This article is part of our series that explores thebusiness of artificial intelligence.
And according to several surveys, data science is among the fastest-growing in-demand skills in different sectors.
And not everyone is served equally.
Underserved industries
The shortage of experts has created fierce competition fordata science and machine learning talent.
The financial sector is leading the way,aggressively hiring AI talentand putting machine learning models into use.
Bardoliwalla is especially passionate aboutwhat AI could do for the education sector.
How much effort is being put into optimized student outcomes by using AI and ML?
How much do the education industry and the school systems have to invest in that technology?
And part of the solution might be to make ML tools that dont require a degree in data science.
This is the area that no-code AI platforms are addressing.
No-code AI is not a replacement for the expert data scientist.
But it increases ML productivity across organizations, empowering more people to create models.
This evolution of machine learning tools is analogous to how the business intelligence industry has changed.
Bardoliwalla believes that the same transformation is happening in the AI industry thanks to no-code AI platforms.
Since then, the platform has expanded at the fast pace of the applied machine learning industry.
The AI Cloud has evolved into an end-to-end no-code platform that covers the entire machine learning development lifecycle.
The platform also monitors deployed ML models for decay, data-drift, and other factors that can affect performance.
Our vision expanded dramatically, and the first evidence of the end-to-end platform arrived in 2019.
But no-code AI still has a lot to offer.
The future of no-code AI is going to be about increasing the level of automation that platforms can provide.
The more you increase the level of automation, the less you have to write code, Bardoliwalla said.
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