Understand the inner workings behind a LLM. As ChatGPT and LLMs are becoming more and more popular, how can you leverage this technology and what are they ways to use it past its limitations
SameAI LLC envisions disrupting the management consulting industry with generative AI solutions like expert systems based on fine-tuned LLMs. Some key problems are ChatGPT's hallucination issues and the high cost of dedicated model training. SameAI addresses this by developing RecapGPT for summarization to reduce hallucinations and collecting high-quality data with ChatGPT to fine-tune specialized models through ReinstructGPT for both general use and dedicated organizational experts.
The document discusses how automotive companies can gain a competitive advantage by leveraging big data analytics to better understand customer demand, monitor corporate performance, and identify new opportunities. It provides examples of how General Motors, Ford, and Toyota are already using big data from sensors in vehicles and other sources to improve products and services. The document argues that tapping large sources of data will help automotive companies find new ways to differentiate themselves and stay ahead in a highly competitive industry.
Gaining a Competitive Advantage using Analytics to Optimize your Digital Mark...Abbie Wong
The document discusses using analytics to optimize digital marketing. It begins with introductions to the presenter and an overview of marketing analytics. Common data sources for digital marketing analytics are described, including 1st, 2nd, and 3rd party data. Success in digital marketing can be measured in terms of sales, engagement, and campaign comparisons. The rest of the document focuses on classification models, comparing logistic regression to decision trees. It demonstrates how to select and operationalize these models, and how adding additional data sources can improve model performance.
Talk at Stanford HAI Workshop on "Measurement in AI Policy: Opportunities and Challenges", October 30, 2019, Stanford, USA
When we procure Machine Translation vendors for the multi-vendor MT solutions we build for enterprises, we run a lot of MT evaluation projects. We evaluate commercial MT systems on public and private data to find the best system for a specific language pair and domain. These evaluations are quite different from what you see in WMT benchmarks, as we evaluate commercial systems, which are optimized for economic efficiency and real-time performance.
Generative AI - The New Reality: How Key Players Are Progressing Vishal Sharma
The document discusses key players in generative AI and their progress. It provides an overview of generative AI including its evolution since 1950, where the spending is focused, how the technology works, and deployment models. It then profiles several major companies leading advancements in generative AI, including their strategies, growth areas, and risks. These companies are TSMC, Nvidia, Microsoft, Google, Amazon, Tesla, Oracle, Salesforce, SAP, and Palo Alto Networks.
Google’s smart reply mechanism uses ML extensively to create a next-generation email interface. It can automatically suggest three customized responses to each email that hits the inbox. It resulted in 10% of email replies sent via smart reply.
Selected Topics
Modern Artificial Intelligence 1980s-2021 and Beyond
A Vision for the Next Decade of Computing
The Next Decade in AI: Four Steps Toward Robust Artificial Intelligence
Keras and TensorFlow: The Next Five Years
A Vision for the Future of ML Frameworks
AI Implementation at Scale: Lessons from the Front Lines
A Future with Self-Driving Vehicles
Advances in Renewable Energy: Enabling Our Decarbonized Energy Future with Technology Innovations and Smart Operations
Accelerating Health Care at Bayer with Science@Scale and Federated Learning
Large-Scale Deep Learning Recommendation Models at Facebook
Is AI at the Edge the Killer App for 5G?
Deep Learning for Anomaly Detection
From Storytelling to StoryLiving: A Vision for the Future of Immersive Entertainment
A New Era in Virtual Cinematography
Digital Transformation Is Here: Augmenting Human Capacity with Exponential Compute
Rethinking Drug Discovery in the Era of Digital Biology
Representation Learning for Autonomous Robots
Architecting the Secure Accelerated Data Center of the Future
Convergence of AI and HPC to Solve Grand Challenge Science Problems
Presenting US HHS Artificial Intelligence Strategy 2021: AI Mission and Ambition Commentary by the CAIO
SameAI LLC envisions disrupting the management consulting industry with generative AI solutions like expert systems based on fine-tuned LLMs. Some key problems are ChatGPT's hallucination issues and the high cost of dedicated model training. SameAI addresses this by developing RecapGPT for summarization to reduce hallucinations and collecting high-quality data with ChatGPT to fine-tune specialized models through ReinstructGPT for both general use and dedicated organizational experts.
