The document provides an overview of AI applications in restaurants and food services by Dan Faggella, CEO of TechEmergence. It discusses the current state of AI adoption in SMBs, highlights some potential uses of robotics, kiosks, chatbots, and consumer platforms, and emphasizes that AI will likely impact SMB food services indirectly through consumer applications in the near future rather than requiring direct implementation by restaurants themselves. It cautions against "toy" AI projects and recommends SMBs focus on understanding emerging consumer trends and business intelligence uses of AI.
What are the application of artificial intelligence in food industryprashanthivadla
Artificial intelligence will play a key role in food production in the future. Companies in the food and beverage industry are making rapid use of technology. Its objective is to improve operational and logistical capabilities and satisfy customer demands. To maintain great sympathy with their audience, the major players in the industry have embraced artificial intelligence.
Big data management can assist companies in collecting data from different sources like weather, road traffic, route, temperature etc., and provide a proper estimate for the time taken to deliver goods. Moreover, big data and analytics can also forecast the effect of all the above factors on the quality of food. Big Data is affecting every area of our lives, and with its promise of better product control and higher profits, we can expect to see more in the food industry adopting Big Data analysis soon.
By Professor Dr. Ir Ujang Sumarwan, Professor in Consumer Behaviour, Graduate Program of Management and Business - IPB, presented at the International Life Sciences Institute Regional Seminar on Understanding Consumer Behaviour, Jakarta, 11 May 2015
A brief presentation Organic Food Industry.
Which includes:
# Varieties of Organic Foods
# Consumption of Organic Food in India
# Why Organic Foods are costlier?
# Growth Drivers
# Government Support towards these industries
# Investment Opportunities
# Foreign Investors in India
# FDI – Foreign Direct Investment
# Export of Organic Food Products
# Employment Opportunities
# Buy Online
What is the future of Food?
Find out more on this presentation by Francesca Romana Saule, CRM Senior Manager at Accenture, shared at the Seeds&Chips Summit on April 27th, 2015.
What are the application of artificial intelligence in food industryprashanthivadla
Artificial intelligence will play a key role in food production in the future. Companies in the food and beverage industry are making rapid use of technology. Its objective is to improve operational and logistical capabilities and satisfy customer demands. To maintain great sympathy with their audience, the major players in the industry have embraced artificial intelligence.
Big data management can assist companies in collecting data from different sources like weather, road traffic, route, temperature etc., and provide a proper estimate for the time taken to deliver goods. Moreover, big data and analytics can also forecast the effect of all the above factors on the quality of food. Big Data is affecting every area of our lives, and with its promise of better product control and higher profits, we can expect to see more in the food industry adopting Big Data analysis soon.
By Professor Dr. Ir Ujang Sumarwan, Professor in Consumer Behaviour, Graduate Program of Management and Business - IPB, presented at the International Life Sciences Institute Regional Seminar on Understanding Consumer Behaviour, Jakarta, 11 May 2015
A brief presentation Organic Food Industry.
Which includes:
# Varieties of Organic Foods
# Consumption of Organic Food in India
# Why Organic Foods are costlier?
# Growth Drivers
# Government Support towards these industries
# Investment Opportunities
# Foreign Investors in India
# FDI – Foreign Direct Investment
# Export of Organic Food Products
# Employment Opportunities
# Buy Online
What is the future of Food?
Find out more on this presentation by Francesca Romana Saule, CRM Senior Manager at Accenture, shared at the Seeds&Chips Summit on April 27th, 2015.
Accessibilità by design
L'accessibilità inizia esattamente dal design.
Già in fase di progettazione visiva le scelte che si fanno possono influenzare, in senso positivo o negativo, come gli utenti riusciranno a usare effettivamente un sito/prodotto per raggiungere i loro obiettivi.
Il 67% dei problemi di accessibilità nasce dal design!
Leggi queste slide per capire perché il ruolo del designer è importante e come lavorare favorendo l'accessibilità durante la fase di progettazione
digitalization to solve these critical issues. If you wish to clearly understand how the food and beverage industry can transform digitally.
You need to download this free copy to learn more: https://www.bluemailmedia.com/digital-transformation-in-the-food-beverage-industry.php
Plant based foods for a better tomorrow, Sustainable Foods Summit, San Franci...Givaudan
In a world with a growing population, scarce resources, and strong effects from climate change, there is an increasing focus on plant-based proteins. Givaudan’s mission is to bridge the gap between animal and plant protein by providing flavours with a real meaty taste.
