Lessons from practicing agile with big corporations
Erik Jõgi
Codeborne
@ Mobile Monday Estonia "Mobile Development requires Agile approach?", Tallinn 06.06.11
This document introduces a new mobile application called Bubuta that aims to make interactive chatting more fun. It allows users to customize characters with emotions, gifts, and actions. The application also provides a virtual world with locations for users to interact. While the basic features are free, additional personalization requires in-app purchases. The document proposes a partnership where the company provides the app platform and a partner handles promotion, distribution, and customer support in exchange for a share of revenues.
Scrum in Skype mobile software development - Challenges & Lessons learned @ M...MobileMonday Estonia
Scrum in Skype mobile software development - Challenges & Lessons learned
Ervins Grinfelds
Skype
@ Mobile Monday Estonia "Mobile Development requires Agile approach?", Tallinn 06.06.11
Mindset of a Ninja Tester - Vaido Vähk - QA Lead @MooncascadeMobileMonday Estonia
Presented on Monday, 12 September 2016 at MobileMonday Estonia: "Back to Basics - Testing"
http://www.momoestonia.com/2016/09/mobilemonday-back-to-basics-testing.html
The document discusses adding authentication and authorization to an externally facing service mesh application. It introduces authentication using the OAuth 2.0 framework with an API gateway and authentication service. Authorization is implemented using Open Policy Agent to define policies separately from services. The resulting architecture separates authentication, authorization, and application services for improved scalability and team autonomy.
This document provides information about Marten Meikop, including his hobbies, professional career, and role at Pipedrive. It then summarizes key details about Pipedrive's engineering including the number of employees, customers, offices, and requests processed per week. It outlines the evolution of Pipedrive's architecture from a PHP monolith to a microservices architecture running across multiple data centers.
This document discusses how microservices at Twilio have evolved into "micromonoliths" as the services grow more complex and interconnected over time. It recommends establishing dependencies between services based on functional areas rather than technical boundaries to better reflect product and organizational structure. Using generated clients from API specifications and prioritizing splitting services can help reduce complexity as the system evolves. The document advocates reducing barriers to introducing new services so that the architecture remains flexible and adaptable.
This document introduces a new mobile application called Bubuta that aims to make interactive chatting more fun. It allows users to customize characters with emotions, gifts, and actions. The application also provides a virtual world with locations for users to interact. While the basic features are free, additional personalization requires in-app purchases. The document proposes a partnership where the company provides the app platform and a partner handles promotion, distribution, and customer support in exchange for a share of revenues.
Scrum in Skype mobile software development - Challenges & Lessons learned @ M...MobileMonday Estonia
Scrum in Skype mobile software development - Challenges & Lessons learned
Ervins Grinfelds
Skype
@ Mobile Monday Estonia "Mobile Development requires Agile approach?", Tallinn 06.06.11
Mindset of a Ninja Tester - Vaido Vähk - QA Lead @MooncascadeMobileMonday Estonia
Presented on Monday, 12 September 2016 at MobileMonday Estonia: "Back to Basics - Testing"
http://www.momoestonia.com/2016/09/mobilemonday-back-to-basics-testing.html
The document discusses adding authentication and authorization to an externally facing service mesh application. It introduces authentication using the OAuth 2.0 framework with an API gateway and authentication service. Authorization is implemented using Open Policy Agent to define policies separately from services. The resulting architecture separates authentication, authorization, and application services for improved scalability and team autonomy.
This document provides information about Marten Meikop, including his hobbies, professional career, and role at Pipedrive. It then summarizes key details about Pipedrive's engineering including the number of employees, customers, offices, and requests processed per week. It outlines the evolution of Pipedrive's architecture from a PHP monolith to a microservices architecture running across multiple data centers.
This document discusses how microservices at Twilio have evolved into "micromonoliths" as the services grow more complex and interconnected over time. It recommends establishing dependencies between services based on functional areas rather than technical boundaries to better reflect product and organizational structure. Using generated clients from API specifications and prioritizing splitting services can help reduce complexity as the system evolves. The document advocates reducing barriers to introducing new services so that the architecture remains flexible and adaptable.
