Name: Mastering Synthetic Data Generation: Methods, Pitfalls and Best Practices
Start: 2023-11-16T15:00:00Z
End: 2023-11-16T15:00:59.000Z
Location: BrightTALK
Rating: 4.3

At K2View, we believe that every company should be able to liberate and elevate its data to deliver the most personalized and profitable customer experience in its industry, while being innovative and radically agile. 

With K2View, companies manage data in a whole new way, using a business lens: they create data products that continually sync, transform, and serve data from siloed source systems – delivering a real-time, holistic view of any business entity to any data consumer.

Our Data Product Platform fuels operational and analytical workloads, at enterprise scale. It deploys as a data fabric, data mesh, or data hub - in an on-premises, cloud, or a hybrid architecture - in a matter of weeks, and adapts to change on the fly.

The most data-intensive companies in the world, including AT&T, Verizon, American Express, Vodafone, and Hertz trust K2View Data Product Platform for their operational use cases - spanning Customer 360, cloud migration, test data management, data tokenization, and legacy application modernization.

Join us for a deep dive into the world of synthetic data generation: uncovering its powerful techniques, versatile use cases, and the myriad of benefits it brings to businesses. Synthetic data generation has emerged as a game-changing solution for organizations seeking to maximize the potential of their data without compromising privacy or security. 

During the webinar, we'll cover: 

* Gartner’s research on synthetic data generation applications 
* Techniques and approaches: Pros and cons of each 
* Use cases per industry 
* Best practices and what to watch out for 

Don't miss this opportunity to explore the potential of tabular synthetic data for your organization.

Visit our LinkedIn page and follow us at https://il.linkedin.com/company/k2view

Unlocking the Power of Synthetic Data Generation: Methods, Use Cases & Insights

About this talk:

Protecting sensitive data is a top priority for the enterprise, and tokenization has proven to be one of the best data protection methods.

Join this webinar to learn about a revolutionary, data product approach to data tokenization.

We’ll cover data tokenization concepts and methods, the business requirements of a data tokenization solution, and the limitations of traditional data tokenization tools.

We’ll introduce a transformational approach to data tokenization that leverages data products to enable high-scale, real-time protection of sensitive data for operational and analytical systems.

Agenda:
* Data tokenization, its role in data security, and benefits
* The limitations and pitfalls of data tokenization
* Data products and how they revolutionize data security
* Live demo: Using a data product platform for data tokenization

Reduce risk of data breaches with a data product approach to data tokenization

About this session:

Join us to learn about the transformative power of Test Data Management (TDM) in driving cost savings, enhancing productivity, and accelerating software delivery for your organization. 

We’ll share a proven methodology for quantifying the business benefits of TDM, and an ROI model to use in building your financial justification for a TDM tool.

We’ll delve into the concrete benefits of DevOps TDM and provide practical approaches to achieve these outcomes. Real-world case studies and best practices will be shared to illustrate the tangible impact of TDM on eliminating test data bottlenecks and accelerating the testing and release cycles. 

Agenda:

* Top 8 challenges for software teams to overcome in provisioning compliant test data 

* Quantifying the benefits of a DevOps TDM solution

* Calculating ROI and payback period for Test Data Management tools

* TDM case studies and success stories

* Q&A

Quantifying the Benefits & Calculating the ROI of  DevOps Test Data Management

Despite the adoption of Lean-Agile thinking, modern engineering, and DevOps practices - test data management has lagged, leading to bottlenecks in productivity and reduced test coverage.

Are you struggling to manage your test data efficiently and effectively? Are you looking for new ways to improve your software testing processes while ensuring data privacy compliance?
 
If so, you won't want to miss our upcoming live webinar:
Test Data Management: Leading Approaches, Best Practices, and Strategies.
 
