The Essentials of Data Science and Machine Learning

Global organizations have long used identity governance solutions to address user access and regulatory compliance requirements. Each technology requires a clear identification of which users need access, what resources they need, and how access can be controlled to prevent unauthorized usage. As the size and scope of these challenges has increased, traditional approaches like RBAC have fallen short, for the simple reason that defining and maintaining roles is time consuming and difficult using legacy tooling or even the dreaded spreadsheets. Operational costs are exploding, users are suffering from identity fatigue, and auditors are calling out rubber stamping as a regulatory issue.

Automation is a key variable to a company’s success. But how do we know how to build the right automation? Building automation powered by artificial intelligence can help ensure that the best actions are taken at the point of maximum impact. In this webinar, Nicolai Johnson-Borelli, SpringML, and Marco Casalaina, Salesforce, discuss how Salesforce’s Einstein product suite, such as Einstein Discovery and Einstein Recommendation Builder, can enable intelligent automation to streamline and scale decision-making.

Watch this webinar to understand how Hortonworks DataFlow (HDF) has evolved into the new Cloudera DataFlow (CDF). Learn about key capabilities that CDF delivers such as - Powerful data ingestion powered by Apache NiFi. Edge data collection by Apache MiNiFi. IoT-scale streaming data processing with Apache Kafka. Enterprise services to offer unified security and governance from edge-to-enterprise.

If we look at the current trend in the market, it is very clear that every company is moving towards adopting AI, Data Science, and MLOps into their company process. Every company is looking for problem solvers. These technologies today are used to recognize people (face recognition), detecting a threat, building a robot, or making an autonomous car.