As your organization grows, it will produce more and more data. Just as having an effective data strategy will make sure that information growth can be properly managed, an effective AI strategy will make sure that that information growth translates to business value. Use your data to:
Without an effective strategy and roadmap, many companies find themselves at a technological dead end: the technologies they initially selected don’t scale or support cutting-edge AI when it is developed. Bad strategy leads to siloed projects that don’t build upon each other into a comprehensive AI program.
Effective AI strategies are opinionated and actionable. They are based on the real-life experiences of AI practitioners and deliver results.
With a time-tested AI strategy the investments you’re making today will continue to provide value well into the future.
No two companies deal with the same set of challenges, and an “out-of-the-box” AI strategy doesn’t exist. Here are some examples of what is typically covered and not covered.
This can differ from one organization to another, but the essential phases are similar:
AI Strategy costs are dependent on where a customer is in their data, analytics, and AI journeys and what their goals are. Our AI strategy engagements can start at around $40K.
A (very broad) overview of an AI strategy might look like this:
ABC, Inc. is a manufacturer of widgets and would like to establish an AI program that will give them an advantage over their competitors. After comparing the costs and benefits of different approaches, they’ve determined that the best path for them would be to establish a small pilot team consisting of a single data scientist and two engineers; this team will initially work on order-cancellation risk prediction, preventative maintenance, and schedule optimization.
ABC, Inc. wants to leverage AI, but they do not want to significantly invest in establishing an AI initiative at first. By using some off-the-shelf technologies and completing projects that have been valuable for others in their industry, they will quickly deliver business value that can be used to build a business case for and fund future expansion.
After reviewing the detailed plan and projected ROI, senior leadership has confidence in the overall AI strategy and roadmap. Roadmap execution begins.
We focus on efficient decision making and leveraging best practices to guide AI engagements. We make recommendations with the intent of showing immediate impact, and create a practical roadmap with achievable goals.
Keep your AI investment actionable. Don’t let your AI investment lead to a technological dead end.
Subscribe to our newsletter
Data Coach is our premium analytics training program with one-on-one coaching from renowned experts.