AI and the Future of Work [TUG-CO, 11/15/23]Matt Small
This talk was given to the Tech User Group, Central Oregon on November 15th, 2023.
~~
AI revolutionizes the way we interact with information. It will change the way we work. In this talk, we will introduce the fundamental concepts and the latest research and policies in the field. We will then explore numerous opportunities and societal challenges related to technology adoption, work augmentation and identity. Finally, we will introduce Personal AI and the mission of Kwaai Lab.
Kwaai Lab, a non-profit, volunteer-based open-source AI lab, is composed of researchers, architects, developers, and philosophers. Our goal is to design and implement the tools, fundamentals, and policies that empower us all to own our own Personal AI assistants.
AI is the area that intends to comprehend the idea of human insight through the development of computer programs that emulate the intelligent behavior. AI strategies are effectively created and utilized as a part of most of the zones of science, designing, instruction, business, and so on. The momentum AI is so fast that it dynamically, intelligently rising quickly and influencing industries from banking through to healthcare.
E-commerce is the use of computing and communication advances in commerce between a few or all parts of a trade and its clients. AI strategies are broadly utilized in the improvement of e-commerce systems too. The field of e-commerce can be classified as B2C e-commerce and B2B e-commerce, in terms of AI strategies included in this field. In this slide, we show a few vital AI methods that are valuable in the plan and improvement of e-commerce frameworks
Ready To Eat (RTE) Market In india from a consumer Behaviour ProspectiveRidhima Arora
Developed marketing strategy for ready to eat (RTE) food product line in India which still has untapped market potential from a consumer behavior prospective
"You can download this product from SlideTeam.net"
Delve into the exciting world of robotics using these content ready AI PowerPoint Presentation Slides PPT. Utilize the robotics PowerPoint slides to demonstrate the core areas of artificial intelligence including Sensory AI, Physical AI, Cognitive AI, General AI, etc. Take the assistance of this content ready machine intelligence PowerPoint complete deck to reveal reasons for using AI such as elimination of repetitive tasks, automated reporting, etc. Discuss the numerous sectors that have invested in AI like education, transportation & logistics, consumer durables, entertainment, gaming, financial services amongst others. Illustrate the value chain elements of AI like data capture, automation of raw data, solution deployment, training and creation of the ML model using the machine learning PowerPoint presentation. Expound the logic-based and pattern-based AI approaches, in brief, with the help of AI PPT layouts. Showcase the uses of machine learning and counter various challenges in the adoption of AI. Thus download our robotics process automation PPT slideshow and implement leading AI techniques. https://bit.ly/3ITDse6
Artificial Intelligence can be defined as a machine which has a brain of its own and command itself using Neurotransmission, or in a layman term it can be termed as Intelligent Computer. For example lets take the case of a fertilizer industry, Fertilizer Industry Uses robots to produce hazardous chemicals which can be dangerous when a human being come across these chemicals it can be dangerous for them, so use of robots brings the productivity at ease, and making the work continuous for 24*7. For turning off the robot you also don't need to visit the plant You can do that job remotely. Lets Talk about how Artificial Intelligence can transform marketing.
Franck Cohen, chief commercial officer at SAP, discusses the impact of artificial intelligence (AI) on e-commerce. From in-store analytics to digital assistants, AI is transforming e-commerce. Since 2012, AI commerce companies have raised US$990 million across 201 deals in the United States and Canada, as well as India, France, the United Kingdom, Singapore, Israel, and others. Join us for a discussion on how retail giants and start-ups alike can benefit from using this new technology today. Learn more: https://www.hybris.com/commerce
These deck contains an overview of what is commercially available in terms of Artificial Intelligence for business applications. Be aware: it was created on April 2017 and this is a very fast moving industry....
AI continues to expand into different areas like healthcare, agriculture, scientific research and auditing.
AI is still only touching the surface when it comes to its application, especially if AI can work with time-series data.
