From Jeff Bezos' Shareholder Letter, December 2017:
AWS – It’s exciting to see Amazon Web Services, a $20 billion revenue run rate business, accelerate its already healthy growth. AWS has also accelerated its pace of innovation – especially in new areas such as machine learning and artificial intelligence, Internet of Things, and serverless computing.
In 2017, AWS announced more than 1,400 significant services and features, including Amazon SageMaker, which radically changes the accessibility and ease of use for everyday developers to build sophisticated machine learning models. Tens of thousands of customers are also using a broad range of AWS machine learning services, with active users increasing more than 250 percent in the last year, spurred by the broad adoption of Amazon SageMaker.
If you're working in an office, here are some of the checklist items that might have been omitted from the job description:
- Add energy to every conversation
- Ask why
- Find obsolete things on your task list and remove them
- Treat customers better than they expect
- Offer to help co-workers before they ask
- Feed the plants
- Leave things more organized than you found them
- Invent a moment of silliness
- Highlight good work from your peers
- Find other great employees to join the team
- Cut costs
- Help invent a new product or service that people really want
- Get smarter at your job through training or books
- Encourage curiosity
- Surface and highlight difficult decisions
- Figure out what didn't work
- Start a club
- Smile a lot.
Now that it's easier than ever to outsource a job to someone cheaper (or a robot) there needs to be a really good reason for someone to be in the office. Here's to finding several.
(-Thanks again to Seth Godin.)
In 2017, AWS announced more than 1,400 significant services and features, including Amazon SageMaker, which radically changes the accessibility and ease of use for everyday developers to build sophisticated machine learning models. Tens of thousands of customers are also using a broad range of AWS machine learning services, with active users increasing more than 250 percent in the last year, spurred by the broad adoption of Amazon SageMaker.