What you’ll learn:
• Gartner on Test Data Management: trends, hype cycle, best practices, strategies, and more
• Synthetic data generation: why, when, and how
• Recent developments in data privacy regulation and compliance
• A comparison of the three approaches to test data management

Test Data Management: Leading Approaches, Best Practices, and Strategies

About this talk:

Customer data is typically siloed in dozens of applications and data islands, in many different formats and technologies.

Many enterprises have invested heavily in various internal and commercial solutions with the aim of delivering a real-time, single view of the customer in order to improve customer experience and support innovative business initiatives. Most of them have failed.

Join this webinar to learn how Vodafone Germany has successfully implemented a Customer Data Hub (CDH), which unifies customer interactions, transactions, and master data, across dozens of data sources, to serve both operational and analytical workloads.

Agenda:

* The Customer 360 challenge

* K2View data product platform

* Key steps and lessons learnt in building a real-time Customer Data Hub

Vodafone Germany Customer Data Hub case study

About this talk:
* Join this webinar to learn about an emerging approach to data management, founded on data products.
* We will explain the “data as a product” concept, and how taking a product lifecycle approach to data can systematically deliver high-quality data to data consumers across the enterprise.
* We will showcase common data product use cases and their architectures, and how the K2View Data Product Platform delivers and manages data products, at massive scale.
* Agenda:
• What is a Data Product?
• ‘Data as a Product’ and the data delivery lifecycle
• Deployment architectures: data fabric and data mesh
• A new role: Data Product Manager
• Data Product Platform demo

Take a "Data as a Product" approach to democratize data access in the enterprise

About this talk:

Customer data is typically siloed in dozens of applications and data islands, structured and unstructured in many different formats and technologies. This explains why large enterprises face a monumental challenge in accessing unified and trusted customer data in real time.

Join this webinar to learn how Cellcom, a leading telco, took a data product approach to implement a real-time Customer Data Hub (CDH), with bi-directional integration to Salesforce CRM, in just 3 months. 

See how the Cellcom CDH delivers a real-time, complete view of the customer, including product, service, and financial information - to enable personalized and profitable customer interactions across customer touch points

Agenda:

* The Data Product approach to Customer 360  
* Cellcom business drivers and Customer 360 challenges
* Key steps and lessons learnt in building a real-time Customer Data Hub 
* Review of 10 business use cases that leverage the Customer Data Hub

Case Study: Delivering Real-Time Customer 360 in 3-Months with Data Products

About this talk:

Despite the massive investments companies have made in their Customer 360 programs, delivering a real-time, trusted, and complete view of the customer remains an illusive goal.

Conventional approaches (like CRM, MDM, CDP, and Data Virtualization) have failed to deliver on the promise. In fact, a recent Gartner survey shows that only 14% of companies have realized the full promise of Customer 360, but more than 70% are still working to get there.

We’ll introduce a transformational approach to complete your current Customer 360 initiative in weeks, using a data product approach, and while leveraging your existing investments.

Agenda:

* Challenges associated with achieving customer 360

* Why conventional approaches fall short?

* The Data Product approach to Customer 360

* Live product demo

Take a data product approach  to (finally) achieve Customer 360

Data masking is critical for data-driven businesses that must comply with a growing number of data protection laws, and safeguard against ever-increasing cyber threats. 

Yet, the growing velocity, variety, veracity, and volumes of data makes data masking a complex operational obstacle that is slowing down businesses.

Join us in this webinar to learn how to implement a comprehensive, automated, enterprise-grade data masking program that addresses the complex challenges most enterprises face. We'll cover:

* The core components of a data masking framework
* Static, dynamic, and unstructured data masking
* Common implementation challenges
* A novel approach to data masking, based on business entities
* How to mask unstructured data (checks, documents, chat scripts, and more), including a demo

How to Use Data Masking to Protect Sensitive Data in Your DevOps Pipelines

Agenda:

* Top test data management trends in 2022 
* Common gaps in existing TDM tools that are impacting cost and agility 
* The Agile TDM Methodology
* A case study of how AT&T improved speed to market by 80% and reduced costs by 50% using Agile TDM 
* Hands-on demonstration of the K2View TDM solution

Rethink Test Data Management in tough economic times

About this talk:
For this international giant, complying with global and local data regulations – while federating data ownership –  is a big daunting challenge. 
They have decided to deploy a Data Mesh architecture for managing customer and employee data.
Join this webinar to discover how the K2View Data Product Platform is used in real-life to unify globally dispersed data, while federating data ownership and fulfilling data residency and data privacy requirements.

