Friday, February 15, 2019
Business Intelligence and Analytics 5
1 Why It’s So Hard to Fight Instinct vs. Data in BI Decision-Making
https://www.smartdatacollective.com/how-big-data-changes-business-intelligence-decision-making/
In the days before robust business intelligence (BI) platforms existed, professionals usually had to rely on experience and gut instinct when making decisions.
Now, data analysis tools can give solid conclusions gleaned from months or years of compiled information. Even so, the people who dig through data still have difficulty trusting what the data says and quieting their gut instincts.
2 Top 10 Data Science Use Cases in Telecom
https://www.kdnuggets.com/2019/02/top-10-data-science-use-cases-telecom.html
In the course of time, data science has proved its high value and efficiency. Data scientists find more and more new ways to implement big data solutions in daily life. Nowadays data is a fuel needed for a successful company.
(Fraud detection, Predictive analytics, Customer segmentation, Customer churn prevention, Lifetime value prediction. Network management and optimization, Product development, Recommendation engines, Customer sentiment analysis, Real-time analytics)
3 Data science is a growing field. Here’s how to train people to do it
http://theconversation.com/data-science-is-a-growing-field-heres-how-to-train-people-to-do-it-110449
The world is inundated with data. There’s a virtual tsunami of data moving around the globe, renewing itself daily. Take just the global financial markets. They generate vast amounts of data share prices, commodity prices, indices, option and futures prices, to name just a few.
4 How To Drive More Engagement On All Your Digital Assets
https://socialmediaweek.org/blog/2019/02/how-to-drive-more-engagement-on-all-your-digital-assets/
Let’s talk about how to drive more engagement for a minute. These days, consumers have plenty of choices available to them in terms of products and services. So, you differentiate your brand by becoming the one that has the most valuable connections (or the best relationship) with the consumer.
5 Deep Learning 101 for Dummies like Me –
https://towardsdatascience.com/deep-learning-101-for-dummies-like-me-a53e3caf31b1
Currently, Artificial Intelligence is advancing at a great pace and deep learning is one of the biggest contributors to that. So, in the 2nd post of the 101 for Dummies like Me series, I’ll take you through the basics of deep learning. You can find the 1st post here where we talked about the basics of PyTorch, which was inspired by Intro to Deep Learning with PyTorch from Udacity. Some of the images in this post are taken from Udacity Deep Learning Nanodegree which is a great starting point for beginners. In the last years, applications of Deep Learning made huge advancements in many domains arousing astonishment in people that didn’t expect the technology and world to change so fast. Refer below image for a uber level comparison between AI vs. ML vs. DL
6 Top Trends for Data Science in 2019
https://www.datasciencecentral.com/profiles/blogs/top-trends-for-data-science-in-2019-1
Ok. So there’s been a lot of coverage by various websites, data science gurus, and AI experts about what 2019 holds in store for us. Everywhere you look, we have new fads and concepts for the new year. This article is going to be rather different. We are going to highlight the dark horses – the trends that no one has thought about but will completely disrupt the working IT environment (for both good and bad – depends upon which side of the disruption you are on), in a significant manner. So, in order to give you a taste of what’s coming up, let’s go through the top four (plus 1 (bonus) = five) top trends of 2019 for data science:
(AutoML, Interoperability (ONNX), Cyber Data Science Crime, Cloud AI-as-a-Service, (Bonus) Quantum Computation & Data Science.)
7 Here’s How Big Data Analytics Has Changed the eCommerce Industry
https://www.smartdatacollective.com/how-big-data-analytics-has-changed-ecommerce-industry/
Data is everywhere. We gather and share countless data every moment, in fact, even our actions are generating data right now. Things that we used to see in sci-fi movies have now become real. With us being surrounded by so much data, managing them has become very challenging, but then big data is here!
8 4 Ways To Take Big Data And SEO To The Next Level
https://www.smartdatacollective.com/4-ways-to-take-big-data-and-seo-to-next-level/
With planning and the right moves, business leaders can improve their operations and take big data and search engine optimization (SEO) initiatives to the next level. The two technologies have changed a lot in the last two years. Relatively recent innovations have created new ways for enterprises to find, understand and engage with their audiences with the help of big data and SEO. As new marketing channels like social media gain traction, a wealth of data is available to help marketers understand consumers in new and exciting ways.
