Mr Nati Shalom, Founder and CTO of GigaSpaces
Nati is responsible for defining the technology roadmap and the direction of GigaSpaces products as they relate to standards adaptations, architecture, and product design.
He has more than 10 years of experience with distributed technology and architecture namely CORBA, Jini, J2EE, Grid and SOA. He has been working for the past ten years with some of the leading Israeli companies, such as ECI, Comverse, BMC, Elisra, Rafael, and Amdocs. He has led the development of the first Reverse BID exchange in the Israeli Yellow Pages. He previously worked with IONA, and was responsible for the penetration of their products and technology, to most of the leading ISV's in Israel.
As the Head of the Israeli Grid consortium, Mr. Shalom is recognized as a software visionary and industry leader, he is a frequent presenter at industry conferences and is actively involved in evangelizing Space Based Architecture, Data Grid patterns, and Cloud Computing.
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Topic - Getting Ready for the Cloud – Technology
In this session Nati will describe what is the latest developments in the industry on cloud computing, and where he feels this will be going. He will also share his experience on how to design and deploy enterprise applications in a cloud/grid computing platform, what to take into account while developing or deploying applications on the cloud, and demonstrate how to transition applications to run on the Cloud without needing to completely re-architect them. Standard Application Servers as we've known them only partially address enterprises' needs for scalability. As a result, a new class of application servers has emerged, focused on massive scalability. In this session, we will explore some of the common characteristics of these servers while looking at how to migrate an existing Java EE web app to a scale-out application server, relatively seamlessly.
Included is a 10-minute demo on turning an existing tier-based application into a tierless scaled out application running on the Amazon EC2 Cloud. In this live demo session, we will also use the cloud-based environment to demonstrate how you can add dynamic scaling, self healing and improved performance with almost no changes to your code.
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
Performance Considerations in Logical Data WarehouseDenodo
Watch the live presentation on-demand here: https://goo.gl/6RsqrA
When processing very large amounts of data at the speed of thought, performance questions raise their ugly head. Logical data warehouse architectures rival the conventional data warehouses in speed while reducing the need to extract, transform, and load the data.
Watch this Denodo DataFest 2017 session to discover:
• The perks of a logical data warehouse vs. the physical data warehouse.
• Challenging the myths of performance of a logical data warehouse.
• Denodo's dynamic query optimizer tool.
The RNC recently tackled a massive data migration that will help them scale tremendously to support national campaigns at every level of government. Convergence Consulting Group supported the RNC in migrating their data from legacy on prem. systems to a Microsoft Azure Cloud data warehouse. The RNC and its partners can now utilize Microsoft Power BI to expose the data from anywhere with a few simple clicks. See some examples of recent polling data in the presentation. Questions? Contact us at (813) 265-3239.
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
Performance Considerations in Logical Data WarehouseDenodo
Watch the live presentation on-demand here: https://goo.gl/6RsqrA
When processing very large amounts of data at the speed of thought, performance questions raise their ugly head. Logical data warehouse architectures rival the conventional data warehouses in speed while reducing the need to extract, transform, and load the data.
Watch this Denodo DataFest 2017 session to discover:
• The perks of a logical data warehouse vs. the physical data warehouse.
• Challenging the myths of performance of a logical data warehouse.
• Denodo's dynamic query optimizer tool.
The RNC recently tackled a massive data migration that will help them scale tremendously to support national campaigns at every level of government. Convergence Consulting Group supported the RNC in migrating their data from legacy on prem. systems to a Microsoft Azure Cloud data warehouse. The RNC and its partners can now utilize Microsoft Power BI to expose the data from anywhere with a few simple clicks. See some examples of recent polling data in the presentation. Questions? Contact us at (813) 265-3239.
