Revision as of 14:09, 6 September 2020

_____________________

________ 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

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

@@ Line 171: / Line 171: @@
 {| class="wikitable" style="width: 550px;"
 ||
-<youtube>ID1</youtube>
+<youtube>VQ0IYbfM8pg</youtube>
-<b>HH1
+<b>Applying AI to Real World Use Cases - MIT AI Conference 2019
-</b><br>BB1
+</b><br>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.
 |}
 |<!-- M -->
@@ Line 179: / Line 179: @@
 {| class="wikitable" style="width: 550px;"
 ||
-<youtube>ID2</youtube>
+<youtube>eTNRWtfCm4Q</youtube>
-<b>HH2
+<b>Identifying Machine Learning Use Cases
-</b><br>BB2
+</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 -->