Concept Computing takes semantic web technology to the next level, where everything is semantic and model-driven -- data, decisions, processes, user experience and infrastructure. Be Informed is a poster child for concept computing that is mainstream, enterprise class, and ready for prime time.
Concept computing is the next paradigm for Internet and enterprise software. Concept computing is a:
-- Paradigm shift from information-centric to knowledge-driven patterns of computing.
-- Spectrum of knowledge representation, from search to knowing.
-- Synthesis of AI, semantic, model-driven, mobile, and User interface technologies.
-- Solution Architecture where every aspect of computing is semantic and directly model-driven.
-- Development methodology where Every stage of the solution lifecycle becomes semantic, model-driven & super-productive.
-- New domain where value multiplies.
Next generation semantic technologies help individuals and businesses develop semantic superpowers. That is how we break the chains of legacy systems, free resources from maintenance, and innovate the new capabilities we need to thrive in the next Internet. Learn what semantic superpowers can do for you.
Web3 And The Next Internet - New Directions And Opportunities For STM PublishingMills Davis
The new ecosystem for scientific, technical, and medical (STM) publishing is digital, trans-semiotic, data and knowledge intensive, social, connected, collaborative, community-driven, mobile, multi-channel, immersive, and massively networked and computational.
In this era of open, co-evolving, networked techno-socio-economic processes, commercial publishing models based on exclusive literature collections are simply not enough.
By understanding changes coming with Web 3.0 and the next internet, STM publishers can identify new roles and profitable business opportunities.
Impact of semantic technologies on scholarly publishingMills Davis
Semantic technologies will impact future business models for scholarly publishing.
First stage was the transition from publishing based on analog artifacts, to processes built for digital documents where computers are used as electronic pencils and XML based indices.
Second stage is semantic metadata where the computer is used to describe the published content in multiple ways -- think of it as a cambrian explosion of post-it notes -- and also the description and linking together of previously disparate sources. Data and content archives move beyond XML to description logic based semantic web standards which facilitate connect across media formats, documents, domains, and across archives leading to the need for community curation. Business models are still uncertain, being based on access and delivery of content for which alternatives are economically attractive.
Third stage is publishing based on (executable) knowledge-as-a-service. More than documents, more than passive semantic description, knowledge that is expressed through content, methods, data, and processes becomes modeled, managed, and enmeshed with research processes and processes which use the results of research. In this era, publishers with dominant positions in theory will find viable business models that trump competitors.
MODERNIZING YOUR WORKPLACE WITH THE NEW OFFICEMicrosoft India
By combining the use of PCs, smartphones and tablets with increased internet connectivity, bandwidth and the Cloud, people are able to work more flexibly than ever before. Learn about the modernization of your workspace with the power of the new Office from this whitepaper.
Follow @ModernBizIn for tips to make your business more productive, agile and highly responsive.
IBM Academy of Technology & Cognitive ComputingNico Chillemi
I delivered this presentation at University at Chieti-Pescara in Abruzzo (Italy) in September 2015, introducing IBM Academy of Technology and talking about Cognitiva Computing and Analytics with IBM Watson and IBM IT Operations Analytics Log Analysis (ITOA). The video in Italian is available on YouTube, please contact me if you are interested. Thanks to Amanda Tenedini for the help with Social Media and to Piero Leo for the help with IBM Watson.
Concept computing is the next paradigm for Internet and enterprise software. Concept computing is a:
-- Paradigm shift from information-centric to knowledge-driven patterns of computing.
-- Spectrum of knowledge representation, from search to knowing.
-- Synthesis of AI, semantic, model-driven, mobile, and User interface technologies.
-- Solution Architecture where every aspect of computing is semantic and directly model-driven.
-- Development methodology where Every stage of the solution lifecycle becomes semantic, model-driven & super-productive.
-- New domain where value multiplies.
Next generation semantic technologies help individuals and businesses develop semantic superpowers. That is how we break the chains of legacy systems, free resources from maintenance, and innovate the new capabilities we need to thrive in the next Internet. Learn what semantic superpowers can do for you.
