Einstein Analytics Stories and Prediction Builder both provide predictive capabilities within Salesforce, but have some key differences:
- Einstein Analytics Stories allows for more in-depth data insights and model visibility, while Prediction Builder focuses on rapid predictions within Salesforce objects.
- Einstein Analytics Stories supports both numeric and classification predictions across internal and external data, while Prediction Builder is limited to Salesforce data.
- Einstein Analytics Stories provides predictive stories and insights into why predictions were made, while Prediction Builder only shows high-level accuracy metrics and impacting factors.
- Einstein Analytics Stories is configured by data analysts, while Prediction Builder is aimed at Salesforce administrators for simple setup.
Raise your Brand's Analytics IQ with Salesforce EinsteinGib Bassett
From Salesforce Connections 2019: Advanced analytics like Machine Learning are typically the purview of only large companies with Data Science and Data Engineering teams. Einstein is all about bringing the power of data science to everyone, at scale, and often transparently so you don’t know it’s there working to improve a critical business process. Whether your company has a Chief Data Officer or not, chances are it’s interested in partaking in the AI revolution. Companies that achieve the greatest value from analytics look across their business for improvement opportunities – and Consumer Goods companies are no exception. In this session, see all the use cases enabled by Einstein that help you deliver more seamless and profitable consumer experiences. Take away a plan to chart your own course to raising your company’s analytics IQ with Salesforce!
Accomplished, motivated, mature, and productive desktop support technician with proven success providing both hardware and software support in both PC and Mac environments.
7 Major CX Challenges You Can Solve Today With Customer Journey AnalyticsPointillist
Exceptional customer experience has never been more critical to the success of a business, or more difficult to achieve. Check out this presentation to learn how leading CX teams are overcoming seven of the greatest challenges CX professionals are facing today using customer journey analytics.
You'll discover real journey analytics use cases that will enable you to:
-Generate actionable insights from customer data and CX metrics
-Quantify the impact of customer experience and the ROI of CX initiatives
-Identify and prioritize CX obstacles and opportunities to act upon
-Deliver effective and consistent omni-channel personalization at scale
-And more!
5 Signs You're Ready to Adopt Customer Journey AnalyticsPointillist
Like many other leading organizations today, you may be considering adopting customer journey analytics to take your business to the next level. But you might be unsure about whether you have the right data, processes and people in place to ensure your implementation will be a success.
In this presentation, you'll learn the five signs that indicate your organization is ready to move forward with customer journey analytics.
You'll get answers to many critical questions, including;
-Business: Which use cases will prove immediate value?
-People: Which internal teams, roles and skill sets are required?
-Technology: Which tools and data sources can be integrated?
-Data: What types of data can be used? How much preparation is required?
-Security & Privacy: How can I ensure compliance with our policies?
CX Measurement: How Customer-Obsessed Companies Embrace Journey-Based MetricsPointillist
Customer-obsessed companies are achieving a competitive advantage by taking a journey-based approach to CX measurement. Success requires companies to not only fuse data across the customer journey, but also pick the right metrics, organizational structure, culture, processes and technology.
In this presentation featuring guest speaker and Forrester Principal Analyst, Joana van den Brink-Quintanilha, you'll learn how journey analytics can help you:
-Define and track the right CX metrics for individual touchpoints & entire journeys
-Test journey hypotheses and prioritize resources across journeys
-Link CX metrics to your organization's overall KPIs
Customer Data and Analytics: Making Sense of Today's TechnologiesPointillist
As a CX, Marketing, BI or Analytics pro, you’re inundated every day with information about new solutions to improve customer data integration and measurement. But what exactly is the difference between technologies like customer journey analytics, CDPs, business intelligence, customer analytics, journey mapping, personalization and orchestration?
Each of these different technologies has a different set of capabilities, pros and cons, and problems they are designed to solve. Also, different teams within your organization may also have conflicting preferences and requirements for which tools to use. So how do you choose the right solution for your organization? Check out this presentation to find out what you need to know.
