Showing posts with label IBM. Show all posts
Showing posts with label IBM. Show all posts

Monday, July 22, 2024

g-f(2)2649 Beyond Traditional AI: Unlocking the Power of Generative AI

 


genioux Fact post by Fernando Machuca and Gemini



Introduction:


The evolution of Artificial Intelligence (AI) has brought about a new paradigm shift, with Generative AI emerging as a transformative force. In the YouTube video, "The Evolution of AI: Traditional AI vs. Generative AI," the distinction between these two approaches is elucidated, revealing the immense potential of Generative AI to reshape industries and applications.



genioux GK Nugget:


"Generative AI leverages massive real-world data and large language models to create unique, tailored solutions, surpassing the limitations of traditional AI's reliance on internal data." — Fernando Machuca and Gemini, July 22, 2024



genioux Foundational Fact:


While traditional AI utilizes a company's internal data repository to build models for specific tasks, Generative AI harnesses the vast expanse of real-world data. This allows it to train large language models that, while powerful, require a prompting and tuning layer to align with specific business needs. The result is a feedback loop that constantly refines and improves the model's accuracy and relevance.



Conclusion:


Generative AI represents a significant leap forward in AI capabilities. Its ability to learn from massive amounts of diverse data and adapt to specific applications makes it a game-changer across industries. As businesses and individuals navigate the g-f New World, understanding and harnessing the potential of Generative AI will be crucial for staying ahead of the curve and driving innovation.





REFERENCES

The g-f GK Context



The Evolution of AI: Traditional AI vs. Generative AI, IBM Technology, YouTube channel, Jul 5, 2024.

  • 28,289 views
  • AI powered tools have been used for decades, but the recent breakthroughs in generative ai have pushed the topic front and center, but what's really different about new generative ai models like large language models (LLM) compared to the traditional AI. In this video Shad Griffin explains the fundamental difference in their architectures that have made Generative AI possible.
  • AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdmC5G







Classical summary of the YouTube video:


The video is about the difference between traditional AI and generative AI.


Traditional AI works in three parts: a repository where all the data is stored, an analytics platform to build models based on that data, and an application layer to use those models. For example, a Telco company might use this kind of AI to predict which customers are likely to churn. The company would build a model to identify those customers and then use an application to try to win them back with discounts or other incentives.


Generative AI is fundamentally different. It starts with a massive amount of data from the real world, not just from a single company’s repository. This data is used to train large language models, which are very powerful but lack the specifics of a particular business. To address this, generative AI uses a prompting and tuning layer. This layer tailors the large language models to a specific use case. So, going back to the Telco example, the company would use the prompting and tuning layer to make the large language model focus on the data that’s specific to their customers. Finally, generative AI also uses an application layer, just like traditional AI. There’s also a feedback loop, but it typically goes back to the prompting and tuning part to further improve the model.


In conclusion, the main difference between traditional AI and generative AI is the fundamental architecture. Traditional AI uses a company’s own data to build models, while generative AI uses a massive amount of data from the real world. This difference means that generative AI models can be much more powerful, but they need to be tuned to a specific use case before they can be useful.





Shad Griffin


Shad Griffin is an Open Group Certified Distinguished Data Scientist currently working at IBM⁴. He supports a large healthcare client in his role⁴. Shad has a rich background in data science, having held multiple roles across various industries including Media, Telecommunications, Chemicals, Petroleum, Retail, and Manufacturing⁴.


Before joining IBM, Shad led the Data Science activities at Verizon Business Unit headquartered in Dallas, Texas⁴. He holds an MS in Economic Research from the University of North Texas⁴.


Shad is also an active contributor to the academic community. He has given talks on topics such as "Building AI that is Fair, Transparent, and Trustworthy" for the UNT College of Information C.O.D.E. career series¹.


Shad Griffin resides in Denton, Texas, with his family⁴. His work in data science, particularly in the application of AI, continues to impact real people and transform the way we live and interact with each other⁴.


Source: Conversation with Copilot, 7/23/2024

(1) CODE Speaker Series: Shad Griffin - University of North Texas. https://calendar.unt.edu/event/code_speaker_series_shad_griffin.

(2) C.O.D.E. Series featuring Shad Griffin - YouTube. https://www.youtube.com/watch?v=dVoTdfIcyW8.

(3) The History of IBM: the Personal Computer to Watson. https://www.youtube.com/watch?v=UWQd-NZcb6Y.

(4) Building Machine Learning/Predictive Models in SPSS Modeler from IBM. https://www.youtube.com/watch?v=q1fyAvlSKCg.

(5) Chad Griffin - Wikipedia. https://en.wikipedia.org/wiki/Chad_Griffin.

(6) undefined. https://ci.unt.edu/code.



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This genioux Fact post is classified as Nugget Knowledge which means: Ultra-concentrated wisdom, easily remembered and applicable to your daily life.



Type: Nugget Knowledge, Free Speech



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REFERENCES



“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)2649, Fernando Machuca and Gemini, July 22, 2024, Genioux.com Corporation.



