Difference between revisions of "Case Studies"

From
Jump to: navigation, search
m
m
 
(66 intermediate revisions by the same user not shown)
Line 2: Line 2:
 
|title=PRIMO.ai
 
|title=PRIMO.ai
 
|titlemode=append
 
|titlemode=append
−
|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS  
+
|keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
−
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools  
+
 
 +
<!-- Google tag (gtag.js) -->
 +
<script async src="https://www.googletagmanager.com/gtag/js?id=G-4GCWLBVJ7T"></script>
 +
<script>
 +
  window.dataLayer = window.dataLayer || [];
 +
  function gtag(){dataLayer.push(arguments);}
 +
  gtag('js', new Date());
 +
 
 +
  gtag('config', 'G-4GCWLBVJ7T');
 +
</script>
 
}}
 
}}
−
[http://www.youtube.com/results?search_query=application+use+cases+case+study+studies+artificial+intelligence+deep+learning Youtube search...]
+
[https://www.youtube.com/results?search_query=use+case+study+studies+ai+deep+learning YouTube]
−
[http://www.google.com/search?q=application+use+cases+case+study+studies+deep+machine+learning+artificial+intelligence+ML ...Google search]
+
[https://www.quora.com/search?q=use%20AI%20case%20study%20studies%20deep%20learning ... Quora]
 +
[https://www.google.com/search?q=use+case+study+studies+ai+deep+learning ...Google search]
 +
[https://news.google.com/search?q=use+case+study+studies+ai+deep+learning ...Google News]
 +
[https://www.bing.com/news/search?q=use+case+study+studies+ai+deep+learning%3d%228%22 ...Bing News]
  
−
* [[Capabilities]]
+
* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Grok]] | [https://x.ai/ xAI] ... [[Groq]] ... [[Ernie]] | [[Baidu]]
−
* [http://deepindex.org/ Keeping track of what AI can do and where it is being applied | DeepIndex]
+
** [https://medium.com/@nkz.0814/generative-ai-100-usecase-d37a4ef42dad Generative AI 100 use case | Shunsuke Nakaji - Medium]
−
* [http://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-applications-and-value-of-deep-learning McKinsey&Company Insights]
+
** [https://www.enterpriseappstoday.com/news/generative-ai-statistics.html Generative AI Statistics By Industry, Sector, Revenue and Facts | Barry Elad  - Enterprise Apps Today]
−
* [http://en.wikipedia.org/wiki/Applications_of_artificial_intelligence Applications of Artificial Intelligence | Wikipedia]
+
* [https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-applications-and-value-of-deep-learning McKinsey&Company Insights]
−
* [http://medium.com/imlyra/a-list-of-artificial-intelligence-tools-you-can-use-today-for-industry-specific-3-3-5e16c68da697  Industry specific businesses tools]
+
* [https://en.wikipedia.org/wiki/Applications_of_artificial_intelligence Applications of Artificial Intelligence | Wikipedia]
−
* [http://www.makeuseof.com/tag/google-news-changes/ Train Google News]
+
* [https://medium.com/imlyra/a-list-of-artificial-intelligence-tools-you-can-use-today-for-industry-specific-3-3-5e16c68da697  Industry specific businesses tools]
−
* [http://www.forbes.com/sites/forbestechcouncil/2018/09/27/15-business-applications-for-artificial-intelligence-and-machine-learning/#2cd07292579f 15 Business Applications For Artificial Intelligence And Machine Learning | Forbes]
+
* [https://www.makeuseof.com/tag/google-news-changes/ Train Google News]
−
* [http://www.cio.com/article/3337500/artificial-intelligence/5-ways-leading-cios-are-deploying-ai-in-2019.html 5 ways leading CIOs are deploying AI in 2019 | Chris Davis]
+
* [https://www.forbes.com/sites/forbestechcouncil/2018/09/27/15-business-applications-for-artificial-intelligence-and-machine-learning/#2cd07292579f 15 Business Applications For Artificial Intelligence And Machine Learning | Forbes]
−
* [http://pathmind.com/wiki/use-cases Deep Learning, Machine Learning & AI Use Cases | Chris Nicholson - A.I. Wiki pathmind]
+
* [https://www.cio.com/article/3337500/artificial-intelligence/5-ways-leading-cios-are-deploying-ai-in-2019.html 5 ways leading CIOs are deploying AI in 2019 | Chris Davis]
 +
* [https://pathmind.com/wiki/use-cases Deep Learning, Machine Learning & AI Use Cases | Chris Nicholson - A.I. Wiki pathmind]
 +
* [https://www.bestpractice.ai/sectors  Explore the Top AI Use Cases Across Sectors | Best Practice AI]
 +
* [https://www.wired.com/category/artificial-intelligence/ The Artificial Intelligence Database | Wired]
  
