AI Standardizing Real Estate Industries
Author | : Abebe-Bard Ai Woldemariam |
Publisher | : 1A |
Total Pages | : 0 |
Release | : 2024-01-12 |
Genre | : |
ISBN | : |
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Author | : Abebe-Bard Ai Woldemariam |
Publisher | : 1A |
Total Pages | : 0 |
Release | : 2024-01-12 |
Genre | : |
ISBN | : |
Author | : Bob Mather |
Publisher | : Abiprod Pty Ltd |
Total Pages | : 194 |
Release | : 2019-08-09 |
Genre | : Business & Economics |
ISBN | : 1795485655 |
The #1 Book on Artificial Intelligence in Real Estate Investing No matter which side of the real estate bubble you are on, you can clearly see the cut throat nature of the real estate industry. If you're renting or looking to buy a home, you see the rapid rise and fall in asset values; almost like gambling in a casino. It seems like a necessary evil if you have a family. At the same time, you see a lot of your friends and family default on loans; or even foreclose during the last recession. As a real estate agent or home owner, you're constantly worried about new how new Government regulation will affect your property/business. You struggle to find good clients (if you're in a remote location) or to select good clients (if you're in a big city). You're also trying to reduce long term damage; while maintaining your property in an efficient manner. This book has been written as a guide to future solutions to your problems in real estate. And Artificial Intelligence is the tool that can work for everyone involved. Artificial Intelligence is a new buzzword. Everyone is talking about it. It's been implemented effectively in a number of industries. Though it's been slow to get moving in the real estate industry, it has taken over certain aspects of the industry; and will grow rapidly in the next decade. Here's a few things you can learn from this book How the Real Estate Industry Has Evolved To Its Current State4 Different Ways Machine Learning can effectively Real Estate Property and Rental PricesWill AI replace real estate agents? The answer may suprose you4 Ways Real Estate Agents use Artificial Intelligence to improve maintenance and evaluate tenantsEfficient Artificial Intelligence Enhanced Marketing and Sales MethodsThe 3 Different Criteria Used by Machine Learning Algorithm to determine financing rates for tenants Even if you've never even thought about owning real estate, you will find useful information in this book
Author | : Steven Wasylkiw |
Publisher | : Magna Vita Publishing |
Total Pages | : 58 |
Release | : 2023-02-01 |
Genre | : Business & Economics |
ISBN | : |
The most comprehensive guide in the world for making money in real estate using artificial intelligence. Discover the secrets to boosting your real estate profits with the power of AI. You'll learn how to leverage cutting-edge technology to streamline your business and stay ahead of the competition. From finding the best properties to predicting market trends, this ebook shows you how AI can help you make smarter investment decisions and maximize your returns. Whether you're a seasoned real estate professional or just starting out, this guide is a must-read for anyone looking to stay ahead in today's fast-paced market. Don't miss out on the opportunity to revolutionize your business with the help of AI.
Author | : Ernie Braveboy |
Publisher | : Independently Published |
Total Pages | : 0 |
Release | : 2024-02-25 |
Genre | : Business & Economics |
ISBN | : |
Step into the future of real estate investment with "AI-Powered Real Estate: 2024's Guide to Automated Deal Finding." In an era where technology drives decisions, this groundbreaking guide is your key to unlocking the potential of artificial intelligence in transforming your approach to real estate. Gone are the days of manual searches and gut-feeling decisions. This book introduces you to the dynamic world of AI in real estate, where algorithms, predictive analytics, and machine learning lead the way in identifying hidden gems in the market. With this guide, you'll learn how to: Navigate the Latest AI Technologies: Understand the tools reshaping the real estate industry, from property valuation models to market trend analysis, and how you can apply them to your advantage. Spot Lucrative Opportunities: Discover how AI can unveil profitable deals by sifting through vast amounts of data, offering insights that were previously inaccessible to even the most seasoned investors. Make Data-Driven Decisions: Equip yourself with the knowledge to use AI in making informed choices, reducing risks, and maximizing returns on your investments. Stay Ahead of Market Trends: Learn how to anticipate market movements and adapt your strategies in real-time, keeping you one step ahead of the competition. "AI-Powered Real Estate: 2024's Guide to Automated Deal Finding" is more than just a book; it's a roadmap to success in the modern real estate market. Whether you're a seasoned investor, a real estate professional, or just starting out, this guide will empower you to leverage cutting-edge technology and uncover market treasures like never before. Don't miss out on the future of real estate investing. Embrace the power of AI and transform the way you find, evaluate, and secure the best deals. Get your copy today and start your journey towards becoming a tech-savvy real estate investor!
