Artificial Intelligence in e-commerce sector. This ppt explain that how can artificial intelligence helps in the growth of E-commerce industry. It includes pros and cons also.
Pattern Recognition is the branch of machine learning a computer science which deals with the regularities and patterns in the data that can further be used to classify and categorize the data with the help of Pattern Recognition System.
“The assignment of a physical object or event to one of several pre-specified categories”-- Duda & Hart
Pattern Recognition System is responsible for generating patterns and similarities among given problem/data space, that can further be used to generate solutions to complex problems effectively and efficiently.
Certain problems that can be solved by humans, can also be made to be solved by machine by using this process.
This presentation educates you about Artificial intelligence, How does AI work?, 3 Cognitive Skills, Why is artificial intelligence important?, Advantages and Disadvantages, Strong AI vs. weak AI, 4 Types of artificial intelligence and applications of AI.
For topics stay tuned with Learnbay.
Artificial Intelligence in e-commerce sector. This ppt explain that how can artificial intelligence helps in the growth of E-commerce industry. It includes pros and cons also.
Pattern Recognition is the branch of machine learning a computer science which deals with the regularities and patterns in the data that can further be used to classify and categorize the data with the help of Pattern Recognition System.
“The assignment of a physical object or event to one of several pre-specified categories”-- Duda & Hart
Pattern Recognition System is responsible for generating patterns and similarities among given problem/data space, that can further be used to generate solutions to complex problems effectively and efficiently.
Certain problems that can be solved by humans, can also be made to be solved by machine by using this process.
This presentation educates you about Artificial intelligence, How does AI work?, 3 Cognitive Skills, Why is artificial intelligence important?, Advantages and Disadvantages, Strong AI vs. weak AI, 4 Types of artificial intelligence and applications of AI.
For topics stay tuned with Learnbay.
Artificial Intelligence for Business - Version 2Nicola Mattina
This presentation is part of a workshop that will help you understand artificial intelligence tools and how they can be employed across your organization.
Lectures and activities are customized considering the background of the participants to highlight the use of artificial intelligence in a specific industry and in three different areas: product development, customer care, business operations.
Workshop structure
120’ lectures
2 activities to apply the concepts
1 practical toolkit
What's holding back Artificial Intelligence? While researchers rightly focus on better algorithms, there are a lot more things to be done. We'll discuss why AI needs a new, interdisciplinary approach, how it will be used, and what we've learned from our recent State of AI industry survey.
Atal school program robotixlab research academyrobotixlab
Atal Tinkering Labs is a part of the government's flagship Atal Innovation Mission (AIM), the tie-up with Intel will lead to the creation of laboratories at schools aimed at teaching skills such as computational thinking, adaptive learning, physical computing and developing a design mindset among students between 12-18 years of age.
The best programming language for Artificial Intelligence and Machine Learning🖥 Anna Danilec
As a developer or a person interested in Machine Learning and Artificial Intelligence, you can find out which programming language will be the best for you to start and which one is the most common in this part of IT.
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , Categories of AI, Types of AI, disadvantages , benefits , applications .
We hope it to be useful .
What Is Machine Learning? | What Is Machine Learning And How Does It Work? | ...Simplilearn
This presentation on Machine Learning will help you understand what is Machine Learning, Artificial Intelligence vs Machine Learning vs Deep Learning, how does Machine Learning work, types of Machine Learning, Machine Learning pre-requisites and applications of Machine Learning. Machine learning is a core sub-area of artificial intelligence. Machine Learning is a technique which uses statistical methods enabling machines to learn from their past data. it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. While the concept of machine learning has been around for a long time, the ability to apply complex mathematical calculations to big data has been gaining momentum over the last several years. Now, let us get started and understand the concept of Machine Learning in detail.
Below topics are explained in this "What is Machine Learning?" presentation:
1. Machine Learning
- What is Machine Learning
2. Artificial intelligence vs Machine Learning vs Deep Learning
3. How does Machine Learning work?
4. Types of Machine Learning
5. Machine Learning pre-requisites
6. Applications of Machine Learning
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modelling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbours, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems.
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers
2. Information Architects
3. Analytics Professionals
4. Graduates
Learn more at https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course
IoT is an interconnectivity paradigm that aspires to connect everything in order to give a seamless user experience. Starting with end consumer, there are plenty of use cases for IoT solutions. Before building an end-to-end IoT solution, it is important for you to build an architectural understanding. This introductory module on IoT is aimed to provide you the necessary foundations like architecture to get you started. Added to that, this module also covers IoT workflow setup in some popular cloud platforms like AWS and non-functional considerations like performance and security.
