Artificial Intelligence

  1. Mike Cullen

    Mike Cullen

    CISA, CISSP, CIPP/US

    Principal

  2. Dave DuVarney

    Dave DuVarney

    Principal

  3. Cassandra Walsh

    Cassandra Walsh

    CPA

    Partner

What is artificial intelligence?

$267 billion

The global AI market value is expected to reach $267 billion by 2027.

$15.7 trillion

AI is expected to contribute $15.7 trillion to the global economy by 2030.

As organizations move towards digitization, the growth and adoption of artificial intelligence (AI) continues to accelerate. AI technologies, robotic process automation (RPA), intelligent process automation (IPA) and diverse advanced analytics approaches and tools are already changing the way we work, serve customers and deliver results.

To remain competitive, leaders need to understand the business use cases for the types of technologies specific to your industry, the risks they can pose and how you can safely and securely reap the benefits these technologies provide.

The AI journey

Baker Tilly Digital and risk advisory can help you along your AI journey, from assessments and strategy development, through implementation and optimization.

Strategy

Intricately woven into your business strategy and overarching strategic objectives, we work with you to develop both short-term and long-term AI goals. Through rigorous data source validations and a comprehensive skills gap assessment, we ensure your organization is on the optimal AI trajectory for sustained success.

Custom solutions

From rapid prototyping to the seamless deployment of tailor-made AI solutions, spanning intricate machine learning models to cutting-edge generative AI, our team is primed to address your immediate AI requirements and ensure your readiness for the AI-driven future.

Optimization

Enhance the efficiency and effectiveness of your existing AI platform, models or infrastructure by harnessing evolving data and infusing purpose-driven insights, all meticulously tailored to align with your unique goals and aspirations.

Governance and compliance

Combining AI governance principles with robust data governance strategies, our comprehensive framework and guidance ensures organizations strike the right balance between innovation and compliance while considering transparency, accountability and ethical practices in both AI and data management. We can help you develop policies and procedures to manage the internal and external risk environment associated with AI while establishing internal controls to monitor and protect exposure at an organization.

AI governance framework

Initiating an AI governance framework from the outset of your AI journey is crucial for overseeing controlled growth, ensuring compliance with incoming regulations and emphasizing a strategy-first approach.