Originally presented by Andrew Ruegger at Insight Exchange Network's Marketing Metrics & Analytics Summit, this presentation discusses how marketers can leverage machine learning.
These slides use concepts from my (Jeff Funk) course entitled Biz Models for Hi-Tech Products to analyze the business model for Kaggle’s Crowd Sourcing Service for Data Analytics. Kaggle connects data scientists with organizations who have problems related to data analysis. Kaggle helps organizations define their data analytic problems, present them to data scientists, and organize and evaluate competitions between data analytic solutions. Its data ensemble technique also evaluates the effectiveness of the various solutions. These slides describe the specific value proposition for organizations and data scientists and other aspects of the business model such as the method of value capture, scope of activities, and method of strategic control.
SearchLove San Diego 2017 | Michael King | Machine DoingDistilled
Machine learning is a concept that has is turning science fiction into real technology today. However, the applications of this technology seem daunting to marketers. In this talk, Mike King shares how marketers can take advantage of machine learning using ready made tools and tactics without knowing how to code.
Art Meets Insight: Eye Catching Visualizations For Better AnalyticsCatalyst
A picture is worth a thousand words, especially when it comes to understanding your search and analytics data. Graphical visualizations can help you:
- Gain insights into traffic and conversion activity
- Illustrate site architecture with a network graph
- Demonstrate competitive threats with a treemap
- Describe untapped opportunities with a Venn "blob"
- Tell customer stories with a word cloud
- Learn how to tap into the right side of the brain to see the full "big-picture" effectiveness of your online marketing campaigns.
In this presentation, originally presented by Paul Shapiro at SMX East, learn how to tap into the right side of the brain to see the full "big-picture" effectiveness of your online marketing campaigns.
Learn about how bias can take root in machine learning algorithms and ways to overcome it. From the power of open source, to tools built to detect and remove bias in machine learning models, there is a vibrant ecosystem of contributors who are working to build a digital future that is inclusive and fair. Learn how to achieve AI fairness, robustness and explainability. You can become part of the solution.
[DEVit 360] Opti-pessimism: Design for the best case, build for the worstCheryl Platz
How can we design for the promise of the future AND build for the reality of today? Cheryl Platz turns her experience designing for products like Azure and Alexa into survival strategies for products at the cutting edge. From product concepts to system architecture, we'll take a whirlwind tour to build a roadmap for "opti-pessimistic" product design.
These slides use concepts from my (Jeff Funk) course entitled Biz Models for Hi-Tech Products to analyze the business model for Kaggle’s Crowd Sourcing Service for Data Analytics. Kaggle connects data scientists with organizations who have problems related to data analysis. Kaggle helps organizations define their data analytic problems, present them to data scientists, and organize and evaluate competitions between data analytic solutions. Its data ensemble technique also evaluates the effectiveness of the various solutions. These slides describe the specific value proposition for organizations and data scientists and other aspects of the business model such as the method of value capture, scope of activities, and method of strategic control.
SearchLove San Diego 2017 | Michael King | Machine DoingDistilled
Machine learning is a concept that has is turning science fiction into real technology today. However, the applications of this technology seem daunting to marketers. In this talk, Mike King shares how marketers can take advantage of machine learning using ready made tools and tactics without knowing how to code.
Art Meets Insight: Eye Catching Visualizations For Better AnalyticsCatalyst
A picture is worth a thousand words, especially when it comes to understanding your search and analytics data. Graphical visualizations can help you:
- Gain insights into traffic and conversion activity
- Illustrate site architecture with a network graph
- Demonstrate competitive threats with a treemap
- Describe untapped opportunities with a Venn "blob"
- Tell customer stories with a word cloud
- Learn how to tap into the right side of the brain to see the full "big-picture" effectiveness of your online marketing campaigns.
In this presentation, originally presented by Paul Shapiro at SMX East, learn how to tap into the right side of the brain to see the full "big-picture" effectiveness of your online marketing campaigns.
Learn about how bias can take root in machine learning algorithms and ways to overcome it. From the power of open source, to tools built to detect and remove bias in machine learning models, there is a vibrant ecosystem of contributors who are working to build a digital future that is inclusive and fair. Learn how to achieve AI fairness, robustness and explainability. You can become part of the solution.
[DEVit 360] Opti-pessimism: Design for the best case, build for the worstCheryl Platz
How can we design for the promise of the future AND build for the reality of today? Cheryl Platz turns her experience designing for products like Azure and Alexa into survival strategies for products at the cutting edge. From product concepts to system architecture, we'll take a whirlwind tour to build a roadmap for "opti-pessimistic" product design.
Trusting machines with robust, unbiased and reproducible AI Margriet Groenendijk
To trust a decision made by an algorithm, we need to know that it is reliable and fair, that it can be accounted for, and that it will cause no harm. We need assurance that it cannot be tampered with and that the system itself is secure. We need to understand the rationale behind the algorithmic assessment, recommendation or outcome, and be able to interact with it, probe it – even ask questions. And we need assurance that the values and norms of our societies are also reflected in those outcomes.
Learn about how bias can take root in machine learning algorithms and ways to overcome it. From the power of open source, to tools built to detect and remove bias in machine learning models, there is a vibrant ecosystem of contributors who are working to build a digital future that is inclusive and fair. Learn how to achieve AI fairness, robustness, explainability and accountability. You can become part of the solution.
Charla TestingUy 2019 - Inteligencia Artificial y Testing: ¿Qué está pasando?TestingUy
Expositor: Guillermo Skrilec
Resumen: Hemos sido invadidos por software que utiliza Inteligencia Artificial para resolver problemas donde antes se necesitaba una persona para hacerlo. Recibimos mucha información de distintas herramientas que están usando Inteligencia Artificial para probar aplicaciones automáticamente. Tenemos que entender lo que está pasando con Inteligencia Artificial en el mundo del Testing, este es el objetivo de la charla.
Creating an Authentic Customer Connection: Data-Driven Strategic StorytellingConductor
In a world increasingly saturated with data and information, visualizations are a potent way to break through the clutter, tell your story, and persuade people to action. Raw statistics by themselves are fine. But showing in context, whether with a simple chart or more creatively in an interactive form, is the future of sharing information and storytelling and needs to be embedded in the thinking of all communications professionals. Adam Singer of Google will share some data visualization and analysis best practices for both your internal business uses and external marketing to tell the clearest, highest impact stories.
