Bringing Machine Learning to the Masses: AWS Announces Sagemaker Canvas
• SageMaker Canvas looks to democratize access to machine learning (ML).
• Access to analytic tools will generate a better understanding of company performance.
When discussing the future of artificial intelligence (AI) and ML, there is often an emphasis on advanced technical capabilities that will help realize futuristic visions such as self-driving cars. Given the competitive advantages at stake, it is no surprise that demand for skilled AI and ML specialists has quickly outstripped supply.
During his AWS re:Invent 2021 presentation, Bratin Saha, Vice President, Machine Learning, noted that AI and ML is the fastest-growing job category, posting a 74% growth rate in the U.S. over the past four years (per LinkedIn’s 2020 Emerging Jobs Report). Not surprisingly, this has led to a shortage of qualified AI and ML specialists. According to Saha, AWS customers are looking for solutions that empower more employees to do ML. This need for access by non-technical staff has led AWS to develop SageMaker Canvas. Continue reading “Bringing Machine Learning to the Masses: AWS Announces sagemaker Canvas”