Home > Resources > Articles > POSITIVE CASH FLOW RENTAL PROPERTIES EXIST! HERE’S HOW TO FIND THEM

POSITIVE CASH FLOW RENTAL PROPERTIES EXIST! HERE’S HOW TO FIND THEM

There are people who believe that the days of finding positive cash flow rental properties are long gone and that beginner real estate investors may as well give up the search before they even start. Well, I am here to let you know that this isn’t true. Even though finding positive cash flow rental properties isn’t easy, it is possible. Positive cash flow investment properties do exist! Many investors prefer cash flow real estate investing to real estate investing for appreciation. This is because positive cash flow investments offer more upfront gains. This means that you will be able to pay all rental property expenses using rental income and still have profit. This is especially suitable for real estate investors who want to have extra cash to pay down debt and increase their equity so as to make room for further investment. However, many investors simply don’t know how to find positive cash flow properties.

Spotlight

Nothnagle Realtors

We're Rochester's #1 and Only Full Service Realty Firm. We sell homes throughout 15 counties in Western New York. We were founded by a real estate innovator and we continue to innovate and improve every year to better serve our agents and our clients. Our agents are among the most productive agents in the U.S. We excel at marketing properties in all media.

OTHER ARTICLES
Real Estate Investment, Asset Management

Utilizing your IRA to Buy and Sell Real Estate

Article | May 25, 2023

Self-directed IRAs are the less offered and lesser known of the IRA options. That’s simply because they’re seen as needing too much effort to utilize correctly. The truth is that self-directed IRAs aren’t as complicated as they’re made out to be. Especially if you have the right custodian who offers the services you need to successfully run your account. Similar to other IRA accounts, owners can still invest in stocks, bonds, and mutual funds. They can also invest in things like small businesses, boat slips, storage units, parking lots, land, and homes. Interested investors should seek legal advice, as well as input from an accountant and real estate agent for a well-rounded picture. They should also be familiar with the rules for the type of retirement account they’re using. Whether it is a Simple IRA, Roth or Traditional IRA, SEP IRA or Solo 401K, contribution limits still apply, and there are penalties for early withdrawals.

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Real Estate Advice, Asset Management

5 Ways to Build Wealth through Real Estate Investing

Article | May 9, 2023

When people talk about real estate investing, they often only talk about whether the value of the home goes up or down. While that may be true if your only investment was in your primary residence, it completely misses many strategies for creating wealth through investment properties. The fact is, there are five different ways owning investment real estate can help create wealth for you.

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Real Estate Technology, Asset Management

What is BIM and How Is It Changing the World of CRE?

Article | May 10, 2023

The construction industry has been slow to evolve, especially in the realm of commercial real estate (CRE). In many ways, the construction process is not dissimilar from how it was when the first skyscrapers were built. However, as technology begins to change various parts of the industry, especially how all stakeholders communicate, building information modeling (BIM) is playing a larger role. BIM stands for building information modeling, and it's essentially a way to create as detailed a model of a potential building as possible so that architects, developers, and construction managers can collaborate and answer questions before and during the construction process. The benefit of this is that all parties can share information and potentially avoid costly mistakes.

