This is a presentation that I did for the Enterprise Search Summit West 2008 that has been amended for a Web Project Management class at the University of Washington
A customized web search engine is graduation project .This presentation displays what search engine is and open source software which used in this project
Web surfing for various purposes has become a habit of humans. Searching for information from the Internet today has been made easier by the widely available search engines. However, there are many search engines and their number is increasing. It is of considerable importance for the designer to develop quality search engines and for the users to select the most appropriate ones for their use. The Information quality linked through these searches is quite irregular. There are fair chances that the retrieved results are irreverent and belong to an unreliable source. In fact, most search engines are developed mainly for better technical performance and there could be a lack of quality attributes from the customers’ perspective. In this paper, we first provide a brief review of the most commonly used search engines, with the focus on existing comparative studies of the search engines. The paper also includes a survey conducted of 137 respondents where the identified user expectations will be of great help not only to the designers for improving the search engines, but also to the users for selecting suitable ones. The objective behind this study was also to find the reason behind poor precision and recall of so many available search engines. The study finally aims to enhance user search experience.
A customized web search engine is graduation project .This presentation displays what search engine is and open source software which used in this project
Web surfing for various purposes has become a habit of humans. Searching for information from the Internet today has been made easier by the widely available search engines. However, there are many search engines and their number is increasing. It is of considerable importance for the designer to develop quality search engines and for the users to select the most appropriate ones for their use. The Information quality linked through these searches is quite irregular. There are fair chances that the retrieved results are irreverent and belong to an unreliable source. In fact, most search engines are developed mainly for better technical performance and there could be a lack of quality attributes from the customers’ perspective. In this paper, we first provide a brief review of the most commonly used search engines, with the focus on existing comparative studies of the search engines. The paper also includes a survey conducted of 137 respondents where the identified user expectations will be of great help not only to the designers for improving the search engines, but also to the users for selecting suitable ones. The objective behind this study was also to find the reason behind poor precision and recall of so many available search engines. The study finally aims to enhance user search experience.
Ranking in Google Since The Advent of The Knowledge GraphBill Slawski
A Two Person Panel Discussion/Presentation by Bill Slawski and Barbara Starr On June 23, 2015
The Lotico Semantic Web of San Diego
The SEO San Diego Meetup
The SEM San Diego Meetup
http://www.meetup.com/InternetMarketingSanDiego/events/222788495/
User experience drives search engines, and hence their results. Search Engine Result Presentation/Placements naturally follow that route.
This means that search results are no longer exclusively based on just ranking criteria. Amongst other critical factors is understanding the notion of 'ordering vs ranking', the impact of context and many others.
For the first time since the emergence of the Web, structured data is playing a key role in search engines and is therefore being collected via a concerted effort. Much of this data is being extracted from the Web, which contains vast quantities of structured data on a variety of domains, such as hobbies, products and reference data. Moreover, the Web provides a platform that encourages publishing more data sets from governments and other public organizations. The Web also supports new data management opportunities, such as effective crisis response, data journalism and crowd-sourcing data sets.
I will describe some of the efforts we are conducting at Google to collect structured data, filter the high-quality content, and serve it to our users. These efforts include providing Google Fusion Tables, a service for easily ingesting, visualizing and integrating data, mining the Web for high-quality HTML tables, and contributing these data assets to Google's other services.
Alon Halevy heads the Structured Data Management Research group at Google. Prior to that, he was a professor of Computer Science at the University of Washington in Seattle, where he founded the database group. In 1999, Dr. Halevy co-founded Nimble Technology, one of the first companies in the Enterprise Information Integration space, and in 2004, Dr. Halevy founded Transformic, a company that created search engines for the deep web, and was acquired by Google. Dr. Halevy is a Fellow of the Association for Computing Machinery, received the the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2000, and was a Sloan Fellow (1999-2000). He received his Ph.D in Computer Science from Stanford University in 1993 and his Bachelors from the Hebrew University in Jerusalem. Halevy is also a coffee culturalist and published the book "The Infinite Emotions of Coffee", published in 2011 and a co-author of the book "Principles of Data Integration", published in 2012.
