If you’re a trailblazer working with an organisation tired of the guesswork?
Join this technical walkthrough to make your Salesforce users more predictive and proactive using Einstein Prediction Builder.
You’ll learn what’s under the hood so that you can create custom AI models on any Salesforce object to predict business outcomes, and can create your own predictions for your customer’s business to power a workflow and make users more efficient and smarter, all using just point and click.
Sample Gallery: Reference Code and Best Practices for Salesforce DevelopersSalesforce Developers
Exploring the code within sample applications is a great way to learn new languages, frameworks, and platforms. That’s why we built the Sample Gallery (https://trailhead.salesforce.com/sample-gallery), a collection of Salesforce Customer 360 Platform reference applications that demonstrate examples of what you can create and how to build it. In this interactive webinar, we introduce you to a few Sample Apps and show you how to make the best use of them in your day-to-day development projects.
Sample Gallery: Reference Code and Best Practices for Salesforce DevelopersSalesforce Developers
Exploring the code within sample applications is a great way to learn new languages, frameworks, and platforms. That’s why we built the Sample Gallery (https://trailhead.salesforce.com/sample-gallery), a collection of Salesforce Customer 360 Platform reference applications that demonstrate examples of what you can create and how to build it. In this interactive webinar, we introduce you to a few Sample Apps and show you how to make the best use of them in your day-to-day development projects.
Comme à chaque Release, nous organiserons une session de présentation des nouvelles features.
Pour cette nouvelle release, nous vous proposons un événement spécial de la rentrée durant lequel l'ensemble des groupes France se connecteront pour vous.
A l'occasion de la sortie de la Winter'22, les Community Groups de France se réuniront pour vous présenter les features à ne pas manquer.
Ce sera l'occasion de faire connaissance avec les différents groupes, et d'avoir un max d'informations sur les évolutions.
La session sera d'ailleurs un peu plus longue (1h30) parce que de nombreux sujets seront couverts.
Merci à tous les Group Leaders pour leur participation :
Bordeaux User Group (Martin Lezer) : https://trailblazercommunitygroups.com/salesforce-user-group-bordeaux-france/
French Riviera User Group (Hugo Rosario) : https://trailblazercommunitygroups.com/salesforce-user-group-french-riviera-france/
Lyon Admin Group (Bertrand Rousset, Frédérique Mounier) : https://trailblazercommunitygroups.com/salesforce-admin-group-lyon-france/
Nantes Admin Group (Julie Boncour, Yohann Chevreux) : https://trailblazercommunitygroups.com/salesforce-admin-group-nantes-france/
Paris Admin Group : (Jean-Michel Mougeolle,Yohann Lecornet) https://trailblazercommunitygroups.com/salesforce-admin-group-paris-france/
Paris Developer Group (Fabien Taillon, Mohamed El Moussaoui) : https://trailblazercommunitygroups.com/salesforce-developer-group-paris-france/
Paris Women in Tech (Doria Hamelryk, Yosra Saidani, Marine Fabro) : https://trailblazercommunitygroups.com/salesforce-women-in-tech-group-paris-france/
Toulouse User Group (Thierry Trouin) : https://trailblazercommunitygroups.com/salesforce-user-group-toulouse-france/
Winter 21 Developer Highlights for SalesforcePeter Chittum
Overview of a few of the developer features now in Salesforce in the Winter 21 release. Presented for the Sweden all Community Groups meetup on 26 November 2020, and the CRM Stage virtual event.
Admin Best Practices: Introducing Einstein Recommendation BuilderSalesforce Admins
You’re invited to learn about a new AI capability in the Salesforce Platform, Einstein Recommendation Builder. You might be familiar with recommendations while you are shopping on your favorite online retailer. Einstein Recommendation Builder brings a similar recommendation engine capability into the Salesforce Platform that can be leveraged for CRM applications. Join us to hear use cases, see a live demo, and learn how you can start building your own personalized, AI-powered recommendations.
Watch the Trailhead LIVE Episode here: https://trailhead.salesforce.com/live/broadcasts/a2r3k000001Lc9i/admin-best-practices-introducing-einstein-recommendation-builder
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Let's learn Tableau from a Salesforce MVP..
Mark’s passion is enabling a data-driven transformation with intelligent, actionable insights. He is a recipient of the coveted Gold Hoodie (2017) award, and is a published author, thought leader, and global Salesforce event speaker.
Mark loves building smart business analytics that really works, combining business acumen with technical skill to create intelligent and informed insights. With a background in mathematics and engineering, Mark is passionate about solving problems using technology and data. He founded and led a Salesforce partner business, ClearR, for four years, delivering outstanding analytics solutions for Salesforce customers.
Salesforce Wellington user group hosted by PwC for lunch, June 29, 2022, featuring Salesforce Summer 22 release highlights with various speakers. Natalie Savell, Bill Wu, Mark Barcham, Afzal Khan
Dreamforce '23 - Master the Art of Becoming a Salesforce Security NinjaAlesia Dvorkina
Discover expert strategies, best practices, and tools to safeguard your Salesforce org. Elevate your security expertise and become a true guardian of your Salesforce galaxy.
