Six AI Priorities You Can’t Afford to Ignore

Businesses have big plans for artificial intelligence (AI). The goal isn’t just a pilot here or there. It’s AI throughout the business, providing ROI today and leadership for the economy of tomorrow. Our prediction for 2019? Those companies that focus on these six key areas will become AI leaders.

Practical strategies to deliver on your AI priorities: 1. Structure: Organize for ROI and momentum

Pressure will grow to scale up AI in 2019 to enhance decision-making and provide forward-looking intelligence for people in every department and function. The right AI governance model enables you to develop use cases that create quick wins.

2. Workforce: Teach AI citizens and specialists to work together

AI is being democratized, but it’s still so complex that even trained business specialists can make mistakes. Develop the right mix of citizen users, citizen developers, and data scientists — and give them the tools, training, and incentives to help them work collaboratively.

3. Trust: Make AI responsible in all its dimensions

Customers, employees, boards, regulators, and corporate partners are asking the same question: Can we trust AI? To answer that affirmatively, assign accountability for fairness, interpretability, robustness and security, governance, and system ethics.

4. Data: Locate and label to teach the machines

AI can help companies manage risk, make better decisions, improve document classification, automate customer operations, and more. But first, prioritize what many survey respondents didn’t: label, standardize, and integrate data to train AI.

Only then can AI find patterns in the present and provide insight into the future.

5. Reinvention: Monetize AI through personalization and higher quality

Boosting the top and bottom lines with AI is not a distant dream. AI’S power can help businesses create and market high-quality, personalized, data-driven products and services. Companies can use AI to help with strategy, invent new business models, and eventually transform their organizations.

6. Convergence: Combine AI with analytics, the IOT, and more

AI’S power grows when it is integrated with other technologies, including analytics, the IOT, blockchain, and, eventually, quantum computing. Devops techniques can help manage this convergence by bringing diverse specialists together to keep projects flowing smoothly

For local questions, please reach out to:

Miranda Hardy

PWC Canada

Services

604-495-8960 miranda.e.hardy@pwc.com