Find Your Passion and Make a Difference in Your CareerAlbert Y. C. Chen
20180314 at National Taiwan Normal University.
Reflection on my own career from being inspired to work on CV/ML research during my graduate studies at NTNU, then going abroad to obtain my Ph.D. and later on my career in this field. The talk emphasizes on the importance of innovation and how to realize ones new ideas within large and small organizations.
Tips for would-be founders, technical or non-technical, before rolling up their sleeves and develop their products! From various ways of "pretotyping" to accurately gauge target customer's response, lean method, minimum viable product, feature selection, planning a product with robust data cycle, coping with delays, and guiding a team of rockstar engineers to build the right product and build the product right. Some personal experienced shared at the end as case studies.
AI gold rush, tool vendors and the next big thing
2017/12/27 at Mediatek
- Overview of booming AI applications, from media, entertainment, e-commerce, autonomous driving, surveillance, industrial inspection, medical imaging, bioinformatics, finance, etc., along with expert predictions of their market size and growth.
- Dissect the applications with largest size and growth into their technical components and their unmet demands.
- Among all the unmet demands and uncertainties in this AI gold rush, what should an IC design company do? I’ll briefly cover NVIDIA’s case, which most of us know well already, then supplement case studies of Qualcomm, Intel, Google TPU and other smaller firms.
Even when we have a clear target, it takes years for supporting libraries and software to be properly optimized. I’ll share some thoughts and personal experiences on how to make sequentially-ordered hardware/software/library optimization happen faster and in parallel, and the tools that the IC design house need to provide in order for it to happen.
Machine Learning Foundations for Professional ManagersAlbert Y. C. Chen
20180804@Taiwan AI Academy, Hsinchu
6 hour lecture for those new to machine learning, to grasps the concepts, advantages and limitations of various classical machine learning methods. More importantly, to learn the skills to break down large complicated AI projects into manageable pieces, where features and functionalities could be added incrementally and annotated data accumulated. Take home message: machine learning is always a delicate balance between model complexity M and number of data N so that the trained classifier generalizes well and does not overfit.
The document discusses business models for AI startups. It suggests that vertical AI startups that solve industry-specific problems by combining AI and subject matter expertise have advantages over general purpose AI companies. These include developing full stack products, proprietary data, and ensuring AI delivers core value. The document also notes factors important for success include choosing a large target market, technical advantages over general purpose AI, and building competitive advantages in business, data, technology, speed and team. Timing is also critical for opportunities in venture capital investment and customer needs.
Find Your Passion and Make a Difference in Your CareerAlbert Y. C. Chen
20180314 at National Taiwan Normal University.
Reflection on my own career from being inspired to work on CV/ML research during my graduate studies at NTNU, then going abroad to obtain my Ph.D. and later on my career in this field. The talk emphasizes on the importance of innovation and how to realize ones new ideas within large and small organizations.
Tips for would-be founders, technical or non-technical, before rolling up their sleeves and develop their products! From various ways of "pretotyping" to accurately gauge target customer's response, lean method, minimum viable product, feature selection, planning a product with robust data cycle, coping with delays, and guiding a team of rockstar engineers to build the right product and build the product right. Some personal experienced shared at the end as case studies.
AI gold rush, tool vendors and the next big thing
2017/12/27 at Mediatek
- Overview of booming AI applications, from media, entertainment, e-commerce, autonomous driving, surveillance, industrial inspection, medical imaging, bioinformatics, finance, etc., along with expert predictions of their market size and growth.
- Dissect the applications with largest size and growth into their technical components and their unmet demands.
- Among all the unmet demands and uncertainties in this AI gold rush, what should an IC design company do? I’ll briefly cover NVIDIA’s case, which most of us know well already, then supplement case studies of Qualcomm, Intel, Google TPU and other smaller firms.
Even when we have a clear target, it takes years for supporting libraries and software to be properly optimized. I’ll share some thoughts and personal experiences on how to make sequentially-ordered hardware/software/library optimization happen faster and in parallel, and the tools that the IC design house need to provide in order for it to happen.
Machine Learning Foundations for Professional ManagersAlbert Y. C. Chen
20180804@Taiwan AI Academy, Hsinchu
6 hour lecture for those new to machine learning, to grasps the concepts, advantages and limitations of various classical machine learning methods. More importantly, to learn the skills to break down large complicated AI projects into manageable pieces, where features and functionalities could be added incrementally and annotated data accumulated. Take home message: machine learning is always a delicate balance between model complexity M and number of data N so that the trained classifier generalizes well and does not overfit.
The document discusses business models for AI startups. It suggests that vertical AI startups that solve industry-specific problems by combining AI and subject matter expertise have advantages over general purpose AI companies. These include developing full stack products, proprietary data, and ensuring AI delivers core value. The document also notes factors important for success include choosing a large target market, technical advantages over general purpose AI, and building competitive advantages in business, data, technology, speed and team. Timing is also critical for opportunities in venture capital investment and customer needs.
