TechD in collaboration with IBM is proud to continue the live webinar series throughout the summer!
Below are overviews for the IBM Watson webinar on July 21st and IBM DataStage on Cloud Pak for Data on July 22nd! For more details please visit the webinar page or contact our sales team! Register today and please invite your colleagues!
Simplify and scale Data Science to predict and optimize business outcomes with IBM Watson! Live Webinar July 21,2020
IBM Watson Webinar Overview
With the volume and variety of social, mobile and device data, along with new technologies and tools, data science plays a broader role than ever before. For data science to be effective, its full life-cycle not only must support traditional analytics, but it must also work in concert with modern applications. This means that the practice of data science must evolve beyond routine, tedious tasks — as much 85% of a data scientist’s time is spent cleaning, shaping and moving data from place to place, often to feed machine learning. That leaves only a small percentage of time to find patterns and trends, to build models, to predict and forecast, and to interpret results. IBM Data Science solutions combine proven data, analytics and AI technology accelerate business value. Moreover they help data scientists and business analysts to develop, train and manage models and develop AI-powered applications for the enterprise more efficiently! By reducing the time and effort spent on data prep through automation and visualization tools fueled by AI and Machine Learning.
Guest Speaker: David West, IBM Data Scientist and Predictive Analytics Technical Specialist
Data Modernization: How can you do more with less through containerized ETL?- TechD & IBM webinar July 22, 2020
IBM DataStage on Cloud Pak for Data Webinar Overview
According to Gartner- “By 2023, more than 70% of global organizations will be running more than two containerized applications in production, up from less than 20% in 2019”.
Today, traditional data warehouses and data marts simply cannot accommodate the large volumes of data being generated from customer touchpoints, both from digital and offline channels. That’s why organizations are taking on data modernization to transition away from legacy systems to a modern cloud-based architecture for its scalability and elasticity, and leverage different analytics services on cloud environments. Using Containerized ETL to access data across multi-cloud environments is a key success factor for your data modernization project.
Join TechD and IBM for this webinar to learn how IBM DataStage on Cloud Pak for Data along with OpenShift can help you do more with less through containerized ETL.
Phil Black VP of Client Services IBM Data & AI TechD