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Entrepreneurship

On September 26, 2022, David Zhao had the chance to speak with Best Startup Texas about entrepreneurship:

It is really easy to start a business in Texas. The paperwork is straightforward. The Texas Secretary of State’s office does a great job at streamlining everything.
David Zhao, Coda Strategy

Low-Code

Low-code development tools are seeing an uptick in adoption rates. The problem is, many businesses don’t fully understand low-code before they dive in…which leads to unpleasant surprises and expensive ‘gotchas’.

“Low-code does not mean low-knowledge,” says David Zhao, Managing Director of Coda Strategy. “They have their own learning curves, which can sometimes be very steep, for the more complex tools.”
Joe Stangarone. (September 1, 2022) 10 things to know before diving into low-codemrc’s Cup of Joe Blog

Cloud Strategy

CIOs and IT decision makers should ask several questions about how and why they use third-party consultants to plan hybrid cloud strategy and roll out change. Coda Strategy offered one important question to the Enterprisers Project.

“With any technology, the CIO needs to ask: ‘With this tool, how can I create more business value than my business colleagues could without the tool?’” says David Zhao, managing director of Coda Strategy. “Cloud is no different. Cloud consultants need to bring business solutions to challenges that are relevant to the CIO’s peers in the executive team. Otherwise, cloud risks being a hammer looking for a nail.”
Kevin Casey. (June 21, 2022) Cloud consultants: 4 questions to ask about your strategyThe Enterprisers Project

Artificial Intelligence

A new paper claims that artificial intelligence can determine which research projects might need more regulation than others. It’s part of a growing effort to discover what kind of AI can be hazardous. Coda Strategy discussed the dangers of AI with Lifewire below.

David Zhao, the managing director of Coda Strategy, a company which consults on AI, said in an email interview with Lifewire that identifying dangerous AI can be difficult. The challenges lie in the fact that modern approaches to AI take a deep learning approach. “We know deep learning produces better results in numerous use cases, such as image detection or speech recognition,” Zhao said. “However, it is impossible for humans to understand how a deep learning algorithm works and how it produces its output. Therefore, it’s difficult to tell whether an AI that is producing good results is dangerous because it’s impossible for humans to understand what’s going on.”
Sascha Brodsky. (June 2, 2022) How AI Could Monitor Its Dangerous OffspringLifewire