Web3 And The Next Internet - New Directions And Opportunities For STM PublishingMills Davis
The new ecosystem for scientific, technical, and medical (STM) publishing is digital, trans-semiotic, data and knowledge intensive, social, connected, collaborative, community-driven, mobile, multi-channel, immersive, and massively networked and computational.
In this era of open, co-evolving, networked techno-socio-economic processes, commercial publishing models based on exclusive literature collections are simply not enough.
By understanding changes coming with Web 3.0 and the next internet, STM publishers can identify new roles and profitable business opportunities.
Impact of semantic technologies on scholarly publishingMills Davis
Semantic technologies will impact future business models for scholarly publishing.
First stage was the transition from publishing based on analog artifacts, to processes built for digital documents where computers are used as electronic pencils and XML based indices.
Second stage is semantic metadata where the computer is used to describe the published content in multiple ways -- think of it as a cambrian explosion of post-it notes -- and also the description and linking together of previously disparate sources. Data and content archives move beyond XML to description logic based semantic web standards which facilitate connect across media formats, documents, domains, and across archives leading to the need for community curation. Business models are still uncertain, being based on access and delivery of content for which alternatives are economically attractive.
Third stage is publishing based on (executable) knowledge-as-a-service. More than documents, more than passive semantic description, knowledge that is expressed through content, methods, data, and processes becomes modeled, managed, and enmeshed with research processes and processes which use the results of research. In this era, publishers with dominant positions in theory will find viable business models that trump competitors.
MODERNIZING YOUR WORKPLACE WITH THE NEW OFFICEMicrosoft India
By combining the use of PCs, smartphones and tablets with increased internet connectivity, bandwidth and the Cloud, people are able to work more flexibly than ever before. Learn about the modernization of your workspace with the power of the new Office from this whitepaper.
Follow @ModernBizIn for tips to make your business more productive, agile and highly responsive.
IBM Academy of Technology & Cognitive ComputingNico Chillemi
I delivered this presentation at University at Chieti-Pescara in Abruzzo (Italy) in September 2015, introducing IBM Academy of Technology and talking about Cognitiva Computing and Analytics with IBM Watson and IBM IT Operations Analytics Log Analysis (ITOA). The video in Italian is available on YouTube, please contact me if you are interested. Thanks to Amanda Tenedini for the help with Social Media and to Piero Leo for the help with IBM Watson.
SmartData Webinar: Cognitive Computing in the Mobile App EconomyDATAVERSITY
Mobility is transforming work and life throughout the planet. Mobile apps--built for a growing range of handhelds, wearables, Internet of Things, and other platforms--are becoming the universal access paths to commerce, content, and community in the 21st century. The app economy refers to this new world where every decision, action, exploration, and experience is continuously enriched and optimized through the cloud-served apps that accompany you everywhere. In this webinar, James Kobielus, IBM's Big Data Evangelist, will discuss the potential of cognitive computing to super-power the emerging app economy. In addition to providing an overview of IBM's Watson strategy for cognitive computing, Kobielus will go in-depth on IBM's strategic partnership with Apple to draw on the strengths of each company to transform enterprise mobility through a new class of apps that leverage IBM’s Watson-based big data analytics cloud and add value to Apple's iPhone and iPad platforms in diverse industries.
Introduction to Human Computer Interface (HCI)Edneil Jocusol
This topic is based on the article published by Whitworth and Ahmad in Interaction-Design. It covers topics such as Evolution of Computing Systems, Computing Level (in terms of Mechanical, Informational, Psychological, and Socio-Technical Systems), Human Physiological Needs, and Design Level Combination.
Three Generations of Citrix CEOs: Enabling a Better Way to WorkDana Gardner
Transcript of a discussion on how Citrix is building on its 30-year record of success by remaking digital workplaces and redefining the very nature of applications and business intelligence.
Consumidores Digitais: The Executive's Guide to the Internet of Things (ZD Net)Consumidores Digitais
A Internet das Coisas, ou Machine-to-Machine (M2M), é um dos temas mais atuais na tecnologia. Neste guia está o que os líderes empresariais precisam saber para potencializar seus benefícios.
