Friday, February 21, 2020
Business Intelligence and Analytics 52
1 The New Business of AI (and How It’s Different From Traditional Software)
https://a16z.com/2020/02/16/the-new-business-of-ai-and-how-its-different-from-traditional-software/
At a technical level, artificial intelligence seems to be the future of software. AI is showing remarkable progress on a range of difficult computer science problems, and the job of software developers – who now work with data as much as source code – is changing fundamentally in the process.
2 How Machine Learning Is Changing the World
https://www.datasciencecentral.com/profiles/blogs/how-machine-learning-is-changing-the-world
Machine learning (ML) is an application of Artificial Intelligence (AI) that provides the system with the ability to automatically learn and improve from experience rather than explicit programming. This is possible because today a large amount of data is available which lets machines to be trained rather than programmed. It is considered a major technological revolution that can analyze a massive amount of data.
3 The Death of Data Scientists – will AutoML replace them?
https://www.kdnuggets.com/2020/02/data-scientists-automl-replace.html
One cannot introduce AutoML without mentioning the machine learning project’s life cycle, which includes data cleaning, feature selection/engineering, model selection, parameter optimization, and finally, model validation. As advanced as technology has become, the traditional data science project still incorporates a lot of manual processes and remains time-consuming and repetitive.
4 5 Key Business Analytics Questions to Ask Solution Providers for 2020
https://solutionsreview.com/business-intelligence/5-key-business-analytics-questions-to-ask-solution-providers-for-2020/
Business analytics questions to ask solution providers is an annual sneak peak at the top-of-mind concepts to consider during product evaluation. For five key business analytics questions to ask yourself, consult our Buyer’s Guide for Data Analytics and BI Platforms.
5 Business leaders see U.S. unprepared for economic downturn
https://news.harvard.edu/gazette/story/2020/02/business-leaders-see-u-s-unprepared-for-economic-downturn/
New study says it reflects larger underlying problem of political gridlock and need for less-partisan election system
Those feeling bullish about the U.S. economy have lots to justify their optimism. The stock market and job creation are high, and unemployment and interest rates are low. The nation has logged more than a decade of aggregate growth since the 2008 Great Recession, with January marking 127 straight months of expansion, a historic milestone.
6 Using Analytics to Improve Your Business in 2020 -Big Data Analytics News
https://bigdataanalyticsnews.com/analytics-improve-your-business/
Analytics is an essential tool for any business. Due to the possibility of extracting beneficial information from analytics, organizations have the opportunity to increase efficiency, profits, and effectively scale up.
7 From coal to cars – what big data is China tracking to put virus-hit businesses back on track?
https://www.reuters.com/article/us-china-health-bigdata-graphic-idUSKBN20F0P9
China is tracking big data on an array of industrial barometers such as power use and traffic flows to take the pulse of general activity and target stimulus measures aimed at mitigating the impact of the coronavirus on its struggling economy.
8 The 5 Essential Digital Marketing Skills You Need (& How to Get Them!)
https://www.business2community.com/digital-marketing/the-5-essential-digital-marketing-skills-you-need-how-to-get-them-02285891
Marketing is not about pitching to customers; it’s about communicating with individuals. It’s understanding what resonates best with them and why, and delivering value on those terms. It’s not asking them to buy, it’s building trust so that when the time comes for them to make a decision, they willingly choose you.
9 The Forgotten Algorithm
https://www.kdnuggets.com/2020/02/forgotten-algorithm-monte-carlo-simulation.html
When we talk about Machine Learning, we often think of supervised and unsupervised learning. In this article, I want to discuss an often forgotten but equally powerful algorithm: Monte Carlo Simulation. I will share a general design framework and a few techniques with an interactive tool. Finally, you can also find a list of good simulation tools at the end of the article.
10 How to Develop an Imbalanced Classification Model to Detect Oil Spills
https://machinelearningmastery.com/imbalanced-classification-model-to-detect-oil-spills/
Many imbalanced classification tasks require a skillful model that predicts a crisp class label, where both classes are equally important.
An example of an imbalanced classification problem where a class label is required and both classes are equally important is the detection of oil spills or slicks in satellite images. The detection of a spill requires mobilizing an expensive response, and missing an event is equally expensive, causing damage to the environment.
