AI PlanetX’s Post

Embark on a Journey to Understand AI: A Comprehensive Guide! - Unlock the secrets behind AI's intricate workings! Explore the journey from problem definition to model fine-tuning. BUT, true mastery comes to those who understand these concepts AND take bold steps to apply them. - 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: • Identify the core challenges you aim to address using AI. Define the problem with precision for effective solutions. - 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the crucial phase of gathering and organizing data. Learn how quality data forms the backbone of successful AI applications. - 𝗠𝗼𝗱𝗲𝗹 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺: • Uncover the world of algorithms and model types. Understand the importance of selecting the right model to suit your specific problem. - 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: • Witness the magic of AI as models learn from data. Grasp the nuances of training models to make accurate predictions and decisions. - 𝗠𝗼𝗱𝗲𝗹 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: • Learn the art of assessing model performance. Dive into metrics and techniques to ensure your AI model meets expectations. 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the ethical dimensions of AI. Understand the importance of responsible AI development, ensuring fairness and transparency. 𝗠𝗼𝗱𝗲𝗹 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: • Refine your AI model for peak performance. Discover techniques for fine-tuning and optimization to enhance accuracy and efficiency. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: • Integrate your AI model into real-world applications seamlessly. Learn strategies for successful deployment and ongoing monitoring. - - - - - Post Credit: DIrk Zee ------------------------------------------------------------------- Join our 100K+ AI community and learn AI in 3 minutes a day for free, along with 17+ Free AI resources. ⤵ 👉 Visit AI PlanetX for more AI insights ( AIPlanetX. Com ) ------------------------------------------------------------------- #AI #chatgpt #midjourney #openai #productivity

Embark on a Journey to Understand AI: A Comprehensive Guide! - Unlock the secrets behind AI's intricate workings! Explore the journey from problem definition to model fine-tuning. BUT, true mastery comes to those who understand these concepts AND take bold steps to apply them. - 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: • Identify the core challenges you aim to address using AI. Define the problem with precision for effective solutions. - 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the crucial phase of gathering and organizing data. Learn how quality data forms the backbone of successful AI applications. - 𝗠𝗼𝗱𝗲𝗹 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺: • Uncover the world of algorithms and model types. Understand the importance of selecting the right model to suit your specific problem. - 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: • Witness the magic of AI as models learn from data. Grasp the nuances of training models to make accurate predictions and decisions. - 𝗠𝗼𝗱𝗲𝗹 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: • Learn the art of assessing model performance. Dive into metrics and techniques to ensure your AI model meets expectations. 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the ethical dimensions of AI. Understand the importance of responsible AI development, ensuring fairness and transparency. 𝗠𝗼𝗱𝗲𝗹 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: • Refine your AI model for peak performance. Discover techniques for fine-tuning and optimization to enhance accuracy and efficiency. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: • Integrate your AI model into real-world applications seamlessly. Learn strategies for successful deployment and ongoing monitoring. - - - - - Post Credit: DIrk Zee ------------------------------------------------------------------- Join our 100K+ AI community and learn AI in 3 minutes a day for free, along with 17+ Free AI resources. ⤵ 👉 Visit AI PlanetX for more AI insights ( AIPlanetX. Com ) ------------------------------------------------------------------- #AI #chatgpt #midjourney #openai #productivity