  
 
<hr>
 
<hr>
  
−
<b>What challenge can your AI investment solve?</b>
+
<b>What challenge(s) can your AI investment solve?</b>
 
   
 
   
−
What mission outcome(s) will be benefited by the [[What is AI?|AI investment]], e.g. to increase revenue ([[Marketing|marketing]]), to be competitive ([[Moonshots|gain capability]]), to increase performance ([[Anomaly Detection|detection]], [[Robotics|automation]], [[Space/Planets|discovery]]), reduce costs ([[Agriculture|optimization]], [[Operations & Maintenance|predictive maintenance]], [[Forecasting|reduce inventory]]), [[Drug Discovery|time reduction]], provide personalization ([[Recommendation|recommendations]]), [[Risk, Compliance and Regulation|avoid risk of non-compliance]], better communication ([[Assistants|user interface]], [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|natural-language understanding]], [[Telecommunications|telecommunications]]), broader and better integration ([[Internet of Things (IoT)]], [[Smart Cities|smart cities]]), or other outcome(s)?
+
* increase revenue ([[Marketing|marketing]])
−
 
+
* more competitive ([[Moonshots|gain capability]])
−
<hr>
+
* increase performance ([[Anomaly Detection|detection]], [[Robotics|automation]], [[Astronomy|discovery]])
 +
* reduce costs ([[Agriculture|optimization]], [[Operations & Maintenance|predictive maintenance]], [[Forecasting|reduce inventory]])  
 +
* [[Drug Discovery|time reduction]]  
 +
* provide personalization ([[Recommendation|recommendations]])
 +
* [[Risk, Compliance and Regulation|avoid risk of non-compliance]]
 +
* better communication ([[Assistants|user interface]], [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|natural-language understanding]], [[Telecommunications|telecommunications]])
 +
* broader and better integration ([[Internet of Things (IoT)]], [[Smart Cities|smart cities]])
 +
* or other outcome(s) such as below...
  
−
 
+
* [[Market Trading]]
−
* [[Stock Market Trading]]
 
 
* [[Sports]]  
 
* [[Sports]]  
 
** [[Sports Prediction]]
 
** [[Sports Prediction]]
Line 34: Line 55:
 
* [[Toys]]
 
* [[Toys]]
 
* [[Social Science]]
 
* [[Social Science]]
−
** [[News]]
+
** [[Journalism]]/News
 
** [[Marketing]]
 
** [[Marketing]]
 
** [[Religion]]
 
** [[Religion]]
 
** [[Education]]  
 
** [[Education]]  
−
** [http://deepindex.org/#Home Home & Lifestyle]
+
** [[Art]]
−
* [http://deepindex.org/#Creative Creative]
 
 
** [[Music]]
 
** [[Music]]
−
** [[Art]]
 
 
** [[Photography]]  
 
** [[Photography]]  
−
** [[Videos & Movies]]
+
** [[Video/Image|Video]] & Movie Entertainment
−
** [[Writing]]  
+
** [[Writing/Publishing]]
−
* [[Publishing]]
+
** [[Fashion]]
−
* [[Fashion]]
+
** [[Fabrics & Textiles]]
−
* [[Fabrics & Textiles]]
 
−
* [http://deepindex.org/#Vision Vision]
 
 
* [[Client Engagement]]  
 
* [[Client Engagement]]  
 
* [[Human Resources (HR)]]
 
* [[Human Resources (HR)]]
−
* [[Personal Relationships]]
+
* [[Personal Productivity]]
−
* [http://deepindex.org/#Speech Speech] & [[Natural Language Processing (NLP) | Language]]
+
** [[Personal Companions]]
−
* [[Animal Language]]
+
** [[Assistants]] ... [[Agents]] ... [[Robotic Process Automation (RPA)]]
−
* [[Language Translation]]
+
** [[Email]]
 +
** [[Transhumanism]]
 +
* [[Natural Language Processing (NLP) | Language]]
 +
** [[Animal Language]]
 +
** [[Language Translation]]
 
