Tag: AI4business

Artificial Intelligence in Real Estate

While many industries have benefited from Artificial Intelligence, Real Estate is essentially a virgin territory to apply AI. This blog post will show you how you can transform Real Estate with AI, the key consumers of these solutions, and the challenges the industry faces in its adoption. Suppose you are running a Multiple Listing Service, […]

Written by on Feb 7, 2023

Our vision of AI in Financial Services

In recent years, the financial services industry has been innovating technologically, supported by a complex ecosystem including banks, financial service providers, and start-ups (link). Within this blogpost, we showcase our vision of AI in Financial Services. AI in Financial Services From our point of view, we can group use cases in AI in three distinct […]

Written by on Dec 12, 2022

Insights from UPTEC NON STOP

Last month, we participated in UPTEC NON-STOP, an event celebrating the 15th anniversary of UPTEC. UPTEC is the Science and Technology Park at the University of Porto, where businesses and academia meet to exchange ideas. During the event, local startups incubated at UPTEC (NILG.AI included), and French startups promoted by Accelerateur M pitched their business to […]

Written by on Nov 7, 2022

Insights from Hands on Data conference 2022

📢 Last month, we attended the Hands On Data (HOD) conference in Bochum, Germany. NILG.AI was one of the startup exhibitors, and we exchanged many ideas with other companies and participants 🤗. As part of the “European Data Resilience” panel, we shared the stage with Prof. Viktor Mayer-Schoenberger (University of Oxford), Martin Wibbe (Materna Information & Communications SE), Christian Temath (KI.NRW , Fraunhofer IAIS), and Sarah Yvonne […]

Written by on Oct 25, 2022

A new era has arrived for NILG.AI

Happy birthday! Today is NILG.AI’s fourth anniversary. Happy birthday to us! For most humans, birthdays are a synonym for getting older and leaving the good days of the youth behind. For companies, they are a moment to reflect on everything we achieved, recognize how far we have come, and envision how far we will go. […]

Written by on Sep 5, 2022

Multiple Product Forecasting in the construction industry

In this article, we will cover a use case in the construction industry related to forecasting the needed materials for construction and the time in which they will be required. In the construction industry, there is a lot of uncertainty between the order time and the time in which it is actually executed, due to […]

Written by on Nov 9, 2021

Food and Beverages: Reducing waste using AI

During recent years Artificial Intelligence has been applied to almost all domains and industries to improve or solve specific problems identified by humans. One example is the industry of Food and Beverages, where AI models are being used for different purposes: Finances: by creating more predictable demand forecasts. Innovation: by suggesting new ingredients combination and […]

Written by on Oct 1, 2021

Insights in AI applied to Credit Scoring

Having access to liquidity has been a major issue for humankind for financing both personal life aspects (e.g., housing, cars, college) and for business initiatives (e.g., starting, growing, and expanding a business). The amount of uncertainty that both faces of this exchange – i.e., the creditor and the prospective debtor – face are paramount. On […]

Written by on Jul 27, 2021

NILG.AI among winners of the DataHub Ruhr Open Innovation call

We are proud to announce that NILG.AI was among the winning startups of the 4th open call for the DataHub Ruhr. DataHub Ruhr is an open innovation initiative that creates matchmaking opportunities between major corporations in the Ruhr area and global startups. In the 4th edition of this program, 8 challenges were proposed by 4 […]

Written by on Jul 17, 2021

Automated Valuation Models for Real Estate

When we decide to buy or rent a real estate (apartment, room, house, etc), one of the most important search criteria is the price. Its value depends mostly on characteristics, such as location, year of construction, number of rooms, area, central heating, etc. However, two properties with the same characteristics, for example, can be sold […]

Written by on Jun 14, 2021