The document discusses how automotive companies can gain a competitive advantage by leveraging big data analytics to better understand customer demand, monitor corporate performance, and identify new opportunities. It provides examples of how General Motors, Ford, and Toyota are already using big data from sensors in vehicles and other sources to improve products and services. The document argues that tapping large sources of data will help automotive companies find new ways to differentiate themselves and stay ahead in a highly competitive industry.
Gaining a Competitive Advantage using Analytics to Optimize your Digital Mark...Abbie Wong
The document discusses using analytics to optimize digital marketing. It begins with introductions to the presenter and an overview of marketing analytics. Common data sources for digital marketing analytics are described, including 1st, 2nd, and 3rd party data. Success in digital marketing can be measured in terms of sales, engagement, and campaign comparisons. The rest of the document focuses on classification models, comparing logistic regression to decision trees. It demonstrates how to select and operationalize these models, and how adding additional data sources can improve model performance.
Talk at Stanford HAI Workshop on "Measurement in AI Policy: Opportunities and Challenges", October 30, 2019, Stanford, USA
When we procure Machine Translation vendors for the multi-vendor MT solutions we build for enterprises, we run a lot of MT evaluation projects. We evaluate commercial MT systems on public and private data to find the best system for a specific language pair and domain. These evaluations are quite different from what you see in WMT benchmarks, as we evaluate commercial systems, which are optimized for economic efficiency and real-time performance.
Generative AI - The New Reality: How Key Players Are Progressing Vishal Sharma
The document discusses key players in generative AI and their progress. It provides an overview of generative AI including its evolution since 1950, where the spending is focused, how the technology works, and deployment models. It then profiles several major companies leading advancements in generative AI, including their strategies, growth areas, and risks. These companies are TSMC, Nvidia, Microsoft, Google, Amazon, Tesla, Oracle, Salesforce, SAP, and Palo Alto Networks.
Google’s smart reply mechanism uses ML extensively to create a next-generation email interface. It can automatically suggest three customized responses to each email that hits the inbox. It resulted in 10% of email replies sent via smart reply.
Selected Topics
Modern Artificial Intelligence 1980s-2021 and Beyond
A Vision for the Next Decade of Computing
The Next Decade in AI: Four Steps Toward Robust Artificial Intelligence
Keras and TensorFlow: The Next Five Years
A Vision for the Future of ML Frameworks
AI Implementation at Scale: Lessons from the Front Lines
A Future with Self-Driving Vehicles
Advances in Renewable Energy: Enabling Our Decarbonized Energy Future with Technology Innovations and Smart Operations
Accelerating Health Care at Bayer with Science@Scale and Federated Learning
Large-Scale Deep Learning Recommendation Models at Facebook
Is AI at the Edge the Killer App for 5G?
Deep Learning for Anomaly Detection
From Storytelling to StoryLiving: A Vision for the Future of Immersive Entertainment
A New Era in Virtual Cinematography
Digital Transformation Is Here: Augmenting Human Capacity with Exponential Compute
Rethinking Drug Discovery in the Era of Digital Biology
Representation Learning for Autonomous Robots
Architecting the Secure Accelerated Data Center of the Future
Convergence of AI and HPC to Solve Grand Challenge Science Problems
Presenting US HHS Artificial Intelligence Strategy 2021: AI Mission and Ambition Commentary by the CAIO
Data Annotation in Machine Learning – Key Challenges and How to Overcome ThemAndrew Leo
Explore the complexities of data annotation for Machine Learning on Damco’s insightful page. Delve into the key challenges faced in this crucial process and uncover effective solutions. Our formal guide provides a comprehensive understanding, aiding businesses in refining their Machine Learning models. Stay informed and stay ahead in the dynamic realm of technology.
Information Technology Is Now Being Reshaped By Many Advance Technologies Rapidly Growing In The Market. Starting From Small Pin To Huge Machines These Innovative technical Trends Are Being Used Daily.