GlobalSouthTech - AI Strategies for Cambodia (11 sep2018)Slash
Presentation at the GlobalSouthTech event on 11 Sep 2018 in Phnom Penh.
It touches on:
- major tech trends and AI in particular
- how AI will change industries (and regions)
- how Cambodia can adopt AI solutions
- what the challenges are for Cambodia to do so both from a data and a talent point of view
- how we propose forward thinking companies can help address those challenges
- an example of our specific open-source initiative www.cambodia.ai to help address this
Startup Jungle | lets ai cambodia together 04 August 2018Slash
This is the launch event of “Cambodia AI”, an open-source AI community to develop AI skills in Cambodia, initiated by Slash (www.slash.co).
We invite all engineers who are interested in AI to join us for regular AI talks, skill workshops and a Cambodian-based support community to answer questions.
For decision-makers and investors, the first part of the talk will cover business topics.
Artificial Intelligence for Business - Version 2Nicola Mattina
This presentation is part of a workshop that will help you understand artificial intelligence tools and how they can be employed across your organization.
Lectures and activities are customized considering the background of the participants to highlight the use of artificial intelligence in a specific industry and in three different areas: product development, customer care, business operations.
Workshop structure
120’ lectures
2 activities to apply the concepts
1 practical toolkit
What's holding back Artificial Intelligence? While researchers rightly focus on better algorithms, there are a lot more things to be done. We'll discuss why AI needs a new, interdisciplinary approach, how it will be used, and what we've learned from our recent State of AI industry survey.
Atal school program robotixlab research academyrobotixlab
Atal Tinkering Labs is a part of the government's flagship Atal Innovation Mission (AIM), the tie-up with Intel will lead to the creation of laboratories at schools aimed at teaching skills such as computational thinking, adaptive learning, physical computing and developing a design mindset among students between 12-18 years of age.
The best programming language for Artificial Intelligence and Machine Learning🖥 Anna Danilec
As a developer or a person interested in Machine Learning and Artificial Intelligence, you can find out which programming language will be the best for you to start and which one is the most common in this part of IT.
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , Categories of AI, Types of AI, disadvantages , benefits , applications .
We hope it to be useful .
What Is Machine Learning? | What Is Machine Learning And How Does It Work? | ...Simplilearn
This presentation on Machine Learning will help you understand what is Machine Learning, Artificial Intelligence vs Machine Learning vs Deep Learning, how does Machine Learning work, types of Machine Learning, Machine Learning pre-requisites and applications of Machine Learning. Machine learning is a core sub-area of artificial intelligence. Machine Learning is a technique which uses statistical methods enabling machines to learn from their past data. it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. While the concept of machine learning has been around for a long time, the ability to apply complex mathematical calculations to big data has been gaining momentum over the last several years. Now, let us get started and understand the concept of Machine Learning in detail.
Below topics are explained in this "What is Machine Learning?" presentation:
1. Machine Learning
- What is Machine Learning
2. Artificial intelligence vs Machine Learning vs Deep Learning
3. How does Machine Learning work?
4. Types of Machine Learning
5. Machine Learning pre-requisites
6. Applications of Machine Learning
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modelling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbours, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems.
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers
2. Information Architects
3. Analytics Professionals
4. Graduates
Learn more at https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course
IoT is an interconnectivity paradigm that aspires to connect everything in order to give a seamless user experience. Starting with end consumer, there are plenty of use cases for IoT solutions. Before building an end-to-end IoT solution, it is important for you to build an architectural understanding. This introductory module on IoT is aimed to provide you the necessary foundations like architecture to get you started. Added to that, this module also covers IoT workflow setup in some popular cloud platforms like AWS and non-functional considerations like performance and security.
GlobalSouthTech - AI Strategies for Cambodia (11 sep2018)Slash
Presentation at the GlobalSouthTech event on 11 Sep 2018 in Phnom Penh.
It touches on:
- major tech trends and AI in particular
- how AI will change industries (and regions)
- how Cambodia can adopt AI solutions
- what the challenges are for Cambodia to do so both from a data and a talent point of view
- how we propose forward thinking companies can help address those challenges
- an example of our specific open-source initiative www.cambodia.ai to help address this
Startup Jungle | lets ai cambodia together 04 August 2018Slash
This is the launch event of “Cambodia AI”, an open-source AI community to develop AI skills in Cambodia, initiated by Slash (www.slash.co).
We invite all engineers who are interested in AI to join us for regular AI talks, skill workshops and a Cambodian-based support community to answer questions.
For decision-makers and investors, the first part of the talk will cover business topics.
2020: In this presentation made on the 3rd March 2020, for the graduate and post-graduate students of SRM University, Ramapuram, Chennai (India), Venkatarangan Thirumalai had presented on the various job roles and career options available in the field of AI and Machine Learning.
