DEMYSTIFYING DATA SCIENCE

Most companies know that data science and machine learning can have a profound impact on their business, but they often struggle on where to start and how to augment their existing analytics solutions with advanced analytics. Check out this webinar to learn more about data science and machine learning it is not as hard as you may think to get started; and once you do, you will see immediate business value.
Watch Now

Spotlight

OTHER ON-DEMAND WEBINARS

DataOps and Cloud Data Ecosystems: Overcoming the 3 Biggest Hurdles

The cloud is changing the way we use data and at the same time, the way we use data is changing the cloud. Organizations are adopting multiple cloud data platforms to maximize data’s value, but in doing so are often increasing complexity for data engineering and DataOps teams that may stifle the very reason for investing in those platforms.
Watch Now

Real-time Machine Learning: Architecture and Challenges

Fresh data beats stale data for machine learning applications. This on demand webinar discusses the value of fresh data as well as different types of architecture and challenges of online prediction, it will also cover the tradeoffs between latency, staleness, and cost.
Watch Now

Data extraction from documents: template-based or AI-based

In companies today, numerous documents are in circulation. Yet the data inside needs to be captured so it can be used for further processing. Just think about how the Finance team needs access to data in invoices. Or how the market analytics department needs access to utility bill data to perform market research. Brokers who need to retrieve data from purchase orders, IT departments that require data extraction as a part of a paperless workflow. The list goes on.
Watch Now

Real-Time Data Pipeline Automation for Databricks

Qlik offers solutions for creating analytics-ready data sets on the Databricks’ Unified Analytics Platform. They are designed to automate streaming data pipelines to make data seamlessly available to accelerate machine learning (ML), artificial intelligence (AI) and data science initiatives.
Watch Now