* [[Travel & Tourism]]  
 
* [[Travel & Tourism]]  
 
* [[Hospitality, Food, and Spirits]]  
 
* [[Hospitality, Food, and Spirits]]  
−
* [http://deepindex.org/#Science Science]
+
* [[Quantum]]
−
** [[Materials]]
+
* Science:
−
** [[Geology: Mining, Oil & Gas]]
+
** [[Agriculture]]
−
** [[Seismology]]
+
** [[Animal Ecology]]
−
** [[Satellite Imagery]]
 
−
** [[Space/Planets]]
 
−
** [[Aerospace]]
 
 
** [[Archaeology]]
 
** [[Archaeology]]
−
** [[Paleontology]]
+
*** [[Paleontology]]
−
** [[Animal Ecology]]
+
** [[Bioinformatics]]
−
** [[Agriculture]]
+
** [[Chemistry]]
−
** [[Meteorology]]
 
 
** [[Environmental Science]]
 
** [[Environmental Science]]
−
** [[Life Sciences]]
+
** [[Geology: Mining, Oil & Gas]]
−
** [[Chemistry]]
 
−
** [[Bioinformatics]]
 
 
** [[Healthcare]]
 
** [[Healthcare]]
−
*** [[Psychology - Mental Health]]
 
 
*** [[Pharmaceuticals]]
 
*** [[Pharmaceuticals]]
 
**** [[Drug Discovery]]
 
**** [[Drug Discovery]]
 
***** [[Protein Folding & Discovery]]  
 
***** [[Protein Folding & Discovery]]  
 +
*** [[Psychology - Mental Health]]
 +
** [[Life Sciences]]
 +
** [[Materials]]
 +
** [[Meteorology]]
 +
** [[Physics]]
 +
** [[Seismology]]
 +
** [[Aerospace]]
 +
** [[Astronomy]]
 +
*** [[Satellite#Satellite Imagery|Satellite Imagery]]
 
* [[Real Estate]]
 
* [[Real Estate]]
−
* [[Traditional Architecture]]
+
* [[Architecture and Interior Design]]
 
* [[Construction]]
 
* [[Construction]]
 
* [[Smart Cities]]
 
* [[Smart Cities]]
 
* [[Transportation (Autonomous Vehicles)]]  
 
* [[Transportation (Autonomous Vehicles)]]  
 
* [[Robotics]]
 
* [[Robotics]]
−
* [[Logistics]]
+
* [[Supply Chain]] ... [[Supply Chain#Logistics|Logistics]] ... [[Supply Chain#Warehousing|Warehousing]] ... [[Supply Chain#Retail|Retail]]
−
* [[Warehousing]]
+
* Software [[Development]]
−
* [http://deepindex.org/#Computing Computing]
+
* [[Computer Networks]]
−
** [[Development|Software Development]]
 
−
** [[Computer Networks]]
 
 
* [[Telecommunications]]
 
* [[Telecommunications]]
 +
** [[AI Generated Broadcast Content#Television (TV)|Television (TV)]]
 
* [[Power (Management)]]
 
* [[Power (Management)]]
 
** [[Nuclear Fusion]]
 
** [[Nuclear Fusion]]
 
* [[Resources & Utilities]]
 
* [[Resources & Utilities]]
 
* [[Operations & Maintenance]]
 
* [[Operations & Maintenance]]
−
* [http://deepindex.org/#Industrial Industrial]
 
−
* [http://deepindex.org/#Professional Professional]
 
 
* [[Requirements Management]]
 
* [[Requirements Management]]
 
* [[Project Management]]
 
* [[Project Management]]
Line 103: Line 123:
 
** [[Cybersecurity]]
 
** [[Cybersecurity]]
 
* [[Law]]
 
* [[Law]]
 +
** [[Law Enforcement]]
 +
* [[Economics]]
 +
* [[Finance & Accounting]]
 
* [[Banking]]
 
* [[Banking]]
−
* [[Finance & Accounting]]
 
 
* [[Insurance]]
 
* [[Insurance]]
−
* [http://deepindex.org/#Administrative Administrative]
+
* [[Strategy & Tactics#Business Strategy/Consulting|Business Strategy/Consulting]]
−
* [[Business Strategy/Consulting]]
 
