A virtual event for enterprise-level Salesforce architects to talk about ideas, opportunities, and strategies to maximize the value of Salesforce data.
As Salesforce steps forward to handle bigger challenges, the stakes for Salesforce data grow ever higher. Leading Salesforce Architects know this, and they’re changing the way we think about and manage Salesforce data.
This two-day event will bring together leading experts to share their experiences and unique perspectives around today’s Salesforce data architecture and provide attendees with new and exciting ways to think about the future of data management.
AI is buzzing everywhere, everyone is talking about it, are you ready to make the most of it ? Join this panel to understand how AI is impacting the way you think, and design solutions to make the best of this technology wave. The panelists will cover a variety of perspectives that matter to Architects - from data management, to DevOps and security.
No one is more in tune to what’s happening with Salesforce Architects than Salesforce’s own Architect Relations team! They spend every day connecting with and supporting Architects from across the ecosystem and around the world. This session will offer a look at trends, challenges, and insights for the Architect community, with an emphasis on how Architects can set themselves up for success.
The protection of customer data is the foundation of a well-designed, secure Salesforce solution. Join this session to explore the main considerations for security, compliance, and governance along with how to securely store data for privacy, encryption, and the principle of least privilege access.
With the increasing focus of Salesforce on their Industries Clouds (and Public Sector Solutions in particular), a growing number of public sector clients have stepped away from traditional on-premise architectures in favor of Salesforce's SaaS solutions. Join us as we walk you through challenges faced by public sector clients, system integrators, and Salesforce's product team alike in shaping the data roadmaps from governance, implementation, and product perspective respectively.
There are many roadblocks in processing billions of records in Salesforce. Join this session to learn how to mitigate them, ensure efficient data processing, and ensure that your Salesforce Org is ready to process huge volumes of data in less time.
How can Salesforce Architects ensure the resilience of their solutions in the face of real-life imperfections and ever-changing circumstances? Join us as we delve into insights gained from a year of collaboration with our largest customers, focused on enhancing their availability experience on the Salesforce platform. We present a compelling case for Salesforce Architects to not only manage conventional architectural requirements but also prioritize nurturing a culture of Service Ownership to safeguard their legacies.
Learn how data architecture can safeguard business interests by ensuring data confidentiality, integrity, and availability. Join us in this session as we deep dive into the technical aspects of data encryption, tokenization, reversibility, pseudonymization, backup, high availability, residency, and archiving.
Scaling custom applications is a huge priority of IT leaders which brings its own set of unique challenges in every step of the product development lifecycle. Salesforce recently launched Scale Center, the newest product within Scalability Product Portfolio, to empower customers to build, test, and run performant, highly-scalable, and architecturally sound solutions on Salesforce. In this session, learn how Scale Center enables customers, ISVs, and partners to identify issues with performance or scale, launch analyses to troubleshoot errors, and retrieve customized insights and recommendations to improve Org’s scalability.
Generative AI is everywhere but the million dollar question is, is your enterprise ready for LLM implementations? This session will share the top 5 considerations before implementing an AI solution. From this session, participants will gain a clear understanding of what it would take to implement any LLM-based solution for Salesforce.
As a candidate to the coveted Salesforce Certified Technical Architect (CTA), you need to acquire a wide range of technical and soft skills to ace the review board. Going for the CTA requires intense preparation, ownership, discipline and many domains to master. This session will provide perspectives from CTAs amongst the very best in the world, including Master Coach Sebastian Wagner, on topics related to how to ace the review board, how to prepare for it and what's top of mind from a technology perspective.
Don't just build; architect with purpose. This session will guide you through the essentials of a process-driven approach, revealing how it can make your architectural designs more effective, scalable, and secure. We'll touch on crucial considerations for architects, from system integrity to long-term adaptability.
Designing a scalable data architecture is essential to accommodate business growth and increased data volumes, which include strategies such as data partitioning, archiving, and leveraging external data sources. Join this session to gain insights into Salesforce's data and storage limits, and learn best practices to work within those limits effectively. Understand how to optimize data storage, reduce data redundancy, and improve data access times.
Join us for the second edition in the Choose Your Own Architect Adventure series. Carl Brundage, CTA, will share a real-life scenario on Large Data Volume (LDV) challenges when extracting billions (with a b!) of records. In this interactive session, attendees will be asked to provide input on solving each challenge and guide the next set of steps in the solution.
Women and non-binary people pursuing careers in technical architecture face unique challenges that require attention. This panel includes CTAs from all over the world who will explore how democratization of knowledge has changed the landscape for minority groups striving to achieve the CTA credential, and how we can continue to move the needle by challenging societal norms, improving workplace culture, and removing financial obstacles. We'll share our career journeys, and aim to inspire more aspiring architects to embrace the challenge and take their place in our industry.
