2010–2015
105 posts
2015 73
December 2015
- Investing in big data technologies
- How to think like a data scientist
- The artist in the age of online media
- Building a scalable platform for streaming updates and analytics
- P-values not quite considered harmful
- The current state of machine intelligence 2.0
- Programming, oaths, and users
- A new infrastructure for biology
- Graph databases are powering mission-critical applications
November 2015
- Exploring the process of insight generation
- Machine learning in the wild
- What to look for in a data scientist
- Choice bits from Next:Economy 2015, Day 2
- Jai Ranganathan on architecting big data applications in the cloud
- Choice bits from Next:Economy 2015, Day 1
- Big science problems, big data solutions
- Building systems for massive scale data applications
- Platform economies
- The five shouts of good programmers
- Optimizing between motivation and coordination
October 2015
- Escaping the superstar syndrome
- Do one thing…
- Turning big data into actionable insights
- Building an automated future
- Serving workers in the gig economy
- Stories, not transactions
- Beyond algorithms: Optimizing the search experience
- How intelligent data platforms are powering smart cities
- Resolving transactional access and analytic performance trade-offs
- Five principles for applying data science for social good
September 2015
- Contrasting architecture patterns with design patterns
- Being data-driven: It’s all about the culture
- On Leadership
- We’ve got this whole unicorn thing all wrong!
- Building enterprise data applications with open source components
- Improving Uber’s surge pricing
- Designing delivery: From industrialism to post-industrialism
- How on-demand logistics could save brick and mortar retail
- Amazon, boredom, and culture
- From search to distributed computing to large-scale information extraction
- A world of continous partial employment
August 2015
- The cloud-native future
- The rise of networked platforms for physical world services
- Imagining a future biology
- Streaming 101: The world beyond batch
July 2015
June 2015
- Innovation Nation – Megan Smith & Tim O’Reilly interview
- Will Planned Obsolescence Kill Silicon Valley?
- Building self-service tools to monitor high-volume time-series data
- An introduction to immutable infrastructure
- How the new hardware movement is even bigger than the Internet of Things
- Artificial intelligence?
May 2015
- Data science makes an impact on Wall Street
- The tensor renaissance in data science
- How Data Science Is Transforming Health Care
- Life: Sustainable, Programmable, Bottom-Up Manufacturing
April 2015
March 2015
February 2015
- Topic models: Past, present, and future
- Software engineers must continuously learn and integrate
- What is DevOps (yet again)?
January 2015
- Blockchain scalability
- What containers can do for you
- Striking parallels between mathematics and software engineering
- Understanding the blockchain
- Beyond lab folklore and mythology
- A brief look at data science’s past and future
- What is the Internet of Things?
- The Internet of Things has four big data problems
- The computing of distrust
2014 19
December 2014
- Apache Spark’s journey from academia to industry
- Physical and virtual are blurring together
- The revolution in biology is here, now
November 2014
- Uber is breaking bad
- The Internet of Things and Humans
- The infinite hows
- Artificial intelligence: summoning the demon
October 2014
September 2014
August 2014
July 2014
June 2014
April 2014
January 2014
2013 5
October 2013
September 2013
May 2013
April 2013
March 2013
2012 5
July 2012
- Overfocus on tech skills could exclude the best candidates for jobs
- The Clothesline Paradox and the Sharing Economy