Mike Loukides

Radar article
Radar Trends to Watch: December 2025

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The Other 80%: What Productivity Really Means

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Radar Trends to Watch: November 2025

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On the AWS Outage

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Enlightenment

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Radar Trends to Watch: October 2025

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Megawatts and Gigawatts of AI

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Radar Trends to Watch: September 2025

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Firing Junior Developers Is Indeed the “Dumbest Thing”

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The Abstractions, They Are A-Changing

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Radar Trends to Watch: August 2025

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Hanoi Turned Upside Down

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Whistle-Blowing Models

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Radar Trends to Watch: July 2025

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Normal Technology at Scale

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Radar Trends to Watch: June 2025

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Vibing at Home

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Radar Trends to Watch: May 2025

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“Death by 1,000 Pilots”

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Context Serialization

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Seniors and Juniors

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Radar Trends to Watch: April 2025

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AI and the Structure of Scientific Revolutions

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AI’s Future: Not Always Bigger

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Radar Trends to Watch: March 2025

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Preparing for AI

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Radar Trends to Watch: February 2025

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Biggest Doesn’t Win

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Technology Trends for 2025

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Radar Trends to Watch: January 2025

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Summarizing Books as Podcasts

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Generative Logic

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Radar Trends to Watch: December 2024

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Blown Away

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Radar Trends to Watch: November 2024

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Henry Ford Does AI

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The State of Security in 2024

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Radar Trends to Watch: October 2024

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Preparing for AI

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The AI Blues

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Radar Trends to Watch: September 2024

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Platform Engineering: The Next Step in Operations

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Think Better

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Radar Trends to Watch: August 2024

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Software Architecture in an AI World

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Programming, Fluency, and AI

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Radar Trends to Watch: July 2024

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Generative AI for Farming

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Answers: Generative AI as Learning Tool

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Radar Trends to Watch: June 2024

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Passwords and their Discontents

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Making Marketing More Effective with AI

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Radar Trends to Watch: May 2024

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Attacking Supply Chains at the Source

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Quality Assurance, Errors, and AI

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Radar Trends to Watch: April 2024

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Vacuum Tubes and Transistors

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Radar Trends to Watch: March 2024

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Corporate Responsibility in the Age of AI

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The OpenAI Endgame

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Radar Trends to Watch: February 2024

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Technology Trends for 2024

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Can Language Models Replace Compilers?

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Radar Trends to Watch: January 2024

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Copyright, AI, and Provenance

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Radar Trends to Watch: December 2023

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Strawberry Fields Forever

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Generative AI in the Enterprise

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Creativity Isn’t Just Remixing

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Radar Trends to Watch: November 2023

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Questions for 2024

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Model Collapse: An Experiment

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Prompting Isn’t The Most Important Skill

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Automated Mentoring with ChatGPT

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Radar Trends to Watch: October 2023

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The Real Problem with Software Development

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Radar Trends to Watch: September 2023

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The next generation of developer productivity

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The ChatGPT Surge

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Radar Trends to Watch: August 2023

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Fearing the Wrong Thing

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Radar Trends to Watch: July 2023

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ChatGPT, Now with Plugins

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Radar Trends to Watch: June 2023

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Pause AI?

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Radar Trends to Watch: May 2023

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Real World Programming with ChatGPT

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Not Forgotten

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Radar Trends to Watch: April 2023

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What Are ChatGPT and Its Friends?

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Getting the Right Answer from ChatGPT

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Radar Trends to Watch: March 2023

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Technology Trends for 2023

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Sydney and the Bard

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AI Hallucinations: A Provocation

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Radar Trends to Watch: February 2023

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Digesting 2022

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Radar Trends to Watch: January 2023

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What Does Copyright Say about Generative Models?

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Radar Trends to Watch: December 2022

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Technical Health Isn’t Optional

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Healthy Data

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Formal Informal Languages

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Radar Trends to Watch: November 2022

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The Collaborative Metaverse

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What Is Hyperautomation?

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Radar Trends to Watch: October 2022

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The Problem with Intelligence

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Radar Trends to Watch: September 2022

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On Technique

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Radar Trends to Watch: August 2022

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Artificial Creativity?

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Radar Trends to Watch: July 2022

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2022 Cloud Salary Survey

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“Sentience” is the Wrong Question

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Closer to AGI?

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Radar Trends to Watch: June 2022

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Quantum Computing without the Hype

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Radar trends to watch: May 2022

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The General Purpose Pendulum

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Radar trends to watch: April 2022

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AI Adoption in the Enterprise 2022

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Epstein Barr and the Cause of Cause

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Radar trends to watch: March 2022

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Intelligence and Comprehension

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The Human Web

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Radar trends to watch: February 2022

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Technology Trends for 2022

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What Is Causal Inference?

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What’s ahead for AI, VR, NFTs, and more?

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Radar trends to watch: January 2022

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The Cloud in 2021: Adoption Continues

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Radar trends to watch: December 2021

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Radar trends to watch: November 2021

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The Quality of Auto-Generated Code

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Radar trends to watch: October 2021

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2021 Data/AI Salary Survey

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Radar trends to watch: September 2021

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Defending against ransomware is all about the basics

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Radar trends to watch: August 2021

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Thinking About Glue

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Radar trends to watch: July 2021

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Code as Infrastructure

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Radar trends to watch: June 2021

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DeepCheapFakes

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Radar trends to watch: May 2021

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AI Adoption in the Enterprise 2021

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NFTs: Owning Digital Art

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Radar trends to watch: April 2021

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The Next Generation of AI

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Radar trends to watch: March 2021

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Product Management for AI

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5 infrastructure and operations trends to watch in 2021

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The Wrong Question

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Radar trends to watch: February 2021

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Where Programming, Ops, AI, and the Cloud are Headed in 2021

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Patterns

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Radar trends to watch: January 2021

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What is functional programming?

