Enabling privacy-preserving Machine Learning
Today, a world without machine learning is hard to imagine. From voice assistants to the analysis of medical data to self-driving cars, these algorithms power the latest and most advanced technologies. All this is enabled by large amounts of data, provided by individuals and businesses.
Discovery Phase: Defining your Network Requirements
The first phase of token creation should start with an understanding of the ecosystem itself. In the Discovery Phase, we propose a process for token teams to formulate and align on the problem they are actually trying to solve. The fundamental question of “Why a token?” seems like a simple one, but getting internal alignment on the answer is harder then it seems. The discovery phase is all about determining and aligning on the particular characteristics of your business model, and defining the requirements for your token design.
State of Blockchains Q3: The professionals have moved in with VC investments soaring to an all time high
Outlier Ventures today published the Q3 report in its State of Blockchains series, which provides an overview into blockchain investment and market trends worldwide. The report reveals a range of insights into the market, three of which are:
Evaluation of Privacy-Preserving Technologies for Machine Learning
With vast amounts of data available to us today, the question of privacy and responsible handling of this data becomes increasingly critical. Not only is data privacy required by law in some cases, e.g., for medical or financial data. Additionally, the desire of customers and clients for discretion and privacy is growing and has become a topic of public focus.
Unlocking Value in the Open Mobility Ecosystem
Today, we want to introduce the idea of decentralised data marketplaces and why we believe they are foundational to unlocking new economic value.
DLTs, IoT and AI are converging to reshape transport
The transportation and logistics industries are having an existential crisis. Electric vehicles and lithium battery costs are falling quickly; autonomy software is improving at a rapid pace and ride-sharing platforms are leading customers to question the need to own cars.