Artificial Intelligence in Pharma - Where it MattersDaniel Faggella
This slide deck is for a presentation for a room of French pharmaceutical executives at the Paris Region Enterprises offices in San Francisco. The presentation draws on some of our pharma coverage from TechEmergence over the last year, including:
1) https://www.techemergence.com/ai-in-pharma-and-biomedicine/
2) https://www.techemergence.com/machine-learning-in-pharma-medicine/
Accessibilità by design
L'accessibilità inizia esattamente dal design.
Già in fase di progettazione visiva le scelte che si fanno possono influenzare, in senso positivo o negativo, come gli utenti riusciranno a usare effettivamente un sito/prodotto per raggiungere i loro obiettivi.
Il 67% dei problemi di accessibilità nasce dal design!
Leggi queste slide per capire perché il ruolo del designer è importante e come lavorare favorendo l'accessibilità durante la fase di progettazione
digitalization to solve these critical issues. If you wish to clearly understand how the food and beverage industry can transform digitally.
You need to download this free copy to learn more: https://www.bluemailmedia.com/digital-transformation-in-the-food-beverage-industry.php
Plant based foods for a better tomorrow, Sustainable Foods Summit, San Franci...Givaudan
In a world with a growing population, scarce resources, and strong effects from climate change, there is an increasing focus on plant-based proteins. Givaudan’s mission is to bridge the gap between animal and plant protein by providing flavours with a real meaty taste.
AI and the Future of Work [TUG-CO, 11/15/23]Matt Small
This talk was given to the Tech User Group, Central Oregon on November 15th, 2023.
~~
AI revolutionizes the way we interact with information. It will change the way we work. In this talk, we will introduce the fundamental concepts and the latest research and policies in the field. We will then explore numerous opportunities and societal challenges related to technology adoption, work augmentation and identity. Finally, we will introduce Personal AI and the mission of Kwaai Lab.
Kwaai Lab, a non-profit, volunteer-based open-source AI lab, is composed of researchers, architects, developers, and philosophers. Our goal is to design and implement the tools, fundamentals, and policies that empower us all to own our own Personal AI assistants.
AI is the area that intends to comprehend the idea of human insight through the development of computer programs that emulate the intelligent behavior. AI strategies are effectively created and utilized as a part of most of the zones of science, designing, instruction, business, and so on. The momentum AI is so fast that it dynamically, intelligently rising quickly and influencing industries from banking through to healthcare.
E-commerce is the use of computing and communication advances in commerce between a few or all parts of a trade and its clients. AI strategies are broadly utilized in the improvement of e-commerce systems too. The field of e-commerce can be classified as B2C e-commerce and B2B e-commerce, in terms of AI strategies included in this field. In this slide, we show a few vital AI methods that are valuable in the plan and improvement of e-commerce frameworks
Ready To Eat (RTE) Market In india from a consumer Behaviour ProspectiveRidhima Arora
Developed marketing strategy for ready to eat (RTE) food product line in India which still has untapped market potential from a consumer behavior prospective
"You can download this product from SlideTeam.net"
Delve into the exciting world of robotics using these content ready AI PowerPoint Presentation Slides PPT. Utilize the robotics PowerPoint slides to demonstrate the core areas of artificial intelligence including Sensory AI, Physical AI, Cognitive AI, General AI, etc. Take the assistance of this content ready machine intelligence PowerPoint complete deck to reveal reasons for using AI such as elimination of repetitive tasks, automated reporting, etc. Discuss the numerous sectors that have invested in AI like education, transportation & logistics, consumer durables, entertainment, gaming, financial services amongst others. Illustrate the value chain elements of AI like data capture, automation of raw data, solution deployment, training and creation of the ML model using the machine learning PowerPoint presentation. Expound the logic-based and pattern-based AI approaches, in brief, with the help of AI PPT layouts. Showcase the uses of machine learning and counter various challenges in the adoption of AI. Thus download our robotics process automation PPT slideshow and implement leading AI techniques. https://bit.ly/3ITDse6
Artificial Intelligence can be defined as a machine which has a brain of its own and command itself using Neurotransmission, or in a layman term it can be termed as Intelligent Computer. For example lets take the case of a fertilizer industry, Fertilizer Industry Uses robots to produce hazardous chemicals which can be dangerous when a human being come across these chemicals it can be dangerous for them, so use of robots brings the productivity at ease, and making the work continuous for 24*7. For turning off the robot you also don't need to visit the plant You can do that job remotely. Lets Talk about how Artificial Intelligence can transform marketing.