You'll learn:
-Primary use cases, advantages and disadvantages of each type of solution
-Which solutions work best with your existing technology stack
-Similarities and differences between journey analytics and these other approaches
-How to align other parts of your organization with your preferred approach to customer data management and analytics
Raise your Brand's Analytics IQ with Salesforce EinsteinGib Bassett
From Salesforce Connections 2019: Advanced analytics like Machine Learning are typically the purview of only large companies with Data Science and Data Engineering teams. Einstein is all about bringing the power of data science to everyone, at scale, and often transparently so you don’t know it’s there working to improve a critical business process. Whether your company has a Chief Data Officer or not, chances are it’s interested in partaking in the AI revolution. Companies that achieve the greatest value from analytics look across their business for improvement opportunities – and Consumer Goods companies are no exception. In this session, see all the use cases enabled by Einstein that help you deliver more seamless and profitable consumer experiences. Take away a plan to chart your own course to raising your company’s analytics IQ with Salesforce!
Accomplished, motivated, mature, and productive desktop support technician with proven success providing both hardware and software support in both PC and Mac environments.
7 Major CX Challenges You Can Solve Today With Customer Journey AnalyticsPointillist
Exceptional customer experience has never been more critical to the success of a business, or more difficult to achieve. Check out this presentation to learn how leading CX teams are overcoming seven of the greatest challenges CX professionals are facing today using customer journey analytics.
You'll discover real journey analytics use cases that will enable you to:
-Generate actionable insights from customer data and CX metrics
-Quantify the impact of customer experience and the ROI of CX initiatives
-Identify and prioritize CX obstacles and opportunities to act upon
-Deliver effective and consistent omni-channel personalization at scale
-And more!
5 Signs You're Ready to Adopt Customer Journey AnalyticsPointillist
Like many other leading organizations today, you may be considering adopting customer journey analytics to take your business to the next level. But you might be unsure about whether you have the right data, processes and people in place to ensure your implementation will be a success.
In this presentation, you'll learn the five signs that indicate your organization is ready to move forward with customer journey analytics.
You'll get answers to many critical questions, including;
-Business: Which use cases will prove immediate value?
-People: Which internal teams, roles and skill sets are required?
-Technology: Which tools and data sources can be integrated?
-Data: What types of data can be used? How much preparation is required?
-Security & Privacy: How can I ensure compliance with our policies?
CX Measurement: How Customer-Obsessed Companies Embrace Journey-Based MetricsPointillist
Customer-obsessed companies are achieving a competitive advantage by taking a journey-based approach to CX measurement. Success requires companies to not only fuse data across the customer journey, but also pick the right metrics, organizational structure, culture, processes and technology.
In this presentation featuring guest speaker and Forrester Principal Analyst, Joana van den Brink-Quintanilha, you'll learn how journey analytics can help you:
-Define and track the right CX metrics for individual touchpoints & entire journeys
-Test journey hypotheses and prioritize resources across journeys
-Link CX metrics to your organization's overall KPIs
Customer Data and Analytics: Making Sense of Today's TechnologiesPointillist
As a CX, Marketing, BI or Analytics pro, you’re inundated every day with information about new solutions to improve customer data integration and measurement. But what exactly is the difference between technologies like customer journey analytics, CDPs, business intelligence, customer analytics, journey mapping, personalization and orchestration?
Each of these different technologies has a different set of capabilities, pros and cons, and problems they are designed to solve. Also, different teams within your organization may also have conflicting preferences and requirements for which tools to use. So how do you choose the right solution for your organization? Check out this presentation to find out what you need to know.
You'll learn:
-Primary use cases, advantages and disadvantages of each type of solution
-Which solutions work best with your existing technology stack
-Similarities and differences between journey analytics and these other approaches
-How to align other parts of your organization with your preferred approach to customer data management and analytics
How CX Leaders Succeed with Journey Analytics: 8 Real-Life Use Cases and Succ...Pointillist
As a CX, analytics or marketing professional, you’re probably hearing a lot about how customer journey analytics can help you better understand your customers. That sounds great in theory, but what does it look like in practice? How are leading organizations actually using journey analytics to acquire, serve and retain customers, as well as measure and improve customer experience?
Check out this presentation to learn how world-class organizations in a variety of industries are using journey analytics software to discover actionable customer insights and translate them into tangible business results.