Author | : Ana Paula Cabral Seixas Costa |
Publisher | : Springer Nature |
Total Pages | : 214 |
Release | : 2022-05-12 |
Genre | : Computers |
ISBN | : 3031065301 |
This book constitutes the proceedings of the 8th International Conference on Decision Support Systems Technologies, ICDSST 2022, held during May 23-25, 2022. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main aim of this year’s conference is to investigate the role DSS and related technologies can play in mitigating the impact of pandemics and post-crisis recovery. The 15 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: decision support addressing modern industry; decision support addressing business and societal needs, and multiple criteria approaches.
Author | : G. Jason Goddard |
Publisher | : Routledge |
Total Pages | : 264 |
Release | : 2021-12-15 |
Genre | : Business & Economics |
ISBN | : 1000508641 |
Real Estate Valuation: A Subjective Approach highlights the subjective valuation components of residential and commercial real estate, which can lead to a range of acceptable property value conclusions. It discusses the causes of housing booms and goes in depth into the heterogeneity of commercial real estate property valuation via examples from owner-occupied, multifamily residential, hotel, office, retail, warehouse, condo conversion, and mortgage-backed security areas of real estate. Other topics explored include the role of machine learning and AI in real estate valuation, market participant value perceptions, and the challenge of time in the valuation process. The primary theoretical basis for the range of acceptable values and the subjectivity of property valuation focuses on the work of G.L.S. Shackle from the Austrian School of Economics. This illuminating textbook is suitable for undergraduate and master’s students of real estate finance, and will also be useful for practitioners in residential and commercial real estate.
Author | : Bo Hu |
Publisher | : Springer Nature |
Total Pages | : 101 |
Release | : 2022-12-09 |
Genre | : Computers |
ISBN | : 3031235010 |
This book constitutes the proceedings of the 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 4 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The 2022 International Congress on Big Data (BigData 2022) aims to provide an international forum that formally explores various business insights of all kinds of value-added "services". Big Data is a key enabler of exploring business insights and economics of services.
Author | : El Bachir Boukherouaa |
Publisher | : International Monetary Fund |
Total Pages | : 35 |
Release | : 2021-10-22 |
Genre | : Business & Economics |
ISBN | : 1589063953 |
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Author | : Gianluca Mattarocci |
Publisher | : Springer Nature |
Total Pages | : 147 |
Release | : 2022-10-22 |
Genre | : Business & Economics |
ISBN | : 3031167317 |
This book is intended to guide researchers interested in the world of innovation in real estate finance linked to technology and provide new evidence on classifying and evaluating the performance of PropTech companies. Chapters will deal with the evolution of PropTech, possible business models, negotiation and property management tools, new property financing tools (p2p lending and crowdfunding), the market and the balance sheet analysis of PropTech companies in Europe. A valuable resource for researchers studying the real estate industry, this book is also relevant to those studying FinTech and the impact of technology on industry more broadly. It can also be of use to professionals in the real estate industry, looking for a cutting edge research-based study on PropTech.
Author | : Chayakrit Krittanawong |
Publisher | : Elsevier |
Total Pages | : 550 |
Release | : 2023-09-29 |
Genre | : Computers |
ISBN | : 0443156891 |
Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics compiles current research on Artificial Intelligence within medical subspecialties, helping practitioners with diagnosis, clinical decision-making, disease prediction, prevention, and the facilitation of precision medicine. The book defines the basic concepts of big data and AI in medicine and highlights current applications, challenges, ethical issues, and biases. Each chapter discusses AI applied to a specific medical subspecialty, including primary care, preventive medicine, general internal medicine, radiology, pathology, infectious disease, gastroenterology, cardiology, hematology, oncology, dermatology, ophthalmology, mental health, neurology, pulmonary, critical care, rheumatology, surgery, and OB-GYN. This is a valuable resource for clinicians, students, researchers and members of medical and biomedical fields who are interested in learning more about artificial intelligence technologies and their applications in medicine. Provides the history and overview of the various modalities of AI and their applications within each field of medicine Discusses current AI-based medical research, including landmark trials within each field of medicine Addresses the current knowledge gaps that clinicians commonly face that prevent the application of AI-based research to clinical practice Encompasses examples of specific cases and discusses challenges and biases associated with AI