Read More
Real Estate Advice, Asset Management

A Guide to Measure Data-driven Real Estate Asset Management Services

Article | May 9, 2023

Explore the latest trends, tools, and strategies for optimizing data-driven real estate asset management services and achieving long-term success with a comprehensive guide to improving business ROIs. Contents 1 Importance of Data-driven Model for Real Estate Asset Management 2 Seven Steps to Measure Data-driven Asset Management 2.1 Defining the Purpose and Scope 2.2 Identifying the KPI 2.3 Determining the Sources 2.4 Collecting and Cleaning Data 2.5 Data Analysis 2.6 Performance Evaluation 2.7 Continuous Monitoring 3 Effectiveness Metrics for Data-Driven Asset Management 3.1 Occupancy Rate 3.2 Operating Expense Ratio 3.3 Tenant Retention Rate 4 Conclusion 1. Importance of Data-driven Model for Real Estate Asset Management As real estate technology continues to develop and become more cost-effective for both new and existing business structures, and as collaboration platforms, sensors, and smart devices continue to advance, the amount of data produced by commercial real estate assets is growing exponentially. This data can give real estate market participants like investors, asset managers, property managers, and tenants a competitive advantage and help them avoid disruption if they develop data-driven services and new business models centered on the specific needs of users, owners, or the property itself. However, only a concerted effort by all real estate stakeholders including builders, investors, owners, tenants, and service providers towards data-driven real estate asset management can optimize data to generate insights that improve performance and profitability. The significance of data-driven models in real estate asset management is growing as the models enable more informed decision-making and more efficient operations by collecting and analyzing data from various sources. Real estate asset managers can gain a greater understanding of the performance of their assets and make more informed management decisions. This can result in increased efficiency, profitability, and tenant satisfaction. 2. Seven Steps to Measure Data-driven Asset Management Measuring the effectiveness of data-driven real estate asset management services enables businesses to evaluate their current strategies and identify areas for improvement in the services they offer By following these steps to measure asset performance, processes, and activities, businesses can gain insights and make data-driven decisions to optimize performance and maximize returns. 2.1 Defining the Purpose and Scope The process of measuring data-driven real estate asset management services begins with a clear definition of the purpose and scope of the measurement. It involves conducting a comprehensive review of the business goals as well as identifying specific objectives and purposes for the strategies to develop a well-defined purpose and scope for measuring the effectiveness of asset management services. It helps to ensure that the real estate asset management services are aligned with the broader business strategy. 2.2 Identifying the KPIs Defining the purpose and scope of data-driven asset management is followed by identifying KPIs to measure success. It requires a clear understanding of critical areas of asset management and selecting quantifiable measures to define success factors and track progress. Choosing the right KPIs provides valuable insights into asset performance, enabling real estate executives and managers to make informed, data-driven decisions to optimize performance and maximize returns. 2.3 Determining the Sources Identifying the data type, including financial, property, market, and tenant, is essential to determine the sources for evaluating data-driven asset management services. After establishing the data requirements, the sources, such as internal systems and databases, third-party data providers, and publicly accessible data sources, are determined with data compliance and security as the determining factor. Determining sources ensures that the asset management data is trustworthy, current, and accurate, which impacts subsequent decision-making. This step provides the groundwork for data-driven decision-making. 2.4 Collecting and Cleaning Data Data collection and cleansing are essential for measuring data-driven asset management services. The collected data must be precise, exhaustive, and dependable for subsequent analysis and decision-making. The step involves validating the data for completeness and accuracy, eliminating errors, inconsistencies, and duplicates, and standardizing the data across all sources. The process identifies improvement opportunities, optimizing real estate asset management services for maximum efficiency and profitability. 2.5 Data Analysis Data analysis plays a critical role in measuring data-driven asset management services. After finalizing the data collection and cleaning step, the data is analyzed using various techniques such as statistical analysis, predictive modeling, and data visualization. These techniques help to identify trends, patterns, and relationships that provide insights into asset performance. Data analysis provides a more profound understanding of the performance of real estate assets, leading to improved efficiency, increased profitability, and enhanced tenant satisfaction. 2.6 Performance Evaluation Evaluation of data performance to comprehend improvements in the data-driven asset management services starts once the data is analyzed. The performance evaluation step involves comparing actual results to the established KPIs to determine whether the goals are being met or whether there are areas for improvement. It aids in identifying deviations from predetermined objectives and prompts and taking required corrective actions to realign with the business strategy. In addition, this step facilitates identifying improvement opportunities and ensures that real estate asset management services are optimized for maximum efficiency and profitability. 2.7 Continuous Monitoring Measurement of data-driven real estate asset management services ends with continuous monitoring. To ensure asset management strategies are working, continuously tracking and evaluating KPIs from earlier steps while identifying underperformance and improvement opportunities is involved in the last stage. Operation managers can make data-driven choices, identify risks and opportunities, and optimize asset management strategies for efficiency and profitability by monitoring real estate asset performance. In addition, it ensures that real estate asset management services remain effective over time and can adapt to market changes to maintain a competitive edge. 3. Effectiveness Metrics for Data-Driven Asset Management Effectiveness metrics for data-driven asset management services are the KPIs used to measure the success of data-driven strategies. These metrics help real estate executives and managers evaluate the performance of their assets and make data-driven decisions for maximum efficiency and profitability. 3.1 Occupancy Rate The occupancy rate is an essential metric in data-driven real estate asset management. This metric indicates the proportion of a property's rental units that are occupied at present. A higher occupancy rate suggests the property performs well, as more tenants occupy the units. Therefore, this metric can be used by real estate businesses to gauge the efficacy of their digital asset management strategies. 3.2 Operating Expense Ratio The operating expense ratio is used to evaluate a property's operational efficiency for data-driven asset management. It is calculated by dividing the operating expenses incurred by the property by the total rental income generated. It helps measure the proportion of income consumed by the expenses, such as maintenance costs, utilities, and commercial property management fees. A lower operating expense ratio indicates better cost control and efficient use of resources, resulting in increased profitability for the real estate asset. 3.3 Tenant Retention Rate In real estate asset management, the tenant retention rate is an essential metric that measures the proportion of tenants who choose to renew their lease agreements. It is an essential indicator of tenant satisfaction and the quality of property management services. A higher tenant retention rate indicates that tenants are satisfied with the property and management, resulting in a stable tenant base, lower vacancy rates, and decreased costs associated with tenant turnover. 4. Conclusion The significance of utilizing data-driven models for real estate asset management is rising due to digital real estate asset management, technological advancements, and the expansion of collaboration platforms, sensors, and intelligent devices. To gain a competitive edge and avoid disruption, stakeholders in the real estate industry must prioritize the development of data-driven services and innovative business models that cater to the unique needs of users, owners, and the property itself. In addition, the use of data-driven models can also lead to more efficient and informed decision-making, reducing costs along with increasing profits and improving real estate portfolio management.