Design After the Rise of AI-Driven ServicesJoana Cerejo
Technology is playing a significant role in shaping the future of design. We are moving fast into a digital era where Artificial Intelligence, Machine Learning, Deep Learning, Big Data, the Internet of Things, Blockchain, Spatial Computing, and several other technologies are becoming part of the designers’ lexicon. The designers’ roles are evolving, and the touchpoints they need to consider are growing in complexity. Integrating AI developments with User-centered Design and User Experience Design is becoming a challenging task.
Hardware/Software Interoperability and Single Point Vulnerability Problems of...BRNSS Publication Hub
As reiterated by many authors, internet of things (IoT) is the network of physical devices, vehicles, home appliances, and other items embedded with electronics, software, sensors, actuators, and connectivity which enables these things to connect and exchange data, creating opportunities for more direct integration of the physical world into computer-based systems, resulting in efficiency improvements, economic benefits, and reduced human exertions. This is made possible by the communications models with the enabling technologies which make communications possible among IoT connected devices, although, with drawbacks. These drawbacks are the major reasons for adoption problems of IoT services by the society. This paper carried out an investigative study on previous works on the societal applications and adoption problems of IoT, IoT communications models, and pros and cons of IoT. Through the study, it was revealed that for IoT devices and services to be widely adopted with no or minimal problems, future IoT technology will not only address the known drawbacks but also will require hardware and software components that are highly interoperable, dependable, reconfigurable, and, in many applications, certifiable.
Billions of computers that can sense and communicate from anywhere are coming online. What will it mean for business?
MIT TECHNOLOGY REVIEW
JULY/AUGUST 2014
Gene Villeneuve - Moving from descriptive to cognitive analyticsIBM Sverige
As the scope of big data rapidly expands, so does the scope of the analytics that are necessary to extract insight from that data. It is simply impossible for humans or indeed rules-based engines to take that information to action. More and more, clients need analytics to make the best decisions possible; or better yet, embed those analytics into processes to automate the decision-making process, which they simply the answers based on the questions being asked at the point of impact. In order to address these rapidly evolving needs, we need to ensure the right analytics capability are deployed to suit each situation, each point of interaction and each decision point within a process. Join this session, and learn how IBM can provide a solution for the varying types of analytics: from descriptive to predictive to prescriptive to cognitive.
Ibm cognitive business_strategy_presentationdiannepatricia
IBM Cognitive Business Strategy presentation. Presented by Dianne Fodell and Jim Spohrer at the Cognitive Systems Institute Group Speaker Series call on October 8, 2015.
SmartData Webinar: Cognitive Computing in the Mobile App EconomyDATAVERSITY
Mobility is transforming work and life throughout the planet. Mobile apps--built for a growing range of handhelds, wearables, Internet of Things, and other platforms--are becoming the universal access paths to commerce, content, and community in the 21st century. The app economy refers to this new world where every decision, action, exploration, and experience is continuously enriched and optimized through the cloud-served apps that accompany you everywhere. In this webinar, James Kobielus, IBM's Big Data Evangelist, will discuss the potential of cognitive computing to super-power the emerging app economy. In addition to providing an overview of IBM's Watson strategy for cognitive computing, Kobielus will go in-depth on IBM's strategic partnership with Apple to draw on the strengths of each company to transform enterprise mobility through a new class of apps that leverage IBM’s Watson-based big data analytics cloud and add value to Apple's iPhone and iPad platforms in diverse industries.
Introduction to Human Computer Interface (HCI)Edneil Jocusol
This topic is based on the article published by Whitworth and Ahmad in Interaction-Design. It covers topics such as Evolution of Computing Systems, Computing Level (in terms of Mechanical, Informational, Psychological, and Socio-Technical Systems), Human Physiological Needs, and Design Level Combination.
Three Generations of Citrix CEOs: Enabling a Better Way to WorkDana Gardner
Transcript of a discussion on how Citrix is building on its 30-year record of success by remaking digital workplaces and redefining the very nature of applications and business intelligence.
Consumidores Digitais: The Executive's Guide to the Internet of Things (ZD Net)Consumidores Digitais
A Internet das Coisas, ou Machine-to-Machine (M2M), é um dos temas mais atuais na tecnologia. Neste guia está o que os líderes empresariais precisam saber para potencializar seus benefícios.
