AA - Advanced Analytics

It's important to learn how to embrace Azure DevOps for Data & Analytics workloads

Manual quality control in high-volume manufacturing can be unwieldy and time-consuming and can be a significant driver of costs. AI can alleviate a major portion of the issues associated with performing quality control in a high-volume production environment. Here is how.

What is customer segmentation Customer segmentation is a process of discovering groups of customers that have common characteristics. By grouping their customers, companies can better understand their specific needs and preferences and as such, create customized sales strategies, service levels, ... rather than treating them all the same. 

Dataiku Data Science Studio (DSS) is the collaborative data science platform that enables teams to explore, prototype, build, and deliver their own data products more efficiently.

IBM Data Science Experience is IBM's on-premise collaboration platform for data scientists. It allows data scientist to create, work and share notebooks written in R, Python or Scala.

SQL Server 2014 didnt bring any new features to Integration Services (SSIS). But SQL Server 2016 Integration Services is expanded with yet new features and capabilities.

IBM Watson is a family of applications which try to bring cognitive services in packages solutions. It includes sophisticated data discovery tools, predictive analytics tools and text-mining tools but also industry-specific solutions such as IBM Watson Health. It's main components are:

element61 offers coaching, guidance and implementation support on Data Science & AI to organizations wanting to get started with becoming smarter through & with data.

element61 hosts trainings for your teams in Business Analytics

These questions are being raised regularly by different people within the organizations we talk to. However, way too often, we see organizations looking immediately into technological solutions and diving directly into specific use-cases.