How Data Science, Machine Learning, Blockchain, Big Data and Artificial Intelligence Is Changing the World We Live?

Recently Google has said it will predict the death of a person by using Artificial Intelligence so you can see how the technology is changing around us. The resources of a data team are typically very constrained, and the demand in data services is growing exponentially with the business, as well as quantity and complexity of data.

Also Learn the new ways to balance your data science team and how you can get more outcomes from your team.

It’s 2018, and here are some things that people are obsessed with: fizzy water, sriracha, purple everything, and… Blockchain.

How to Balance the Load on a Data Team - This post will help you to better understand a data team’s workflow and allocate their resources to business users.

https://www.kdnuggets.com/2018/07/balance-load-data-team.html

Machine learning in business? How does that work again? - Whether you're just coming for the day, or are joining us for the two-day conference too, the workshops are a great way to consolidate your knowledge and get hands-on with machine learning - all under the watchful eye of a bona fide expert or two.

https://www.theregister.co.uk/2018/07/16/machine_learning_in_business_how_does_that_work_again/

Here is what a recent whitepaper by Dataiku reveals about Artificial intelligence and machine learning emphasising on the role of data scientists- Let’s find out - Data projects become data science projects as additional data from potentially non-traditional sources (like usage data, click data, sensor data, social data, etc.) gets added to the system and combined in order to leverage a more advanced machine-learning approach.

http://dataconomy.com/2018/07/the-most-important-unanswered-questions-of-2018-in-artificial-intelligence-ai-and-machine-learning-ml/

Here’s Why The Blockchain Might Change the Future (And Why It May Not Live Up To the Hype) - The data of this ledger is stored across everybody’s computers — no central authority holds all the records. “Mining” a cryptocurrency means doing complex mathematical calculations to verify each transaction on the ledger; by doing so, the miner gets a little kickback in the form of a little bit of the cryptocurrency in question.

https://futurism.com/blockchain-future-pros-cons/

Tips To Make Your Next Data Science Project A Success - I have seen projects that have delighted even the harshest critics and have witnessed some spectacular crash-and-burn scenarios. Over the years, I have picked up some common approaches to adopt and pitfalls to avoid.

https://www.forbes.com/sites/forbestechcouncil/2018/07/13/tips-to-make-your-next-data-science-project-a-success/#47319d1d6785