Design After the Rise of AI-Driven ServicesJoana Cerejo
Technology is playing a significant role in shaping the future of design. We are moving fast into a digital era where Artificial Intelligence, Machine Learning, Deep Learning, Big Data, the Internet of Things, Blockchain, Spatial Computing, and several other technologies are becoming part of the designers’ lexicon. The designers’ roles are evolving, and the touchpoints they need to consider are growing in complexity. Integrating AI developments with User-centered Design and User Experience Design is becoming a challenging task.
Hardware/Software Interoperability and Single Point Vulnerability Problems of...BRNSS Publication Hub
As reiterated by many authors, internet of things (IoT) is the network of physical devices, vehicles, home appliances, and other items embedded with electronics, software, sensors, actuators, and connectivity which enables these things to connect and exchange data, creating opportunities for more direct integration of the physical world into computer-based systems, resulting in efficiency improvements, economic benefits, and reduced human exertions. This is made possible by the communications models with the enabling technologies which make communications possible among IoT connected devices, although, with drawbacks. These drawbacks are the major reasons for adoption problems of IoT services by the society. This paper carried out an investigative study on previous works on the societal applications and adoption problems of IoT, IoT communications models, and pros and cons of IoT. Through the study, it was revealed that for IoT devices and services to be widely adopted with no or minimal problems, future IoT technology will not only address the known drawbacks but also will require hardware and software components that are highly interoperable, dependable, reconfigurable, and, in many applications, certifiable.
Billions of computers that can sense and communicate from anywhere are coming online. What will it mean for business?
MIT TECHNOLOGY REVIEW
JULY/AUGUST 2014
Gene Villeneuve - Moving from descriptive to cognitive analyticsIBM Sverige
As the scope of big data rapidly expands, so does the scope of the analytics that are necessary to extract insight from that data. It is simply impossible for humans or indeed rules-based engines to take that information to action. More and more, clients need analytics to make the best decisions possible; or better yet, embed those analytics into processes to automate the decision-making process, which they simply the answers based on the questions being asked at the point of impact. In order to address these rapidly evolving needs, we need to ensure the right analytics capability are deployed to suit each situation, each point of interaction and each decision point within a process. Join this session, and learn how IBM can provide a solution for the varying types of analytics: from descriptive to predictive to prescriptive to cognitive.
Ibm cognitive business_strategy_presentationdiannepatricia
IBM Cognitive Business Strategy presentation. Presented by Dianne Fodell and Jim Spohrer at the Cognitive Systems Institute Group Speaker Series call on October 8, 2015.
Visionary business systems architect, designer & developer solves complex problems. Maximizes ROI by implementing technology-driven solutions. World-renowned as a Security Information & Event Management (SIEM) authority.
• Intelligent objects introduce a new vision for strengthening communication, relationship and business. Each system must be able to communicate with humans and non humans and its capabilities bring scalability, adaptability, flexibility and greater efficiency.
• IoT generates a big growth of complexity and a new method is necessary to correctly design app.
• We have developed on the field the method Here&Now to permit to manage contextual, liquid, intelligent and connected applications. This means designing software with a level of new cognitive artificial intelligence able to deploy applications that have a level of understanding depending on context; it learns from events and have some level of autonomy with respect to routine activities.
This is the first webinar about an IoT design method that we have created during these months.
• Intelligent objects introduce a new vision for strengthening communication, relationship and business. Each system must be able to communicate with humans and non humans and its capabilities bring scalability, adaptability, flexibility and greater efficiency.
• IoT generates a big growth of complexity and a new method is necessary to correctly design app.
• We have developed on the field the method Here&Now to permit to manage contextual, liquid, intelligent and connected applications. This means designing software with a level of new cognitive artificial intelligence able to deploy applications that have a level of understanding depending on context; it learns from events and have some level of autonomy with respect to routine activities.
Top Strategic Technology Trends for 2022.docxAdvance Tech
Strategic technology trends can be difficult to predict, but many technology observers think that the 2024 Olympics and the autonomous cars of the 2020s are inevitable.
Regardless, strategic technology trends can inspire companies and entrepreneurs looking to maximize their exposure and reach, increase their revenue, and drive new products and services.
Several technologies will be an important part of the 2022 strategy of any large firm, including software, cloud computing, and mobile technology.