Data Warehousing Trends, Best Practices, and Future OutlookJames Serra
Over the last decade, the 3Vs of data - Volume, Velocity & Variety has grown massively. The Big Data revolution has completely changed the way companies collect, analyze & store data. Advancements in cloud-based data warehousing technologies have empowered companies to fully leverage big data without heavy investments both in terms of time and resources. But, that doesn’t mean building and managing a cloud data warehouse isn’t accompanied by any challenges. From deciding on a service provider to the design architecture, deploying a data warehouse tailored to your business needs is a strenuous undertaking. Looking to deploy a data warehouse to scale your company’s data infrastructure or still on the fence? In this presentation you will gain insights into the current Data Warehousing trends, best practices, and future outlook. Learn how to build your data warehouse with the help of real-life use-cases and discussion on commonly faced challenges. In this session you will learn:
- Choosing the best solution - Data Lake vs. Data Warehouse vs. Data Mart
- Choosing the best Data Warehouse design methodologies: Data Vault vs. Kimball vs. Inmon
- Step by step approach to building an effective data warehouse architecture
- Common reasons for the failure of data warehouse implementations and how to avoid them
Building an Effective Data Warehouse ArchitectureJames Serra
Why use a data warehouse? What is the best methodology to use when creating a data warehouse? Should I use a normalized or dimensional approach? What is the difference between the Kimball and Inmon methodologies? Does the new Tabular model in SQL Server 2012 change things? What is the difference between a data warehouse and a data mart? Is there hardware that is optimized for a data warehouse? What if I have a ton of data? During this session James will help you to answer these questions.
Are you exploring the transition to becoming a cloud broker? Establishing cloud business practices and marketing is one of the most overlooked areas by enterprise IT professionals. This session explores the role marketing and the 4 Ps - Product, Price, Promotion, and Placement - play in multi-cloud and cloud brokerage. Don’t let your technical success die on the vine without exposure!aka the 4 Ps of Multi-cloud
Denodo DataFest 2017: Lowering IT Costs with Big Data and Cloud ModernizationDenodo
Watch the live presentation on-demand now: https://goo.gl/QanW35
Organizations are fast adapting cloud to lower the IT costs, and increase agility.
Watch this Denodo DataFest 2017 session to discover:
• How Logitech migrated their on-premise data warehouse and big data systems to the cloud and minimizing costs and immensely improved their time-to-market.
• The four main challenges Logitech faced when moving their data to the cloud.
• The benefits of adding a data virtualization layer to your data architecure.
Google take on heterogeneous data base replication Svetlin Stanchev
Datastream from Google is a serverless change data capture and replication service. This allows organizations to replicate data across multiple databases, storage systems and is especially useful for replicating OLTP data in MySQL into an OLAP database such as BigQuery. This talk walks through setting up connection profiles, streams and touch on some useful debugging if things don't go as planned
Implement Big Data Testing in Order to Successfully Generate Analytics. This Blog is ideal for software testers and anyone else who wants to understand big data testing.
In this presentation, we:
1. Look at the challenges and opportunities of the data era
2. Look at key challenges of the legacy data warehouses such as data diversity, complexity, cost, scalabilily, performance, management, ...
3. Look at how modern data warehouses in the cloud not only overcome most of these challenges but also how some of them bring additional technical innovations and capabilities such as pay as you go cloud-based services, decoupling of storage and compute, scaling up or down, effortless management, native support of semi-structured data ...
4. Show how capabilities brought by modern data warehouses in the cloud, help businesses, either new or existing ones, during the phases of their lifecycle such as launch, growth, maturity and renewal/decline.
5. Share a Near-Real-Time Data Warehousing use case built on Snowflake and give a live demo to showcase ease of use, fast provisioning, continuous data ingestion, support of JSON data ...
Databricks Whitelabel: Making Petabyte Scale Data Consumable to All Our Custo...Databricks
Wejo has largest connected vehicle data set in the world, processing 17bn data points a day. Our data is of value to customers in multiple industries and to customers of multiple sizes. By utilising the Databricks whitelable offering allowing controlled, secure access to our data, we have opened up the unique value of Wejo data to a whole new user base.
