How Artificial Intelligence and Machine Learning can be used for your project or work?

Course Discussions AI and ML for Managers
#7

I work for an IT company. The first instance that comes to mind to apply AI and ML is for resource allocation. As of now resource manager does this mapping w.r.t available positions in different verticals with the available resources and their skill sets. It relies a lot on the manual screening and separate resource manager assigned for individual skill sets. Once AI solution is in place, available positions and people can store their data w.r.t. the current and upcoming openings. System can do a prelim screening and can suggest a map of position with suitable profile.
In future it can also be used for predicting resource requirements for upcoming projects and hiring projects can be made appropriately.

Thanks
SM

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#8

Hi,
I am in IT for BFS, in regards to AI/ML,

  • I will like to analyse the data to determine pattern to predict the percentage of customer buying a Mutual Fund.
  • Basis of Customer’s navigation provide better campaigns
  • Applying Automated testing for online channel to ensure the released package is of best quality
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#9

Hello All,

I plan to leverage this info into clinical psychology for diagnosis of mental illnesses.
It will be supervised learning and will have training data set.

The ML project will just do what an practicing psychologist get trained initially in career during internship

regards
Sarika

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#10

In the sector in which I work (air navigation servicea), AI and ML we are working on implementing AI and ML solutions to, on the one hand, perform post-operational analysis of air traffic flows; and secondly to make traffic forecasts and organize air traffic flows more efficiently.

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#11

In the taxation industry, the Government can use AI to review the returns and search for anomalies, mistakes and frauds.
This will make it possible for the govt. authority to look through millions of returns and look for patterns where there are chances of frauds.
The rule based checking may not be able to see catch some trends where the returns appear correct from a broader look, however, if say trends of past returns is considered, then some anomalies can show up.
Initially, the system can be taught from examples which are correct, and which are not. Then system can keep learning and detect anomalies, which can further be reviewed and reinforced learning done that way.

This can help government to detect losses to the tune of Billions of rupees to the govt exchequer.

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#12

I am going to use AI & ML in my small business where I have been converting old paper based records that were pasted into foolscap sized record books. I can see from the course description that there are concepts & ideas that I could use to enhance the conversion of these old & poor quality printed records that I have scanned using a specialised iPad & special apps. I specifically am looking forward to what I can learn so that I can “create a point of difference” that competitors won’t have & can’t match on quality & price.

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#13

I’m working in health care analytics. Currently we provide sales data by using some algorithm to predict the sales for a particular region. By using AI/ML I believe we would be able to provide more accurate data which would help in better decision making

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#14

in medical retail sector
It is seen in the medicine business that there is huge competition and there is tremendous pressure on the sales person on the field to achive his sales target. for achiving the sales target he starts to dump the medicine at the stockist or retailer level. due to dumping and no secondary sales happening, there is high chances that the mdicine expires at the retailer/stockist level and the company requires to replace the expired medicine.
at one hand the sales person is appreciated for the sales done but the amount of exipired medicine goes unaccounted.
so, by using AI/ML by studying the past buying data and the expired product…we can predict the order from the retailer by looking into the buying pattern of the retailer. this will help in better the production planning and also there will be very less expiry of the medicine

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#15

Regarding the Telecom Industry:

  • Optimization of the routing of the network: Given the historical data in terms of amount of traffic per hour/day/month the ML can be used to predict customer behaviors and thus automatically optimize the routing and capacity of the network in order to reduce failures in the service
  • Resolution of trouble tickets: Given different scenarios of network problems related to customers, the ML and AI can learn to analyse the problem and take a decision on how to fix it
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#16

Hi

Recently, we were advising a maternity hospital major on efficiency improvement and business transformation.

I realized two problems in the area of Outpatient Treatment and Emergency Diagnostics

  1. Most doctors note down the patient details in a standard prescription which is handwritten
  2. During the delivery process, all updates regarding the patients conditions are also jotted down manually

The above is creating certain challenges in storing the files and using them later because the format is shabby and unreadable and deteorates as the file becomes older.

For example, information taken during the first month of the pregnancy must be available for atleast two years. Similarly information garnered during delivery is extremely useful in further pregnancies or gynaecological issues of the patient. Doctors also opine that the above two streams of information can be used for treatment and cure in pregnancy problems.

So AI can be applied in the following ways:

  1. Handwritten prescriptions can be scanned by a system and a AI model can be built to convert the handwritten prescription into a predetermined usable format (basically digitization). The software can be trained based on the handwriting of the incumbent stuff and also the medical and prescription library available to intelligently guess the handwritten words and convert them into a usable format
  1. Statistics collected using the above information can be used to model and predict key indicators such as:
  • mother’s health
    -fetus health
  • expected due date
  • complications that may come

Thank you!

