Name: Six pillars of Trusted AI™ and the data that drives it webinar
Start: 2023-10-17T15:07:00Z
End: 2023-10-17T15:07:33.000Z
Location: BrightTALK
Rating: 0

Since 2008, Collibra has been uniting organizations by delivering trusted data for every use, for every user, and across every source. Our Data Intelligence Cloud brings brings a best-in-class catalog, flexible governance, automated lineage, continuous quality & observability, and built-in privacy to all your data, so you not only know what you have, you understand what it means and can be confident you’re using it in the right way. And no matter where your data is stored or who needs it, your team can easily access and always trust it. That’s why businesses of all sizes all around the world rely on Collibra to create the critical alignment that accelerates workflows and delivers better results faster. For more information, visit collibra.com.

AI is proving to be a major catalyst for change in every industry across the globe. The accelerated interest from boardrooms to business users alike is causing new use cases and models to be developed at breakneck speed. However, sometimes we need to slow down in order to really speed up. Taking an initial measured approach to AI and implementing proper AI governance will allow you to not only deploy ethical and compliant AI, but will also help stimulate your AI program for faster use case creation, increased ROI, and a better understanding of where to invest. Join AI governance experts Wouter Mertens and Alexandre t’Kint in this first of a multi-part webinar series as they walk you through the fundamentals of AI governance and show you where to start and pitfalls to avoid.

AI governance 101 - The basics of governing AI

While change is constant, it is also hard. Becoming a data- driven organization requires gaining support across your organization to drive cultural change. In this webinar we will discuss the best practices for becoming a data-driven organization including:

-Gaining support from the top down and bottoms up
-Analyzing key stakeholders
-Driving change that really lasts

Best practices for becoming a data driven organization

Organizations must become more data-driven to support innovation and grow the business. This all starts by extracting intelligence from the data using the power of metadata, and building curated, governed data products thatwhich are easily accessible to any user at any time. In this engaging fireside chat with industry experts from Collibra, Accenture, and Starburst, you will learn about the importance of creating and delivering data products to enable your business users to get the full value out of your data, especially with the evolution of gGenerative AI. We will discuss industry trends, relevant use cases, and outline steps for getting started on the journey.

By attending, you will learn:
- The unique value Collibra + Starburst + Accenture bring to help solve their challenges
- How the many challenges inherent in realizing the value of data are solved by governance in a multi-data platform/hybrid cloud environment
- How to bring trusted data to LOBs in a secure, governed and self-service way
- The paradigm of managing data products with stewards, shopping for data products using Collibra, and having access fulfilled using Starburst

Accelerate great AI data products with AI governance

Your technical users are thriving with your Databricks investment, and your business users are looking to access--and trust--the right data. Databricks customers are maximizing value for their analytics on the Lakehouse platform with AI and business intelligence. Collibra and Databricks are teaming up to unveil the secret of how to connect business and technology users across Databricks and all other enterprise sources to improve collaboration and identify new growth opportunities leveraging data assets.

Collibra and Databricks present together a webinar that will explain how Databricks customers can optimize their data modernization strategies and accelerate access to insights that drive business growth, improve efficiencies, and mitigate compliance risks–by leveraging the integrated solutions between Databricks and Collibra.

By attending this webinar, you’ll learn:
- The value of a unified data governance layer on Databricks and other sources
- How Collibra and Databricks are partnering to streamline collaboration between technical and business users, to maximize value from your data
- How all users in your organization can easily shop for the data assets they need, while maintaining access control and regulatory compliance
- How Collibra enables you to trust your Databricks data with ML-based data quality which processes directly on the Databricks platform for better efficiency and lower cost

Maximize your Databricks investment with Collibra Data Intelligence Cloud

How much is bad data costing you? Is bad data causing users to lose confidence and trust in the data? 

As you progress on your data governance journey, ensuring the quality of the data should also be a top priority. Users need access to data they trust, so they can use that data to drive business decisions. Join us for an interactive session with Bobbi Caggianelli, MSba, Data Engineer Leader, and Director of Sales Engineering for Collibra where you’ll learn:

- How to identify critical data elements 
- What steps are essential to establish business and technical ownership
- The roles and responsibilities needed for researching and remediating anomalies

Collibra is here to help you accelerate your journey. 

Register now to secure your spot! If you’re unable to attend the webinar live, register anyway and we’ll send you the recording.

Getting started: ensuring the quality of your data

We will discuss how Collibra Data Quality & Observability enables you to measure, monitor, and improve the quality of your Snowflake data through a combination of automated and manual controls. You'll learn how Collibra's powerful data profiling capabilities can help you gain a deeper understanding of your data, identify potential issues, and take corrective action before they become major problems. We'll do a live demo to showcase:
-Leveraging SQL pushdown based native integration with Snowflake to ensure the most efficient data processing and auto-scaling
-Uncovering behavioral patterns, outliers and missing values in your Snowflake data
-Assessing the quality of your data in Snowflake without having to export or transfer your data outside of Snowflake

Maximizing your Snowflake investment with Collibra Data Quality & Observability

In today’s economic times, businesses are under increased scrutiny and only the most critical projects will get off the ground. Businesses have to be laser focused on their data spending and ensure proper utilization of technology.

