Generative AI for Business Analysis - Revision history

BPeat at 20:36, 16 June 2024

2024-06-16T20:36:08Z

BPeat at 20:35, 16 June 2024

2024-06-16T20:35:55Z

BPeat at 21:05, 28 April 2024

2024-04-28T21:05:18Z

BPeat at 19:35, 16 March 2024

2024-03-16T19:35:51Z

BPeat at 19:35, 16 March 2024

2024-03-16T19:35:12Z

BPeat at 19:34, 16 March 2024

2024-03-16T19:34:38Z

BPeat at 19:32, 16 March 2024

2024-03-16T19:32:11Z

BPeat: Text replacement - "* Conversational AI ... ChatGPT | OpenAI ... Bing | Microsoft ... Bard | Google ... Claude | Anthropic ... Perplexity ... You ... Ernie | Baidu" to "* Conversational AI ... [[C...

2024-03-16T15:53:09Z

BPeat at 01:38, 3 September 2023

2023-09-03T01:38:15Z

BPeat at 19:26, 27 July 2023

2023-07-27T19:26:25Z

← Older revision		Revision as of 20:36, 16 June 2024
Line 21:		Line 21:

	* [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components\|Graphical Tools]] ... [[Diagrams for Business Analysis\|Diagrams]] & [[Generative AI for Business Analysis\|Business Analysis]] ... [[Requirements Management\|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]]		* [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components\|Graphical Tools]] ... [[Diagrams for Business Analysis\|Diagrams]] & [[Generative AI for Business Analysis\|Business Analysis]] ... [[Requirements Management\|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]]
−

@@ Line 28: / Line 28: @@
 * First, the team selects from the organization’s service library an app to create create a [[Assistants#Chatbot | chatbot]] that can interact with stakeholders and answer questions about the proposed internet infrastructure. This [[Assistants#Chatbot | chatbot]] is trained to understand the technical language used in the industry, making it easier for stakeholders to communicate their [[Requirements Management|requirements]].
 * The team uses voice [[generative AI]] to create a sample voice for the [[Assistants#Chatbot | chatbot]]. They test different voices and accents to see which one is the most effective at conveying information to stakeholders. The selected voice is then integrated into the [[Assistants#Chatbot | chatbot]].
-* The team uses using [[generative AI]] to create visualizations, simulations, and other representations of a proposed solution such as the team uses video [[generative AI]] to create a simulated video of how the internet infrastructure would work on the moon. This video includes different scenarios, such as how astronauts would access the internet and how data would be transmitted. The video is shared with stakeholders to help them visualize the proposed infrastructure and provide feedback.
+* The team uses using [[generative AI]] to create visualizations, [[simulation]]s, and other representations of a proposed solution such as the team uses video [[generative AI]] to create a [[Simulation |simulated]] video of how the internet infrastructure would work on the moon. This video includes different scenarios, such as how astronauts would access the internet and how data would be transmitted. The video is shared with stakeholders to help them visualize the proposed infrastructure and provide feedback.

@@ Line 55: / Line 55: @@
 [[Generative AI]] [[Assistants#Chatbot | chatbot]] capabilities such as [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Ernie]] | [[Baidu]] can provide analysts with real-time access to relevant information, suggest possible solutions, and help refine their analysis. The incorporation of [[Generative AI]] into the work of analysts highlights its potential as an invaluable aid that can seamlessly integrate their skills into its use.
-By working in tandem with [[generative AI]] [[Assistants#Chatbot | chatbot]]s or using a "pair analysis" approach, analysts can collaborate and solve complex problems more efficiently. This approach ensures that multiple perspectives and ideas are considered, leading to more innovative and effective solutions. Ultimately, by combining the power of [[generative AI]] with human expertise, business analysts can uncover valuable insights, refine their analysis, and develop more effective solutions, ultimately leading to improved business outcom
+By working in tandem with [[generative AI]] [[Assistants#Chatbot | chatbot]]s or using a "pair analysis" approach, analysts can collaborate and solve complex problems more efficiently. This approach ensures that multiple [[perspective]]s and ideas are considered, leading to more innovative and effective solutions. Ultimately, by combining the power of [[generative AI]] with human expertise, business analysts can uncover valuable insights, refine their analysis, and develop more effective solutions, ultimately leading to improved business outcome.
@@ Line 117: / Line 117: @@
 <i>Scenarios and outcomes</i> Analyst continuously eliciting details from the AI for user stories, their acceptance criteria, and their associated requirements. For clarity analysts use the following in prompts: Atomic, Complete, Consistent, Concise, Feasible, Unambiguous, Testable, Prioritized, and Understandable.
-* Agile [[development]] breaks down project epics into user stories to improve work prioritization, ensure value delivery to customers and stakeholders, and promote effective planning throughout the [[development]] cycle. User stories are brief, informal descriptions of user needs or requirements written from the user's perspective and describing specific scenarios in which the user interacts with the system. Good user stories focus on single features, contain necessary information, align with project goals, are concise and technically feasible, clear and understandable to all team members, have well-defined acceptance criteria, are prioritized according to importance, and are identified with traceable IDs to higher-level project requirements. Analysts ensure that user story requirements are accurately identified and traceable to project requirements.
+* Agile [[development]] breaks down project epics into user stories to improve work prioritization, ensure value delivery to customers and stakeholders, and promote effective planning throughout the [[development]] cycle. User stories are brief, informal descriptions of user needs or requirements written from the user's [[perspective]] and describing specific scenarios in which the user interacts with the system. Good user stories focus on single features, contain necessary information, align with project goals, are concise and technically feasible, clear and understandable to all team members, have well-defined acceptance criteria, are prioritized according to importance, and are identified with traceable IDs to higher-level project requirements. Analysts ensure that user story requirements are accurately identified and traceable to project requirements.
 ** Provide epics: {text of [[context]] information}
 ** Provide atomic user stories and having one "so that" in the answer: {text of requirement}

