Machine Learning Workflow makes space for advanced research and keeps projects aligned with business goals. The Workflow creates certainty around project outcomes for the team and senior leadership.
Leadership. Data and Analytics Organizations need competent leadership. Technical leaders have a difficult time transitioning from task managers to leaders capable of guiding their team to produce results.
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