Maintaining a support department's SLA can be a difficult task for any organization. Here are a few best practices you can utilize to uphold your Support Department’s SLA in Salesforce.
MongoDB World 2019: High Performance Auditing of Changes Based on MongoDB Cha...MongoDB
Take advantage of the elasticity of the cloud by creating resources that can heal themselves. Learn to create Compute Engine resources in GCP using Terraform that will install and configure a MongoDB replica set for you.
Why Your Data Science Architecture Should Include a Data Virtualization Tool ...Denodo
Watch full webinar here: https://bit.ly/35FUn32
Presented at CDAO New Zealand
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python, and Scala put advanced techniques at the fingertips of the data scientists.
However, most architecture laid out to enable data scientists miss two key challenges:
- Data scientists spend most of their time looking for the right data and massaging it into a usable format
- Results and algorithms created by data scientists often stay out of the reach of regular data analysts and business users
Watch this session on-demand to understand how data virtualization offers an alternative to address these issues and can accelerate data acquisition and massaging. And a customer story on the use of Machine Learning with data virtualization.
Data Fabric - Why Should Organizations Implement a Logical and Not a Physical...Denodo
Watch full webinar here: https://bit.ly/3fBpO2M
Data Fabric has been a hot topic in town and Gartner has termed it as one of the top strategic technology trends for 2022. Noticeably, many mid-to-large organizations are also starting to adopt this logical data fabric architecture while others are still curious about how it works.
With a better understanding of data fabric, you will be able to architect a logical data fabric to enable agile data solutions that honor enterprise governance and security, support operations with automated recommendations, and ultimately, reduce the cost of maintaining hybrid environments.
In this on-demand session, you will learn:
- What is a data fabric?
- How is a physical data fabric different from a logical data fabric?
- Which one should you use and when?
- What’s the underlying technology that makes up the data fabric?
- Which companies are successfully using it and for what use case?
- How can I get started and what are the best practices to avoid pitfalls?
When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
Have you ever been involved in developing a strategy for loading, extracting, and managing large amounts of data in salesforce.com? Join us to learn multiple solutions you can put in place to help alleviate large data volume concerns. Our architects will walk you through scenarios, solutions, and patterns you can implement to address large data volume issues.
Loras College 2014 Business Analytics Symposium | Aaron Lanzen: Creating Busi...Cartegraph
Cisco Services is providing a behind-the-scenes perspective of its decision management and smart analytics programs. Success for Cisco is more than the technology or any one project. It's a mix of art, philosophy and technology that allows analytics to keep adding value to the business. You will hear how the program has evolved over the last 6 years and will explore different levels of smart analytics. Along the way, you will hear how the team grew a simple idea into a patent-pending resource allocation model.
For more information on the Loras College 2014 Business Analytics Symposium, the Loras College MBA in Business Analytics or the Loras College Business Analytics Certificate visit www.loras.edu/mba or www.loras.edu/bigdata.
Outsourcing IT Projects to Managed Hosting of the CloudRackspace
Is your organization looking to cut costs, reduce deployment time, or gain new capabilities that you find challenging to implement with traditional on-premises infrastructure? Then outsourcing IT may be right for you.
MongoDB World 2019: High Performance Auditing of Changes Based on MongoDB Cha...MongoDB
Take advantage of the elasticity of the cloud by creating resources that can heal themselves. Learn to create Compute Engine resources in GCP using Terraform that will install and configure a MongoDB replica set for you.
Why Your Data Science Architecture Should Include a Data Virtualization Tool ...Denodo
Watch full webinar here: https://bit.ly/35FUn32
Presented at CDAO New Zealand
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python, and Scala put advanced techniques at the fingertips of the data scientists.
However, most architecture laid out to enable data scientists miss two key challenges:
- Data scientists spend most of their time looking for the right data and massaging it into a usable format
- Results and algorithms created by data scientists often stay out of the reach of regular data analysts and business users
Watch this session on-demand to understand how data virtualization offers an alternative to address these issues and can accelerate data acquisition and massaging. And a customer story on the use of Machine Learning with data virtualization.
Data Fabric - Why Should Organizations Implement a Logical and Not a Physical...Denodo
Watch full webinar here: https://bit.ly/3fBpO2M
Data Fabric has been a hot topic in town and Gartner has termed it as one of the top strategic technology trends for 2022. Noticeably, many mid-to-large organizations are also starting to adopt this logical data fabric architecture while others are still curious about how it works.
With a better understanding of data fabric, you will be able to architect a logical data fabric to enable agile data solutions that honor enterprise governance and security, support operations with automated recommendations, and ultimately, reduce the cost of maintaining hybrid environments.
