The rise of big data and artificial intelligence (AI) is transforming analytics across industries. Companies need to effectively leverage machine learning technology in order to advance their business intelligence initiatives and remain competitive. However, many business professionals are struggling to take advantage of complicated big data technologies such as Hadoop and Spark.
To get the most out of their analytics initiatives, organizations of all sizes are turning to new self-service data preparation and automated machine learning technologies that enable them to unlock the full potential of their big data investments.
Watch this on-demand webinar hosted by Data Science Central to learn:
- Why big data solutions like Hadoop and Spark are ideal for machine learning and advanced analytics initiatives
- The definitions and advantages of automated machine learning and self-service data preparation for big data analytics
- How these technologies drastically reduce the work ordinarily required to gain value from machine learning initiatives
- How the combination of DataRobot and Trifacta rapidly delivers more accurate outcomes from machine learning initiatives