Radical Open Innovation News week 31-2019

Welcome to our biweekly selection of digital innovation news. Created using our opinionated automated selection algorithm with a twisted text rank summary creator. We present some top innovation news items to get you thinking, debating and take action in order to make our world even better.

1 Ways Financial Firms Put Machine Learning to Work

Several industry giants in the finance sector are well on their way to implementing machine learning technology that improves operations and guides strategy in multiple departments. Some firms are already saving hundreds of thousands of labor hours annually with their machine learning endeavors, while other firms have yet to deploy models. Right now, machine learning is still a “nice-to-have,” but it will soon be a must-have to remain competitive.


2 How can we stop smart sensors from spying on us?

One of the reasons I’m most excited about TinyML is that adding machine learning to microphones and cameras will let us create smart sensors. The nice thing about bundling the audio and image sensors together with the machine learning logic into a single component is that we have the ability to constrain the interface. We won’t actually be using them to record sound or video for playback, in the traditional sense, they’ll just be implementation details of higher-level sensors. I was struck by one constraint that was missing though – nobody had to worry about privacy in the deep sea. I’m convinced that engineers will end up building these devices because they’re starting to become possible to create.

(Pete Warden’s blog)

3 Argdown: simple syntax for complex argumentation

Argdown is a simple syntax for analyzing complex argumentation. Writing pro & contra lists in Argdown is as simple as writing a twitter message. You don’t have to learn anything new, except a few simple rules that will feel very natural. With these simple rules you will be able to define complex dialectical relations between arguments or dive into the details of their logical premise-conclusion structures. Your document is transformed into an argument map while you are typing.


4 Digital Success Requires Breaking Rules

That’s because while digitization requires top-down leadership principles with centralized accountabilities, digital business success requires local empowerment with distributed accountabilities. Specifically, carrying over the business rules that lead to operational excellence — process optimization, business case development, performance metrics — actually impedes execution of digital business models. They will find that the rules for digital success are not clear. Give digital business leaders space to invent new rules and metrics. Both transformations are essential to sustained business success, but the technologies are the only thing that digitization and digital transformations have in common.

(MIT Sloan Management Review)

5 IoT’s promise will be unlocked by addressing skills shortage, complexity and security

IDC expects that by 2025 there will be 41.6 billion connected IoT devices or “things,” generating more than 79 zettabytes (ZB) of data[i]. Almost half (47%) say there are not enough available skilled workers and one in four (38%) IoT adopters cite complexity/technical challenges to using IoT as a barrier to further their IoT adoption. We have also contributed to and developed industry resources such as the Security Maturity Model and Seven Properties of Highly Secured Devices to help customers establish a set of best practices around IoT security. We heard from businesses adopting IoT that they believe they will see a 30% ROI on their IoT projects going forward. Companies with successful IoT implementations recognize the importance of establishing partnerships early and fostering these relationships over the course of their IoT journey. * Security as foundational – IoT security needs to be addressed at every layer – from the silicon layer to the cloud.


6 Digital is Different: Evolving Fourth Amendment Rights

The government did not obtain a warrant to use the pole camera. The court cited three principles that “dictate the resolution” of the defendant’s motion to suppress the images that resulted from the warrantless pole camera surveillance. While this pole camera was used to observe a driveway and front of a house, what about persistent surveillance of a business? What about a pole camera at a multi-family apartment building?


7 Open Innovation Implementation in SMEs

In the literature of Open Innovation (OI), some specific themes, such as elaboration of methods, strategies and systematized processes of implementation are still little discussed. In attempted to fill this research gap, this study aims to present a proposal for a framework for the implementation of OI in Small and Medium-sized Enterprises of Regional Innovation Systems (RIS). As such, it can support the theoretical development related to OI implementation methods and tools. The constructivist method was used in the development of the framework, which represents the Implementation Process of OI (IPOI), consisting of 5 stages: (i) diagnosis of RIS; (ii) diagnosis of the enterprise; (iii) preparation; (iv) implementation; and (v) monitoring and control. The unfolding of this process in stages and measurement systems allows us to understand the elements and Critical Success Factors (CSF) that interfere in the improvement of the capacity of innovation in SMEs inserted in RIS.

(Journal of Technology and management)

8 Luna: a developer’s whiteboard on steroids

Luna is a data processing and visualization environment built on a principle that people need an immediate connection to what they are building. It provides an ever-growing library of highly tailored, domain specific components and an extensible framework for building new ones. Luna targets domains where data processing is the primary focus, such as data science, IoT, bioinformatics, graphic design and architecture. Luna is OSS, so check https://github.com/luna/luna


The Radical Open Innovation weekly overview is a brief overview of innovation news on Digital Innovation and Management Innovation from all over the world. Your input for our next edition is welcome! Send it to [info] at [bm-support]dot[org]