Friday, January 31, 2020
Business Intelligence and Analytics 49
1 Four Skills Tomorrow’s Innovation Workforce Will Need
https://sloanreview.mit.edu/article/four-skills-tomorrows-innovation-workforce-will-need/
This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management. Throughout history, new technologies have demanded step shifts in the skills that companies need. Like the First Industrial Revolution’s steam-powered factories, the Second Industrial Revolution’s mass-production tools and techniques, and the Third Industrial Revolution’s internet-based technologies, the Fourth Industrial Revolution — currently being driven by the convergence of new digital, biological, and physical technologies — is changing the nature of work as we know it.
2 Five Major AI And ML Trends For 2020
https://medium.com/@gopalk99913/five-major-ai-and-ml-trends-for-2020-3a2ac540a699
Artificial intelligence (AI) and Machine Learning (ML) are trendy expressions that almost everybody has heard nowadays. However, even individuals who aren’t acquainted with them experience these technologies consistently. Research shows that 77% of the devices that we now use have AI incorporated with them.
3 Digital Innovation is Everywhere
https://www.informationweek.com/strategic-cio/executive-insights-and-innovation/digital-innovation-is-everywhere/a/d-id/1336843
Here are 6 digital innovation technologies and how they could be deployed in various markets. It’s not just about the customers. Businesses are increasingly betting on digitization to win in the marketplace. A Gartner survey found that 67% of business leaders believed they would no longer be competitive if they weren’t significantly more digital by 2020.
4 Is R becoming Irrelevant compared to Python in Data Science
https://decisionstats.com/2020/01/30/is-r-becoming-irrelevant-compared-to-python-in-data-science/
The language R which once claimed to bury SAS language in data science is increasingly losing share of market and share of mind in data science.
5 5 Excellent Big Data Tools for Fostering a Digital Workplace
https://www.smartdatacollective.com/5-excellent-big-data-tools-for-fostering-a-digital-workplace/
The future of business relies heavily on big data advancements. One of the biggest strides that the technology sector has made for corporations involves the creation of the digital workplace with AI, machine learning and other big data tools.
6 Data Science Success – 3 Tips to Consider
https://101.datascience.community/2020/01/29/data-science-success-3-tips-to-consider/
Previously, we looked at some Challenges of Data Science Projects. They can be difficult, and they do not alway succeed. Below are 3 techniques to help your next project become a data science success
7 Getting practical about the future of work
https://www.mckinsey.com/business-functions/organization/our-insights/getting-practical-about-the-future-of-work
What story will people tell about your organization over the next ten years? Will they celebrate an enthusiastic innovator that thrived by adapting workforce skills and ways of working to the demands of the new economy? Or will they blame poor financial or operational results, unhappy employees, and community disruption on a short-sighted or delayed talent strategy?
8 Going international with SEO: How to make your WordPress site globally friendly
https://www.searchenginewatch.com/2020/01/30/going-international-with-seo-how-to-make-your-wordpress-site-globally-friendly/
International expansion is an expected ambition for progressive websites. The online nature of this global reach means that the uncertainties, legal dangers, and cultural hazards are minimized. The world is at your fingertips, and the costs in reaching it successfully are minimal.
9 Amazon Gets Into the AutoML Race with AutoGluon: Some AutoML Architectures
https://www.kdnuggets.com/2020/01/amazon-automl-autogluon-architectures-know-about.html
A few days ago, Amazon announced the release of AutoGloun, a new toolkit that simplifies the creation of deep learning models with just a few lines of code. The release marks Amazon’s entrance in the ultra-competitive Automated machine learning(AutoML) space which is becoming one of the hottest trends for enterprise machine learning platforms.
10 Amazon vs Google: The Battle for Product Search
https://blog.searchmetrics.com/us/amazon-google-product-search/
In this analysis, we take a detailed look at how Amazon uses a combination of organic and paid listings to vie for shoppers’ clicks, which strategies Google follows in the battle for product search, and how Amazon continues to fight back.
11 Data Cleaning Steps for Small Businesses
https://www.business2community.com/small-business/data-cleaning-steps-for-small-businesses-02279331
While small businesses make a huge impact when put together, individually they’re often operating on small budgets. Which means small business owners need to be aware of every penny.
12 How to Keep Your Website Updated
https://www.business2community.com/web-design/how-to-keep-your-website-updated-02279048
You put in a lot of hard work and effort into building your website and you finally got it published. Then you spent time tweaking and adjusting it and now it’s working like a fine Swiss watch.
13 The Foundations of Becoming a Data-Driven Organization: An Expert Q&A
https://www.business2community.com/expert-interviews/the-foundations-of-becoming-a-data-driven-organization-an-expert-qa-02270978
Data is becoming a must-have for many companies today. According to IDC, the Big Data and business analytics industry reached $189 billion in 2019, and could reach an estimated $274 billion by 2022.
14 The Complete Guide on Customer Demand Forecasting in Retail
https://spd.group/machine-learning/demand-forecasting/
Demand is the key indicator for every business to consider before taking the first step or expanding in the chosen market segment. It drives economic growth while central banks and governments boost demand to end down-sliding. Demand Prediction, which is part of Predictive Analytics, implies an evaluation of the number of goods and services that consumers will probably buy in the future. The most critical business factors such as turnover, profit margins, cash flow, capital expenditure, risk assessment, mitigation plans, capacity planning, etc. are directly dependent on demand.
15 The 12 most valuable business intelligence certifications
http://www.techcentral.ie/HUnzC
Certifications are not required to work in BI, but they may help you get an edge by proving to employers that you have the right skillset. Below is our guide to some of the most sought-after BI certifications.