This document provides an overview of artificial intelligence and IBM's cognitive solutions presented by Phil Salm from CDW. It discusses the history and evolution of AI, including early concepts in the 1950s, challenges in the 1970s-1980s, and recent advances. Salm describes IBM's Watson APIs and demos their visual recognition and personality insights APIs using a robot named Little Dub. He also shares an example of Seton Healthcare using NLP models on unstructured data to better predict patient readmissions.
Steve blank moneyball and evidence-based entreprenuership Stanford University
The document discusses the Lean Startup methodology and the development of an Investment Readiness Level (IRL) framework analogous to NASA's Technology Readiness Level. It describes how the IRL evaluates a startup's progress based on data, moving from the initial hypothesis stage through validating the problem and solution fit, and product/market fit on both sides of the Business Model Canvas. The IRL is intended to quantify risk levels for startups based on evidence gathered through customer development and experimentation.
The document discusses several important considerations for companies looking to implement artificial intelligence, including developing an AI transformation playbook, assessing an organization's AI maturity, anticipating costs and timing, deciding whether to build or buy AI solutions, and addressing important legal and ethical issues around explainability, privacy, fairness, and safety. The document provides guidance on how companies can effectively lead their organization into the AI era by establishing the right strategies, processes, and safeguards.
Neo4j Innovation Lab - Accelerate Innovation through Graph ThinkingNeo4j
The document discusses using graph thinking and Neo4j's Innovation Lab to accelerate innovation. The Innovation Lab uses design thinking methodologies like prototyping over 4-day workshops to generate graph data models and use cases. This helps companies improve scalability, break down data silos, and enhance user experience by modeling relationships in their data.
The document outlines an AI Orange Belt training program that covers:
1. Technical prerequisites to understand AI foundations and how AI works in practice.
2. Tactics and methods for implementing AI at the product level, including finding new use cases and roadmapping implementations.
3. Strategy and governance for thinking about AI as a leader, manager, and citizen, including considerations for innovation and implications across verticals.
The training will cover basics of AI like definitions, projects, and implications, as well as strategies for innovation and management of AI projects. Learners will gain an understanding of AI techniques and how to apply AI in practice at an introductory level.
IAB How to Build Brands Online event - Video - Nick Higgins, InnovidIAB Australia
With the increase of new creative formats and rich media options, marketers are seeing the potential of online and mobile marketing as an efficient and cost effective tool for building brands. On 25 July, attendees learned how to use the key digital elements to build your brand online.
Shared at "Data-Driven Design for User Experience" with Le Wagon Tokyo, 25 Aug
https://www.meetup.com/ja-JP/Le-Wagon-Tokyo-Coding-Station/events/280067831/
In UX design, data means the voice of users (customers) and actionable insights that are beyond just numbers. Hearing these voices through user research and usage analytics is a critical process of building a human-centric design. Based on data-driven design, UX designers, product managers, and even senior management can listen to the inner voice of users and extrapolate those to discover a user journey for clear call-to-action and unwavering customer loyalty.
At this webinar, our guest speaker Emi Kwon, UX Design Director at Metlife, will walk you through the basics of data-driven design as well as share some tips and tricks for making data-driven design your value proposition as a product manager/ UX specialist.
Agenda:
✔️ Data ecosystem — Data lake, data warehouse…what does it mean for UX?
✔️ Small data and big data — the opportunities and pitfalls
✔️ Research method basics — qualitative, quantitative or triangulated
✔️ Usage analytics and A/B testing
✔️ What about COVID-19 and remote usability testing?
Forward Looking BI: The Future of Decision MakingInside Analysis
The Briefing Room with Dr. Robin Bloor and IBM Business Analytics
Live Webcast on June 17, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=56bf8e3cbf90e205142eac90d889bb4d
The storyline on business intelligence is solid: companies of all sizes use it to gain insight and improve decision making. Still, organizations are always looking for ways to further optimize the business and accelerate growth. What’s the next step? Predictive, specifically the type with which business users and data analysts alike can engage.
Register for this episode of The Briefing Room to hear veteran Analyst Robin Bloor as he explains how and why traditional business intelligence must evolve. He’ll be briefed by David Clement of IBM who will tout his company’s forward-looking BI platform, which includes versatile, powerful predictive capabilities coupled with traditional dashboards and reports. He will demonstrate how its new graphical features empower business users to do more with advanced analytics, and how the combination of predictive and BI leads to deeper understanding of and across the enterprise.
Visit InsideAnlaysis.com for more information.
