IoT Machine Learning Real Estate 
TechCrunch
AUGUST 23, 2021
is on a mission to accelerate the decarbonization of buildings by using AI-generated efficiency savings to encourage electrification of commercial real estate — wooing buildings away from reliance on fossil fuels to power their heating and cooling needs. Y Combinator-backed Kapacity.io And Rauhala names the U.K.
CIO
OCTOBER 2, 2024
Cities are embracing smart city initiatives to address these challenges, leveraging the Internet of Things (IoT) as the cornerstone for data-driven decision making and optimized urban operations. According to IDC, the IoT market in the Middle East and Africa is set to surpass $30.2 Popular examples include NB-IoT and LoRaWAN.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO
AUGUST 16, 2022
Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems.
UruIT
AUGUST 22, 2021
Having spared no industry or individual, Commercial Real Estate (CRE) has also been impacted and the way tech has helped to accelerate this field in the midst of a global pandemic is compelling. AI-Driven Marketing and Machine Learning. IoT and Remote Access. Here’s our selection of top CRE trends in tech: .
CIO
JULY 20, 2023
These solutions leverage the latest advances in IoT and weighing scale and camera technologies to minimize or even eliminate friction, as they can precisely track the items customers add to their baskets and bill them when they exit the store. Moreover, investing more time with a product increases their familiarity with your brand.
Palo Alto Networks
APRIL 5, 2023
Artificial intelligence (AI) and machine learning (ML) are fundamentally shifting the way people work, express themselves, as well as how they get business done. Today, we stand on the precipice of a great transformation. In addition, it gives always-on monitoring for networks and applications, for proactive problem resolutions.
O'Reilly Media - Ideas
MARCH 24, 2020
On the machine learning side, we are entering what Andrei Karpathy, director of AI at Tesla, dubs the Software 2.0 Before you even think about sophisticated modeling, state-of-the-art machine learning, and AI, you need to make sure your data is ready for analysis—this is the realm of data preparation.
Expert insights. Personalized for you.
243 
Let's personalize your content