How (and why) to Factor Tech Ethics into Your SprinteBranding Ninja
How do you build tech you won't regret? Who is responsible for the code that is released? How do you make tech ethics considerations, including privacy, security, accessibility and inclusion, a part of your regular agile feedback and review processes?
http://2019.aginext.io/Session/tech-ethics/
Some slides transferred poorly from keynote to powerpoint so here are the blanks filled in:
Slide 6: “We kill people based on metadata.” — Michael Hayden (former NSA and CIA director)
Slide 21: "“The most dangerous phrase in the language is, ‘We’ve always done it this way’.” —Grace Hopper (computer scientist, candidate for Most Badass American Award)
Slide 31: “Don’t build something if you don’t have the budget to build the security infrastructure properly. Knowing your limits is also important to behave ethically.” — Ádám Sándor (cloud tech consultant)
Slide 32: "Whose problem is it if data gets stolen? Was it devs not thinking, ops not securing or management not giving enough budget? In these situations, it’s very easy to think ‘This isn’t my own problem, I’m just a cog in the machine.'” — Ádám Sándor (cloud tech consultant)
Thank you!
Henry Ford una vez dijo, “El único verdadero error es áquel del que no aprendemos nada.” Entonces, ¿Cómo podemos aprender más de las fallas de los sistemas? En esta sesión mostramos como usar los datos para mitigar y evitar fallas en el futuro. Esta sesión es presentada a usted, por nuestro socio AWS, Datadog.
Pitch: A FlowCon 2019, je vous convie à construire ensemble la réponse à cette question dans un "confelier" (conférence introductive de 20 mn + atelier coopératif de 25mn).
3 parties :
1) Agile : une catachrèse
2) businessAgility: un ecosystème observable
3) échanges en format FishBowl
Research presentation on the impact of AI on the advertising and CX landscape.
We start with a short introduction of AI, the causes of recent focus and hype, as well as a simplified model to compartmentalise different AI models.
The presentation constructs a framework to assess the potential impact of AI against :
- the complexity of the work
- the type of work being done - analysis, decision-making, and execution.
Based on the framework, the presentation argues for four possible futures:
- Creativity at the centre
- Digitalization of marketing
- Efficiency of marketing
- Impact of marketing
Furthermore, the presentation lists dangers and limitations inherent in the technology, as well as how agencies or individuals can get started to navigate the unknown future.
At its conclusion, it's argued that AI will likely have a substantial impact on the advertising and marketing industry. The agency business model is already under strain and will need to quickly adapt in light of significant threats posed by continued advancements in automation and generative AI models.
Artificial Intelligence in Lumber Retail (Home Depot, Lowe’s, etc)Daniel Faggella
These slides were used for my presentation at the Northeastern Retail Lumber Association's annual Expo, 2020.
Building materials and home improvement is a market ripe for disruption. This presentation draws on much of our retail AI landscape research at Emerj:
https://emerj.com/?s=retail
This presentation includes an intro to AI/ML, a summary of AI/ML services on AWS, and a discussion of the evolution of a Twitter bot that uses ML to classify aircraft found in images.
In order to ensure the continuity of a business, Building Resilience must be a key factor in the organizational strategy. In this session you will learn a simple and effective framework to develop business resilience in your organization. As part of this framework, I will explain how to run crisis simulations and how those simulations help organizations not only to be prepared to overcome extreme changes in the market and adapt more quickly to new conditions, but also to become the disruptive change within the market.
Before COVID-19, 2,000 companies participated in the 2019 Global Crisis Survey, 69% have experienced a crisis in the last 5 years and just under 20% say they have been harmed by such experience. Meanwhile, more than 40% say they are "in a better place" after the crisis.
We are now going through a global crisis and we are all experiencing the effect of being unprepared. Some companies will end up strengthening in the new normal, others will end up destroyed.
Even in 2019 only 5% of surveyed companies stated that they do not expect to experience a crisis in the future, and that was before COVID-19. What will this crisis bring to your business? Is your company ready for the next disruption? Do you decide to prepare or accept the cost of not being ready?
Is big data just a buzzword -Big data simply explainedVivek Srivastava
Big data helps us to uncover and discover those facets of data which we are not aware of . Using predictive science it helps us to provide insights on which actions can be taken and suggests those actions which will impact the business significantly boosting the revenue or market reach.For example, using large amount of data and appropriate tools, we can categorize different strata of population and build customize products. So whether companies deploy it or not, all depends on what factor constitute the value of company and where the center of value creation lies. It may be money or it may be geographic reach. - Watch this video at https://www.youtube.com/watch?v=ELyOl0fkqNM
This presentation introduces Statistical Discovery, a process that allows you to work with data to discover new, useful, insights that drive cycles of learning. After a brief overview to introduce the concept, an example involving property prices in the US will be used to demonstrate the how the process works in practice. Through this example we also exemplify the skills and aptitudes required to exercise the process successfully.
T. Scott Clendaniel provides a complete guide to creating and implementing your analytics strategy. Includes the Accenture model, a wide variety of Tips and Tricks, and several bonuses in the appendix.
An exciting talk on the main difficulties and how to overcome them when building and scaling data teams with Florian Douetteau
- Technological issues: What stack should they choose for the company’s architecture? And what about big data technologies; should they accept being a polyglot or rather assume being a ruthless dictator?
- HR issues: Who should they hire? Should they build their data team as an extension of the BI team? Or should they build it from scratch?
- Data issues: How are they supposed to get data inside his data lake? Which strategy should they adopt: the cicada, the spider or the fox one?
- Product issues: What is big data really about? And eventually, what are they willing to do with this bunch of data?
The talk aims at demonstrating how tough it can be to build and scale a data department, and at giving some insights about the strategy Florian thinks they should adopt.
Closing the Gap: Adopting Omnichannel Strategies for Stronger Brand-Consumer ...Catalyst
In partnership with London Research, Catalyst and Xaxis’ new original research and report, “Closing the Gap: Adopting Omnichannel Strategies for Stronger Brand-Consumer Connections,” explores gaps in where consumers are spending their time and where advertisers are investing, revealing opportunities for marketers to adopt and advance omnichannel approaches to media and marketing for long-term growth.
