Download to read offline
More Related Content
Similar to From Code to Commerce, a Backend Java Developer's Galactic Journey into Ecommerce.pptx
More from Jamie Coleman
From Code to Commerce, a Backend Java Developer's Galactic Journey into Ecommerce.pptx
- 1. From Code to Commerce ABackend Java Developer’s Galactic Journey into E-Commerce
- 2. 2 Name: Jamie Lee Coleman CurrentRole: Senior Developer Advocate @ Loqate Past Experiences: Developer in Mainframe Software, Java Application Servers, JVM’s @ IBM Developer Advocate @ IBM & Sonatype Twitter/X: @Jamie_Lee_C LinkedIn: https://www.linkedin.com/in/jamie-coleman/ Introduction Who am I?
- 3. 3 01 02 03 04 05 06 07 08 09 10 11 My Journey intoE-commerce My Mainframe Days My WebSphere Days My Cloud/MicroProfile Days My Energy Efficiency Days My DevSecOps Days My AI Days E-commerce & UX E-commerce & AI E-commerce & Open Source Overview Todays Agenda Contents
- 4. 4 4 01 My journeyinto e-commerce
- 5. 5 Back-end Engineer DevOps Engineer Front-endEngineer Time I have Spent on Different Parts of the Software Stack My Journey Software Developer on Mainframes Container release Developer (WebSphere) MicroProfile & OpenJ9 Developer Relations Engineer for Java Developer Relations Engineer for DevSecOps Developer Relations Engineer for Front-end
- 6.
- 7.
- 8.
- 9.
- 10.
- 11. Liberty • Developer friendly •Just enough application server • Fast inner loop with dev mode • Support for industry standard dev tools • Jakarta EE, Java EE, MicroProfile APIs • Zero Migration • Cloud Ready • Container optimized • Designed for dev/ops • Small disk footprint • Efficient memory usage • Fast startup • High throughput • Self-Tuned Thread Pool
- 12. <feature>servlet-4.0</feature> <feature>jsf-2.3</feature> Just Enough ApplicationServer You control which features are loaded into each server instance Kernel servlet-4.0 http-2.0 appmgr jsp-2.3 jsf-2.3 Java EE/Jakarta EE
- 14. Quarkus Unified Configuration Zero config,live reload Streamlined code for the 80% common usages Native Execution Support for many libraries such as MicroProfile
- 15.
- 16.
- 17.
- 18. How the cloudhas changed the JVM $ $ $ $ $
- 19. Cloud computing energy =money Money changes everything With a measurable and direct relationship between $£€¥₽ and CPU/RAM, disk etc the financial success or failure of a project is even easier to see And that means… Even more focus on value for money and as a result focus on energy.
- 20.
- 21. Time Lag Over-Peak usage Doesn’tfit new model Costs $ Costs more $ Memory Throughput @Jamie_Lee_C
- 22. Time More like thisplease Memory Throughput @Jamie_Lee_C
- 23. To save energy,cloud demands: • Small runtime memory footprint • Small deployment sizes • Fast starting applications • No resource usage when idle
- 24. Demand One big serverrunning all the time? time What the Cloud offers
- 25. Demand One big serverrunning all the time? time What the Cloud offers
- 26. Demand time One big serverrunning all the time? What the Cloud offers
- 27.
- 28. Many metrics mustbe balanced for Java Performance •Wide variety of use cases means many metrics must be balanced •Different goals different design decisions •No single “right” answer •Must keep a balance make sensible trade-offs •Key performance metrics tracked •start-up time •ramp-up time •memory footprint •response time •CPU/Throughput Optimizing for cloud requires a different balance across these performance metrics start-up time footpr ramp-up response time CPU
- 29.
- 30. JAVA ME REQUIREMENTS Smallfootprint - On disk and runtime. - Very limited RAM, usually more ROM Fast startup - Everybody wants their games to start quickly Quick / immediate rampup - Game shouldn’t play better the longer you play Java ME
- 31. JAVA ME REQUIREMENTSJVM IN THE CLOUD REQUIREMENTS Small footprint - On disk and runtime. - Very limited RAM, usually more ROM Small footprint - Improves density for providers - Improves cost for applications Fast startup - Everybody wants their games to start quickly Fast startup - Faster scaling for increased demand Quick / immediate rampup - Game shouldn’t play better the longer you play Quick / immediate rampup - GB/hr is key, if you run for less time you pay less money Java ME vs the JVM in the Cloud
- 32.