During this session we'll have Alex Dumitrache from Salesforce joining us for a presentation on the major updates from TrailheaDX.
In the second part of the meeting we'll be discussing about how we can avoid disasters by putting on our consultant hats and pushing back on requirements that go against Salesforce best practices.
10 Differences between Sales Cloud and CPQ, Blanka DoktorováCzechDreamin
How to differentiate Sales Cloud and CPQ on first glance might be tricky if you do not know where to look and what to look at. You will know :-)
Managing the sales process within Salesforce is a common use case that can be managed with standart Sales Cloud. If you want to do entire quoting process you will find out Salesforce CPQ solution exists. What is then the difference if both can handle selling products?
You will see comparison of 10 different features, which Sales Cloud and Salesforce CPQ handle differently.
Simple question you will always remember if you should consider using Salesforce CPQ will be a cherry on top.
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...CzechDreamin
Already know how to write a basic SOQL query? Great! But what about an *aggregate* SOQL query? You know, the kind that uses aggregate functions like COUNT & MAX along with GROUP BY and HAVING clauses? No? Well, get ready to learn how to slice & dice your org’s data right inside your own dev console. From finding duplicate records to prototyping summary & matrix reports, learn the ins and outs of aggregate queries during this fast-paced but admin-friendly session on advanced SOQL concepts.
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Comme à chaque Release, nous organiserons une session de présentation des nouvelles features.
Pour cette nouvelle release, nous vous proposons un événement spécial de la rentrée durant lequel l'ensemble des groupes France se connecteront pour vous.
A l'occasion de la sortie de la Winter'22, les Community Groups de France se réuniront pour vous présenter les features à ne pas manquer.
Ce sera l'occasion de faire connaissance avec les différents groupes, et d'avoir un max d'informations sur les évolutions.
La session sera d'ailleurs un peu plus longue (1h30) parce que de nombreux sujets seront couverts.
Merci à tous les Group Leaders pour leur participation :
Bordeaux User Group (Martin Lezer) : https://trailblazercommunitygroups.com/salesforce-user-group-bordeaux-france/
French Riviera User Group (Hugo Rosario) : https://trailblazercommunitygroups.com/salesforce-user-group-french-riviera-france/
Lyon Admin Group (Bertrand Rousset, Frédérique Mounier) : https://trailblazercommunitygroups.com/salesforce-admin-group-lyon-france/
Nantes Admin Group (Julie Boncour, Yohann Chevreux) : https://trailblazercommunitygroups.com/salesforce-admin-group-nantes-france/
Paris Admin Group : (Jean-Michel Mougeolle,Yohann Lecornet) https://trailblazercommunitygroups.com/salesforce-admin-group-paris-france/
Paris Developer Group (Fabien Taillon, Mohamed El Moussaoui) : https://trailblazercommunitygroups.com/salesforce-developer-group-paris-france/
Paris Women in Tech (Doria Hamelryk, Yosra Saidani, Marine Fabro) : https://trailblazercommunitygroups.com/salesforce-women-in-tech-group-paris-france/
Toulouse User Group (Thierry Trouin) : https://trailblazercommunitygroups.com/salesforce-user-group-toulouse-france/
Winter 21 Developer Highlights for SalesforcePeter Chittum
Overview of a few of the developer features now in Salesforce in the Winter 21 release. Presented for the Sweden all Community Groups meetup on 26 November 2020, and the CRM Stage virtual event.
Admin Best Practices: Introducing Einstein Recommendation BuilderSalesforce Admins
You’re invited to learn about a new AI capability in the Salesforce Platform, Einstein Recommendation Builder. You might be familiar with recommendations while you are shopping on your favorite online retailer. Einstein Recommendation Builder brings a similar recommendation engine capability into the Salesforce Platform that can be leveraged for CRM applications. Join us to hear use cases, see a live demo, and learn how you can start building your own personalized, AI-powered recommendations.
Watch the Trailhead LIVE Episode here: https://trailhead.salesforce.com/live/broadcasts/a2r3k000001Lc9i/admin-best-practices-introducing-einstein-recommendation-builder
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Let's learn Tableau from a Salesforce MVP..
Mark’s passion is enabling a data-driven transformation with intelligent, actionable insights. He is a recipient of the coveted Gold Hoodie (2017) award, and is a published author, thought leader, and global Salesforce event speaker.
Mark loves building smart business analytics that really works, combining business acumen with technical skill to create intelligent and informed insights. With a background in mathematics and engineering, Mark is passionate about solving problems using technology and data. He founded and led a Salesforce partner business, ClearR, for four years, delivering outstanding analytics solutions for Salesforce customers.
Salesforce Wellington user group hosted by PwC for lunch, June 29, 2022, featuring Salesforce Summer 22 release highlights with various speakers. Natalie Savell, Bill Wu, Mark Barcham, Afzal Khan
Dreamforce '23 - Master the Art of Becoming a Salesforce Security NinjaAlesia Dvorkina
Discover expert strategies, best practices, and tools to safeguard your Salesforce org. Elevate your security expertise and become a true guardian of your Salesforce galaxy.