In this on-demand session, you will learn:
- What is a data fabric?
- How is a physical data fabric different from a logical data fabric?
- Which one should you use and when?
- What’s the underlying technology that makes up the data fabric?
- Which companies are successfully using it and for what use case?
- How can I get started and what are the best practices to avoid pitfalls?
When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
Have you ever been involved in developing a strategy for loading, extracting, and managing large amounts of data in salesforce.com? Join us to learn multiple solutions you can put in place to help alleviate large data volume concerns. Our architects will walk you through scenarios, solutions, and patterns you can implement to address large data volume issues.
Loras College 2014 Business Analytics Symposium | Aaron Lanzen: Creating Busi...Cartegraph
Cisco Services is providing a behind-the-scenes perspective of its decision management and smart analytics programs. Success for Cisco is more than the technology or any one project. It's a mix of art, philosophy and technology that allows analytics to keep adding value to the business. You will hear how the program has evolved over the last 6 years and will explore different levels of smart analytics. Along the way, you will hear how the team grew a simple idea into a patent-pending resource allocation model.
For more information on the Loras College 2014 Business Analytics Symposium, the Loras College MBA in Business Analytics or the Loras College Business Analytics Certificate visit www.loras.edu/mba or www.loras.edu/bigdata.
Outsourcing IT Projects to Managed Hosting of the CloudRackspace
Is your organization looking to cut costs, reduce deployment time, or gain new capabilities that you find challenging to implement with traditional on-premises infrastructure? Then outsourcing IT may be right for you.
Fast Data Choices: 5 Strategies for Evaluating Alternative Business and Techn...VoltDB
In this third and final installment of our Executive Webinar Series on Fast Data Strategy, Dennis Duckworth, Director of Product Marketing at VoltDB outlines 5 strategies for evaluating alternative business and technology options. You’ll gain easy-to-use tools to help you map potential areas of investment in new applications and services that use fast data. We’ll demystify today’s key functional requirements and examine the range of available technology options, including ‘free’ software.
Finance Trading in The Cloud - AWS Michigan MeetupEric Detterman
This presentation, given at AWS Michigan Meetup on 10-09-2012 provides an overview of how we used Amazon Web Services to conduct a quantitative trading system simulation on Amazon Web Services (AWS). We demonstrate an improvement in processing time of an order of magnitude and cost savings of greater than 99% compared to a traditional, in-house physical infrastructure.
How Data Virtualization Puts Enterprise Machine Learning Programs into Produc...Denodo
Watch full webinar here: https://bit.ly/3offv7G
Presented at AI Live APAC
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Watch this on-demand session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc.
Who Does What, When, and How for a Divestiture?eprentise
Businesses that are going through a divestiture need to consider several key questions: What are we selling, and why? What data belongs to me, and how do I find it? As my business changes by the rules, how do I achieve agility? What are my options for divesting? This webinar will address potential business and IT issues affecting organizations that go through the divestiture process. The presentation will touch on key insights and outline approaches that can be used by both business and IT organizations to ensure success.
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The Slides are from my session at "An Evening of Enterprise Architecture Awareness" held at theUniversity of Sussex Hosted by the BCS Local Chapter and facilitated by the BCS EA Specialist Group.
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Welcome to UiPath Document Understanding! In this program, you will embark on a thrilling journey into the world of intelligent automation and discover how UiPath can revolutionize your document processing workflows. Document understanding is a critical aspect of many industries, and UiPath offers powerful tools and capabilities to extract valuable insights from unstructured data with remarkable accuracy and efficiency.
Through your attendance, you will gain a deep understanding of UiPath Document Understanding, learning how to leverage its features to automate data extraction, classification, and analysis from various document types. You'll explore techniques such as optical character recognition (OCR), machine learning, and AI-driven document processing equipping you with the knowledge to tackle complex document challenges head-on. With real-life use cases, a practical demonstration, and best practices, you'll be empowered to unlock the full potential of UiPath Document Understanding and drive transformative outcomes for your organization. Get ready to embark on a transformative learning experience and unleash the power of UiPath in the world of document understanding!