- 33. 3 What is MicroProfile? ●Eclipse MicroProfile is an open-source community specification for Enterprise Java microservices ● A community of individuals, organizations, and vendors collaborating within an open source (Eclipse) project to bring microservices to the Enterprise Java community microprofile.io
- 34.
- 35. 3 MicroProfile Community Video Hang outs Bi-Weekly& Quarterly General com munity Meetings MicroProfile Projects Google Gr oups YouTube C hannel
- 36.
- 37.
- 38. 38 MicroProfile 3.3 Stack JSON-B1.0 JSON-P 1.1 CDI 2.0 Config 1.4 Fault Tolerance 2.1 JWT Propagation 1.1 Health Check 2.2 Metrics 2.3 Open Tracing 1.3 Open API 1.1 JAX-RS 2.1 Rest Client 1.4
- 39.
- 40.
- 41. 41 41 USA: 5x more fires5x longer
- 42. 42 42 July 2019 wasthe warmest month EVER worldwide
- 43. 43 43 Now July 2021is the warmest month EVER worldwide @Jamie_Lee_C
- 44.
- 45.
- 46.
- 47.
- 48. No more doomand gloom please!
- 49. 49 Some Random FactsAbout Data Centers
- 50. 50 50 IBM UK’s Hursley Development Datacenter 524racks ~4500 systems
- 51. There are over7,500 major data centers worldwide, with over 2,600 in the top 20 global cities alone. With just over 300 locations, London England has the largest concentration of data centers in any given city across the globe. The Natural Resources Defense Council (NRDC) estimates that data centers consume up to 3% of all global electricity production.
- 52. 52 52 Putting Things Into Perspective Theinformation consumed by internet traffic every hour is enough to fill 7 million DVDs That is enough to Scale mount Everest 95 times PER HOUR!
- 53. 53 53 There is over 500,000data centers worldwide The area of land they consume is around the same as 6,000 football pitches
- 54. 54 54 Environmental Impacts ofData Centers
- 55. 1/3 of alldata passes through the cloud! Currently we produce 1.2 trillion GB’s of data per year Over the next decade, datacenters could use 1/5 of the whole world's energy supply! That is a lot of Energy!
- 56.
- 57.
- 58. 58 58 Bitcoin == carbonfootprint of Denmark
- 59. 59 59 1 bitcoin transaction== 761,118 VISA transactions
- 60. 60 60 1 bitcoin transaction== 50,741 hours of watching Youtube
- 61.
- 62. 62 62 In 2017 USdata centres used 90 billion kWh
- 63. 63 63 45,000,000,000 x 1smart phone x 1 year
- 64. 64 64 UK energy consumptionx 1.5 == global data centre energy consumption.
- 65.
- 66. 66 66 What are DataCenter/Cloud owners doing to reduce their carbon footprint?
- 67. 67 67 Amazon How AWS startedthe Cloud revolution https://aws.amazon.com/about-aws/sustainability/
- 68.
- 69. 69 69 Google Google reached 100%renewable energy for both datacenter and office operations in August of 2017.
- 70.
- 71.
- 72. 72 72 Past, Current andFuture tech to the rescue?
- 73.
- 74.
- 75. 75 75 IBM zSeries 50% Power consumptionof x86 (30% more performance)
- 76. 76 76 What Can YouDo As a Software Developer?
- 77.
- 78.
- 79. 79 time One big serverrunning all the time? Demand
- 80. 80 Demand time One big serverrunning all the time?
- 81.
- 82. 82 82 Real World Example 175MVisits/Month 50M Unique Visitors/Month 2.5 Billion Interactions/Year 88% Interactions are Digital 48% Digital Sales on Mobile Devices
- 83. 83 83 Real World Example •Conversion rate UP by 1.6x (from 1.9% to 3.1%) • Page response time improved from 7-10 seconds to 2-3 seconds • Runs using 1/8th of Infrastructure • Deployment time improved from 4-8 hours to 30 minutes • Developers are 20-40% more productive • Order completion improved from 41 minutes to 27 minutes
- 84.
- 85.
