DSDE: In Theory

Should that outside hotshot lead your digital transformation work or an insider who knows more about the culture and customers?

The two main takeaways from this paper: First, it underscores the difference between explainability and interpretability and presents why the former may be problematic. Second, it provides some great pointers for creating truly interpretable models.

The scientific literature is riddled with bad charts and graphs, leading to misunderstanding and worse. Avoiding design missteps can improve understanding of research.

Harnessing the industrial Internet of things has arguably become the biggest strategic priority for industrial companies in the race to gain competitive advantage through digital transformation.

Equating data to oil might make sense at first glance, given the data-driven success of tech companies, but the analogy breaks down as soon as you dig a little deeper.

The use of technology has helped ensure the profitability of the oil and gas industry despite a 50% fall in prices in 5 years. The key question, however, is whether the digital revolution can answer the sector’s biggest challenge: how to secure future production.

Disruption from artificial intelligence (AI) is here, but many company leaders aren’t sure what to expect from AI or how it fits into their business model. Yet, with change coming at breakneck speed, the time to identify your company’s AI strategy is now. 

One can almost guarantee that every engineer will consistently come into contact with data, no matter the engineer’s focus. Often, the data available to engineers is expansive; yet many are unequipped to handle it. Why then are data scientists not integrated into engineering teams at all levels?

The sixth annual Deep Learning Summit in London saw industry leaders, academics, researchers, and innovative startups present the latest technological advancements and industry application methods in the field of deep learning.

One of the foremost threats companies face today is that posed by cybercriminals, and the unique vulnerabilities of companies in the oil and gas sector create heightened cybersecurity risks for those pursuing transactions in the sector.