Key takeaways:
• U.S. consumer trends and engagement compared to advertiser approach to search, social, ecommerce, gaming, CTV, DOOH, podcasts, and more
• Media consumption differences across key audience demographics and implications for omnichannel planning
• Brands’ mindset, approach, and recommendations for ongoing experimentation and testing into emerging platforms
• Barriers to adopting omnichannel programs and recommended solutions
• The impact of privacy and identity on consumers, advertisers, and omnichannel programs
Trusting machines with robust, unbiased and reproducible AI Margriet Groenendijk
To trust a decision made by an algorithm, we need to know that it is reliable and fair, that it can be accounted for, and that it will cause no harm. We need assurance that it cannot be tampered with and that the system itself is secure. We need to understand the rationale behind the algorithmic assessment, recommendation or outcome, and be able to interact with it, probe it – even ask questions. And we need assurance that the values and norms of our societies are also reflected in those outcomes.
Learn about how bias can take root in machine learning algorithms and ways to overcome it. From the power of open source, to tools built to detect and remove bias in machine learning models, there is a vibrant ecosystem of contributors who are working to build a digital future that is inclusive and fair. Learn how to achieve AI fairness, robustness, explainability and accountability. You can become part of the solution.
Charla TestingUy 2019 - Inteligencia Artificial y Testing: ¿Qué está pasando?TestingUy
Expositor: Guillermo Skrilec
Resumen: Hemos sido invadidos por software que utiliza Inteligencia Artificial para resolver problemas donde antes se necesitaba una persona para hacerlo. Recibimos mucha información de distintas herramientas que están usando Inteligencia Artificial para probar aplicaciones automáticamente. Tenemos que entender lo que está pasando con Inteligencia Artificial en el mundo del Testing, este es el objetivo de la charla.
Creating an Authentic Customer Connection: Data-Driven Strategic StorytellingConductor
In a world increasingly saturated with data and information, visualizations are a potent way to break through the clutter, tell your story, and persuade people to action. Raw statistics by themselves are fine. But showing in context, whether with a simple chart or more creatively in an interactive form, is the future of sharing information and storytelling and needs to be embedded in the thinking of all communications professionals. Adam Singer of Google will share some data visualization and analysis best practices for both your internal business uses and external marketing to tell the clearest, highest impact stories.
How (and why) to Factor Tech Ethics into Your SprinteBranding Ninja
How do you build tech you won't regret? Who is responsible for the code that is released? How do you make tech ethics considerations, including privacy, security, accessibility and inclusion, a part of your regular agile feedback and review processes?
http://2019.aginext.io/Session/tech-ethics/
Some slides transferred poorly from keynote to powerpoint so here are the blanks filled in:
Slide 6: “We kill people based on metadata.” — Michael Hayden (former NSA and CIA director)
Slide 21: "“The most dangerous phrase in the language is, ‘We’ve always done it this way’.” —Grace Hopper (computer scientist, candidate for Most Badass American Award)
Slide 31: “Don’t build something if you don’t have the budget to build the security infrastructure properly. Knowing your limits is also important to behave ethically.” — Ádám Sándor (cloud tech consultant)
Slide 32: "Whose problem is it if data gets stolen? Was it devs not thinking, ops not securing or management not giving enough budget? In these situations, it’s very easy to think ‘This isn’t my own problem, I’m just a cog in the machine.'” — Ádám Sándor (cloud tech consultant)
Thank you!
Henry Ford una vez dijo, “El único verdadero error es áquel del que no aprendemos nada.” Entonces, ¿Cómo podemos aprender más de las fallas de los sistemas? En esta sesión mostramos como usar los datos para mitigar y evitar fallas en el futuro. Esta sesión es presentada a usted, por nuestro socio AWS, Datadog.
Pitch: A FlowCon 2019, je vous convie à construire ensemble la réponse à cette question dans un "confelier" (conférence introductive de 20 mn + atelier coopératif de 25mn).
3 parties :
1) Agile : une catachrèse
2) businessAgility: un ecosystème observable
3) échanges en format FishBowl
Research presentation on the impact of AI on the advertising and CX landscape.
We start with a short introduction of AI, the causes of recent focus and hype, as well as a simplified model to compartmentalise different AI models.
The presentation constructs a framework to assess the potential impact of AI against :
- the complexity of the work
- the type of work being done - analysis, decision-making, and execution.
Based on the framework, the presentation argues for four possible futures:
- Creativity at the centre
- Digitalization of marketing
- Efficiency of marketing
- Impact of marketing
Furthermore, the presentation lists dangers and limitations inherent in the technology, as well as how agencies or individuals can get started to navigate the unknown future.
At its conclusion, it's argued that AI will likely have a substantial impact on the advertising and marketing industry. The agency business model is already under strain and will need to quickly adapt in light of significant threats posed by continued advancements in automation and generative AI models.
Artificial Intelligence in Lumber Retail (Home Depot, Lowe’s, etc)Daniel Faggella
These slides were used for my presentation at the Northeastern Retail Lumber Association's annual Expo, 2020.
Building materials and home improvement is a market ripe for disruption. This presentation draws on much of our retail AI landscape research at Emerj:
https://emerj.com/?s=retail
This presentation includes an intro to AI/ML, a summary of AI/ML services on AWS, and a discussion of the evolution of a Twitter bot that uses ML to classify aircraft found in images.
In order to ensure the continuity of a business, Building Resilience must be a key factor in the organizational strategy. In this session you will learn a simple and effective framework to develop business resilience in your organization. As part of this framework, I will explain how to run crisis simulations and how those simulations help organizations not only to be prepared to overcome extreme changes in the market and adapt more quickly to new conditions, but also to become the disruptive change within the market.
Before COVID-19, 2,000 companies participated in the 2019 Global Crisis Survey, 69% have experienced a crisis in the last 5 years and just under 20% say they have been harmed by such experience. Meanwhile, more than 40% say they are "in a better place" after the crisis.
We are now going through a global crisis and we are all experiencing the effect of being unprepared. Some companies will end up strengthening in the new normal, others will end up destroyed.
Even in 2019 only 5% of surveyed companies stated that they do not expect to experience a crisis in the future, and that was before COVID-19. What will this crisis bring to your business? Is your company ready for the next disruption? Do you decide to prepare or accept the cost of not being ready?
Is big data just a buzzword -Big data simply explainedVivek Srivastava
Big data helps us to uncover and discover those facets of data which we are not aware of . Using predictive science it helps us to provide insights on which actions can be taken and suggests those actions which will impact the business significantly boosting the revenue or market reach.For example, using large amount of data and appropriate tools, we can categorize different strata of population and build customize products. So whether companies deploy it or not, all depends on what factor constitute the value of company and where the center of value creation lies. It may be money or it may be geographic reach. - Watch this video at https://www.youtube.com/watch?v=ELyOl0fkqNM
This presentation introduces Statistical Discovery, a process that allows you to work with data to discover new, useful, insights that drive cycles of learning. After a brief overview to introduce the concept, an example involving property prices in the US will be used to demonstrate the how the process works in practice. Through this example we also exemplify the skills and aptitudes required to exercise the process successfully.