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Monday, May 6, 2024

g-f(2)2342 Unlock Your Greatness: IBM's AI Revolution and the Future of Work

 


genioux Fact post by Fernando Machuca and Gemini



Introduction


IBM CEO Arvind Krishna envisions a future where AI unlocks a staggering $4 trillion in value. In a recent interview, he outlined IBM's strategy to capitalize on this opportunity, offering insights every business professional should understand.



genioux GK Nugget:


"AI safety regulations should target use cases, not the technology itself." — Fernando Machuca and Gemini, May 6, 2024



genioux Foundational Fact:


IBM's commitment to open-source AI is designed for enterprise needs, emphasizing efficiency, IP control, and flexibility. The company focuses on:


  • Generative AI: Streamlines customer interactions through instant data access
  • AI-powered Coding: Reduces technical debt, accelerating development
  • Digital Workforce: AI augments human workers, boosting productivity



The 10 Most Relevant genioux Facts:


  1. AI's potential impact is vast – adoption is crucial for competitiveness.
  2. Enterprise AI requires open-source solutions for security and customization.
  3. Anticipate transformation in customer service, streamlining support roles.
  4. Coding efficiency empowers developers, creating time for innovation.
  5. AI augments rather than replaces human workers, collaboration is key.
  6. AI safety regulations should target use cases, not the technology itself.
  7. Responsible AI implementation is crucial.
  8. Economic headwinds exist due to rising interest rates.
  9. Long-term economic optimism prevails due to AI advancements.
  10. AI drives demand for software, infrastructure, and cloud solutions.



Conclusion:


Krishna's vision offers a glimpse into the AI-driven workplace. By embracing responsible AI, businesses can seize growth opportunities and unlock their full potential in the digital age.



REFERENCES

The g-f GK Context



  • 462 views
  • IBM (IBM) like many other tech giants, have put considerable investments into AI. IBM Chairman and CEO Arvind Krishna spoke with Yahoo Finance's Brian Sozzi and Akiko Fujita at the Milken Global Institute Conference to discuss the company's performance, its investments in AI, and how the rest of the world views AI.
  • Krishna speaks on AI regulation in the US: "I'm not concerned about the US falling behind. What I'm concerned about is that regulators should not regulate the technology. What regulators should regulate is the risk of the use cases. Can you imagine sitting back in 1995, let's regulate the internet, so lets regulate dial-up modems. How useful would that have been to today?"
  • He continues with: "Don't regulate the technology. All you will do is it will go offshore, these are digital technologies, but regulate the use case, so we are sure it's being used responsibly. One that I also talk about, is make people who develop models accountable for what the models can do. I think those are tools that are classic policy tools and can be wonderfully applied."





Classical Summary:


In a recent interview at the Milken conference, Arvind Krishna, CEO of IBM, discussed the transformative potential of Artificial Intelligence (AI) and how IBM is at the forefront of this revolution.


Krishna believes AI is a game-changer, poised to unlock a staggering $4 trillion in value. To address this opportunity, IBM is building an open-source AI platform specifically designed for enterprise use. This platform prioritizes factors like efficiency, control over intellectual property, and flexible deployment options.


The discussion highlighted three specific areas where IBM is leveraging AI:


  1. Generative AI: This technology streamlines customer service interactions by enabling instant information retrieval from data systems, empowering call center representatives.
  2. AI-powered Coding: AI can significantly reduce technical debt in coding by automating tasks and streamlining processes.
  3. Digital Workforce Creation: IBM envisions AI-powered "digital workers" that augment the capabilities of human employees.


Krishna acknowledged concerns about AI safety and regulation. He suggests that regulations should focus on the use cases of AI, ensuring responsible implementation, rather than stifling the technology itself.


The interview also touched upon the current economic climate. While acknowledging short-term headwinds due to rising interest rates, Krishna expressed optimism about the long-term economic outlook. He believes AI and other advancements will drive demand for software, infrastructure, and cloud solutions, fostering growth.


In essence, this video portrays IBM as a leader in the AI revolution, strategically positioned to capitalize on its immense potential and reshape the future of business.



Arvind Krishna


Arvind Krishna is the Chairman and Chief Executive Officer of IBM¹. He has led the building and expansion of new markets for IBM in artificial intelligence, cloud, quantum computing, and blockchain¹. He has also played a significant role in the development of innovative IBM products and solutions based on these emerging technologies¹.


Krishna has a career spanning over 30 years at IBM, during which he led a series of bold transformations and delivered proven business results¹. He most recently drove the successful USD 34 billion acquisition of Red Hat – the largest software acquisition – that has defined the hybrid cloud market¹. 


Before his current role, Krishna was senior vice president of Cloud and Cognitive Software, where he pioneered the company’s hybrid cloud business, transformed IBM’s entire software and services portfolio and offerings for cloud, and grew the business¹. He also headed IBM Research, where he drove innovation in core and emerging technologies including artificial intelligence, quantum computing, blockchain, cloud platform services, data-driven solutions, and nanotechnology¹.


Krishna holds an undergraduate degree from the Indian Institute of Technology, Kanpur (IITK) and a Ph.D. from the University of Illinois at Urbana-Champaign¹. He is the recipient of distinguished alumni awards from both institutions¹. He is a member of the Board of Directors of the New York Federal Reserve Bank, and he serves on the Board of Directors of Northrop Grumman and the US-India Strategic Partnership Forum¹.


Source: Conversation with Bing, 5/6/2024

(1) IBM - Arvind Krishna - Chief Executive Officer. https://www.ibm.com/about/arvind.

(2) Arvind Krishna - Wikipedia. https://en.wikipedia.org/wiki/Arvind_Krishna.

(3) Arvind Krishna | IBM. https://www.ibm.com/history/arvind-krishna.

(4) IBM Newsroom - Arvind Krishna. https://newsroom.ibm.com/Arvind-Krishna.

(5) Getty Images. https://www.gettyimages.com/detail/news-photo/and-director-at-ibm-research-arvind-krishna-speaks-on-stage-news-photo/540691830.



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This genioux Fact post is classified as Bombshell Knowledge which means: The game-changer that reshapes your perspective, leaving you exclaiming, "Wow, I had no idea!"



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The genioux facts program has established a robust foundation of over 2341 Big Picture of the Digital Age posts [g-f(2)1 - g-f(2)2341].



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