Agenda:
1. Exploring UiPath Document Understanding
2. Deep Dive into Document Understanding Methods and Techniques
3. UiPath Document Understanding in Action
4. Best Practices for Implementing Document Understanding
5. Future Trends and Innovations
6. Q&A Session
AI as a Service, Build Shared AI Service Platforms Based on Deep Learning Tec...Databricks
I will share the vision and the production journey of how we build enterprise shared AI As A Service platforms with distributed deep learning technologies. Including those topics:
1) The vision of Enterprise Shared AI As A Service and typical AI services use cases at FinTech industry
2) The high level architecture design principles for AI As A Service
3) The technical evaluation journey to choose an enterprise deep learning framework with comparisons, such as why we choose Deep learning framework based on Spark ecosystem
4) Share some production AI use cases, such as how we implemented new Users-Items Propensity Models with deep learning algorithms with Spark,improve the quality , performance and accuracy of offer and campaigns design, targeting offer matching and linking etc.
5) Share some experiences and tips of using deep learning technologies on top of Spark , such as how we conduct Intel BigDL into a real production.
Modern data processing environments resemble factory lines, transforming raw data to valuable data products. The lean principles that have successfully transformed manufacturing are equally applicable to data processing, and are well aligned with the new trend known as DataOps. In this presentation, we will explain how applying lean and DataOps principles can be implemented as technical data processing solutions and processes in order to eliminate waste and improve data innovation speed. We will go through how to eliminate the following types of waste in data processing systems:
* Cognitive waste - unclear source of truth, dependency sprawl, duplication, ambiguity.
* Operational waste - overhead for deployment, upgrades, and incident recovery.
* Delivery waste - friction and delay in development, testing, and deployment.
* Product waste - misalignment to business value, detach from use cases, push driven development, vanity quality assurance.
We will primarily focus on technical solutions, but some of the waste mentioned requires organisational refactoring to eliminate.
Historic Opportunities: Discover the Power of Ignition's HistorianInductive Automation
The ability to store and query historical data easily and efficiently is vital to digital transformation. The Ignition Tag Historian Module has long provided a superb solution for this need and recent improvements have broadened the scope of what it can do. Is your organization harnessing the full power of historical data for a successful future?
Agile Data Warehouse Design for Big Data PresentationVishal Kumar
Synopsis:
[Video link: http://www.youtube.com/watch?v=ZNrTxSU5IQ0 ]
Jim Stagnitto and John DiPietro of consulting firm a2c) will discuss Agile Data Warehouse Design - a step-by-step method for data warehousing / business intelligence (DW/BI) professionals to better collect and translate business intelligence requirements into successful dimensional data warehouse designs.
The method utilizes BEAM✲ (Business Event Analysis and Modeling) - an agile approach to dimensional data modeling that can be used throughout analysis and design to improve productivity and communication between DW designers and BI stakeholders. BEAM✲ builds upon the body of mature "best practice" dimensional DW design techniques, and collects "just enough" non-technical business process information from BI stakeholders to allow the modeler to slot their business needs directly and simply into proven DW design patterns.
BEAM✲ encourages DW/BI designers to move away from the keyboard and their entity relationship modeling tools and begin "white board" modeling interactively with BI stakeholders. With the right guidance, BI stakeholders can and should model their own BI data requirements, so that they can fully understand and govern what they will be able to report on and analyze.
The BEAM✲ method is fully described in
Agile Data Warehouse Design - a text co-written by Lawrence Corr and Jim Stagnitto.
About the speaker:
Jim Stagnitto Director of a2c Data Services Practice
Data Warehouse Architect: specializing in powerful designs that extract the maximum business benefit from Intelligence and Insight investments.
Master Data Management (MDM) and Customer Data Integration (CDI) strategist and architect.
Data Warehousing, Data Quality, and Data Integration thought-leader: co-author with Lawrence Corr of "Agile Data Warehouse Design", guest author of Ralph Kimball’s “Data Warehouse Designer” column, and contributing author to Ralph and Joe Caserta's latest book: “The DW ETL Toolkit”.
John DiPietro Chief Technology Officer at A2C IT Consulting
John DiPietro is the Chief Technology Officer for a2c. Mr. DiPietro is responsible
for setting the vision, strategy, delivery, and methodologies for a2c’s Solution
Practice Offerings for all national accounts. The a2c CTO brings with him an
expansive depth and breadth of specialized skills in his field.
Sponsor Note:
Thanks to:
Microsoft NERD for providing awesome venue for the event.
http://A2C.com IT Consulting for providing the food/drinks.
http://Cognizeus.com for providing book to give away as raffle.
5 Success Factors for Gov. Digital TransformationAcquia
Digital transformation puts the customer at the center of everything. With the ability to increase innovation, scalability, and agility, digital transformation enhances customer experience and operational excellence. However, the implementation of these solutions can often stall due the inherent complexities of the government environment and ability to integrate new technology into existing business processes.