During this session we'll have Alex Dumitrache from Salesforce joining us for a presentation on the major updates from TrailheaDX.
In the second part of the meeting we'll be discussing about how we can avoid disasters by putting on our consultant hats and pushing back on requirements that go against Salesforce best practices.
10 Differences between Sales Cloud and CPQ, Blanka DoktorováCzechDreamin
How to differentiate Sales Cloud and CPQ on first glance might be tricky if you do not know where to look and what to look at. You will know :-)
Managing the sales process within Salesforce is a common use case that can be managed with standart Sales Cloud. If you want to do entire quoting process you will find out Salesforce CPQ solution exists. What is then the difference if both can handle selling products?
You will see comparison of 10 different features, which Sales Cloud and Salesforce CPQ handle differently.
Simple question you will always remember if you should consider using Salesforce CPQ will be a cherry on top.
SOQL 201 for Admins & Developers: Slice & Dice Your Org’s Data With Aggregate...CzechDreamin
Already know how to write a basic SOQL query? Great! But what about an *aggregate* SOQL query? You know, the kind that uses aggregate functions like COUNT & MAX along with GROUP BY and HAVING clauses? No? Well, get ready to learn how to slice & dice your org’s data right inside your own dev console. From finding duplicate records to prototyping summary & matrix reports, learn the ins and outs of aggregate queries during this fast-paced but admin-friendly session on advanced SOQL concepts.
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...CzechDreamin
Unlock the mysteries of successful Salesforce interviews in this insightful session hosted by Hugo Rosario (Salesforce Customer), a seasoned hiring manager that leads the Salesforce Department of multinational company with over 100 interviews under their belt. Step into the manager's chair and gain exclusive behind-the-scenes insights into what makes a Salesforce consultant stand out during the interview process.
From deciphering the unspoken cues to mastering key strategies, we'll explore the intricacies of the interview process and provide practical tips for consultants looking to not only pass interviews but also thrive in their roles. Whether you're a seasoned professional or just starting your Salesforce journey, this session is your backstage pass to the secrets that hiring managers wish you knew.
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomCzechDreamin
Explore the core of Salesforce success in 'Salesforce Adoption – Metrics, Methods, and Motivation.'
We will discuss essential metrics, effective methods to drive adoption, and the driving force behind user engagement and explore strategies for onboarding, training, and continuous support that empower users to navigate the platform seamlessly.
By leveraging these tools, you can effectively measure adoption against your company’s goals and create an environment where users not only adopt Salesforce but actively contribute to its ongoing success.
Powerful Start- the Key to Project Success, Barbara LaskowskaCzechDreamin
New customer? New industry? New cloud? New team? A lot to handle!
How to ensure the success of the project? Start it well! I've created the 3 areas of focus at the beginning of the project that helped me in multiple roles (BA, PO, and Consultant). Learn from real-world experiences and discover how these insights can empower you to deliver unparalleled value to your customers right from the project's start.
Free and Effective: Making Flows Publicly Accessible, Yumi IbrahimzadeCzechDreamin
Screen flow is a powerful automation tool that is commonly designed for internal and external users. However, what about the guest users? We will dive into various methods of launching screen flows and understand how to make them publicly accessible, extending their usability to a broader audience.
The presentation will also cover the implementation of security layers and highlight best practices for a smooth and protected user experience. Discover the potential of screen flows beyond conventional use and learn how to leverage them effectively.
AI revolution and Salesforce, Jiří KarpíšekCzechDreamin
We're living the AI revolution and Salesforce is adapting and bring new value to their customers. Einstein products are evolving rapidly and navigating their limitations, language support, and use cases can be challenging.
Let's make review of what Einstein product are available currently, what are the capabilities and what can be used for in CEE region and how Rossie.ai can help to learn Salesforce speak Czech. We will explore the Einstein roadmap and I will make a short live demo (based on your vote) of some Einstein feature.
Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya HalderCzechDreamin
The standard Salesforce Approval process can be limiting in many ways, especially in complex scenarios.
What if there was a way to implement very flexible approvals where one can use Apex code to make data updates in unrelated records, dynamically generate next steps details, and compute assignees on the fly? And still use UI-based configurations to implement concrete approval processes.
In this session, we will share ideas behind such a solution and show a few lines of code to get you started.
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...CzechDreamin
This talk focuses on the practical aspects of integrating various telephony systems with Salesforce, drawing on examples from implementations in the Czech scene. It aims to inform attendees about the spectrum of telephony solutions available, from small to large scale, and their compatibility with Salesforce.
The presentation will highlight key considerations for selecting a telephony provider that integrates smoothly with Salesforce, including important questions to support the decision-making process. It will also discuss methods for integrating existing telephony systems with Salesforce, aimed at companies contemplating or in the process of adopting this CRM platform.
The discussion is designed to provide a straightforward overview of the steps and considerations involved in telephony and Salesforce integration, with an emphasis on functionality, compatibility, and the practical experiences of Czech companies.
