7 questions to ask before you launch an enterprise blockchain project
Successful projects will think seriously about what blockchains mean, and how to use them effectively.
Successful projects will think seriously about what blockchains mean, and how to use them effectively.
Biosynthesising Nanomaterials, OS X Age, Debugging Machine Learning, and Deepfake Detection
Watch highlights covering machine learning, GDPR, data protection, and more. From the Strata Data Conference in London 2018.
Mick Hollison, Sven Löffler, and Robert Neumann explain how Deutsche Telekom is harnessing machine learning and analytics in the cloud to build Europe’s largest IoT data marketplace.
May 25 is an important day for data protection in the EU and elsewhere. Alison Howard explains how Microsoft has prepared for May 25 and beyond.
Ben Lorica looks at the problems we’re facing as we collect and store data, particularly when our machine learning models require huge amounts of labeled data.
Pierre Romera explores the challenges in making 1.4 TB of data securely available to journalists all over the world.
Eva Kaili outlines the fundamentals of GDPR and applications of blockchain.
Remote Work, AWS Production Checklist, Proof of Work, and Face Recognition
Don’t pigeonhole blockchain as a technology that’s primarily useful for finance.
Professional Growth, Mental Models, Battleships Over BGP, and Policy Engine
Quantum Computing, E-Waste, Artificial Senses, and Inside printf
Efficient Meetings, Mixed Reality in Unity, Design Power, and AI's Exponential Curve of Cost
Unpacking the complexity of blockchain, term by term.
SEC's ICO, Feeling, Win95 for iOS, and Monocular Performance Capture
Answers to the three most commonly asked questions about maintaining GDPR-compliant machine learning programs.
Right to Repair, Entrepreneurial Privilege, Bash Style, and The Botnet Business Model
Data to Sound, Black Mirror, Emulation, and PGP Vulnerability