Using the power of OpenAI with your own data: what's possible and how to start?Maxim Salnikov
This document provides an overview of a talk by Maxim Salnikov and Jon Jahren at Oslo Spektrum from November 7-9. It discusses using OpenAI with your own data and how to get started. Examples of enterprise use cases for generative AI are presented, such as chatbots, document indexing, and financial analysis. Tools for prompt engineering like LangChain and Semantic Kernel are introduced. Best practices for fine-tuning models on proprietary data are covered, including data formatting, training data size, and an iterative tuning process. Responsible AI techniques like grounding responses and maintaining a positive tone are also discussed.
Intro to Artificial Intelligence w/ Target's Director of PMProduct School
This document provides an overview of artificial intelligence trends presented by Aarthi Srinivasan, Director of Product Management. It discusses growing investments in AI startups and by large corporations, with focus on automotive, healthcare, finance and education. Examples of applications include disease diagnosis, drug discovery, autonomous vehicles, facial and voice recognition. The presentation also provides guidance on structuring an AI product team and creating a machine learning-backed product vision.
1. The document discusses how digital advertising is evolving with real-time bidding and the ability to target ads at a granular level based on audience characteristics.
2. Click-through rates for banner ads have been steadily declining over the past two decades according to data from various sources, following what is called the "law of shitty clickthroughs".
3. New approaches are needed to improve relevance and extend the useful life of advertising, such as using transient messages tailored to intent to maintain relevance over time as audiences move across devices and platforms.
The document is a presentation by Actminds about the software development and application management services they offer. It summarizes their key services such as integration, quality and productivity metrics, offshore development centers, and success cases with clients like Johnson & Johnson. It promotes Actminds' ability to reduce costs through a combination of offshore and onshore resources while maintaining quality.
This document contains the transcript from a presentation on UX in South Africa. It discusses:
1) The current state of UX in South Africa, with some organizations not understanding user needs or how to handle complexity.
2) How companies that use design strategically grow faster, and the need for growth in South Africa.
3) How the 684 attendees can help drive positive change through understanding what UX is and what needs to change.
4) Various aspects of UX like vision, strategy, interaction design and more. It emphasizes the importance of user research, prototyping and getting products in front of users.
The Ultimate Guide To Embedded Analytics Poojitha B
Did you know that the lack of in-context data prevents you from making smarter business decisions - and as a result, missing out on key revenue opportunities?
The document discusses mobile strategy and product development best practices. It emphasizes the importance of quality, time to market, and technology choices. Key recommendations include focusing on customers through prototyping and minimum viable products to validate assumptions quickly, and considering native versus hybrid development based on the specific product and talent needs.
We are seeing an explosion of the use of Bots in the areas of sales and customer service, but what makes a Chatbot useful? During the recent rise in Chatbot popularity we have seen many bad deployments, so how can you avoid the pitfalls and ensure your Bot succeeds?
Join us to learn all about the new world of Chatbots, Artificial Intelligence, Neuro-linguistic programming, Machine Learning and best practices for deploying the technology for your business.
7 Ways to Maximize ROI on your Digital Experience InvestementGlenn Kline
This is a presentation I gave for Perficient at IBM Amplify 2017 on 7 ways to maximize your ROI on your IBM Digital Experience / WebSphere Portal and Web Content Management investment.
Renee Jones presents several marketing work samples that demonstrate her skills in optimizing websites, campaigns, and collateral for business clients. The samples show how she improved lead generation, user experience, and sales by redesigning websites, campaigns, and collateral. For example, she increased website conversions from less than 1% to 4% for one client by improving navigation, value propositions, and information collection.
Building Products That Think- Bhaskaran Srinivasan & Ashish GuptaISPMAIndia
Presenters:
Bhaskaran Srinivasan, Senior Strategy Consultant
Ashish Gupta, Senior Product Manager, Google
Abstract:
This workshop is designed to introduce participants to the opportunities that Generative AI offers through the process steps of a standard NPI. The program provides insights into the capabilities and limitations of Generative AI, offering a hands-on exploration of Gen AI tools tailored for product managers. Attendees will learn how to seamlessly integrate Generative AI into their daily product management workflows, identifying opportunities and prioritizing them based on impact and feasibility. The workshop introduces a robust framework for developing Generative AI-powered products, taking into account crucial factors such as customer pain points, market segment, data and algorithm biases, transparency, user control, and privacy. To enhance the learning experience, the workshop incorporates interactive talks, case study coverage, and group-based hands-on exercises. Geared towards mid-level product managers with a foundational understanding of product management best practices, the workshop is facilitated by two seasoned speakers with expertise in product innovation.
This document provides an overview of artificial intelligence and IBM's cognitive solutions presented by Phil Salm from CDW. It discusses the history and evolution of AI, including early concepts in the 1950s, challenges in the 1970s-1980s, and recent advances. Salm describes IBM's Watson APIs and demos their visual recognition and personality insights APIs using a robot named Little Dub. He also shares an example of Seton Healthcare using NLP models on unstructured data to better predict patient readmissions.
