How IoT Developers Can Use AI at the Edge to Improve Insights, Security & Manageability

| February 4, 2020

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Hear Robyn Dunn, Principal Product Management Lead at Microsoft, delve into how AI is used to generate insights from data. By automating data and removing ROI out of solutions, the Microsoft AI@Edge community is helping partners reduce cost and complexity when bringing solutions to market. She also shares insights on how AI at the edge helps address security and manageability issues that can be major concerns for IoT developers.

Spotlight

IoF2020 - Internet of Food & Farm

The Internet of Food and Farm 2020 (IoF2020) project aims to consolidate Europe's leading position in the Internet of Things (IoT) technology applied to the agri-food sector. We develop and ecosystem consisting of farmers, food companies, policy-makers, technology providers, research institutes and end-users. The project aims to solve the European food and farming sectors'​ social challenges, maintain their competitiveness and increase their sustainability.

OTHER ARTICLES

Scalable Software with Devops for Industrial IoT

Article | April 6, 2020

Scaling Industrial IoT (IIoT) solutions requires a DevOps organization that can manage increased software and hardware complexity in terms of capability, capacity and footprint. DevOps is derived from Development and Operations and is one of the buzz words for ICT companies. Often it is the amalgamation of Software Developers from R&D and senior engineers from Operations into a new organization. Startups are faced with the challenge of how to quickly create a functioning DevOps organization that can scale with rapid growth. In this article, we will deal with the keys for success to scale software solutions with using an example of an Industrial IoT solution. We will look at how DevOps should function and discuss the important principles for software development, tools and operations.

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Advantages and Disadvantages of Implementing IoT in Healthcare

Article | March 17, 2020

Given such examples, the Internet of Things (IoT) is seen as a way of living a smarter and safer life and its application is highly encouraged in medical establishments. However, digital transformation in healthcare isn’t without threats. It’s important to weigh all the advantages and disadvantages of implementing IoT systems in healthcare to be able to plan for ways to maximize the pros while mitigating the cons.

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Finding and Fixing Blind Spots in Enterprise IoT Security

Article | March 20, 2020

The Internet of Things has been a breakthrough, and adoption rates keep exploding. There are possibly over 20 billion IoT devices in the world, and by 2025, there may have been 75 billion. Even though there has been a rise in smart home devices, most IoT devices are found in businesses, industries, and healthcare. The benefits are overwhelming: from enabling automation of repetitive tasks (both simple and complex), to real-time data insights and analytics, IoT devices make workers more productive, improve customer experience, and reduce operating costs. However, with the many benefits of IoT devices come serious disadvantages, chief of which is security. Here are some reasons why IoT devices have such serious security risks:

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How Will the Emergence of 5G Affect Federated Learning?

Article | April 10, 2020

As development teams race to build out AI tools, it is becoming increasingly common to train algorithms on edge devices. Federated learning, a subset of distributed machine learning, is a relatively new approach that allows companies to improve their AI tools without explicitly accessing raw user data. Conceived by Google in 2017, federated learning is a decentralized learning model through which algorithms are trained on edge devices. In regard to Google’s “on-device machine learning” approach, the search giant pushed their predictive text algorithm to Android devices, aggregated the data and sent a summary of the new knowledge back to a central server. To protect the integrity of the user data, this data was either delivered via homomorphic encryption or differential privacy, which is the practice of adding noise to the data in order to obfuscate the results.

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Spotlight

IoF2020 - Internet of Food & Farm

The Internet of Food and Farm 2020 (IoF2020) project aims to consolidate Europe's leading position in the Internet of Things (IoT) technology applied to the agri-food sector. We develop and ecosystem consisting of farmers, food companies, policy-makers, technology providers, research institutes and end-users. The project aims to solve the European food and farming sectors'​ social challenges, maintain their competitiveness and increase their sustainability.

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