In the news, Part 5 of CRN’s Big Data 100 looks at the vendors solution providers need to know in the data science and machine learning software space. Read the full article here.
What were the biggest big data topics of 2019? CRN’s Rick Whiting shares a list of the top 10 topics, including the explosion of automated machine learning software companies such as dotData. Read it here: https://bit.ly/2PPwM84 #bigdata #autoML #MachineLearning #AI
Read the latest article from our CEO Ryohei Fujimaki on how #automation is transforming #datascience in
@Forbes Cognitive World
Read the latest article from our CEO Ryohei Fujimaki on how #automation is transforming #datascience in
@Forbes Cognitive World
Data science has emerged as a new powerhouse for organizations. It has turned mountains of data into actionable business insights that can impact every part of the business. However, not all data science platforms and methodologies are created equal. The ability to use data science to make business decisions with transparency and accountability comes down to many factors. These may include whether the platform uses a Black Box or White Box model.
Once the industry standard, Black Box models offer high degrees of accuracy. Neither the transparency nor features required for accountability and actionable insights are provided. White Box models offer accuracy while also explaining how they behave, how they produce predictions and what influencing variables are available.
Read the full article “Mobile Apps That Use Big Data Better Do the Data Science Too” in App Developer Magazine featuring Ryohei Fujimaki, dotData CEO and founder.