 
* [[Politics]]
 
* [[Politics]]
 
* [[Government Services]]
 
* [[Government Services]]
−
* [[Defense]]
+
** [[National Institute of Standards and Technology (NIST)]]
−
* [http://deepindex.org/#Other Other]
+
** [[U.S. Department of Homeland Security (DHS)]]
 +
** [[Defense]]
 +
 
  
  
 
________ Products _____________
 
________ Products _____________
  
−
* [http://www.nature.com/articles/s41415-019-0551-9 A revolutionary toothbrush with artificial intelligence | British Dental Journal volume - Nature]
+
* [https://www.nature.com/articles/s41415-019-0551-9 A revolutionary toothbrush with artificial intelligence | British Dental Journal volume - Nature]
  
  
Line 123: Line 146:
 
= Analysts' Lists =
 
= Analysts' Lists =
  
−
http://cdn-images-1.medium.com/max/1000/1*ga8VI5-nLXjzdwAZ8JPDcw.png
+
https://cdn-images-1.medium.com/max/1000/1*ga8VI5-nLXjzdwAZ8JPDcw.png
 +
 
 +
https://cdn-images-1.medium.com/max/800/1*dC383HXyeEcc0xTFOakwHg.jpeg
  
−
http://cdn-images-1.medium.com/max/800/1*dC383HXyeEcc0xTFOakwHg.jpeg
+
https://cdn-images-1.medium.com/max/800/1*6DgbhoffSwezSd7E_deFzg.jpeg
  
−
http://cdn-images-1.medium.com/max/800/1*6DgbhoffSwezSd7E_deFzg.jpeg
+
https://cdn-images-1.medium.com/max/800/1*dovmtW8dkSASQCFaUV1t7A.jpeg
  
−
http://cdn-images-1.medium.com/max/800/1*dovmtW8dkSASQCFaUV1t7A.jpeg
+
https://cdn-images-1.medium.com/max/800/1*3B9-ZnqgivZtUsQfHWsJlA.jpeg
  
−
http://cdn-images-1.medium.com/max/800/1*3B9-ZnqgivZtUsQfHWsJlA.jpeg
+
https://cdn-images-1.medium.com/max/800/1*jYO-1Phyv4f6FajbROs85Q.jpeg
  
−
http://cdn-images-1.medium.com/max/800/1*jYO-1Phyv4f6FajbROs85Q.jpeg
+
https://cdn-images-1.medium.com/max/800/1*3tfxkkQNeDNUGFvVAMZ3yg.jpeg
  
−
http://cdn-images-1.medium.com/max/800/1*3tfxkkQNeDNUGFvVAMZ3yg.jpeg
+
https://cdn-images-1.medium.com/max/800/1*r1MY6AbJMxYiN3A2wLc-ww.jpeg
  
−
http://cdn-images-1.medium.com/max/800/1*r1MY6AbJMxYiN3A2wLc-ww.jpeg
+
https://cdn-images-1.medium.com/max/800/1*P8K1oaGZIy5oAkr2RB1yIQ.jpeg
  
−
http://cdn-images-1.medium.com/max/800/1*P8K1oaGZIy5oAkr2RB1yIQ.jpeg
+
https://cdn-images-1.medium.com/max/800/1*MctFSavN05ZQm7wa5bS1yg.jpeg
  
−
http://cdn-images-1.medium.com/max/800/1*MctFSavN05ZQm7wa5bS1yg.jpeg
+
https://cdn-images-1.medium.com/max/800/1*L_yobuaENnrKjZES8unrUA.jpeg
  
−
http://cdn-images-1.medium.com/max/800/1*L_yobuaENnrKjZES8unrUA.jpeg
+
https://cdn-images-1.medium.com/max/800/1*FkPVs3IbZ36M9CEhtcewHA.jpeg
  
−
http://cdn-images-1.medium.com/max/800/1*FkPVs3IbZ36M9CEhtcewHA.jpeg
+
https://cdn-images-1.medium.com/max/800/1*t1IPrwYLlEYH2HW831n3og.jpeg
  
−
http://cdn-images-1.medium.com/max/800/1*t1IPrwYLlEYH2HW831n3og.jpeg
+
https://i.pinimg.com/originals/ab/90/09/ab90093dfdbcb08f3cacd7ffed61349e.png
 +
 