A discussion that the following is the main focus on the impact of these technologies on the business functions of large firms and their future strategies. We finally brought together the sectors that will largely influence the future world economy in this post.
Strategic technology is the combination of strategic thinking, best practices, and financial effectiveness.
https://advancetech.info/gartners-top-10-strategic-technology-trends-for-2022/
This modern engineering technique has grown from good old SOA (Service Oriented Architecture) with features like REST (vs. old SOAP) support, NoSQL databases and the Event driven/reactive approach sprinkled in.
Microservices
The criticism
Evolutionary approach
Best practices
Create a Separate Database for Each Service
Rely on contracts between services
Deploy in Containers
Treat Servers as Volatile
Related techniques and patterns
Design patterns
Integration techniques
Deployment of microservices
Serverless - Function as a Service
Continuous Deployment
Related technologies
Microservices based e-commerce platforms
Technologies that empower microservices achitecture
Distributed logging and monitoring
Case Studies: Re-architecting the monolith
Bridging the Gap Between Business and Development (OOP'07 Keynote)Enthiosys Inc
Luke Hohmann, Enthiosys CEO, spoke on "Bridging the Gap Between Business and Development" as a keynote for OOP 2007 in Munich. He explored the understanding gap between developers and business-side staff by asking that the "ideal developer" would be for each group.
AIIM Info 2011 Increasing mobile worker productivityZia Consulting
This session describes how education, healthcare and government organizations can implement a collaborative mobile ECM and Project management strategy for their workforce. Attend as we cover the benefits of using CMIS, mobile applications and devices, and best practices for a mobile ECM delivery strategy.
• The value of writing content rich mobile CMIS applications that work against multiple ECM repositories.
• How to build a strategy to enable increased mobile worker productivity by created task-oriented ECM and project management related activities delivered on mobile devices.
• Mobile ECM best practices that utilize a variety of free and widely available software packages on the iPhone and iPad.
• Examples of mobile content delivery and how it has saved local governments time and money.
Digital Engineering: Top 5 Imperatives for Communications, Media and Technolo...Cognizant
Many communications, media and technology companies share similar digital objectives. Here are our recommendations for realizing five common digital goals, and a look at a few companies that have succeeded with meeting them.
I delivered a guest lecture for the students of the one-year Post Graduate program in Global Supply Chain Management offered by IIM Udaipur. In this talk, I focused on three dimensions of digital journey - technology, process (rather business models) and people.
In this presentation, Kalpesh introduces the topic of SMAC, examples of deployment of SMAC solutions and associated trends. Kalpesh's interest lies in mobile application development with tight coupling to social media, one of his app ideas is a social mobile wallet.
We are providing the training and services of Digital Marketing based in Lahore Pakistan and all over the world for further info visit our website:
www.digitalmarketingtrust.com
Similar to Concept computing in twelve tweets (20)
AI for human communication is about recognition, parsing, understanding, and generating natural language. The concept of natural language is evolving. A key focus is the analysis, interpretation, and generation of verbal and written language. Other language focus areas include haptic, sonic, and visual language, data, and interaction.
Enterprise AI transforms business, impacts performance, and increases efficiencies in multiple ways: (1) Insight generation—using big data and cognitive analytics to extract previously unknown understanding from structured and unstructured data. (2) Customer engagement—using AI, information, analytics, and communications technology to involve someone’s interest, attention, interaction, and participation towards some end. (3) Business acceleration—augmenting staff and automating knowledge generation to drive cost savings, competitive advantage, and new business lines through smarter deployment of resources; and (4) Enterprise transformation—change associated with the application of digital technologies and artificial intelligence to all aspects of the business, its ecosystem, and human society.
Enterprise AI transforms business, impacts performance, and increases efficiencies through insight generation, customer engagement, business acceleration, and enterprise transformation.
Major conceptual advances that power economic growth seem to occur about 2-3 times a century. Previous waves, e.g., the steam engine and its descendants, mechanized muscle power. Connected intelligence (aka Industry 4.0) is the latest and most transformative because it augments and automates mental power—the ability to use our brains to understand and shape our environments — and is accelerating exponentially. Connected intelligence arises at the intersection of big data, cloud, mobility, social computing, the internet of things, and artificial intelligence.