The document discusses migrating a monolith application to microservices. It outlines some common problems with monoliths like being hard to maintain and understand. The action plan is to gradually extract new or critical parts of the monolith into separate microservices over time, starting services for new features or critical parts of the existing application. It also recommends improving areas like monitoring, testing, and knowledge sharing as the migration occurs to more smoothly transition to a microservices architecture.
After an acquisition, Fleet Complete plans to merge the backend systems of the acquired companies by breaking up monolithic architectures into separate microservices based on feature domains. This will allow teams to independently choose technologies and processes while still coordinating product management. Proper documentation and modular code will facilitate data migration and collaboration between geographically dispersed teams using different technologies. The goal is to build flexibility for future acquisitions and place business needs over technical preferences.
Scientists meet Entrepreneurs - AI & Machine Learning, Kristjan Korjus, StarshipMobileMonday Estonia
The document discusses machine learning in industry. It describes a machine learning continuum with 5 steps from ad-hoc algorithms to deep neural networks. It discusses using data as a specification to iteratively make robots safer by increasing safety 2x, 10 times. It also mentions upcoming publication of a "Data as a specification" manifesto and conducting peer-reviewed analysis. The document is a presentation about machine learning approaches at a company that delivers packages via autonomous robots.
Scientists meet Entrepreneurs - AI & Machine Learning, Peeter Piksarv, Moonca...MobileMonday Estonia
Peeter Piksarv has a PhD in Physics from 2013 and worked as a postdoc from 2014 to 2016 before becoming a data scientist. He discusses how academics skills like taking lots of lectures to build knowledge, mastering the scientific method, conducting research, problem solving, and writing and presenting are useful for becoming a scientist. Piksarv's own work has involved bots, text classification, and a variety of projects that require an aptitude for learning, confidence facing unknown problems, and making evidence-based decisions.
Scientists meet Entrepreneurs - AI & Machine Learning, Tambet Matiisen, Unive...MobileMonday Estonia
AI is advancing rapidly and will have wide-ranging impacts. It is learning to perform tasks beyond perception like complex algorithms, databases, and user interfaces. For algorithms, neural networks can now replicate existing algorithms like Photoshop filters with constant time and memory usage, and their performance can be adjusted based on accuracy or speed needs. For databases, learned indexes can provide faster lookups and use less storage than traditional indexes. For user interfaces, AI is starting to automatically generate UI elements. To stay relevant, people should learn AI through available online courses.
Scientists meet Entrepreneurs - AI & Machine Learning, Dima Fishman, Universi...MobileMonday Estonia
The document discusses how deep learning is being applied in medicine and biology. It provides examples of deep learning being used to detect diabetic retinopathy and skin cancer at performance levels comparable to experts. While deep learning has achieved human-level performance in some medical image analysis tasks, it notes that applying deep learning to medicine faces challenges due to the complexity of medical data and difficulties obtaining large datasets due to privacy and cost issues.
The document discusses the benefits of exercise for both physical and mental health. Regular exercise can improve cardiovascular health, reduce symptoms of depression and anxiety, enhance mood, and reduce stress levels. Staying physically active for at least 30 minutes each day is recommended for significant health benefits.
This document discusses the challenges of developing space hardware and fitting into the global market. It identifies three main challenges for space hardware providers as finding customers, accessing finance, and availability of skilled staff. Additional challenges for developing space hardware in Estonia include long and expensive supply lines, restricted access to infrastructure and potential clients, and a shortage of senior space industry professionals. The document provides recommendations for addressing these challenges such as pursuing international education programs in space technology, participating in competitions, and choosing a start-up location strategically.
This document discusses Kappazeta's use of deep learning and satellite imagery to detect grassland mowing for agricultural subsidy verification. Some key points:
1) Kappazeta has developed an automated country-wide grassland mowing detection system using Sentinel-1/-2 satellite imagery time-series to help the Estonian Paying Agency verify subsidy claims as required by the EU Common Agricultural Policy.
2) The system provides 90% detection accuracy, 95% coverage of Estonia, and status updates within 24 hours using over 7TB of satellite images from 2017.