Join experts from CTAC and Acquia as we use real case studies from the Commodities Futures Trading Commision (CFTC) and General Services Administration (GSA) to discuss how Acquia and Drupal make the digital transformation easier.
In this webinar, we will discuss how leveraging Drupal 8 & Acquia solutions will improve:
- Customer Experience/Ease of Use (or Usability)
- User Centered Design
- Quick Iteration and Development
- Seamless integration with other systems
- Getting to ATO (Authorization to Operate)
ADV Slides: When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
Developer Console isn’t just for developers – it’s a great tool for admins too! The developer console is a highly useful tool for troubleshooting and data sleuthing. Take your Awesome Admin skills to the max by fully utilizing everything Salesforce has to offer. This session will cover the basics of troubleshooting with developer console, including how to leverage the debug log functionality and query editor capabilities. Developer skills are not required! Presented by 7x Certified Salesforce Consultant, Rachel Garton.
Learn how to identify needs in your support team; and look at how proactive and reactive support teams work together to prevent issues before they happen and get them to the right teams fast when they do. Our experts include iCIMS' Director of Technical Services, Kyle Young and Associate Director, Customer Success, Jenna McLaughlin.
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Who Does What, When, and How for a Divestiture?eprentise
Businesses that are going through a divestiture need to consider several key questions: What are we selling, and why? What data belongs to me, and how do I find it? As my business changes by the rules, how do I achieve agility? What are my options for divesting? This webinar will address potential business and IT issues affecting organizations that go through the divestiture process. The presentation will touch on key insights and outline approaches that can be used by both business and IT organizations to ensure success.
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Unlocking the Power of UiPath: A Journey into Document UnderstandingDianaGray10
Welcome to UiPath Document Understanding! In this program, you will embark on a thrilling journey into the world of intelligent automation and discover how UiPath can revolutionize your document processing workflows. Document understanding is a critical aspect of many industries, and UiPath offers powerful tools and capabilities to extract valuable insights from unstructured data with remarkable accuracy and efficiency.
Through your attendance, you will gain a deep understanding of UiPath Document Understanding, learning how to leverage its features to automate data extraction, classification, and analysis from various document types. You'll explore techniques such as optical character recognition (OCR), machine learning, and AI-driven document processing equipping you with the knowledge to tackle complex document challenges head-on. With real-life use cases, a practical demonstration, and best practices, you'll be empowered to unlock the full potential of UiPath Document Understanding and drive transformative outcomes for your organization. Get ready to embark on a transformative learning experience and unleash the power of UiPath in the world of document understanding!
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I will share the vision and the production journey of how we build enterprise shared AI As A Service platforms with distributed deep learning technologies. Including those topics:
1) The vision of Enterprise Shared AI As A Service and typical AI services use cases at FinTech industry
2) The high level architecture design principles for AI As A Service
3) The technical evaluation journey to choose an enterprise deep learning framework with comparisons, such as why we choose Deep learning framework based on Spark ecosystem
4) Share some production AI use cases, such as how we implemented new Users-Items Propensity Models with deep learning algorithms with Spark,improve the quality , performance and accuracy of offer and campaigns design, targeting offer matching and linking etc.
5) Share some experiences and tips of using deep learning technologies on top of Spark , such as how we conduct Intel BigDL into a real production.
Modern data processing environments resemble factory lines, transforming raw data to valuable data products. The lean principles that have successfully transformed manufacturing are equally applicable to data processing, and are well aligned with the new trend known as DataOps. In this presentation, we will explain how applying lean and DataOps principles can be implemented as technical data processing solutions and processes in order to eliminate waste and improve data innovation speed. We will go through how to eliminate the following types of waste in data processing systems:
* Cognitive waste - unclear source of truth, dependency sprawl, duplication, ambiguity.
* Operational waste - overhead for deployment, upgrades, and incident recovery.
* Delivery waste - friction and delay in development, testing, and deployment.
* Product waste - misalignment to business value, detach from use cases, push driven development, vanity quality assurance.
We will primarily focus on technical solutions, but some of the waste mentioned requires organisational refactoring to eliminate.
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Synopsis:
[Video link: http://www.youtube.com/watch?v=ZNrTxSU5IQ0 ]
Jim Stagnitto and John DiPietro of consulting firm a2c) will discuss Agile Data Warehouse Design - a step-by-step method for data warehousing / business intelligence (DW/BI) professionals to better collect and translate business intelligence requirements into successful dimensional data warehouse designs.