- 86. 86 Optimizing your code (JavaExamples)
- 87. 87 87 Use StringBuilder toconcatenate Strings programmatically rather than StringBuffer
- 88. 88 88 Use primitives wherepossible Use an int instead of an Integer and a double instead of a Double. Your JVM can store the value in the stack instead of the heap to reduce memory consumption and handle it more efficiently.
- 89. 89 89 Try to avoidBigInteger and BigDecimal BigInteger and BigDecimal require much more memory than a simple long or double and slow down all calculations dramatically.
- 90. 90 90 I created a Kubernetes Cluster Iforgot about it for a week That cost $500
- 91.
- 92.
- 93.
- 94. 94 How the DeathStar was constructed The Death star is made up of many components Different components come from different planets/colonies Each of those planets/colonies are spread across the galaxy The components are then transported across the galaxy They are then put together to build the Death Star at the location of the emperors choosing Once the build is complete it is tested to make sure everything is working as expected (destroy the planet Alderan) When the emperor is happy, it is moved into production (Destroy more planets like Endor and the rebels)
- 95. 95 How our applicationsare constructed Our applications are made up of many different dependencies Different open source dependencies come from different people/orgs Each of those dependencies are created across the world The dependencies are then transported across the internet to your dev environment They are then put together via Maven or Gradle etc to build your application at a location of your choosing (usually locally on your dev machine)
- 96. 96 How our applicationsare constructed Once the build is complete, it is tested to make sure your application is functioning as expected When you team lead/release manager is happy, it is then deployed into production
- 97. See any similaritieswith the Death Star? Open Source committers = planets/colonies under the Empire developing components of the Death Star Dependencies = components of the Death Star Application testing = Firing of the weapon for the first time Evil Emperor = Team Lead/Release Manager
- 98. But what ismissing? Have a think while we see why open source is great
- 99. Brief History ofOpen Source A-2 system in 1953 - First commercial example of Open Source DECUS formed 1955 – Facilitate sharing of software (SHARE OS by General Motors) Advance Research Projects Agency Network (ARPANET) – Used to share code and later succeeded by the Internet Launch of the GNU project 1983 – To write an OS free from constraints on source code Linux 1991 – The first freely modifiable kernel was born Debian GNU/Linux 1993 – First OS was born OpenJDK 2006 – Java commits to Open Source and releases OpenJDK under the GNU licence Git 2005 – Created by Linux kernel developers GitHub 2008 – Worlds most used DVCS hosting site Android 2008 – Worlds most used mobile OS (Now owned by Google)
- 100. Sharing = better! 90%of the applications we create are shared dependencies!
- 101. Dependency Managment 150 Dependencies(avg Java project) 10 Releases Per Year (avg per dependency) 1500 Updates To Consider 😱 x
- 102. Direct vs TransitiveDependency Example: org.springframework.boot:spring-boot-starter-web
- 103. Dependency Exploitation Dependency confusion Attempts toget a Different version added into a binary repository Often “latest” Typo- squatting A lookalike domain, dependency with one or two wrong or different characters Open source repo attacks Attempts to get malware or weaknesses added into dependency source via social or tools Build Tool attacks Attempts to get malware into the tools that are used to produce dependencies Automated Social Engineering
- 104.
- 105. Problems facing theDeath Star • Many components are built in remote locations • Keeping track of how they are built, and the quality is difficult for the Empire • The Death Star is very complex and vulnerability testing is an afterthought as the empire is overconfident that they have no vulnerabilites • When the rebels started to attack, this is when the empire realised, they had a major vulnerability • By this point it was too late and the rebels took full advantage to destroy all the hard work the empire had done to create such a magnificent piece of engineering
- 106.
- 107. Cyber Crime Facts In2016 Cybercrime surpassed the drug trade! $450 Billion a year $14,000 a second Equivalent to 50 US Nimitz Class Aircraft carriers
- 108.
- 109. Cyber Crime Facts In2022! $6 Trillion a year! $200,000 a second Equivalent to 620 US Nimitz Class Aircraft carriers!
