Business Objectives Experimentation Risk 
O'Reilly on Data
JULY 28, 2020
Without clarity in metrics, it’s impossible to do meaningful experimentation. Experiments allow AI PMs not only to test assumptions about the relevance and functionality of AI Products, but also to understand the effect (if any) of AI products on the business. Don’t expect agreement to come simply.
Rocket-Powered Data Science
FEBRUARY 15, 2023
First, don’t do something just because everyone else is doing it – there needs to be a valid business reason for your organization to be doing it, at the very least because you will need to explain it objectively to your stakeholders (employees, investors, clients). Test early and often. Expect continuous improvement.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO Business Intelligence
OCTOBER 15, 2024
Rick Boyce, CTO at AND Digital, underscores how a typical IT project mentality toward DevOps can undercut the CIO’s ability to deliver on business objectives. Applications sanctioned for frequent, continuous deployments should have robust continuous testing, enhanced observability, and a canary release strategy to minimize risks.
CIO Business Intelligence
JULY 5, 2024
So, to maximize the ROI of gen AI efforts and investments, it’s important to move from ad-hoc experimentation to a more purposeful strategy and systematic approach to implementation. Here are five best practices to get the most business benefit from gen AI.
CIO Business Intelligence
AUGUST 20, 2024
We’re now entering a new gen AI era, which is already impacting how we staff teams, their business objectives, and the tools they use to deliver innovations. CIOs have a new opportunity to communicate a gen AI vision for using copilots and improve their collaborative cultures to help accelerate AI adoption while avoiding risks.
CIO Business Intelligence
OCTOBER 24, 2024
The long-term impact is even more worrying — companies risk falling behind competitors who are implementing AI strategically. Rosen sees a lot of experimentation without a clear sense of direction, from companies that don’t have a clear idea of what AI projects will match their business needs. Businesses need to embrace it.”
CIO Business Intelligence
MARCH 7, 2023
But the faster transition often caused underperforming apps, greater security risks, higher costs, and fewer business outcomes, forcing IT to address these issues before starting app modernizations. Here are some force-multiplying differences achievable by agile data teams: Want that dashboard, then update the data catalog.
Expert insights. Personalized for you.
363 
Let's personalize your content