Embark on a Journey to Understand AI: A Comprehensive Guide! - Unlock the secrets behind AI's intricate workings! Explore the journey from problem definition to model fine-tuning. BUT, true mastery comes to those who understand these concepts AND take bold steps to apply them. - 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: • Identify the core challenges you aim to address using AI. Define the problem with precision for effective solutions. - 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the crucial phase of gathering and organizing data. Learn how quality data forms the backbone of successful AI applications. - 𝗠𝗼𝗱𝗲𝗹 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺: • Uncover the world of algorithms and model types. Understand the importance of selecting the right model to suit your specific problem. - 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: • Witness the magic of AI as models learn from data. Grasp the nuances of training models to make accurate predictions and decisions. - 𝗠𝗼𝗱𝗲𝗹 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: • Learn the art of assessing model performance. Dive into metrics and techniques to ensure your AI model meets expectations. 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the ethical dimensions of AI. Understand the importance of responsible AI development, ensuring fairness and transparency. 𝗠𝗼𝗱𝗲𝗹 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: • Refine your AI model for peak performance. Discover techniques for fine-tuning and optimization to enhance accuracy and efficiency. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: • Integrate your AI model into real-world applications seamlessly. Learn strategies for successful deployment and ongoing monitoring. - - - - - Post Credit: DIrk Zee ------------------------------------------------------------------- Join our 100K+ AI community and learn AI in 3 minutes a day for free, along with 17+ Free AI resources. ⤵ 👉 Visit AI PlanetX for more AI insights ( AIPlanetX. Com ) ------------------------------------------------------------------- #AI #chatgpt #midjourney #openai #productivity

Embark on a Journey to Understand AI: A Comprehensive Guide! - Unlock the secrets behind AI's intricate workings! Explore the journey from problem definition to model fine-tuning. BUT, true mastery comes to those who understand these concepts AND take bold steps to apply them. - 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: • Identify the core challenges you aim to address using AI. Define the problem with precision for effective solutions. - 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the crucial phase of gathering and organizing data. Learn how quality data forms the backbone of successful AI applications. - 𝗠𝗼𝗱𝗲𝗹 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺: • Uncover the world of algorithms and model types. Understand the importance of selecting the right model to suit your specific problem. - 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: • Witness the magic of AI as models learn from data. Grasp the nuances of training models to make accurate predictions and decisions. - 𝗠𝗼𝗱𝗲𝗹 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: • Learn the art of assessing model performance. Dive into metrics and techniques to ensure your AI model meets expectations. 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the ethical dimensions of AI. Understand the importance of responsible AI development, ensuring fairness and transparency. 𝗠𝗼𝗱𝗲𝗹 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: • Refine your AI model for peak performance. Discover techniques for fine-tuning and optimization to enhance accuracy and efficiency. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: • Integrate your AI model into real-world applications seamlessly. Learn strategies for successful deployment and ongoing monitoring. - - - - - Post Credit: DIrk Zee ------------------------------------------------------------------- Join our 100K+ AI community and learn AI in 3 minutes a day for free, along with 17+ Free AI resources. ⤵ 👉 Visit AI PlanetX for more AI insights ( AIPlanetX. Com ) ------------------------------------------------------------------- #AI #chatgpt #midjourney #openai #productivity

Embark on a Journey to Understand AI: A Comprehensive Guide! - Unlock the secrets behind AI's intricate workings! Explore the journey from problem definition to model fine-tuning. BUT, true mastery comes to those who understand these concepts AND take bold steps to apply them. - 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: • Identify the core challenges you aim to address using AI. Define the problem with precision for effective solutions. - 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the crucial phase of gathering and organizing data. Learn how quality data forms the backbone of successful AI applications. - 𝗠𝗼𝗱𝗲𝗹 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺: • Uncover the world of algorithms and model types. Understand the importance of selecting the right model to suit your specific problem. - 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: • Witness the magic of AI as models learn from data. Grasp the nuances of training models to make accurate predictions and decisions. - 𝗠𝗼𝗱𝗲𝗹 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: • Learn the art of assessing model performance. Dive into metrics and techniques to ensure your AI model meets expectations. 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the ethical dimensions of AI. Understand the importance of responsible AI development, ensuring fairness and transparency. 𝗠𝗼𝗱𝗲𝗹 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: • Refine your AI model for peak performance. Discover techniques for fine-tuning and optimization to enhance accuracy and efficiency. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: • Integrate your AI model into real-world applications seamlessly. Learn strategies for successful deployment and ongoing monitoring. - - - - - Post Credit: DIrk Zee ------------------------------------------------------------------- Join our 100K+ AI community and learn AI in 3 minutes a day for free, along with 17+ Free AI resources. ⤵ 👉 Visit AI PlanetX for more AI insights ( AIPlanetX. Com ) ------------------------------------------------------------------- #AI #chatgpt #midjourney #openai #productivity

