Friday, October 4, 2019

Business Intelligence and Analytics 32

 

1              Automated Machine Learning (AutoML)
https://medium.com/@DataFolkz/automated-machine-learning-automl-c995f238f265

Automated machine learning (AutoML) is a fundamental shift in the way organizations of all verticals & sizes approach machine learning and data science. Applying traditional machine learning methods to real-world business problems has become:

• Time-consuming
• Resource-intensive
• Challenging

 

2              Clustering Metrics Better Than the Elbow Method
https://www.kdnuggets.com/2019/10/clustering-metrics-better-elbow-method.html

Clustering is an important part of the machine learning pipeline for business or scientific enterprises utilizing data science. As the name suggests, it helps to identify congregations of closely related (by some measure of distance) data points in a blob of data, which, otherwise, would be difficult to make sense of.

 

3              Artificial intelligence (AI) In Digital Marketing – MarTech Outlook
https://medium.com/martech-outlook/artificial-intelligence-ai-in-digital-marketing-8aa83ce81e20

Artificial intelligence (AI) is already serving to the industries across domains. AI is enhancing all the areas that need deciding, prognostic analysis, and automation. Marketing, whether or not it’s ancient or digital, conjointly extracts helpful insights from the technology. as a result of its ability to access large client knowledge and behavior patterns, AI allows marketers to supply increased client expertise. except client expertise, AI will permit marketers to optimize and set up their time and budget.

 

4              4 Ways to Automate Your Business
https://chatbotnewsdaily.com/4-ways-to-automate-your-business-86045a1b3506

On one hand, you as the owner of your business like having control over the processes that unravel under your roof every day. It’s good to have access to employees who know how to tackle your social media strategy, spend a few hours brainstorming for your next marketing campaign, and have a trusted accounting department taking care of your invoices, tax needs, and the like. Then again, juggling so many departments, even in a smaller business, means relinquishing hours of your day to menial tasks and chores, delegating, negotiating, etc.

 

5              How companies should upskill employees
https://www.fastcompany.com/90411274/companies-know-upskilling-is-critical-but-that-doesnt-mean-theyre-doing-it-right

If there was any doubt that business leaders have caught on to the importance of upskilling, Amazon quelled it when they announced plans to invest $700 million in retraining 100,000 U.S. employees in July.

 

6              Enterprise Guide to Digital Transformation
https://www.informationweek.com/strategic-cio/digital-business/enterprise-guide-to-digital-transformation/a/d-id/1335484

Don’t let IT modernization be the bane of your existence. This curated collection of articles will give you more clarity and help you get started.

 

7              Artificial Intelligence Is Being Used To Diagnose Disease And Design New Drugs
https://www.forbes.com/sites/nicolemartin1/2019/09/30/artificial-intelligence-is-being-used-to-diagnose-disease-and-design-new-drugs/

The healthcare industry has always been a leader in innovation. The constant mutating of diseases and viruses makes it difficult to stay ahead of the curve, but with the help of artificial intelligence and machine learning algorithms, it continues to advance, creating new treatments and helping people live longer and healthier lives.

 

8              Will Google AI Ever Rule the World?
https://datafloq.com/read/will-google-ai-ever-rule-the-world/6966
Internet giant Google has recently been sharpening its focus on dominating AI. Not content with its almost monopolistic hold of internet searches, Google has a 90% market share. The company sees AI as a way of further increasing its influence. Already many of Google’s most popular applications, such as its voice assistant and search engine are driven by Google AI developed tools.

 

9              Don’t Fear the Terminator – Scientific American Blog Network
https://blogs.scientificamerican.com/observations/dont-fear-the-terminator/
As we teeter on the brink of another technological revolution—the artificial intelligence revolution—worry is growing that it might be our last. The fear is that the intelligence of machines will soon match or even exceed that of humans. They could turn against us and replace us as the dominant “life” form on earth. Our creations would become our overlords—or perhaps wipe us out altogether. Such dramatic scenarios, exciting though they might be to imagine, reflect a misunderstanding of AI.

 

10        Data Preparation for Machine learning 101: Why it’s important and how to do it
https://www.kdnuggets.com/2019/10/data-preparation-machine-learning-101.html
A condensed version of his perspective:

• Master coding, particularly python that is most ideal for machine learning. In addition to coding expertise, you should have good analytical and statistical skills.
• For starters, you can begin by cloning codes from git repositories or tutorials. But, to become a sound ML/AI engineer, you must know and own what you’re doing.
• Do not invent a solution and hunt for the problem. Instead, identify the problems and challenges to invent an automated solution.