Fast and easy tech!

About Fast and easy tech!

No sign-up. No fees. No ads. No privacy violation. Just simple, up-front and a renewed perspective on everyday technology events, news and trends. We bring tech information to our listeners on a variety of topics and subjects ranging from cutting edge Artificial Intelligence to humble home technology. Choosing from such myriad of topics is never easy, yet we make an effort to bring to our audience topics that are simulating, interesting and though-provoking. We hope you will enjoy our show as much as we loved creating it.

Publisher

Tech Discourse

Category

technology

Language

en

Explicit

No

First episode

10 Aug 2020

Latest episode

4 Sept 2020

Latest episodes

22 episodes in the feed.

1. 

   4 Sept 2020

   Episode 22: Exposure Notifications Express

   With the new Exposure Notification Express, which forms the second phase of Exposure Notification System, the system removes one of the key barriers to adoption that led to a slow start to the software. Once users update iOS 13.7, users can now enable COVID-19 Exposure Notifications directly in the Settings app on their iPhone. This new process is called Exposure Notifications Express. The process is as simple as enabling user preferences in any other application and just takes a few taps, including agreeing to the public health agency terms and conditions of service. Additionally, users will also be able to opt-in to receive a push notification when their local public health authority adopts Exposure Notifications Express.

2. 

   3 Sept 2020

   Episode 21: Microservices Architecture

   The philosophy of the microservices architecture is: “Do one thing and do it well." Services might run within the same process, but they should be independently deployable and easy to replace. They can be implemented using different programming languages, databases, and software environment. The services are small and fine-grained to perform a single function. They embrace automation of testing and deployment, continuous delivery software development process, failure and faults, similar to anti-fragile systems. Each service is elastic, resilient, composable, minimal, and complete.

3. 

   2 Sept 2020

   Episode 20: Biases in Machine Learning Part I

   Classic machine learning algorithms involve techniques such as decision trees and association rule learning, including market basket analysis (ie, customers who bought Y also bought Z). Deep learning, a subset of machine learning that includes neural networks, attempts to model brain architecture through the use of multiple, overlaying models. Classic examples of Machine learning include Virtual Personal Assistants like Siri, Alexa, Google, Predictions while Commuting, Videos Surveillance, Social Media Services from personalizing your news feed to better ads targeting, Face recognition, Email Spam and Malware Filtering, Online Customer Support including chat bots, Search Engine Result Refining, Product Recommendations based on previous purchase trends, and Online Fraud Detection including efforts to curb money laundering. Removing bias from AI is the result of deliberate, calculated and thought-out human endeavors, and certainly not an unintended byproduct of certain data analysis. Companies employing any or all five forms of AI — computer vision, natural language, virtual assistants, robotic process automation, and advanced machine learning — must realize that any output they hope to derive are only as good as the data on which the applications are trained.

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

5.0 / 5

1 ratings