T. Scott Clendaniel provides a complete guide to creating and implementing your analytics strategy. Includes the Accenture model, a wide variety of Tips and Tricks, and several bonuses in the appendix.
An exciting talk on the main difficulties and how to overcome them when building and scaling data teams with Florian Douetteau
- Technological issues: What stack should they choose for the company’s architecture? And what about big data technologies; should they accept being a polyglot or rather assume being a ruthless dictator?
- HR issues: Who should they hire? Should they build their data team as an extension of the BI team? Or should they build it from scratch?
- Data issues: How are they supposed to get data inside his data lake? Which strategy should they adopt: the cicada, the spider or the fox one?
- Product issues: What is big data really about? And eventually, what are they willing to do with this bunch of data?
The talk aims at demonstrating how tough it can be to build and scale a data department, and at giving some insights about the strategy Florian thinks they should adopt.
Similar to Rise of the Machines: What Marketers Need to Know about Machine Learning (20)
Closing the Gap: Adopting Omnichannel Strategies for Stronger Brand-Consumer ...Catalyst
In partnership with London Research, Catalyst and Xaxis’ new original research and report, “Closing the Gap: Adopting Omnichannel Strategies for Stronger Brand-Consumer Connections,” explores gaps in where consumers are spending their time and where advertisers are investing, revealing opportunities for marketers to adopt and advance omnichannel approaches to media and marketing for long-term growth.
Key takeaways:
• U.S. consumer trends and engagement compared to advertiser approach to search, social, ecommerce, gaming, CTV, DOOH, podcasts, and more
• Media consumption differences across key audience demographics and implications for omnichannel planning
• Brands’ mindset, approach, and recommendations for ongoing experimentation and testing into emerging platforms
• Barriers to adopting omnichannel programs and recommended solutions
• The impact of privacy and identity on consumers, advertisers, and omnichannel programs
View the recording here: https://www.catalystdigital.com/techseoboost/#on-demand-recordings
Brian Ta, Product Manager, Coinbase
Learn how to set up an A/B testing framework, and more importantly, how you should approach, design, and run SEO experiments.
TechSEO Boost 2021 - Rendering Strategies: Measuring the Devil’s Details in C...Catalyst
View the recording here: https://www.catalystdigital.com/techseoboost/#on-demand-recordings
Jamie Indigo, Technical SEO Consultant, DeepCrawl
Everyone's buzzing about Core Web Vitals, but we often overlook critical context-- these metrics are the results of how we render content. Let's deep dive into render mechanics, strategies, performance measurement and what's the best fit for your site. As with most things SEO: it's not about what you do; it's how you do it.
TechSEO Boost 2021 - The Future Is The Past: Tagging And Tracking Through The...Catalyst
View the recording here: https://www.catalystdigital.com/techseoboost/#on-demand-recordings
Simo Ahava, Co-founder, Simmer
Server-side tagging introduces something of a paradigm shift to setting up marketing data collection for an organization. Instead of burdening the client device with the responsibility for sending data to third-party endpoints, the data streams are instead proxied through a server-side endpoint that your organization owns. This has huge implications on things like data governance, quality, privacy, security, and enrichment. Unlike traditional “server-side tracking”, where data is collected and processed server-to-server, server-side tagging lets you essentially turn a server environment into a tag management solution.
In this talk, Simo Ahava will walk you through this new paradigm, introducing concepts that some of you might remember from pre-Google-Analytics days of web analytics. But server-side tagging is just so much more. Just like tag management for web browsers broke pre-established notions of what it is to deploy marketing pixels on a site, server-side tagging is here to disrupt the outdated approach of stuffing the site full of third-party resource loads and hoping that the users won’t notice.
Big things are happening in programmatic.
We’ll share actionable insights to drive business results in 2021, while exploring the potential impact of each trend over the next decade. Sign up and uncover strategies to address key trends like:
- Cookieless World: The future of identity & audiences
- Video: Learn why a fragmented video landscape needs integration
- AI: Humans are advancing AI into unique and creative use-cases
- Ecommerce: All brands are now ecommerce brands, what does that mean for marketers?
- Gaming: Already bigger than the Super Bowl! Never been a better time to get in the game
- Creative: Creative meets digital for hyper-targeted, customization at scale
- Omnichannel Activations: Consumers are everywhere, are you?
New Commerce Conference: Charting a Course to Success with Your Retail Media ...Catalyst
As the retail media ecosystem becomes more complex, brands are leaning into retailers, tech platforms, and agency partners more than ever. Strong partnerships pave the way for successful retail media programs. But where do you begin? How do you build a solid foundation with key players and effectively work together toward shared goals?
Join Kroger, PromoteIQ, and Catalyst to learn how. We’ll share collaboration tips to help you make the most of your retail media partnerships. We’ll explore:
Why it’s critical to understand each retailer’s unique program
Why and how to include retailers in media and marketing planning
How to look beyond the retailer UI & front line metrics
The role of agencies in the retail media ecosystem
Speakers:
Kerry Curran, Managing Partner, Executive Director, Marketing & Growth, GroupM Services, US
Peter Johnson, Client Partner Lead, PromoteIQ
Michael Schuh, Director, Product Strategy & Innovation – Kroger Precision Marketing, 84.51°
Riyaad Edoo, Group Director, Search and eCommerce, Mindshare
The New Commerce Conference: The Omni-channel ImperativeCatalyst
Presentation:
The Age of Omni-Commerce & What It Means for Marketing Strategies
Welcome to the age of omni-commerce. From Google to Amazon, and from Instagram to Instacart, commerce is happening all around us. It is ubiquitous and omni-present. What does this mean for brands?
It means that omni-channel strategies are more critical than ever. Join this presentation as we size up the omni-channel opportunity and share tips for planning and activating an effective omni-channel program.
You’ll discover how to capitalize on commerce opportunities across search, social, retail media, and emerging programmatic channels like connected TV, audio, digital out-of-home, and more.
Panel:
Less Silos, More Symbiosis: Omni-Channel Strategies to Drive In-Store & Ecomm Sales
Many marketers take separate and siloed approaches to in-store and ecommerce marketing. It’s time to rethink this approach. As the digital ecosystem continues to drive purchase behavior across in-store and ecommerce, brands must identify and capitalize on synergies across online and in-store.