Agenda:

* The business drivers and considerations behind selecting a Data Mesh architecture
* Data Mesh case study – company's requirements, data architecture, and benefits
* Defining roles and responsibilities for making sensitive, operational data easily and safely accessible in a decentralized organization
* Live demo: Creating and delivering data products in a Data Mesh

Federated data management  via Data Mesh  at a Big 4 accounting firm

Enterprises have traditionally integrated their data, applications, and business processes via a combination of custom programming, middleware, and/or enterprise application integration (EAI) implementations.

iPaaS, or “integration Platform as a Service”, standardizes how applications and data are integrated in an organization, making it easier to automate business processes, and share data across applications.

Join this webinar to learn why data fabric has emerged as the leading cloud data integration architecture for the enterprise, and the common challenges it resolves.

Agenda:
• Data integration use cases and challenges
• Data fabric as an emerging data integration architecture
• Key capabilities and benefits of a data product approach to data integration
• Cloud data integration using the K2View Data Product Platform

Data Fabric as a Service – The modern approach to cloud data integration

Data and analytics teams are struggling to keep up with increasing demands to accelerate digital business, migrate data and applications to the cloud, and democratize data access across the enterprise.​
​
Fortunately, recent innovations in data management are enabling enterprises to deliver trusted data – for operational and analytical workloads – in real time, and at scale.​

​Join this webinar to learn how Data Fabric, Data Hub, and Data Mesh are transforming data management. We will cover the emerging data architectures, their benefits, capabilities, differences, and use cases – and why Gartner recently singled out Data Fabric as the #1 strategic technology trend for 2022.​

Data Fabric, Data Hub, Data Mesh...and Everything in Between​

Traditional test data management (TDM) practices are slow, rigid, and no longer adequate for their DevOps processes. 
Agile enterprises increasingly find their existing methods and tools for test data provisioning to be barriers for rapid and high-quality software delivery. 

Join this webinar to learn how best-in-class enterprises are leveraging a new approach to democratize, automate, and protect test data, while integrating test data delivery into their CI/CD pipelines. 

We will cover the critical components of a modern TDM strategy, while referencing the methods and tools used by AT&T to scale their TDM practice, including:
- Automating test data provisioning to dynamic testing environments 
- Masking unstructured data, including voice, images, and documents to be compliant with data privacy regulations
- Rolling back and restoring test data on demand, to enable multiple testing cycles 
- Empowering distributed testing teams with self-service data provisioning
- Integrating test data management processes into existing CI/CD pipelines

Top Trends Driving Test Data Management: Democratize, Automate, and Protect

About this session:

We're excited to invite you to attend the 2nd in our synthetic data webinar series.

We'll delve into synthetic data generation methods, focusing on the 4 leading data generation techniques, including generative AI and rule-based data generation. 

Don't miss this opportunity to expand your knowledge of synthetic data generation, learn when to use each method and learn about the life cycle of synthetic data.


Agenda:
* The synthetic data lifecycle, and synthetic data management
* Synthetic data generation techniques, and pros and cons of each
* Product demo covering generative AI, rule-based, and data masking techniques
* Q&A

Mastering Synthetic Data Generation: Methods, Pitfalls and Best Practices

Test Data Management

Machine Learning

Data Analytics

Compliance

Data Privacy

Software Testing

ML Models

AI Models

synthetics

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Mastering Synthetic Data Generation: Methods, Pitfalls and Best Practices

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