AI for human communication is about recognition, parsing, understanding, and generating natural language. The concept of natural language is evolving. A key focus is the analysis, interpretation, and generation of verbal and written language. Other language focus areas include haptic, sonic, and visual language, data, and interaction.
AI is multiple technologies combined to sense, think, and act as well as to learn from experience and adapt over time. Sense refers to pattern recognition, machine perception, biometrics, speech recognition, computer vision, and affective computing. Think refers to natural language processing, advanced analytics, knowledge representation and reasoning, machine learning, deep learning, conversational interfaces, and cognitive computing. Act refers to search, question answering, recommender systems, expert systems, planning and scheduling, robotic process automation, chatbots, virtual assistants, robots, autonomic computing, and autonomous systems.
Knowledge science, concept computing and intelligent citiesMills Davis
This keynote was presented at two Kent State University (KSU) Knowledge Science Center (KSC) symposia held in Canton, Ohio and Washington, DC. As the title suggests, this presentation focuses on three aspects of the Knowledge Science Center mission: knowledge science, concept computing, and intelligent cities. The mission of knowledge science is transformation. Concept computing is the next paradigm. And, intelligent cities are a destination worthy of the journey.
Semantic Technology Solutions For Recovery Gov And Data Gov With Transparenc...Mills Davis
The Obama administration has set the goal of achieving and unprecedented level of openness, participation, transparency, and collaboration in government. This applies especially to the accessibility of government information and the tracking of stimulus expenditures. This presentation discusses ways that cloud computing, web 2.0, and web 3.0 semantic technologies can be used to deliver citizen-friendly solutions for recovery.gov and data.gov that fulfill the goals of the new administration.
What is the role of cloud computing, web 2.0, and web 3.0 semantic technologi...Mills Davis
The US has a new administration that values transparency, citizen participation, collaboration, information sharing, and internet technology. This presentation maps the role of information and communication technologies (specifically, cloud computing, Web 2.0, and Web 3.0 semantic technologies) in the evolution of government information systems from e-gov (silos with web front ends) to connected governance (e.g. distributed social computing environments for collaborative work, information sharing, knowledge management, and participatory decision-making.)
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/
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
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.
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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
Knowledge engineering: from people to machines and back
Concept computing in twelve tweets
1. Concept Computing
in 12 Tweets
Text
Mills Davis
Project10X
mdavis@project10x.com
1-202-667-6400
2. WIN a
Personal
Drone
Spy-Cam
Helicopter!
Before we start, a moment of truth in advertising:
Over the past several months I have consulted with Be Informed.
Be Informed delivers semantic technology that is mainstream, enterprise class, & ready for prime time!
I call it “concept computing” because it embraces, but goes significantly beyond what other vendors are
doing with semantic web, linked data, business process management, business rules, and intelligent user
interface.
Observations I’ll share with you today are the result of due diligence conducted to understand the
supplier landscape and market directions in enterprise computing.
OK, let’s get started.
Concept computing in twelve tweets:
3. Concept computing is the future of mobile internet and enterprise computing. It’s semantic
technology for the mainstream.
What is concept computing?
Concept computing is semantic model-driven computing.
A concept is semantic model.
Its meaning derives from the network of relationships to other concepts.
The basic idea is to model concepts and relationships separately from the supporting IT systems
and then to compute with this knowledge.
4. Concept computing is a paradigm shift. It does things differently. It’s capabilities are game
changing. It’s a value dynamo.
And it is already happening.
Why? Here are four reasons the shift to concept computing is happening:
a) It delivers a new user experience that people find compelling. No UX. No market pull.
b) Concept computing “democratizes” new social concepts of work, play, sharing and communicating
where computers understand language, social interactions, and the way people collaborate.
c) It synthesizes functionality into capabilities, standards, and higher-level solution concepts that
encompass and go beyond what was previously possible. The direction is toward systems that
know, learn, and reason as people do. The upside is that concept computing can solve problems
that are intractable with previous technologies.
d) Concept computing empowers breakthroughs in value and life cycle economics (These can be
measured as gains in capability, user experience, performance).