What IA, UX and SEO Can Learn from Each OtherIan Lurie
Google has become the arbiter how users experience a website. Their data-driven determinants of what constitute good UX directly influence how a site is found. This is wrong because people, not machines, should determine experience; Google does not tell the SEO or UX community what data is used to measure experience and many elements of experience cannot be measured.This presentation reveals why Google uses UX signals to determine placement in search results and how to create a customer pleasing and highly visible user experience for your website.
Search Analytics For Content Strategists @CSofNYCWIKOLO
Search is a conversation, learn to listen to what you visitors are telling you by understanding their search behavior. In this presentation we'll cover information foraging, search analysis, and how to use them and other techniques to improve your content without having to be a statistician.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Design Issues for Search Engines and Web Crawlers: A ReviewIOSR Journals
Abstract: The World Wide Web is a huge source of hyperlinked information contained in hypertext documents.
Search engines use web crawlers to collect these web documents from web for storage and indexing. The prompt
growth of the World Wide Web has posed incomparable challenges for the designers of search engines and web
crawlers; that help users to retrieve web pages in a reasonable amount of time. In this paper, a review on need
and working of a search engine, and role of a web crawler is being presented.
Key words: Internet, www, search engine, types, design issues, web crawlers.
I was invited to speak at OMCap Berlin 2014 about the close relationship between search engines and user experience with prescriptive guidance to gain higher rankings and more conversions.
Uw Digital Communications Social Media Is Not SearchMarianne Sweeny
I had the pleasure of speaking to one of the Digital Communication classes at the University of Washington on my favorite topic, why social media will never replace search as an information finding medium. Those students were wicked smart and I walked away learning a lot myself.
Ranking in Google Since The Advent of The Knowledge GraphBill Slawski
A Two Person Panel Discussion/Presentation by Bill Slawski and Barbara Starr On June 23, 2015
The Lotico Semantic Web of San Diego
The SEO San Diego Meetup
The SEM San Diego Meetup
http://www.meetup.com/InternetMarketingSanDiego/events/222788495/
User experience drives search engines, and hence their results. Search Engine Result Presentation/Placements naturally follow that route.
This means that search results are no longer exclusively based on just ranking criteria. Amongst other critical factors is understanding the notion of 'ordering vs ranking', the impact of context and many others.
For the first time since the emergence of the Web, structured data is playing a key role in search engines and is therefore being collected via a concerted effort. Much of this data is being extracted from the Web, which contains vast quantities of structured data on a variety of domains, such as hobbies, products and reference data. Moreover, the Web provides a platform that encourages publishing more data sets from governments and other public organizations. The Web also supports new data management opportunities, such as effective crisis response, data journalism and crowd-sourcing data sets.
I will describe some of the efforts we are conducting at Google to collect structured data, filter the high-quality content, and serve it to our users. These efforts include providing Google Fusion Tables, a service for easily ingesting, visualizing and integrating data, mining the Web for high-quality HTML tables, and contributing these data assets to Google's other services.
Alon Halevy heads the Structured Data Management Research group at Google. Prior to that, he was a professor of Computer Science at the University of Washington in Seattle, where he founded the database group. In 1999, Dr. Halevy co-founded Nimble Technology, one of the first companies in the Enterprise Information Integration space, and in 2004, Dr. Halevy founded Transformic, a company that created search engines for the deep web, and was acquired by Google. Dr. Halevy is a Fellow of the Association for Computing Machinery, received the the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2000, and was a Sloan Fellow (1999-2000). He received his Ph.D in Computer Science from Stanford University in 1993 and his Bachelors from the Hebrew University in Jerusalem. Halevy is also a coffee culturalist and published the book "The Infinite Emotions of Coffee", published in 2011 and a co-author of the book "Principles of Data Integration", published in 2012.
What IA, UX and SEO Can Learn from Each OtherIan Lurie
Google has become the arbiter how users experience a website. Their data-driven determinants of what constitute good UX directly influence how a site is found. This is wrong because people, not machines, should determine experience; Google does not tell the SEO or UX community what data is used to measure experience and many elements of experience cannot be measured.This presentation reveals why Google uses UX signals to determine placement in search results and how to create a customer pleasing and highly visible user experience for your website.
