Monday, February 5, 2024

g-f(2)1929 Harnessing Generative AI: A Step-by-Step Guide for Enterprises

 


genioux Fact post by Fernando Machuca and Bing Chatbot (Copilot)


Introduction: 


The Forbes article “Starting Small: How To Successfully Experiment With Generative AI” provides a roadmap for enterprises to effectively implement generative AI. It emphasizes the importance of starting small, setting measurable goals, and adopting an iterative approach.




genioux GK Nugget: 


“Start small, measure success, and iterate - the key to successfully experimenting with Generative AI.” — Fernando Machuca and Bing Chatbot (Copilot)



genioux Foundational Fact: 


Generative AI holds immense potential for enterprises. However, to harness its power, enterprises must start with a specific, small problem that can be improved with generative AI. The impact of AI should be easily measurable, and the pilot project should have a contained scope. This approach allows for continuous learning and improvement, which is essential given the nascent state of generative AI technology.



10 Most Relevant genioux Facts:



  1. 45% of enterprises are piloting generative AI.
  2. 10% of enterprises are deploying generative AI in full production.
  3. Enterprises often face analysis paralysis due to the abundance of generative AI tools.
  4. The chosen problem for generative AI implementation should be practical, challenging, and its resolution should have a visible positive impact.
  5. The impact of AI should be easily measurable.
  6. The pilot project should have a contained scope.
  7. The goal is to demonstrate the real-world value of the technology.
  8. Building support for AI across the organization is crucial.
  9. Broadening adoption comes after demonstrating value.
  10. An iterative approach allows for continuous learning and improvement.



Conclusion: 


Successfully experimenting with Generative AI requires a thoughtful approach. By starting small, setting measurable goals, and iterating, enterprises can unlock the transformative potential of generative AI, driving innovation and growth.



REFERENCE

The GK Article


Alon GorenStarting Small: How To Successfully Experiment With Generative AI, Forbes, February 2, 2024.



Alon Goren


Alon Goren is the CEO and founder of AnswerRocket, a company that provides AI-powered analytics solutions for enterprise-level businesses¹². He leads product innovation and aims to bring actionable analytics to business people, enabling them to get their questions answered faster¹⁴. 


Before founding AnswerRocket, Alon co-founded Radiant Systems and served as its Chief Technology Officer for 25 years. He also served as Radiant’s Chairman from 2004 to 2011, when the company was sold to NCR for $1.3 billion¹. Alon holds a B.S. in Computer Systems Engineering from Rensselaer Polytechnic Institute¹.


Under his leadership, AnswerRocket has developed a data analytics and visualization platform that leverages natural language data discovery and machine learning algorithms. This platform allows non-technical users to type or speak business questions and get instant answers, which are provided as interactive visualizations accompanied by AI-generated insights¹². AnswerRocket's mission is to make data analysis easy and accessible to all who need it².


Source: Conversation with Bing, 2/5/2024

(1) Alon Goren | CEO and Founder - AnswerRocket | Forbes Technology Council. https://councils.forbes.com/profile/Alon-Goren-CEO-Founder-AnswerRocket/d64010b3-0b33-4e36-93a8-dfa5be29f5b9.

(2) About - AnswerRocket. https://answerrocket.com/about/.

(3) Alon Goren - DATAVERSITY. https://www.dataversity.net/contributors/alon-goren/.

(4) Alon Goren | CEO and Founder - AnswerRocket | Forbes Technology Council. https://bing.com/search?q=Alon+Goren+AnswerRocket+summary.

(5) AnswerRocket’s Competitors, Revenue, Number of Employees ... - Owler. https://www.owler.com/company/answerrocket.



Bing Chatbot's Summary


The Forbes article "Starting Small: How To Successfully Experiment With Generative AI" provides insights on how enterprises can effectively implement generative AI¹. Here's a summary:


  • Generative AI in Enterprises: Most enterprises are exploring generative AI, with 45% piloting it and 10% deploying it in full production¹. However, many enterprises face analysis paralysis due to the abundance of generative AI tools and their potential applications across various business units¹.
  • Choosing the Right Use Case: Enterprises should start with a specific, small problem that can be improved with generative AI¹. The problem should be practical, challenging, and its resolution should have a visible positive impact¹.
  • Setting Measurable Goals: The chosen problem should not be vague. The impact of AI should be easily measurable, and the pilot project should have a contained scope¹. The goal is to demonstrate the real-world value of the technology, build support for it across the organization, and then broaden adoption¹.
  • Iterative Approach: The article emphasizes starting small, getting something functional quickly, and then iterating on it¹. This approach allows for continuous learning and improvement, which is essential given the nascent state of generative AI technology¹.


Source: Conversation with Bing, 2/5/2024

(1) Starting Small: How To Successfully Experiment With Generative AI - Forbes. https://www.forbes.com/sites/forbestechcouncil/2024/02/02/starting-small-how-to-successfully-experiment-with-generative-ai/.

(2) Seven Keys To Making Generative AI Work For Your Business - Forbes. https://www.forbes.com/sites/forbestechcouncil/2024/01/19/seven-keys-to-making-generative-ai-work-for-your-business/.

(3) Generative AI: Accelerating Business Transformation Across ... - Forbes. https://www.forbes.com/sites/forbestechcouncil/2023/08/22/generative-ai-accelerating-business-transformation-across-industries/.

(4) 19 Effective Ways Small Businesses Can Leverage Generative AI - Forbes. https://www.forbes.com/sites/forbestechcouncil/2023/09/06/20-effective-ways-small-businesses-can-leverage-generative-ai/.



The categorization and citation of the genioux Fact post


Categorization


This genioux Fact post is classified as Breaking Knowledge which means: Insights for comprehending the forces molding our world and making sense of news and trends.



Type: Breaking 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)1929, Fernando Machuca and Bing Chatbot (Copilot)February 5, 2024, Genioux.com Corporation.
 
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