Data Engineer, Patterns & Architecture The future: Deep-dive into Microservic...Igor De Souza
With Industry 4.0, several technologies are used to have data analysis in real-time, maintaining, organizing, and building this on the other hand is a complex and complicated job. Over the past 30 years, we saw several ideas to centralize the database in a single place as the united and true source of data has been implemented in companies, such as Data wareHouse, NoSQL, Data Lake, Lambda & Kappa Architecture.
On the other hand, Software Engineering has been applying ideas to separate applications to facilitate and improve application performance, such as microservices.
The idea is to use the MicroService patterns on the date and divide the model into several smaller ones. And a good way to split it up is to use the model using the DDD principles. And that's how I try to explain and define DataMesh & Data Fabric.
We present our solution for building an AI Architecture that provides engineering teams the ability to leverage data to drive insight and help our customers solve their problems. We started with siloed data, entities that were described differently by each product, different formats, complicated security and access schemes, data spread over numerous locations and systems.
O'Reilly ebook: Operationalizing the Data LakeVasu S
Best practices for building a cloud data lake operation—from people and tools to processes
https://www.qubole.com/resources/ebooks/ebook-operationalizing-the-data-lake
Building a Modern Data Architecture by Ben Sharma at Strata + Hadoop World Sa...Zaloni
When building your data stack, the architecture could be your biggest challenge. Yet it could also be the best predictor for success. With so many elements to consider and no proven playbook, where do you begin to assemble best practices for a scalable data architecture? Ben Sharma, thought leader and coauthor of Architecting Data Lakes, offers lessons learned from the field to get you started.
Presentation on Data Mesh: The paradigm shift is a new type of eco-system architecture, which is a shift left towards a modern distributed architecture in which it allows domain-specific data and views “data-as-a-product,” enabling each domain to handle its own data pipelines.
Data Warehousing Trends, Best Practices, and Future OutlookJames Serra
Over the last decade, the 3Vs of data - Volume, Velocity & Variety has grown massively. The Big Data revolution has completely changed the way companies collect, analyze & store data. Advancements in cloud-based data warehousing technologies have empowered companies to fully leverage big data without heavy investments both in terms of time and resources. But, that doesn’t mean building and managing a cloud data warehouse isn’t accompanied by any challenges. From deciding on a service provider to the design architecture, deploying a data warehouse tailored to your business needs is a strenuous undertaking. Looking to deploy a data warehouse to scale your company’s data infrastructure or still on the fence? In this presentation you will gain insights into the current Data Warehousing trends, best practices, and future outlook. Learn how to build your data warehouse with the help of real-life use-cases and discussion on commonly faced challenges. In this session you will learn:
- Choosing the best solution - Data Lake vs. Data Warehouse vs. Data Mart
- Choosing the best Data Warehouse design methodologies: Data Vault vs. Kimball vs. Inmon
- Step by step approach to building an effective data warehouse architecture
- Common reasons for the failure of data warehouse implementations and how to avoid them
Building an Effective Data Warehouse ArchitectureJames Serra
Why use a data warehouse? What is the best methodology to use when creating a data warehouse? Should I use a normalized or dimensional approach? What is the difference between the Kimball and Inmon methodologies? Does the new Tabular model in SQL Server 2012 change things? What is the difference between a data warehouse and a data mart? Is there hardware that is optimized for a data warehouse? What if I have a ton of data? During this session James will help you to answer these questions.
Are you exploring the transition to becoming a cloud broker? Establishing cloud business practices and marketing is one of the most overlooked areas by enterprise IT professionals. This session explores the role marketing and the 4 Ps - Product, Price, Promotion, and Placement - play in multi-cloud and cloud brokerage. Don’t let your technical success die on the vine without exposure!aka the 4 Ps of Multi-cloud
Denodo DataFest 2017: Lowering IT Costs with Big Data and Cloud ModernizationDenodo
Watch the live presentation on-demand now: https://goo.gl/QanW35
Organizations are fast adapting cloud to lower the IT costs, and increase agility.
