{"id":1004715936,"date":"2024-06-05T05:30:10","date_gmt":"2024-06-05T13:30:10","guid":{"rendered":"https:\/\/www.commercialsearch.com\/news\/?p=1004715936"},"modified":"2024-06-11T11:31:43","modified_gmt":"2024-06-11T19:31:43","slug":"best-practices-for-ai-and-data-integration-cre-leaders-weigh-in","status":"publish","type":"post","link":"https:\/\/www.commercialsearch.com\/news\/best-practices-for-ai-and-data-integration-cre-leaders-weigh-in\/","title":{"rendered":"Best Practices for AI and Data Integration: CRE Leaders Weigh In"},"content":{"rendered":"
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Find employees who specialize in mining and understanding data. Image by Thanakorn Lappattaranan\/iStockphoto.com<\/em><\/figcaption><\/figure><\/div>\n\n\n

Excel was the be-all and end-all for commercial real estate firms\u2019 analysts when making decisions to buy or sell, and when and where.<\/p>\n\n\n\n

But the onset of artificial intelligence, especially in the past few years, has many leading companies of all sizes rethinking and restructuring their research data analytics departments to meet technology\u2019s deeper and more efficient way of measuring data.<\/p>\n\n\n\n

It\u2019s not just hiring data scientists, but finding those with advanced skills in problem-solving, those who respectably understand all aspects of CRE\u2014from acquisitions to operations to market analysis.<\/p>\n\n\n\n

On top of that, companies are seeking employees whose skills include expertise with computer usage, hands-on knowledge of one or more programming languages and familiarity with building and customizing systems and automation possibilities.<\/p>\n\n\n\n

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READ ALSO:<\/strong> Special Report: Office Debt \u2013 The Underwater Mountain<\/a><\/p>\n\n\n\n

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By finding those with the optimal combination\u2014that also includes creativity and agility\u2014firms can thrive in this technological, innovation acceleration climate, according to a panel of CRE research and strategy professionals speaking on a recent podcast hosted by Lisa Flicker, head of real estate at Jackson Lucas. Other speakers included Sabina Reeves, head of insights and intelligence & chief economist, CBRE Investment Management; Umar Riaz, North America hospitality and leisure segment lead, Ernst & Young; Sabrina Unger, managing director, research and strategy, American Realty Advisors; and Erin Patterson, managing director & global co-head of research & strategy, real estate, Manulife Investment Management.<\/p>\n\n\n\n

\u201cWhen we think about managing change and human capital, we are always considering how to successfully integrate individuals with diverse skill sets and ensure that existing teams are upskilling to meet them at a high level,\u201d Flicker said. \u201cRecently, we have found that seamlessly weaving tech-savvy quants into existing research teams has become an art. Our most successful placements occur when leadership has developed deep trust internally.\u201d<\/p>\n\n\n\n

Riaz said that first, companies must get their data infrastructure right.<\/p>\n\n\n\n

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READ ALSO<\/strong>: Setting the Bar for Data Center Infrastructure<\/a><\/p>\n\n\n\n

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\u201cIn real estate, there are a lot of data that resides in different systems and the connective tissue is Excel, and Excel is not a very long-term strategy for having a data platform,\u201d he said.<\/p>\n\n\n\n

Reeves, who is based in London, has forbidden the use of Excel on her team for a while. She said hiring computer programmers\u2014those who can code\u2014is now table stakes.<\/p>\n\n\n\n

\u201cYou want people who are annalistic and who think in a \u2018quacky,\u2019 interesting kind of way,\u201d Reeves said. \u201cYou can\u2019t future-proof by hiring for what\u2019s useful in this moment, it needs to be for what could come in this world of incredibly rapid change.\u201d<\/p>\n\n\n\n

Unger emphasized that companies must figure out how to take raw output and data and translate it into something acceptable for the real estate staff and leadership. Making this difficult, she said, is that employees who have been at a company for 20 or 30 years, and who aren\u2019t used to using the tools of today, can become reluctant to use it when making deals.<\/p>\n\n\n\n

\u201cThey don\u2019t want to forego that decision power they have,\u201d Unger said. \u201cThere will be hesitation and it creates friction.\u201d <\/p>\n\n\n\n

When hiring a data scientist for the first time, the panel said, it\u2019s about developing trust with them, pulling the curtain back on the process, having transparency and showing conviction when acting on what comes from the data model.<\/p>\n\n\n\n

Companies need a person who can bring the data to life in a less technical way. \u201cDon\u2019t just stick them in the corner and say I don\u2019t know what they\u2019re doing,\u201d the panel advised.<\/p>\n\n\n\n

In some cases, the head of research can become the champion for the data scientist.<\/p>\n\n\n\n

\u201cIntegrating acquisitions and data science leaders into a cohesive team sometimes requires finding the right executive to serve as a ‘bridge’ or intermediary, effectively translating needs and abilities to achieve the desired outcome,\u201d Flicker said. \u201cSome companies that possess both senior data leadership talent and senior acquisitions talent have successfully created a bridge between the two.\u201d<\/p>\n\n\n\n

Thinking long-term<\/h2>\n\n\n\n

Many jobs related to AI didn\u2019t exist even a year ago, and this will continue because things will pop up along the way that we can\u2019t anticipate today, the panel said.<\/p>\n\n\n\n