You’ll learn about 8 real-life use cases for how you can use journey analytics to:
-Measure & improve customer experience
-Streamline operational efficiency & reduce costs
-Grow revenue & maximize customer lifetime value
-Improve customer retention & churn
Why CX Leaders Take a Journey-Based Approach to Deliver the Next Best ExperiencePointillist
Customer expectations have changed and it’s no secret that delivering superior customer experiences is the key to business success today. Yet many organizations still fail to deliver the right experience, even with the most sophisticated customer analytics in place. Customer-obsessed organizations know that delivering the best next experience to the right customers at the right time does not happen in a vacuum, but within the context of a customer journey.
Check out this presentation featuring guest speaker and Forrester Principal Analyst, Brandon Purcell, to learn:
-Why even the most sophisticated customer analytics programs fall short without a journey-based approach
-How to contextualize your customers’ behavior to deliver optimal, personalized experiences across channels and in-real-time
-Why it’s essential to align your CX metrics with long-term business KPIs like customer lifetime value, churn and revenue
-How to leverage the output of existing customer analytics techniques, such as lookalike models, churn models, behavioral segmentation, response propensity, and lifetime value models
Site URL: http://www.forrester.com/Topic+Overview+Social+CRM+Goes+Mainstream/-/E-RES55884?docid=55884#/Topic+Overview+Social+CRM+Goes+Mainstream/fulltext/-/E-RES55884
How to Manage Rapidly Changing Contact Center Demands with Customer Journey A...Pointillist
View this presentation to see how leading teams are leveraging the Pointillist Customer Journey Analytics platform to detect, diagnose and act upon high impact CX issues in the contact center. Discover how journey analytics can help you manage dramatically increasing call volume, rising support costs and changing channel behavior to improve customer experiences and achieve desired business outcomes.
You’ll learn how world-class enterprise teams use Pointillist to:
-Monitor their most important customer journeys to rapidly detect issues impacting critical KPIs such as call volume, FCR, containment rates and cost-to-serve
-Quickly identify CX issues, pinpoint the root cause(s), quantify the business impact and prioritize improvements
-Orchestrate personalized, cross-channel actions to resolve identified issues and measure results in real time
The Value of Data Governance & Performance MeasurementObservePoint
Driving growth requires collecting accurate, complete customer data and using that data to improve customer experiences and generate new revenue. So what do you do if your data is untrustworthy or incomplete?
In this tip sheet, The Value of Data Governance & Performance Measurement, you'll learn how you can leverage automated data governance and performance measurement to:
- Ensure data is standardized, unified, and validated—so that nothing slips through the cracks
- Test critical pathways to ensure quality experiences on your site
- Track end-to-end customer journeys for holistic insights
- Implement ongoing data validation and sophisticated attribution to drive growth
Summary of Salesforce capabilities to improve customer service operations and processes resulting in improved customer satisfaction and significant cost reduction.
Marketing Cloud: The Dawn of the Digital MarketerDreamforce
The sun is rising on the future of marketing. Customers are engaging with brands they love on digital channels like never before, and new technology is further enabling ways for companies to impress customers every day. The dawn of the digital marketer is upon us. Join us and learn how the world's most innovative brands are cultivating 1-to-1 customer experiences across marketing, sales, and service.
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
At Gunaatita, we are a trusted Microsoft BizSpark startup end-to-end Software solutions & Web development Company that provides excellent services in Enterprise mobility solutions, Software product engineering, Content Management System, CRM and Mobile applications using Java & .Net Technologies. We are committed to provide great value to our customers as a trusted offshore partner with our experience and expertise in cutting edge technology and highly process oriented execution.
Our main services include:
. Website Design and Development
. Enterprise Portal Development
. Mobile App Development (Android)
. E-commerce Solutions
. Service API development
Key takeaways from the Gartner Magic Quadrant for the CRM Customer Engagement...Creatio
Bpm'online has been included in the Gartner CRM Customer Engagement Center Magic Quadrant, 2015.
Report Highlights:
- Through 2018, an ecosystem of at least five vendors will be required to build the ideal customer engagement center (CEC), the core of which will be an intelligent CRM case management system.
- Great diligence must be shown by IT leaders working on customer service projects.
- To support customers, some interactions will remain human-assisted, while far more will be automated, and some will require customer self-service through search tools or social media channels.
How CX Leaders Succeed with Journey Analytics: 8 Real-Life Use Cases and Succ...Pointillist
As a CX, analytics or marketing professional, you’re probably hearing a lot about how customer journey analytics can help you better understand your customers. That sounds great in theory, but what does it look like in practice? How are leading organizations actually using journey analytics to acquire, serve and retain customers, as well as measure and improve customer experience?
