10 Ways to Make Good Commercial Leasing Decisions

When you consider how important your office space is to the success of your company, you can't afford to make a hasty decision when it comes to your commercial lease. To ensure that you make the best possible decisions regarding office leases, follow these ten tips.

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Metrovacesa is a contemporary property developer. We build innovative and sustainable housing; unique and welcoming homes to live.

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Real Estate Technology, Asset Management

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

Article | May 30, 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 Technology

The Economic Slowdown and Its Impact on the Housing Market in 2022

Article | July 12, 2022

A survey by CNBC revealed that only 24% of survey participants thought the economic conditions in the country were good in 2021. Down from 50% in 2019, Americans are losing confidence in the economy fast, which has largely impacted the housing market. The COVID-19-led recession is still getting heated, and the Federal Reserve attempted to assuage these concerns with its commitment to bringing down inflation. However, this does bring up a myriad of possibilities for the housing and real estate industry. Here are some ways the economic slowdown might impact the housing market in 2022. An Increase in Bad Debts and Vacancy Rates The economic slowdown will no longer exacerbate layoffs, especially in the entertainment, hospitality, retail and education industries. Multifamily homes may experience an increase in vacancies, especially in areas where these industries are major employers. The intense supply chain disruption is bound to impact economies worldwide. Many tenants who work in these industries may be forced to look for cheaper housing, which will create an exponential increase in the vacancy rates. Additionally, since non-payment of rent constitutes a bad debt, there will be an increase in bad debt. Moreover, suitable new tenants might not be available to replace those who are evicted for bad debt due to unemployment. Exponential Demand for Local Equity There may be a bright side to the chaos caused by the economic slowdown. It will result in an increase in the internal capital flow for real estate. Owing to the fact that the real estate market is considered a safer investment option, many stock investors will redirect their investments from the stock market to real estate. Local U.S. investors will put more money into multifamily properties, which can offset the dip in demand for multifamily real estate, leading to a stabilization in prices or avoiding a significant decline in property values. Dip in Commercial Real Estate Prices As foreign equity, which is continually searching to buy real estate in the United States, encounters difficulties accessing U.S. markets, we will observe a decline in the price of commercial real estate. Foreign investors can demand greater prices for multifamily properties since their expectations are often significantly lower than those of domestic investors. The demand for multifamily buildings will decrease as foreign investments in the American market fall, leading to reduced pricing. Bringing it Together The recession brings with it immense uncertainty. Despite this, the impact on the housing and real estate markets can be predicted by looking at historical patterns. The big picture is that buyers need to be cautious when investing but also consider the tremendous opportunity they can leverage during the recession.

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Real Estate Technology

Lockdowns To Push Back Spring Selling Season

Article | July 18, 2022

The spring selling season might be pushed back for a couple of weeks or even months as lockdowns restrict activity in some states and territories, according to CoreLogic. Prior to the COVID-19 pandemic, sales and listing turnouts typically rise from September to November. Over the ten years to December 2019, the growth in new listings during spring averaged 15.7% while sales hit 6.8%. CoreLogic head of research Eliza Owen said both sales and listings tend to be most seasonal in the capital cities, particularly in Sydney and the ACT. With the lockdowns, however, the in-demand locations might not witness the same level of activity this upcoming spring, which is only two weeks away. "Observing housing market performance through lockdowns reveals that both sales and listings volumes will fall through lockdowns," Ms Owen said. What can be learned from last year's Melbourne lockdown? The extended lockdown in Melbourne last year could provide a glimpse as to what could happen in this year's lockdowns. Melbourne was in lockdown from mid-July to late October. During the period, listings dropped consistently, hitting the lowest at 1,411 in the four weeks to September, which was 80.7% lower than the previous five-year average. There are several factors that contributed to the slowdown during the period. Aside from the obvious restrictions that have limited inspections and auctions to virtual sessions, the low levels of consumer confidence also dampened the overall market sentiment, with vendors being unsure whether they would get an optimal price for their properties. Mortgage repayment deferrals and other government support also contributed, as these prevented distressed sales. However, when restrictions in Melbourne got lifted by late October, there was a sudden shift in the market mood, with listings quickly recovering. "New listings volumes through December 2020 trended an average 40.4% higher than the previous five-year average, suggesting the spring selling season of 2020 was 'pushed back' into the final months of the year," Ms Owen said. Lockdowns to only postpone market activity Ms Owen said the trend in sales and listings through a lockdown indicate the relative stability of the economy and the housing market amid the COVID-19 pandemic. "This has meant that housing purchasing decisions were more likely to have just been postponed through lockdowns, rather than abandoned all together.” In fact, the muted sales activity through lockdowns actually led to an uplift in sales across Melbourne in December of 2020 and July 2021, a time when seasonally, sales volumes would usually be far more subdued. "There are tailwinds in place for housing market demand to suggest this may happen again; household savings rates remain elevated, new average mortgage rates continue to reach new record lows, and many government fiscal stimulus and broader institutional responses have been resurrected amid renewed lockdowns," Ms Owen said. Affordability might become a concern The consistent surge in prices across capital cities in recent months have already resulted in the inevitable constraints in affordability. CoreLogic's Hedonic Home Value Index in July showed a 1.6% gain in dwelling values, a retreat from the previous growth of 1.9%. Ms Owen said some support schemes that supported consumer sentiment, such as JobKeeper and HomeBuilder have already ended which could dampen the expected rebound in demand. The rising threat of the Delta variant of COVID-19 might also be a major headwind, as it could result in further lockdowns which will ultimately impact the incomes of Australian households. "With affordability constraints becoming a larger obstacle in the market, as well as the potential for tighter credit conditions further down the track, if buyer activity does not match the lift in listings we could see a gradual rebalancing between sellers and buyers," Ms Owen said.

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Real Estate Technology

Is Commute Time Becoming a Housing Factor?

Article | June 2, 2021

While many workers plan, at least according to recent surveys, to continue spending at least part of each week working from home, a shorter commute still seems to be holding increasing appeal. The National Association of Home Builders (NAHB ) says its first quarter Home Building Geography Index (HBGI) indicates not only a pandemic driven shift in construction to low density, low cost markets, but a rapid expansion in areas with the shortest commutes. Litic Murali, writing in NAHB's Eye on Housing blog, says workplaces are moving toward hybrid home/office work models which could affect 30 to 40 percent of the American workforce. This will give renters and buyers increased market power over their travel times and the ability to reduce both housing and transportation costs. The nationwide average commute is 26 minutes. Those counties in the bottom quintile (lowest 20 percent) have a commute time of 18 minutes or less while the commute in the highest quintile is 28 minutes. The data show that 36.2 percent of the U.S. population resides in the counties in that top slice. The HBGI indicates that the top two quintiles with the longest commutes together had 63.6 percent of single family building. However, growth was strongest in that bottom quintile with a four-quarter moving average annual growth of 22.2 percent.

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Metrovacesa is a contemporary property developer. We build innovative and sustainable housing; unique and welcoming homes to live.

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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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