An Innovative Big-Data Web Scraping Tech CompanyRoger Giuffre
WebRobot is a London-based company that operates in the web scraping and mining industry. It aims to become a leader by building a scalable infrastructure for data acquisition as a web service, exploiting cloud computing and big data technologies. WebRobot's goal is to become a complete ETL service involving data extraction, web mining, machine learning, and big data analytics to help companies acquire and manage online data. The company is currently finalizing its first version and needs funding to further develop its algorithms and tools.
The document provides an introduction and background about the speaker, Kenichi Matsui. It discusses his career experience working for several large companies in software development, communications, and consulting. It then covers some of his current responsibilities related to data analysis and machine learning as a data scientist and group manager. Specific topics covered include an overview of data science skills and roles, machine learning techniques like classification and regression, and data analysis competitions.
Gain insight from the CA World ’14 keynote addresses of Michael Gregoire, CEO, and Amit Chatterjee, EVP, Enterprise Solutions and Technology of CA Technologies.
For more information on the latest DevOps, Management Cloud and Security solutions from CA Technologies, visit: http://bit.ly/1x4fVyO
Cloud-Based IoT Analytics and Machine LearningSatyaKVivek
Among the IT developments that have made it to the forefront in recent times, machine learning and IoT certainly stand out. As with most such technologies, integrating the two can help develop powerful IoT solutions and tackle complex challenges. More specifically speaking, machine learning can be leveraged in cloud based IoT analytics.
Considering this vital factors, with great enthusiasm Insights Success has shortlisted, “The 10 Most Innovative Automotive Tech Solution Providers 2019”, which are changing the world of automotive technology.
CloudCar is a platform company that provides voice-enabled infotainment services and machine learning capabilities to automakers to deliver a personalized in-vehicle experience. By integrating various cloud-based content providers and processing driver intent, CloudCar aims to simplify the infotainment experience for drivers while also allowing automakers to maintain control over their brand and data. Under the new leadership of CEO Philipp Popov, CloudCar is working with several global automakers and expanding its offerings to remain at the cutting edge of connected vehicle technology.
The document discusses how machine learning can help various industries like automotive. It provides examples of how ML can help with predictive maintenance, forecasting, risk assessment, marketing, finance, and operations. It also discusses challenges of ML adoption and how platforms can help address these challenges by democratizing ML and making it accessible for different roles. The future of automotive is expected to see a larger role for ML, especially with trends like shared mobility and electric vehicles.
- Audi views big data as playing a central role in helping the company achieve its goal of becoming the leading premium brand.
- Audi is pursuing big data projects across its entire value chain, from development to production to after-sales, to generate added value for customers through the intelligent analysis and interpretation of data.
- The company already has business intelligence capabilities but is enhancing areas like data management and analytics to incorporate new sources of big data like vehicle sensor data.
An Innovative Big-Data Web Scraping Tech CompanyRoger Giuffre
WebRobot is a London-based company that aims to become a leader in web scraping and mining by building a scalable infrastructure for customers to extract data from websites as a web service. The company aims to solve the challenge businesses face in collecting large amounts of unstructured data from the web in an affordable way. WebRobot's technology will integrate cloud computing, big data techniques, and data extraction algorithms to automatically gather and organize web data for customers in industries like e-commerce, financial services, and marketing. The founders have experience in this area and are seeking investment to further develop the technology and grow the business.
Patrick Couch - Intelligenta Maskiner & Smartare Tjänster IBM Sverige
Industriföretag, såväl tillverkare som användare av maskiner, fordon och utrustning, står inför ett paradigmskifte drivet av ökad global konkurrens, kunders förändrade efterfrågan samt det faktum att produkterna nu blir instrumenterade, ihopkopplade och mer intelligenta. Stora datamängder är inte ett buzzword för dessa företag, utan en reell verklighet som de behöver förhålla sig till för att säkra sin framtida verksamhet. I bästa fall omvandlar dessa företag denna teknologiska revolution (populärt kallad Internet of Things, Industrial Internet, M2M, Industri 4.0 etc.) till en motor för att utveckla verksamheten mot tillväxt och effektivare produktion. Detta skifte skapar framförallt stora möjligheter att förflytta sig mot leveranser av tjänster som kraftigt ökar mervärdet för kunderna, deras kunders kunder samt för producenten.