\u201cWe have been using data scientists and quants for a while, but their skills have changed along the way,\u201d Reeves mentioned. Her department at CBRE includes 60 team members. \u201cThey have to be able to code, but you also have to upskill your current teams. From the CIO to the junior hires, they all have to have a connection to how we\u2019re putting data out and what our processes are.\u201d<\/p>\n\n\n\n

The latest AI tools, including generative AI, \u201care unleashing creativity for those who are literally prisoners to Excel and to the low-value repetitive work,\u201d Reeves continued.<\/p>\n\n\n\n

\u201cThese tools not only free up your time, but they also free up possibilities,\u201d she reasoned. \u201cBecause now, rather than your preconceived notions of what three or four data variables might have driven as outcomes, you can run try to run factor analysis over 1,000 or even over 10,000. It\u2019s quite liberating.\u201d<\/p>\n\n\n\n

Where to start digging<\/h2>\n\n\n\n

The panel said AI shouldn\u2019t be looked at solely as a research and strategy tool but as a corporate strategy. For companies first building a data analysis department, Riaz said they must start by asking what the data will be used for, what will it drive and what will it solve.<\/p>\n\n\n\n

\u201cThe value is not going to come from the data you have but the questions that you ask,\u201d he reasoned. \u201cYou have to ask creative questions.\u201d<\/p>\n\n\n\n

Reeves quipped a recent expression told to those who are first curious about AI\u2019s capabilities, \u201cIt is not data in and miracles out.\u201d<\/p>\n\n\n\n

According to Riaz, what is most compelling about CRE firms using AI today is how these new tools drive active management decisions such as how to maximize rent, how to maximize occupancy and how to do due diligence on prospective tenants more efficiently.<\/p>\n\n\n\n

\u201cAsset management decisions should be made quantitatively as much as possible, based on advanced data analytics that are available either on the buy side or sell side,\u201d he added.<\/p>\n\n\n\n

Firms want to use generative AI to make investment decisions, but they find that setting those algorithms is very complex, Riaz said, because their volume of data is much greater than before. He also mentioned that internal and external data is needed \u201cbecause you\u2019re trying to project business and consumer trends and then transfer those into real estate trends.\u201d<\/p>\n\n\n\n

Big company, little company<\/h2>\n\n\n\n

Many companies subscribe to the same third-party data sets, so that\u2019s no longer a differentiator.<\/p>\n\n\n\n

\u201cThe proprietary information from your portfolio will be the differentiator,\u201d Riaz said. \u201cUnequivocally you should not be sharing your own company data in public.<\/p>\n\n\n\n

The advantages of scale do not exclusively apply to larger companies regarding managing and using data.<\/p>\n\n\n\n

Riaz added that big companies have a much more difficult task ahead than smaller ones because the more complex these larger companies\u2019 comps are, the more disaggregated the current state of data will be.<\/p>\n\n\n\n

\u201cIf you\u2019re a smaller company, data is more defined,\u201d he said. \u201cYou don\u2019t have as many silos and the good thing is that the investment required to create these capabilities is quite achievable now.\u201d<\/p>\n\n\n\n

Unlike 10 years ago, there\u2019s a significant investment in cloud-based tools that can be used\u2014it\u2019s not an insignificant investment. Still, even for smaller real estate companies, it\u2019s highly accessible, he said. Large, more sophisticated organizations might also face a disadvantage in overall change management for their employees.<\/p>\n","protected":false},"excerpt":{"rendered":"

Applying artificial intelligence to decision-making does not simply mean \u201cdata in and miracles out.\u201d<\/p>\n","protected":false},"author":3568,"featured_media":1004716111,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[21808,21742,21787,51037],"tags":[33222,32789,35259,52419,52033],"class_list":["post-1004715936","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-featured","category-latest","category-technology","category-trends","tag-american-realty-advisors","tag-cbre","tag-ernst-young","tag-jackson-lucas-2","tag-manulife-investment-management"],"acf":[],"yoast_head":"\nBest Practices for AI and Data Integration: CRE Leaders Weigh In - Commercial Property Executive<\/title>\n<meta name=\"description\" content=\"A recent podcast sheds light on how integration of up-to-date tech can help commercial real estate dealmakers.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.commercialsearch.com\/news\/best-practices-for-ai-and-data-integration-cre-leaders-weigh-in\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Best Practices for AI and Data Integration: CRE Leaders Weigh In\" \/>\n<meta property=\"og:description\" content=\"A recent podcast sheds light on how integration of up-to-date tech can help commercial real estate dealmakers.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.commercialsearch.com\/news\/best-practices-for-ai-and-data-integration-cre-leaders-weigh-in\/\" \/>\n<meta property=\"og:site_name\" content=\"Commercial Property Executive\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/CPExecutive\" \/>\n<meta property=\"article:published_time\" content=\"2024-06-05T13:30:10+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-06-11T19:31:43+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.commercialsearch.com\/news\/wp-content\/uploads\/sites\/46\/2024\/06\/iStock-1492801310-Image-by-Thanakorn-Lappattaranan.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"900\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Richard Berger\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@cpexecutive\" \/>\n<meta name=\"twitter:site\" content=\"@cpexecutive\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.commercialsearch.com\/news\/best-practices-for-ai-and-data-integration-cre-leaders-weigh-in\/\",\"url\":\"https:\/\/www.commercialsearch.com\/news\/best-practices-for-ai-and-data-integration-cre-leaders-weigh-in\/\",\"name\":\"Best Practices for AI and Data Integration: CRE Leaders Weigh In - 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