Franck Cohen, chief commercial officer at SAP, discusses the impact of artificial intelligence (AI) on e-commerce. From in-store analytics to digital assistants, AI is transforming e-commerce. Since 2012, AI commerce companies have raised US$990 million across 201 deals in the United States and Canada, as well as India, France, the United Kingdom, Singapore, Israel, and others. Join us for a discussion on how retail giants and start-ups alike can benefit from using this new technology today. Learn more: https://www.hybris.com/commerce
These deck contains an overview of what is commercially available in terms of Artificial Intelligence for business applications. Be aware: it was created on April 2017 and this is a very fast moving industry....
AI continues to expand into different areas like healthcare, agriculture, scientific research and auditing.
AI is still only touching the surface when it comes to its application, especially if AI can work with time-series data.
Artificial Intelligence in Pharma - Where it MattersDaniel Faggella
This slide deck is for a presentation for a room of French pharmaceutical executives at the Paris Region Enterprises offices in San Francisco. The presentation draws on some of our pharma coverage from TechEmergence over the last year, including:
1) https://www.techemergence.com/ai-in-pharma-and-biomedicine/
2) https://www.techemergence.com/machine-learning-in-pharma-medicine/
Artificial Intelligence in Real Estate - 3 Ways AI can Drive SavingsDaniel Faggella
This presentation covers:
1 - The state of AI in business and real estate
2 - Current machine learning applications in real estate
3 - Tips for real estate executives to avoid AI hype and pay attention to the use-cases that may actually have value for their firms
This presentation was originally given to a group of real estate executives at a Grupo4s "Future of Real Estate" event in San Francisco, in March of 2018.
How AI is (and isn't) Making it's Way into EnterpriseDaniel Faggella
This presentation with given to the Business Executives for National Security group in Atlanta, GA. The presentation is an overview of the state of AI in enterprise, and what business leaders should do when considering artificial intelligence solutions and evaluating vendors.
How Enterprise App Stores Help Drive ProductivityDana Gardner
Transcript of a sponsored podcast discussion on the growing importance of enterprise app stores in moving organizations to a self service model that reduces complexity and delays in getting applications to end users.
The End of Stability: Rethinking Strategy for an Uncertain AgeCapgemini
Rita McGrath, a Professor at Columbia Business School, is one of the foremost experts on strategy and innovation. Her work focuses on strategy development in uncertain environments and her latest book is called The End of Competitive Advantage: How to Keep Your Strategy Moving as Fast as Your Business. Rita McGrath has been recognized among the Top 10 Most Influential Business Thinkers by Thinkers50 in 2015. Capgemini Consulting spoke to Rita McGrath to understand how organizations should go about strategy development in an era of accelerated change and disruption.
Technology in Customer ServiceA study on the effects of the rem.docxjacqueliner9
Technology in Customer Service:
A study on the effects of the removal of humans in customer service at Amazon
8
30
CHAPTER 1Introduction
Introduction
Artificial Intelligence (AI) has gotten the attention of businesses all over the world. This interest is due to the potential a company can save on overhead cost. The current AI Technology in 2020 includes but not limited to chatbots that are computer programs which trigger human speech or actual robots that can do the day-to-day tasks. The technology is still being developed and constantly improved but the current models are capable of replacing jobs such as call agents, concierge, client relations associate, customer service representative, etc. Robots have already taken over jobs in manufacturing plants and warehousing facilities. It’s inevitable that as technology advances it will start to affect every industry. According to Wald (2017, August 3), automation could save businesses $4 million annually. Four million dollars, an amount like that would persuade even fortune 500 business to make this switch and this technology is usable in almost any industry that makes the loss of millions of jobs a reality. Amazon is one of the biggest tech companies in the world and they have their hands in almost every industry in one way or another. Amazon continues to lead the way in innovative business practices and continue to take huge chunks of market share in those industries. For that reason, the researchers will determine if removal of a human representative in Amazon’s customer service department will lead to loss of customers' purchases and customers.