Check out this presentation to learn how world-class organizations in a variety of industries are using journey analytics software to discover actionable customer insights and translate them into tangible business results.
You’ll learn about 8 real-life use cases for how you can use journey analytics to:
-Measure & improve customer experience
-Streamline operational efficiency & reduce costs
-Grow revenue & maximize customer lifetime value
-Improve customer retention & churn
Why CX Leaders Take a Journey-Based Approach to Deliver the Next Best ExperiencePointillist
Customer expectations have changed and it’s no secret that delivering superior customer experiences is the key to business success today. Yet many organizations still fail to deliver the right experience, even with the most sophisticated customer analytics in place. Customer-obsessed organizations know that delivering the best next experience to the right customers at the right time does not happen in a vacuum, but within the context of a customer journey.
Check out this presentation featuring guest speaker and Forrester Principal Analyst, Brandon Purcell, to learn:
-Why even the most sophisticated customer analytics programs fall short without a journey-based approach
-How to contextualize your customers’ behavior to deliver optimal, personalized experiences across channels and in-real-time
-Why it’s essential to align your CX metrics with long-term business KPIs like customer lifetime value, churn and revenue
-How to leverage the output of existing customer analytics techniques, such as lookalike models, churn models, behavioral segmentation, response propensity, and lifetime value models
Site URL: http://www.forrester.com/Topic+Overview+Social+CRM+Goes+Mainstream/-/E-RES55884?docid=55884#/Topic+Overview+Social+CRM+Goes+Mainstream/fulltext/-/E-RES55884
How to Manage Rapidly Changing Contact Center Demands with Customer Journey A...Pointillist
View this presentation to see how leading teams are leveraging the Pointillist Customer Journey Analytics platform to detect, diagnose and act upon high impact CX issues in the contact center. Discover how journey analytics can help you manage dramatically increasing call volume, rising support costs and changing channel behavior to improve customer experiences and achieve desired business outcomes.
You’ll learn how world-class enterprise teams use Pointillist to:
-Monitor their most important customer journeys to rapidly detect issues impacting critical KPIs such as call volume, FCR, containment rates and cost-to-serve
-Quickly identify CX issues, pinpoint the root cause(s), quantify the business impact and prioritize improvements
-Orchestrate personalized, cross-channel actions to resolve identified issues and measure results in real time
The Value of Data Governance & Performance MeasurementObservePoint
Driving growth requires collecting accurate, complete customer data and using that data to improve customer experiences and generate new revenue. So what do you do if your data is untrustworthy or incomplete?
In this tip sheet, The Value of Data Governance & Performance Measurement, you'll learn how you can leverage automated data governance and performance measurement to:
- Ensure data is standardized, unified, and validated—so that nothing slips through the cracks
- Test critical pathways to ensure quality experiences on your site
- Track end-to-end customer journeys for holistic insights
- Implement ongoing data validation and sophisticated attribution to drive growth
Summary of Salesforce capabilities to improve customer service operations and processes resulting in improved customer satisfaction and significant cost reduction.
Marketing Cloud: The Dawn of the Digital MarketerDreamforce
The sun is rising on the future of marketing. Customers are engaging with brands they love on digital channels like never before, and new technology is further enabling ways for companies to impress customers every day. The dawn of the digital marketer is upon us. Join us and learn how the world's most innovative brands are cultivating 1-to-1 customer experiences across marketing, sales, and service.
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
At Gunaatita, we are a trusted Microsoft BizSpark startup end-to-end Software solutions & Web development Company that provides excellent services in Enterprise mobility solutions, Software product engineering, Content Management System, CRM and Mobile applications using Java & .Net Technologies. We are committed to provide great value to our customers as a trusted offshore partner with our experience and expertise in cutting edge technology and highly process oriented execution.
Our main services include:
. Website Design and Development
. Enterprise Portal Development
. Mobile App Development (Android)
. E-commerce Solutions
. Service API development
Key takeaways from the Gartner Magic Quadrant for the CRM Customer Engagement...Creatio
Bpm'online has been included in the Gartner CRM Customer Engagement Center Magic Quadrant, 2015.
