Friday, February 14, 2020
Business Intelligence and Analytics 51
1 The Metal Trump Wants More Than Gold
https://oilprice.com/Energy/Energy-General/The-Metal-Trump-Wants-More-Than-Gold.html
There are 16 metals in total that form the world’s strategically critical rare-earth elements–and China controls the supply of every single one because it controls 96% of production.
One of these crucial metals is Cesium.
2 Huawei faces new US charges alleging decades-long effort to steal technology
https://www.theguardian.com/technology/2020/feb/13/huawei-new-us-indictment-decades-long-steal-technology
Huawei has been accused of stealing trade secrets and lying to US federal investigators in a new indictment that is likely to deepen US-UK tensions over a recent move by the British government to allow the Chinese company to supply 5G equipment for a new network.
3 VR allows ExxonMobil to simulate projects before they happen
https://www.bicmagazine.com/industry/refining-petchem/vr-exxonmobil-simulate-projects/
The Gulf Coast’s petrochemical corridor may seem far from Silicon Valley, but on the cutting edge of industrial applications for new technologies, experts see a fruitful marriage on the horizon.
4 40+ Modern Tutorials Covering All Aspects of Machine Learning
https://www.datasciencecentral.com/profiles/blogs/40-tutorials-covering-all-aspects-of-machine-learning
This list of lists contains books, notebooks, presentations, cheat sheets, and tutorials covering all aspects of data science, machine learning, deep learning, statistics, math, and more, with most documents featuring Python or R code and numerous illustrations or case studies. All this material is available for free, and consists of content mostly created in 2019 and 2018, by various top experts in their respective fields. A few of these documents are available on LinkedIn: see last section on how to download them.
5 The Basics of Simple Linear Regression (Non-Technical)
https://towardsdatascience.com/the-basics-of-simple-linear-regression-non-technical-4b559d55d611?source=rss—-7f60cf5620c9—4
I’ve been working on Linear Regression models since the inception of my journey in Data Science. Having worked with multiple business stakeholders at Fortune 300 companies, I have been fortunate enough to understand what is expected of a data scientist. This is a non-technical blog as a whole, but it does include some mathematical understanding of the model. I would encourage a non-technical person to refer to it as well, as it pays to get your hands dirty and understand the nuances of machine learning.
6 The Differences Between Machine Learning And Predictive Analytics
https://medium.com/@mahiprashanth866/the-differences-between-machine-learning-and-predictive-analytics-8eab50e537d0
Machine learning is a method of computational learning underlying most artificial intelligence (AI) applications. In ML, systems or algorithms improve themselves through data experience without relying on explicit programming. ML algorithms are wide-ranging tools capable of carrying out predictions while simultaneously learning from over trillions of observations.
7 Recommender System Metrics: Comparing Apples, Oranges and Bananas
https://www.kdnuggets.com/2020/02/comparing-apples-oranges-bananas.html
Creating a good product recommender system is challenging. Another related challenge, however, is defining what it means to be ‘good’. This article will discuss a sometimes-overlooked aspect of what distinguishes recommender systems from other machine learning tasks: added uncertainties of measuring them.
8 JPMorgan in talks to merge blockchain unit Quorum with startup ConsenSys
https://www.reuters.com/article/us-jp-morgan-blockchain-exclusive-idUSKBN2051AW
JPMorgan Chase & Co (JPM.N) is in talks to merge its marquee blockchain unit Quorum with Brooklyn-based startup ConsenSys, according to people familiar with the plans.
9 U.S. companies cut back on installing robots in 2019
https://www.reuters.com/article/us-usa-economy-robots-idUSKBN20519Y
U.S. companies installed fewer robots in 2019 than they did the year before, the first cut back since 2015, as a downturn in manufacturing fueled by trade wars and weaker demand dampened appetite for the machines.
10 Automation and AI Only Works With Help From Customer Service Agents
https://www.business2community.com/business-innovation/automation-and-ai-only-works-with-help-from-customer-service-agents-02283388
Though AI (really a form of automation) has existed in some form for many years, it’s only been recently that both have achieved levels of maturity permitting more widespread application and meaningful use. With the promise of greater efficiencies at lower cost, companies are racing to deploy these technologies across their business, including in customer service.
11 Why We Fall for Scams and How to Prevent It
https://datafloq.com/read/psychology-online-fraud-why-we-fall-scams-how-prevent-it/7699
It’s regularly said that humans are the weakest link in cybersecurity. I find it difficult to differ with this announcement given what number of individuals succumb to different tricks every year.
12 5 Ways to Humanize B2B Content Marketing
https://www.toprankblog.com/2020/02/humanize-b2b-content-marketing/
It can be hard to bring out the humanity in B2B content, especially when your product is intangible. Not many folks feel a warm sense of empathy with a cloud-based data solution. You can’t take adorable Instagram photos of happy customers cuddling with your supply chain logistics platform. That just means that B2B content marketers have to be more creative than even our B2C counterparts.
13 5 Ways to Increase Your Market Share
https://blog.hubspot.com/marketing/how-to-increase-your-market-share
In 2007, Apple introduced the iPhone. The cell phone boasted a full touch screen, a slew of personalization options, and internet capabilities. These features were rare in the phone market before the iPhone, and having them all on one device was especially enticing.
14 Why Small Businesses Need to Focus on Human Resource Training?
https://www.business2community.com/small-business/why-small-businesses-need-to-focus-on-human-resource-training-02283587
Human Resource Training involves training on all aspects related to the human resource function. There is no doubt that human resources are the most important resource in an organization. They are referred to as human capital, as employees are valuable assets for the company.