Salesforce Forecasting: Evolution, Implementation and Best Practices, Christi...CzechDreamin
Salesforce Forecasting is evolving for tomorrow, evolving for the future, and evolving for the next generation of sales leadership.
This often underutilized feature has undergone a transformation over the past few releases to reveal a slick, modern interface and a host of new functionality, propelling forecasting into the spotlight.
Join this session to discover the latest enhancements, considerations and implementation best practices.
Supercharge Salesforce Marketing Cloud: The Ultimate Apps Guide, Cyril Louis ...CzechDreamin
It’s official: Salesforce Marketing Cloud is the #1 Marketing Platform!*
But being #1 is not being perfect…
And you are right by asking how you could increase the capabilities of Marketing Cloud?!
So let’s kick this out and see how to easily extend the power of Salesforce Marketing Cloud 🙂
In this session, you will discover a selection of solutions
AppExchange apps or external solutions
that integrate with Marketing Cloud to leverage the power of your platform.
* based on research publications from IDC, Gartner and Forrester
How we should include Devops Center to get happy developers?, David Fernandez...CzechDreamin
Including DevOps center in Salesforce development process can benefit both admins and developers by streamlining workflows, fostering collaboration, improving quality, and providing better visibility into the development process.
The whole DevOps process includes automated testing and deployment, which can reduce the time it takes to release new features and functionality, while also improving the quality of the final product.
By fostering a culture of collaboration and communication, DevOps can break down silos and encourage admins and developers to work more effectively together.
Automation and standardisation can also help to streamline workflows and reduce the amount of time spent on technical tasks, allowing admins and developers to focus on more important work.
By working more efficiently and effectively, admins and developers can deliver better results in less time, while also improving the overall quality and reliability of their work.
Streamline Your Integration with Salesforce’s Composite API: A Consultant’s G...CzechDreamin
As Salesforce experts, you know that effective integration is critical to your clients’ success. That’s why we’re excited to invite you to our session on Salesforce’s Composite API, a powerful tool that can help you streamline your integration processes and create value for your clients.
In this session, you’ll learn how to master the Composite API and simplify data processing. You’ll see how the Composite API can be used to handle complex data structures and manage multiple requests in a single API call.
But that’s not all – you’ll also learn how to create comprehensive documentation for Salesforce developers. With already prepared Composite API requests, you’ll be able to streamline your integration processes even further, leaving your mark on any project you work on and bringing even more value as a consultant.
By attending this session, you’ll gain the knowledge and tools needed to become a Salesforce integration expert as a consultant and create value for your clients.
We look forward to sharing our expertise on the Composite API with you and answering any questions you may have.
Architecting for Analytics, Aaron CrearCzechDreamin
Data drives decisions.
Having reliable, clean data is a goal of most organizations. However, far too often the method for retrieving, presenting and consuming this data is an afterthought for many implementations.
This session will help you understand the architectural process required to provide your stakeholders with actionable analytics that can drive the business forward.
We will examine data models and sources, reporting tools and processes, resources, access policies and delivery methods.
Prepare yourself and your organization for the full analytics lifecycle. We will use a custom commission reporting solution as a live demo.
Filip has the following on his LinkedIn profile – Analytics, AI, mental models and paradigm shifts.
Expect something mind blowing which will change your perception of the world for upcoming years.
Push Upgrades, The last mile of Salesforce DevOps, Manuel MoyaCzechDreamin
Did you know that the traditional Salesforce DevOps cycle is missing one step?
In this session, we will cover the reason why Push Upgrades are a key factor to consider for most ISV vendors, how to make it part of the Application Lifecycle Management, and what are the best way to make use of the technology, from using the standard to the advantages of creating of a custom solution on top of it.
How do you know you’re solving the right problem? Design Thinking for Salesfo...CzechDreamin
Have you ever executed a pristine Flow or pulled together a beautiful Dashboard, only to realise that it’s not actually what users needed and isn’t solving their problems?
As Salesforce admins, developers, architects and more – we are a community of expert problem solvers. But, how do we make sure we’re solving the right problem in the first place?
This interactive workshop session will coach attendees through a tried and tested Design Thinking technique called “How Might We..?”, which helps Salesforce Trailblazers in all roles to channel their amazing skillsets towards the most important problems to solve – ultimately making their Salesforce builds all the more impactful.
ChatGPT … How Does it Flow?, Mark JonesCzechDreamin
Can an AI tool build a Flow matching best practice standards?
If this sentence intrigues you, then this session will be worth checking out.
In it we will ask OpenAI’s ChatGPT tool to put together instructions for building a Flow based on a use case.
We’ll check out the results together and see how it compares to current Flow best practices. You might find the results a little surprising.
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What are the Benefits and costs of real-time communication built with Marketing Cloud Account Engagement (ex Pardot)?
Is Account Engagement the tool of choice when it comes to real-time communication and interaction with your clients?
In this session, we will take a closer look at 1:1 personalized communication to build with the help of APEX, flows, and of course Account Engagement.