← Older revision		Revision as of 19:35, 16 March 2024
Line 31:		Line 31:


−	<img src="https://images.ctfassets.net/cnu0m8re1exe/48JyszwhGbNxH1vYq54jO3/8d0eaf0e89fca3cbdfc06d4bfd3fc527/the-moon-wifi.jpg" width="~~300~~">	+	<center><img src="https://images.ctfassets.net/cnu0m8re1exe/48JyszwhGbNxH1vYq54jO3/8d0eaf0e89fca3cbdfc06d4bfd3fc527/the-moon-wifi.jpg" width="400"></center>

← Older revision		Revision as of 19:35, 16 March 2024
Line 31:		Line 31:


−	<img src="https://images.ctfassets.net/cnu0m8re1exe/48JyszwhGbNxH1vYq54jO3/8d0eaf0e89fca3cbdfc06d4bfd3fc527/the-moon-wifi.jpg" width="~~800~~">	+	<img src="https://images.ctfassets.net/cnu0m8re1exe/48JyszwhGbNxH1vYq54jO3/8d0eaf0e89fca3cbdfc06d4bfd3fc527/the-moon-wifi.jpg" width="300">
−
−	~~Source: NASA~~

← Older revision		Revision as of 19:34, 16 March 2024
Line 31:		Line 31:


−	<img src="https://~~www~~.~~nasa~~.~~gov~~/~~sites~~/~~default~~/~~files~~/~~styles/ubernode_alt_horiz/public/thumbnails/image/human_landing_system_2024_surface_astronauts_0~~.jpg" width="800">	+	<img src="https://images.ctfassets.net/cnu0m8re1exe/48JyszwhGbNxH1vYq54jO3/8d0eaf0e89fca3cbdfc06d4bfd3fc527/the-moon-wifi.jpg" width="800">

	Source: NASA		Source: NASA

@@ Line 2: / Line 2: @@
 |title=PRIMO.ai
 |titlemode=append
-|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
+|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, Gemini, 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
 <!-- Google tag (gtag.js) -->
@@ Line 55: / Line 55: @@
 However, with the increasing complexity of modern environments, analysts require additional tools to supplement their refined skills. [[Generative AI]] presents promising advancements that can complement and enhance the critical thinking and expertise of analysts. By incorporating [[generative AI]] as an adjunct tool, analysts can perform higher-level tasks such as information synthesis, requirement interpretation, and solution [[development]] more efficiently.
-[[Generative AI]] [[Assistants#Chatbot | chatbot]] capabilities such as [[OpenAI]]'s [[ChatGPT]], [[Perplexity]]'s [[Perplexity]], [[Microsoft]]'s [[Bing]], [[You]], and [[Google]]'s [[Bard]] can provide analysts with real-time access to relevant information, suggest possible solutions, and help refine their analysis. For example using [https://bard.google.com/ using Bard .. https://bard.google.com].  The incorporation of [[Generative AI]] into the work of analysts highlights its potential as an invaluable aid that can seamlessly integrate their skills into its use.
+[[Generative AI]] [[Assistants#Chatbot | chatbot]] capabilities such as [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Ernie]] | [[Baidu]] can provide analysts with real-time access to relevant information, suggest possible solutions, and help refine their analysis. The incorporation of [[Generative AI]] into the work of analysts highlights its potential as an invaluable aid that can seamlessly integrate their skills into its use.
 By working in tandem with [[generative AI]] [[Assistants#Chatbot | chatbot]]s or using a "pair analysis" approach, analysts can collaborate and solve complex problems more efficiently. This approach ensures that multiple perspectives and ideas are considered, leading to more innovative and effective solutions. Ultimately, by combining the power of [[generative AI]] with human expertise, business analysts can uncover valuable insights, refine their analysis, and develop more effective solutions, ultimately leading to improved business outcom

@@ Line 186: / Line 186: @@
 * [[What is Artificial Intelligence (AI)? | Artificial Intelligence (AI)]] ... [[Generative AI]] ... [[Machine Learning (ML)]] ... [[Deep Learning]] ... [[Neural Network]] ... [[Reinforcement Learning (RL)|Reinforcement]] ... [[Learning Techniques]]
-* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing]] | [[Microsoft]] ... [[Bard]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[Ernie]] | [[Baidu]]
+* [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing/Copilot]] | [[Microsoft]] ... [[Gemini]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[phind]] ... [[Ernie]] | [[Baidu]]
 * [[Prompt Engineering (PE)]] ... [[Prompt Engineering (PE)#PromptBase|PromptBase]] ... [[Prompt Injection Attack]]
 * [[Evaluation | Prompts for assessing AI projects]]   ... [[Checklists]]
 * [https://barabasi.com/book/linked Linked – How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life | ] [[Creatives#Albert-László Barabási |Albert-László Barabási]]

@@ Line 42: / Line 42: @@
-<hr>
+<hr><b>
-<center> <i>Generative AI is revolutionizing the way we approach requirements gathering in business analysis by uncovering hidden patterns and generating novel solutions that were previously unimaginable</i></center>
+<center> <i>Generative AI is revolutionizing the way we approach requirements gathering in business analysis by uncovering hidden patterns and generating novel solutions that were previously unimaginable</i></center></b>
 <hr>