Sameerkumar Namdeo

SN

Location India

Achievements

Activity

  • Simple to understand content. Very useful in understanding the characteristics of Big Data, how to work with it and various pros and cons associated with Big Data. Case studies from sports, environment, business, and medical field were really interesting and gave way to think of various information that can get revealed from analysis of Big Data.

    A Big...

  • Yes, knew about GDPR but got more detailed knowledge in easy to understand points.
    Thank You.

  • Depending upon the mobile and broadband recharge information, there are huge number of prepaid and postpaid plans for the customers. These plans are helping specific customers that have unique requirements. Also,telecom operators use the data usage/consumption information to regulate the price band of internet/data charges in market.

  • Not completely. But certainly visits to doctors would drop with the advent of precise information becoming available on internet. This precise information is and would be result of Big Data Analysis.

  • Yes, the relationship can certainly be seen and validated with human's way of taking the things.

  • Data Analysis w.r.t things happening in game are interesting. For eaxmple, as mentioned in article showing the spin of ball, 3D features, past performance and predicting current performance etc.
    But when it comes to use of AI and machines in Performance Enhancement of player then the essence of sports, hardwork, smartwork, human strategy, relationship between...

  • Waste management for cleaner society and surrounding.
    I can contribute data about things happening in my surrounding which can be used to check if the activities involved will generate wastes.

  • One particular problem in Data Analysis of EcoAdapt project could be heterogeneity of data from point-of-view of availability of timely and consistent data. Since there are challenges to use the appropriate equipment at places where necessary support is scare.

  • Monitor deforestation and revegetation.
    The word "Monitoring" itself opens an opportunity to use Big Data.
    Huge areas are difficult to track and note details. -- Volume.
    Satellite images, people feedback, environment parameters are all different data. --Variety.

    Knowing the amount of deforestation happening, its important to have public co-operation...

  • Hoping to learn the dimension in which one can think inorder to make use of Big Data. Is it a predefined way or it depends upon the use case we are trying to implement?

  • I think education sector will get transformed from concrete building/campuses to online facilities like the current one where we all are learning Big Data.

  • I liked
    - the way Big Data was defined
    - how the challenges of data analytics were mentioned
    - the steps mentioned in data analysis cycle.

    I wonder
    - Is [Big Data] a bigger concept compared to [AI]?
    - Which one is facilitating the other?
    - What amount of electricity gets consumed in managing and working with Big Data?

    I would like to know more...

  • stackoverflow.com
    Technical Programming/Platform/Framework/Product Data
    Type of data: Users experience with particular technical stuff.
    Data sources: posts, likes, comments
    Data analytics example:
    - Data is used to highlight a particular issue in programming language compiler or some computing platform which concerned authorities can look and take...

  • stackoverflow.com for issue or problem resolving, learning and job search/recommendations.

  • One's thought process cannot be controlled. Same with the intentions and the interpretations.

  • Easy of facts/result comparison in infographic format makes it possible to take various decision or think of something.

  • Data Selection and Preprocessing seems to take time.
    Data Selection might even lead a requirement to generate the data in first place.
    Preprocessing is really a time consuming process due to so many issues in data format, data incompleteness/incorrectness. Most important is to represent the raw data in such a way so that the machine/algorithm can easily...

  • This comment section or message board itself can be a source of Big Data.

  • Browsing Internet

  • Simply put then, Big Data is all that is happening/exists on earth or for that matter in universe.

  • BigData = Huge Information = Great Opportunity to reveal meaningful insights.
    These insights can be in good or bad hands.
    Not Sure, BigData will turn out to be a boon or a curse.

  • Hello, am from India.
    Am interested in learning the components of new ecosystem which is making fast intrusion in every field.
    The ecosystem which is centered around Data.

  • Explainers jobs is explain why AI generated a particular output.
    Sustainers jobs is to check the output generated by AI conforms to rules and regulations.

  • Big Data is a technology divided in 2 categories:
    1. Managing the huge data, from operations point-of-view.
    Here, one does not actually make use of huge data but works towards making huge data seamlessly available for further analysis.
    2. Analyze the huge data, from revealing insights from data.
    Here, the actual data to crunched, analyzed, passed through...

  • AI entering work and personal life will leave only one thing for humans
    i.e "To Be Humans"
    Are we going back to square one? lol..
    Anyways, idea is to let human do what machines cannot i.e "Think"

  • If AI gets in appropriately then it will leave only one thing for humans
    i.e "To Be Humans."

  • Very Insightful.
    Thank You.

  • Thank you for framing the requirements of future.
    Now, its time to think of what skills with be required to "Enable AI".

  • Exactly. Jobs are never actually lost but modified to support the evolving needs.

  • Know about desired skills to really make something of AI.

  • Thinking of various use cases of AI is relatively easy. Implementing those so that AI actually delivers what is expected from a use case would be challenging. With introduction of development frameworks and standardization of AI, soon AI would become anything like day today software development. And soon we all might come up with a requirement of AI for...

  • In distributed system (DS) development, there are many non functional requirements like availability, consistency, reliability, load balancing/distribution, caching etc..
    Any DS developer might have done these things repeatedly atleast from integration point of view. If AI can manage these things then developers can focus more on doing better designing work...