Join our panel discussion to learn how to get started. You’ll hear from commerce experts as they discuss their omni-channel journeys and share how they’ve broken down silos to drive better performance both online and in-store.
New Commerce Commerce: All Things InstacartCatalyst
Getting Started Marketing on Instacart
Instacart is booming. It experienced exponential growth in 2020 and 63% of Instacart customers plan to use the service even more in the future. This translates to major opportunities for brands of all shapes and sizes. Instacart offers new ways to market your brand, connect with customers, and efficiently drive sales. But, how do brands get started with Instacart? How do you harness the power of Instacart to promote your brand or product? We have you covered. Join Catalyst, Instacart, and Pacvue as we share key considerations for a rock-solid Instacart marketing strategy.
In this three-part presentation, we’ll cover:
- The Landscape: We’ll explore today’s online grocery landscape, highlighting the consumer trends fueling Instacart’s ascent. Discover how consumers use Instacart today, the changing demos of Instacart users, the connection between online grocery and in-store sales, and more.
- Instacart 101: We’ll provide an overview of the Instacart Advertising platform and paid media offering, including tips and best practices for strategy and execution. We’ll also discuss the importance of product detail page (PDP) optimization for visibility and conversions.
- Leaning into the Instacart Opportunity: We’ll share real-life examples of how advertisers are leaning into the Instacart opportunity to acquire customers and drive sales, and how they are thinking about Instacart in a post-COVID world.
The Power of SEO: Protect Your Bottom Line & Future Proof Your BrandCatalyst
The economic rollercoaster of 2020 has forced many marketers to pause paid media, scale back campaigns, and reevaluate future strategies. In the face of this rapid and unpredictable change, SEO has remained a tried and true way to generate cost efficiencies, own your brand, and future-proof your business. Catalyst, part of GroupM, is hosting a new SEO webinar with MediaPost to show you how and why. Tim Eschenauer, Head of SEO for GroupM, will discuss the SEO imperative, exploring how SEO can maximize performance regardless of economic climate.
Learn how SEO can help:
- Create efficiencies & save costs. Discover how SEO can prevent you from needlessly paying paid search premiums. We’ll discuss how SEO can increase your paid quality scores to maximize efficiencies and benefit your bottom line.
- Own your brand presence. Uncover how SEO can help you take control of your brand presence, fend off competition, and reach consumers.
- Future-proof your business (for the good times & bad). Learn how building a strong organic presence today can prepare your brand for future, regardless of what that future holds. Prioritizing SEO now can better prepare you for future disruptions or paid media reductions while also maximizing results when it’s business as usual.
The Era of Omni-Commerce: New Insights for Dominating the Digital Shelf and B...Catalyst
Welcome to the era of omni-commerce. From Instagram to Walmart and from Google to Pinterest, consumers have many options above and beyond Amazon for online product research and purchases. How can brands effectively reach their consumers across all of today’s top ecommerce channels to dominate the digital shelf and maximize sales? Join Catalyst’s Meghan Lanvin and Kantar’s Rachel Dalton to learn how. They’ll debut new original research that explores these topics and more. Audiences will receive an unmatched look at consumers’ online shopping behavior across key ecommerce platforms for the entire customer journey, from inspiration and discovery, all the way to purchase. By comparing online shopping trends with advertisers’ investments in ecommerce platforms, the new research will also showcase opportunities for more effective ecommerce strategies.
Gain actionable insights that will help you build stronger connections with shoppers and buyers while building your long-term revenue.
Reignite Your Business with Performance Marketing: 4 Ways to Fuel Your ReopeningCatalyst
The COVID-19 crisis has forever changed how consumers engage with brick and mortar businesses. As people slowly and cautiously emerge from their homes, how do brands connect with their consumers to fuel their business reopenings and reignite sales? Join our webinar to learn how. We’ll share five ways that advertisers can use performance marketing to reach customers in authentic and helpful ways as they navigate the new physical shopping experience. Our performance marketing experts will share tips for planning and fueling your reopening through:
- DOOH: Learn how to plan for reengaging with consumers as they carefully resume commutes, travel, and shopping experiences outside of home. See how DOOH can keep you top-of-mind as consumers restart public life.
- Programmatic Audio: Discover how to be present as consumers develop new routine of podcasts, playlists, and more. Grab their ears and reengage via programmatic audio as they adapt to their new normal.
- Local Search & Waze Ads: Learn how local search strategies and Waze Ads can increase your visibility as consumers search for conveniently located stores and physical locations. Provide helpful and handy information to assist them on their new shopping journey.
- Yelp: Yelp has launched several new features to help large chains connect with consumers during Covid-19. Learn how brands are leveraging these tools to engage with the 90+ million monthly consumers visiting Yelp looking to transact with a local business. As the most trusted source of local business content, Yelp continues to be an essential tool to connect consumers with brands as locations adapt to the new normal.
Reignite Your Business with Performance Marketing: 4 Ways to Dial-Up Brand In...Catalyst
View the webinar recording here: https://register.gotowebinar.com/register/3145175408392840464
COVID-19 has shuttered stores and changed the physical shopping experience as we know it. As we cautiously approach a new normal, how can brands remain relevant and create meaningful consumer connections that fuel business growth and in-store sales in the future? Join our webinar to learn how. We’re uniting experts from across Catalyst and Xaxis to discuss innovative ways to use performance marketing to reignite interest in your brand and prime consumers for your reopening.
You’ll uncover how to:
- Uncover insights that drive authentic and helpful messaging. Through our approach to advanced analytics and FUSION tool, we’ll share strategies for unearthing data points that bring you closer to your consumers and their challenges, inspiring communication that is pragmatic, relevant , and helpful.
- Improve organic visibility through SEO. With some advertisers pausing or reducing paid media initiatives, earned media channels have become more important than ever. Discover how to maximize your organic visibility in traditional search engines and why it will pay dividends post COVID-19.
- Strategically leverage influencer marketing. You’ll learn how to interact with consumers through trusted creators and create a platform for authentic engagement that is sensitive to the times. We’ll share a simplified approach to discovering the best influencer match for your brand.
- Reach audiences at home with CTV. We’ll share some of the biggest opportunities for marketers (especially as it compares to traditional TV buying) to message their audiences and drive business outcomes as consumers continue to make the jump to CTV at home. You’ll learn how to eliminate wasted impressions, employ more granular audience targeting, and take an enhanced approach to measurement.