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Real Estate Investment, Asset Management

10 Must Attend Commercial Real Estate Asset Management Events

Article | May 25, 2023

Self-directed IRAs are the less offered and lesser known of the IRA options. That’s simply because they’re seen as needing too much effort to utilize correctly. The truth is that self-directed IRAs aren’t as complicated as they’re made out to be. Especially if you have the right custodian who offers the services you need to successfully run your account. Similar to other IRA accounts, owners can still invest in stocks, bonds, and mutual funds. They can also invest in things like small businesses, boat slips, storage units, parking lots, land, and homes. Interested investors should seek legal advice, as well as input from an accountant and real estate agent for a well-rounded picture. They should also be familiar with the rules for the type of retirement account they’re using. Whether it is a Simple IRA, Roth or Traditional IRA, SEP IRA or Solo 401K, contribution limits still apply, and there are penalties for early withdrawals.

Read More
Real Estate Advice, Asset Management

A Guide to Measure Data-driven Real Estate Asset Management Services

Article | May 9, 2023

When people talk about real estate investing, they often only talk about whether the value of the home goes up or down. While that may be true if your only investment was in your primary residence, it completely misses many strategies for creating wealth through investment properties. The fact is, there are five different ways owning investment real estate can help create wealth for you.

Read More
Real Estate Technology, Asset Management

Overcome Digital Asset Management Challenges in Real Estate

Article | May 10, 2023

The construction industry has been slow to evolve, especially in the realm of commercial real estate (CRE). In many ways, the construction process is not dissimilar from how it was when the first skyscrapers were built. However, as technology begins to change various parts of the industry, especially how all stakeholders communicate, building information modeling (BIM) is playing a larger role. BIM stands for building information modeling, and it's essentially a way to create as detailed a model of a potential building as possible so that architects, developers, and construction managers can collaborate and answer questions before and during the construction process. The benefit of this is that all parties can share information and potentially avoid costly mistakes.

