Learning & Innovation Research Manager| Project Management Institute (PMI)Spain
Are you utilizing any specific checklists or protocols within your projects or company to assess your readiness for working with Generative AI data? I'm curious to know what strategies or tools you've implemented to prepare for integrating Gen AI into your workflows. Please share your approaches in the comments below! Saving Changes...
Ritu ChopraProject Manager| GenpactNew Delhi, Dl, India
Nov 29, 2023 8:14 PM
Replying to Rami Kaibni
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Claudia, this is a great question. However, given the nature of what we do as consultants, we haven't yet started preparing for this but would be very interested to see what other professionals and organizations are doing!
This is indeed thought-provoking question. We have certain templates and it will be nice to integrate the with GPT and improve our ways of working. I will read through all the comments and get new ideas. Saving Changes...
Hi Claudia, thank you. As a mater of fact, I did a post last week on my LinkedIn as to how we can utilize AI in the construction industry because AI can add lots of value if properly utilized on Construction Projects. Some of those benefits include:
1) Predictive Analytics: Using AI algorithms to forecast timelines, material requirements, and potential risks, optimizing planning and scheduling.
2) Computer Vision and Drones: AI-powered drones equipped with cameras to monitor construction sites, track progress, and identify safety hazards.
3) Generative Design: Create and optimize designs based on project requirements, site conditions, and material constraints, enhancing efficiency and reducing waste.
4) Quality Control: AI-powered systems to inspect materials, identify defects, and ensure compliance with building codes and standards.
5) Autonomous Equipment: Integrating AI into construction machinery for autonomous operation, improving efficiency and safety on site.
6) Supply Chain Management: Using AI to optimize supply chain logistics, predicting material needs, and streamlining procurement processes.
7) Smart Project Management: Leveraging AI-driven platforms for better project management, collaboration, and decision-making driven by data insights.
This is great Rami. Thanks for sharing. Saving Changes...
Hi Claudia, thank you. As a mater of fact, I did a post last week on my LinkedIn as to how we can utilize AI in the construction industry because AI can add lots of value if properly utilized on Construction Projects. Some of those benefits include:
1) Predictive Analytics: Using AI algorithms to forecast timelines, material requirements, and potential risks, optimizing planning and scheduling.
2) Computer Vision and Drones: AI-powered drones equipped with cameras to monitor construction sites, track progress, and identify safety hazards.
3) Generative Design: Create and optimize designs based on project requirements, site conditions, and material constraints, enhancing efficiency and reducing waste.
4) Quality Control: AI-powered systems to inspect materials, identify defects, and ensure compliance with building codes and standards.
5) Autonomous Equipment: Integrating AI into construction machinery for autonomous operation, improving efficiency and safety on site.
6) Supply Chain Management: Using AI to optimize supply chain logistics, predicting material needs, and streamlining procurement processes.
7) Smart Project Management: Leveraging AI-driven platforms for better project management, collaboration, and decision-making driven by data insights.
This is great Rami. Thanks for sharing. Saving Changes...
The whole AI infrastructure is very expensive and complex to deploy. Garbage in / Garbage out is an oft heard statement. So, adequate effort needs to be made in cleaning up the data . I see this as a huge issue in many places. Ideally we should start with a clear problem and pick the smallest model that solves our specific issue. Saving Changes...
Sean CoyleOwner | Project and Analysis Consultant| SmcoylellcGolden, Co, United States
Gen AI has quickly popularized data analysis. Yet most of the foundations are not all that new when it comes to questions I like asking when people are approaching any type of data analytics. As long as you have at least 3 of the following factors, data analysis can start adding value.
Interest in deeper insights ; pain points in search of clarity ; access to data (preferably relevant data) ; data collection capability ; processing capacity ; interested/skilled resources to pursue and refine the analysis Saving Changes...
In my organization we provide AI Solutions built specifically for the Contact Centres, including predictive routing, predictive engagement, knowledge and Co-pilot assistance, to name a few. These tools help businesses optimize operations and reduce costs. From PMs perspective, I find PM Infinity to be an invaluable AI tool for supporting daily tasks and boosting productivity. Saving Changes...
Anonymous
We are not utilizing any specific checklists or protocols within our projects to assess our readiness for working with Generative AI data. In fact, we are new to this and hope this training can give us more insight on the tools or protocols to assess our readiness. Saving Changes...
Anonymous
We are not utilizing any specific checklists or protocols within our projects to assess our readiness for working with Generative AI data. In fact, we are new to this and hope this training can give us more insight on the tools or protocols to assess our readiness. Saving Changes...
Thank you, Markus, are you implementing any of these items when integrating AI into your clients?
Hola, veo que finalmente si pudimos encontrar el listado de herramientas IA que buscábamos, Claudia me lo podrías enviar? Hablamos por privado. Saving Changes...
Hi Claudia, thank you. As a mater of fact, I did a post last week on my LinkedIn as to how we can utilize AI in the construction industry because AI can add lots of value if properly utilized on Construction Projects. Some of those benefits include:
1) Predictive Analytics: Using AI algorithms to forecast timelines, material requirements, and potential risks, optimizing planning and scheduling.
2) Computer Vision and Drones: AI-powered drones equipped with cameras to monitor construction sites, track progress, and identify safety hazards.
3) Generative Design: Create and optimize designs based on project requirements, site conditions, and material constraints, enhancing efficiency and reducing waste.
4) Quality Control: AI-powered systems to inspect materials, identify defects, and ensure compliance with building codes and standards.
5) Autonomous Equipment: Integrating AI into construction machinery for autonomous operation, improving efficiency and safety on site.
6) Supply Chain Management: Using AI to optimize supply chain logistics, predicting material needs, and streamlining procurement processes.
7) Smart Project Management: Leveraging AI-driven platforms for better project management, collaboration, and decision-making driven by data insights.
Using AI to optimize supply chain logistics, predict material needs, and streamline procurement processes is a good way to free up time to focus on more complex or nuanced work. Saving Changes...
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