Evolve Your Social Commerce Strategy: Thinking Beyond FacebookCatalyst
Are you looking to step up your social commerce strategy? A best in class social commerce strategy leaves no stone unturned. Catalyst’s webinar slides are available so you can learn how to expand your social commerce strategy beyond traditional tactics on Facebook and Instagram. You’ll discover innovative ways to leverage additional platforms, like Pinterest and Snapchat, to unlock niche audiences and drive more sales for your business.
Key Takeaways:
• Purchase Drivers vs. Purchase Influencers: Discover what social platforms drive purchase vs. influence purchase and how each can have a key role in your commerce strategy.
• Budget Fluidity: Learn about the importance of budget fluidity when it comes to a multi-platform social commerce strategy and how budget fluidity can impact campaign efficiency and consumer touch points.
• Pinterest Opportunities: Explore audience propensity and the commerce opportunity on Pinterest, including Standard Pins, Shop the Look Pins, & Product Pins
• Snapchat Opportunities: Explore audience propensity and commerce opportunity on Snapchat, including Snap Ads, Story Ads, Collection Ads, & AR Len
Want to make 2020 a record-breaking year for your B2B business? Check out our webinar slides to learn how to use SEO to grow traffic and increase qualified leads.
Digital Commerce Lecture for Advanced Digital & Social Media Strategy at UCLA...Valters Lauzums
E-commerce in 2024 is characterized by a dynamic blend of opportunities and significant challenges. Supply chain disruptions and inventory shortages are critical issues, leading to increased shipping delays and rising costs, which impact timely delivery and squeeze profit margins. Efficient logistics management is essential, yet it is often hampered by these external factors. Payment processing, while needing to ensure security and user convenience, grapples with preventing fraud and integrating diverse payment methods, adding another layer of complexity. Furthermore, fulfillment operations require a streamlined approach to handle volume spikes and maintain accuracy in order picking, packing, and shipping, all while meeting customers' heightened expectations for faster delivery times.
Amid these operational challenges, customer data has emerged as an important strategy. By focusing on personalization and enhancing customer experience from historical behavior, businesses can deliver improved website and brand experienced, better product recommendations, optimal promotions, and content to meet individual preferences. Better data analytics can also help in effectively creating marketing campaigns, improving customer retention, and driving product development and inventory management.
Innovative formats such as social commerce and live shopping are beginning to impact the digital commerce landscape, offering new ways to engage with customers and drive sales, and may provide opportunity for brands that have been priced out or seen a downturn with post-pandemic shopping behavior. Social commerce integrates shopping experiences directly into social media platforms, tapping into the massive user bases of these networks to increase reach and engagement. Live shopping, on the other hand, combines entertainment and real-time interaction, providing a dynamic platform for showcasing products and encouraging immediate purchases. These innovations not only enhance customer engagement but also provide valuable data for businesses to refine their strategies and deliver superior shopping experiences.
The e-commerce sector is evolving rapidly, and businesses that effectively manage operational challenges and implement innovative strategies are best positioned for long-term success.
Core Web Vitals SEO Workshop - improve your performance [pdf]Peter Mead
Core Web Vitals to improve your website performance for better SEO results with CWV.
CWV Topics include:
- Understanding the latest Core Web Vitals including the significance of LCP, INP and CLS + their impact on SEO
- Optimisation techniques from our experts on how to improve your CWV on platforms like WordPress and WP Engine
- The impact of user experience and SEO
Most small businesses struggle to see marketing results. In this session, we will eliminate any confusion about what to do next, solving your marketing problems so your business can thrive. You’ll learn how to create a foundational marketing OS (operating system) based on neuroscience and backed by real-world results. You’ll be taught how to develop deep customer connections, and how to have your CRM dynamically segment and sell at any stage in the customer’s journey. By the end of the session, you’ll remove confusion and chaos and replace it with clarity and confidence for long-term marketing success.
Key Takeaways:
• Uncover the power of a foundational marketing system that dynamically communicates with prospects and customers on autopilot.
• Harness neuroscience and Tribal Alignment to transform your communication strategies, turning potential clients into fans and those fans into loyal customers.
• Discover the art of automated segmentation, pinpointing your most lucrative customers and identifying the optimal moments for successful conversions.
• Streamline your business with a content production plan that eliminates guesswork, wasted time, and money.
For too many years marketing and sales have operated in silos...while in some forward thinking companies, the two organizations work together to drive new opportunity development and revenue. This session will explore the lessons learned in that beautiful dance that can occur when marketing and sales work together...to drive new opportunity development, account expansion and customer satisfaction.
No, this is not a conversation about MQLs and SQLs. Instead we will focus on a framework that allows the two organizations to drive company success together.
AI-Powered Personalization: Principles, Use Cases, and Its Impact on CROVWO
In today’s era of AI, personalization is more than just a trend—it’s a fundamental strategy that unlocks numerous opportunities.
When done effectively, personalization builds trust, loyalty, and satisfaction among your users—key factors for business success. However, relying solely on AI capabilities isn’t enough. You need to anchor your approach in solid principles, understand your users’ context, and master the art of persuasion.
Join us as Sarjak Patel and Naitry Saggu from 3rd Eye Consulting unveil a transformative framework. This approach seamlessly integrates your unique context, consumer insights, and conversion goals, paving the way for unparalleled success in personalization.
The Forgotten Secret Weapon of Digital Marketing: Email
Digital marketing is a rapidly changing, ever evolving industry--Influencers, Threads, X, AI, etc. But one of the most effective digital marketing tools is also one of the oldest: Email. Find out from two Houston-based digital experts how to maximize your results from email.
Key Takeaways:
Email has the best ROI of any digital tactic
It can be used at any stage of the customer journey
It is increasingly important as the cookie-less future gets closer and closer
Monthly Social Media News Update May 2024Andy Lambert
TL;DR. These are the three themes that stood out to us over the course of last month.
1️⃣ Social media is becoming increasingly significant for brand discovery. Marketers are now understanding the impact of social and budgets are shifting accordingly.
2️⃣ Instagram’s new algorithm and latest guidance will help us maintain organic growth. Instagram continues to evolve, but Reels remains the most crucial tool for growth.
3️⃣ Collaboration will help us unlock growth. Who we work with will define how fast we grow. Meta continues to evolve their Creator Marketplace and now TikTok are beginning to push ‘collabs’ more too.
SEO as the Backbone of Digital MarketingFelipe Bazon
In this talk Felipe Bazon will share how him and his team at Hedgehog Digital share our journey of making C-Levels alike, specially CMOS realize that SEO is the backbone of digital marketing by showing how SEO can contribute to brand awareness, reputation and authority and above all how to use SEO to create more robust global marketing strategies.
