The dynamic adaptability of Generative AI has the potential to revolutionize the way companies manage risks, stay compliant with regulations, and accelerate speed to value with advanced analytics.
The adoption of Gen AI is taking off, but is moving slower with regulated industries like healthcare and financial services due to questions about regulatory compliance and ethical practices.
Maintaining human oversight is essential for Gen AI to run effectively. When your customers know that AI is being actively managed and overseen by a human, their confidence in what AI can do increases and their experience with your company improves.
Gen AI can be a game changer, but it can be challenging to identify where to start. Merkle Cardinal Path’s AI Advisory Services can help define your path across internal operations and external activation.
- Put privacy considerations at the center of your AI program. AI systems rely on large quantities of data. Before deploying AI applications, ensure that your data systems and processes are well established with a privacy-by-design approach to avoid introducing new data privacy compliance risks to the organization.
- Enable your teams and ops model to streamline and automate complex processes. Establish an AI Center of Excellence to train your teams on the fundamentals and empower them through best practices and knowledge sharing. Define a governance plan with guardrails for ethical deployment of AI aligned with evolving regulations, ultimately mitigating risk while maximizing the value derived from AI.
- Maximize revenue generation derived from AI applications. Assess your current-state and define your AI strategic roadmap by shaping your priorities across people, processes and tools.
- Align your tech stack with your current- and future-state use cases. Evaluate use cases aligned with your overarching strategy through alignment of business need, level of effort, potential risk, cost of operation and expected business outcome to use of technology and new vendor requirements.
- Foster proactive decision-making with advanced analytics. Use AI to identify patterns in data to solve complex problems and inform Next Best Action across audience segments and content to drive personalization and improve conversion rate. Evolve your measurement framework to align with opportunities and capabilities.
As your organization increases its use and reliance on AI to improve internal data operations and accelerate martech readiness, you’ll want to balance continued innovation with privacy safeguards to advance new ways of working. A Privacy Transformation roadmap and AI Strategic Roadmap work hand-in-hand to expand activation strategies that might otherwise be lost as privacy regulations intensify.
Unlocking AI’s full potential while staying compliant can be complex—but you don’t have to do it alone. Whether you’re optimizing AI adoption, strengthening governance, or aligning your tech stack, we’re here to help. Let’s connect and build a smarter, privacy-first AI strategy together.