Search Analytics For Content Strategists @CSofNYCWIKOLO
Search is a conversation, learn to listen to what you visitors are telling you by understanding their search behavior. In this presentation we'll cover information foraging, search analysis, and how to use them and other techniques to improve your content without having to be a statistician.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Design Issues for Search Engines and Web Crawlers: A ReviewIOSR Journals
Abstract: The World Wide Web is a huge source of hyperlinked information contained in hypertext documents.
Search engines use web crawlers to collect these web documents from web for storage and indexing. The prompt
growth of the World Wide Web has posed incomparable challenges for the designers of search engines and web
crawlers; that help users to retrieve web pages in a reasonable amount of time. In this paper, a review on need
and working of a search engine, and role of a web crawler is being presented.
Key words: Internet, www, search engine, types, design issues, web crawlers.
I was invited to speak at OMCap Berlin 2014 about the close relationship between search engines and user experience with prescriptive guidance to gain higher rankings and more conversions.
Uw Digital Communications Social Media Is Not SearchMarianne Sweeny
I had the pleasure of speaking to one of the Digital Communication classes at the University of Washington on my favorite topic, why social media will never replace search as an information finding medium. Those students were wicked smart and I walked away learning a lot myself.
Search engines have changed a lot over the last 15 years and optimizing Websites for them must keep up. This presentation looks at the search landscape and present strategies and tactics for optimizing for today's search.
SEO and IA: The Beginning of a Beautiful FriendshipMarianne Sweeny
Search technology and IA have developed on parallel tracks over the last many years. I propose that they join forces in creating an enhanced user information finding experience and present specific opportunities for deeper IA engagement.
Search Solutions 2011: Successful Enterprise Search By DesignMarianne Sweeny
When your colleagues say they want Google, they don’t mean the Google Search Appliance. They mean the Google Search user experience: pervasive, expedient and delivering the information that they need. Successful enterprise search does not start with the application features, is not part of the information architecture, does not come from a controlled vocabulary and does not emerge on its own from the developers. It requires enterprise-specific data mining, enterprise-specific user-centered design and fine tuning to turn “search sucks” into search success within the firewall. This presentation looks at action items, tools and deliverables for Discovery, Planning, Design and Post Launch phases of an enterprise search deployment.
Assignment 2 Probability AnalysisA General Manger of Harley-Dav.docxrock73
Assignment 2: Probability Analysis
A General Manger of Harley-Davidson has to decide on the size of a new facility. The GM has narrowed the choices to two: large facility or small facility. The company has collected information on the payoffs. It now has to decide which option is the best using probability analysis, the decision tree model, and expected monetary value.
Options:
Facility
Demand Options
Probability
Actions
Expected Payoffs
Large
Low Demand
0.4
Do Nothing
($10)
Low Demand
0.4
Reduce Prices
$50
High Demand
0.6
$70
Small
Low Demand
0.4
$40
High Demand
0.6
Do Nothing
$40
High Demand
0.6
Overtime
$50
High Demand
0.6
Expand
$55
Determination of chance probability and respective payoffs:
Build Small:
Low Demand
0.4($40)=$16
High Demand
0.6($55)=$33
Build Large:
Low Demand
0.4($50)=$20
High Demand
0.6($70)=$42
Determination of Expected Value of each alternative
Build Small: $16+$33=$49
Build Large: $20+$42=$62
Click here for the Statistical Terms review sheet.
Submit your conclusion in a Word document to the Submissions Area by the due date assigned .
Assignment 2 Grading Criteria
Maximum Points
The diagram is accurate and labeled correctly. The diagram clearly illustrates the sequence of events and their probability of occurrences.
32
A step-by-step breakdown of the calculations for the chance of probability and respective payoff is clearly communicated. The results of the calculations are accurate.
28
Clear and concise statement explaining the decision and a description of elements that lead to the decision.
20
Clear and concise statement explaining the decision and a description of elements that lead to the decision.