Problem Statement
The researchers argue that although these technologies are a great way to assist with mundane tasks and could save Amazon millions of dollars if used with Humans. However, the removal of the human component altogether will cause more damage to Amazon’s image than it will help. Money is important for businesses to think about, but the money isn’t as important as your customers. The customer is king especially for Amazon because removing customers from the equation will eventually put Amazon out of business. According to Brown (2018, July 3), when you make external changes to your business, customers will usually react in one of two ways. First of all, they might be receptive to the changes, most often when the changes don’t require a huge shift in attitude or behavior and won’t take them out of their comfort zone. On the other hand, customers might be resistant to the change. This generally happens when they have to adjust how they interact with your business, whether it’s online, via an app, or in person. In this case, your changes will be more likely to have lingering negative effects. Amazon may not see the negative effects it may have on its customers when making this change to a fully automated customer service department.
Background and Need
For most companies, saving millions of dollars could be the difference in keepi.
Technology in Customer ServiceA study on the effects of the rem.docxbradburgess22840
Technology in Customer Service:
A study on the effects of the removal of humans in customer service at Amazon
8
30
CHAPTER 1Introduction
Introduction
Artificial Intelligence (AI) has gotten the attention of businesses all over the world. This interest is due to the potential a company can save on overhead cost. The current AI Technology in 2020 includes but not limited to chatbots that are computer programs which trigger human speech or actual robots that can do the day-to-day tasks. The technology is still being developed and constantly improved but the current models are capable of replacing jobs such as call agents, concierge, client relations associate, customer service representative, etc. Robots have already taken over jobs in manufacturing plants and warehousing facilities. It’s inevitable that as technology advances it will start to affect every industry. According to Wald (2017, August 3), automation could save businesses $4 million annually. Four million dollars, an amount like that would persuade even fortune 500 business to make this switch and this technology is usable in almost any industry that makes the loss of millions of jobs a reality. Amazon is one of the biggest tech companies in the world and they have their hands in almost every industry in one way or another. Amazon continues to lead the way in innovative business practices and continue to take huge chunks of market share in those industries. For that reason, the researchers will determine if removal of a human representative in Amazon’s customer service department will lead to loss of customers' purchases and customers.
Problem Statement
The researchers argue that although these technologies are a great way to assist with mundane tasks and could save Amazon millions of dollars if used with Humans. However, the removal of the human component altogether will cause more damage to Amazon’s image than it will help. Money is important for businesses to think about, but the money isn’t as important as your customers. The customer is king especially for Amazon because removing customers from the equation will eventually put Amazon out of business. According to Brown (2018, July 3), when you make external changes to your business, customers will usually react in one of two ways. First of all, they might be receptive to the changes, most often when the changes don’t require a huge shift in attitude or behavior and won’t take them out of their comfort zone. On the other hand, customers might be resistant to the change. This generally happens when they have to adjust how they interact with your business, whether it’s online, via an app, or in person. In this case, your changes will be more likely to have lingering negative effects. Amazon may not see the negative effects it may have on its customers when making this change to a fully automated customer service department.
Background and Need
For most companies, saving millions of dollars could be the difference in keepi.
Presentation by Eura Nova on disruptive trends & business models due to cloud computing solutions - presented at sales summit 2 by Minds&More (oct 9, 2013); presented by Eric Delacroix of Eura Nova ...
Darwin's Finches, 20th Century Business, and APIsSam Ramji
APIs are transforming the web economy and forcing changes in Web business models. Darwin's imperative - adapt or perish - has never been more apt. Much like the changes from direct to indirect channels in 20th century business, APIs represent an indirect channel to customers, led by developers and applications. Learn about successful adaptations to this environment and how to help others understand the API imperative.
There’s a vast chasm between the hype and reality with today's IoT buzz. Here is a preview of the trends, predictions, value domains and routes to make your own initiatives a success.
Lifecycle and AI: Where We’re At and Where We’re GoingTinuiti
Zero- and first-party data isn’t going anywhere – and while you know that, you may not have a comprehensive strategy for it yet. You’ve probably spotted inefficiencies across your messaging channels and are keen to convert that into opportunities to optimize for conversions – but you haven’t gotten there yet. And, like all marketers, you’re also likely highly concerned with getting the most performance out of every dollar you spend.
All of the above elements of lifecycle marketing are no longer just nice-to-have, but a need-to-have in order to succeed now and future proof your strategy.
The good news is that our experts know how to navigate these challenges and opportunities and partnered with some of our favorite industry experts to share their insights.