The session will cover a description of the solution, specific use cases, learnings from such implementations, and well as the obstacles and limitations you can face once using it from the point of marketing and development.
Do not worry we are not talking about a solution that requires lots of months to build and a big team effort.
The session is designed for both marketers and developers whereas the solution needs a deep understanding of both worlds. We will speak about marketing and demonstrate the code as well.
Black Hat Session: Exploring and Exploiting Aura based Experiences, Christian...CzechDreamin
An Aura based Experience Cloud, if misconfigured, can be used to mass download all data that the Public Guest Site User can access.
If you know how to ask, the Experience Site will also tell you which Apex methods are available and what their properties are – even if the Apex method is not actually used on the site.
You can execute the Apex method, too, and get all its response data.
Put on your black hat for this session and learn how a few lines of code are enough to scan any Aura Experiences Site for weaknesses, extract all the data, and call Apex.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
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NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
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Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
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Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
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Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload.
Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
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In fact, according to a report by Statista, the number of React Native developers has been steadily increasing over the years, reaching an estimated 1.9 million by the end of 2024. This means that the demand for this framework in the job market has been growing making it a valuable skill.
But what makes React Native so popular for mobile application development? It offers excellent cross-platform capabilities among other benefits. This way, with React Native, developers can write code once and run it on both iOS and Android devices thus saving time and resources leading to shorter development cycles hence faster time-to-market for your app.
Let’s take the example of a startup, which wanted to release their app on both iOS and Android at once. Through the use of React Native they managed to create an app and bring it into the market within a very short period. This helped them gain an advantage over their competitors because they had access to a large user base who were able to generate revenue quickly for them.
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Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
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Globus Connect Server Deep Dive - GlobusWorld 2024Globus
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Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Accelerate Enterprise Software Engineering with Platformless
Build your own custom predictions using Einstein Prediction Builder, Pratyush Kumar
1. Build Your Own Custom Predictions
Using Einstein Prediction Builder
by Pratyush Kumar
2. #CD22
Salesforce Data Architect @PMI
● Certified System and Application Architect, 14x certified
● 10+ years within Salesforce eco-space
● Based out of London
● Aspiring ultra-marathon runner
● Huge cricket fan and sports enthusiast
Twitter: @Im_Pratyush
LinkedIn: https://www.linkedin.com/in/pratyush-kumar-salesforce/
Trailblazer: https://trailblazer.me/id/salesforcepratyush
Who am I?
3. #CD22
Forward Looking Statement
Statement under the Private Securities Litigation Reform Act of 1995
This presentation may contain forward-looking statements about the company's financial and operating results, which may include expected GAAP and non-GAAP financial and other operating and non-operating results, including revenue, net income, diluted earnings per
share, operating cash flow growth, operating margin improvement, expected revenue growth, expected current remaining performance obligation growth, expected tax rates, stock-based compensation expenses, amortization of purchased intangibles, shares outstanding,
market growth, environmental, social and governance goals and expected capital allocation, including mergers and acquisitions, capital expenditures and other investments. The achievement or success of the matters covered by such forward-looking statements involves
risks, uncertainties and assumptions. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, the company’s results could differ materially from the results expressed or implied by the forward-looking statements it makes.
The risks and uncertainties referred to above include -- but are not limited to -- risks associated with the effect of general economic and market conditions; the impact of geopolitical events, natural disasters and actual or threatened public health emergencies, such as the
ongoing Coronavirus pandemic; the impact of foreign currency exchange rate and interest rate fluctuations on our results; our business strategy and our plan to build our business, including our strategy to be the leading provider of enterprise cloud computing applications and
platforms; the pace of change and innovation in enterprise cloud computing services; the seasonal nature of our sales cycles; the competitive nature of the market in which we participate; our international expansion strategy; the demands on our personnel and infrastructure
resulting from significant growth in our customer base and operations, including as a result of acquisitions; our service performance and security, including the resources and costs required to avoid unanticipated downtime and prevent, detect and remediate potential security
breaches; the expenses associated with our data centers and third-party infrastructure providers; additional data center capacity; real estate and office facilities space; our operating results and cash flows; new services and product features, including any efforts to expand our
services beyond the CRM market; our strategy of acquiring or making investments in complementary businesses, joint ventures, services, technologies and intellectual property rights; the performance and fair value of our investments in complementary businesses through
our strategic investment portfolio; our ability to realize the benefits from strategic partnerships, joint ventures and investments; the impact of future gains or losses from our strategic investment portfolio, including gains or losses from overall market conditions that may affect
the publicly traded companies within our strategic investment portfolio; our ability to execute our business plans; our ability to successfully integrate acquired businesses and technologies; our ability to continue to grow unearned revenue and remaining performance obligation;
our ability to protect our intellectual property rights; our ability to develop our brands; our reliance on third-party hardware, software and platform providers; our dependency on the development and maintenance of the infrastructure of the Internet; the effect of evolving
domestic and foreign government regulations, including those related to the provision of services on the Internet, those related to accessing the Internet, and those addressing data privacy, cross-border data transfers and import and export controls; the valuation of our
deferred tax assets and the release of related valuation allowances; the potential availability of additional tax assets in the future; the impact of new accounting pronouncements and tax laws; uncertainties affecting our ability to estimate our tax rate; uncertainties regarding our
tax obligations in connection with potential jurisdictional transfers of intellectual property, including the tax rate, the timing of the transfer and the value of such transferred intellectual property; the impact of expensing stock options and other equity awards; the sufficiency of our
capital resources; factors related to our outstanding debt, revolving credit facility and loan associated with 50 Fremont; compliance with our debt covenants and lease obligations; current and potential litigation involving us; and the impact of climate change.