11 To Disrupt or Not to Disrupt?
https://sloanreview.mit.edu/article/to-disrupt-or-not-to-disrupt/
The term disrupt has become synonymous with being an ambitious startup of any type. There’s an almost cult-like devotion to the idea that becoming a disrupter is the best path to success — witness, for example, the annual TechCrunch Disrupt conference. But most studies of disruption have focused on the disrupted — why businesses that are seemingly at the top of their game suddenly find themselves in distress.
12 Ten insights to get your digitization strategy right
https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/twenty-five-years-of-digitization-ten-insights-into-how-to-play-it-right
Countries, sectors, and CEOs face an increasingly complex world characterized by the diffusion of new digital technologies, affecting productivity performance while causing disruption. In this world, the rewards for success—and the penalties for failure—are ever greater.
13 Supervised Learning vs Unsupervised & Semi Supervised in One Picture
https://www.datasciencecentral.com/profiles/blogs/supervised-learning-vs-unsupervised-in-one-picture
Machine learning algorithms learn in three ways: unsupervised, supervised, and semi supervised. This picture illustrates the differences between the three types.
14 Supply chain transparency, explained
https://mitsloan.mit.edu/ideas-made-to-matter/supply-chain-transparency-explained
According to Alexis Bateman, research scientist and director of MIT Sustainable Supply Chains at the MIT Center for Transportation and Logistics, there are two elements to supply chain transparency:
Visibility: Accurately identifying and collecting data from all links in your supply chain.
Disclosure: Communicating that information, both internally and externally, at the level of detail required or desired.
15 Antibiotic that kills drug-resistant bacteria discovered through AI
https://www.theguardian.com/society/2020/feb/20/antibiotic-that-kills-drug-resistant-bacteria-discovered-through-ai
A powerful antibiotic that kills some of the most dangerous drug-resistant bacteria in the world has been discovered using artificial intelligence.
The drug works in a different way to existing antibacterials and is the first of its kind to be found by setting AI loose on vast digital libraries of pharmaceutical compounds.
16 Coronavirus ‘could cost global economy $1.1tn in lost income
https://www.theguardian.com/world/2020/feb/19/coronavirus-could-cost-global-economy-1tn-in-lost-output
The coronavirus could cost the global economy more than $1tn in lost output if it turns into a pandemic, according to a leading economic forecaster.
Oxford Economics warned that the spread of the virus to regions outside Asia would knock 1.3% off global growth this year, the equivalent of $1.1tn in lost income.
17 The business value of design
https://www.mckinsey.com/business-functions/mckinsey-design/our-insights/the-business-value-of-design
We also all know iconic designs, such as the Swiss Army Knife, the humble Google home page, or the Disneyland visitor experience. All of these are constant reminders of the way strong design can be at the heart of both disruptive and sustained commercial success in physical, service, and digital settings.
18 9 Ways to Enhance Your Project Management Skills in 2020
https://www.business2community.com/strategy/9-ways-to-enhance-your-project-management-skills-in-2020-02285011
Smart project managers know that meeting and exceeding their goals and objectives is the key to their success.
With the right project management skills, they execute their tasks better and reach milestones well within time.
19 6 Emerging Business Intelligence Tools -Big Data Analytics News
https://bigdataanalyticsnews.com/emerging-business-intelligence-tools/
Business Intelligence tools are the softwares used to analyze, gather, visualize, and process huge data effortlessly. These tools allow organizations to generate actionable business insights, store data, create manageable dashboards, and simplifies the decision-making process.
20 34 Great Articles and Tutorials on Clustering
https://www.datasciencecentral.com/profiles/blogs/14-great-articles-and-tutorials-on-clustering
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more.
21 Free Book: Classification and Regression In a Weekend
https://www.datasciencecentral.com/profiles/blogs/free-book-classification-and-regression-in-a-weekend
This tutorial began as a series of weekend workshops created by Ajit Jaokar and Dan Howarth. The idea was to work with a specific (longish) program such that we explore as much of it as possible in one weekend. This book is an attempt to take this idea online. The best way to use this book is to work with the Python code as much as you can.