- 110. If Cybercrime wasa country by GDP in 2022 United States: $20.89 trillion China: $14.72 trillion Cyber Crime: $6 trillion Japan: $5.06 trillion Germany: $3.85 trillion India: $2.65 trillion United Kingdom: $2.63 trillion France: $2.58 trillion
- 112. Devices allowed tocontain OS code: IEC 62304
- 113. Be Proactive ratherthan Reactive “If no other manufacturing industry is permitted to ship known vulnerable or defective parts in their products, why should software manufacturers be any different?” – Brian Fox CTO/Founder of Sonatype
- 114. US - NationalCyber Secuirty Stratagy In another historic move, the US government is calling for generational investments to: • Renew infrastructure. • Secure software and semiconductor supply chains. • Modernize cryptographic technologies. In a nutshell the themes for this new strategy are as follows: • Software providers and data owners held responsible under cybersecurity liability • Realigned long-term investment in cybersecurity will have a focus on the future • A drive to invest in security resilience starts with every digital ecosystem • Coordinated vulnerability disclosures and SBOMs are still a best practice. Get your SBOM below.
- 115. EU - CyberResilience Act Main points of this legislation: • Essential cybersecurity requirements • Requirement for any digital products on the market and includes things such as good practices for example: “products must protect the availability of essential functions, including the resilience against and mitigation of denial of service attacks” • Vulnerability handling requirements • Requirement for how to handle vulnerabilities with the use of policies for example: “once a security update has been made available, manufacturers must publically disclose information about fixed vulnerabilities and have a policy in place on coordinated vulnerability disclosure” • Extra requirements for Critical products • There are two classes of critical products. Class 1 includes stuff like password management, traffic and identity systems. Class 2 includes operating systems for servers, desktops and mobile devices. • Conformity of products and information and instructions to users • Requirement of software to conform to certain requirements such as Technical documentation that is available before release and is updated throughout the software lifecycle that includes stuff such as a security risk assessment and reports of tests related to vulnerabilities. It also needs to be clear and understandable to the user and includes stuff like a point of contact for reporting vulnerabilities etc. • Reporting obligations • The requirement here is to notify the ENISA within 24h of becoming aware of a actively exploited vulnerability contained in the product. Users should also be notified without undue delay and if possible you should provide them with information about fixes to said vulnerabilities. • Obligations on the rest of the supply chain • Requirements for importers of software that what they have imported has abided by the obligations in the CRA.
- 116. UK – PSTI TheProduct Security and Telecommunications Infrastructure (PSTI) Bill: • Require manufacturers, importers and distributors to ensure that minimum security requirements are met in relation to consumer connectable products that are available to consumers. • Provide a robust regulatory framework that can adapt and remain effective in the face of rapid technological advancement, the evolving techniques employed by malicious actors, and the broader international regulatory landscape. Main points of this bill Ban default passwords. •Products that come with default passwords are an easy target for cyber criminals. Require products to have a vulnerability disclosure policy. •Security researchers regularly identify security flaws in products, but need a way to give notice to manufacturers of the risk they have identified, so that they can enable the manufacturer to act before criminals can take advantage. The Bill will provide measures to help ensure any vulnerabilities in a product are identified and flagged. Require transparency about the length of time for which the product will receive important security updates. •Consumers should know if their product will be supported with security updates, and if so, what the minimum length of time is that they can expect that support to continue.
- 117. What is SoftwareComposition Analysis? https://foojay.io/today/sboms-and-software-composition-analysis/
- 118. What is SoftwareComposition Analysis?
- 119. SCA Tools Basic toolswill provide: • List of declared dependencies • Basic information such as latest version available More advanced tools will provide: • Transitive dependencies • Vulnerability & Licence data • Project scoring • Visualisations • Licence data • Produce SBOMs
- 120. How would SCAwork for the Death Star? https://foojay.io/today/sboms-and-software-composition-analysis/
- 121. SCA Tools forthe Death Star Basic tools will provide: • List of declared components • Basic information such as latest version available More advanced tools will provide: • Transitive components • Vulnerability & Licence data (not that the empire would care about licences) • Project scoring (How reliable is each planet building the components) • Produce CBOMs (Component BOMs)
- 122. SBOM To TheRescue?
- 123. Easy ways togenerate an SBOM 1.CycloneDX Maven Plugin 2.Kubernetes bom 3.Microsoft’s SBOM Tool 4.SPDX SBOM Generator 5.Syft 6.Sonatype Lifecycle
- 124. Simple ways forIdentifying vulnerable projects
- 125. Easy ways toImprove Security • Code Review • Binaries outside of projects • Dependencies pinned to a specific version • Secure Branches
- 126. Small mistake canhave big impacts!
- 127.
