automate data science job
No-code AI, a subgroup of AI, can automate data science jobs in its own way.
Despite the fact that AI has been a hot issue for at least a decade, there are still barriers to its adoption by organisations. According to a Deloitte report, 40% of businesses believe AI technology and skills are too costly. No-code AI refers to a subgroup of artificial intelligence that aims to make AI more approachable to the general consumers. To implement AI and machine learning algorithms, no-code AI implies employing a no-code development platform with a graphical, code-free, and typically drag-and-drop interface. With no-coding AI, non-technical individuals can quickly categorise, assess, and create accurate models to make projections.
How No-code AI analytics is on its way to automate data science jobs?
Despite the fact that AI has been a hot issue for at least a decade, there are still barriers to its adoption by organisations. According to a Deloitte report, 40% of businesses believe AI technology and skills are too costly. No-code AI refers to a subgroup of artificial intelligence that aims to make AI more approachable to the general consumers. To implement AI and machine learning algorithms, no-code AI implies employing a no-code development platform with a graphical, code-free, and typically drag-and-drop interface. With no-coding AI, non-technical individuals can quickly categorise, assess, and create accurate models to make projections.
No-code AI analytics may soon automate data science jobs
The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. SparkBeyond, a company that helps analysts use AI to generate new answers to business problems without requiring any code, today has released its product SparkBeyond Discovery. The company aims to automate the job of a data scientist. Typically, a data scientist looking to solve a problem may be able to generate and test 10 or more hypotheses a day. With SparkBeyond's machine, millions of hypotheses can be generated per minute from the data it leverages from the open web and a client's internal data, the company says.
- Retail (0.53)
- Consumer Products & Services (0.32)
- Information Technology > Data Science (1.00)
- Information Technology > Artificial Intelligence (1.00)