20
Total:
100
1.ISS DISC 6: Much has been made of the new Web 2.0 phenomenon, including social networking sites and user-created mash-ups. How does Web 2.0 change security for the Internet? How do secure software development concepts support protecting applications? (250 words with references)
2.Response on the below article with 150 words
Manushi Doshi:
The idea of Web as a platform is introduced in Web 2.0. It represents a social, creative, collaborative and interactive web. Some popular examples of Web 2.0 are YouTube, Facebook, MySpace.com. People can create and share their own content like blogs, videos etc. While there are advantages like improved look and feel of the internet it also comes with security and cyber attack concerns.
Since anyone is allowed to upload content using Web 2.0, there is a high risk of hackers uploading malicious content to this sites. Hackers take advantage of the trust between the visitors/developers and the site owners. As the content uploading and updating process gets more decentralized, the authentication and trust worthiness mechanism is a major consideration. Through Web 2.0 sites, socializing online is a new way to network which gives rise to malware attacks. As a result, there are two categories of threats by social networking sites i.e. technical and soc ...
Enhanced Web Usage Mining Using Fuzzy Clustering and Collaborative Filtering ...inventionjournals
Information is overloaded in the Internet due to the unstable growth of information and it makes information search as complicate process. Recommendation System (RS) is the tool and largely used nowadays in many areas to generate interest items to users. With the development of e-commerce and information access, recommender systems have become a popular technique to prune large information spaces so that users are directed toward those items that best meet their needs and preferences. As the exponential explosion of various contents generated on the Web, Recommendation techniques have become increasingly indispensable. Web recommendation systems assist the users to get the exact information and facilitate the information search easier. Web recommendation is one of the techniques of web personalization, which recommends web pages or items to the user based on the previous browsing history. But the tremendous growth in the amount of the available information and the number of visitors to web sites in recent years places some key challenges for recommender system. The recent recommender systems stuck with producing high quality recommendation with large information, resulting unwanted item instead of targeted item or product, and performing many recommendations per second for millions of user and items. To avoid these challenges a new recommender system technologies are needed that can quickly produce high quality recommendation, even for a very large scale problems. To address these issues we use two recommender system process using fuzzy clustering and collaborative filtering algorithms. Fuzzy clustering is used to predict the items or product that will be accessed in the future based on the previous action of user browsers behavior. Collaborative filtering recommendation process is used to produce the user expects result from the result of fuzzy clustering and collection of Web Database data items. Using this new recommendation system, it results the user expected product or item with minimum time. This system reduces the result of unrelated and unwanted item to user and provides the results with user interested domain.
March 2008 presentation from a BEA Systems webinar about expertise location. Pathways lets users tag content and people, as well as bookmark internal content and external websites. It applies an algorithm to give ratings to users and information in the system.
This presentation hopes to illuminate how Search, Content Strategy, Information Architecture, User Experience, Interaction Design can break down silos to take back relevance. Because, in the end, we, the people, should be the arbiters of experience, not machines and certainly not math.
Connection and Context: ROI of AI for Digital MarketingMarianne Sweeny
This presentation explores the intersection of emerging AI technology with SEO, UX, content strategy and digital marketing with prescriptive guidance on how to influence machine learning for the right outcomes.
Delivered at Enterprise Search and Discovery 2015, this presentation takes a look at the search landscape users enjoy outside the firewall and the expectations it fosters inside. It presents contemporary user research on enterprise search behavior and uses these findings to make recommendations to enhance enterprise search effectiveness.
Team of Rivals: UX, SEO, Content & Dev UXDC 2015Marianne Sweeny
The search engine landscape has changed dramatically and now relies heavily on user experience signals to influence rank in search results. In this presentation, I explore search engine methods for evaluating UX in a machine readable fashion and present a framework for successful cross-discipline collaboration.
Cross discipline collaboration benefits from group think, a consolidation of soft system methodology and user focused design that all starts with design thinking that sees clients, designers, developers and information architects working together to address user problems and needs. As with any great adventure, design thinking starts with exploration and discovery.This presentation examines the high level tenants of system thinking, expands the scope of user thinking to include tools and devices that users employ to find out designs and delve into the specifics of design thinking, its methods and outcomes.