Report Highlights:
- Through 2018, an ecosystem of at least five vendors will be required to build the ideal customer engagement center (CEC), the core of which will be an intelligent CRM case management system.
- Great diligence must be shown by IT leaders working on customer service projects.
- To support customers, some interactions will remain human-assisted, while far more will be automated, and some will require customer self-service through search tools or social media channels.
What does the 4th industrial revolution and Artificial Intelligence mean for you? Admins have an amazing opportunity to take advantage of Einstein to bring AI to their companies. Learn how to use the latest features of Salesforce Einstein to embed intelligence to your custom applications built on the Salesforce Platform. We'll also give a sneak peek at the Einstein capabilities planned for the upcoming Spring ‘18 release.
Curious about Einstein Platform Services, and how to use them to build AI-powered apps? Join us for this exclusive, interactive webinar where you can ask product owners, Michael Machado and Zineb Laraki, anything you want! We’ll also have your favorite green wigged evangelist, René Winkelmeyer, on hand to answer any burning questions - don’t miss out! We might even have some roadmap hints :)
In this exclusive webinar, you'll learn about
What’s coming next
What we’re most excited about
How to become an AI expert in no time
How to get started today on some amazing applications
Ready to bring the power of AI to your organization but not sure where to start? Join our webinar! We will be diving into features available in Sales Cloud Einstein, how to evaluate Einstein for your organization, and best practices around rolling out AI to your sales team. This webinar is for Admins who want to learn how to incorporate Einstein into your sales workflows.
Einstein Object Detection allows you to easily integrate advanced computer vision technology into your Salesforce workflows and external applications. Join us and learn how to train and deploy Einstein Object Detection models so that you can automate inventory analysis, streamline compliance checks, and optimize share of shelf analysis to bring new levels of productivity to the user experience. The use-cases are limitless!
Einstein Platform Services allow you to build AI-powered apps fast by making the power of image recognition and natural language processing accessible, regardless of skill level. You can easily train deep learning models at scale using Einstein’s integrated REST APIs, compatible with any programming language. Learn how to integrate deep learning models into your apps to unlock valuable insights from text and images to bring new levels of productivity to the user experience.
In this exclusive webinar, you'll learn about
- What’s available today with Einstein Platform Services
- How to train, deploy, and integrate deep learning models into your applications
- Use-cases that you can start exploring today
Build an AI Roadmap and Win the Consumer Goods Intelligence RaceGib Bassett
My presentation from Salesforce Connections 2018. In it, I describe why it's important to think about a use case driven strategy for advanced analytics and AI.
DataDreamin presents: A Cup of Data vol 4 - Spilling the Tea on UX Design Principles - November 12th, 2021 by Elena Migunova.
You know how to build recipes and dashboards, got your Tableau CRM skills. But how do you create EFFECTIVE dashboards? This session will teach you how you can become a design hero and give you the right tools to apply UX design principles to your Tableau CRM dashboards.
As a commercial application partner, you've got to consider some important factors before you architect your app. What license types are best for your target audience? How will your app interact with standard Salesforce features and objects? How do you ensure the app can scale to meet the needs of your customers? This session will explore important decisions and best practices for building a commercial grade application on Force.com. This session is primarily intended for product managers and architects
Enhancing Your Lightning Apps with Einstein Analyticsrikkehovgaard
Go beyond traditional reports and dashboards with embedded Einstein Analytics, including everything from a single KPI to a full-featured interactive dashboard. Join us to learn how analytics can enhance and extend your apps, without your users having to be trained as data scientists or business analysts. We will also be providing an early look at the enhancements to the product for the upcoming Winter '20 release.
Accelerate time to insights with Einstein Analytics templatesrikkehovgaard
Accelerate time to value by utilizing one of the many Einstein Analytics templates to jumpstart your business solution. In this workshop you will have an introduction to the available templates for applications and dashboards, creating at least one application from a template. As an exercise, we will choose a dashboard template, carry out some customizations and embed it in a core salesforce page as well as making it ready for the Mobile Analytics App.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4
Demystifying salesforce predictions ea user group brightgen
1. Demistifying Salesforce Predictions
Insight driven decision-making
Using Salesforce’s Einstein to turn data into action
clinsky@salesforce.com
Dr Colin Linsky
Lead Solution Engineer, EMEA Einstein Analytics and AI Team
2. Forward-Looking Statements
This presentation may contain forward-looking statements that involve risks, uncertainties, and assumptions. If any such uncertainties materialize or if any of the assumptions
proves incorrect, the results of salesforce.com, inc. could differ materially from the results expressed or implied by the forward-looking statements we make. All statements other
than statements of historical fact could be deemed forward-looking, including any projections of product or service availability, subscriber growth, earnings, revenues, or other
financial items and any statements regarding strategies or plans of management for future operations, statements of belief, any statements concerning new, planned, or upgraded
services or technology developments and customer contracts or use of our services.