Steve blank moneyball and evidence-based entreprenuership Stanford University
The document discusses the Lean Startup methodology and the development of an Investment Readiness Level (IRL) framework analogous to NASA's Technology Readiness Level. It describes how the IRL evaluates a startup's progress based on data, moving from the initial hypothesis stage through validating the problem and solution fit, and product/market fit on both sides of the Business Model Canvas. The IRL is intended to quantify risk levels for startups based on evidence gathered through customer development and experimentation.
The document discusses several important considerations for companies looking to implement artificial intelligence, including developing an AI transformation playbook, assessing an organization's AI maturity, anticipating costs and timing, deciding whether to build or buy AI solutions, and addressing important legal and ethical issues around explainability, privacy, fairness, and safety. The document provides guidance on how companies can effectively lead their organization into the AI era by establishing the right strategies, processes, and safeguards.
Neo4j Innovation Lab - Accelerate Innovation through Graph ThinkingNeo4j
The document discusses using graph thinking and Neo4j's Innovation Lab to accelerate innovation. The Innovation Lab uses design thinking methodologies like prototyping over 4-day workshops to generate graph data models and use cases. This helps companies improve scalability, break down data silos, and enhance user experience by modeling relationships in their data.
The document outlines an AI Orange Belt training program that covers:
1. Technical prerequisites to understand AI foundations and how AI works in practice.
2. Tactics and methods for implementing AI at the product level, including finding new use cases and roadmapping implementations.
3. Strategy and governance for thinking about AI as a leader, manager, and citizen, including considerations for innovation and implications across verticals.
The training will cover basics of AI like definitions, projects, and implications, as well as strategies for innovation and management of AI projects. Learners will gain an understanding of AI techniques and how to apply AI in practice at an introductory level.
IAB How to Build Brands Online event - Video - Nick Higgins, InnovidIAB Australia
With the increase of new creative formats and rich media options, marketers are seeing the potential of online and mobile marketing as an efficient and cost effective tool for building brands. On 25 July, attendees learned how to use the key digital elements to build your brand online.
Shared at "Data-Driven Design for User Experience" with Le Wagon Tokyo, 25 Aug
https://www.meetup.com/ja-JP/Le-Wagon-Tokyo-Coding-Station/events/280067831/
In UX design, data means the voice of users (customers) and actionable insights that are beyond just numbers. Hearing these voices through user research and usage analytics is a critical process of building a human-centric design. Based on data-driven design, UX designers, product managers, and even senior management can listen to the inner voice of users and extrapolate those to discover a user journey for clear call-to-action and unwavering customer loyalty.
At this webinar, our guest speaker Emi Kwon, UX Design Director at Metlife, will walk you through the basics of data-driven design as well as share some tips and tricks for making data-driven design your value proposition as a product manager/ UX specialist.
Agenda:
✔️ Data ecosystem — Data lake, data warehouse…what does it mean for UX?
✔️ Small data and big data — the opportunities and pitfalls
✔️ Research method basics — qualitative, quantitative or triangulated
✔️ Usage analytics and A/B testing
✔️ What about COVID-19 and remote usability testing?
Forward Looking BI: The Future of Decision MakingInside Analysis
The Briefing Room with Dr. Robin Bloor and IBM Business Analytics
Live Webcast on June 17, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=56bf8e3cbf90e205142eac90d889bb4d
The storyline on business intelligence is solid: companies of all sizes use it to gain insight and improve decision making. Still, organizations are always looking for ways to further optimize the business and accelerate growth. What’s the next step? Predictive, specifically the type with which business users and data analysts alike can engage.
Register for this episode of The Briefing Room to hear veteran Analyst Robin Bloor as he explains how and why traditional business intelligence must evolve. He’ll be briefed by David Clement of IBM who will tout his company’s forward-looking BI platform, which includes versatile, powerful predictive capabilities coupled with traditional dashboards and reports. He will demonstrate how its new graphical features empower business users to do more with advanced analytics, and how the combination of predictive and BI leads to deeper understanding of and across the enterprise.
Visit InsideAnlaysis.com for more information.
Using the power of OpenAI with your own data: what's possible and how to start?Maxim Salnikov
This document provides an overview of a talk by Maxim Salnikov and Jon Jahren at Oslo Spektrum from November 7-9. It discusses using OpenAI with your own data and how to get started. Examples of enterprise use cases for generative AI are presented, such as chatbots, document indexing, and financial analysis. Tools for prompt engineering like LangChain and Semantic Kernel are introduced. Best practices for fine-tuning models on proprietary data are covered, including data formatting, training data size, and an iterative tuning process. Responsible AI techniques like grounding responses and maintaining a positive tone are also discussed.
