Editorial

An executive’s guide to machine learning

An executive’s guide to machine learning

Machine learning is based on algorithms that can learn from data without relying on rules-based…

AMNOG revisited

AMNOG revisited

Until four years ago, Germany was one of very few Western countries where pharmaceutical companies…

Learning from Google’s digital culture

Learning from Google’s digital culture

For traditional companies, making the transition to thinking and acting digitally is easier said than…

Economic Conditions Snapshot, June 2015: McKinsey Global Survey results

Economic Conditions Snapshot, June 2015: McKinsey Global Survey results

Executives in emerging markets have grown less optimistic about the state of their home economies…

Thriving at scale

Thriving at scale

Gain full access to articles and reports, including those by McKinsey Quarterly and the McKinsey…

Novartis on digitizing medicine in an aging world

Novartis on digitizing medicine in an aging world

The global population is aging as life expectancy increases. That means not only is demand…

Lower oil prices but more renewables: What’s going on?

Lower oil prices but more renewables: What’s going on?

Not that long ago, the plunge in oil prices that has occurred over the past…

SoCal Tech

  • HomeHero Gets $23M For Senior Home Care Marketplace
  • Chrome River Finds $100M In Funding
  • Cast & Crew Acquired by Silver Lake

An executive’s guide to machine learning

Machine learning is based on algorithms that can learn from data without relying on rules-based programming. It came into its own as a scientific discipline in the late 1990s as steady advances in digitization and cheap computing power enabled data scientists to stop building finished models and instead train computers to do so. The unmanageable…

An executive’s guide to machine learning

Gigaom: Apple’s bad September and the dangers of yearly release cycles

In hindsight, the trouble began in 2012. That’s when Apple moved OS X to the same yearly release cycle as iOS. Since OS X has always been the Peter that Apple robbed to pay Paul (the iOS release cycle), I was concerned Apple would be writing checks it couldn’t cash. Later that year, iOS 6…

Gigaom: Apple’s bad September and the dangers of yearly release cycles

Apple Music Is For People With No Clue What To Stream

You’re no DJ. That’s the biggest problem with streaming services. A search box connected to the history of recorded music can be discouraging. You constantly have to know what to play next. That’s why Apple was so smart to make Apple Music all about telling you what to play next. Apple is the king of…

Apple Music Is For People With No Clue What To Stream

HomeHero Gets $23M For Senior Home Care Marketplace

Santa Monica-based HomeHero, a new startup providing an online marketplace for in-home, senior care services, said Tuesday afternoon that it has raised $20M in a Series A funding round. The funding came from Graham Holding Company, along with Social+Capital Partnership, Tencent Holdings Limited and The Launch Fund. The funding comes on top of an earlier,…

Gigaom: Apple’s bad September and the dangers of yearly release cycles

In hindsight, the trouble began in 2012. That’s when Apple moved OS X to the same yearly release cycle as iOS. Since OS X has always been the Peter that Apple robbed to pay Paul (the iOS release cycle), I was concerned Apple would be writing checks it couldn’t cash. Later that year, iOS 6…

TechCrunch

Apple Music Is For People With No Clue What To Stream

You’re no DJ. That’s the biggest problem with streaming services. A search box connected to the history of recorded music can be discouraging. You constantly have to know what to play next. That’s why Apple was so smart to make…

YouTube Brings 60fps Video Streams To Its Android And iOS Apps

Over the last few months, Google’s YouTube launched both 60fps video on the desktop and…

Here’s How To Use Siri Commands On iOS Devices With HomeKit Accessories

The first HomeKit accessories launched earlier this month, just ahead of Apple’s WWDC event (at…

Facebook’s Snapchatty New Photo Uploader Lets You Overlay Text And More

Face it. Your photos aren’t all that interesting. But Facebook’s going to help you jazz…

Taylor Swift Confirms 1989 Will Now Be On Apple Music

Taylor Swift has confirmed on Twitter that after Apple decided to pay artists for music…

Apple Bans Games And Apps Featuring The Confederate Flag [Update: Some Games Being Restored]

Apple has now joined a host of merchants in removing the Confederate flag from its platform…

Editorial

AMNOG revisited

Until four years ago, Germany was one of very few Western countries where pharmaceutical companies…

Learning from Google’s digital culture

For traditional companies, making the transition to thinking and acting digitally is easier said than…

Economic Conditions Snapshot, June 2015: McKinsey Global Survey results

Executives in emerging markets have grown less optimistic about the state of their home economies…

Thriving at scale

Gain full access to articles and reports, including those by McKinsey Quarterly and the McKinsey…

Novartis on digitizing medicine in an aging world

The global population is aging as life expectancy increases. That means not only is demand…

An executive’s guide to machine learning

Machine learning is based on algorithms that can learn from data without relying on rules-based programming. It came into its own as a scientific discipline in the late 1990s as steady advances in digitization and cheap computing power enabled data…

SoCal Tech