 +
 
 +
 
 +
 
 +
= <span id="Identifying AI Use Cases"></span>Identifying AI Use Cases =
 +
* [[How do I leverage Artificial Intelligence (AI)?#Example Patterns to Leverage|Example Patterns to Leverage]]
 +
 
 +
 
 +
<hr><center><b><i>
 +
 
 +
If a typical person can do a mental task with less than one second of thought, we can automate it using AI …</i></b> - Andrew Ng
 +
 
 +
</center><hr>
  
−
http://i.pinimg.com/originals/ab/90/09/ab90093dfdbcb08f3cacd7ffed61349e.png
 
  
−
= Identifying AI Use Cases =
 
 
{|<!-- T -->
 
{|<!-- T -->
 
| valign="top" |
 
| valign="top" |
Line 189: Line 225:
 
<youtube>eTNRWtfCm4Q</youtube>
 
<youtube>eTNRWtfCm4Q</youtube>
 
<b>Identifying Machine Learning Use Cases
 
<b>Identifying Machine Learning Use Cases
−
</b><br>In this video we will see how to identify good candidates for machine learning. Machine learning is not a solution for all problem. If problem can be solved with simpler techniques like rules or statistics that must be the way to go. But there are reason where simple techniques might not be effective or hard to manage and maintain in this rapidly evolving data space as well as in big data era
+
</b><br>In this Video we will see how to identify good candidates for machine learning. Machine learning is not a solution for all problem. If problem can be solved with simpler techniques like rules or statistics that must be the way to go. But there are reason where simple techniques might not be effective or hard to manage and maintain in this rapidly evolving data space as well as in big data era
 
|}
 
|}
 
|}<!-- B -->
 
|}<!-- B -->
Line 206: Line 242:
 
<youtube>9nuJdj4Pfqs</youtube>
 
<youtube>9nuJdj4Pfqs</youtube>
 
<b>MFML 003 - Advice for finding AI use cases
 
<b>MFML 003 - Advice for finding AI use cases
−
</b><br>Cassie Kozyrkov  Welcome to a machine learning course for everyone! This video features a neat trick for finding an AI/ML use case.  Blog version here: http://bit.ly/quaesita_island
+
</b><br>Cassie Kozyrkov  Welcome to a machine learning course for everyone! This video features a neat trick for finding an AI/ML use case.  Blog version here: https://bit.ly/quaesita_island
 
|}
 
|}
 
|}<!-- B -->
 
|}<!-- B -->
Line 223: Line 259:
 
<youtube>0L2wFPfVkz8</youtube>
 
<youtube>0L2wFPfVkz8</youtube>
 
<b>AI Use Cases Pattern Across Industries
 
<b>AI Use Cases Pattern Across Industries
−
</b><br>“It’s really challenging to identify AI/ML use cases. How to identify?” A project manager asked this question. I said – “the easiest way to find opportunity is to look for common patterns across industries. What does this? Below are 6 commons patterns/categories where any AI/ML use cases falls irrespective of industries.
+
</b><br>“It’s really challenging to identify AI/ML use cases. How to identify?” A project manager asked this question. I said – “the easiest way to find opportunity is to look for common patterns across industries. What does this?  
−
 
 
−
Hyper Personalization – Recommendation Engines. Example Product, News, Content.
 
−
Autonomous Systems – Autonomous cars/Drones, Autonomous operation
 
−
 
 
−
Predictive Analytics & Decision Making – Predicting future and forecasting. Example Sales forecasting, Inventory forecasting, Demand planning
 
−
 
 
−
Anomalies Detection – To find patterns from data and establish relation between those to find outliers. Example Risk analysis and fraud detection.
 
−
 
 
−
Recognition – Find an object or detect any pattern from any kind of data. Example Object detection, image processing, computer vision, video processing, voice recognition
 
−
 
 
−
AI conversational - When a machine establishes a conversation with human in natural way. Example, Siri, Alexa, Cortana
 
 
|}
 
|}
 
|}<!-- B -->
 
|}<!-- B -->

Latest revision as of 14:33, 2 November 2024

YouTube ... Quora ...Google search ...Google News ...Bing News


What challenge(s) can your AI investment solve?


