Welcome to our selection of business IT innovation news. Created using our own opinionated selection and summary algorithm. We present some top innovation news items to get you thinking, debating and take action in order to make our world better.
1 The mother of all innovation maps
A complete landscape of innovation approaches. An overview of innovation methods and approaches that help people make sense of reality, and approaches that help develop solutions and interventions to create change. People often have a personal bias when considering innovation methods. When academics are involved in an innovation process, they can show a preference for more analytical methods. But it’s important to challenge these biases and look beyond our own disciplines at other methods. This diagram will help you to identify your own biases and make better informed decisions when planning your innovation journey.
(Nesta)
2 Rant
Rant is a free, all-purpose procedural text generation language developed for .NET. It has been refined over several years of development to include a dizzying array of features designed to handle everything from the most rudimentary of string generation tasks to dynamic game dialogue generation, code templating, automatic formatting, poetry, simple API and much more.
(Rant)
3 Ludwig
Uber is developing new technology in rapid pace. And Uber knows the power of releasing code as OSS. So now we have Ludwig. Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. Ludwig is unique in its ability to help make deep learning easier to understand for non-experts and enable faster model improvement iteration cycles for experienced machine learning developers and researchers alike. Ludwig provides a set of model architectures that can be combined together to create an end-to-end model for a given use case. As an analogy, if deep learning libraries provide the building blocks to make your building, Ludwig provides the buildings to make your city, and you can chose among the available buildings or add your own building to the set of available ones. Ludwig can be regarded as a low-code tool: No coding required: no coding skills are required to train a model and use it for obtaining predictions.
(Ludwig)
4 Dear OpenAI: Please Open Source Your Language Model
This past Valentine’s day, OpenAI dropped two bombshells: a new, state- of-the-art language model and the end of its love affair with open source. While OpenAI has previously pondered the relationship between open source and AI misuse, this marks the first time an AI lab has refused to open source their work in the name of safety. OpenAI, for the sake of our future, please open source your language model. Correction: Alec Radford graciously pointed out that I linked the wrong page of sample GPT-2 outputs. With open source, artists produced the first AI-generated art piece sold at a major art auction. Additionally, open source encourages the spread of information to the general public.
5 The Apache® Software Foundation Announces Apache Arrow™ Momentum
Apache Arrow™ enables execution engines to take advantage of the latest SIMD (Single input multiple data) operations included in modern processors, for native vectorized optimization of analytical data processing. In January the project announced its most recent release, Apache Arrow 0.12.0, which reflects more than 600 enhancements developed during Q4 2018. About Apache Arrow Apache Arrow is a cross-language development platform for in-memory data.
6 Nondisruptive Creation: Rethinking Innovation and Growth
We examine how — and even where — managers can identify problems to solve and opportunities to seize through nondisruptive creation. Understanding Nondisruptive Creation Although the term is new, the existence of nondisruptive creation is not. This nondisruptive creation is unleashing yet another new multibillion-dollar industry. Redefine an existing industry problem and solve the redefined problem. Innovation strategies that redefine an existing industry problem and solve the redefined problem lead to both disruptive and nondisruptive creation. Think, how can you use your creative power and the latest technology developments to solve problems or seize opportunities previously seen as out of reach by conventional means and methods? Areas Ripe for Nondisruptive Creation Our research has uncovered numerous areas ripe for nondisruptive creation with the three steps above. As these examples illustrate, when you put on the lens of nondisruptive creation, you quickly discover that it is all around us. Since 1997, it has been revised several times to keep up with the pace of industry creation, re-creation, and growth.
7 Sam Hewitt: Taking the “User” out of Design
It makes us lazy as designers and we fall into the habit of seeing people as only consumers of a product—as endpoints of interaction—and we must force ourselves into seeing the context and circumstances of people’s lives as well. > we must force ourselves into seeing the context and circumstances of people’s lives. Now, I can’t wave a magic wand and move the industry towards a human-focused design approach, I can only advocate for more humanistic, more ethical design thinking. We have to build technology that respects the rights, dignity, and experiences of human beings and that begins with calling them people. It’s the difference between “data mining users and their input” and “surveilling people and their behaviour”. If people are seen as just data values or endpoints in interaction, it’s doubtful you’ll ask “what’s the harm?” when manipulating them.
8 Putting data privacy in the hands of users
In today’s world of cloud computing, users of mobile apps and web services store personal data on remote data center servers. The researchers modified a traditional interpreter to extract defined policies from incoming user data and labels certain variables with specific policy direction. This method enables the monitor to terminate a universe’s code, if that code attempts to violate the universe’s data policy. For web developers, however, these laws provide little technical guidance for writing sophisticated apps that need to leverage user data. In Riverbed, a user’s web browser or smartphone app does not communicate with the cloud directly.
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