3) While the technology shows promise, the work involves many challenges including inconsistent data, limited training data, and complex software development
Copernicus is the European Union's Earth observation program that provides free and open access to data and processing tools. It includes a series of Sentinel satellites that monitor the Earth's land, atmosphere, oceans and climate. The document discusses accessing Copernicus data through tools like SNAP, QGIS and Pytroll. It also describes the six Copernicus services that provide thematic data products on topics like marine monitoring, land cover mapping, and emergency response.
Kair Käsper has worked as director of product marketing and previously ran digital projects at an advertising agency. He created and sold a digital agency, and now co-founded a SaaS company focusing on free trials. As director of product marketing, his responsibilities include customer and market research, competitor tracking, developing value propositions and messaging, pricing and packaging, and enabling sales and partnerships.
Machine learning can be used in marketing in supervised and unsupervised ways to better target customers. Supervised learning uses labeled training data to classify customers, while unsupervised learning finds hidden patterns in unlabeled data. These techniques can help analyze existing customers, detect the most valuable ones, prevent customer churn, recommend the right products to buyers, and power personalized email campaigns and creative marketing strategies.
The document discusses how marketing should focus on ideas and insights rather than directly marketing a company's product, which can be invisible to customers. It recommends that marketing generate answers to customer questions, share internal data insights, and ideas that can be packaged and marketed through blogs, syndication, social media, email marketing and retargeting to generate inbound leads for sales. An effective marketing stack is also needed that utilizes various tools to implement idea marketing and feedback loop between customers, sales, and marketing.
What Does it take to Develop Kickass Products?, Laura NoodaperaMobileMonday Estonia
This document summarizes the key findings from interviews conducted as part of a Jobs to be Done analysis of Teamweek, a project management tool. The interviews identified common habits, anxieties, and jobs among managers using paying workspaces. Key findings include that previous systems were often non-existent, creating a feeling of lost information and lack of control. Teamweek helps by providing an easy to use visual overview and collaboration features. Based on these findings, the company has rewritten its strategy and mission, is experimenting with new messaging, and has plans to create product stories and marketing opportunities.
What Does it take to Develop Kickass Products?, Britt MaasaluMobileMonday Estonia
This document discusses how to effectively work with external teams to create successful products. It identifies that external teams can include different offices within a company, freelancers, or external companies. Key obstacles include distance, cultural differences, and personal attributes. To overcome these challenges, the document recommends having team effort, self-discipline, leadership as a role model, team support, agreed upon processes, organized work, communication, and face-to-face meetings to build respect and trust. Potential downfalls include incompatibility, differing work methods, location/time zone issues, and lack of communication or motivation. With the right approach, the document concludes that external teams can be highly effective.
Triinu Sirge is an ergonomist who founded Ergoway OÜ to provide ergonomic and occupational health and safety services. She discusses how ergonomics can be used to improve work environments and reduce musculoskeletal disorders. Applying ergonomic principles such as adjustable equipment, standing desks, and taking breaks can help reduce issues like neck, back, and eye strain while increasing productivity and well-being.
The document outlines the challenges of starting a new business and surviving the "valley of death" period where many startups fail. It references several of the author's past startup attempts from 2012-2018 that ultimately failed ("R.I.P."). It quotes Jack Ma saying that while tomorrow may be bad and the next day worse, the day after tomorrow will be beautiful. The document emphasizes the need for resilience among entrepreneurs facing difficulties getting their businesses off the ground.
The document outlines the career journey of a female entrepreneur from her early career working for corporations in 2002 to founding multiple companies between 2004-2018. It shows her progression from founding her first company in 2004 to building it up and starting new ventures, including dealing with the challenges of execution, priorities, customers, and scaling businesses. The document also discusses traits common to successful female entrepreneurs like determination, building a strong team, and having a support system to fall back on during difficult periods.