Further information on these and other factors that could affect the company’s financial results is included in the reports on Forms 10-K, 10-Q and 8-K and in other filings it makes with the Securities and Exchange Commission from time to time. These documents are available
on the SEC Filings section of the Investor Information section of the company’s website at www.salesforce.com/investor.
Salesforce.com, inc. assumes no obligation and does not intend to update these forward-looking statements, except as required by law.
4. #CD22
Introduction
How to build your own custom
predictions?
Demo
Consideration & Best
Practices
Resources
Presentation
Outline
5. #CD22
What is Salesforce Einstein?
Einstein is an application that uses AI, which makes Salesforce smarter. It is built on the robust and flexible Salesforce
security architecture
Discovers hidden insights and patterns your data
Predicts outcomes for every function & industry
Recommends the best action, offer or engagement
Automates business processes and workflows
Introduction
DESCRIPTIVE
What happened
and why?
PREDICTIVE
What’s going to
happen?
PRESCRIPTIVE
What should I
do about it?
6. #CD22
Allows to make custom predictions related to any custom or standard objects, helping the user to work smarter by
focussing time on the right tasks
● Point, Click and Predict - No code required
● No need for any tedious task of ETLing the data
● Predictions can be made based on the data given and continue to score as your dataset changes
● Learns from examples in the past to make predictions
● Using projections it helps you work smarter by focusing your time on the right tasks
● Predicts the answers to binary questions, i.e., Yes/No and numerical questions
Focus on Specific, High Priority, Business Outcomes
What is Einstein Prediction Builder?
7. #CD22
Prediction Data Terminologies
Dataset - the set of records on selected objects
Segment - Create a subset of your dataset to focus your prediction on
Example Set - Einstein identifies patterns in data from these records to
create predictions for other records
Prediction Set - The set of records that Einstein predicts values for
How to build your own Custom Predictions?
8. #CD22
Steps to configure
How to build your own Custom Predictions?
Choose Object
Choose what to
Predict
Choose what
information to use
Save Prediction
Plan Preview
Build
9. #CD22
Plan Your Predictions
● Define a use case
○ What is the problem my company is facing?
○ What type of prediction will help?
○ Can this prediction be phrased as a yes/no or
numeric question?
○ How will I use this Prediction?
○ How do I measure if this Prediction is successful?
● Choose Object
● Field and type of field you want to predict values for:
○ Binary Predictions
■ Leverage historic information to answer a
Yes/No question
○ Numeric Predictions (beta)
■ Leverage historic information to predict a
number
Data Considerations
If you can track it, you can predict it.
● Choose a repeatable workflow that you can report on to
build your prediction
● Take the time to identify the data that will enable the best
quality signal for your prediction.
● More data connected to Salesforce means more options
with predictions, and better quality data means better-
quality predictions.
11. #CD22
Considerations
Considerations & Best Practices
● Works with all custom objects, and supports limited standard objects.
● Your dataset needs to have enough records in order to build a successful prediction.
● Einstein Prediction Builder can make predictions for the Checkbox, Specially constructed formula
fields and Numeric.
● Predictions created in production aren’t copied to sandbox orgs.
● Predictions can’t be edited when in Enabled or Pending status.
● Predictions are packageable only in managed packages.
● Be aware of the Licenses and their Limits
○ Try v/s Paid Einstein version
○ Einstein Predictions license v/s Einstein Analytics Plus license
● Be aware of what’s GA vs Pilot/Beta features.
12. #CD22
Best Practices
Considerations & Best Practices
● Some key points:
○ It is all about Data
○ Pick the right tool for the Job
○ Start with the End in mind
○ Embed Predictions and Actionable Insights within Salesforce
○ Machine Learning projects are different
● Use “Data Checker” while selecting an object to predict
● Improve your Prediction’s Quality (Yes/No Predictions)
○ Collect More Data
○ Try different data segmentation
○ Example Set needs to have right records
○ Review the fields which are excluded and included in your prediction
○ Avoid Hindsight Bias
Descriptive
Diagnostic
Predictive
Prescriptive
What Happened?
Why It Happened?
What will Happen?
What to Do about it?