Read More
Real Estate Advice, Asset Management

A Guide to Measure Data-driven Real Estate Asset Management Services

Article | May 9, 2023

Explore the latest trends, tools, and strategies for optimizing data-driven real estate asset management services and achieving long-term success with a comprehensive guide to improving business ROIs. Contents 1 Importance of Data-driven Model for Real Estate Asset Management 2 Seven Steps to Measure Data-driven Asset Management 2.1 Defining the Purpose and Scope 2.2 Identifying the KPI 2.3 Determining the Sources 2.4 Collecting and Cleaning Data 2.5 Data Analysis 2.6 Performance Evaluation 2.7 Continuous Monitoring 3 Effectiveness Metrics for Data-Driven Asset Management 3.1 Occupancy Rate 3.2 Operating Expense Ratio 3.3 Tenant Retention Rate 4 Conclusion 1. Importance of Data-driven Model for Real Estate Asset Management As real estate technology continues to develop and become more cost-effective for both new and existing business structures, and as collaboration platforms, sensors, and smart devices continue to advance, the amount of data produced by commercial real estate assets is growing exponentially. This data can give real estate market participants like investors, asset managers, property managers, and tenants a competitive advantage and help them avoid disruption if they develop data-driven services and new business models centered on the specific needs of users, owners, or the property itself. However, only a concerted effort by all real estate stakeholders including builders, investors, owners, tenants, and service providers towards data-driven real estate asset management can optimize data to generate insights that improve performance and profitability. The significance of data-driven models in real estate asset management is growing as the models enable more informed decision-making and more efficient operations by collecting and analyzing data from various sources. Real estate asset managers can gain a greater understanding of the performance of their assets and make more informed management decisions. This can result in increased efficiency, profitability, and tenant satisfaction. 2. Seven Steps to Measure Data-driven Asset Management Measuring the effectiveness of data-driven real estate asset management services enables businesses to evaluate their current strategies and identify areas for improvement in the services they offer By following these steps to measure asset performance, processes, and activities, businesses can gain insights and make data-driven decisions to optimize performance and maximize returns. 2.1 Defining the Purpose and Scope The process of measuring data-driven real estate asset management services begins with a clear definition of the purpose and scope of the measurement. It involves conducting a comprehensive review of the business goals as well as identifying specific objectives and purposes for the strategies to develop a well-defined purpose and scope for measuring the effectiveness of asset management services. It helps to ensure that the real estate asset management services are aligned with the broader business strategy. 2.2 Identifying the KPIs Defining the purpose and scope of data-driven asset management is followed by identifying KPIs to measure success. It requires a clear understanding of critical areas of asset management and selecting quantifiable measures to define success factors and track progress. Choosing the right KPIs provides valuable insights into asset performance, enabling real estate executives and managers to make informed, data-driven decisions to optimize performance and maximize returns. 2.3 Determining the Sources Identifying the data type, including financial, property, market, and tenant, is essential to determine the sources for evaluating data-driven asset management services. After establishing the data requirements, the sources, such as internal systems and databases, third-party data providers, and publicly accessible data sources, are determined with data compliance and security as the determining factor. Determining sources ensures that the asset management data is trustworthy, current, and accurate, which impacts subsequent decision-making. This step provides the groundwork for data-driven decision-making. 2.4 Collecting and Cleaning Data Data collection and cleansing are essential for measuring data-driven asset management services. The collected data must be precise, exhaustive, and dependable for subsequent analysis and decision-making. The step involves validating the data for completeness and accuracy, eliminating errors, inconsistencies, and duplicates, and standardizing the data across all sources. The process identifies improvement opportunities, optimizing real estate asset management services for maximum efficiency and profitability. 2.5 Data Analysis Data analysis plays a critical role in measuring data-driven asset management services. After finalizing the data collection and cleaning step, the data is analyzed using various techniques such as statistical analysis, predictive modeling, and data visualization. These techniques help to identify trends, patterns, and relationships that provide insights into asset performance. Data analysis provides a more profound understanding of the performance of real estate assets, leading to improved efficiency, increased profitability, and enhanced tenant satisfaction. 2.6 Performance Evaluation Evaluation of data performance to comprehend improvements in the data-driven asset management services starts once the data is analyzed. The performance evaluation step involves comparing actual results to the established KPIs to determine whether the goals are being met or whether there are areas for improvement. It aids in identifying deviations from predetermined objectives and prompts and taking required corrective actions to realign with the business strategy. In addition, this step facilitates identifying improvement opportunities and ensures that real estate asset management services are optimized for maximum efficiency and profitability. 2.7 Continuous Monitoring Measurement of data-driven real estate asset management services ends with continuous monitoring. To ensure asset management strategies are working, continuously tracking and evaluating KPIs from earlier steps while identifying underperformance and improvement opportunities is involved in the last stage. Operation managers can make data-driven choices, identify risks and opportunities, and optimize asset management strategies for efficiency and profitability by monitoring real estate asset performance. In addition, it ensures that real estate asset management services remain effective over time and can adapt to market changes to maintain a competitive edge. 3. Effectiveness Metrics for Data-Driven Asset Management Effectiveness metrics for data-driven asset management services are the KPIs used to measure the success of data-driven strategies. These metrics help real estate executives and managers evaluate the performance of their assets and make data-driven decisions for maximum efficiency and profitability. 3.1 Occupancy Rate The occupancy rate is an essential metric in data-driven real estate asset management. This metric indicates the proportion of a property's rental units that are occupied at present. A higher occupancy rate suggests the property performs well, as more tenants occupy the units. Therefore, this metric can be used by real estate businesses to gauge the efficacy of their digital asset management strategies. 3.2 Operating Expense Ratio The operating expense ratio is used to evaluate a property's operational efficiency for data-driven asset management. It is calculated by dividing the operating expenses incurred by the property by the total rental income generated. It helps measure the proportion of income consumed by the expenses, such as maintenance costs, utilities, and commercial property management fees. A lower operating expense ratio indicates better cost control and efficient use of resources, resulting in increased profitability for the real estate asset. 3.3 Tenant Retention Rate In real estate asset management, the tenant retention rate is an essential metric that measures the proportion of tenants who choose to renew their lease agreements. It is an essential indicator of tenant satisfaction and the quality of property management services. A higher tenant retention rate indicates that tenants are satisfied with the property and management, resulting in a stable tenant base, lower vacancy rates, and decreased costs associated with tenant turnover. 4. Conclusion The significance of utilizing data-driven models for real estate asset management is rising due to digital real estate asset management, technological advancements, and the expansion of collaboration platforms, sensors, and intelligent devices. To gain a competitive edge and avoid disruption, stakeholders in the real estate industry must prioritize the development of data-driven services and innovative business models that cater to the unique needs of users, owners, and the property itself. In addition, the use of data-driven models can also lead to more efficient and informed decision-making, reducing costs along with increasing profits and improving real estate portfolio management.