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Radar trends to watch: December 2020

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Multi-Paradigm Languages

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Radar trends to watch: November 2020

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AI Product Management After Deployment

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AI and Creativity

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Radar trends to watch: October 2020

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Pair Programming with AI

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Radar trends to watch: September 2020

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An Agent of Change

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The Least Liked Programming Languages

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Radar trends to watch: August 2020

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Bringing an AI Product to Market

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Power, Harms, and Data

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AI, Protests, and Justice

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Microservices Adoption in 2020

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Automated Coding and the Future of Programming

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Radar trends to watch: July 2020

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COVID-19 and Complex Systems

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Machine Learning and the Production Gap

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Radar trends to watch: June 2020

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The Business of Open Source

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Practical Skills for The AI Product Manager

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When models are everywhere

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Radar trends to watch: May 2020

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On COBOL

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How data privacy leader Apple found itself in a data ethics catastrophe

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Radar trends to watch: April 2020

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Governance and Discovery

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What you need to know about product management for AI

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Radar trends to watch: March 2020

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The death of Agile?

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Radar trends to watch: February 2020

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AI meets operations

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Radar trends to watch: January 2020

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Rethinking programming

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The road to Software 2.0

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Radar trends to watch: December 2019

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A 5G future

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A world of deepfakes

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Radar trends to watch: November 2019

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Quantum computing’s potential is still far off, but quantum supremacy shows we’re on the right track

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Defusing propaganda feedback loops on the social web

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Radar trends to watch: October 2019

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TinyML: The challenges and opportunities of low-power ML applications

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Radar trends to watch: September 2019

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How new tools in data and AI are being used in health care and medicine

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Machine learning requires a fundamentally different deployment approach

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Learning from adversaries

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The circle of fairness

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Maximizing paper clips

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How AI and machine learning are improving customer experience

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Toward the next generation of programming tools

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Looking Back on the O’Reilly Artificial Intelligence Conference

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Automating ethics

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Strata San Francisco, 2019: Opportunities and Risks

Content article
Specialized tools for machine learning development and model governance are becoming essential

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De-biasing language

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Changing contexts and intents

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Future of the firm

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What is O’Reilly Radar?

Content article
You created a machine learning application. Now make sure it’s secure.

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Reinforcement learning for the birds

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Rethinking informed consent

Content article
Deep automation in machine learning

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What we learn from AI’s biases

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The ethics of data flow

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A quick reminder on HTTPS everywhere

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Why we need to think differently about AI

Content article
Case studies in data ethics

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Data’s day of reckoning

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The five Cs

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Of oaths and checklists

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What machine learning means for software development

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Doing good data science

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AI’s desire

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Don’t let your ethical judgement go to sleep

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Steering around blockchain hype

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7 questions to ask before you launch an enterprise blockchain project

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Blockchain applications

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What is a blockchain?

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Building tools for the AI applications of tomorrow

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From USENET to Facebook: The second time as farce

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4 things business leaders should know as they explore AI and deep learning

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It’s time to rebuild the web

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Do no harm

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Getting the most from the AI Business Summit

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Why I won’t whitelist your site

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The working relationship between AIs and humans isn’t master/slave

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Machine learning tools for fairness, at scale

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Tips for jumpstarting your journey to developing AI apps

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The problem with building a “fair” system

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Can AI create a new game? A challenge.

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Who, me? They warned you about me?

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Ethics at scale

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Planning for AI

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The evolution of DevOps

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What if we build the internet we always wanted?

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Join the battle for the internet

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AI first—with UX

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What is Jupyter?

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What are machine learning engineers?

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The machine learning paradox

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Defensive computing

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On computational ethics

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Know-nothing authentication

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Are tablets the new laptops? Not yet.

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Artificial intelligence: Cooperation vs. aggression

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The ethics of face recognition

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The ethics of artificial intelligence

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Artificial creativity

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Where programming meets the real world

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How do you learn?

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To supervise or not to supervise in AI?

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What is Artificial Intelligence?

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Making revolutionary products without genetic engineering

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Where open source hasn’t won

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Learning from Tay

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The inherent clumpiness of randomness

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A poet does TensorFlow

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Learning from AlphaGo

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What passes for sharing these days

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The artist in the age of online media

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P-values not quite considered harmful

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Programming, oaths, and users

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A new infrastructure for biology

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Do one thing…

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Building an automated future

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Amazon, boredom, and culture

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Cultivate in Portland: Leadership, values, diversity

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Imagining a future biology

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To suit or not to suit?

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Flattening organizations

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BioBuilder: Rethinking the biological sciences as engineering disciplines

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Artificial intelligence?

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Cultivating change

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How Data Science Is Transforming Health Care

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What is DevOps (yet again)?

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Beyond lab folklore and mythology

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What is the Internet of Things?

Content article
Announcing BioCoder issue 6

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The computing of distrust

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The revolution in biology is here, now

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Uber is breaking bad

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Artificial intelligence: summoning the demon

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Overfocus on tech skills could exclude the best candidates for jobs

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Operations, machine learning, and premature babies

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The evolution of data products

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