Yogi Schulz

Yogi Schulz has over 40 years of Information Technology experience in various industries. Yogi works extensively in the petroleum industry to select and implement financial, production revenue accounting, land & contracts, and geotechnical systems. He manages projects that arise from changes in business requirements, from the need to leverage technology opportunities and from mergers. His specialties include IT strategy, web strategy, and systems project management.

Articles by Yogi Schulz

Digital transformation systems and data issues (Article 2)

What systems and data issues can digital transformation resolve or reduce? This article describes multiple issues that digital transformation can attack. In the previous article,...

Digital transformation benefits (Article 1)

A series of articles created to enhance your understanding of digital transformation.

Top 10 causes of stalled AI/ML projects

Discussing the ten most common causes of AI/ML projects stalling (and eventually being cancelled), and how to formulate a plan to accelerate project process.

AI/ML applications for upstream oil and gas

More and more oil and natural gas producers are investing in Artificial Intelligence/Machine Learning (AI/ML) applications with mixed results. Nonetheless, adding AI/ML functionality to existing applications or building entirely new AI/ML applications can produce significant benefits.

Innovative Calgary information technology startups

Calgary’s tech innovators and entrepreneurs are leading digital transformation across the province and the world. Calgary is growing alongside Alberta into a global tech hub.

Strategies for successfully reopening after COVID-19

Thoughtful executives will prioritize planning for fully reopening their organizations now that the COVID-19 pandemic is subsiding. The new normal will not be the old normal.

Can standards help a CIO address AI/ML risks?

As more and more organizations develop and implement Artificial Intelligence (AI) or Machine Learning (ML) applications, questions about the reliability of the results are increasing. CIOs and senior management need a way to assess their design and performance.

Skeptical about explainability of AI-derived recommendations?

As a senior executive or CIO, how can you assure yourself that Artificial Intelligence or Machine Learning-derived recommendations are reasonable and flow logically from the project work that has been performed? Here are some high-level questions that you can ask the team about explainability.

Tech News