A.I. (artificial intelligence) platforms are popping up all the time, and many of them can and should be used to help grow your brand, increase your sales and decrease your marketing costs.In this presentation:We will review some of the best AI platforms that are available for you to use.We will interact with some of the platforms in real-time, so attendees can see how they work.We will also look at some current brands that are using AI to help them create marketing messages, saving them time and money in the process. Lastly, we will discuss the pros and cons of using AI in marketing & branding and have a lively conversation that includes comments from the audience.
Key Takeaways:
Attendees will learn about LLM platforms, like ChatGPT, and how they work, with preset examples and real time interactions with the platform. Attendees will learn about other AI platforms that are creating graphic design elements at the push of a button...pre-set examples and real-time interactions.Attendees will discuss the pros & cons of AI in marketing + branding and share their perspectives with one another. Attendees will learn about the cost savings and the time savings associated with using AI, should they choose to.
SMM Cheap - No. 1 SMM panel in the worldsmmpanel567
Boost your social media marketing with our SMM Panel services offering SMM Cheap services! Get cost-effective services for your business and increase followers, likes, and engagement across all social media platforms. Get affordable services perfect for businesses and influencers looking to increase their social proof. See how cheap SMM strategies can help improve your social media presence and be a pro at the social media game.
The What, Why & How of 3D and AR in Digital CommercePushON Ltd
Vladimir Mulhem has over 20 years of experience in commercialising cutting edge creative technology across construction, marketing and retail.
Previously the founder and Tech and Innovation Director of Creative Content Works working with the likes of Next, John Lewis and JD Sport, he now helps retailers, brands and agencies solve challenges of applying the emerging technologies 3D, AR, VR and Gen AI to real-world problems.
In this webinar, Vladimir will be covering the following topics:
Applications of 3D and AR in Digital Commerce,
Benefits of 3D and AR,
Tools to create, manage and publish 3D and AR in Digital Commerce.
Financial curveballs sent many American families reeling in 2023. Household budgets were squeezed by rising interest rates, surging prices on everyday goods, and a stagnating housing market. Consumers were feeling strapped. That sentiment, however, appears to be waning. The question is, to what extent?
To take the pulse of consumers’ feelings about their financial well-being ahead of a highly anticipated election, ThinkNow conducted a nationally representative quantitative survey. The survey highlights consumers’ hopes and anxieties as we move into 2024. Let's unpack the key findings to gain insights about where we stand.
The Secret to Engaging Modern Consumers: Journey Mapping and Personalization
In today's digital landscape, understanding the customer's journey and delivering personalized experiences are paramount. This masterclass delves into the art of consumer journey mapping, a powerful technique that visualizes the entire customer experience across touchpoints. Attendees will learn how to create detailed journey maps, identify pain points, and uncover opportunities for optimization. The presentation also explores personalization strategies that leverage data and technology to tailor content, products, and experiences to individual customers. From real-time personalization to predictive analytics, attendees will gain insights into cutting-edge approaches that drive engagement and loyalty.
Key Takeaways:
Current consumer landscape; Steps to mapping an effective consumer journey; Understanding the value of personalization; Integrating mapping and personalization for success; Brands that are getting It right!; Best Practices; Future Trends
In this presentation, Danny Leibrandt explains the impact of AI on SEO and what Google has been doing about it. Learn how to take your SEO game to the next level and win over Google with his new strategy anyone can use. Get actionable steps to rank your name, your business, and your clients on Google - the right way.
Key Takeaways:
1. Real content is king
2. Find ways to show EEAT
3. Repurpose across all platforms
How to Run Landing Page Tests On and Off Paid Social PlatformsVWO
Join us for an exclusive webinar featuring Mariate, Alexandra and Nima where we will unveil a comprehensive blueprint for crafting a successful paid media strategy focused on landing page testing.With escalating costs in paid advertising, understanding how to maximize each visitor’s experience is crucial for retention and conversion.
This session will dive into the methodologies for executing and analyzing landing page tests within paid social channels, offering a blend of theoretical knowledge and practical insights.
The Pearmill team will guide you through the nuances of setting up and managing landing page experiments on paid social platforms. You will learn about the critical rules to follow, the structure of effective tests, optimal conversion duration and budget allocation.
The session will also cover data analysis techniques and criteria for graduating landing pages.
In the second part of the webinar, Pearmill will explore the use of A/B testing platforms. Discover common pitfalls to avoid in A/B testing and gain insights into analyzing A/B tests results effectively.
When most people in the industry talk about online or digital reputation management, what they're really saying is Google search and PPC. And it's usually reactive, left dealing with the aftermath of negative information published somewhere online. That's outdated. It leaves executives, organizations and other high-profile individuals at a high risk of a digital reputation attack that spans channels and tactics. But the tools needed to safeguard against an attack are more cybersecurity-oriented than most marketing and communications professionals can manage. Business leaders Leaders grasp the importance; 83% of executives place reputation in their top five areas of risk, yet only 23% are confident in their ability to address it. To succeed in 2024 and beyond, you need to turn online reputation on its axis and think like an attacker.\
Key Takeaways:
- New framework for examining and safeguarding an online reputation
- Tools and techniques to keep you a step ahead
- Practical examples that demonstrate when to act, how to act and how to recover
They all think they are right, that their method is the way to learn everything with enough data and computational power
Symbolists - Instead of starting with the premise and looking for the conclusions, inverse deduction starts with some premises and conclusions, and essentially works backward to fill in the gaps. The system has to ask itself “what is the knowledge that is missing?” and acquire that knowledge through analysis of existing data sets.
mimicking the human brain, building artificial neurons on AP related to s curves. Google are applying it to areas like vision and image processing, machine translation and experimental neural networks like Google’s Cat Network that helps the computer to recognize cat images.
1964
<<<<ALGORITHM >>>> Genetic Programming - makes an evolves computer programs in the same way nature evolves biologically
Survival of the Fittest & Variation
Evolutionaries - simulating the evolutionary process evolutionaries are applying the idea of genomes and DNA in the evolutionary process to data structures. The survival and offspring of units in an evolutionary model are the performance data.
1964
<<<<ALGORITHM >>>> Genetic Programming - makes an evolves computer programs in the same way nature evolves biologically
Survival of the Fittest & Variation
Evolutionaries - simulating the evolutionary process evolutionaries are applying the idea of genomes and DNA in the evolutionary process to data structures. The survival and offspring of units in an evolutionary model are the performance data.