Embark on a Journey to Understand AI: A Comprehensive Guide! - Unlock the secrets behind AI's intricate workings! Explore the journey from problem definition to model fine-tuning. BUT, true mastery comes to those who understand these concepts AND take bold steps to apply them. - 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: • Identify the core challenges you aim to address using AI. Define the problem with precision for effective solutions. - 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the crucial phase of gathering and organizing data. Learn how quality data forms the backbone of successful AI applications. - 𝗠𝗼𝗱𝗲𝗹 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺: • Uncover the world of algorithms and model types. Understand the importance of selecting the right model to suit your specific problem. - 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: • Witness the magic of AI as models learn from data. Grasp the nuances of training models to make accurate predictions and decisions. - 𝗠𝗼𝗱𝗲𝗹 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: • Learn the art of assessing model performance. Dive into metrics and techniques to ensure your AI model meets expectations. 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the ethical dimensions of AI. Understand the importance of responsible AI development, ensuring fairness and transparency. 𝗠𝗼𝗱𝗲𝗹 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: • Refine your AI model for peak performance. Discover techniques for fine-tuning and optimization to enhance accuracy and efficiency. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: • Integrate your AI model into real-world applications seamlessly. Learn strategies for successful deployment and ongoing monitoring. - - - - - Post Credit: DIrk Zee ------------------------------------------------------------------- Join our 100K+ AI community and learn AI in 3 minutes a day for free, along with 17+ Free AI resources. ⤵ 👉 Visit AI PlanetX for more AI insights ( AIPlanetX. Com ) ------------------------------------------------------------------- #AI #chatgpt #midjourney #openai #productivity

Embark on a Journey to Understand AI: A Comprehensive Guide! - Unlock the secrets behind AI's intricate workings! Explore the journey from problem definition to model fine-tuning. BUT, true mastery comes to those who understand these concepts AND take bold steps to apply them. - 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: • Identify the core challenges you aim to address using AI. Define the problem with precision for effective solutions. - 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the crucial phase of gathering and organizing data. Learn how quality data forms the backbone of successful AI applications. - 𝗠𝗼𝗱𝗲𝗹 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺: • Uncover the world of algorithms and model types. Understand the importance of selecting the right model to suit your specific problem. - 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: • Witness the magic of AI as models learn from data. Grasp the nuances of training models to make accurate predictions and decisions. - 𝗠𝗼𝗱𝗲𝗹 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: • Learn the art of assessing model performance. Dive into metrics and techniques to ensure your AI model meets expectations. 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the ethical dimensions of AI. Understand the importance of responsible AI development, ensuring fairness and transparency. 𝗠𝗼𝗱𝗲𝗹 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: • Refine your AI model for peak performance. Discover techniques for fine-tuning and optimization to enhance accuracy and efficiency. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: • Integrate your AI model into real-world applications seamlessly. Learn strategies for successful deployment and ongoing monitoring. - - - - - Post Credit: DIrk Zee ------------------------------------------------------------------- Join our 100K+ AI community and learn AI in 3 minutes a day for free, along with 17+ Free AI resources. ⤵ 👉 Visit AI PlanetX for more AI insights ( AIPlanetX. Com ) ------------------------------------------------------------------- #AI #chatgpt #midjourney #openai #productivity