- 128. Timeline of AI Turing Machine/T est 1950 ELIZA Chatbot 1966 Logic Theorist 1955 Eugene Goostman 2014 IBM DeepBlue 1997 WABOT-1 1972 Roomba 2002 IBM Watson 2011 ChatGPT 2022
- 129. The Turing Test Originallycalled the imitation game by Alan Turing A test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human If a human could not distinguish the difference between human and AI then the AI would have passed the test 1
- 130. 13 0 IBM Deep Blue Developmentstarted in 1985 It lost its first attempt at beating Garry Kasparov with 2 to IBM and 4 to Garry It was upgraded in 1997 to once again challenge Garry It then beat the world chess champion Garry Kasparov 6 Matches over several days 2 to IBM, 1 to the champion and 3 draws
- 131. IBM Watson A questionanswering machine of natural language The computer system was initially developed to answer questions on the quiz show Jeopardy. In 2011 it played against champions Brad Rutter and Ken Jennings, winning the first-place prize of 1 million USD. In 2013 it has been used in healthcare to diagnose patients among other things.
- 132. Eugene Goostman Possibly themost advanced chatbot of its time Developed in Saint Petersburg in 2001 by a group of three programmers, Vladimir Veselov, Eugene Demchenko, and Sergey Ulasen. Goostman is portrayed as a 13-year-old Ukrainian boy—characteristics that are intended to induce forgiveness in those with whom it interacts for its grammatical errors and lack of general knowledge. In 2005 & 2008 it finished 2nd in Turing test competitions In 2014 on the 60th anniversary of Turin death it convinced 33% of the judges it was human. Some declare this as passing the Turing test.
- 133. ChatGPT Released on November2022 by OpenAI In January 2023, it became the fastest growing consumer application in history Many other ChatBot systems are based of this technology such as Googles BARD It has a tendency to confidently provide inaccurate information. The dark side of ChatGPT In order to train it against stuff like (sexual above, violence, racism, sexism etc) OpenAI outsources this training to Kenyan workers for less than $2 an hour. The outsourced laborers were exposed to such toxic and dangerous content that they described the experience as "torture".
- 134. Image/Video Generation withAI Generative Fill with Adobe
- 135. Uses for AIand Developers
- 136. Developer Productivity Codesnippets Works withJava, Python, C++… Creates error-prone and performance-optimized codes GitHub Copilot Offers intelligent coding suggestions for code snippets, functions, and methods while coding Integrates seamlessly with renowned code editors, including VS Code, JetBrains, and more.
- 137. Developer Productivity AutoRegex Optimizes regularexpression to enhance the performance of the application Converts English language to RegEx using Natural Language Processing (NLP) Mintlify Understanding complicated functions and generating documentation. Quickly generating comments to understand what someone else’s function is doing.
- 138.
- 139.
- 141.
- 142.
- 143. What is E-Commerce? E-Commerce 14 3 “Electroniccommerce, or e- commerce, is the buying and selling of goods and services over the internet. E-commerce can be conducted on computers, tablets, smartphones, and other smart devices.”
- 144. Can you guesswhat the 1st ever example of e-commerce was? E-Commerce 14 4 “The first recorded instance of eCommerce was in 1971 when students at Stanford University used the ARPANET (the precursor to the internet) to buy and sell marijuana. This early experiment was short-lived, however, as the university soon shut down the operation.”
- 145. Can we guesswhat the 1st ever example of e-commerce was? E-Commerce 14 5 “The first recorded instance of eCommerce was in 1971 when students at Stanford University used the ARPANET (the precursor to the internet) to buy and sell marijuana. This early experiment was short- lived, however, as the university soon shut down the operation.”