Internet of Things - Slides from ACC Conference on IoTAnand Agrawal
The document discusses the evolution of the Internet of Things (IoT) over time. It describes how devices and connectivity have progressed from mainframes to personal computers to mobile internet and are now moving towards IoT. IoT involves connecting physical devices over the internet which enables the collection and exchange of data. This evolution allows for new applications and business models across various industries as more "things" become connected. The document outlines some of the key technologies, architectures, challenges and opportunities involved in IoT.
2018 was a big year for innovation in emerging technologies and the trend will continue in 2019 with lots of exciting opportunities looking forward for us to grow tremendously. Let us look into technologies that will shake the market up.
Discover Practical AI use cases in Customer Service! In this webinar, you will learn how to lower the time to first response and time to resolution to keep your SLAs intact, as well as about chatbots, ticket tagging, and urgency detection. We will also mention some technologies, such as text recognition and sentiment analysis.
Mini Project AI in automotive industry ppt.pptxPragatiKumari66
This document discusses the use of artificial intelligence (AI) in the automotive industry. It provides an introduction to the automotive industry and AI, outlines advantages and disadvantages of AI, and challenges of applying AI to automotive such as complexity, localization, and security. To overcome AI challenges, the document recommends addressing them with a skilled vendor, testing solutions, training employees, and ensuring continuous algorithm improvement with subject matter experts. Overcoming challenges could lead to a revolutionary transformation of the automotive industry through AI.
How to Create 80% of a Big Data Pilot ProjectGreg Makowski
When evaluating Open Source Software, or other software of a certain size or complexity, organizations frequently want to conduct a Pilot project, or Proof of Concept (POC). This talk describes a process to reduce the length of the Pilot, by leveraging configurations from performance testing to POC starting configurations.
ADV Slides: Modern Analytic Data Architecture Maturity ModelingDATAVERSITY
Maturity frameworks have varying levels of Data Management maturity. Each level corresponds to not only increased data maturity, but also increased organizational maturity and bottom-line ROI. There are recommended targets to achieve an effective information management program. The speaker’s maturity framework sequences the information management activities for your consideration. It is based on real client roadmaps. This webinar promises to offer a wealth of ideas for key quick wins to benefit the organization’s information management program.
Attendees can self-assess their current information management capabilities as we go through data strategy, organization, architecture, and technology, yielding an overall view of the current level of information management maturity.
This webinar provides a foundation for enhancing current data and analytic capabilities and updating the strategy and plans for achievement of improved information management maturity, aligned with major initiatives.
Digital disruption and the future of the automotive industryPeter Tutty
Digital services centered on increasingly empowered consumers will bring disruption to the automotive industry.
Economic value within this industry and across adjacent markets will be forever altered. In a world where the future is far from certain, automotive companies will need to develop new core capabilities to survive.
What is going to happen next and how to respond? Download the report or explore the infographic, below.
Digital disruption and the future of the automotive industryPeter Tutty
Digital services centered on increasingly empowered consumers will bring disruption to the automotive industry.
Economic value within this industry and across adjacent markets will be forever altered. In a world where the future is far from certain, automotive companies will need to develop new core capabilities to survive.
What is going to happen next and how to respond? Download the report or explore the infographic, below.
The document discusses future skills and technologies that will be relevant in the next 5-10 years. It notes that the speed of networks and computers will continue increasing due to Moore's Law. Technologies like robotic process automation, artificial intelligence, and augmented reality are discussed as relevant emerging technologies. The document recommends learning skills like coding, critical thinking, and self-learning to stay relevant as jobs are automated and work becomes more project-based and location flexible through the gig economy.
Data Annotation in Machine Learning – Key Challenges and How to Overcome ThemAndrew Leo
Explore the complexities of data annotation for Machine Learning on Damco’s insightful page. Delve into the key challenges faced in this crucial process and uncover effective solutions. Our formal guide provides a comprehensive understanding, aiding businesses in refining their Machine Learning models. Stay informed and stay ahead in the dynamic realm of technology.
Information Technology Is Now Being Reshaped By Many Advance Technologies Rapidly Growing In The Market. Starting From Small Pin To Huge Machines These Innovative technical Trends Are Being Used Daily.
