COMMERCIAL REAL ESTATE TECH
- Artificial Intelligence
  Artificial Intelligence in Real Estate
  According to MITSloan Management Review 2018 Artificial Intelligence or AI in business gets real. So artificial intelligence in real estate is transforming the industry.
  The Potential in Real Estate Analytics
  Many real estate firms have long made decisions based on a combination of intuition and traditional, retrospective data. Today, a host of new variables make it possible to paint more vivid pictures of a location’s future risks and opportunities.
  Conventional analytical methods and data sources make it challenging to draw clear hypotheses and build robust business cases.
  At the same time, new and unconventional data sources are becoming increasingly relevant. Resident surveys, mobile phone signal patterns, and Yelp reviews of local restaurants can help identify “hyperlocal” patterns—granular trends at the city block level rather than at the city level.
  What’s possible with Artificial Intelligence
  To use machine learning algorithm data make it significantly easier to aggregate and interpret the not traditional real estate data. Traditional data have limited value to anticipate the future for e.g. developments regardless for residential or commercial. Advanced analytics can quickly identify areas of focus, then assess the potential of a given parcel with a predictive lens.
  What’s the impact of AI in Real Estate
  A successful data-driven approach can yield powerful insights. For instance combining traditional and not traditional data base can forecast rents for residential with an accuracies up to 90%.
  How to make it happen
  Building advanced analytics into a portfolio is no straightforward task. Collecting enough data to build accurate algorithms takes time. To face this challenge head-on, companies might begin by employing analytics in executing their most critical strategic imperatives, Or they use other resources i.e. ai applications from outside. Or a mix of both.
  beyond Commercial Real Estate will give you an orientation and share the latest insights and topics on artificial intelligence in real estate.
- Blockchain
- FinTech
- PropTech
- CRE Tech-Other Stories
Digital Impact
Market Pulse
- - Real Estate Tech - GPS
  - Commercial Real Estate - GPS
- Real Estate Tech – GPS
- Commercial Real Estate – GPS
Thrive Digital
Login | Sign up
- Log in | Sign up
- Newsletter – Sign up

Companies seek shared workspace despite ROI is difficult to prove | HAVARD BUSINESS REVIEW

Jürgen Schroeder, 29/10/2018 0 1 min read 27

Follow us

Personal Profile

Companies seek shared workspace despite ROI is difficult to prove | HAVARD BUSINESS REVIEW

About

Contact us

Follow us

Personal Profile

Companies seek shared workspace despite ROI is difficult to prove | HAVARD BUSINESS REVIEW

Why Companies Are Creating Their Own Coworking Spaces

Related posts

Understanding of the Co-Working market | PROPMODO

Next Concept by the We Company (WeWork) – Renting on demand by minutes | THE BUSINESS JOURNALS

The Evolution of Coworking – Take Advantage | CRETECH

Promise and Challenge of AI in the workplace | McKinsey

Are dangling amenities the answer to the growing shared work market | NYTIMES

The Dynamic within the Shared work Landscape | THEREALDEAL