Sinne Schulungen finden - Das passende Seminar in Ihrer Nähe

Overview

Preparation and transformation of data with IBM Data Refinery is the third course in the learning path for professional data scientists that are working with the IBM Cloud Pak for Data platform. The course aims to familiarize data scientists with the data cleansing, and data shaping capabilities of the Data Refinery tool. Data Refinery saves preparation time by quickly transforming large amounts of raw data into consumable, high-quality information that' s ready for analytics.

Learners follow the story of Sara (the data scientist), Muneiza (the data engineer), Liam (the data steward), and Tim (the data quality analyst) working in the Data Analytics department of a large health products company. The company plans a marketing campaign around coupons that are issued to customers and wants to better understand customer behavior. But they first need to access and prepare the relevant data for analytics. The team will mainly use IBM Data Refinery for this task.

Follow along with Sara, Muneiza, Liam, and Timâs story as learners create a suitable data set ready for analytics. Learners verify their acquired knowledge by completing several hands-on lab exercises in a remote classroom environment (provided to each learner during the course introduction).

Overview

In this 1-day instructor led course the students will learn about automation scripting in Maximo, including how automation scripts can be used to extend functionality using code written in Python or JavaScript. This includes learning about launch points, variables and Maximo business objects in Maximo and how to use them and write scripts and run them with different launch points. 

Along with a combination of procedural information and demonstrations, this course also has hands-on lab exercises using a Red Hat OpenShift Maximo Manage environment for you to try out.

Overview

Building Intelligent Virtual Agents with IBM Watson Assistant aims to equip nontechnical business users with the skills and experience to build and launch their own intelligent virtual agent with IBM Watson Assistant. The course walks users through the process of planning, and then building, a virtual agent. You learn to create basic and advanced conversational flows that fulfill users’ requests, leverage out of the box artificial intelligence features, and tie into analytics dashboards for monitoring and troubleshooting. The lab environment for this course uses IBM Cloud.

3-Tage Zertifikatslehrgang

Strategie – Umsetzung – Führung

Der/die Verkaufsleiter/in

Der/die Verkaufsleiter/-in wird immer stärker zum Erfolgsfaktor bei der Zukunftssicherung von Unternehmen. Gravierende Veränderungen am Markt oder beim Kundeneinkaufsverhalten sowie die Digitalisierung des Kundenmanagements erfordern andere strategische Vorgehensweisen. Gleichzeitig bedarf es neuer Führungskonzepte, um in flachen Hierarchien cross-funktionale Teams über Ziele und Kennzahlen zu steuern.
In diesem Zertifikatslehrgang erhalten Sie einen praxisnahen Überblick über aktuelle Vertriebs-Trends und lernen Methoden sowie Werkzeuge der strategischen Vertriebsarbeit kennen. Sie erfahren, wie Sie durch moderne Kundenmanagement-, Strategie- und Führungsmethoden Erfolge für Kunden und Mitarbeiter messbar machen. Sie erhalten wertvolle Tipps, wie Sie gezielt Mehrwertkonzepte entwickeln und in Verhandlungen erfolgreich vermitteln können.

Overview

IBM FlashSystem V9000 is a comprehensive all-flash enterprise storage solution that delivers the full capabilities of IBM FlashCore technology. FlashSystem V9000 offers a rich set of storage virtualization features designed to improve efficiency, management, scalability and flexibility for any storage environments. FlashSystem V9000 delivers industry-leading value to enterprises along three dimensions: Scalable Performance, Enduring Economics, and Agile Integration.

This course focuses on the planning and implementation tasks associated with integrating the FlashSystem V9000 into the storage area network, and facilitate storage application data access independence from storage management functions and requirements.

It also explains how to:

• Centralize storage provisioning to host servers from common storage pools using internal storage and SAN attached external heterogeneous storage.
• Improve storage utilization effectiveness using Thin Provisioning and Real-Time Compression
• Implement storage tiering and optimization of flash, enterprise or nealine systems usage with Easy Tier.
• Facilitate the coexistence and migration of data from non-virtualization to the virtualized environment.
• Utilize network-level storage subsystem-independent data replication services to satisfy backup and disaster recovery requirements.