An Innovative Big-Data Web Scraping Tech CompanyRoger Giuffre
WebRobot is a London-based company that operates in the web scraping and mining industry. It aims to become a leader by building a scalable infrastructure for data acquisition as a web service, exploiting cloud computing and big data technologies. WebRobot's goal is to become a complete ETL service involving data extraction, web mining, machine learning, and big data analytics to help companies acquire and manage online data. The company is currently finalizing its first version and needs funding to further develop its algorithms and tools.
The document provides an introduction and background about the speaker, Kenichi Matsui. It discusses his career experience working for several large companies in software development, communications, and consulting. It then covers some of his current responsibilities related to data analysis and machine learning as a data scientist and group manager. Specific topics covered include an overview of data science skills and roles, machine learning techniques like classification and regression, and data analysis competitions.
Gain insight from the CA World ’14 keynote addresses of Michael Gregoire, CEO, and Amit Chatterjee, EVP, Enterprise Solutions and Technology of CA Technologies.
For more information on the latest DevOps, Management Cloud and Security solutions from CA Technologies, visit: http://bit.ly/1x4fVyO
Cloud-Based IoT Analytics and Machine LearningSatyaKVivek
Among the IT developments that have made it to the forefront in recent times, machine learning and IoT certainly stand out. As with most such technologies, integrating the two can help develop powerful IoT solutions and tackle complex challenges. More specifically speaking, machine learning can be leveraged in cloud based IoT analytics.
Considering this vital factors, with great enthusiasm Insights Success has shortlisted, “The 10 Most Innovative Automotive Tech Solution Providers 2019”, which are changing the world of automotive technology.
CloudCar is a platform company that provides voice-enabled infotainment services and machine learning capabilities to automakers to deliver a personalized in-vehicle experience. By integrating various cloud-based content providers and processing driver intent, CloudCar aims to simplify the infotainment experience for drivers while also allowing automakers to maintain control over their brand and data. Under the new leadership of CEO Philipp Popov, CloudCar is working with several global automakers and expanding its offerings to remain at the cutting edge of connected vehicle technology.
The document discusses how machine learning can help various industries like automotive. It provides examples of how ML can help with predictive maintenance, forecasting, risk assessment, marketing, finance, and operations. It also discusses challenges of ML adoption and how platforms can help address these challenges by democratizing ML and making it accessible for different roles. The future of automotive is expected to see a larger role for ML, especially with trends like shared mobility and electric vehicles.
- Audi views big data as playing a central role in helping the company achieve its goal of becoming the leading premium brand.
- Audi is pursuing big data projects across its entire value chain, from development to production to after-sales, to generate added value for customers through the intelligent analysis and interpretation of data.
- The company already has business intelligence capabilities but is enhancing areas like data management and analytics to incorporate new sources of big data like vehicle sensor data.
An Innovative Big-Data Web Scraping Tech CompanyRoger Giuffre
WebRobot is a London-based company that aims to become a leader in web scraping and mining by building a scalable infrastructure for customers to extract data from websites as a web service. The company aims to solve the challenge businesses face in collecting large amounts of unstructured data from the web in an affordable way. WebRobot's technology will integrate cloud computing, big data techniques, and data extraction algorithms to automatically gather and organize web data for customers in industries like e-commerce, financial services, and marketing. The founders have experience in this area and are seeking investment to further develop the technology and grow the business.
Patrick Couch - Intelligenta Maskiner & Smartare Tjänster IBM Sverige
Industriföretag, såväl tillverkare som användare av maskiner, fordon och utrustning, står inför ett paradigmskifte drivet av ökad global konkurrens, kunders förändrade efterfrågan samt det faktum att produkterna nu blir instrumenterade, ihopkopplade och mer intelligenta. Stora datamängder är inte ett buzzword för dessa företag, utan en reell verklighet som de behöver förhålla sig till för att säkra sin framtida verksamhet. I bästa fall omvandlar dessa företag denna teknologiska revolution (populärt kallad Internet of Things, Industrial Internet, M2M, Industri 4.0 etc.) till en motor för att utveckla verksamheten mot tillväxt och effektivare produktion. Detta skifte skapar framförallt stora möjligheter att förflytta sig mot leveranser av tjänster som kraftigt ökar mervärdet för kunderna, deras kunders kunder samt för producenten.