Intro to Artificial Intelligence w/ Target's Director of PMProduct School
This document provides an overview of artificial intelligence trends presented by Aarthi Srinivasan, Director of Product Management. It discusses growing investments in AI startups and by large corporations, with focus on automotive, healthcare, finance and education. Examples of applications include disease diagnosis, drug discovery, autonomous vehicles, facial and voice recognition. The presentation also provides guidance on structuring an AI product team and creating a machine learning-backed product vision.
1. The document discusses how digital advertising is evolving with real-time bidding and the ability to target ads at a granular level based on audience characteristics.
2. Click-through rates for banner ads have been steadily declining over the past two decades according to data from various sources, following what is called the "law of shitty clickthroughs".
3. New approaches are needed to improve relevance and extend the useful life of advertising, such as using transient messages tailored to intent to maintain relevance over time as audiences move across devices and platforms.
The document is a presentation by Actminds about the software development and application management services they offer. It summarizes their key services such as integration, quality and productivity metrics, offshore development centers, and success cases with clients like Johnson & Johnson. It promotes Actminds' ability to reduce costs through a combination of offshore and onshore resources while maintaining quality.
This document contains the transcript from a presentation on UX in South Africa. It discusses:
1) The current state of UX in South Africa, with some organizations not understanding user needs or how to handle complexity.
2) How companies that use design strategically grow faster, and the need for growth in South Africa.
3) How the 684 attendees can help drive positive change through understanding what UX is and what needs to change.
4) Various aspects of UX like vision, strategy, interaction design and more. It emphasizes the importance of user research, prototyping and getting products in front of users.
The Ultimate Guide To Embedded Analytics Poojitha B
Did you know that the lack of in-context data prevents you from making smarter business decisions - and as a result, missing out on key revenue opportunities?
The document discusses mobile strategy and product development best practices. It emphasizes the importance of quality, time to market, and technology choices. Key recommendations include focusing on customers through prototyping and minimum viable products to validate assumptions quickly, and considering native versus hybrid development based on the specific product and talent needs.
We are seeing an explosion of the use of Bots in the areas of sales and customer service, but what makes a Chatbot useful? During the recent rise in Chatbot popularity we have seen many bad deployments, so how can you avoid the pitfalls and ensure your Bot succeeds?
Join us to learn all about the new world of Chatbots, Artificial Intelligence, Neuro-linguistic programming, Machine Learning and best practices for deploying the technology for your business.
7 Ways to Maximize ROI on your Digital Experience InvestementGlenn Kline
This is a presentation I gave for Perficient at IBM Amplify 2017 on 7 ways to maximize your ROI on your IBM Digital Experience / WebSphere Portal and Web Content Management investment.
Renee Jones presents several marketing work samples that demonstrate her skills in optimizing websites, campaigns, and collateral for business clients. The samples show how she improved lead generation, user experience, and sales by redesigning websites, campaigns, and collateral. For example, she increased website conversions from less than 1% to 4% for one client by improving navigation, value propositions, and information collection.
Building Products That Think- Bhaskaran Srinivasan & Ashish GuptaISPMAIndia
Presenters:
Bhaskaran Srinivasan, Senior Strategy Consultant
Ashish Gupta, Senior Product Manager, Google
Abstract:
This workshop is designed to introduce participants to the opportunities that Generative AI offers through the process steps of a standard NPI. The program provides insights into the capabilities and limitations of Generative AI, offering a hands-on exploration of Gen AI tools tailored for product managers. Attendees will learn how to seamlessly integrate Generative AI into their daily product management workflows, identifying opportunities and prioritizing them based on impact and feasibility. The workshop introduces a robust framework for developing Generative AI-powered products, taking into account crucial factors such as customer pain points, market segment, data and algorithm biases, transparency, user control, and privacy. To enhance the learning experience, the workshop incorporates interactive talks, case study coverage, and group-based hands-on exercises. Geared towards mid-level product managers with a foundational understanding of product management best practices, the workshop is facilitated by two seasoned speakers with expertise in product innovation.
Growing Interest in Cloud Based Digital Experiences -- An IDC and IBM Digital...IBM Digital Experience
As marketing, commerce, and customer service continue to shift to digital channels — and as an increasingly greater share of an organization's revenue comes from digital business — organizations have become acutely aware of the need for an enterprise digital experience platform. Such a platform enables them to quickly and cost effectively create, manage, and deliver cross-channel, cross-device digital experiences to their various constituents; measure the effectiveness of the experiences; and optimize the experiences based on analytical insights.
Organizations are increasingly turning to platforms such as IBM Digital Experience on Cloud to meet today's digital business requirements. As IDC's research has shown, organizations that use IBM Digital Experience have realized significant business benefits, including increased revenue and quicker time to market, reduced costs and improved staff productivity, and increased customer and employee engagement.
