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the original document and thereby delivers more accurate and With increasing resources being put into the research of deep
structured data. Reporting and forecasting suddenly become learning, the current use cases are just the beginning. Future
significantly easier and more accurate. trends in deep learning include great advancements in unsuper-
Automated data extraction also enables a fundamental change vised learning and models that learn from much less training. The
in the way enterprise resources planning (ERP) system data is implications are potential for even more powerful deep learning
managed and updated. By replacing time intensive, manual data techniques, and as a result an even more efficient management
aggregation exercises with an automated system, real estate or- of large, complex sets of real estate data and documents.
ganizations experience significant efficiencies while saving time Applying deep learning technologies to build innovative soft-
and cost. The results are also less error prone and the system can ware leads to faster and more efficient data and document man-
always be kept up to date via live linking. Newly accruing doc- agement. Through the application of this technology, corporate
umentation can simply be fed into the deep learning powered real estate management can move to structured data with direct
platform and will automatically be imported in the ERP system. access to the data source, creating actionable, valuable insights
Consequently, data accuracy and data quality can be improved to facilitate quick and data-driven decision-making.
significantly, while reducing the need for manual labor. Instead,
employees are allowed to focus more on truly value adding tasks Emilio Matthaei is CEO of LEVERTON. As a
such as analyzing and interpreting the data. passionate data strategist, entrepreneur, ex-banker and
researcher, Emilio revolutionizes how individuals work with
Identify key and missing information data and documents. LEVERTON develops and applies
Easy access to structured data can facilitate processes besides disruptive deep learning technologies to extract, structure and
reporting and forecasting. Regulatory changes can cause manage data from corporate documents in more than 20
extensive workloads and often require significant efforts to languages. The platform empowers corporations and investors to be more efficient
comply. This will become particularly relevant and helpful and effective with their data & document management. www.leverton.ai
when organizations need to tackle new reporting standards.
For example, the process of complying with the new IFRS/US
GAAP lease accounting standards, or the regulatory changes of
accounting for financial instruments, will be much easier with the
power of deep learning. THE LEADER IN SMART BUILDING SERVICES
Through reading and analyzing your documents, algorithms
can not only identify key data explicitly stated in a contract, CONSULTING ON OVER $2 BILLION IN NEW DEVELOPMENT
they can also identify data that is missing or incomplete. With CLIENTS WITH OVER 2 BILLION SQUARE FEET
deep learning, not every data point is looked at separately, but
the connections and relationships among them is taken into
consideration. This is possible due to the capabilities of so called Strategy & Design
recurrent neural networks. Simplified, this is a network with
memory; meaning the network remembers earlier inputs that Integration & Implementation
have been made. For example, in the case where a lease contract Building Cyber Protection
mentions an amendment, the system will remember this amend-
ment throughout reading the rest of the document. If the system
then cannot find the mentioned amendment, it will realize that
this document must be missing. The algorithms can flag this
issue automatically and by doing so, help you to identify relevant
missing information.

How can you benefit from deep learning capabilities? www.intelligentbuildings.com
In summary, deep learning technology can be leveraged
immensely to make the management of global real estate
portfolios faster, easier and more transparent. It can help
companies run analyses and reports on complete and accurate
data, and makes it easy to comply with regulatory changes such
as the new lease accounting standards. However, as it is still in its
early stages, many new innovations in this area are yet to come.

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