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
Now into its ninth year, Fjord’s annual Trends Report 2016 has arrived and, once again, we unveil what we believe to be the most significant technology and business developments emerging and describe how they will transform our world in the coming 12 months.
Our Trends Report is the result of months of research, discussions and debate, pooling the collective experience at Fjord and Accenture Interactive and distilled into ten core ideas.
We believe 2016 will be another defining year for digital and will bring even more transformation, disruption and delight to organizations and their audiences. In the report you can expect to discover more about big data etiquette, the rise of employee experience (EX) design, disappearing apps, the true power of wearables and nearables and much more.
Check out the full Fjord Trends Report 2016 below, visit trends.fjordnet.com, and follow the conversation at #FjordTrends.
Enjoy!
See more at www.trends.fjordnet.com
Similar to Artificial Intelligence in Restaurants and Food Services (20)
The Challenges and Opportunities of AI for the Indian EconomyDaniel Faggella
A presentation I gave to the KV Management Institute in India, based on our research on the Indian AI ecosystem (https://emerj.com/ai-market-research/artificial-intelligence-in-india/).
AI in Mental Health and Wellbeing - Current Applications and TrendsDaniel Faggella
This is a presentation I gave at TransTech 2018 in the Bay Area - drawing from our research on mental health AI startups (https://emerj.com/ai-sector-overviews/diagnosing-and-treating-depression-with-ai-ml/).
The full video of this presentation is available online:
https://www.youtube.com/watch?v=CvrqoPpYF94
Video of the live presentation: https://www.youtube.com/watch?v=lUczD5jW96s
Event Title: 2019 New Shape Forum: Weapons Governance
Date: September 30, 2019 – October 1, 2019
Presentation Title: Weaponised Artifical Intelligence – Critical Dual-Use Applications and Trends
Team Member: Daniel Faggella, Emerj Founder and CEO
Host Organizations: Global Challenges Foundation, Geneva Disarmament Platform
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Event Host: United Nations (UNICRI), Shanghai Institutes for International Studies
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Article on Emerj.com: https://emerj.com/emerj-team-updates/dan-presented-at-a-joint-unicri-shanghai-institutes-for-international-studies-event/
AI Innovation in the Pharmaceutical Sector - Accelerating ResearchDaniel Faggella
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The presentation draws from a number of AI executive interviews and in-depth research on AI innovation in pharma R&D, much of which is available on Emerj: https://emerj.com/?s=pharma
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I gave this presentation to the Mendoza School of Business at Notre Dame University on September 20th, 2018.
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Artificial Intelligence in the Hospital SettingDaniel Faggella
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URL of the original TEDx Talk: https://www.youtube.com/watch?v=PjiZbMhqqTM
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State of global ICS asset and network exposure
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Global APT activity, AI usage, actor and tactic profiles, and implications
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Major cyber events in 2024
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Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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Artificial Intelligence in Restaurants and Food Services
1. - an Overview of Impact
Daniel Faggella, CEO at TechEmergence
AI in Restaurants and Food Services
@danfaggella
2. Background Brief
I’m Dan Faggella, CEO/Founder atTechEmergence.com
We’re a market research and media firm with one goal:To cut
through hype and show business leaders the implications,
applications, and important companies in artificial intelligence.
We have business readers all over the world (biggest following
in SF, NYC, Bangalore, London).
@danfaggella
3. Outline of the Talk
1. The State of AI in SMBsToday
2. Forward-LookingTrends of AI in Food
Services
3. Becoming “Hype-Proof” - What to Pay
Attention to in the Future
@danfaggella
4. Expectations for This Talk
This is not a pep talk about AI.
MOST of what’s happening in AI should be ignored by SMBs in
food services, and only a few trends are probably worth taking
seriously in long-term strategic planning.
I’ll be showing a representative set of AI applications - some of
which you might not have seen before - but the ROI of this talk
will be in helping you “tune out” what doesn’t matter, and hone
in on what does.