Leveraging the Snowflake Data Cloud as your data platform enables data mobilization with near-unlimited scale, concurrency, and performance, but your operations and development teams may need extra support to streamline migration and create data products.

The combination of Collibra, Snowflake and DatatOps.live can help you achieve success and create value throughout your organization.

In this webinar you will learn:

- How to begin your migration strategy with the right solutions to achieve your desired end result
- How to build your data product strategy for focus and immediate business returns. Stack rank your required data products based on internal ROI to increase efficiency or external monetization to generate revenue.
- Using Collibra to find specific, high quality data and facilitate the migration with focus and speed.
- Using DataOps.live, how do you adopt an agile development philosophy based on #TrueDataOps, that allows you the quickest path to develop, test and deploy data products with Snowpark and the Snowflake Data Cloud.
- Understand the ongoing benefits of integrated platforms with Snowflake and Collibra.

Migration to Deployment of Data Products in Snowflake at the Speed of Business

Without healthy data, every decision is at risk. High-quality data allows you to reach more customers, unlock new partnerships, implement new business models, become more agile, and move faster than competitors. However, most organizations focus their data-quality efforts on cleaning up errors, rather than finding and fixing the root cause of the errors in the first place. As a result, organizations lack an enterprise data quality foundation to respond to regulatory, analytics and AI demands in a scalable way.

Top Five Trends for Data Quality and Observability

A data mesh supports distributed, domain-specific data consumers, with each business domain handling their own data pipelines and data products to fuel self service analytics. It removes the friction for data producers and consumers, hiding complexity, enabling autonomy, and embedding innovation. However, domains cannot truly own their data if they don’t have data observability to have a single pane of glass to continuously view 'known unknowns' as well as 'unknown unknowns’, for example, data quality issues, anomalies, security breaches and privacy violations.

Data Quality and Observability Amidst Data Mesh

Are you early in your data governance journey and wondering where to start with data stewardship? Or have you been doing it a while and are losing momentum with your data stewards?

No matter where you are on your journey, understanding the need for data stewards, gaining buy-in, and then retaining momentum can be a challenge.  Join us for an interactive session with Bobbi Caggianelli, MSba, Data Engineer Leader, and Director of Sales Engineering for Collibra where you’ll learn:

- Why you need data stewardship
- The key traits for successful business and technical stewards
- How to gain buy-in
- Ways to drive continued active participation

Data Stewardship: Best Practices for Getting Started

Every organization knows they need to do data governance, but getting started and getting it right can be hard.  Our speaker successfully deployed a data governance program from scratch with a leading financial services firm and will share her insights on:
-Why data governance is needed
-Key best practices for getting started
-Steps for creating cultural change
Learn the best practices for getting started with data governance and get your questions answered by someone who has done it.

Data Governance: Best Practices for Getting Started

Enterprises are migrating data analytics applications to the cloud to gain the elasticity, efficiency, resilience, and other advantages of cloud-native computing.

In this panel, TDWI senior research director James Kobielus will lead data industry experts in a discussion of best practices for migrating data analytics to the cloud and for managing those assets on an ongoing basis.

Best Practices for Building a Cloud Strategy and Migrating to the Cloud

The data landscape and data needs within an organization are growing rapidly. Data governance teams are responsible for providing oversight of data access across the ecosystem, impacting all business domains that depend on data to make intelligent decisions. The question is where to start and what are the foundational steps required to build a large-scale data governance program that both protects and enables the business. Collibra and Snowflake will talk you through the key challenges and solutions to begin your data access governance journey.

Accelerate Data Access Governance with Snowflake and Collibra

Organizations are quickly realizing that their lack of visibility, understanding, and insight into their data are impeding business agility, efficiency, and time to market. Taking back control and delivering end-to-end visibility starts with your data catalog. Hear from Definity, a leading insurance company, on how they put their organization on the fast track to data intelligence with the power of a data catalog, and enabled their teams to focus more time on finding value from data to drive better business decisions.

Jumpstart Your Data Intelligence Journey With A Data Catalog

Healthcare organizations are making strides in formalizing their Data Governance and Management functions by leveraging major technology initiatives, such as EMR or ERP replacement or migration to the cloud. These efforts are costly yet imperative, and the results significantly outweigh the risks when executed correctly. The projects are an opportunity to instantiate or expand upon organizing people around their data using a catalog such as Collibra’s Data Intelligence Cloud (CDIC), as well as Collibra’s Data Quality and Observability tool. With these technologies there is opportunity to streamline the build, reduce risk during the implementation, and provide a harness for maintainability long-term.

Increase Value and Decrease Risk for Common Data Migration Initiatives

The promise of productivity, innovation and profit has organizations around the globe scrambling to implement AI use cases at breakneck speeds. Generative AI solutions like ChatGPT are continuing to fuel the AI goldrush, but at what cost? Numerous cases of bias and poor outputs have hit headlines, causing brand damage and mistrust from consumers. Organizations need a strategy that combines proper data governance with an AI framework that tackles key dimensions head-on for ethical and positive results.


In this webinar, join Simla Sivanandan Senior Manager, Data Intelligence at Collibra and Preeti Shivpuri, Trustworthy AI™ Leader at Deloitte as they discuss the necessity of using trusted data with a Trustworthy AI™ framework and the benefits customers are seeing.

Six pillars of Trusted AI™ and the data that drives it webinar

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