OSS Group's guide to IBM Cloud Pak for Data

Watson Knowledge Catalogue

• A data catalog that is tightly integrated with an enterprise data governance platform
• Helps business users quickly discover, curate, categorise and share data assets, data sets, analytical models and their relationships with other members of your organisation. It serves as a single source of truth for data engineers, data stewards, data scientists and business analysts to gain self-service access to data they can trust
• With data governance, data quality and active policy management, it helps your organisation protect and govern sensitive data, trace data lineage and manage data lakes

Watson Studio

• Watson Studio is a collaborative environment with graphical tools for designing, training, deploying, and managing models with your Watson Machine Learning services

Watson Discovery

• Surface answers and rich insights from your complex enterprise documents with AI-powered search
• Ships with embedded Natural Language Processing built-in
• Relevancy Training uses machine-learning Watson techniques to improve the ordering of search results over time
• Document Similarity understands the most important aspects of the document, and finds textually similar documents in the collection

Watson Assistant

• Watson Assistant is a conversation AI platform that helps you provide customers with fast, straightforward and accurate answers to their questions, across any application, device or channel. Let your collugues focus on complex use cases – not repetitive responses – and helps customers resolve issues day or night

Watson OpenScale

• Tracks, measures and explains outcomes from AI across its lifecycle. As an extension to this, it can detect and correct AI model bias and drift

InfoSphere QualityStage

• Enables you to investigate, cleanse and manage your data, helping you maintain consistent views of key entities including customers, vendors, locations and products.
• Leveraging: 
  • Deep data profiling
  • Data quality rules (200+ built-in rules)
  • Data classification (250+ built-in data classes)
  • Data standardisation and record matching

Cognos Analytics

• Using trusted and curated data from existing sources, share personal insights at the scale-of-the-business without time-consuming migration

Datastage Enterprise

• Real-time data integration for access to trusted data across data lakes and multi-cloud and hybrid cloud environments

Master Data Management

• Delivers accurate, near real-time views of master data throughout your organisation. Supports registry or virtual style implementations, which offer quick time-to-value
• New analytical graph-based exploration, agile self-service access, governance and dashboard capabilities

Red Hat Openshift

• Provides a consistent user interface that allows you to deploy applications on multiple infrastructures for a true hybrid cloud experience that scales up and down as demand requires

Financial Services Workbench

• Enables a low-code environment to build data-centric, cloud-native cognitive solutions at scale
• Incorporates Financial Crimes Insight to improve alert triage and investigation efficiencies

Senzing

• Purpose-built AI for Entity Resolution. Provides highly accurate insights about who is who and who is related to whom. Quickly matches and links data about people, organizations and other entities
• Operates in Real Time
• Minimal Data Preparation
• Non-Obvious Relationship Awareness
• Speed and Scalability
• Built-In Privacy by Design (PbD)

Planning Analytics

• Planning Analytics is an integrated planning solution that uses AI to automate planning, budgeting, and forecasting and drive more intelligent workflows