This document discusses three life lessons. The first is that success comes from being prepared to seize opportunities. The second is that failure and getting hurt are normal parts of life. The third encourages the reader to be curious, pay attention, have fun, and their life will turn out well.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
The document discusses migrating a monolith application to microservices. It outlines some common problems with monoliths like being hard to maintain and understand. The action plan is to gradually extract new or critical parts of the monolith into separate microservices over time, starting services for new features or critical parts of the existing application. It also recommends improving areas like monitoring, testing, and knowledge sharing as the migration occurs to more smoothly transition to a microservices architecture.
After an acquisition, Fleet Complete plans to merge the backend systems of the acquired companies by breaking up monolithic architectures into separate microservices based on feature domains. This will allow teams to independently choose technologies and processes while still coordinating product management. Proper documentation and modular code will facilitate data migration and collaboration between geographically dispersed teams using different technologies. The goal is to build flexibility for future acquisitions and place business needs over technical preferences.
Scientists meet Entrepreneurs - AI & Machine Learning, Kristjan Korjus, StarshipMobileMonday Estonia
The document discusses machine learning in industry. It describes a machine learning continuum with 5 steps from ad-hoc algorithms to deep neural networks. It discusses using data as a specification to iteratively make robots safer by increasing safety 2x, 10 times. It also mentions upcoming publication of a "Data as a specification" manifesto and conducting peer-reviewed analysis. The document is a presentation about machine learning approaches at a company that delivers packages via autonomous robots.
Scientists meet Entrepreneurs - AI & Machine Learning, Peeter Piksarv, Moonca...MobileMonday Estonia
Peeter Piksarv has a PhD in Physics from 2013 and worked as a postdoc from 2014 to 2016 before becoming a data scientist. He discusses how academics skills like taking lots of lectures to build knowledge, mastering the scientific method, conducting research, problem solving, and writing and presenting are useful for becoming a scientist. Piksarv's own work has involved bots, text classification, and a variety of projects that require an aptitude for learning, confidence facing unknown problems, and making evidence-based decisions.
Scientists meet Entrepreneurs - AI & Machine Learning, Tambet Matiisen, Unive...MobileMonday Estonia
AI is advancing rapidly and will have wide-ranging impacts. It is learning to perform tasks beyond perception like complex algorithms, databases, and user interfaces. For algorithms, neural networks can now replicate existing algorithms like Photoshop filters with constant time and memory usage, and their performance can be adjusted based on accuracy or speed needs. For databases, learned indexes can provide faster lookups and use less storage than traditional indexes. For user interfaces, AI is starting to automatically generate UI elements. To stay relevant, people should learn AI through available online courses.
Scientists meet Entrepreneurs - AI & Machine Learning, Dima Fishman, Universi...MobileMonday Estonia
The document discusses how deep learning is being applied in medicine and biology. It provides examples of deep learning being used to detect diabetic retinopathy and skin cancer at performance levels comparable to experts. While deep learning has achieved human-level performance in some medical image analysis tasks, it notes that applying deep learning to medicine faces challenges due to the complexity of medical data and difficulties obtaining large datasets due to privacy and cost issues.
The document discusses the benefits of exercise for both physical and mental health. Regular exercise can improve cardiovascular health, reduce symptoms of depression and anxiety, enhance mood, and reduce stress levels. Staying physically active for at least 30 minutes each day is recommended for significant health benefits.
This document discusses the challenges of developing space hardware and fitting into the global market. It identifies three main challenges for space hardware providers as finding customers, accessing finance, and availability of skilled staff. Additional challenges for developing space hardware in Estonia include long and expensive supply lines, restricted access to infrastructure and potential clients, and a shortage of senior space industry professionals. The document provides recommendations for addressing these challenges such as pursuing international education programs in space technology, participating in competitions, and choosing a start-up location strategically.
This document discusses Kappazeta's use of deep learning and satellite imagery to detect grassland mowing for agricultural subsidy verification. Some key points:
1) Kappazeta has developed an automated country-wide grassland mowing detection system using Sentinel-1/-2 satellite imagery time-series to help the Estonian Paying Agency verify subsidy claims as required by the EU Common Agricultural Policy.
2) The system provides 90% detection accuracy, 95% coverage of Estonia, and status updates within 24 hours using over 7TB of satellite images from 2017.
