Hi i am experienced digital marketing analyst with more than 6+ years, need to swap to data science domain, requesting you to give some insights on it.

digital marketing analytics is a part of data science domain only , please be specific about your role as data scientist .

Dear Scientist,I'm an enthuastic future seeker today I'm trying to gather some outside opinion on a project I'm fond of.It's a data marketplace, which will need curators, data cleaners, validators and of course sellers. The underlying idea is to allow AI modell to train on data without the data ever leaving the owner's property. So imagine training and validating a modell to indetify cancer cells from thousands of patients files without ever accessing the data. Or car manufacturares earning revenue by sharing their data with competitors and in the process never leaking any sensitive information. The team has extensive experience in handling Data their company is BigchainDB which launched Ocean Protocol to be a community based project. The founder Trent Mcconaghy has several patents and successfully built 2 other businesses before this. I would like to know what you guys think about this as I think trading data is going to be needed in the future. Are there any other initiative out there? Would you partake in a system like Ocean Protocol? They have dozens of developers and very active both on TG and Gitter. I'm not technically capable to answer questions but the team and the devs are. They are also running a challenge for developers to brainstorm and develop ideas and build marketplaces. The best ones will get rewarded dearly.The tech whitepaper would be a great place to start and also an article about the nature of the project.: https://blog.oceanprotocol.com/ocean-is-decentralized-orchestration-766b7538d08As far as token utility goes, I've always liked this article which explains the various ways in which it can be used (under the section Benefits): https://blog.oceanprotocol.com/how-ocean-can-benefit-data-scientists-7e502e5f1a5f

Blockchain innovation has increased extensive consideration, with a raising enthusiasm for a plenty of various applications, going from information the board, money related administrations, digital security, IoT, and nourishment science to human services industry and mind examine. Tele-medicine and e-wellness program are two profoundly utilized spaces, where clinical information is moved remotely to an authority (at an inaccessible area) for a specialist conclusion.In all such clinical game plans, the security and protection of the clinical information are some of significant difficulties to happen, because of the case-delicate nature of patient information. Blockchain may be solution for such problem linked to security and protection.

Do you think ,Tele-medicine and e-wellness , or any such program can increase penetration of healthcare in developing countries? As a big portion of population are illiterate for such advance technology.

How computer vision can have impact of Healthcare Analytics driven treatment paradigm? This can open a new horizon in the critical treatment proceedings as through Data Analytics on the data obtained through computer vision of MRI, CT SCAN ,X-RAY can give immense success in treatment decision making by authorities concerned. Lot of scope still remain unexplained and multidimensional horizon is yet to be explored for better prognosis.

How can the privacy be maintained during the research?

OEMs spend too much conducting user trials of their products. AI in human factor research can help in reduce the spend. A ML model for different personas can to be created by learning from questionnaire. The design imperatives and the HMI attributes based on Norman's Visceral, Behavioral and Reflective aspects can be quantified. The model will rate the product based on the HMI attributes.

The herding anaimals tend to move in a one particular direction. There are sheepdogs who are in charge of herding the sheeps. The dogs analyze the state of a given herd and determine the best action to keep the sheep together while herding. These sheepdog think algorithmically. Social media discussion could be considered as herding sheep. Each of the smaller groups have a direction, right, left, centre etc. The dog algorithm could be employed to influence the group behavior. Machine Learning could be used to identify the groups and its direction and analyse the influence of sheepdog algorithm.

Recently I approached my Wellness center, where I have have been doing my annual health checkup, for my historical ECG data of last 10 years. To my disappointment no ECG data was stored. The data could have helped me to understand the aging and heart related anomalies. A ML model could be created for the healthy heart and detect any deviation from the normal. This is true for not just heart, we could created a ML model for any bunch of vital parameters and detect anomalies which could accelerate medical diagnosis. Data is pure gold.

I agree on that. Who could store these? It's a risk of loosing privacy. And it could be used to develop better diagnostic I like this idea very much!I've currently came accross Ocean Protocol which is set out to make a marketplace for data. I think it could be interesting for you. I posted about it on this forum.

Data based science and its culminations in AI and the more extensive field of machine learning can possibly drive significant changes in medication. Notwithstanding, drug isn't a science like some other: It is profoundly and firmly bound with an enormous and wide system of lawful, moral, administrative, efficient, and cultural conditions. As an outcome, the logical and mechanical advances in taking care of data and its further preparing and cross-connecting for choice help and prescient frameworks must be joined by parallel changes in the worldwide condition, with various partners, including resident and society. What can be seen at the primary look as a hindrance and an instrument hindering the movement of information science must, be that as it may, be thought about a significant resource. Just worldwide selection can change the capability of huge information and computerized reasoning into an viable leaps forward in dealing with health issues and medicines . This requires science and society, researchers and residents, to advance together.

Kindly suggest some paper or book for detailed reading

Decision making in the information to choices world analyzes the important instruments, steps and techniques for getting understanding from information and following up on it. These devices are valuable making educated individuals and procedures, yet the continuation and finish to choices and activities requests a hearty arrangement of execution observing and the executives rehearses. Those are the table stakes. By and large, utilization of choice robotization, semantic innovation and collective instruments are likewise required. Information to choices is tied in with moving from understanding to activity and moving to actuality based choices making at all degrees of the association.

Education industry is a division that is similarly as significant as social insurance and account, and there are loads of regions inside this area that could be improved utilizing innovation. The market for education-tech is developing rapidly, and is assessed to reach $93.76 billion internationally by 2020. As of now, apparatuses like computer generated experience and customized learning with man-made consciousness are improving learning results for understudies at all levels. By looking to different ventures that right now use blockchain innovation, we can begin to make forecasts about how these systems could be utilized in an instructive setting. While the quantity of potential uses in instruction is huge, there are a not many that are the most energizing. Another blockchain stage that is rising in this space is chatbot application to assist understudies with test arrangement. It answers questions and prescribes assets while monitoring understudy progress in the blockchain.