Connected Cars Are Not Too Far Away From Being Introduced. There Will Come A Day Where The People Can

A new lego compatible prosthetic arm allows for kids to build their own attachments

Transforming Healthcare with Edge Computing

The ever-expanding landscape of connected devices from wheelchairs to wearable health helps in monitoring the daily activities inside the body. This helps the industries to feed the data flexibly and also to analyze this data can help in improving patient care, control costs and deliver exceptional experiences. 

Many providers are opting for edge computing to solve problems that occur during processing and storage. Healthcare organizations are adapting edge-to-edge technologies that can integrate smoothly, from connectivity to the cloud to IoT endpoints, in a tech-ecosystem which is adequately secured.

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Three Major Benefits of Integrating AI and Blockchain |  https://www.apacciooutlook.com/news/three-major-benefits-of-integrating-ai-and-blockchain-nwid-5634.html

The idea of a smart city is imprinted in the technology sector’s viewpoint diverting technologies to innovate more in the domain. The cities are called smart when technology is incorporated into all fields, raising the level of ease with improved scope for research and development. 

The adoption of these systems into the daily life of the people living in cities, making them healthier, safer, and more prosperous, is occurring at a slower pace than expected. The abrupt hike in artificial intelligence (AI) algorithms, broader availability of low-cost IoT sensors, and distributed hybrid multi-cloud IT architectures have unraveled a plethora of opportunities in the development of smart cities. Factors that drive the growth of interconnected smart cities are: Read More

FB Tech Review is the only one of its kind, knowledge platform that brings to its audience insider information from the food and beverages technology space. With our unique peer-to-peer learning approach, we connect elements from the different ends of the spectrum.

Technology has transformed surveillance in the past years. A simple CCTV camera no longer cuts the mark; the possibilities and demands for surveillance are endless. In the 21st century, businesses need to consider a lot of aspects that probably didn't even exist a few years back. Here are four surveillance trends every CIO should know as the world is becoming smarter.

AI Leaps

For all the attention and the broad discussion, as a user of the electronic devices, we are aware that Artifical Intelligence is revolutionizing every industry drastically. AI has already made a significant impact by bringing advancement and making the life of humans a lot easier. Video surveillance is one of them. The machine learning or deep learning is mostly used for video analytics in many industries.

Video Surveilance

Threats in IoT/M2M and How to face it?

The new found capability of the Internet of things enables enterprises to create value in many new ways. This world of internet connected things, where humans interact with machines and machines talking to other machinery devices (M2M) are here to stay. In reality, M2M is viewed as a subdivision of Internet of things (IoT).

IOT/M2M

It is an encompassing phenomenon that includes Machine-to-human communication (M2H), Radio frequency identification (RFI), Location-based services (LBS), Lab-on-a-chip sensor (LCS), augmented reality, robotics, and vehicular telematics. The adoption rate of IoT is increasing five times faster than the adoption of electricity and mobile devices.

IoT sector finally stepped into PKI (public key infrastructure) which is a mechanism for naming and distributing public encryption keys. PKI plays a crucial role in increasing IoT security. This enables the secured exchange of data across the internet. 

Using PKI, sending or receiving of data can be easily validated. PKI deployments have jumped to 23 percent since 2015, and about 49 percent of IoT firms are partially encrypting data. The rate of hiring percentage of IoT specialists has also increased.

For the protection of IoT users, Jerry Brown, the governor of California has signed first IoT security legislation into law which will be active by 2020. This legislation includes vital points like stopping unauthorized access, preventing unwanted modifications, and providing a unique password for every IoT devices. IoT devices not only share the information across the networks but also aid in financial transactions.

Complete Insights Here: How to Face Threats in IoT/M2M

With blockchain, ocean plastic has met its bottleneck.

What’s a great way to celebrate World Oceans Day? Honor the people and businesses working to save our oceans. One company’s solution is simple—Plastic Bank is incentivizing people to keep plastic on land by turning it into a new kind of currency. In developing countries, locals can bring their plastic waste to a collection center and trade it for digital tokens leveraging IBM Blockchain technology that can be exchanged for goods from participating merchants. In regions where bank accounts are rare, and crime and corruption are prevalent, Plastic Bank’s blockchain-powered currency offers a secure, portable alternative. With their mission to keep oceans clean while financially empowering communities, Plastic Bank is more than deserving of World Oceans Day accolades.

Learn more about Plastic Bank ->

The Stepping Stones for Decision Analysis and Optimization

While data analytics do help garner deep insights for smarter decision-making, the insights required varies based on the technology and the analysis approach and procedures used.

 Businesses need to ensure that they have a business intelligence architecture or data warehouse that offers a convenient and multi-faceted analytical ecosystem optimized for effective analysis of diverse datasets.

Descriptive Analytics

Descriptive analysis is all about using the past performance, understanding its nature by mining the historical data to analyze the reason for a previously occurred success or failure. Descriptive models enable businesses to classify the prospects or parameters by consolidating relationships in data.

Diagnostic Analytics

An advanced level of analytics, diagnostic analysis, dissects the data to answer the reason behind a specific event. Methods used to characterize the data include data discovery, mining, drill down, and  Read More

Source: APAC Business Intelligence