Radical Open Innovation News week 39-2019

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 Democratizing creative photography and video

Machine learning is finding it way more and more into new commercial companies. So now there is a company offering 100,000 Faces Generated by AI to be used as stock photos. The data set used has been built by taking 29,000+ photos of 69 different models over the last 2 years. After shooting, a labor-intensive tasks is done such as tagging and categorizing. So still a lot of manual work has been done…


2 Microsoft Icecaps

Microsoft ICECAPSis a new open-source NLP library focused on building intelligent conversation agents that can communicate naturally with humans. ICECAPS allows users (developers) to extend our conversational technologies in novel ways.

(Microsoft Icecaps)

3 An Inside Look at Flood Forecasting

Since we’re committed to the high-resolution required for highly accurate forecasts, this can lead to unscalable computational costs, even for Google! Sella Nevo, Senior Software Engineer, Google Research, Tel Aviv Several years ago, we identified flood forecasts as a unique opportunity to improve people’s lives, and began looking into how Google’s infrastructure and machine learning expertise can help in this field. Last year, we started our flood forecasting pilot in the Patna region, and since then we have expanded our flood forecasting coverage, as part of our larger AI for Social Good efforts. Based on this valuable data set, we correlate historical water level measurements with historical inundations, allowing us to identify consistent corrections to our hydraulic model. For this purpose, we added a predictive inundation model, based on historical measurements.

(Google AI Blog)

4 How AI Is Helping Companies Break Silos

Anyone who has ever worked for a large organization knows that information silos are a challenging fact of life. The technology also has the potential to help break down information silos and other barriers. But as companies start to experiment with new technologies that break down silos, things might begin to look different. Companies that are in business together often don’t have full information or a clear picture of their partnership. UPS, the Atlanta-based shipping giant, is a prime example of how companies can embrace new technology for operational efficiency and better outcomes.

(MIT Sloan Management Review)

5 What’s the Deal With 5G?

So, if it’s going to be a while before I enjoy mm-wave speeds, what else is there to expect from 5G networks? Although faster downloads are, for consumers, likely the first noticeable change in 5G networks, full- featured 5G networks are expected to offer many more capabilities. What’s so different about 5G that will take so long to roll out? There is (at least) one major aspect of 5G networks that will take some time to complete: small-cell deployment. For example, 5G-enabled phones will be able to connect to older networks (4G, LTE) when no 5G is available, and may even make 4G and 5G connections simultaneously.


6 Survival Of The Cheapest?

That may mean that we never get to a standard solution, but only to the best solution for a given data type. We all want the best solution to win, but that rarely happens. But that inevitably leads to those smaller volume applications being forced to accept less-than-optimal solutions. For many cases, the first to volume is the one where the costs are driven down, making it more affordable to the masses. There is more willingness to be open and to share advances. That has led to much higher likelihood that open source software and hardware will become important.

(Semiconductor Engineering)

7 Presto Foundation to Tackle Distributed Data Processing at Scale

Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Its flexible design allows processing data from a wide variety of data sources. “Presto has been designed for high performance exabyte-scale data processing on a large number of machines. It can query data where it is stored without needing to move the data to a separate system. The newly-established Presto Foundation will have an open and neutral governance model that will enable Presto to scale and diversify its community. Presto is used at large scale. E.g. Facebook uses Presto for interactive queries against several internal data stores, including their 300PB data warehouse. Over 1,000 Facebook employees use Presto daily to run more than 30,000 queries that in total scan over a petabyte each per day.


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]