Join us in this live webinar to:
1. Hear directly from IDC on their latest IBM Digital Experience on Cloud Business Valuation report
2. See live demonstrations of the latest features that IBM Digital Experience on Cloud solutions can provide to companies looking to capitalize on their digital transformations
During this Morgenbooster, we will dive into the understanding of digital design systems, and why they have become increasingly popular.
What are they? How do they work? What will you gain from building one? And last, but not least we will take you through a couple of tangible experiences and journeys of building such a system.
Throughout the talk we will be sharing experiences from both a design and development perspective.
And hopefully we will all have the feeling of getting one step closer to a design system, which meets all the requirements in modern digital design. A system where all services, assets and communications are designed from one central place to evoke both emotions in a coherent brand experience and support the functional necessities of today’s dynamic business strategies.
Modernize Conference 2018 - The Need for Speed - Contentful and nib health fundsPaul Biggs
Presented by Contentful and nib health funds at the Modernize Conference in Sydney Australia on May 16th, 2018.
Learn how the traditional CMS market is being disrupted by new market dynamics, as all companies are being forced to become digital product companies -- they must adapt and become software-centric in order to keep up with their customers.
Companies are creating cross-functional digital teams to support this new mandate, who are building modern, reusable architectures so they can get to market faster.
Modernize 2018: The Need for Speed - ContentfulOptimizely
The document discusses how companies need to get digital products to market faster to keep up with competitors. It provides an overview of how the software development process has changed, with an emphasis on cloud-based architectures and microservices. It then details a case study of how the Australian health insurer nib was able to increase its speed to market for digital products by 10 times through the creation of a "Digital Delivery Workshop", which used agile and experimental approaches. Key aspects that helped nib increase speed included adopting a modular architecture and infrastructure, continuous deployment practices, and integrating content management into the development process.
IDenTV The Next Evolution in Big Video DataAmro Shihadah
“To make video data into useful big data, we need to leap beyond this (human intervention). We need true video analytics, powered by computer vision.” - Wired
CHECK OUT THE LATEST DEMONSTRATION OF OUR REAL-TIME LOGO AND BRAND DETECTION AND IDENTIFICATION ENGINE!!
Our Mission: To create powerful and transformative video analytics capabilities. We assembled a global team of top computer vision and imaging scientists and engineers to transform the way large-scale video can be understood and analyzed.
The result of this pioneering work is the Intelligent Video Platform, a commercial-ready, breakthrough technology that enables high-speed visual content recognition and indexing, combined with real-time search and verification of massive amounts of video with extreme accuracy, efficiency, and scalability. Offering true video big data analytics. State-of-the art machine learning and artificial intelligence techniques make the IVP highly accurate and efficient.
Similar to Big Video Data Revolution, Challenges Unresolved (20)
Machine Learning Foundations for Professional ManagersAlbert Y. C. Chen
20180526@Taiwan AI Academy, Professional Managers Class.
Covering important concepts of classical machine learning, in preparation for deep learning topics to follow. Topics include regression (linear, polynomial, gaussian and sigmoid basis functions), dimension reduction (PCA, LDA, ISOMAP), clustering (K-means, GMM, Mean-Shift, DBSCAN, Spectral Clustering), classification (Naive Bayes, Logistic Regression, SVM, kNN, Decision Tree, Classifier Ensembles, Bagging, Boosting, Adaboost) and Semi-Supervised learning techniques. Emphasis on sampling, probability, curse of dimensionality, decision theory and classifier generalizability.
Covering important topics of Classical Machine Learning in 16 hours, in preparation for the following 10 weeks of Deep Learning courses at Taiwan AI academy from 2018/02-2018/05. Topics include regression (linear, polynomial, gaussian and sigmoid basis functions), dimension reduction (PCA, LDA, ISOMAP), clustering (K-means, GMM, Mean-Shift, DBSCAN, Spectral Clustering), classification (Naive Bayes, Logistic Regression, SVM, kNN, Decision Tree, Classifier Ensembles, Bagging, Boosting, Adaboost) and Semi-Supervised learning techniques. Emphasis on sampling, probability, curse of dimensionality, decision theory and classifier generalizability.
Practical computer vision-- A problem-driven approach towards learning CV/ML/DLAlbert Y. C. Chen
Practical computer vision-- A problem-driven approach towards learning CV/ML/DL
Albert Chen Ph.D., 20170726 at Academia Sinica, Taiwan
Invited Speech during Academia Sinica's AI month
Think different, in Finance. An outsider's two cents on how could finance majors rethink their role and value in the rapidly changing AI era, with some FinTech case studies.
Albert Y. C. Chen, Ph.D., VP of R&D at Viscovery--Visual Search, Simply Smarter.