Internet of Things - Slides from ACC Conference on IoTAnand Agrawal
The document discusses the evolution of the Internet of Things (IoT) over time. It describes how devices and connectivity have progressed from mainframes to personal computers to mobile internet and are now moving towards IoT. IoT involves connecting physical devices over the internet which enables the collection and exchange of data. This evolution allows for new applications and business models across various industries as more "things" become connected. The document outlines some of the key technologies, architectures, challenges and opportunities involved in IoT.
2018 was a big year for innovation in emerging technologies and the trend will continue in 2019 with lots of exciting opportunities looking forward for us to grow tremendously. Let us look into technologies that will shake the market up.
Discover Practical AI use cases in Customer Service! In this webinar, you will learn how to lower the time to first response and time to resolution to keep your SLAs intact, as well as about chatbots, ticket tagging, and urgency detection. We will also mention some technologies, such as text recognition and sentiment analysis.
Mini Project AI in automotive industry ppt.pptxPragatiKumari66
This document discusses the use of artificial intelligence (AI) in the automotive industry. It provides an introduction to the automotive industry and AI, outlines advantages and disadvantages of AI, and challenges of applying AI to automotive such as complexity, localization, and security. To overcome AI challenges, the document recommends addressing them with a skilled vendor, testing solutions, training employees, and ensuring continuous algorithm improvement with subject matter experts. Overcoming challenges could lead to a revolutionary transformation of the automotive industry through AI.
How to Create 80% of a Big Data Pilot ProjectGreg Makowski
When evaluating Open Source Software, or other software of a certain size or complexity, organizations frequently want to conduct a Pilot project, or Proof of Concept (POC). This talk describes a process to reduce the length of the Pilot, by leveraging configurations from performance testing to POC starting configurations.
ADV Slides: Modern Analytic Data Architecture Maturity ModelingDATAVERSITY
Maturity frameworks have varying levels of Data Management maturity. Each level corresponds to not only increased data maturity, but also increased organizational maturity and bottom-line ROI. There are recommended targets to achieve an effective information management program. The speaker’s maturity framework sequences the information management activities for your consideration. It is based on real client roadmaps. This webinar promises to offer a wealth of ideas for key quick wins to benefit the organization’s information management program.
Attendees can self-assess their current information management capabilities as we go through data strategy, organization, architecture, and technology, yielding an overall view of the current level of information management maturity.
This webinar provides a foundation for enhancing current data and analytic capabilities and updating the strategy and plans for achievement of improved information management maturity, aligned with major initiatives.
Digital disruption and the future of the automotive industryPeter Tutty
Digital services centered on increasingly empowered consumers will bring disruption to the automotive industry.
Economic value within this industry and across adjacent markets will be forever altered. In a world where the future is far from certain, automotive companies will need to develop new core capabilities to survive.
What is going to happen next and how to respond? Download the report or explore the infographic, below.
Digital disruption and the future of the automotive industryPeter Tutty
Digital services centered on increasingly empowered consumers will bring disruption to the automotive industry.
Economic value within this industry and across adjacent markets will be forever altered. In a world where the future is far from certain, automotive companies will need to develop new core capabilities to survive.
What is going to happen next and how to respond? Download the report or explore the infographic, below.
The document discusses future skills and technologies that will be relevant in the next 5-10 years. It notes that the speed of networks and computers will continue increasing due to Moore's Law. Technologies like robotic process automation, artificial intelligence, and augmented reality are discussed as relevant emerging technologies. The document recommends learning skills like coding, critical thinking, and self-learning to stay relevant as jobs are automated and work becomes more project-based and location flexible through the gig economy.
Hybrid mobile apps combine native and web technologies. They have native shells and navigation with web content inside a webview. Perceived performance is important - users notice a 20% improvement in response times between 0.1 and 1 second. To improve button response, use fast click libraries or disable zooming. Network latency is a major factor in slow performance so reduce network requests and use compression. Offline support requires local caching and handling disconnected states. Testing, monitoring, and optimizing for performance is important for a good hybrid user experience.