The risks and uncertainties referred to above include – but are not limited to – risks associated with developing and delivering new functionality for our service, new products and
services, our new business model, our past operating losses, possible fluctuations in our operating results and rate of growth, interruptions or delays in our Web hosting, breach of
our security measures, the outcome of any litigation, risks associated with completed and any possible mergers and acquisitions, the immature market in which we operate, our
relatively limited operating history, our ability to expand, retain, and motivate our employees and manage our growth, new releases of our service and successful customer
deployment, our limited history reselling non-salesforce.com products, and utilization and selling to larger enterprise customers. Further information on potential factors that
could affect the financial results of salesforce.com, inc. is included in our annual report on Form 10-K for the most recent fiscal year and in our quarterly report on Form 10-Q for
the most recent fiscal quarter. These documents and others containing important disclosures are available on the SEC Filings section of the Investor Information section of our
Web site.
Any unreleased services or features referenced in this or other presentations, press releases or public statements are not currently available and may not be delivered on time or
at all. Customers who purchase our services should make the purchase decisions based upon features that are currently available. Salesforce.com, inc. assumes no obligation and
does not intend to update these forward-looking statements.
Statement under the Private Securities Litigation Reform Act of 1995
3. Topics
1. AI and Salesforce
2. Creating intelligent data-driven experiences
1. Prediction Builder
2. Strategy Crafter
3. Einstein Analytics Plus Stories
A few leading innovations around customer intelligence at Salesforce
7. Einstein Makes our Apps and Platform SMART
Store
Data
Make
Predictions
Analyze
Results
Take
Action
Rapidly
Automate
Trusted Cloud
myEinstein
Lightning
Einstein Analytics
Sales Cloud
Einstein
Service Cloud
Einstein
Marketing Cloud
Einstein
Community
Cloud Einstein
Commerce Cloud
Einstein
Einstein Prediction
Builder
Einstein
Discovery
Einstein Vision
& Language
CRM
data
Email, calendar,
social data
IoT, external
data
Einstein Apps
8. ...Sales smarter ...Service smarter ...Marketing smarter ...Operations smarter
Potential Wins
Which are the most important Leads /
Opportunities to focus on?
Improve CSAT
Which activities are hurting / improving
CSAT?
Increase Response Rates
How can response rates for campaigns be
increased?
Maximize Utilization
How can we drive the utilization of our
products?
Time to Close
How long is it likely going to take to close
an opportunity?
Time to service
When is the next service likely due?
Understanding campaign success
Why and where did our last campaign
succeed / why did it fail?
Quality Management
How can root causes for production
failures be identified?
Pipeline Health
Do we have to potential to make budget
with our existing pipeline?
Solve Cases at first Contact
How can first contact resolution (FCR)
rate be increased?
Customer Targeting
Which are the best customer segments
to focus on?
Increase Cash Flow
What actions can be taken to increase
Cash Flow, and why?
Identifying relevant customers
Which customers do have the potential
to prescribe more?
Deliver Service Faster
How can average handle time (AHT) be
decreased?
Increase Loyalty
How can customer retention & loyalty be
increased?
Minimize payment defaults
Which customer segments impose a risk
of deficit in payment?
Reduce Churn
Which customers have the highest churn
risk and why??
Cross- & Up-Sell
What are the best cross- & up-sell offers
and campaigns?
Optimize Marketing-Mix
What is the most effective marketing
mix?
Product configuration
What are the best default configurations
for our products?
Einstein makes...
9. Will this lead convert?
Will this opportunity close?
Will this customer stop using our services/contract?
Will this customer renew a contract?
Will this case escalate?
Will this case be solved at First Contact?
Can I upsell to this customer?
Will this customer open or click an email?
Will this invoice be paid in time?
Will this product pass QA?