13. #CD22
1. Get closer to your customers with Salesforce Einstein.
2. Get Smart with Salesforce Einstein - Trailhead Modules
3. Training | Article View
4. Einstein Prediction Builder and Discovery Best Practices
5. The Salesforce Einstein Team – Medium
6. Tableau CRM Developer Org
7. Einstein Prediction Builder
* For your own practice - sign up for Tableau CRM Developer Edition org
developer.salesforce.com/promotions/orgs/analytics-de
Resources
Ahoj :)
Thanks to the organisers - Czech dreamin, and their sponsors for making it possible to present in person. Thank you all who all are here, and it’s a pleasure to be here.
Intro -
Because forward looking statements are inherently subject to risks and uncertainty, reminders that you should make any purchasing decisions or investment decisions based on products that are currently commercially available.
CRM has become massively data-led in the last few years. Data-based insights are a critical component of strategic decision-making, but transforming data into actionable insights can be challenging.
This brings the role of predictive analytics to the forefront.
What is Salesforce Einstein?
Salesforce Einstein gives sales, service marketing a complete and up-to-date view of customers and sales prospects, driven by AI.
Built on the Robust & flexible Salesforce security architecture.
------------- With Einstein Platform, customers can build AI-powered assistants and apps by leveraging:
Discovers using Einstein Discovery - for e.g. to understand what trends are driving your business or what marketing campaigns are performing
Predicts using Einstein Prediction Builder - for e.g. to predict the number of opportunities the company is going to close in next quarter
Recommends using Einstein Next Best Action - for e,g, the actions you should take to prevent your customers from leaving your company
And, lastly Automation, when customers think about AI, they think about Automation.. Having said that you can’t automate everything.. There are restriction to that but Think about a repetitive path which is what you can automate using AI and Einstein. We build AI-powered assistants and apps by leveraging Einstein Bots, Einstein Voice, Einstein Vision and Einstein Language for Automation
----------------------------------
Provides a Full spectrum of AI with descriptive, Predictive and Prescriptive capabilities
Here we’ll be exploring how Einstein Prediction Builder operates.
Einstein Prediction Builder: allows admins to create custom predictions on standard or custom objects in Salesforce with clicks, not code, using a simple wizard, which we’ll see in a minute.
Predictions can be made based on the data given and continue to score as your dataset changes. It learns from examples in the past to make predictions. There is no need for any tedious task of ETLing the data. It is just a few clicks process that allows you to make custom predictions related to any custom or standard objects. Using projections it helps you work smarter by focusing your time on the right tasks. It predicts the answers to binary questions, i.e., Yes/No and numerical questions.
Examples:
Maximise Win Rate
Maximise CSAT Score
MAximise Cross Sell
Einstein Forecasting
Lead and Opportunity Scoring
Territory Scoring
When using Einstein Prediction Builder, it’s helpful to understand some terms we use for sets of data.
One of the first steps in building a prediction is to select the object that contains the field you’re predicting. The set of records on that object is your overall dataset. For example, you want to predict your prospects’ likelihood to attend an event. So your prediction is based on the Lead object. You have 600 leads. That’s your dataset.
https://help.salesforce.com/articleView?id=sf.custom_ai_prediction_builder_filters.htm&type=5
After selecting an object, you have the option to focus your prediction on a segment of your data. You use condition logic to filter your dataset, which creates a subset of that data. For example, you’re interested in only your leads from non-banking industries. Your segment has 501 leads.
Then you tell Einstein which records in your segment (or in your whole dataset, if you’re not focusing on a segment) to use as examples for building a prediction. This is your example set. Einstein identifies patterns in data from these records to create predictions for other records. Your example set must include leads who have and haven’t attended a previous event. So you set up your conditions to include only leads that are being worked on. Using working leads rather than new leads makes your example set more likely to include a variety of values for prior event attendance.
The set of records that Einstein predicts values for is your prediction set. Your prediction set consists of the records in your segment (or dataset if you don’t have a segment) that Einstein provides prediction results (scores) for. The default selection is to score records that aren’t in the example set, which in this case means new leads.
------------
As you build a prediction, use Data Checker to make sure you have enough records in your segment, example set, and prediction set to build a prediction.
Before you start building a prediction, take some time to think about what you want to predict and how it translates to Salesforce objects and fields. In some cases, you might need to create a custom field to get your data in a format that Einstein can predict.
When planning your prediction, you first decide what field you want to predict. How you set up your prediction depends on the data type of the field you’re predicting.
Decide what field and type of field you want to predict values for.
You can predict numeric fields (beta)
You can predict custom formula fields and checkboxes
Get familiar with datasets, segments, example sets, and prediction sets.
Build the prediction. Einstein Prediction Builder guides you through all the steps. No coding needed!
Take time to review your prediction, check the score, and revisit it if required.
Before you start building a prediction, take some time to think about what you want to predict and how it translates to Salesforce objects and fields.
In some cases, you might need to create a custom field to get your data in a format that Einstein can predict.
Make sure you follow: Focus on Specific, High Priority, Business Outcomes
https://www.salesforce.com/content/dam/web/en_us/www/documents/e-books/analytics/sfdc-predictions.pdf
You can predict numeric fields (beta) like revenue, year-over-year growth, cost, tax, and salary.