Watch this Denodo DataFest 2017 session to discover:
• How Logitech migrated their on-premise data warehouse and big data systems to the cloud and minimizing costs and immensely improved their time-to-market.
• The four main challenges Logitech faced when moving their data to the cloud.
• The benefits of adding a data virtualization layer to your data architecure.
Google take on heterogeneous data base replication Svetlin Stanchev
Datastream from Google is a serverless change data capture and replication service. This allows organizations to replicate data across multiple databases, storage systems and is especially useful for replicating OLTP data in MySQL into an OLAP database such as BigQuery. This talk walks through setting up connection profiles, streams and touch on some useful debugging if things don't go as planned
Implement Big Data Testing in Order to Successfully Generate Analytics. This Blog is ideal for software testers and anyone else who wants to understand big data testing.
In this presentation, we:
1. Look at the challenges and opportunities of the data era
2. Look at key challenges of the legacy data warehouses such as data diversity, complexity, cost, scalabilily, performance, management, ...
3. Look at how modern data warehouses in the cloud not only overcome most of these challenges but also how some of them bring additional technical innovations and capabilities such as pay as you go cloud-based services, decoupling of storage and compute, scaling up or down, effortless management, native support of semi-structured data ...
4. Show how capabilities brought by modern data warehouses in the cloud, help businesses, either new or existing ones, during the phases of their lifecycle such as launch, growth, maturity and renewal/decline.
5. Share a Near-Real-Time Data Warehousing use case built on Snowflake and give a live demo to showcase ease of use, fast provisioning, continuous data ingestion, support of JSON data ...
Databricks Whitelabel: Making Petabyte Scale Data Consumable to All Our Custo...Databricks
Wejo has largest connected vehicle data set in the world, processing 17bn data points a day. Our data is of value to customers in multiple industries and to customers of multiple sizes. By utilising the Databricks whitelable offering allowing controlled, secure access to our data, we have opened up the unique value of Wejo data to a whole new user base.
Data Engineer, Patterns & Architecture The future: Deep-dive into Microservic...Igor De Souza
With Industry 4.0, several technologies are used to have data analysis in real-time, maintaining, organizing, and building this on the other hand is a complex and complicated job. Over the past 30 years, we saw several ideas to centralize the database in a single place as the united and true source of data has been implemented in companies, such as Data wareHouse, NoSQL, Data Lake, Lambda & Kappa Architecture.
On the other hand, Software Engineering has been applying ideas to separate applications to facilitate and improve application performance, such as microservices.
The idea is to use the MicroService patterns on the date and divide the model into several smaller ones. And a good way to split it up is to use the model using the DDD principles. And that's how I try to explain and define DataMesh & Data Fabric.
We present our solution for building an AI Architecture that provides engineering teams the ability to leverage data to drive insight and help our customers solve their problems. We started with siloed data, entities that were described differently by each product, different formats, complicated security and access schemes, data spread over numerous locations and systems.
O'Reilly ebook: Operationalizing the Data LakeVasu S
Best practices for building a cloud data lake operation—from people and tools to processes
https://www.qubole.com/resources/ebooks/ebook-operationalizing-the-data-lake
Building a Modern Data Architecture by Ben Sharma at Strata + Hadoop World Sa...Zaloni
When building your data stack, the architecture could be your biggest challenge. Yet it could also be the best predictor for success. With so many elements to consider and no proven playbook, where do you begin to assemble best practices for a scalable data architecture? Ben Sharma, thought leader and coauthor of Architecting Data Lakes, offers lessons learned from the field to get you started.
Presentation on Data Mesh: The paradigm shift is a new type of eco-system architecture, which is a shift left towards a modern distributed architecture in which it allows domain-specific data and views “data-as-a-product,” enabling each domain to handle its own data pipelines.
This is a self-made presentation about The Big Bang Theory (NOT the TV show :P) to be given to a lecturer and students of University level. Intended for all those to download who may have presentations to give and can't find a good enough topic :). Everyone else is free to download it for other purposes as well!!
