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Institutions may be concerned about the impact of artificial intelligence applications when they are placed in production, but obstructing these projects with handrails at first may slow innovation.
Andrew Ng, founder Depth Amnesty International One of the most prominent figures in developing artificial intelligence stressed the importance of observation and handrails in developing artificial intelligence Vb converting today. However, he added that these should not come at the expense of innovation and growth.
NG suggested that the institutions build inside the sand boxes for model projects quickly, find the pilots working, and start investing in observation and handrails of these applications after proving that they are working. This may seem intuitive for institutions looking to implement artificial intelligence.
>>Watch every coverage of our conversion 2025 here<“There is an important role for observation, safety and grades,” said NG. “I am frankly tending to put those at a later time because I find that one of the ways that large companies stop is that for engineers, anything, they must register by five presidents.”
He added that the major companies “cannot afford some of the random innovation team to charge something that destroys the brand or has sensitive information”, but this can also hinder innovation.
Instead, NG said that Sandboxes provides a way for developers’ teams to “quickly repetition with limited private information.” Sand boxes allow the institution to invest only in projects that work and then add technology to make them responsible, including observation and handrails.
It is not uncommon for sand companies to create innovation, Especially for artificial intelligence agents. Sand boxes Allow innovation Within the limits of institutions without touching any sensitive information they do not want to be general. However, they also allow the difference to be as creative as possible to test ideas.
Note quickly becomes a major topic as many AI applications and production agents enter. Salesforce Al -Wakil Library has been updated recently, Agentforce 3, to Provide enhanced vision In the performance of the agent and more support for inter -operating standards, such as MCP.
Speed and decreased pilot costs
For NG, speed and innovation go alongside, and companies should not be afraid of that.
“Imagine that we were on the rotating ship, but this is the slow rotating ship. What happened last year, our rotating ship picked up a lot of speed, and this is really exciting because it is progressing,” said Nug. “I feel that the world is now on a rapidly motion vessel, and it is great.”
Nangram said that one of the factors that contributed to this speed is the tools now Developers to work and form quicklyNoting that coding factors are like Windsurf and Copilot I reduced the development time “from the projects that used to take me three months and six engineers.”
These coding agent platforms and other tools that help developers also move faster the cost of carrying out experimental projects.
“I don’t feel that the cost of proving concepts is so low that I am fine to do a lot of POCS (concept guides) is bad,” he said.
roadblock
One barrier, though, may find talent. NG has acknowledged that there are Amnesty International companies to employ engineers for models to implement salaries of up to $ 10 million, but the price is not high for software engineers.
“One of the biggest challenges that many companies face is talent,” he said. He said: “Good news for companies looking for engineers who are able to build requests, the price is not anywhere near the range of $ 5 million.”
The problem, however, is that there are still enough talent there who have experience in building artificial intelligence projects for institutions. Therefore, NG returns to its first solution: let them try in sand boxes and gain that experience.
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