AMA: Data Fabric

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When:  Feb 24, 2022 from 02:00 PM to 03:00 PM (ET)

Got questions? Join IBM experts and help us take over the discussion forum on Feb 24 at 2pm Eastern/11am Pacific for a whole hour of AMA (Ask Me Anything).  Our topic is Data Fabric, and we've arranged for experts from across IBM to be on hand to answer your questions.

Our experts will hop on the Cloud Pak for Data Community discussion forum at the designated time and start answering your questions. 

For this AMA, we’re focusing on Data Fabric. According to Gartner, Data Fabric represents the data architecture of the future. Data Fabric is a new data architecture that will enable enterprises to unlock the value of data in a hybrid multi-cloud data landscape. Moving to a Data Fabric architecture is a must for enterprises in order to go beyond cloud modernization and transform the way the enterprise will integrate, govern, and consume data for the purposes of analytics, data science, single view of customer, and compliance. 

We’d love to get your questions about topics like:

  • Creating a catalog of data products and re-usable assets to accelerate analytics and data science projects
  • Enabling global data sharing and access while enforcing country-specific data and compliance policies
  • Augmenting the single view of the customer with AI- and ML-driven insight that enables smarter customer interactions
  • Enforcing fairness, quality, and explainability in models 

If you can't be online during the hour, don't worry; you can post your questions in advance and read the responses later.  To post a question in advance or during the event, add a reply to the Questions for AMA: Data Fabric forum post (be sure to reply to the parent post to add your new questions).

Will you be joining us?  Add this event to your calendar, and we'll "see" you in the Cloud Pak for Data Community discussion forum on February 24th at 11:00 am Pacific/ 2:00 pm Eastern! 

This event will take place entirely in the discussion forum, so there is no
meeting to join.

Bios

Oliver Claude

is Director of Product Management for Data Fabric. Oliver has over 20 years of experience in Information Management. Oliver started his career in Management Consulting doing Business Process Re-Engineering. Oliver then spent most of his career in Software companies, ranging from business applications to data-centric. Oliver held leadership roles across various functions, including Lead Architect at Siebel Systems, VP of Product Marketing at Informatica, and VP of Solution Management at SAP.

 

Trent Gray-Donald 

Trent is an IBM Distinguished Engineer in the IBM Data and AI organization. He is an architect focusing on data fabrics, integration, consistency and reuse across divisions. He’s spent the last 10 years focusing on analytics, especially around Big Data (Spark, Hadoop) and building out the IBM data and AI platform. Before that, he was technical lead on the IBM Java 7 project.

Dejan Glozic 

Dejan is an IBM Distinguished Engineer in the IBM Data and AI organization. He is an architect focusing on data fabrics experience, microservice architecture and everything UX. He's spent the last 10 years evolving our understanding on how to run micro front- ends in IBM Data Science Experience, Watson Studio and Cloud Pak for Data. He is sometimes called 'master painter' still actively writes code that runs in Cloud production, and is particularly drawn to anything 'as a Service'.

David Lebutsch

David is an IBM Distinguished Engineer in the IBM Data and AI organization. He is an architect focusing on delivering the Data and AI portfolio as a Service, on the IBM Cloud and increasingly other Cloud Service Providers.  He's spent the last 10 years focusing on SaaS DevOps.  His personal motto is:  you build it, you run it.


Martin Oberhofer

Martin is an IBM Distinguished Engineer in the Data & AI organization where he recently picked up the role of development director for Watson Knowledge Catalog and Match 360 product families. He has 20 years of experience in Data & AI and focused in the last 15 on data governance, data integration and master data management which are all key components of our current Data Fabric strategy. He is also interested in graph and ontology technologies supporting the knowledge graph layer for Data Fabric.

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