Cloud Computing Realities - Getting past the hype and setting your cloud stra...Compuware APM
Companies are increasingly demanding that Web applications "move to the cloud" to reign in IT costs, reduce server sprawl and perhaps most importantly, help to ensure that your infrastructure is tuned to deliver an exceptional end-user experience for your customers. The challenge is to reap those benefits while ensuring top performance, keeping IT operations and development on the same page, and delivering enterprise level capabilities and scalability.
Join 3 cloud computing experts Forrester Principal Analyst, James Staten; Savvis’ Chief Technology Officer, Bryan Doerr; and Gomez’s Chief Technology Officer, Imad Mouline as they discuss the cloud landscape, application performance in the cloud and successful cloud adoption strategies.
What you will learn:
* How to determine which applications are best suited for cloud deployments
* A game plan for cloud adoption for the next 90 days and beyond
* How to use Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) delivery models to test more efficiently and better leverage internal computing resources
* Which techniques can improve your lifecycle management of cloud based applications
* Best practices to ensure optimum end-user performance of your cloud environment
Deploying SaaS Application on the Cloud - Case StudyNati Shalom
This presentation provides a case study on how to overcome some of the challenges involved in deploying a SaaS application on the cloud using GigaSpaces. In this specific case were referring to a risk analysis application (Primatics) and describe how we've dealt with multi tenancy, high availability, scalability and how we were able to optimize the architecture for reduced cost.
The presentation was given during the cloud connect 2010 conference.
Cloud computing adoption in sap technologiessveldanda
Cloud computing is emerging as an exciting trend in the ICT and with this presentation we tried to explore opportunities of adopting Cloud computing in SAP Technologies
Offre Cloud IBM Software [Rational] - Atelier - Forum SaaS et Cloud IBM - Clu...Club Alliances
Présentation préparée par Michel Speranski [IBM Software - Rational] dans le cadre du Forum SaaS et Cloud IBM [5 février 2010], organisé par le Club Alliances
The Fast Path to Building a Private Cloud (With Guest Speaker from Forrester ...RightScale
RightScale Webinar: While the concept of the private cloud is still fairly new to the world of IT, there’s more pressure every day for IT teams to create and start testing private clouds in their organizations. In this webinar, James Staten will outline the top features an organization should look for in a private cloud and the suggested fastest path to starting an initiative. Michael Crandell will then illustrate how setting up a private cloud for proof-of-concept and testing can be done quickly and for free so that organizations can kick-start their efforts to developing the appropriate private cloud for their needs.
Overview of Cloud Computing and the Potential Business Impactguest964352
This session will provide an understanding of cloud computing and will outline the advantages and potential pitfalls in these services including TCO, ROI, Service Outage strategies and data backup strategies for critical data. LBi experts will help explain industry definitions and differentiations between competing technologies and concepts. Using our own LBi Cloud Computing implementations, LBi will provide examples of applications and scenarios that are reflective of the current state of the industry and future directions. We will survey existing applications and services and provide a glossary of terms to assist in evaluating cloud computing in an environment.
Similar to GigaSpaces - Getting Ready For The Cloud (20)
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.
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
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.
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.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
16. Application Platform as a Service (Gartner) Need a new type of application server XTP — Extreme Transaction Processing MT — Multitenancy Application Platform as a Service (APaaS) Hardware Grid System Infrastructure SaaS-Enabled Application Platform AppDev AppServer XTP MT Business Data Metadata SaaS-Enabled Business Application Tenant App. View Users Tenant App. View Tenant App. View Users Users Business Application as a Service Application Provider User Organizations Platform Supplier Host
Thanks to Massimo for the very informative presentation of the technology roadmap that awaits us. With your permission – I’d like to spend the next few minutes talking about 2 things: How we at GS see the change that our industry is going through (and no - I’m not referring to the sub-prime crisis...), How we are responding to it.
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