Invited speech at Automatic Optical Inspection Equipment Association (AOIEA) Annual Summit, Taiwan, 2017/06/15, "Deep Learning and Automatic Optical Inspection".
陳彥呈博士,Viscovery研發副總裁2017年6月15日於自動光學檢測設備聯盟 會員年會 專題演講「人工智慧下的AOI變革浪潮:影像辨識技術的突破與新契機」。
This document summarizes Albert Y. C. Chen's background and experience in research and development roles. It then discusses various applications of computer vision and artificial intelligence technologies, including examples like visual inspection, facial recognition, and generative design. The document concludes by thanking the audience and providing Albert's contact information.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
4. • Humans on Earth dreamed of doing Content
Based Image Retrieval (CBIR), to become the
next "Video Google". Most failed...
= ?
5. If we can't tag content automatically, why
not let everyone upload and tag?
6. Many new businesses were born
Make others tag for you!
Optimize Tags for search engines
7. Any better way to mange and utilize the
exploding amount of images and videos?
Deep Neural Network (DNN) helps us to extract much more
useful information reliably from images and videos.
9. Managing & Balancing
between Tech and Market Risk
• Technology Risk
• How much can you afford to burn on R&D?
• How to manage uncertainties in R&D?
• Market Risk
• Prototyping?
• Pretotying!!!
10. Artificial Neural Network (ANN)
Why didn’t it work; why now?
• MNIST digit data:28x28
• LeCunn’s 3 layer ANN:
1170 variables.
• Require tens of
thousands of samples.
• Only learn simple line/
curve combinations
11. AI Winter (1970-1980, 1990-2000)
• Early NN problems:
• redundant structure,
• slow learning speed
• need too much data
• bad learning
stability.
12. What’s in a NN
( )zσ+
( )zσ+
( )zσ+
( )zσ+
Input
weights
bias
activation
function
13. NN breakthroughs since 1970’s
1. Better Network Structure
• Convolutional Neural Network greatly reduces the number
of variables in NN’s designed for images and videos. —>
Improved convergence speed, reduced data requirements.
Upper-left corner
Bird Beak
Detector
Center Bird Beak
Detector
Almost identical, can be shared across regions
19. What do DNNs learn?
• Neurons act like “custom-trained filters”; react to
very different visual cues, depending on data.
20. What do DNNs learn?
• Neurons act like “custom-trained filters”; react to
very different visual cues, depending on data.
21. • Does not “memorize” millions of viewed images.
• Extracts greatly reduced number of features that
are vital to classify different classes of data.
• Classifying data becomes a simple task when
the features measured are “”good”.
What do DNNs learn?
27. Vertical AI Startups
Solving industry-specific problems by combining
AI and Subject Matter Expertise.
• Full Stack Products
• Subject Matter Expertise
• Proprietary Data
• AI delivers core value
(Bradford Cross, 2017/06/14)
28. Why Go Vertical?
• Don’t get ripped off—don’t get disconnected
from key customer/providers.
• Tasks get commoditized
• Software is eating the world—every company in
every industry needs to be a tech company.
• Enterprise exits come in cohorts
(Bradford Cross, 2017/06/14)
33. OK, back to the market challenge
Traditional
Media
Free Content,
Ad Revenue
Subscription
Revenue
Do Nothing?
Sitting Duck!
Improve Ad
Revenue
Content-
related video
ads
Own platform
Shared/
congregated
platform
customized
recommendatio
ns
ad measure /
brand safety
Image/Video content owners struggling to monetize
Can AI solve it all?
34. Why not go ahead and analyze all videos? COST!
0600120018002400
2014 2015 2016 2017 2018 2019
Revenue Hardware Cost Data Collection Cost Model Training Cost
Technology Inflection Point:
• Computer vision cost has dropped significantly
while market demand has increased beyond
exploratory stages.
• Overall cost reduction resulted from accumulated
domain expertise, efficient machines learning
techniques, and lower computing cost.
Case study on leading e-commerce site in APAC, with 1M SKU and >20M calls/month.
35. • Business model vs videos analyzed
Need to deliver value while analyzing!
o2o marketing
ad effectiveness
analysis
campaign
effectiveness
analytics
direct-sell
content-related ads
programmatic
content-related ads
Big Data Insights
0 2.5 5 7.5 10
videos
analyzed
(10^N) • Extremely costly to
analyze video content.
Google charges
$1.5/1000 images. with
3600 seconds/hour, it
will cost $5.4 / hour
video / single single
recognition task.
• Costly to store videos
and their recognition
results.
36. Hindsight on "right approach" for media
Increase user’s time spent & stickiness
Multiply traffic w/o subsidizing growth.