5. Concept computing overcomes difficulties of previous expert system, modeling, and model-driven technologies.
I want to address a couple of legacy issues, concerns, and sources of confusion in the market.
Issue-1: Is computing with knowledge only for niche applications?
Expert systems have been mainstays of AI and business rule driven applications for decades.
But, there have been issues.
The usual concerns cited are technical complexity, brittleness of the knowledge models, poor scalability of the
solutions, difficulty to maintain, and lack of fit with mainstream programming paradigms.
These concerns are no longer warranted.
Concept computing is now robust, flexible, scalable, dynamic, and mainstream ready.
Issue-2: Is modeling only cost-effective for individual aspects of software applications? Why not all of it?
Going back to the beginning of IT, there was only an application program. It was a deck of cards that gave
instructions to a computer. It was low-level code.
Over the decades, we began model knowledge about some things separately and take this functionality out of
the application, so that multiple programs could share it.
The sequence was something like this: operating systems, then data, workflow, rules, services, and goals.
As modeling evolved, different kinds of concepts required separate tools to model them.
With different kinds of modeling tools came different formalisms and standards.
For example for: data schemas, decisions using business rules, processes flow-charted with BPMN, services
accessed through APIs.
Different formalisms and standards result in tools that don’t know about each other and don’t share semantics.
That’s a problem when you want to combine multiple types of models in an application. It gets complicated.
Often you are obliged to write some code. Other times, you import or export models into other tools, which
adds a layer of complexity.
With concept computing this ceases to be a problem.
Concept computing provides a unified environment for creating, managing, and executing all types of models.
Further, there is new hardware designed for concept computing at scale.
OK. Let’s resume the story.
6. With Concept computing, every aspect of a solution and every stage of the solution life cycle
becomes model-driven and semantic.
What’s game changing is how comprehensively this is happening:
•! aspect of a solution I include: user interaction, data, decisions, processes, and infrastructure.
By
Everything.
•! stage of a solution life cycle I include: development, operations and ongoing evolution.
By
When semantic models power everything, you get to think differently.
New capabilities and solution concepts become practical.
Let’s tweet a few examples:
7. Concept computing makes user experience simpler, smarter and more helpful.
Semantic and model-driven user interface design allows implementation of different types of
“smarter” user experience.
The progression is from fixed tools, to appliances, to advisors, to virtual assistants that can
complete tasks, to expert agents.
Let me illustrate.
Mobility is all about new user experience. Make no mistake about this.
Mobile internet user experience demands computers that understand concepts.
One illustration of this is Apple’s SIRI.
What happens when semantic models enable computers to understand concepts?
Computers that understand concepts are systems that know.
That is, they are more than electronic pencils, more than calculators, and more than search
appliances that retrieve information.
Think about it.
Systems that know can advise you. They can help you.
They can simplify complex, knowledge-intensive tasks.
They can adapt and optimize their behavior when events happen and something changes.
But that’s not all.
They can become virtual assistants that get something done for you.
8. Concept computing puts semantic data to work.
Concept computing uses semantic models to link sources; connect knowledge and data; enhance
context; and, most important, integrate data, decisions, and actions.
Semantic models encompass:
• goal-oriented activities to perform
• pre-and post-conditions for these activities
• decisions required to take action;
• rules and conditions to be met for choosing
• data and calculations required.
All model(s) are managed in one environment.
Models are compact and integrated. For example, business rules always appear in context of their
use.
Schemas, ontologies, models, and business logic can be imported, exported, or updated using open
standards.
Concept computing can import linked data and ontologies in RDF/OWL and connect these to
analytic, decision, and process models.
Concept computing can combine natural language understanding with semantic models to extract
and apply knowledge and information from unstructured sources.
9. Concept computing processes become goal-oriented, event-driven, and context-aware.
Goal-oriented processes adapt, self-configure, and optimize when events happen, exceptions occur,
or needs change.
Like a GPS navigation system, the process interprets events and computes the next best action
based on the current context, system knowledge, and content of the case.
A dynamic activity plan continuously tracks and updates the status of actions taken in the system.
No difference exists between straight through processing (STP) and exception handling.
What can be automated is. What can’t, isn’t. It’s still the same process.