You can predict custom formula fields and checkboxes, such as the likelihood that a deal closes, or the likelihood that year-over-year growth is greater than last year.
Choose a repeatable workflow that you can report on to build your prediction. Then take the time to identify the data that will enable the best quality signal for your prediction.
More data connected to Salesforce means more options with predictions, and better quality data means better-quality predictions
Few Examples of what to expect in terms of predictions:
Whether the next invoice will get paid or not?
Number of hours to close high priority cases?
The likelihood of closing a deal?
Use Case and Demo: Predict the likelihood of a project missing its delivery date so that you can better allocate resources and reduce project costs.
A very basic example of predicting the likelihood of getting an invoice paid. Or winning a deal that you’re trying to close?
Predicting the likelihood of closing a deal?
Or in other words: Predicting the number of opportunities the company is going to close?
Predicting a true/false field is a binary classification problem. For this type of prediction, Einstein tests these model types:
Random Forest
Logistic Regression
Predicting a number field (beta) is a regression problem. For this type of prediction, Einstein tests these model types:
Random Forest
Linear Regression
https://help.salesforce.com/articleView?id=sf.custom_ai_prediction_builder_considerations.htm&type=5
Licenses and Limits:
The Try Einstein version of Einstein Prediction Builder lets you build up to 10 predictions and enable up to one of them at a time. You also have access to most features.
The paid version of Einstein Prediction Builder is available with the Einstein Predictions and Einstein Analytics Plus licenses.
The Einstein Predictions license lets you build up to 20 predictions and enable up to 10 of them at a time.
The Einstein Analytics Plus license lets you build up to 45 predictions and enable up to 35 of them at a time. It also gives you access to display the Einstein Predictions component on records, which shows top predictors at the record level.
Pilot/Beta
As a beta feature, numeric field prediction is a preview and isn’t part of the “Services” under your master subscription agreement with Salesforce
Scoring Frequency is a pilot program
Use this feature at your sole discretion, and make your purchase decisions only on the basis of generally available products and features. Salesforce doesn’t guarantee general availability of this feature within any particular time frame or at all, and we can discontinue it at any time. This feature is for evaluation purposes only, not for production use. It’s offered as is and isn’t supported, and Salesforce has no liability for any harm or damage arising out of or in connection with it. All restrictions, Salesforce reservation of rights, obligations concerning the Services, and terms for related Non-Salesforce Applications and Content apply equally to your use of this feature.
If you’ve joined the Scoring Frequency pilot feature, you can decide how often records are scored for your prediction. Talk to your Salesforce Account Executive if you’d like to be nominated to the pilot.
Select Hourly to have Einstein check records hourly, and score any records that have changed.
Select When Records Change to have Einstein continuously check records and provide new scores whenever they change.
For e.g. - “Einstein Account Scoring” is part of a pilot program - Predict the likelihood of an account being receptive to your brand, messages, and products, so that you can identify and prioritize the right accounts and sell more.
https://help.salesforce.com/articleView?id=sf.custom_ai_prediction_builder_considerations.htm&type=5
First, notice whether the Prediction Quality title says “(Estimated)” or not. If so, it means that either you haven’t enabled your prediction yet, or it’s enabled but not yet running on live data. Either way, the quality score is estimated, based on a subset of your example data. It’s typical for the quality to go down after the prediction starts running on live data. For example, if your prediction quality is Great but estimated, check the scorecard again in about a month to see how it’s performing with live data.
Collect more data. Certainly not all quality problems are due to the amount of data, but in some cases you can improve the quality simply by waiting until your dataset is more full.
Try changing the way your data is segmented. For example, make sure your segment includes only records that are relevant to your prediction. If you have two distinct datasets that would each benefit from having its own prediction, create a separate prediction for each segment.
Make sure your example set contains the right records for both yes and no examples. Look for possible sources of bias in your data that might influence your prediction.
Make sure you’re not excluding any fields that could provide additional, useful data.
If your prediction uses formulas, check to make sure they’re correct.
If your prediction quality is Too High when estimated (before it’s running on live data), it’s likely too good to be true. Review the fields included in your prediction. Do any of them look wrong, or contain data that couldn’t have been known until after the event being predicted? If so, exclude those fields. This type of problem is called hindsight bias. Also look over the Top Predictors on the scorecard. Do they make sense? If any of them look wrong, consider excluding those fields.
Predicting a true/false field is a binary classification problem. For this type of prediction, Einstein tests these model types:
Random Forest
Logistic Regression
Predicting a number field (beta) is a regression problem. For this type of prediction, Einstein tests these model types:
Random Forest
Linear Regression
https://www.salesforce.com/content/dam/web/en_us/www/documents/e-books/analytics/sfdc-predictions.pdf
With Salesforce Einstein, you can rapidly progress from prototype to pilot to scale. Start building now. Track ROI and performance along the way with A/B testing through pilot rollouts and see the value yourself.
Last but not the least, thanks to the organisers, and everyone attending this session. And, thanks again for listening to me, hope you all learned something new in this session.