Read More
MORE ARTICLES

Spotlight

Nothnagle Realtors

We're Rochester's #1 and Only Full Service Realty Firm. We sell homes throughout 15 counties in Western New York. We were founded by a real estate innovator and we continue to innovate and improve every year to better serve our agents and our clients. Our agents are among the most productive agents in the U.S. We excel at marketing properties in all media.

Related News

Real Estate Technology

SmartRent Launches Alloy SmartHome Hub+

Business Wire | January 25, 2024

SmartRent, Inc., the leading provider of smart home and property operations solutions for the rental housing industry, today announced the launch of Alloy SmartHome Hub+, the Company’s first thermostat with an integrated smart hub device developed under its Alloy SmartHome hardware brand. This innovative product, one of few on the market that integrates a thermostat with a smart hub device, operates on Z-Wave protocol and has less hardware to install and maintain. In addition to the built-in thermostat technology, Alloy SmartHome Hub+ establishes a single interface to control connected smart home devices, enabling users to turn off multiple lights in a home at once, remotely lock and unlock doors, receive alerts and automatically notify maintenance when a sensor detects a leak. “Alloy SmartHome Hub+, a device years in the making, is our latest solution that paves the way for the next generation of smarter living and working in rental housing,” said SmartRent CEO Lucas Haldeman. “Designed with our customers’ needs in mind, and inclusive of the feedback they’ve shared about the desire for less hardware, Alloy SmartHome Hub+ delivers sophistication and convenience, all while driving rent growth. Feedback from our beta pilot has been positive, and customer interest indicates eager demand to deploy this solution at scale. We are proud to bring Alloy SmartHome Hub+ to the market at large and to continue eliminating obstacles and easing implementation in the industry.” This high-value yet economical device builds upon existing SmartRent technologies by consolidating the hub hardware within a smart thermostat, which streamlines procurement, expedites installation and IoT setup. Alloy SmartHome Hub+ can be configured and paired with most HVAC systems and is compatible with smart locks, smart lights, leak sensors and other Z-Wave devices. About SmartRent Founded in 2017, SmartRent, Inc. is a leading provider of smart home and smart property solutions for the multifamily industry. The company’s unmatched platform, comprised of smart hardware and cloud-based SaaS solutions, gives operators seamless visibility and control over real estate assets, empowering them to simplify operations, automate workflows, benefit from additional revenue opportunities and deliver exceptional site team and resident experiences. SmartRent serves 15 of the top 20 multifamily owners and operators, and its solutions enable millions of users to live smarter every day.

