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Choose the Right Tools to Gain an AI Advantage
What the Quantum Bit Makes Possible
When Good Data Goes Bad, Part V
DEI Leadership in Action
The Difference Between Successful and Failed Technology Initiatives
Making Better Business Decisions with Dynamic Deep Learning
To Keep or Not to Keep Data?
Where Are Retailers Applying IPA?
Failing to Ask the Right Question
Embracing the Values and Practices of Steve Jobs
Survey: IPA Will Have Most Significant Impact on Banking & Financial Services
3 Myths About Building Diverse Workforces
In the Pandemic’s Wake, AI/ML Technologies Have Gone Mainstream
Look Beyond ROI in Early-Stage AI Projects
Nearly all software projects are premised on understanding user needs and requirements. In our experience with clients, we typically address this phase by working with prospective users to develop use cases. What are some common use cases? Well, it depends on the company, but we’ve seen use cases primarily fall into four categories for early-stage, toe-in-the-water AI compared to full-scale ML efforts:
Market and consumer intelligence
Sales and marketing
Pricing and optimization
Customer care
5 Tips for Fostering Self-Directed Teams
Diversity in Tech: Are We Moving the Needle or Just Idling? — An Introduction
Architects Must Look "Beyond the Hill"
Where Are Government Agencies Applying IPA?
The Chief Product Officer: A Growing Necessity
Beyond Agile: Management Methods for Solving Large-Scale Problems
Architecting Across Organizational Boundaries
Using Business Architecture to Build a Sustainable Future
4 Key Attributes of Successful Analytics Projects
Challenging the Social Context of Risk Management
For many decision makers in government and industry today, practicing robust risk management is still seen within their organizations’ social context as providing little if any positive upside, but instead possessing potentially large downside consequences for them personally and professionally. Many decision makers skeptically view rigorous risk analysis as akin to future blame analysis for something that might go wrong rather than a way to increase career or organization success.