Bayesians – hot stove - apply a type of “a priori” thinking, believing that there will be some outcomes that are more likely. They then update a hypothesis as they see more data. After several iterations, hypotheses become more likely than others.
-<<<<ALGORITHM >>>> Bayes THEORUM and Derivates <<<<< incorporate new information into out beliefs.
Bayesians – hot stove - apply a type of “a priori” thinking, believing that there will be some outcomes that are more likely. They then update a hypothesis as they see more data. After several iterations, hypotheses become more likely than others.
-<<<<ALGORITHM >>>> Bayes THEORUM and Derivates <<<<< incorporate new information into out beliefs.
Analogizers - making contrast between old and new sets of information. one of the leading proponents of this method, Douglas Hofstadter, in saying that “all intelligence is nothing but analogy.”The master algorithm here, he says, is the “nearest neighbor” principle. Nearest neighbor outcomes can give results that are similar to neural network models. The example of two country models with defined city locations, but with undefined borders. Through the application of the analogy principles, the computer generates a likely border. this “generalizing from similarity” and suggests that it has economic ramifications for technology. One example, he says, is the movie advice technologies that supply movie ratings based on known data sets, where users get recommendations based off of what others have watched previously.
<<<<ALGORITHM >>>> Support vector Machine - figures out which experiences to remember, and how to combine them to make new predictions.
Analogizers - making contrast between old and new sets of information. one of the leading proponents of this method, Douglas Hofstadter, in saying that “all intelligence is nothing but analogy.”The master algorithm here, he says, is the “nearest neighbor” principle. Nearest neighbor outcomes can give results that are similar to neural network models. The example of two country models with defined city locations, but with undefined borders. Through the application of the analogy principles, the computer generates a likely border. this “generalizing from similarity” and suggests that it has economic ramifications for technology. One example, he says, is the movie advice technologies that supply movie ratings based on known data sets, where users get recommendations based off of what others have watched previously.
<<<<ALGORITHM >>>> Support vector Machine - figures out which experiences to remember, and how to combine them to make new predictions.
One day, a female teenager’s father received a Target mailers addressed to his daughter offering her discounts on variety of baby supplies
The father went to target and complained to the local store and their corporate organization.
After doing so the daughter admitted to her father that she was in fact pregnant and had not figured out how to tell him.
Target brilliantly leverages the connected data from their Target credit card and the purchase behavior and online activity associated with that person.
The modeling started to notice highly correlated sequential product purchases.
When the beginning behavior pattern was witnessed by their system, baby mailers are automatically shipped to the name and address associated with the card, and behavior.
They also became aware of the near certainty that individuals who buy Diapers, also buy Beer.
Highest cost -> Overhead cost of employees for Amazon Fresh –Amazons Food Delivery Service
Perishable goods require inspection to ensure expired items are not delivered to customers.
Inspection requires Human Inspectors..
Is there a quantitative to measure a the degradation of produce?
Amazon created a data set of 10,000 strawberries to train machines to identify how many days a strawberry had until it would expire (between 1 – 10 days)
Collected weight, volume, density, 360 imaging to gauge color, grow location, arrival date, and a handful of other metrics.
Had their Quality Assurance inspectors, classify the same strawberry’s on shelf life (1 day to expiration to 10 days to expiration) = The classification Field
Then used Random Forrest (Symbolist) machine learning algorithm to predict how long the life of strawberry would be.
After 2 months of running 1M new strawberries through the model and adjusting some weights, the machines could predict the expiration date with 99.9% accuracy. 1.7% higher than their Quality Assurance Experts.
Amazon used Free opensource software to accomplish this.
Highest cost -> Overhead cost of employees for Amazon Fresh –Amazons Food Delivery Service
Perishable goods require inspection to ensure expired items are not delivered to customers.
Inspection requires Human Inspectors..
Is there a quantitative to measure a the degradation of produce?
Amazon created a data set of 10,000 strawberries to train machines to identify how many days a strawberry had until it would expire (between 1 – 10 days)
Collected weight, volume, density, 360 imaging to gauge color, grow location, arrival date, and a handful of other metrics.
Had their Quality Assurance inspectors, classify the same strawberry’s on shelf life (1 day to expiration to 10 days to expiration) = The classification Field
Then used Random Forrest (Symbolist) machine learning algorithm to predict how long the life of strawberry would be.
After 2 months of running 1M new strawberries through the model and adjusting some weights, the machines could predict the expiration date with 99.9% accuracy. 1.7% higher than their Quality Assurance Experts.
Amazon used Free opensource software to accomplish this.
Highest cost -> Overhead cost of employees for Amazon Fresh –Amazons Food Delivery Service
Perishable goods require inspection to ensure expired items are not delivered to customers.
Inspection requires Human Inspectors..
Is there a quantitative to measure a the degradation of produce?
Amazon created a data set of 10,000 strawberries to train machines to identify how many days a strawberry had until it would expire (between 1 – 10 days)
Collected weight, volume, density, 360 imaging to gauge color, grow location, arrival date, and a handful of other metrics.
Had their Quality Assurance inspectors, classify the same strawberry’s on shelf life (1 day to expiration to 10 days to expiration) = The classification Field
Then used Random Forrest (Symbolist) machine learning algorithm to predict how long the life of strawberry would be.
After 2 months of running 1M new strawberries through the model and adjusting some weights, the machines could predict the expiration date with 99.9% accuracy. 1.7% higher than their Quality Assurance Experts.
Amazon used Free opensource software to accomplish this.
Highest cost -> Overhead cost of employees for Amazon Fresh –Amazons Food Delivery Service
Perishable goods require inspection to ensure expired items are not delivered to customers.
Inspection requires Human Inspectors..
Is there a quantitative to measure a the degradation of produce?
Amazon created a data set of 10,000 strawberries to train machines to identify how many days a strawberry had until it would expire (between 1 – 10 days)
Collected weight, volume, density, 360 imaging to gauge color, grow location, arrival date, and a handful of other metrics.
Had their Quality Assurance inspectors, classify the same strawberry’s on shelf life (1 day to expiration to 10 days to expiration) = The classification Field
Then used Random Forrest (Symbolist) machine learning algorithm to predict how long the life of strawberry would be.
After 2 months of running 1M new strawberries through the model and adjusting some weights, the machines could predict the expiration date with 99.9% accuracy. 1.7% higher than their Quality Assurance Experts.
Amazon used Free opensource software to accomplish this.