3) While the technology shows promise, the work involves many challenges including inconsistent data, limited training data, and complex software development
Copernicus is the European Union's Earth observation program that provides free and open access to data and processing tools. It includes a series of Sentinel satellites that monitor the Earth's land, atmosphere, oceans and climate. The document discusses accessing Copernicus data through tools like SNAP, QGIS and Pytroll. It also describes the six Copernicus services that provide thematic data products on topics like marine monitoring, land cover mapping, and emergency response.
Kair Käsper has worked as director of product marketing and previously ran digital projects at an advertising agency. He created and sold a digital agency, and now co-founded a SaaS company focusing on free trials. As director of product marketing, his responsibilities include customer and market research, competitor tracking, developing value propositions and messaging, pricing and packaging, and enabling sales and partnerships.
Machine learning can be used in marketing in supervised and unsupervised ways to better target customers. Supervised learning uses labeled training data to classify customers, while unsupervised learning finds hidden patterns in unlabeled data. These techniques can help analyze existing customers, detect the most valuable ones, prevent customer churn, recommend the right products to buyers, and power personalized email campaigns and creative marketing strategies.
The document discusses how marketing should focus on ideas and insights rather than directly marketing a company's product, which can be invisible to customers. It recommends that marketing generate answers to customer questions, share internal data insights, and ideas that can be packaged and marketed through blogs, syndication, social media, email marketing and retargeting to generate inbound leads for sales. An effective marketing stack is also needed that utilizes various tools to implement idea marketing and feedback loop between customers, sales, and marketing.
What Does it take to Develop Kickass Products?, Laura NoodaperaMobileMonday Estonia
This document summarizes the key findings from interviews conducted as part of a Jobs to be Done analysis of Teamweek, a project management tool. The interviews identified common habits, anxieties, and jobs among managers using paying workspaces. Key findings include that previous systems were often non-existent, creating a feeling of lost information and lack of control. Teamweek helps by providing an easy to use visual overview and collaboration features. Based on these findings, the company has rewritten its strategy and mission, is experimenting with new messaging, and has plans to create product stories and marketing opportunities.
What Does it take to Develop Kickass Products?, Britt MaasaluMobileMonday Estonia
This document discusses how to effectively work with external teams to create successful products. It identifies that external teams can include different offices within a company, freelancers, or external companies. Key obstacles include distance, cultural differences, and personal attributes. To overcome these challenges, the document recommends having team effort, self-discipline, leadership as a role model, team support, agreed upon processes, organized work, communication, and face-to-face meetings to build respect and trust. Potential downfalls include incompatibility, differing work methods, location/time zone issues, and lack of communication or motivation. With the right approach, the document concludes that external teams can be highly effective.
Triinu Sirge is an ergonomist who founded Ergoway OÜ to provide ergonomic and occupational health and safety services. She discusses how ergonomics can be used to improve work environments and reduce musculoskeletal disorders. Applying ergonomic principles such as adjustable equipment, standing desks, and taking breaks can help reduce issues like neck, back, and eye strain while increasing productivity and well-being.
The document outlines the challenges of starting a new business and surviving the "valley of death" period where many startups fail. It references several of the author's past startup attempts from 2012-2018 that ultimately failed ("R.I.P."). It quotes Jack Ma saying that while tomorrow may be bad and the next day worse, the day after tomorrow will be beautiful. The document emphasizes the need for resilience among entrepreneurs facing difficulties getting their businesses off the ground.
The document outlines the career journey of a female entrepreneur from her early career working for corporations in 2002 to founding multiple companies between 2004-2018. It shows her progression from founding her first company in 2004 to building it up and starting new ventures, including dealing with the challenges of execution, priorities, customers, and scaling businesses. The document also discusses traits common to successful female entrepreneurs like determination, building a strong team, and having a support system to fall back on during difficult periods.
This document discusses three life lessons. The first is that success comes from being prepared to seize opportunities. The second is that failure and getting hurt are normal parts of life. The third encourages the reader to be curious, pay attention, have fun, and their life will turn out well.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.