- 146. 14 6 Early e-commerce The e-commerce revolution Futureof e-commerce The History of E-Commerce History of e-commerce 1971 - ARPANET used to sell weed at Stanford University 1979 - Michael Aldrich connect a modified domestic television to a real-time multi-user transaction processing computer via a telephone line. 1991 – Sir Tim Berners- Lee debuts the WWW 1992 – 1st Online book store using a dialup bulletin board 1994 – 1st ever online e-commerce transaction between 2 friends selling a Sting CD 1995 – The birth of Amazon & eBay 2004 – The birth of Shopify
- 147. 14 7 147 Online shopping was inventedin pioneered in 1979 by entrepreneur Michael Aldrich in the United Kingdom. Aldrich was able to connect a modified domestic television to a real-time multi-user transaction processing computer via a telephone line. The August 12, 1994 issue of New York Times, appropriately titled “Internet is Open” chronicled the sale between two friends of a Sting CD. The Times said, “The team of young cyberspace entrepreneurs celebrated what was apparently the first retail transaction on the Internet.” Book Stacks Unlimited, an online bookstore created by Charles M. Stack in 1992, was one of the earliest consumer shopping experiences. Stack’s store began as a dial-up bulletin board three years before Amazon was founded. In 1994, Book Stacks Unlimited moved to the Internet as Books.com. Early Digital Shopping History of e-commerce
- 148. 14 8 148 In 1995, JeffBezos launches Amazon, the business to become the world’s largest eCommerce marketplace. It was initially started as an eCommerce platform for books. That same year the famous security protocol SSL was launched, which helped make online sales more secure. In 2004, Tobias Lutke and Scott Lake launched Shopify as an eCommerce platform for online stores and point-of-sale systems. It is now the platform of choice for ~80% of all eCommerce brands globally. It was the first shopping cart software of its kind. In 1998, PayPal was started by four founders - Max Lebhin, Peter Thiel, Luke Nosek, and Ken Howery. It was a money transfer tool that later merged with Elon Musk’s online banking company in 2000. The new era of the World Wide Web History of e-commerce
- 149. 14 9 E-commerce is showing nosigns of slowing down History of e-commerce In Trillions of USD
- 150. 15 0 Top e-commerce growth Countries Historyof e-commerce Retail e-commerce sales compound annual growth rate (CAGR) from 2025 to 2029, by country
- 151.
- 152. 15 2 Pre Digital Era EarlyDigital Era Modern UX UX Has Been Around A Very Longggg Time! Evolution of UX 152 4000 BC - Feng Shui and the importance of space 500 BC - The Ancient Greeks and ergonomics Early 1900s - Frederick Winslow Taylor and the quest for workplace efficiency 1940s - Toyota and the value of human input 1955 - Henry Dreyfuss and the art of designing for people 1966 - Walt Disney and the first UX designer? 1970s - Xerox, Apple and the PC era 1995: Donald Norman gives UX design it’s name 2010 Onwards – Modern UX design
- 153. Importance of UXin e-commerce UX in e-commerce 15 3 User experience (UX) is crucial in e- commerce as it directly impacts customer satisfaction, retention, and conversion rates. A good UX design ensures that users can easily navigate the website, find products, and complete purchases.
- 154. Difference between UX& UI UX in e-commerce 15 4
- 155. Difference between UX& UI UX in e-commerce 15 5
- 156. Importance of UXin e-commerce UX in e-commerce 15 6 1. Intuitive Navigation 2. Responsive Design 3. Fast Loading Times 4. Clear Product Descriptions 5. Easy Checkout Process
- 157. Examples of GoodUX Design UX in e-commerce 15 7 • Amazon: Simple and efficient search functionality • Apple: Clean and visually appealing product pages • Shopify: User-friendly interface for both customers and merchants
- 158. Examples of GoodUX Design UX in e-commerce 15 8 1. Intuitive Navigation 2. Responsive Design 3. Fast Loading Times 4. Clear Product Descriptions 5. Easy Checkout Process
- 159. Examples of BadUX Design UX in e-commerce 15 9 • Complex Navigation • Intrusive Pop-ups • Poorly Designed Forms • Lack of Mobile Optimization • Unclear Error Messages • Slow Load Times • Inconsistent Design
- 160. What Good UXcan Achive UX in e-commerce 16 0 • Increased Customer Satisfaction • Higher Conversion Rates • Improved Brand Loyalty • Reduced Cart Abandonment Rates
- 161. 16 1 161 06 AI ine-commerce
- 162. How can AIhelp? AI in e-commerce 16 2 • Personalized product recommendations. • Pricing optimization. • Enhanced customer service. • Customer segmentation. • Smart logistics. • Sales and demand forecasting.
- 163. Personalized Product Recommendations AIin e-commerce 16 3 Websites that recommend items you might like based on previous purchases use machine learning to analyse your purchase history. Retailers rely on machine learning to capture data, analyse it, and use it to deliver a personalized experience, implement a marketing campaign, optimize pricing, and generate customer insights.