Venkat is a member of the "Professional Speakers Association of India" and delivers engaging talks for leading corporates and startups. To check his availability contact him through tncv.me or twitter: @venkatarangan.
IoT, AI, ML Mix or How to Deal with New Technologies (Borys Pratsiuk Technolo...IT Arena
Lviv IT Arena is a conference specially designed for programmers, designers, developers, top managers, inverstors, entrepreneurs and startuppers. Annually it takes place at the beginning of October in Lviv at Arena Lviv stadium. In 2016 the conference gathered more than 1800 participants and over 100 speakers from companies like Microsoft, Philips, Twitter, UBER and IBM. More details about the conference at itarena.lviv.ua.
Slash - the future is faster than you think (tech trends, new models and leg...Slash
Talk given in Feb2019 to a law firm in Cambodia about the Future is Faster than you Think. Covering 4 major areas:
1) Our exponential digital future including 4 forces driving the acceleration of the future
2) the Age of AI
3) Industry Case Studies: Legal Tech and FinTech (Digital Assets)
4) New models for Digital Innovation including Venture Building
Top 10 Trending Technologies To Master In 2021LokeshLusifer
Change is the only constant. This applies to your professional life as well. Upskilling Yourself is needed nowadays, the reason is pretty simple, technology is evolving very quickly? I have listed the top trending technologies which are expected to acquire a huge market in 2021.
2. You can also the link for getting special offers and related article
A presentation on how to lead the AI era with Microsoft Cloud. For the event: AI, Data, and CRM: Shaping Business through Unique Experiences. By Silia Sideri
Want to make a career in artificial intelligence? AI Artificial Intelligence, One of the most important terms that you should know if you really want to be the part of future and competition. AI has the potential and power to increase your productivity, it can help you to create new jobs, and also it can help you to raise your living Standards. So, if you are interested in making a career in artificial intelligence as an AI engineer, then you come to the right place because, in this blog, I will discuss all the important aspects of a career in AI (artificial intelligence). So, let’s get started!!
Ajit Jaokar, Data Science for IoT professor at Oxford University “Enterprise ...Dataconomy Media
“Enterprise AI - Artificial Intelligence for the Enterprise."
AI is impacting many areas today. This talk discusses how AI will impact the Enterprise and what it means in the near future. The talk is based on my course I teach at the University of Oxford.
[DSC Europe 22] On the Aspects of Artificial Intelligence and Robotic Autonom...DataScienceConferenc1
Autonomy in targeting is a function that could be applied to any intelligent system, in particular the rapidly expanding array of robotic systems, in the air, on land and at sea – including swarms of small robots. This is an area of significant investment and emphasis for many armed forces, and the question is not so much whether we will see more intelligent robots, but whether and by what means they will remain under human control. Today’s remote-controlled weapons could become tomorrow’s autonomous weapons with just a software upgrade. The central element of any future autonomous weapon system will be the software. Military powers are investing in AI for a wide range of applications10 and significant efforts are already underway to harness developments in image, facial and behavior recognition using AI and machine learning techniques for intelligence gathering and “automatic target recognition” to identify people, objects or patterns. Although not all autonomous weapon systems incorporate AI and machine learning, this software could form the basis of future autonomous weapon systems.
Slash | Intro to Investment for Engineers (Apr2021)Slash
Internal Slash talk during our weekly Friday sessions. The objective of this 30-min talk was to give some of the team who are new to personal investment, some basic framework.
Topics included:
- Risk & Return on investment
- Compound interest
- Inflation and store of value
- Leverage (and over-leverage)
- Investment mix
- Passive income
+ quick tips (Stocks, Property, Startups, Crypto)
Slash | 500 startups Lean Canvas workshop for Social Enterprises (17 Oct2020)...Slash
Workshop delivered by Andries (Slash) for 500Startups program for the Singapore National Youth Action Challenge focused on business models for Social Enterprises. Delivered virtually for around 65 teams and 200+ participants.
Slide 64 onwards was the part delivered by Andries.
Content includes:
- user personas
- testing and validation of your user needs
- lean canvas
- business models for Social Enterprises.
Slash | The Age of Acceleration and the Great Societal ShiftSlash
In this internal Slash talk (2019) we covered:
1) the underlying dynamics that accelerate the exponential change we're seeing across society, tech and climate.
2) We summarized 2 books and highlighed key ideas:
- Thank you for being late (Thomas Friedman)
- Homo Deus (Yuval Noah Harari)
3) the implication for Slash
Slash | The Venture Builder Playbook (5 may2021)Slash
Talk delivered to tech and corporate community on the Venture Builder Playbook.
