Significance of Predictive Data Analytics in Banking
Banking industries are rich with data. Used or unused, there is an excess amount of data in these sectors. Most banks are under pressure to stay profitable and simultaneously understand the needs, wants and preferences of the customers. Lately, many financial institutions have adopted new models that help them to compete. Banks need to go beyond their standard business reporting and sales forecasting to be able to identify a set of crucial factors relating to success.
Please share your valuable suggestions........
Getting Your Personal Big Data From Facebook
This is a quick guide on how to download a copy of the personal data that Facebook holds on you. It will make interesting reading, enjoy…
Thank you for your valueable appreciation.
Freelance Data Scientist
Freelancing is in every field of journalism to technology. Though freelancing in the technology field is at an early stage, soon it will boom the market. To begin with, what is freelancing and how it is relevant to Data Scientist job? In simple terms, a freelancer is a person who can contribute to a company without being a part of it.
I have written this article to bring the focus on freelancing in Data Science as well as the importance of Data Science Foundation for it's facilitation for the Data Scientists......Request you all to share your valueable suggestions for this article....
The IoT Smart Cities and Connectives
In continuation of my earlier whitepaper The IoT and Smart Cities, here i am presenting the available connection options for the IoT and Smart Cities. Network connectivity may either make or break a smart city solution, i.e., a very wise and intelligent choice has to be made in order to come up with a long-lasting sustainable solution.
Please share your valueable suggestions.....
Insights of Big Data and Artificial Intelligence
The Big Data vs. AI compare and contrast it, in fact, a comparison of two very closely related data technologies. Is Big Data vs. artificial intelligence even a fair comparison? To some degree it is, but first let's cut through the confusion.
Request you all to please share your valuable suggestions, if there is any.Regards,Ajit Singh
Text Mining and Challenges
A potentially useful intellectual tool for researchers is the ability to make connections between seemingly unrelated facts, and as a consequence create inspired new ideas, approaches or hypotheses for their current work. This can be achieved through a process known as text mining (or data mining if it focuses on non-bibliographic datasets).
Request you all to please provide your valuable suggestions......Regards,Ajit Singh
The Lifestyle of a Data Scientist
Intuitively, it seems that, with the advantage and insight that Data Science provides, Data Scientists should have been around for much longer, helping us make decisions? This question can be answered in one word. Data. Data is the bread and butter of a Data Scientist. A Data Scientist sleeps, breathes and eats data. Let's have a look at the lifestyle of a data scientist
A fun article on what the people who eat and breath data get up to on a day to day basis. Thanks for sharing
Advances in Data Science 2019: Programme Now Available!
The programme for Advances in Data Science 2019 is now available. This year's meeting is themed around four topics: Health & Wellbeing, AI & Robotics, NLP & Text Mining and Security & Privacy. Invited speakers include leading data scientists from industry and academia.
Data Engineer's Key Skill
Data Engineers are the data professionals who prepare the “big data” infrastructure to be analyzed by Data Scientists. They are software engineers who design, build, integrate data from various resources, and manage big data. They must have the certain key skills.
Please share your valuable feedback.
Big Data Science : The Future of Analytics
A look at modern big data science systems and how you can use EXASOL's in-memory database for Data Science.