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Real Estate Technology

EVORA Global Announces Acquisition of Metry

Business Wire | January 25, 2024

EVORA Global, a leading provider of tech-enabled sustainability solutions to the real asset industry, today announces its strategic acquisition of Metry, Europe’s number one platform for environmental data collection. The move will establish new standards in data excellence and technological innovation, delivering comprehensive data solutions for the global real estate and infrastructure investment industry. The acquisition signifies an improved level of data automation and quality for EVORA’s clients, achieved through direct connections to fiscal meters and hubs. This approach eliminates data gaps and reinforces the overall reliability of information provided into their analytics and content management platform, SIERA. EVORA's dedication to data quality and validation underscores the company's commitment to ensuring that all sustainability data is analytics-ready, combining external data sources with EVORA's expertise in regulations and carbon accounting, whilst simultaneously upholding the highest standards in the industry. Metry's customers will gain access to EVORA's expertise in setting strategy and implementing net-zero carbon initiatives in their real asset portfolios, broadening the value proposition available to them. This collaborative expertise - integrating human insights with advanced technology - is a testament to the forward-thinking approach of both companies. "We are thrilled to welcome Metry into the EVORA family," said Pradeep Menon, EVORA Global CEO. "This strategic acquisition marks a significant milestone in our journey to empower real asset investors with the tools and data needed to drive sustainable practices in the built environment. It will enable us to offer unparalleled services to our clients, solving for the climate challenge.” “This the perfect match,” said Magnus Hornef, Metry CEO and co-founder, who will be joining EVORA’s Executive Committee as Chief Data Officer. “We are enabling each other to make a bigger impact faster and I’m really excited about expanding our data collection capabilities to all of EVORA’s customers. It is a giant leap towards connecting every building with reliable data and automated collection.” About EVORA Global: EVORA Global is a premier sustainability advisor, providing comprehensive, industry-leading climate solutions for real asset investors. With over a decade of experience, EVORA is dedicated to addressing the climate challenge posed by the real asset industry, focusing on the needs of investors in the built environment. Its clients include many of the biggest names in global real estate, including Invesco Real Estate, Hines and M&G. Founded in 2011, the company now has over 200 staff and 150 clients. About Metry: Metry is the #1 platform for environmental data collection in Europe, with a primary focus on energy data. With over a decade of expertise, Metry empowers companies to develop and use energy-saving technologies and IoT solutions, contributing to real change for the environment. Currently serving over 200 companies in more than 10 countries, Metry is actively expanding internationally to offer full data collection coverage in Europe.

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Real Estate Technology

Cushman & Wakefield Collaborates with Microsoft to Enhance AI Technology Platform

Business Wire | January 25, 2024

Cushman & Wakefield, a global leader in real estate services, today announced the firm is working with Microsoft to deploy an advanced suite of artificial intelligence (AI) solutions. “We are committed to seamlessly integrating our people with the right technology and processes to enhance service offerings to our clients. Today’s launch of the use of Microsoft Azure OpenAI Service and Copilot for Microsoft 365 at Cushman & Wakefield again demonstrates our ability to pair robust technologies with market intelligence and expertise,” said Salumeh Companieh, Chief Information & Data Officer, Cushman & Wakefield. Since 2018, Cushman & Wakefield has been focused on aligning business, data, and operations. Results to date range from an 80% material reduction in operational cycle time, to a reduction of client supply chain costs via proprietary supply chain network optimization capabilities. Azure OpenAI Service Azure OpenAI Service is a cloud-based generative AI solution that offers customers a range of capabilities, including access to cutting-edge AI models, backed by the power of Azure. With Azure OpenAI Service, Cushman & Wakefield can benefit from the power of cloud computing, data analytics, and artificial intelligence to deliver innovative solutions for its clients and stakeholders. Azure OpenAI Service enables Cushman & Wakefield to create custom copilots that can enhance customer experience, improve operational efficiency, and increase competitive advantage. The platform enables developers to build, deploy, and manage AI solutions for various scenarios and domains. Some of the features of Azure OpenAI Service include machine learning, cognitive services, bot framework, computer vision, natural language processing, speech recognition and more. Microsoft Technology Centers Microsoft Technology Centers are facilities that provide immersive experiences and deep technical engagements in 50+ locations around the world. Microsoft Technology Center architects collaborate with academic, industry, and government partners to advance the state of the art in AI and create positive impact for society. The Microsoft Technology Center is providing Cushman & Wakefield with access to cutting-edge research, tools, and top specialists from Microsoft and its partners to develop powerful and adaptable applications that use AI features. It is also providing insight into various areas and problems that need AI solutions, with learning and improvement through feedback and advice. Copilot for Microsoft 365 Copilot for Microsoft 365 brings the power of next-generation AI, grounded in the user and company’s data, to Microsoft’s workplace productivity tools like Teams and Outlook and Word. It works alongside users to provide suggestions, summaries, generate, analyze and explore content and data across documents, presentations, spreadsheets, notes, chats, email, meetings, and more. Ensuring the safety and security of interactions with Generative AI is a crucial value driver for Cushman & Wakefield. Copilot for Microsoft 365 offers a high level of security for how the firm leverages GPT models, providing confidence that data is not exposed for training and does not leave the company’s ecosystem, thus safeguarding confidential information. “With this next generation of AI, we have a unique opportunity to accelerate innovation at Cushman & Wakefield and across commercial real estate,” said Laura Craig, General Manager, Data & AI, Microsoft. “We’re collaborating with Cushman & Wakefield to bring together AI advances that benefit from Microsoft Azure OpenAI Service and Copilot for Microsoft 365 to empower the firm’s professionals with new, AI-powered tools.” About Cushman & Wakefield Cushman & Wakefield is a leading global commercial real estate services firm for property owners and occupiers with approximately 52,000 employees in approximately 400 offices and 60 countries. In 2022, the firm reported revenue of $10.1 billion across its core services of property, facilities and project management, leasing, capital markets, and valuation and other services. It also receives numerous industry and business accolades for its award-winning culture and commitment to Diversity, Equity and Inclusion (DEI), Environmental, Social and Governance (ESG) and more.