The method utilizes BEAM✲ (Business Event Analysis and Modeling) - an agile approach to dimensional data modeling that can be used throughout analysis and design to improve productivity and communication between DW designers and BI stakeholders. BEAM✲ builds upon the body of mature "best practice" dimensional DW design techniques, and collects "just enough" non-technical business process information from BI stakeholders to allow the modeler to slot their business needs directly and simply into proven DW design patterns.
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The BEAM✲ method is fully described in
Agile Data Warehouse Design - a text co-written by Lawrence Corr and Jim Stagnitto.
About the speaker:
Jim Stagnitto Director of a2c Data Services Practice
Data Warehouse Architect: specializing in powerful designs that extract the maximum business benefit from Intelligence and Insight investments.
Master Data Management (MDM) and Customer Data Integration (CDI) strategist and architect.
Data Warehousing, Data Quality, and Data Integration thought-leader: co-author with Lawrence Corr of "Agile Data Warehouse Design", guest author of Ralph Kimball’s “Data Warehouse Designer” column, and contributing author to Ralph and Joe Caserta's latest book: “The DW ETL Toolkit”.
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John DiPietro is the Chief Technology Officer for a2c. Mr. DiPietro is responsible
for setting the vision, strategy, delivery, and methodologies for a2c’s Solution
Practice Offerings for all national accounts. The a2c CTO brings with him an
expansive depth and breadth of specialized skills in his field.
Sponsor Note:
Thanks to:
Microsoft NERD for providing awesome venue for the event.
http://A2C.com IT Consulting for providing the food/drinks.
http://Cognizeus.com for providing book to give away as raffle.
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Digital transformation puts the customer at the center of everything. With the ability to increase innovation, scalability, and agility, digital transformation enhances customer experience and operational excellence. However, the implementation of these solutions can often stall due the inherent complexities of the government environment and ability to integrate new technology into existing business processes.
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- Seamless integration with other systems
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The Salesforce NJ User Group meeting on 4/30/2014 at Internet Creations headquarters in Hamilton, NJ. Co-Founder of Cirrus Insight, Brandon Bruce, gave a presentation on integrating Salesforce with Gmail.
Join the official Salesforce NJ Success Community Chatter Group: http://ic.force.com/njusergroup
Customer Service in Salesforce: Managing Cases EffectivelyInternetCreations
Presentation slides from the PhillyForce meetup on 12/11/2013. Chad Meyer from Internet Creations discussed best practices for running a highly efficient support operation and previewed 5 apps to be more productive with Cases.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
6 ways to uphold your Support Department's SLA in Salesforce
1. @icsfdc
6 Ways to uphold your
Support Department’s SLA in
Salesforce
February 26, 2013
www.InternetCreations.com
2.
3. @icsfdc
Agenda
1. Standard Automation
2. Workflow
3. Escalation Rules
4. Case Flags
5. Hoopla (New Addition!)
6. Entitlements and Milestones
7. Reports and Dashboards
www.InternetCreations.com
4. @icsfdc
1. Standard Automation
○ Auto-Responses - Set expectations with your
customers.
○ Entitlement on Related List or Account
○ Assignment Rules
○ Distribute Cases to the appropriate Queue
○ Support Settings
○ Send notification emails to the appropriate
parties to maintain expectations
www.InternetCreations.com
5. @icsfdc
2. Workflow
○ Workflow Rules can change Case Status
based upon inbound and outbound Case
Comment (for Portals) or Emails (Email to
Case)
○ Time-Based Email Alerts and Field Updates
on Inbound Email Message (or new
customer comments)
www.InternetCreations.com
6. @icsfdc
3. Escalation Rules
○ Measure time based on
○ Age since opened
○ Age since last modified
○ Filter on
○ Entitlements (eg. Basic vs Premium
Support)
○ Case Priority
○ Account fields (eg. Critical Account)
www.InternetCreations.com
7. @icsfdc
4. Case Flags
○ Measure "Initial Response" (even in business hours)
○ Prioritize Cases needing attention
○ Eliminate case neglect
8. @icsfdc
5. Hoopla
○ Display virtually any Salesforce data on a
big screen TV, for all to see
○ We display "Cases
Needing Attention"
○ Display KPIs like Initial
Response and
Leaderboards for CSat
9. @icsfdc
6. Entitlements and Milestones
○ Working with Entitlements and
Milestones
○ Assets / Contracts/ Licenses
www.InternetCreations.com
10. @icsfdc
7. Reporting
○ First Response Time (Workflow
without Business Hours or Case
Flags with Business Hours)
○ Case Age
○ CSat Survey
www.InternetCreations.com