5 Key Stories From The Digital Worlds

December 16

BY NABYL CHARANIA

1. 

AMAZON IS DELIVERING HALF ITS OWN PACKAGES AS IT BECOMES A SERIOUS RIVAL TO FEDEX AND UPS

  • accelerating its push to own the entire logistics chain and end its relationship with companies like FedEx and UPS
  • set to pass both FedEx and UPS in US package volume, with the company currently delivering 2.5 billion packages per year compared to FedEx’s 3 billion and UPS’s 4.7 billion
  • Amazon’s number doubled in just the last year alone, from delivering about 20 percent of all of its own packages to now about half

2. 

TIMELINE: BILLION-DOLLAR US FINTECH EXITS

  • In 2018, startups in the space raised more than $45B, a record amount, while Q3’19 fintech funding recently clocked in with a quarterly record of nearly $9B
  • Lending Club saw the highest-valued exit on our list, going public at a valuation of $5.4B in late 2014
  • The largest M&A deal on our list was Prudential’s acquisition of cloud-based insurtech company Assurance IQ, which was valued at up to $3.5B

3.  

GOOGLE’S COVERED A WHOPPING 10 MILLION MILES IN STREET VIEW IMAGERY

  • Steet View cars and other devices have been photographing the globe piece by piece for well over a decade now
  • more than 10 million miles of Street View imagery and 36 million square miles of Google Earth imagery
  • Google’s mapped out 98 percent of the parts of the world where people live with its aerial mapping service

4. 

LYFT LAUNCHES A CAR RENTAL SERVICE WITH NO MILEAGE LIMIT

  • launching a rental service available in its main smartphone app that will work pretty much just like traditional car rental companies
  • Both Uber and Lyft have also rented and leased cars to drivers on their platforms in the past
  • this is the most full-throated attempt from either company at taking a bite out of the rental car market

5. 

ALGORITHMIA: 50% OF COMPANIES SPEND OVER 3 MONTHS DEPLOYING A SINGLE AI MODEL

  • model deployment lifecycle needs to continue to be more efficient and seamless for ML team
  • At least 20% of companies of all sizes say their data scientists spend a quarter of their time deploying models, owing to pervasive scaling blockers
  • If your company is not currently [machine leraning]–minded, rest assured your competitors are, and the rate of AI’s development is bound to increase exponentially