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Real Estate Technology

SmartRent Launches Alloy SmartHome Hub+

Business Wire | January 25, 2024

SmartRent, Inc., the leading provider of smart home and property operations solutions for the rental housing industry, today announced the launch of Alloy SmartHome Hub+, the Company’s first thermostat with an integrated smart hub device developed under its Alloy SmartHome hardware brand. This innovative product, one of few on the market that integrates a thermostat with a smart hub device, operates on Z-Wave protocol and has less hardware to install and maintain. In addition to the built-in thermostat technology, Alloy SmartHome Hub+ establishes a single interface to control connected smart home devices, enabling users to turn off multiple lights in a home at once, remotely lock and unlock doors, receive alerts and automatically notify maintenance when a sensor detects a leak. “Alloy SmartHome Hub+, a device years in the making, is our latest solution that paves the way for the next generation of smarter living and working in rental housing,” said SmartRent CEO Lucas Haldeman. “Designed with our customers’ needs in mind, and inclusive of the feedback they’ve shared about the desire for less hardware, Alloy SmartHome Hub+ delivers sophistication and convenience, all while driving rent growth. Feedback from our beta pilot has been positive, and customer interest indicates eager demand to deploy this solution at scale. We are proud to bring Alloy SmartHome Hub+ to the market at large and to continue eliminating obstacles and easing implementation in the industry.” This high-value yet economical device builds upon existing SmartRent technologies by consolidating the hub hardware within a smart thermostat, which streamlines procurement, expedites installation and IoT setup. Alloy SmartHome Hub+ can be configured and paired with most HVAC systems and is compatible with smart locks, smart lights, leak sensors and other Z-Wave devices. About SmartRent Founded in 2017, SmartRent, Inc. is a leading provider of smart home and smart property solutions for the multifamily industry. The company’s unmatched platform, comprised of smart hardware and cloud-based SaaS solutions, gives operators seamless visibility and control over real estate assets, empowering them to simplify operations, automate workflows, benefit from additional revenue opportunities and deliver exceptional site team and resident experiences. SmartRent serves 15 of the top 20 multifamily owners and operators, and its solutions enable millions of users to live smarter every day.

Read More

Real Estate Technology

EVORA Global Announces Acquisition of Metry

Business Wire | January 25, 2024

EVORA Global, a leading provider of tech-enabled sustainability solutions to the real asset industry, today announces its strategic acquisition of Metry, Europe’s number one platform for environmental data collection. The move will establish new standards in data excellence and technological innovation, delivering comprehensive data solutions for the global real estate and infrastructure investment industry. The acquisition signifies an improved level of data automation and quality for EVORA’s clients, achieved through direct connections to fiscal meters and hubs. This approach eliminates data gaps and reinforces the overall reliability of information provided into their analytics and content management platform, SIERA. EVORA's dedication to data quality and validation underscores the company's commitment to ensuring that all sustainability data is analytics-ready, combining external data sources with EVORA's expertise in regulations and carbon accounting, whilst simultaneously upholding the highest standards in the industry. Metry's customers will gain access to EVORA's expertise in setting strategy and implementing net-zero carbon initiatives in their real asset portfolios, broadening the value proposition available to them. This collaborative expertise - integrating human insights with advanced technology - is a testament to the forward-thinking approach of both companies. "We are thrilled to welcome Metry into the EVORA family," said Pradeep Menon, EVORA Global CEO. "This strategic acquisition marks a significant milestone in our journey to empower real asset investors with the tools and data needed to drive sustainable practices in the built environment. It will enable us to offer unparalleled services to our clients, solving for the climate challenge.” “This the perfect match,” said Magnus Hornef, Metry CEO and co-founder, who will be joining EVORA’s Executive Committee as Chief Data Officer. “We are enabling each other to make a bigger impact faster and I’m really excited about expanding our data collection capabilities to all of EVORA’s customers. It is a giant leap towards connecting every building with reliable data and automated collection.” About EVORA Global: EVORA Global is a premier sustainability advisor, providing comprehensive, industry-leading climate solutions for real asset investors. With over a decade of experience, EVORA is dedicated to addressing the climate challenge posed by the real asset industry, focusing on the needs of investors in the built environment. Its clients include many of the biggest names in global real estate, including Invesco Real Estate, Hines and M&G. Founded in 2011, the company now has over 200 staff and 150 clients. About Metry: Metry is the #1 platform for environmental data collection in Europe, with a primary focus on energy data. With over a decade of expertise, Metry empowers companies to develop and use energy-saving technologies and IoT solutions, contributing to real change for the environment. Currently serving over 200 companies in more than 10 countries, Metry is actively expanding internationally to offer full data collection coverage in Europe.