- 164. Pricing Optimization AI ine-commerce 16 4 AI-enabled dynamic pricing is a strategy of changing your product price based on supply and demand. With access to the right data, today’s tools can predict when and what to discount, dynamically calculating the minimum discount necessary for the sale.
- 165. Enhanced Customer Service AIin e-commerce 16 5 With virtual assistants and chatbot technology, you can deliver the appearance of higher touch customer support. While these bots aren’t completely self-reliant, they can facilitate simple transactions, leaving live support agents able to focus on more complex issues. Virtual agents also have the advantage of being available 24/7, so low-level questions and issues can be addressed at any time of day, without making your customer wait.
- 166. Customer Segmentation AI ine-commerce 16 6 In an insight from Accenture, they write, “AI systems can explore highly complex and varied options for customer engagement very quickly, and continuously optimize their performance as more data becomes available. This means marketers can set parameters and allow the AI to optimize and learn to achieve precision.
- 167. Smart Logistics AI ine-commerce 16 7 According to a report from Emerging Tech Brew, “Machine learning’s predictive powers shine in logistics, helping to forecast transit times, demand levels, and shipment delays.” Smart logistics or intelligent logistics, is all about using real-time information through sensors, RFID tags, and the like, for inventory management and to better forecast demand. Machine learning systems become smarter over time to build better predictions for their supply chain and logistics functions.
- 168. Sales and DemandForecasting AI in e-commerce 16 8 A recent McKinsey report suggests that investment in real-time customer analytics will continue to be important to monitor and react to shifts in consumer demand that can be harnessed for price optimization or targeted marketing.
- 169. Don’t Let AIgo Rogue! AI in e-commerce 16 9
- 170.
- 171. Introduction to Open-SourceE-Commerce Solutions Open-source & E-commerce 17 1 Open-source e-commerce platforms provide users full access to their source code, allowing customization and control over the online store's design and functionality. Benefits: Cost-effective: Typically free to download and use. Customizable: Modify the platform to meet specific business needs. Scalable: Suitable for small businesses to large enterprises. Community Support: Strong developer communities for support and extensions
- 172. Popular Open-Source E-CommercePlatforms Open-source & E-commerce 17 2 WooCommerce: Built for WordPress. Powers over 37% of online stores. Extensive plugin ecosystem. Magento: Highly customizable. Suitable for large-scale businesses.
- 173. Popular Open-Source E-CommercePlatforms Open-source & E-commerce 17 3 OpenCart: User-friendly interface. Supports multiple languages and currencies. PrestaShop: Feature-rich. Strong community support. Zen Cart: Easy to set up. Good for small to medium-sized businesses.
- 174. Java-Based E-Commerce Solutions Open-source& E-commerce 17 4 Elastic Path: Features: API-first approach. Utilizes Java and Spring Framework. Offers robust security and modular architecture. Advantages: High performance and scalability. Reliable and agile. Shopizer: Features: Headless commerce. REST API for e-commerce operations. Advantages: Easy integration with other systems. Active community and regular updates.
- 175. Choosing the RightPlatform Open-source & E-commerce 17 5 Considerations: Technical Expertise: Level of customization and development skills required. Business Size: Scalability and feature set. Community and Support: Availability of plugins, extensions, and developer support. Recommendations: Small Businesses: WooCommerce, OpenCart. Medium to Large Businesses: Magento, Elastic Path. Tech-Savvy Teams: Shopizer.
- 176.
- 177. E-commerce popularity willcontinue to grow! Takeaways Recap AI is a great tool for use in e-commerce UX design is very important! AI can go rogue and your company maybe held liable Bad UX design can lead to less sales and customers Pick the right e-commerce platform for your needs/skills Good UX design helps with brand loyaly and customer retention Always choose open-source!
- 178.
- 179. Links to informationin this presentation Links 17 9 • https://www.investopedia.com/terms/e/ecommerce.asp • https://www.mayple.com/resources/ecommerce/history-of-e commerce • https://careerfoundry.com/en/blog/ux-design/the-fascinating- history-of-ux-design-a-definitive-timeline/ • https://www.loqate.com/en-gb/use-cases/deliveries/ • https://www.bigcommerce.com/articles/ecommerce/ecomme rce-ai/ • https://www.sellerscommerce.com/blog/ecommerce-statistic s/
- 180.
