Amalgamation of AI with Augmented Reality is the growing trend in eCommerce industry.
Conceptualization of 3D digital objects along side with physical ones can get constructed to
provide better visual experiences to the customer.
Smaller, faster, and more accurate AI models will be the engines of AR functionality,
given their ability to track and understand the 3D world. They’ll also continue to enhance AR
experiences, adding effects and interactivity to AR objects.
This can be used in various use cases such as -
1- Personalized search through audio recognition or text translation
2- Object detection
3- Better 3D experiences to better help conversion
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I work in a fintech and we have eCommerce division. I believe all the uses cases covered in eCommerce and Fintech in the chapter can be utilised for better forecasting of sales revenue generation, suggesting product features and offerings based on the buying and behaviour patterns of the customer. Lost of use cases can be worked upon in Security division where AI can be applied.
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Machine Learning At Simulation - Case Study
We have a process now running from years, geometry model, applying mesh, load/bc and job set up run through a solver to get your - stress, deformation results. Require through knowledge of cae applications and minimum knowledge of FEM and simulation concepts. Well. we have resources to do and invest in people but these people capable of doing many things rather sitting idle in-front of computer system while running long time job and repetitive process until we get best and accurate results.
System and Process need change in it’s life style, this is possible with the machine learning methods implementation on the model. Model to be trained to do the job and give us the better results. When it comes to CAD model designed from any cad system and bring into CAE system, solve the model and get the results. This results may not be the best or as you wanted to be, now leave the job to machine, let train this simulation model to machine learning model.
The machine learning model controls the input parameter such as material, meshing etc, apply them from different perspective and bless you with an accurate results. The user will be given with the options of results, choose the - accurate one.
Once the machine learning model is ready, make it as a template so in future you may not go through the process and deeper knowledge to understand the model, it is templates makes your life easier to understand and run them as and when required.
CAE is an important software package in the world of technologies. Tell me where you do not find or not require the simulation, Automobile, Aerospace, Shipping industry, Medical, Manufacturing etc everywhere you need Computer Aided Engineering Software to make your predictions looks closer to actual results.
No one want to invest in prototyping the real model and test in real scenario! waist of money and resources! Future is to ease the things and CAE is not far away. Wait and Watch it for couple more years to change you see in process and completely automated CAE software.
No wonder if CAD/CAE predicts the life of a human!
Best Regards,
Vijay Kulkarni
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Hi Team,
i am new to AI & ML but i wanted to learn and understand
- How Artificial intelligence techniques can be used to learn how to remove noise or unwanted data and to enable security experts to understand the cyber environment in order to detect abnormal activity"
2)How AI can also benefit cybersecurity with automated techniques to generate whenever cyber threats are detected.
Thanks & Regards
Chinmayee
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Hi,
My name is Amar and I work for Fintech Software development company and here we are using AI in compliance to detect any fraudulent transaction while transfering money from one company to another.
Regards,
Amar
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I am a student pursuing MBA. I interned as a product manager in a startup which focus on data analysis and applications of Drone and satellite imagery data. In my view AI and ML can be used in this vertical in many ways like:
Navigation
Train the drones for autonomous flights
Track objects with precision
Mapping areas
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Hi,
In current days effective lending has become a challenging task. There are people who are new to credit and how do you lend them? So at my work we are trying to solve this problem by providing and alternate credit scoring mechanism leveraging social and economical public data that is available out there. For example Night light, census data , industry and population data etc. Using this data we want to find out Affluence and economic dynamicity of the applicant for loans and provide an alternative credit score for people who don’t have a credit history. Also use this score to super impose with credit score of people who have it and provide better results.
Madhusudhan Mahale
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I am associated with Auto Industry handling customer experience.
AI can play a big role in planning for right inventory of spare parts to be available as required based upon the earlier usage pattern.
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I work in sphere of travel and fleet safety on road. There are rules to makes driving safer. Now each driving condition is different, human intervention is needed to make sure that the rules and the safety index was maintianed. However, not all scenarioncan be rules based. A machine can process 1million and millions of video where rules were maintianed but safetly was still low and come up with new marking process to make driving safer
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I am a Tech Sales professional and quite interested in using AI for Sales Prospecting and profiling potential leads through their interest. We have some form of AI already in use through a SAP program called M4C but I am keen to implement AI methodology which would be useful outside of my normal work. I have some ideas around some of the sports I play. Also something that could suggest some exercises based on your duration of inactivity, monitoring health and suggesting remedies etc…
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Hi
I am a passionate SEO Specialist striving to bring business websites on Google top SERP results for various user search term related to business services or products. Having the knowledge about Rank Brain Algorithm that makes the machines itself intelligent using AI, that is, the device used by the target audience - are made intelligent enough to give the exact SERP results that the target audience expects, and recently the BERT algorithm that makes use of NLP giving enriched SERP results - enticed me to learn more deep into AI, ML and Deep Learning.
This will help me understand how Google Algorithm works in giving the exact SERP results that will hook the user to use Google Search Engine for all their queries.
Hope to learn deep into Deep Learning and ML with AI.
Thanks and Regards
Usha Ramkumar
SEO Specialist
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Hi,
This is for one of the project in Manufacturing where there was n number of sequences of how cranes have to be moved with each sequence has some reward. Using RL, Reward was maximized to get the sequence which gives the optimum results.
Regards
Sparsh
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Within the field of project management below are few points:
- Automate repetitive, tedious tasks so you can spend more time on problem-solving
- Use historical data to perform calculations and predictions, improving the accuracy of the results
- Perform risk modeling and analysis based on changes to scope, available resources, reduced budget, etc.
- Increase speed of decision-making with process-based rules
- Optimise resource scheduling and allocation
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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
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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
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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.
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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.
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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.
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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.
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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.
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