Read More

Real Estate Technology

Cushman & Wakefield Collaborates with Microsoft to Enhance AI Technology Platform

Business Wire | January 25, 2024

Cushman & Wakefield, a global leader in real estate services, today announced the firm is working with Microsoft to deploy an advanced suite of artificial intelligence (AI) solutions. “We are committed to seamlessly integrating our people with the right technology and processes to enhance service offerings to our clients. Today’s launch of the use of Microsoft Azure OpenAI Service and Copilot for Microsoft 365 at Cushman & Wakefield again demonstrates our ability to pair robust technologies with market intelligence and expertise,” said Salumeh Companieh, Chief Information & Data Officer, Cushman & Wakefield. Since 2018, Cushman & Wakefield has been focused on aligning business, data, and operations. Results to date range from an 80% material reduction in operational cycle time, to a reduction of client supply chain costs via proprietary supply chain network optimization capabilities. Azure OpenAI Service Azure OpenAI Service is a cloud-based generative AI solution that offers customers a range of capabilities, including access to cutting-edge AI models, backed by the power of Azure. With Azure OpenAI Service, Cushman & Wakefield can benefit from the power of cloud computing, data analytics, and artificial intelligence to deliver innovative solutions for its clients and stakeholders. Azure OpenAI Service enables Cushman & Wakefield to create custom copilots that can enhance customer experience, improve operational efficiency, and increase competitive advantage. The platform enables developers to build, deploy, and manage AI solutions for various scenarios and domains. Some of the features of Azure OpenAI Service include machine learning, cognitive services, bot framework, computer vision, natural language processing, speech recognition and more. Microsoft Technology Centers Microsoft Technology Centers are facilities that provide immersive experiences and deep technical engagements in 50+ locations around the world. Microsoft Technology Center architects collaborate with academic, industry, and government partners to advance the state of the art in AI and create positive impact for society. The Microsoft Technology Center is providing Cushman & Wakefield with access to cutting-edge research, tools, and top specialists from Microsoft and its partners to develop powerful and adaptable applications that use AI features. It is also providing insight into various areas and problems that need AI solutions, with learning and improvement through feedback and advice. Copilot for Microsoft 365 Copilot for Microsoft 365 brings the power of next-generation AI, grounded in the user and company’s data, to Microsoft’s workplace productivity tools like Teams and Outlook and Word. It works alongside users to provide suggestions, summaries, generate, analyze and explore content and data across documents, presentations, spreadsheets, notes, chats, email, meetings, and more. Ensuring the safety and security of interactions with Generative AI is a crucial value driver for Cushman & Wakefield. Copilot for Microsoft 365 offers a high level of security for how the firm leverages GPT models, providing confidence that data is not exposed for training and does not leave the company’s ecosystem, thus safeguarding confidential information. “With this next generation of AI, we have a unique opportunity to accelerate innovation at Cushman & Wakefield and across commercial real estate,” said Laura Craig, General Manager, Data & AI, Microsoft. “We’re collaborating with Cushman & Wakefield to bring together AI advances that benefit from Microsoft Azure OpenAI Service and Copilot for Microsoft 365 to empower the firm’s professionals with new, AI-powered tools.” About Cushman & Wakefield Cushman & Wakefield is a leading global commercial real estate services firm for property owners and occupiers with approximately 52,000 employees in approximately 400 offices and 60 countries. In 2022, the firm reported revenue of $10.1 billion across its core services of property, facilities and project management, leasing, capital markets, and valuation and other services. It also receives numerous industry and business accolades for its award-winning culture and commitment to Diversity, Equity and Inclusion (DEI), Environmental, Social and Governance (ESG) and more.

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