- 181. 18 1 Thank you Mainz Twitter/X:@Jamie_Lee_C LinkedIn: https://www.linkedin.com/in/jamie-coleman/ Get in Touch It is great to be back!
Editor's Notes
- #12 The server configuration allows you to control which features are loaded into a given server instance at a very fine-grained level, so you get exactly the function you want and no more.
- #19 - Accountants → connection between size and cost more visible
- #20 JIT profiling – takes time to “warm up” Memory also peaks towards end of warm up
- #27 So many JVM’s
- #29 Anyone remember J2ME?
- #45 UK = 38.7 degrees
- #67 AWS exceeded 50% renewable energy usage for 2018. 14 new Solar and wind projects 100% renewable by 2025 Largest corporate buyer of renewable energy in the US and the world
- #68 Talk about data centre fungshway IBM had previously pledged 55% renewable by 2025. In 2020 this had already been reached so the pledge has been upgraded to 75% by 2025 which on past trends should also be exceeded.
- #70 Carbon Neutral and remove carbon from atmosphere The European Marine Energy Centre is a test site for experimental tidal turbines and wave energy converters that generate electricity from the movement of seawater. Tidal currents there travel up to nine miles per hour at peak intensity and the sea surface regularly roils with 10-foot waves that whip up to more than 60 feet in stormy conditions. Onshore, wind turbines sprout from farmers’ rolling fields and solar panels adorn roofs of centuries-old homes, generating more than enough electricity to supply the islands’ 10,000 residents with 100 percent renewable energy. A cable from the Orkney Island grid sends electricity to the datacenter, which requires just under a quarter of a megawatt of power when operating at full capacity. Better reliability than on land using special atmosphere Not sure about all datacentres in the ocean…. Would this not warm up the ocean?
- #71 Carbon Neutral across all businesses (Inc manufacturing) by 2030 Apple is constructing one of the largest battery projects in the country inCalifornia Flats Capable of storing enough to power over 7,000 homes for one day.
- #73 Mention been around for a while and programs work at low level languages such as assembler. CICS efficient for this reason
- #77 Talk about scaling quickly
- #87 When you are programmatically adding new stuff to your String, for example in a for-loop, you should use the StringBuilder. StringBuilder provides better performance than StringBuffer but it is not thread-safe and might not be a good fit for all use cases.
- #116 The Product Security and Telecommunications Infrastructure (PSTI) Bill
- #126 What is the difference between these two lines of code? *pause* One is a vulnerability and one is not. These aren’t big changes, anyone can make this type of mistake CVE-2022-3602 An off by one error in the punycode decoder allowed for a single unsigned int overwrite of a buffer which could cause a crash and possible code execution. vulnerability might be described as CRITICAL if “remote code execution is considered likely in common situations”. This was not the case for this CVE as it was unlikely in common system configurations. Secondly, many modern platforms implement stack overflow protections which would mitigate against the risk of remote code execution and usually lead to a crash instead. Examples of protection from following best practices. Source: https://www.openssl.org/blog/blog/2022/11/01/email-address-overflows/ https://github.com/openssl/openssl/commit/3b421ebc64c7b52f1b9feb3812bdc7781c784332
- #128 Year 1955: An Allen Newell and Herbert A. Simon created the "first artificial intelligence program"Which was named as "Logic Theorist". This program had proved 38 of 52 Mathematics theorems, and find new and more elegant proofs for some theorems. Year 1966: The researchers emphasized developing algorithms which can solve mathematical problems. Joseph Weizenbaum created the first chatbot in 1966, which was named as ELIZA. Year 1972: The first intelligent humanoid robot was built in Japan which was named as WABOT-1. Year 2014: In the year 2014, Chatbot "Eugene Goostman" won a competition in the infamous "Turing test."
- #136 Code smartly and quickly using the GPT-4 engine Natural Language Processing (NLP) used for coding Store and fetch codes securely whenever you need it Creates error-prone and performance-optimized codes Provides Intelligent coding suggestions for the developers Integrates with other developer-friendly tools and platforms Share code with the entire team and collaborate in development with your code-base Ensures high-quality code by preventing syntax errors, code style violations, and other issues. Code snippets tailored for specific languages and frameworks (codinPython, Java, C++, and more) Can self-learn from previous code snippets used by developers and suggest personalized codes.