Insight: Amazon wants data of your body shape and eye movement

Amazon’s Anticipatory Package Shipping in its Fulfillment Centres has packed and ready to go items you haven’t yet thought to buy on their online store. Amazon Alexa continually records and collates your voice as you talk to it and ask it to find information. Internet of Things (IOT) devices hooked up to Alexa provide a blueprint into how you use, move around and live in your home. Amazon Prime Video and Amazon Prime Music expose what you like to watch and listen to. If you’ve bought into the Amazon ecosystem, that is the blunt truth of the data Amazon has of your cognitive-emotional patterns. Amazon knows what you like, when you’re home, what you sound like, how you talk, where you get your source of news and can predict when and what you might buy in the future.

Seems Amazon’s data strategy might not stop there: actually filed back in March 2015, on 2nd January 2018 the United States Patent and Trademarks Office granted a patent to Amazon Technologies Inc for the invention of a rather intriguing idea — enter the ‘Blended Reality Mirror’.

Since 2015, Amazon have been wanting to capture your entire body and track your eyes — all in the name of seeing if that red dress suits you or what tie goes with what shirt.

In October 2017 Amazon acquired Body Labs for at least $50 million — a software provider of human-aware artificial intelligence that understands the 3D body shape and motion of people from RGB photos or videos*. This is the perfect explanation from the Body Labs guys themselves.

The best and simplest explanation of how the software works that Body Labs have created, directly from the guys themselves. Disclaimer: I’m not responsible for content in automatic played videos after the video embedded.

What does this all mean?

In simple terms, the Blended Reality Mirror is a data-hungry Artificial Intelligent (AI) driven device. In the ‘reflection’, you see in real-time how clothes look on you from the Amazon Fashion store.

#amazon #technology #data #digital-identity #innovation #data analysis

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Insight: Amazon wants data of your body shape and eye movement
 iOS App Dev

iOS App Dev

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Insight: Amazon wants data of your body shape and eye movement

Amazon’s Anticipatory Package Shipping in its Fulfillment Centres has packed and ready to go items you haven’t yet thought to buy on their online store. Amazon Alexa continually records and collates your voice as you talk to it and ask it to find information. Internet of Things (IOT) devices hooked up to Alexa provide a blueprint into how you use, move around and live in your home. Amazon Prime Video and Amazon Prime Music expose what you like to watch and listen to. If you’ve bought into the Amazon ecosystem, that is the blunt truth of the data Amazon has of your cognitive-emotional patterns. Amazon knows what you like, when you’re home, what you sound like, how you talk, where you get your source of news and can predict when and what you might buy in the future.

Seems Amazon’s data strategy might not stop there: actually filed back in March 2015, on 2nd January 2018 the United States Patent and Trademarks Office granted a patent to Amazon Technologies Inc for the invention of a rather intriguing idea — enter the ‘Blended Reality Mirror’.

Since 2015, Amazon have been wanting to capture your entire body and track your eyes — all in the name of seeing if that red dress suits you or what tie goes with what shirt.

In October 2017 Amazon acquired Body Labs for at least $50 million — a software provider of human-aware artificial intelligence that understands the 3D body shape and motion of people from RGB photos or videos*. This is the perfect explanation from the Body Labs guys themselves.

The best and simplest explanation of how the software works that Body Labs have created, directly from the guys themselves. Disclaimer: I’m not responsible for content in automatic played videos after the video embedded.

What does this all mean?

In simple terms, the Blended Reality Mirror is a data-hungry Artificial Intelligent (AI) driven device. In the ‘reflection’, you see in real-time how clothes look on you from the Amazon Fashion store.

#amazon #technology #data #digital-identity #innovation #data analysis

Gerhard  Brink

Gerhard Brink

1620629020

Getting Started With Data Lakes

Frameworks for Efficient Enterprise Analytics

The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.

This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.

Introduction

As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).


This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.

#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management

Cyrus  Kreiger

Cyrus Kreiger

1618039260

How Has COVID-19 Impacted Data Science?

The COVID-19 pandemic disrupted supply chains and brought economies around the world to a standstill. In turn, businesses need access to accurate, timely data more than ever before. As a result, the demand for data analytics is skyrocketing as businesses try to navigate an uncertain future. However, the sudden surge in demand comes with its own set of challenges.

Here is how the COVID-19 pandemic is affecting the data industry and how enterprises can prepare for the data challenges to come in 2021 and beyond.

#big data #data #data analysis #data security #data integration #etl #data warehouse #data breach #elt

Macey  Kling

Macey Kling

1597579680

Applications Of Data Science On 3D Imagery Data

CVDC 2020, the Computer Vision conference of the year, is scheduled for 13th and 14th of August to bring together the leading experts on Computer Vision from around the world. Organised by the Association of Data Scientists (ADaSCi), the premier global professional body of data science and machine learning professionals, it is a first-of-its-kind virtual conference on Computer Vision.

The second day of the conference started with quite an informative talk on the current pandemic situation. Speaking of talks, the second session “Application of Data Science Algorithms on 3D Imagery Data” was presented by Ramana M, who is the Principal Data Scientist in Analytics at Cyient Ltd.

Ramana talked about one of the most important assets of organisations, data and how the digital world is moving from using 2D data to 3D data for highly accurate information along with realistic user experiences.

The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment, 3D data for object detection and two general case studies, which are-

  • Industrial metrology for quality assurance.
  • 3d object detection and its volumetric analysis.

This talk discussed the recent advances in 3D data processing, feature extraction methods, object type detection, object segmentation, and object measurements in different body cross-sections. It also covered the 3D imagery concepts, the various algorithms for faster data processing on the GPU environment, and the application of deep learning techniques for object detection and segmentation.

#developers corner #3d data #3d data alignment #applications of data science on 3d imagery data #computer vision #cvdc 2020 #deep learning techniques for 3d data #mesh data #point cloud data #uav data