Within the field of project management below are few points:
Hi,
In my organization we are monitoring various sources to get access to RFPs. It is difficult to manually read every RFP to identify if it is suitable for us and also to qualify for a response. It is to overcome this challenge we are exploring AI/NLP solution to read through every RFP and make recommendations.
Thanks
Venkatesh V C
Hi,
I am going to apply ML/AI in my project where we need to automate voice assistant module for our automotive product. As an automative product, it requires lot of permutation and combination for testing the voice assistant module, having ML/AL in place will give us great help to achieve best quality for our product.
Thanks
Amrish
I am a Quality Engineering Manager. I would like AI / ML to enhance and speed up test scenario design. If I can input certain keyword to the ML model such as CRUD User, CRUD Company, etc…, the model should be able to write test scenarios in simple language (NLP). If the model can cover even the CRUD scenarios, we can easily save at least 20-30% time, spent on writing manual tests.
I lead the growth vertical from product perspective for my organisation. User acquisition is the prime KRA and acquiring users through search engines using paid marketing form a considerable part of the acquisition strategy. AI / ML can be used to optimise spends and enhance performance(impressions, CPA) by automating the bidding process instead of manual one.
I use AI to recognise CV’s and translated the parsed data into my standard format. The difficulties are indeed the data cleaning step and data preprocessing, which have to be done manually. Thanks to the high classification accuracy of the AI algorithm, this solution definitely speed up my work process.
Hi,
At the moment no plan to use at work but in regards to project, I would like to use AI/ML for cyber security. I participated in a workshop with CyberArk.I am working in the Renewable Energy domain.
AI/ML can be used to analyze wind patterns and predict the turbine feasibility.
ML can be used to generate high resolution wind maps by using historic wind data and satellite terrain data.
Hi,
We can track progress, activities and attendence of students because of the covid-19 pandemic many teachers are facing difficulties on monitoring the students via online classes.
Thanks
Hi,
I am currently managing a product for the FinTech research company which tracks the banking technology deals that happen between FinTech supplier and the banks. AI and Ml can help us to identify these technology deals by analyzing the data from various sources in efficient ways. And even we can check the accuracy of the information being captured. Now after this course I realize we can track the transaction as well.
Hi,
I am a Business analyst with financial firm.
I am learning AI & ML to improve the processes on the basis of Data collected.
In my mind, this will help strategize the portfolios for and help advisors/ investors to invest in much better way depending upon main market indicators.
Thanks.
Hi
I am working as a business analyst in software organization and I am learning AI to improve my skills it will help to step into next career level. AI can dramatically help businesses increase customer retention and prevent churn and also quality assurance this solution can speed up.
HI,
Thanks for the introductory video, the most complex subject was explained in simple terms! Much appreciated. Our use case:
We setup and configured a big data platform, as a federation of siloed Data warehouses, ticket system(s) transactional data and real time data capture of SLA based ticketing system. Our use cases are:
Developed an ML Model to predict the outage of services (Data center services), based on the historic data (failures on when and why it happened). By training the ML model, we were able to predict upto 40% of failures (yes there were few false positives due to stale data issues), and this helped us to reserve the team in case of failures
Using a Federation of Data warehouse data(Sales, Marketing, Finance and others): Team is in the process to develop a model to predict the revenue for next quarter. Our goal is to provide a prediction model for Marketing and Sales executives, so they can align and plan the work accordingly.
Please let me know if you need any additional information, happy to share.
Sri
Hi,
Currently working on data gathering.
Regarding project, I will like to use AI/ML to analyze the data and determine certain pattern or behavior to predict the future of buyers for an ecommerce store we’re about to launch.
Thanks
Abel
Hi,
Being a Researcher and IT professional,
AI supports in making a simulation of test cases for certain scenarios in my research dealing with huge data. Also helps in processing huge data for update and maintenance.
Regards,
Simi
I’m working in an EPCM (Engineering, Procurement & Construction management) design consultancy that designs various refineries and heavy chemical industrial plants or units.
As I understand, the following 3 are few possible AI/ML applications that EPCM design consultants should try and encourage adoption :
A recommendation engine that recommends shortest path for cables/ pipes to a 3D modeller
3D model is an integral part of engineering design of a plant that involves a lot of heavy equipment and civil structures with various pipes and cables connecting each other. Completely automating model design might not be desirable but the job of a 3D modeller can be made simpler if a recommendation engine can give options of preferable shortest paths for connecting pipes or cables between any two equipment based on obstacle detection and following safe practices.
Digitizing old hand drawn 2D drawings, layouts and diagrams shared by client of old plants for expansion projects
Using image classifier models on several old drawings, diagrams and layouts that might include hand markups shared by client of old plants can give digital information that can be replicated or re used while design of expansion projects. This could improve efficiency and reduce time taken for manual efforts.
Efficient disaster / fire management
Similar to how ecommerce companies manage their inventory using modern supply chain management techniques like tracking packages using GPS, workers in a large facility with RFID tags can be tracked by an AI/ML framework that can assist during emergency response by providing live instructions to workers on field during emergencies like guiding them to nearest assembly points. The model can also provide real time monitoring of the entire facility with enhanced statistics to aid disaster relief or rescue teams with actionable insights.
Application no. 2 above regarding digitizing of old project documents to derive usable digital information is already successfully undertaken in my organization which helps in engineers skim through hundreds of documents in minutes to be able to search for specific types of symbols or equipment used and the metadata associated with those from scanned or hand drawn documents shared by client.
Hi,
I am in Clinical Trials area where-in the drug gets tested for safety and efficacy through various phases of Clinical Trials before coming to the market. Normally for drug to come to market, it takes many years and complex research and testing. Due to the amount of time it takes, there are possibilities where-in we need to make changes to the existing protocol in the middle of the study. Adaptive design is a rapidly evolving field where-in we can predict if the drug can be effective by using ML algorithms and predictive analysis. This is a case study where-in there is an extensive use of AI and ML to predict the success of the drug and adaptively changing the doses, size of population, protocol etc… which helps us save the time to produce the drug.
My company’s main focus is AI, leveraging Natural Language Processing, Text-to-Speech, and Computer Vision to generate AI chatbots.
I am a project manager and currenty do not use AI for project management, but would like to track the data model training and use this to potentially improve planning estimations for each sprint, as well as forecast and estimation of the product backlog to assist with building product timelines.
Artificial Intelligence can be used in increasing the efficiency correctness portability of various day to day projects
I want to use AI/ML to solve Insurance industry use cases, specially in underwriting and claims processes.
These are most time consuming, complex and costly tasks in Insurance life cycle.
Input to these process are customer calls (voice) and/or handwritten documents (structured, semi structured and structured).
These documents can be anything and in any format - medicine invoice, discharge summary, police report, doctor prescription, witness statement, death certificate, survey reports, accident images, just to name a few
So if we are able to identify key fields from these different inputs, then we can look at automating rest of steps in process