While we have been busy trying to "define the damn thing" IA or answering the age old question of who rules, UX, IxDA or IA, the search engines have been busily transitioning to a machine mediated experience model for ranking. This means that SEO is now the responsibility of UX/IA whether we like it or not. This presentation lays out how search engines evaluate user experience and how we can influence this evaluation with an optimized design.
This presentation looks at new methodologies of keyword research to meet the linguistic and semantic sophistication that is Web search today. Search engines are changing and SEO must change with them to meet the challenge of getting the right visitors to the site.
Birds Bears and Bs:Optimal SEO for Today's Search EnginesMarianne Sweeny
In February of 2012, Google began launching the Panda Update (bears), the first of many steps away from a link-based model of relevance to a user experience model of relevance. This bearish focus on relevance use algorithms to determine a positive user experience focused on click-through (does the user select the result), bounce rate (does the user take action once they arrive at the landing page) and conversion (does the landing page satisfy the user’s information need). Content and information design became the foundation for relevance. Sadly, no one at Google told the content strategists, user experience professionals and information architects about their new influence on search engine performance. In April of 2012, Google followed up with the Penguin update (birds), a direct assault on link building, a mainstay of traditional search engine optimization (SEO). The Penguin algorithm evaluates the context and quality of links pointing to a site. Website found to be “over optimized” with low quality links are removed from Google’s index. Matt Cutts, GOogle Webmaster and the public face of Google, summed this up best: “And so that’s the sort of thing where we try to make the web site, uh Google Bot smarter, we try to make our relevance more adaptive so that people don’t do SEO, we handle that...” Sadly, Google is short on detail about how they are handling SEO, what constitutes adaptive relevance and how user experience professionals, information architects and content strategists can contribute thought-processing biped wisdom to computational algorithmic adaptive relevance so that searchers find what they are looking for even when they do not know that that is. This presentation will provide a brief introduction to the inner workings of information retrieval, the foundation of all search engines, even Google. On this foundation, I will dive deep into the Bs of how to optimize Web sites for today’s search technology: Be focused, Be authoritative, Be contextual and Be engaging. Birds (Penguin), Bears (Panda) & Bees: Optimal SEO will provide insight into recent search engine changes, proscriptive optimization guidance for usability and content strategy and foresight into the future direction of search.
Bearish SEO: Defining the User Experience for Google’s Panda Search LandscapeMarianne Sweeny
The search sun shifted in March 2011 when Google started rolling out the beginning of the Panda update. Instead of using the famous PageRank, a link-based relevance calculation, Panda rests on a machine interpretation of user experience to decide which sites are most relevant to a searchers quest for knowledge. This means that IA and UX practitioners need to start thinking about the machine implications of the way they structure information on the web, and think ahead about the human implications for how search engines present their sites in response to searcher queries. Bearish SEO will present real, actionable methods for content providers, information architects and user experience designers to directly influence search engine discoverability. Need is an experience. It is a state of being. The goal for this presentation is to ensure that user experience professionals become an integral part of designing search experience.
Finding, or not finding, information is consistently the most called out issue in the enterprise. Technology companies spend millions developing features that remain idle because, while everyone is concerned about optimizing enterprise search, no one is doing anything about it. The PM cuts the budget because "the devs will do it." The IA/UX architects do not have the specific expertise. The developers want to do it but do not have appropriate guidance.
This is a call-to-action for developers and ITpros to make sure that they get what they need to make search in the enterprise work. Because, after the interactive marketing agency has left the building, they are the ones that will be hearing "search sucks" directed at them.
At the 2011 Polish IA Summit, I examine big changes in optimizing for search engines.
We now know that Google is not infallible (seems that companies are easily able to game the PR system) or t all knowing (seems it takes a competitor with a friend at the New York Times to reveal said PR gaming). We also found out that Google can be capricious with blanket suppression of content from certain sites regardless of whether users find it relevant.
This presentation looks at search optimization tools ant tactics that work regardless of these changes and how to keep the site optimized.
Enterprise Search Share Point2009 Best Practices FinalMarianne Sweeny
This presentation examines features and benefits in Microsoft Office SharePoint Server (MOSS) 2007 enteprise search. It contains configuration guidance, code snippets, tips and tricks.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
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.
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.
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/
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
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
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.