“Yes or
No…..”
10. … is the CSAT going to be?
… revenue will we make with this customer?
… longer before this opportunity closes?
… longer before this case closes?
… longer before we need to service this installation?
… products will be sold this month?
… times will I need to contact this Doctor?
… cases are needed to resolve this issue?
… times a week will orders be placed?
“How
much…..”
“How
many…..”
11. Salesforce Keeps Getting Smarter with Einstein (Winter
’19)
Marketing Cloud Einstein
Einstein Engagement Scoring & Splits
Einstein Vision for Social
Einstein Social Insights
Einstein Journey Insights (DMP)
Einstein Segmentation (DMP pilot)
Service Cloud
Einstein
Einstein Bots
Einstein Agent (pilot)
Einstein Vision for Field Service (pilot)
Sales Cloud Einstein
Einstein Lead Scoring & Oppty Scoring
Einstein Opportunity & Account Insights
Einstein Forecasting
Einstein Activity Capture
Einstein Automated Contacts
Einstein Readiness Assessor
Einstein Data Insights (pilot)
Includes Inbox & Sales Analytics
Commerce Cloud Einstein
Einstein Product Recommendations
Einstein Search Dictionaries
Einstein Predictive Sort (beta)
Einstein Commerce Insights
Einstein Visual Search (beta)
myEinstein
Einstein Prediction Builder (pilot)
Einstein Vision
Einstein Language
Einstein Discovery
Einstein Next Best Action (pilot)
Community Cloud
EinsteinEinstein Answers (pilot)
Community Sentiment (pilot)
Einstein Recommendations
Einstein Feed Insights
Einstein Feed Search
Einstein Experts
Austin Buchan
CEO, College Forward
NEW
NEW
NEW
NEW
12. What if my needs, requirements
and more importantly, my Use
Cases, are unique?
13. Intelligent Experience for Sales
Take Action
4
See What
Happened
2
1 Get Notified
3 See What’s Likely to
Happen
Transparent explanations behind every recommendation
Einstein Delivers Insightful and Actionable Predictions
16. Decision Support in the Real World
Prediction Builder (Core) (Pilot)
Easy admin, self-sustained prediction engine and deployment
Stories in Einstein Analytics (Einstein Analytics Plus)
Flexible, comprehensive, open and inclusive insight generation and model building capabilities
Einstein Analytics (Einstein Analytics Growth)
Tools for surfacing insights right where they are needed in the format that has the most impact
* Prediction Builder + Discovery (Einstein Predictions)
Building and embedding your own predictions
17. Introducing: Einstein Analytics
Interactive analytics and production-ready dashboards & reports
Interactive Analytics
Unlimited exploration of relationships and differences
Deployable Insights
Embed charts, reports, metrics, guides and many other types of
insight directly into consumer and customer systems using widgets
Industrial Strength Data Handling
Features and functions designed to work seamlessly with
customer data inside and outside of Salesforce
Native CRM Insight into Action Framework
See something and then take action on it right from within the
insight
18. Introducing: Einstein Analytics Stories
Advanced analytics at the heart of Salesforce
Automated Analytics
Analyze millions of data combinations in minutes
Unbiased Insights
Understand what happened, why it happened, what will happen,
and what to do about it
Narrative Explanations
Natural language-based insights and stories exported to Salesforce
or Microsoft Office
Recommended Actions
Take action, stay on top of changes, and gain advantage right
where the decisions happen
speed to insight
+10x
*Source: Salesforce Customer Relationship Survey conducted 2014-2016 among 10,500+
customers randomly selected. Response sizes per question vary.
