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Are You Ready For Full-cycle AutoML on Python? – Part 1

By Sachin Andhare

Data Science: Complex and Time-Consuming  Data science is at the heart of what many are calling the fourth industrial revolution. Businesses leverage Artificial Intelligence (AI) and Machine Learning (ML) across multiple industries and multiple use-cases to make more intelligent decisions and to accelerate decision-making processes. Data scientists play central roles in this revolution. However, according to a 2018 study published by LinkedIn, there is a national shortage of over 150,000 data science-related jobs. This severe shortage means that the race to improve the productivity of data scientists is leading to some exciting new technologies.  One of the primary challenges is the sheer complexity, iterative, and highly manual nature of the data science process. Data scientists must sift through scores of raw data, typically found in highly complex systems with hundreds of tables. Integrating and transforming those tables to create "feature tables" is at the heart of the entire process. Perhaps…

2019: The Year of AI and Machine Learning

By dotData

2018 will be remembered, in many ways, as the year that disruptive emerging technologies began to reshape business models and change the economics of organizations. According to Gartner, digital business reached a tipping point last year, with forty-nine percent of CIOs reporting that their enterprises have already changed their business models, or are in the process of doing so. When CIOs and IT leaders were asked which technologies they expect to be most disruptive, artificial intelligence (AI) was the top-mentioned technology, with data and analytics taking second place. Based on my work leading more than 100 data analysis projects across a variety of industries, the combination of these technologies is hardly surprising; it’s an accurate reflection of what my colleagues and I see in data science on a daily basis. Data science is now a major area of technology investment for organizations, driven by the impact it can have on…