Embark on a Journey to Understand AI: A Comprehensive Guide! - Unlock the secrets behind AI's intricate workings! Explore the journey from problem definition to model fine-tuning. BUT, true mastery comes to those who understand these concepts AND take bold steps to apply them. - 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: • Identify the core challenges you aim to address using AI. Define the problem with precision for effective solutions. - 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the crucial phase of gathering and organizing data. Learn how quality data forms the backbone of successful AI applications. - 𝗠𝗼𝗱𝗲𝗹 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺: • Uncover the world of algorithms and model types. Understand the importance of selecting the right model to suit your specific problem. - 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: • Witness the magic of AI as models learn from data. Grasp the nuances of training models to make accurate predictions and decisions. - 𝗠𝗼𝗱𝗲𝗹 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: • Learn the art of assessing model performance. Dive into metrics and techniques to ensure your AI model meets expectations. 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻: • Explore the ethical dimensions of AI. Understand the importance of responsible AI development, ensuring fairness and transparency. 𝗠𝗼𝗱𝗲𝗹 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: • Refine your AI model for peak performance. Discover techniques for fine-tuning and optimization to enhance accuracy and efficiency. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: • Integrate your AI model into real-world applications seamlessly. Learn strategies for successful deployment and ongoing monitoring. - - - - - Post Credit: DIrk Zee ------------------------------------------------------------------- Join our 100K+ AI community and learn AI in 3 minutes a day for free, along with 17+ Free AI resources. ⤵ 👉 Visit AI PlanetX for more AI insights ( AIPlanetX. Com ) ------------------------------------------------------------------- #AI #chatgpt #midjourney #openai #productivity

Assertion 1: Most businesses aren't taking full advantage of #AI to advance human good. This is not exclusively a #GenerativeAI discussion, but the mainstream love affair with #ChatGPT has brought all things AI into the spotlight. So, for today since it's also the start of a new week, let's look at 5 things you should consider about AI, starting with the first point today. There should be union of human/personal and analytical content enabled by modern AI. I had a great discussion with Sabastian V. Niles a few weeks ago at the Yale School of Management AI conference about the use of AI for business analytics which is in part the inspiration for this topic. Traditional #PredictiveAI is a simple concept. Analyze the past, graph the future. If a territory produced X revenue last year, it should produce Y revenue this year. However, there are "soft" factors and concrete but non-fiscal elements which also impact both anticipated outcomes and realistic expectations. Geopolitical situations, pandemic, social matters, changes of leadership, changes to account assignments, personal factors of the sales person or sales team, and more. All of these were incalculable with predictive AI but entirely accessible and useable with generative AI. However, virtually every customer I've met with in the past year has looked at using #LLMs for only a few key use cases: 👉 Summarization: "ingest this entire document set and tell me in a paragraph what the key points are" 👉 Customer support: "provide real-time access to help, how-to, and some account information" 👉 Internal automation: "deliver the accumulated information of the entire business to our employees so they can be more effective" 👉 Creative: "support marketing and authoring of materials by generating content or revising content" It makes sense - these are low hanging fruit. They're simple to justify and can show short-term benefit with minimal incremental investment. While all of these are powerful and valid use cases, they also understate the positive benefits of modern AI. Think about these instead: 👉 Neural Diversity Adaptation: Train generative AI on different personalities and learning types and provide people information in context to their unique ways of ingesting it without people having to self-identify as being neurally diverse 👉 Human Factor Layering: Apply adjustments to time series, forecasting, and management expectations by factoring every point in this post when generating sales or productivity targets The way we can leverage #FoundationModels and modern AI for societal good is to always look at business problems as human problems and workshop solutions for them from that point of view. You don't have to be a data scientist to add value to an AI discussion. You just have to care about the people you work with, the people you're responsible for, and your customers. Find the gaps and consider the art of the possible.

🤖 AI: Tool or Teammate The current surge of AI tools has the potential to amplify our evaluation work in powerful ways — from enhancing data analysis to unlocking deeper insights. But integrating these tools thoughtfully requires skill, awareness, and continuous learning. Charles Gasper is exploring how AI can complement and elevate our work while ensuring we maintain the rigor, relevance, and responsiveness our clients and communities deserve. 💡Hint: It's not about replacing humans, it's about empowering them. Read more at the 🔗 https://lnkd.in/ehyXTMgZ #Evaluation #EvaluationTools #AIinEvaluation #CommunityEngagement