(4) Video content-related ads & e-commerce
(3) Ad exposure measure
(2) Content recommendation
Grow user & advertiser
budget organically with
new services
(1) Image/Video Content Recognition as a Service
Focus on
Revenue
Growth
(5)DataMiningandAnalyticsasaService
Goal
Media
Size
37. Value proposition to media:
Start making money the first day!
user/time/ad/budgetincrease(times)
0
1
2
3
4
TotalSiteRevenueIncrease(times)
04.5913.518
current Better recommendation
Improve user stickiness
Better measurement
Grow user & ad budget
Content-related ad, EC
Focus on Revenue
# users time / user ad / user*time budget / ad total site revenue
38. Viscovery's Complete Solution
for Media and Beyond
Media
AdRetail
Archive & Search
Content
Recommendation
Video Generator*
Brand Insight
Ad Effectiveness
Measure
Brand Safety
Assurance
Visual
Content
Recognition
Smart Checkout
Video to EC
Consumer Insights
40. Media AI: Content Recommendation
Article-to-Article, Article-to-Video, Video-to-Video
The 31 Tiniest Cat Breeds
Cats are notoriously small
household pets, but some are
even tinier than the norm. If you
have tight living quarters or
simply can’t get enough of cats
little enough to resemble kittens
forever, there are plenty of small
cat breeds to suit you. When it
comes to cats, bigger isn’t
always better, as some of the
most charming felines come in
small packages.
Meaningful
Terms Re-weighting
High-dimension
Mapping
Terms (Attribute)
Extraction
Para
41. Media AI: Video Generator
powering the "pivot to video" movement!
Text Analysis
(NLP)
Image
Recognition
Key Phrases
Sentiment
Audio
Subtitles
F/O/S
Concept
Media
Database
Generation Engine
42. Ad AI: ad exposure measure
# Appearances 68 times
# Appearances with
Duration > 5 sec
2 times
# Appearances with
Duration > 15 sec
0
# Appearances with
Duration > 30 sec
0
Longest Duration of
Appearance
9 sec
Average Duration of
Appearance
2.12 sec
Average Appearance
Interval
37.79 sec
Total Duration of
Appearance
144 sec
Ad Exposure for Audi @ China GT (Shanghai) 2017
# times of logo
occupying >5%
screen size
8 times
Duration of logo
occupying > 5%
screen size
16 sec
# times of logo
occupying > 10%
screen size
0 times
Duration of logo
occupying > 10%
screen size
0 sec
Average logo size
(relative to screen)
2.12%
Maximum logo size
(relative to screen)
11.05%
48. Retail AI: merchandise management
•2D+3D cameras for head and eye tracking
•Detect Point-Of-Interest
•Consumer profiling and data collection
•Integrate with kiosk big screen devices
•ESL Integration
Smart POS
• Smart check out
• Client-facing POS screen
with 3D camera
• POS-on-the-run
• Customer Big Data
• ESL integration
Smart Shelf
49. Retail AI: Cunsumer Insights
Female, 30-35
Ms. Mary Rice
Status: VIP
Housewife
Brand: P&G,
LV, Nike,
Tiffany
Already
holding
product A
Reaching for
product B on
the shelf
E.g., People who appear interested in milk powder will
get an eDM containing relevant promo info.
Recognize customer appearance and behavior characteristics
to establish a buying recommendation database.
50. • Clear segment focus: Any corporation smaller
than Google, Facebook, Baidu, Alibaba,
Tencent.
• Need to go from 0-80 fast. Then, help them go
from 80-90 and catch up quickly.
• How can we make the "0-80" part scalable?
Building Technology Barrier
57. Some Hard Lessons Learned
• Swallowed alive by giants (Speed, Timing)
• Aiming for a narrow exit. (Business)
• Failing to disrupt the market (Technology)
• Everybody in the field is lying (Data)
• Don’t underestimate the cost of going long in
any vertical.
58. Unstructured
videos
⼴广告主
DSP SSP
⼴广代
媒代
DMP
Viscovery SDK
互动层Ad Exchange
⼴广告版位
(Key moment)
Categories
Users
User segment
Viscovery Server
Video id and key
moments
Publishers
Video crawler
VSP
ranking
system
One video
w/ its id
Videos
Categories User profile
From DMP or publishers
Asynchronous processes
Filter
Recommander engine
Category of ad
Tracking Server
监控链结(互动层)之资讯
监控链结(互动
层)之资讯
6
53
2
14
vad.json
Tag2AD
expensive cheaper
ad request
vtag.raw
vtag.raw
Database
Engine
api
api
VDSAgent
web
api
web
api
ad op {(vid, {ti, ci})}
Video id
Key moment
AD categoryhttps://vsp.viscovery.com/
Viscovery went long in AdTech
59. When something is important enough,
you do it even if the odds are not in your favor.
Elon Musk
Falcon 9
takeoff
Falcon 9
decelerate
Falcon 9
vertical
touchdown