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Does The Popularity of AutoML Mean the End of Data Scientist Era?

2019 Predictions for Machine Learning

  • Thought Leadership

Manufacturers are adept in gathering data from their operations, but don’t always know how to make the best use of the data collected.  Data science automation can provide the needed guidance.

Dr. Ryohei Fujimaki, CEO and founder, of dotData, joins us to predict how machine learning will change data science over the next year.  Read the full article “2019 Predictions for Machine Learning” on Manufacturing.net for Ryohei’s five (5) predictions for machine learning.

dotData
dotData

dotData Automated Feature Engineering powers our full-cycle data science automation platform to help enterprise organizations accelerate ML and AI projects and deliver more business value by automating the hardest part of the data science and AI process - feature engineering and operationalization. Learn more at dotdata.com, and join us on Twitter and LinkedIn.

dotData's AI Platform

dotData Feature Factory Boosting ML Accuracy through Feature Discovery

dotData Feature Factory provides data scientists to develop curated features by turning data processing know-how into reusable assets. It enables the discovery of hidden patterns in data through algorithms within a feature space built around data, improving the speed and efficiency of feature discovery while enhancing reusability, reproducibility, collaboration among experts, and the quality and transparency of the process. dotData Feature Factory strengthens all data applications, including machine learning model predictions, data visualization through business intelligence (BI), and marketing automation.

dotData Insight Unlocking Hidden Patterns

dotData Insight is an innovative data analysis platform designed for business teams to identify high-value hyper-targeted data segments with ease. It provides dotData's hidden patterns through an intuitive, approachable interface. Through the powerful combination of AI-driven data analysis and GenAI, Insight discovers actionable business drivers that impact your most critical key performance indicators (KPIs). This convergence allows business teams to intuitively understand data insights, develop new business ideas, and more effectively plan and execute strategies.

dotData Ops Self-Service Deployment of Data and Prediction Pipelines

dotData Ops offers analytics teams a self-service platform to deploy data, features, and prediction pipelines directly into real business operations. By testing and quickly validating the business value of data analytics within your workflows, you build trust with decision-makers and accelerate investment decisions for production deployment. dotData’s automated feature engineering transforms MLOps by validating business value, diagnosing feature drift, and enhancing prediction accuracy.

dotData Cloud Eliminate Infrastructure Hassles with Fully Managed SaaS

dotData Cloud delivers each of dotData’s AI platforms as a fully managed SaaS solution, eliminating the need for businesses to build and maintain a large-scale data analysis infrastructure. This minimizes Total Cost of Ownership (TCO) and allows organizations to focus on critical issues while quickly experimenting with AI development. dotData Cloud’s architecture, certified as an AWS "Competency Partner," ensures top-tier technology standards and uses a single-tenant model for enhanced data security.