19. Introducing: Prediction Builder
Automated Predictive Model building and deployment
Automated Analytics
Wizard driven setup and ease of administration
Adaptive Sensitivity
Intelligent model building and control of inputs
Predictions Embedded into Records
Automated Model Management
Model competition and automatic sensitivity to changes in data
patterns
Writeback process automated
https://engineering.salesforce.com/open-sourcing-transmogrifai-4e5d0e098da2
20. An example of Prediction Builder…
Retaining customers in a fickle services market
21. An example of Einstein Analytics Stories…
Retaining and growing accounts
23. Analytics needn’t just be about reporting and the management of past behaviours
Analytics should also:
• Understand customer data and customer engagement
• Deliver intelligent support to decision-making
• Be used at the point of interaction with customers or end users
• Look forwards not just backwards
Resulting in:
• A more responsive and intelligent view of all data and actions leading to more informed decisions
and better experiences
Extracting value from data and fueling better decisions
Key Takeaways: Einstein Analytics and Prediction Builder
26. Prediction Builder
Quick Start: Prediction Builder
https://trailhead.salesforce.com/en/content/learn/projects/prediction_builder
Einstein Analytics Plus (Stories/Discovery)
Gain Insight with Einstein Discovery
https://trailhead.salesforce.com/en/content/learn/trails/wave_analytics_einstein_discovery
Einstein Discovery Stories
https://trailhead.salesforce.com/en/content/learn/modules/understand_einstein_discovery_stories
Einstein Discvoery Story Insights
https://trailhead.salesforce.com/en/content/learn/modules/dm_einstein_discovery_advanced_stories
Einstein Discovery Basics
https://trailhead.salesforce.com/en/content/learn/modules/wave_exploration_smart_data_discovery_basics
Einstein Analytics Insight Specialist Superbadge
https://trailhead.salesforce.com/en/content/learn/superbadges/superbadge_analytics_insights_specialist
Trailhead resources
27. Crikey, I think I got that, but remind me what are
the difference between Einstein Analytics Stories
and Prediction Builder?
28. General
o Business-analyst centric tool for gaining full
understanding of data insights: Discover!
o Create predictions with the obtained model
o Input / training data: EA datasets
o Fine-grain visibility on model accuracy
o Rapid point & click approach to generating
predictions on force.com objects: Predict fast!
o See a few high level impacting factors on what
drives the predictions
o Input / training data: force.com data
o Limited visibility on model accuracy
Einstein Discovery Einstein Prediction Builder
29. Predictive capabilities
o Numeric predictions (regression)
o Predicted LTV, Predicted CSAT etc.
o Likelihood of yes/no questions (binary
classification)
o Churn, conversion propensity, escalation etc.
o Piece Generalize Linear Regression with dummy
variables using Ridge Kernels
o No auto-feature engineering, field selection
controlled by users
o Numeric predictions (regression)
o Predicted LTV, Predicted CSAT etc.
o Likelihood of yes/no questions (binary
classification)
o Churn, conversion propensity, escalation etc.
o Regression models, Random forests, Naive
bayes..,
o Auto-feature engineering
o https://engineering.salesforce.com/open-
sourcing-transmogrifai-4e5d0e098da2
Einstein Discovery Einstein Prediction Builder
30. Data insights & Model insights
o Story with data insights to improve model and
increase business understanding
o What happened / Why did it happen
o What could happen / How to improve it
o What is the difference / Story over time
o Precise model accuracy metrics & insights
o R-squared, MAE, residual based metrics
(regression) etc.
o Specificity / Sensitivity based metrics
(classification)
o No Story, model built with auto-machine
learning for simple point & click setup
o High-level model metrics & insights
o “Predictive model Score Cord” with accuracy
percentage , top impacting factors
o R2 for numeric, AUC for binary classification
Einstein Discovery Einstein Prediction Builder
31. Data Sources & Deployment
o Internal & External Data, Multiple Objects
o Manual data set creation / preparation
o Get Record based predictions in force.com
o With APEX / managed package
o Possibility of (near) real time
o Manual data refresh / retrain
o Setup by “Data analyst” & Admin
o SF Internal data only, Single object
o Directly from org, pick fields & apply filters
o Get Record based predictions in force.com
o Automatically
o A-synchronous (every hour)
o Automatic data refresh/ retrain
o Setup by Salesforce Admin
Einstein Discovery Einstein Prediction Builder
32. Security, Data residency & Encrypted fields
o Running on Core data centers
o Encryption in transit and at rest
o Manual salesforce connection, include
encrypted fields if wanted
o Customer decides on input fields and can
decide to leave out data such as PII data
o No FLS applied to impacting factors
o Running on AWS in the US
o Connection between Salesforce Core and AWS
managed by Salesforce
o Encryption in transit and at rest
o No access to encrypted fields, encrypted fields
are not part of the model
o All data (excl. encrypted) moved to Einstein
data lake, even if not in the model
o FLS applied to impacting factors
Einstein Discovery Einstein Prediction Builder