Business Intelligence and Analytics 45

Friday, January 3, 2020

Business Intelligence and Analytics 45

 

 

1          Is Augmented Analytics a Threat to Business Intelligence?
https://www.analyticsinsight.net/is-augmented-analytics-a-threat-to-business-intelligence/
A term coined by Gartner, Augmented analytics is used to describe the integration of natural language generation, text mining, natural language processing, and automated data processing capabilities into Business Intelligence (BI) systems. Augment Analytics has been on the wish list of IT vendors as they are on a rush to build or buy these capabilities into their BI platforms to make it easier for enterprise customers to democratize analysis.

 

2          Predict Electricity Consumption Using Time Series Analysis
https://www.kdnuggets.com/2020/01/predict-electricity-consumption-time-series-analysis.html
Time series forecasting is a technique for the prediction of events through a sequence of time. The technique is used across many fields of study, from geology to behavior to economics. The techniques predict future events by analyzing the trends of the past, on the assumption that future trends will hold similar to historical trends.

 

3          How HR Is Using Data Science and Analytics to Close the Gender Gap
https://www.kdnuggets.com/2020/01/hr-data-science-analytics-gender-gap.html
The gender gap refers to the differences men and women experience related to what they can or want to attain in the labor market. One of the most common ways people speak about this issue is by bringing up how women often don’t earn as much as men, even when they assume similar roles.

 

4          12 Digital Marketing Trends and Innovations For 2020
https://medium.com/@jackmathew/12-digital-marketing-trends-and-innovations-for-2020-18614c78ba65
Technology has turned the world into a global village in terms of effortlessly connecting people from all different countries and cultures.

Sharing information is more accessible than it ever has before, making it much easier to generate product awareness or promote your service. And since the internet is such a powerful tool that can be used to generate ROI, investing in digital marketing cannot be ignored. According to eMarketer, “worldwide digital ad spend is predicted to reach over $375 billion by 2021.”

 

5          10+ books for the Next Economy
https://www.oreilly.com/radar/books-for-the-next-economy/
One of the most popular sections of the Next:Economy Newsletter is our periodic Deeper Reading feature, highlighting books of relevance to the ongoing transformation of the economy, the world of work, the costs of capitalism, and how business gets done. It’s nearly impossible to keep up with the recent spate of important, enlightening, and inspirational publications…

 

6          4 Impressive Ways Blockchain Could Disrupt the Banking Sector
https://datafloq.com/read/4-impressive-ways-blockchain-could-disrupt-the-ban/7357
These experts shared a variety of insights. They believe that blockchain will create an entirely new foundation for the financial industry, which will lead to a number of new services. However, the biggest changes will probably come in the form of new variations of existing services, which can be provided more securely, cost-effectively and timely.

 

7          Why Machine Learning Services Are Disrupting Every Industry Across the Globe
https://www.smartdatacollective.com/why-machine-learning-services-are-disrupting-every-industry-across-globe/

Artificial Intelligence is surrounding us everywhere. We cannot go with our day without approaching a solution involving AI. Machine learning is a field of Artificial Intelligence which specializes in setting machine using algorithms to learn certain things by itself.

 

8          7 Reasons Why ABM Fails and How to Avoid Them
https://www.business2community.com/strategy/7-reasons-why-abm-fails-and-how-to-avoid-them-02272305

With more and more companies implementing ABM and heralding their successes—everything from increased revenue and more significant deals to increased customer retention rates—it’s only natural to want to join the party. After all, according to ITSMA, 87% of B2B marketers report higher ROI using ABM strategies.

 

9          5 Things To Avoid in 2020 From Looking at Online Marketing in 2019
https://www.business2community.com/online-marketing/5-things-to-avoid-in-2020-from-looking-at-online-marketing-in-2019-02272362

The marketing press is full of stories about how we can make marketing more effective in 2020. In most cases, these articles are full of oft-repeated advice: the importance of email marketing, why SEO is important for your business, and how to store your customer data safely.

 

10        Baidu tops Microsoft and Google in teaching AI to understand human language
https://www.scmp.com/tech/big-tech/article/3043895/baidu-tops-microsoft-and-google-teaching-ai-understand-human-language

Baidu’s model, called ERNIE (Enhanced Representation through kNowledge IntEgration), recorded the highest score of 90.1 – just ahead of Microsoft and Google – on the General Language Understanding Evaluation (GLUE) benchmark and analysis platform for natural language understanding. Baidu’s model was first developed to understand Chinese language but researchers soon found it was able to understand English better too.

 

11        The Future of Work in Developing Economies
https://sloanreview.mit.edu/article/the-future-of-work-in-developing-economies/
Much has been written about the rise of automation in developed countries. Economists have been busily creating models seeking to quantify the likely impact of automation on employment.1 However, far less has been written about the potential effects on work in developing nations. This is surprising, given that automation may be especially troublesome for developing economies.

 

12        Predicting the next decade in the stock market
https://www.r-bloggers.com/predicting-the-next-decade-in-the-stock-market/
Making accurate predictions using the vast amount of data produced by the stock markets and the economy itself is difficult. In this post we will examine the performance of five different machine learning models and predict the future ten-year returns for the S&P 500 using state of the art libraries such as caret, xgboost Explainer and patchwork.

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