In response to the growing interest in low-code/no-code platforms, Google has updated its Vertex AI platform. But the company is far from alone in a market that also attracts the greed of Microsoft, Oracle, Salesforce …
About a year ago, with the launch of its Vertex AI platform, Google made a big bet on low code/no code software development. But, according to analysts, this new version could finally allow the Internet giant to find a place in this highly competitive market. Last Thursday at the Applied ML Summit, Google Cloud announced several features for Vertex AI, including Training Reduction Server, Tabular Workflow, and Example-Based Explanations. Objective: Help customers better use machine learning models and reduce their reliance on skilled experts. “Based on our benchmarks, in 2021, the number of ML predictions generated by Vertex AI and BigQuery has grown 2.5x, and over the past six months, the number of active Vertex AI Workbench customers has increased at 25. “Customers made it clear that managed and integrated ML platforms are critical to accelerating ML deployment in production,” Google said in a blog post.
In early 2020, with the acquisition of AppSheet, a company created eight years ago, Google entered the low-code/no-code market. Despite this acquisition, Google is not yet a serious competitor in this market. However, according to analysts, Vertex could give Google another chance to establish itself in the low-code or no-code software development market. “Vertex AI’s value proposition, which promises to reduce the number of lines of code required by 80% compared to other platforms to train a model with custom libraries, could strengthen Google’s positioning in low code/no code space, ”said Pareekh Jain, founder of Pareekh Consulting. “Google is not yet one of the major low-code/no-code platforms and this offer will help improve its positioning,” he added. According to Gartner’s Magic Quadrant for Enterprise Low-Code Applications, the leading players in the industry are OutSystems, Mendix, Microsoft, Salesforce, and ServiceNow. And in the report published in August last year, Google didn’t come out in any of the four quadrants.
Difficulty in establishing itself in the low-code software market
Although players like Oracle, Microsoft, Salesforce and Google offer low-code/no-code solutions, they have not seen the expected adoption, despite their promise to remove the burden of coding and allow non-data or machine learning specialists to create code for AI.
“Low-code/no-code platforms can bring greater efficiency and enough to build simple use cases, but often, even if they use them for a while, developers prefer to go back to traditional development tools.The problem is that the licensing cost of most traditional low code/no code (LCNC) tools is overwhelming and it won’t work properly when you start building any level of complexity in your code, ”said Saurabh Agrawal, senior vice president of analytics and customer relationship management at Lenskart.com, an e-commerce unicorn.“ Any AI project has three essential aspects: the layer data, the data visualization layer and the machine learning algorithm layer.Most LCNC platforms only work on one of these layers.Google has powerful solutions like BigQuery, Google analytics, and L ookr, often used for digital use cases. But if the company is able to turn all the layers in Vertex AI into automation platform strategy, it can be a strong player in this segment, ”Mr. Agrawal added.
Low code/no code, an opportunity for SMEs
Although, as a major benefit of low-code/no-code programming, most vendors often refer to less reliance on hard-to-find machine learning talent, analysts believe that SMBs looking to develop simpler solutions can offer tremendous opportunities to LCNC. “Until now, businesses have been more focused on the B2B market to attract business users, but the biggest opportunity for low-code/no-code platforms is technology democracy for SMBs and individuals. , ”said Pareekh Jain of Pareekh Consulting again. “Google and Microsoft are more likely to attract SMEs. It’s like the cloud market: it’s grown because AWS was first focused on SMBs. Later it became attractive for businesses,” he added. .