@danfaggella
5. Expectations for This Talk
Also - don’t worry about taking fast notes, because:
•I will be sticking around after the presentation to chat
•I will make my email available so that you can get the full list of
“resources” and past articles where we explore all these use-
cases in greater depth
@danfaggella
6. The State of AI in SMBs
• Make no mistake about it: It’s mostly pilots, testing (not
concrete ROI)
• For every 100 “AI companies”, we’ve found that only 1/3 is
actually leveraging AI in any serious way, and only 1/3 of those
companies are past the stage of “piloting” their product or
service (Maybe 1 in 10 “AI” companies is actually selling
something that has had a positive impact on a business)
@danfaggella
7. • Vendor applications are almost exclusively being developed
for larger firms (bespoke, custom, complex applications that
require data at scale)
• Talent, budget, time required to build one’s own AI
applications (never mind robotics applications) is gargantuan
• “Food services” isn’t getting that much attention as it’s own
distinct niche, not nearly as much as domains like eCommerce
or Pharma or other industry segments
AI Challenges for SMBs in
Food Services
@danfaggella
8. Use-Cases of AI in Enterprise
Note that restaurant is not listed specifically, though customer
service and marketing applications are relevant to this sector.
9. Roughly:
‘Old’ artificial intelligence: “Baking” human knowledge into
if-then rules, allowing machines to replicate decision-making in
a way similar to humans within a limited domain. Does not
respond to data in the real world. (Examples)
Machine learning:Training a set of “nodes” to detect
underlying patterns in reams of data in order to predict
outcomes or take action. Responds to real-world information.
(Examples)
What is “AI” and What is
“Machine Learning”?
@danfaggella
12. Robotics - Synopsis
• Absolutely not relevant for SMBs in the near term.This is far
from viable and scalable even for the biggest companies in
food services.
@danfaggella
13. Robotics - Synopsis
• What will lead to more investment and startups in this space?
Whenever the minimum wage is raised.
@danfaggella
14. Kiosk Technology
1.McDonald’s: Recommend different products depending on
season and weather
2.Wendy’s: No clear AI use-case here, though the company did
open up an emerging tech lab
3.KFC: In Asia they’re working on making product
recommendations based on the age, gender, and mood of the
customer in line
@danfaggella
15. Kiosk Technology
There is a small number of companies now working on smart
Kiosk test.“Bite Inc” is one such firm - but they only have 2
employees, one is a developer in Poland.This trend is far from
broad adoption.
@danfaggella
16. Kiosk Technology - Synopsis
• For more SMBs, these applications are extremely likely to use
AI in any way. Recommendations / optimization of purchase
orders with AI in Kiosks seems to be speculative even for the
big players.
@danfaggella
17. Kiosk Technology - Synopsis
• What will lead to more investment and startups in this space?
Whenever the minimum wage is raised.
@danfaggella
18. Chatbot / Conversational
Interfaces
This is a massive area of focus, and doesn’t necessarily need
AI in order to be useful.All restaurants want to “own” their
customer relationship, and if people get used to ordering on
an app before lunch, that might garner more market share
and even less human order-taking.
I suspect almost all of the current food services giants here
are referencing Starbucks as the technology leader here.
@danfaggella
19. Chatbot / Conversational
Interfaces
Anytime you lead a new technology adoption, it’s HARD
work. Starbucks did that with their app, they’re doing to try to
do it with their app - beginning withVoice ordering, but other
than their press release, it’s unclear if the new interface has
traction with customers.
@danfaggella
20. Chatbot / Conversational
Interfaces - Synopsis
While there are plenty of pilots of these kinds of applications,
and some functioning applications, it’s unclear how long it will
take until the medium of “Chat” becomes a commonplace
channel for ordering food, delivery or otherwise.
^ Domino’s is probably worth following when it comes to
new user interfaces for delivery orders.
What is clear is that large companies will be the ones with
the budget and the data volume to build effective bots of this
kind.
@danfaggella
21. Consumer Platforms /
Recommendation Tech
• AI will probably intersect with the SMB restaurant space first
through consumer AI tech, not restaurant AI tech. Examples:
• Existing platforms likeYelp, Google Maps, and their
competitors will likely begin adopting technology of this
kind in the years ahead.
• One such example of a new app is Halla, a
recommendation engine for restaurants based on location
and user preferences.
@danfaggella
22. Consumer Platforms - Synopsis
This will impact many restaurants in the next 2-3 years, but
“adapting” to these apps probably won’t be much different
than when restaurants learned to make “findable” listings on
Yelp, Google Maps, etc.
No real data science work will be needed on the part of
restaurants themselves.