________ Products _____________


_______________________________

Analysts' Lists

1*ga8VI5-nLXjzdwAZ8JPDcw.png

1*dC383HXyeEcc0xTFOakwHg.jpeg

1*6DgbhoffSwezSd7E_deFzg.jpeg

1*dovmtW8dkSASQCFaUV1t7A.jpeg

1*3B9-ZnqgivZtUsQfHWsJlA.jpeg

1*jYO-1Phyv4f6FajbROs85Q.jpeg

1*3tfxkkQNeDNUGFvVAMZ3yg.jpeg

1*r1MY6AbJMxYiN3A2wLc-ww.jpeg

1*P8K1oaGZIy5oAkr2RB1yIQ.jpeg

1*MctFSavN05ZQm7wa5bS1yg.jpeg

1*L_yobuaENnrKjZES8unrUA.jpeg

1*FkPVs3IbZ36M9CEhtcewHA.jpeg

1*t1IPrwYLlEYH2HW831n3og.jpeg

ab90093dfdbcb08f3cacd7ffed61349e.png



Identifying AI Use Cases


If a typical person can do a mental task with less than one second of thought, we can automate it using AI … - Andrew Ng


MIT Bootcamps: How to identify business opportunities with AI
AI is a fundamental, transformative technology like the microprocessor or the Internet. In the coming decades it will impact nearly all aspects of business. Unfortunately, few good resources exist for our future business leaders to learn about practical AI solutions and how to integrate them into their businesses. This is a E-Seminar for interested individuals to (1) understand how AI can generate revenue in business applications; (2) identify and develop AI use cases within your business environments; and (3) mitigate risks on any new AI initiative. By the end of this session, you will be able to put these new skills to immediate use at your company or startup. This is a business skills training and not a technical training. Participants won’t learn how to build a neural network or perform feature engineering. Instead, they will learn how to use fundamental AI concepts such as training data, machine learning, deep learning in customer conversations and proposals. They will learn how to identify emerging business opportunities for AI solutions like computer vision and natural language processing.

How To Identify AI/ML Use Cases
How do you identify AI/ML use cases in your company?

1. Assess internal products and business processes. 2. Enhance B2C software and hardware products. 3. Explore B2B products and AI consulting.

If you know where to look and what questions to ask, you will develop the skill and intuition of AI/ML opportunity assessment. If you believe artificial intelligence is the future and you want to capitalize on the new career growth opportunities, consider breaking into AI through the non-technical career path. I created a free course to show you how to make a career transition to artificial intelligence, without coding, and get hired to work at the intersection of business and AI/ML. Here is the link to the course: https://drive.google.com/drive/folder... This career transition to artificial intelligence is a great step towards long-term career growth – whether you want to grow into executive leadership roles, or start your own AI company in the near future.

Applying AI to Real World Use Cases - MIT AI Conference 2019
Julie Choi - Intel Corporation, VP of Artificial Intelligence Products and Research Marketing The 2019 MIT AI Conference (https://www.mitcnc.org/events/mit-ai-...), the 3rd edition of this annual conference, focused on the Future of Computing - the rise of Artificial Intelligence and how innovators are leveraging AI to drive new use cases and achieve better outcomes across industries.

Identifying Machine Learning Use Cases
In this Video we will see how to identify good candidates for machine learning. Machine learning is not a solution for all problem. If problem can be solved with simpler techniques like rules or statistics that must be the way to go. But there are reason where simple techniques might not be effective or hard to manage and maintain in this rapidly evolving data space as well as in big data era

AI Simplified: What Makes a Good Machine Learning Use Case?
Hear from Jake Shaver, Director of Strategic Initiatives, as he walks through a checklist of steps to help you determine a good machine learning use case for your specific organization.

MFML 003 - Advice for finding AI use cases
Cassie Kozyrkov Welcome to a machine learning course for everyone! This video features a neat trick for finding an AI/ML use case. Blog version here: https://bit.ly/quaesita_island

Defining a Successful AI Project: A Framework for Choosing the Right Use Cases
With dozens of ideas for potential AI use cases but limited time and resources, how can organizations prioritize the right projects, especially in the beginning of their Enterprise AI journey? Learn how to avoid false starts on AI initiatives that are risky or ill-defined, and instead create a blueprint for future success.

AI Use Cases Pattern Across Industries
“It’s really challenging to identify AI/ML use cases. How to identify?” A project manager asked this question. I said – “the easiest way to find opportunity is to look for common patterns across industries. What does this?

Retrieved from "https://primo.ai/index.php?title=Case_Studies&oldid=37615"