  • I guess these are examples of Narrow AI. For example: Take the case of Nurse filling out forms. Using AI, basic details can be filled out appropriately in appropriate form fields. Voice Recognition and converting it into text might be data conversion job. But filling the generated text appropriately in appropriate fields require Intelligence as the Nurse would...

  • Alternatively, table also gives an appropriate direction to acquire or improve skills.
    For example: Choose a skill from column "Typical Activity" and try to work on it in day to day work and personal life. Its important we understand that there are particular skills which "gets used unconsciously" when we perform our routine work. So knowing them...

  • - AI can slowly take up tasks which I do today, so that I can work on requirements of tomorrow.
    - AI will have some weakness and limits.
    - In order to make my life simple, I would still be required for tasks such as training the machines.
    - Human limits can surpassed with the help of AI.
    - The service which I deliver to my company/customers today is...

  • He came to know that human limits can be fulfilled by robots. Now, he does not feels insecure since he now knows that machines need to be trained and monitored which would open new opportunities for experienced persons like him.

  • Now, she knows AI will be part of her job. Like computers help us in various ways, AI would do the same. Due to AI, she would get to do more meaningful tasks at her future job which will challenge her creativity which she would enjoy. She has reduced her fear by knowing that AI would be pack n parcel of her new job. AI would be all in a day's work.

  • AI has now become a personal secretary/assistant for Kelly. Now, Kelly can really explore and focus on some new things which were not possible earlier due to lack of time or I would rather say due to lack of AI in her workplace.
    Also, Kelly knows this very well that AI does have some weakness. Buts its just a matter of time. Who knows every weakness will be...

  • Trainers = Creators.
    Explainers = Auditors.
    Sustainers = Monitors.

    Looking from a different perspective then, every code written with some meaningful purpose enables computer to do a particular task. Machine cannot think. If some way to do a task is provided to a computer/machine, then we all know it can do wonders. Lets not limit ourselves by thinking...

  • AI has evolved in many industries with the evolution of better computing facilities.
    Today due to internet laced with AI, various services offered by sectors, such as banking, are available 24x7.

  • In manufacturing, most of the jobs are machine based. Repetitive and Sequential. AI can not only help in maintaining this flow of sequential tasks but also assist in optimizing them over a period of time via ML.
    Manual testing of machines for their well being is now assisted by AI.
    AI can help identify defective parts/components or products. Yet sometime it...

  • AI can help in efficient use of street lighting.

  • Often, people don't know where to consult on having any particular sort of health condition. They can maximally can speak of their pain in particular part of body. This is called, as we know, a symptom. Through NLP, AI can assist a person reveal more information w.r.t his/her health condition by asking relevant questions. This information can help when the...

  • Email Systems.
    - Identifying spam mails.
    - Email Account Security.
    - Incoming and Outgoing email load distribution and balancing.

  • 4th IR is specifically building on the inherent ingredient of digital technologies
    i.e "The Internet."

  • Would like to see AI in education sector. How AI helps a student learn a concept. How AI assists a student in knowing a subject. Whether AI can make out where student is troubled in understanding a concept? Can AI predict what a person is good at?

  • Made a good decision by taking this course. AI can be talked upon randomly. But got good insights from this course. Also the comments sections is extra bonus. It gives a chance to know how others see the concepts around AI.

    Thank You.

  • Through the test, clearly understood:
    Difference between Automation and AI.
    Difference between Machine Learning and AI.

    Thank You.

  • People who are not directly connected with vast things happening on internet would always be in such state of misconceptions. But thanks to social media and chat groups, which most of us use, these misconceptions can be cleared. Main challenge faced by people is their perspective that technology is not their cup of tea. Its true when it comes to rocket science...

  • Got info of 3 perspectives:
    1. What people think of AI? What all they have heard and understood about AI.
    2. How people are evaluating what they do in their current workplace/job. How they try to know whether AI can also do the task which they do in their jobs.
    3. Lastly, how people are concerned about finding alternatives, in case AI does turns out not to...

  • Yes. In order to build/develop intelligence learning is inherent for AI.

  • AI works on information. Information, often in terms of parameters. What is such parameters on which AI works are manipulated intentionally? What if AI is on path of learning and taking decisions to benefit particular sections? Accountability is what it needs to be inherently embedded in implementation of AI. Questions like why AI did what it did, should be...

  • Humans can do intelligent task manually with fairly appropriate amount data and upto their limits w.r.t energy level, alertness, etc.. AI can help do the same with very large amount of data consistently with same or even better results in some cases as explained in the article.

  • Automation is Intelligence required in doing predefined task probably of repetitive nature.
    AI is all about deducing, finding conclusion from given facts, information and context.

  • Google Search

  • "OK Google"

  • Lifts in building. Lifts open, close according to activity happening around it. It senses vibration or can also detect people via camera and open accordingly when someone wants to use it.

  • Any task (probably useful) done by a non living thing exhibits AI. This is how I try to understand AI. Example as simple as Washing Machine. Washing Machine wash clothes in the same manner as human. Intelligence is embedded in the circuitry to make machine perform task of rubbing the clothes via rotation. Rubbing will help remove dirt and stains. This...