@danfaggella
23. Analytics Solutions and AI
There is almost no attention on this space in terms of press or
current applications that we can find, but it’s low-hanging fruit.
We don't think it will be long until products like UpServe,
OpenTable,Venga, PosIQ use predictive analytics to help with
insights such as:
• Predicting visitor traffic
• Predicting food orders / inventory needs
• Better forecasting revenues / costs
@danfaggella
24. How AI Will Make it’s Way into
SMB Food Services
• In the near-term, it won’t.
• Large firms will use their huge budgets and longer time
horizons to explore what’s viable and what isn’t for AI
applications (we still have no idea what AI applications will
become “norms” in this space).
• Eventually, applications will be trained on huge volumes of big
company data, and this data will be made use-able for smaller
companies (Example).
@danfaggella
25. How AI Will Make it’s Way into
SMB Food Services
• In the interim, consumer AI applications will impact the
restaurant industry, but this won’t involve data science on the
part of the companies themselves.
• Anything that smells like a “gimmick” is one.“Build-it-yourself”
chat-bots, etc…
• There may be some marketing automation tools for
restaurants that will integrate AI in the next 2-3 years, but it
won’t involve data science chops to use them.
@danfaggella
26. Common cardinal sin:“Toy” applications
“Toy” applications are technologies or projects taken on because
they use AI, not because they solve a business problem.Vendors
play into this because they need guinea-pigs to “pilot” products,
and they’ll sometimes encourage closing deals even if they aren’t
well organized
They almost all end the same way: Lacking resources to back
them, lacking gusto to carry them through, and negatively
impacting the funds and human resources of the company (and
making the “toy” initiator into a fool).
Cardinal Sin of AI Applications
@danfaggella
27. Adoption Curve
90% of SMB food services companies will be in the late majority,
with only some in the early majority.There’s nothing wrong with
that.
@danfaggella
28. Concluding Thoughts:
Wastes of Time
1. Reading about AI applications via blogs and social
media and feeling a sense of missing out (it’s a brag fest
to seem “innovative”)
2. Seriously considering hiring in-house data-science
talent at scale (especially for firms under $20-50MM
per year)
3. Building a “chatbot” because “everyone else is doing
it” (don’t allocate funds for “fear of missing out” and
nothing else)
@danfaggella
29. Concluding Thoughts:
To Dos
1. Stay aware of which apps and consumer platforms are gaining
popularity - and carefully allocating time to platforms that might
deliver value to your firm (this involves no AI talent, no data science)
2. Keep tabs on which AI applications are becoming “norms”, fleshed-
out use-cases for public companies. Particularly:
a. Conversational interfaces / chatbots
b. AI for marketing and advertising
c. Business intelligence, inventory management, predictive
analytics
@danfaggella
30. That’s All, Folks
For questions about this talk, or to learn about our strategic
advisory and market research services, contact:
Daniel Faggella - dan@techemergence.com
@danfaggella
31. Resources (1)
• TechEmergence articles about retail AI:
• https://www.techemergence.com/ai-in-restaurants-food-services/
• https://www.techemergence.com/fast-food-robots-kiosks-and-ai-use-cases/
• https://www.techemergence.com/ai-in-food-processing/
• Machine learning in marketing:
• https://www.techemergence.com/machine-learning-marketing/
• Applying AI to Business Problems (General Understanding):
• https://www.techemergence.com/how-to-apply-machine-learning-to-business-
problems/
32. Resources (2)
• https://hbr.org/2017/04/the-first-wave-of-corporate-ai-is-doomed-to-fail
^ Quote from this article:“We believe AI will indeed transform industries. But the companies that
will succeed with AI are the ones that focus on creating organizational learning and changing
organizational DNA”
• https://hbr.org/2017/04/how-companies-are-already-using-ai
^ Good article, but author is downplaying the job automation concerns of AI.All big, bloated
consulting companies do this, be wary of people-heavy companies assuring everyone that AI won’t
replace people.
• http://www.gartner.com/smarterwithgartner/artificial-intelligence-and-the-enterprise/
^ Most relevant part of this article is the third question “How will AI impact the talent needs of an
organization?”
• https://hbr.org/2017/06/if-your-company-isnt-good-at-analytics-its-not-ready-for-ai
^ Extremely useful perspective on the “baby steps” needed to begin working with AI seriously.