The document discusses lean startup approaches such as prototyping and minimum viable products (MVPs) to validate ideas with customers quickly and efficiently. It outlines different types of prototypes including low and high fidelity prototypes and how personas can help focus products. The document also provides guidance on different MVP approaches and market types including existing, new, cloned, and niche markets.
The document provides tips and guidance for naming a company or product. It discusses the importance of a name and how people judge based on names. Choosing a name is both an art and a science that requires knowing your vision, position, and target market. The document recommends brainstorming with your team and researching name availability. Suggested resources for name inspiration include word origins, foreign languages, visuals, compound words, prefixes/suffixes, misspellings, and numbers. Testing names with friends and surveys is also advised.
The document discusses different approaches to developing a minimum viable product (MVP) based on the type of market. It outlines concierge, optimized, prototype, and reuse MVP strategies. For each market type - existing, new, cloned, and niche - the document describes the risk level, competition, and recommended MVP strategy. The key is to balance product development and traction building to achieve growth. Testing tools, agile methods, and measuring business value rather than hours or features can help optimize the MVP process.
This document discusses careers in software development. It outlines various roles within the software development lifecycle including programmers, testers, UI/UX designers, systems analysts, project managers, and more. Programmers make up the largest percentage of software company employees at 53%. The document also discusses popular programming languages and salary ranges for software roles in the Philippines, with developer salaries averaging $36,940. It concludes by advising those pursuing careers in software development to follow their passion and love their work.
Allan C. Tan has worked in various technology companies and is now a successful entrepreneur. He graduated with a degree in computer science in 1997 and enjoys programming. In 2005, he began freelancing and exploring business opportunities. In 2007, he started his first company, Ideyatech, which focused on Java programming. The company grew organically through referrals. In 2011, he opened a BPO business called BPSource but sold it in 2013. By 2014, Ideyatech employed over 50 programmers. Tan advises becoming an entrepreneur if you are passionate and willing to work long hours, as it allows for limitless creativity and potential to change the world, though the income is unknown.
This document summarizes an event on natural language processing (NLP) research held at De La Salle University on February 22, 2014. It discusses companies and technologies that use NLP, including Siri, Judicata, Summly, and SRI International. It also covers trends in social media, mobile, cloud, and big data technologies as relevant to NLP applications.
This document discusses transforming justice systems in developing countries through the use of technology. It notes that justice is key to a nation's development but that many cases in developing nations can take years to resolve. The author details how they have transformed some of the highest courts in their home country of the Philippines through technology and aim to make the solutions available nationwide to 80 million Filipinos. They believe technology can help address delays in justice and help developing countries progress.
Responsive Web Design (RWD) is an approach to web design that makes web pages render well on a variety of devices and screen sizes. It utilizes a flexible layout, flexible images and media queries. Adopting RWD allows a website to automatically adapt its content and layout depending on different screen sizes and orientations. This provides users with an optimized viewing and interaction experience, whether browsing with a desktop computer, tablet or mobile phone.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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
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.
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.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
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.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
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.
2. Agenda
04
Now, lets go through actual
programming of extending GPT
using Streamlit and Langchain.
02
TransformerModel
How does GPT work and what
makes iit work?
Hands-OnCoding
03
What are the different
approaches to extend GPT for
different use cases.
01
ABriefHistory
Let’s talk about how it all
started and GPT evolves.
GPTArchitectures
3. ABriefHistory
Origins date back in 60s
Evolution of neural network
POS-Tagger (2011, C.Manning, etc.)
Transformer Model (2017, Viswani, etc)
ChatGPT (Nov 2022, OpenAI)
6. The bank interest increase this year.
I have no interest in buying your car.
Butlanguageiscomplex
Happy, not sad.
Sad, not happy.
I have no interest in buying a new car because
the interest rate is high.
11. Raw Data Pre-training Model
(Embeddings)
Inference Response
User Query
TrainingvsInference
12. Approaches
03
SupervisedFineTuning
Updating the base model to include
proprietary corpus and examples.
02
RetrievalAugmented
Generation
Saving embeddings of large
documents and searching them for
retrieval and generation.
01
PromptEngineering
Issuing different prompts (text) to
GPT to generate the desired result.
04
ReinforcedLearning
fromHumanFeedback
Optimization of weights by giving
rewards based on human feedback
and updating the model.