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#17

Hi,

Re-imagining the online classified space
AI can be used in the online classifieds platforms (niche segment such as online directory for homebakers etc). Role of AI can make the transaction simpler, engaging and fast within the community and beyond. We want to bring customers and home bakers close to each other , so as to make the whole process of cake ordering and selection cost effective.
90% of home bakers find delivery a major challenge when they discover the customer is 10km and more away. Home bakers as a solo entrepreneur already go through different activities apart from making cakes such as marketing, handling orders , sales, vendor negotiations etc. In such situation if a home baker had to face trouble in delivery then it ads up to the pain points and further increase the total cost of cake both for customer and baker.
Hence the role of AI in this case to empower home makers list their cake brands at each pin code level so as to the classifieds platform can help them with customers around the pincode or the local level.
From the demand and customer perspective the AI enabled platform can help customers discover awesome cake and cake makers near them so as the hassles of last mile delivery is ruled out from the process. Cost is the major factor also . Home made cakes are expensive from the normal retail cakes as the exclusivity and quality is guaranteed by home bakers.

Pricing - the platform can further help home bakers fine tune the product pricing so as to they can sell better and customer also understand the value of the product which is slightly high from the retail or cakes available over the counter.

Hence the major enabler in making the platform AI enabled is to bring more customers to home bakers near to them (hyper local ) so as to bring down time to deliver and price of the cake. Further help then in better pricing of products and eventually help then better market the home based business.

thanks

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#18

Hi,

I have been working on a project to create an app for scheduling play dates. Where I see AI can add value is in creating matching algorithm that matches one with potential play dates. Based on user’s past behaviour and his digital footprint, it would be able to match better leading to higher success rate.

Maduri

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#19

Hi,

We are working on the platform for home bakers in India. AI could solve the location based targeting of customers and also customers could find home baker option nearest to them. This will reduce time to deliver and cost of delivery for both parties.

Thanks

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#20

In Telecom
To apply AI in many use cases in Network operation , as Chatbot for Field Maintenance , Network Optimization , Capacity forecast

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#21

As a Project Manager, I would like to use AI to identify the team members performance by analyzing their contributions by certain parameters including their mistakes and gaps in programming, errors, bugs etc.,
Another best use case could be analyzing the users comments and data from our different sources of media and service centers for our products that we are selling to users.

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#22

HI ,
Auditors analyse data to detect patterns which in turn help them to identify risk occurrences. A auditor starts analyzing data from a single field and then as the next step analyses with a combination of fields eg checking of duplicate vendors , in the first step the Auditor checks duplicates on vendor names , then checks duplicates on vendor name + vendor address combination and so on… But the Auditor after a few checks based on rules finds it to check with different combination of fields

ML can be used so that the machine can process data by learning and start checking fields and combination of fields to detect duplicates or patterns which could lead to identification of risk occurrences. In this case AL can source data from the public domain eg vendor geo coordinates from google maps to add data for analysis.

Srikanth

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#23

We have traditional estimation system for distinguish the project as simple,medium and complex based on certain features. This can be done by using classification algorithm where we have an advantage of considering more features.
In a typical migration projects, the most commonly considering features are
source system, Target system,No of lines of code or data,Language used,Size of the application/data.
1.Our history of records gives,100 previous projects which have been classified as Simple,Medium or Complex and their respective data.
2.Train the system with the above data.
3.Provide data for new project and get the result as is it simple,medium or complex
there by apply effort and time&budget

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#24

I have worked on several learning platforms for kids. Particularly teaching kids how to read in very intuitive way.
I think Ai can be used to study how to read, noting the different accents and pronounciation . And the be hooked up to mic and speaker so that when a child is reading and cannot pronounce the words, the ai will interject to help the child try again and pronounce the words better.

  • The Ai can help the child break down the parts of the words so the child can attempt pronoucing the sounds and then merging the sounds to gather to get the right pronounciation.
  • When the child id reading and the diction is not making sense or the reading sound in disjointed, the Ai will correct that like real teacher and ask the child to repeat the sentence in more meaning ful way , by giving examples
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#25

I am initiating my career in BFSI sector. I believe that AI and ML can be put to use in my line of work in a number of ways. Some of these could be as described in succeeding paragraphs.

AI could be used for identification of data points/ patterns drawn from analysis of trade data available in the stock exchange(NSE/BSE) thereby forecasting markets with greater accuracy resulting in mitigating the risk and providing higher returns in trade.

AI and ML can carry out analysis of large volumes of personalised customer data and transnational history to instantly identify customer behaviour patterns that are out of the ordinary. This helps in establishing massive repository of data which can provide the possibility of early detection of any abnormal behaviour that may lead to cases of financial fraud or theft.

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#26

Hi,

I am in General Insurance Consulting and with the emergence of AI the General Insurance Industry is fast moving towards adopting new age Technologies and AI to grow the Businesses and also reduce Risks.

AI is predominantly getting used in Identifying Risk Exposures with Usage of Telematics in Vehicle Insurances .
Also AI is being thought of being used in Insurance Claims by usage of Drones for capturing images of Losses and Verifying the loss thereby having quicker claims resolution and great Customer Experience.

These are helping in Top Line as well as Bottom Line Growths and helping the Industry on a whole.

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