Brandon serves customer insights professionals, covering customer analytics and artificial intelligence. His work helps organizations derive meaningful insights from customer data to attract and retain customers, increase customer loyalty and profitability, and inform product development and service delivery. His research agenda also includes artificial intelligence strategy with a specific focus on responsible and ethical AI.
Five trust elements are the primary challenge for AI agent adoption.
Explore 10 more emerging technologies to understand their impact and benefits potential in the short, medium, and long term.
Use the Forrester Data, AI, And Analytics Decision Model to navigate the analytics-driven decision lifecycle, from defining business objectives to measuring outcomes.
Use this tool to define who is responsible, consulted, accountable, and informed for AI governance activities.
Data, AI, and analytics leaders need to scale their organizational influence, build trust in their team and their data, and enable stakeholders to make better decisions.
Data, AI, and analytics leaders must strive for scale, enable stakeholders, and engender trust to improve organizational decision-making with analytics.
What research can you expect from Forrester in the next 12 months? Updated biweekly, our publishing plan will keep you current with market and technology trends. Use the link below to download a list of our upcoming research.