We covered:
1) Why Venture Building is the new "growth" strategy for corporates worldwide
2) Flavors of Venture Building
3) The Venture Builder Playbook (at a high level)
Playbook on "how to build a B2B sales machine" aka how to build a "US$100M business". Delivered this talk with a few organizations including R3 Corda Seed+Series-A Startups, B Work Bali startup community.
A few topics covered included:
⮞ Christoph Janz’ / Boris Wertz animal framework on how your hunting strategies differ for customers at different ARPA level
⮞ the anatomy of #growth engines
⮞ Deep dive into the #B2B outbound playbook for seed level #startups with limited budgets.
Slash | 500Startups mentoring - product expansion and localization in Southea...Slash
How to expand and customize your product across Southeast Asia (SEA)?
This 2h workshop was delivered for a founder audience of global pre-Series A and Series-A startups (invested by 500 Startups, the VC), expanding into SEA.
The frameworks, mental models, tools and techniques described can be used to generally refresh your value proposition and product for your core markets.
Delivered 12 Feb 2020 in Singapore by Andries De Vos, CEO of Slash.
Internal office talk at Slash about "The Future is Faster than you Think" based on the original presentation of Dr Peter Diamandis of Singularity University.
Part of a series of talks by Slash (www.slash.co) CEO Andries De Vos on how new partnership models are emerging and will drive an explosion of companies and enable new tech joint venture opportunities.
This talk was held at Collision 8, on 27 Nov 2018. Other speakers on building tech joint ventures included Eric Saint-Andre, the CEO of Augmented Tribe, and Pietro Ventani, the MD of APP Advisers.
Slash - the Startup Studio Playbook (13 dec2018)Slash
New models for collaboration emerge between corporates, startups and investors.
In his keynote at the Asia Startup Summit, Slash CEO Andries De Vos shares how Slash (www.slash.co) has developed a startup studio model which can be applicable to corporates, investors and entrepreneurs.
A broad-ranging introduction into Blockchain, the Mental Models to use to think about its implications (Blockchain as a Database, as a City and as a Continent); and a technical introduction into the key ingredients to build a blockchain as well as dApps.
Startup Jungle Cambodia | User Experience Design, Done Right!Slash
What is user experience design, user-centric design and design thinking?
Whether you are new to product development and service design, or a reigning pro, this workshop will help you understand how design can help you improve your service and build better products, with both concepts and actual case studies you can apply to your work.
Startup Jungle Cambodia | How to Get Your First 100 CustomersSlash
Why do customers buy a product or a service?
How can you create a growth machine that finds those customers?
Whether you are new to Lean Startup and Business Development frameworks, or a sales pro, the workshop will help you understand the anatomy of business development and growth.
PART 1
In part 1 of the talk, we will provide you with overarching framework to think about your business, your product / market fit, and your customers, including the type of customers you are targeting: Whales, Elephants, Deers, Rabbits, Mices or Microbes and why that matters. We will also cover some systematic business development processes to help you find the right customers.
PART 2
After the break, in part 2, we will have several business development mentors you can approach and consult with your business challenges.
The talk is primarily aimed at businesses that are building a product, though most of the concepts can be applied to business who sell Services (their time).
Startup Jungle Cambodia | How to Build your First Machine Learning ApplicationSlash
The objective of the introductory workshop is to show you how Machine Learning (ML) is get started with building your first ML application. In the process we hope to give you a glimpse of how ML is going to revolutionize the world.
This workshop was given in front of 120 Cambodian engineers on 6 December 2017, at the inaugural Startup Jungle session in Phnom Penh. Startup Jungle is a tech startup learning community run by pioneering companies in the Phnom Penh ecosystem, to train for free the next generation of startupers and tech leaders.
### Part 1:
Introduction into AI and how to introduce it in your business. Examples of Slash AI projects. Target audience: business and technical :)
### Part 2:
Build your first ML application. Target audience: technical :)
- Hands-on technical workshop for developers, to show how to build your own neural net step by step. We will apply it to several examples.
- Brief introduction into advanced techniques to optimize ML algorithms, training & data sets, classifiers and parsers.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Is cambodia ready for AI?
1. Last updated: 22 May 2018
Is Cambodia ready for Artificial Intelligence?
Prepared for the Ministry of Posts and Telecommunications
IABC Conference in Phnom Penh
49. 49
What AI applications can we
build for Cambodia?
Classify & Clean
Big Data
Smart
Recommendations
Chatbots for Staff,
Customers, Students
Prediction Systems
e-KYC
(Know Your Customer)
Monitoring
Fraud Detection etc
Mapping