Let’s illustrate this further with a multi-benefits solution:
•! system knowledgebase integrates all legislation, regulation, and policies needed to guide the
A
administrative process.
•!
A core business process pattern defines common high-level functions.
•!
These might include to inform, advise, apply for benefits, answer questions, decide eligibility,
track status of cases, resolve exceptions, explain decisions, and communicate actions taken.
•!
Specific requirements of individual benefits programs are modeled as specializations.
•!
Every exception is just another business rule.
•!
Meanwhile, the user experiences a single interface where s/he can access information, advice,
and obtain services for all benefit programs.
•!
Similarly, the caseworker has only to deal with actions actually needed for the specific case.
•!
Dynamic case management can reduce clicks and keystrokes required by a factor of ten.
10. With concept computing, the model is the design, is the documentation, is the application, is the
user interface.
This is what happens when every aspect of the solution and every stage of the solution life cycle
is semantic and model-driven.
The model is the application.
At every stage of development, the model executes.
The model self-documents. it’s just another way to express the model.
And the model can explain its every decision and action taken.
Moreover, the model drives the user interface.
Change devices, channels or the underlying model itself and system behaviors change
automatically.
You don’t write program code.
You don’t draw flow charts in swim lanes either.
You don’t compose a waterfall of documents that translate requirements to designs to
specifications to code and so on.
Business logic is packaged in knowledge models, and delivered as knowledge-as-a-service, where it
can be reused by external applications.
One interconnected knowledge model directs activities and decisions dynamically towards the goal.
Under the hood, it’s all RDF & RDF/S.
All system knowledge updates quickly, without your having to rebuild databases or compile new
program code.
11. Concept computing enables everyone to model.
Concept computing handles all kinds of modeling in one environment.
No more separate modeling tools and file formats.
There are multiple choices of user-friendly modeling methods.
Examples include: graphical modeling, forms, spreadsheet style tabular modeling, and writing in
controlled natural language.
Concept computing lets users express ideas in ways they find natural. The computer learns how to
makes sense of it.
12. Development using concept computing practices is fast and lean.
Business users, subject matter experts, and IT specialists all participate in development and are
involved throughout.
Development starts with discovery of requirements.
Then comes definition of the functional architecture and design of the core application.
A small senior team of business analysts and system architects conducts these steps.
A functional design is like a plan view for a building that shows the basic layout and
infrastructure, but not all the details of each room.
Plus, the functional design is already a working core application.
From this core application, development builds in parallel, adding details.
Teams are smaller than with conventional IT.
Team roles encompass project leads, system architects, UI designers, knowledge modelers,
software engineers, test and quality assurance, trainers, support personnel, and system
administrators.
Time to solution is two to ten times faster than with conventional IT development.
Benefits start early. This reduces risk.
Integration with existing systems and infrastructure is non-invasive.
Development is iterative and incremental.
Development can be highly parallel, but is significantly less labor-intensive.
Testing and acceptance is ongoing rather than weighted towards the back end of the process.
Deployment is incremental.
13. Concept computing lowers operating costs, total cost of ownership (TCO), and cost of maintenance
compared to current operations.
Based on customer experience reported by Be Informed, the rule of thumb is 30-60-90:
Operating costs can be one-third less.
Total cost of ownership can decrease by as much as two-thirds.
Time and effort to make changes can decrease by up to 90 percent.
Why? It’s much easier to integrate new data sources and interface new services by changing
knowledge models than it is by writing code and rebuilding data stores.
14. #conceptcomputing
poster child =
http://www.beinformed.com
If you are looking for a concept computing poster child, it will be worth your while to visit Be
Informed.
Here is why:
1 Everything I’ve tweeted here, you can see demonstrated live in a Be Informed demo.
2 Be Informed has integrated concept computing principles into its product suite from the ground
up.
3 Be Informed delivers semantic technology that is mainstream, enterprise class, & ready for
prime time!
4 Analysts at Gartner, Forrester, and Ovum describe Be Informed as a hot, expansion stage
software company. They position Be Informed as the market leader in concept computing
technology, semantic model-driven development methods, and advanced enterprise solutions for
complex, knowledge-intensive, core, mission-critical enterprise systems.
Thank you. This completes my talk.