Becoming a Salesforce Certified Technical Architect is a massive achievement. It's described as the pinnacle for experienced Salesforce Architects. It is a challenging journey that goes beyond just preparing for the exam, and we like to think that this is the beginning of another even more exciting journey. Join this panel to hear the inspiring stories from some of the most seasoned Salesforce Architects who are leaders, entrepreneurs, CEOs, CTOs, and how they drive data innovation in their organization.
The concepts of Machine Learning / Large Language Models (LLM) in the context of Salesforce are more important than ever. That includes an understanding of Transformer Architecture and learning what it is good vs. not-so-good. We will walk through Sales/Service/Marketing use cases leveraging LLMs, and concrete steps you can take today to bring AI in your day-to-day operations. This session will provide an overview of LLMs, guidance with defining a strategy to leverage LLM as part of your Salesforce implementation, and data security and privacy considerations that go along with it.
In today's competitive business landscape, the ability to handle increased workloads and growth is essential. This session outlines the importance of scale testing and provides a step-by-step approach to implementing it effectively. We will conclude with some real life stories and best practices.
Selecting an enterprise level data protection platform often takes months due to Large Data Volumes and complex data models. This session will explore top 10 features to consider when selecting a vendor and implementation strategies.
There are many areas in which AI is expected to advance in the near future in healthcare - namely Data extraction, Cognitive Interaction, Clinical Model and Operational Process model - each evolving at their own pace and impacting many dimensions of a patient's health. In this session we will discuss how Clinical Models help clinicians and caregivers anticipate changes in a patient's health and make personalised decisions for their care, with safety, ethical practices and sustainability at the heart of their decision-making process.
The Salesforce Certified Technical Architect is a massive achievement. It's described as the pinnacle for experienced Salesforce architects. It is a challenging journey that goes beyond just preparing for the exam and we like to think that this is the beginning of another even more exciting journey. Come join this panel to hear the inspiring stories from some of the most seasoned Salesforce architects who are leaders, entrepreneurs, CEOs, CTOs and how they drive data innovation in their organization.
Judge to CTA candidate: "What API would you recommend to extract an LDV Object?" BULK is the answer you want to give to pass your CTA, however is it really the right answer? What about performance for non-LDV objects: have you ever heard about progressive queries? For the first time ever, Jean-Luc Antoine will present a modern API approach mixing technologies to increase data processing for MDV (Medium Data Volumes). And Sovan Bin will share research results after 9 years of LDV (Large Data Volumes) experience of processing more than 10>12 API calls.
Judge to CTA candidate: "What API would you recommend to extract an LDV Object?" BULK is the answer you want to give to pass your CTA, however is it really the right answer? What about performance for non-LDV objects: have you ever heard about progressive queries? For the first time ever, Jean-Luc Antoine will present a modern API approach mixing technologies to increase data processing for MDV (Medium Data Volumes). And Sovan Bin will share research results after 9 years of LDV (Large Data Volumes) experience of processing more than 10>12 API calls.
Judge to CTA candidate: "What API would you recommend to extract an LDV Object?" BULK is the answer you want to give to pass your CTA, however is it really the right answer? What about performance for non-LDV objects: have you ever heard about progressive queries? For the first time ever, Jean-Luc Antoine will present a modern API approach mixing technologies to increase data processing for MDV (Medium Data Volumes). And Sovan Bin will share research results after 9 years of LDV (Large Data Volumes) experience of processing more than 10>12 API calls.
Judge to CTA candidate: "What API would you recommend to extract an LDV Object?" BULK is the answer you want to give to pass your CTA, however is it really the right answer? What about performance for non-LDV objects: have you ever heard about progressive queries? For the first time ever, Jean-Luc Antoine will present a modern API approach mixing technologies to increase data processing for MDV (Medium Data Volumes). And Sovan Bin will share research results after 9 years of LDV (Large Data Volumes) experience of processing more than 10>12 API calls.
Judge to CTA candidate: "What API would you recommend to extract an LDV Object?" BULK is the answer you want to give to pass your CTA, however is it really the right answer? What about performance for non-LDV objects: have you ever heard about progressive queries? For the first time ever, Jean-Luc Antoine will present a modern API approach mixing technologies to increase data processing for MDV (Medium Data Volumes). And Sovan Bin will share research results after 9 years of LDV (Large Data Volumes) experience of processing more than 10>12 API calls.
Judge to CTA candidate: "What API would you recommend to extract an LDV Object?" BULK is the answer you want to give to pass your CTA, however is it really the right answer? What about performance for non-LDV objects: have you ever heard about progressive queries? For the first time ever, Jean-Luc Antoine will present a modern API approach mixing technologies to increase data processing for MDV (Medium Data Volumes). And Sovan Bin will share research results after 9 years of LDV (Large Data Volumes) experience of processing more than 10>12 API calls.