Program Details

In this opening segment, our conference chairs, Sunder Pappu and Wayne Campbell, will welcome the attendees and encourage you to open your minds, engage in thoughtful discussions and actively participate in shaping the future of real estate through artificial intelligence.

The convergence of GenAI and the real estate industry presents an unprecedented opportunity. GenAI, with its unique capabilities, promises profound societal and industry impact, potentially creating a strategic divide between adopters and laggards. Seizing the opportunity is not just about technology – it requires operating model evolution that spans across data, people, and processes. GenAI complements traditional AI, expanding the realm of value creation. While the potential is vast, it's essential to acknowledge the existing risks on the path to GenAI's full maturity. In this session, Alex Wolkomir at McKinsey & Company provides a high-level introduction to generative AI. He will outline its relevance and discuss use cases for the real estate industry, closing with perspectives on how to get started on a path to value creation.

Artificial Intelligence (AI), first discussed in 1956, caught the attention of the world in late 2023. An organization that has been paying close attention to AI and other strategic technologies as it relates to the competitiveness of the United States, is the Special Studies Competitive Project (SCSP). Founded by Eric Schmidt, former CEO and Chairman of Google and modeled after Nelson Rockefeller’s Special Studies Project, SCSP is focused on aligning business, academia and the government on important emerging technologies including AI. Liza Tobin, Senior Director for the Economy and David Chee, Director for the Economy will present the findings of SCSP’s groundbreaking report, Generative AI: The Future of Innovation Power.

The proliferation of AI use cases for the built environment reflects growing recognition of AI’s potential to enhance business processes and building operations. As AI technology evolves, we are discovering new applications for commercial and corporate real estate. This session showcases innovative use cases and case studies demonstrating the tangible benefits of AI in enhancing business enterprises, optimizing smart facilities and transforming workplaces.

Case Study | Deloitte & Columbia University. The development and use of effective AI applications require a close collaboration between the business side and the technical side. For the last two years, Columbia University's Center for Artificial Intelligence in Business Analytics and FinTech has worked closely with Deloitte's Real Estate Strategy & Sustainability group to better understand the corporate real estate management process and begin to develop descriptive, predictive and prescriptive analytics systems to streamline and improve corporate real estate management decisions. this presentation will take an objective look at the AI development process, required stakeholders, challenges, and the immense potential of advanced analytical tools in the real estate industry.

Artificial intelligence (AI) will make or break industries and companies over the next decade, and most organizations have devised strategies to harness AI for a competitive advantage. Yet, a big question hangs over that strategy: Will it work? In this session, Arun Chandrasekaran will identify the key risks and roadblocks to a successful AI implementation, the best ways to overcome them and how to best incorporate generative AI as you turn your strategy into reality. He will help determine the right approach to deploy generative AI consistently in your organization and identify the top risks to deploying AI and how to mitigate them.

Respondents to a recent JLL survey pointed to artificial intelligence and generative AI as the technologies expected to have the greatest impact on real estate over the next three decades. This segment features a conversation between JLL’s Chief Technology Officer, Yao Morin, and JLL Spark’s Managing Partner, Raj Singh, who will provide valuable insights into the future of the built environment powered by AI, highlighting the role of generative AI specifically. They will also talk about the role of technology-first leaders in guiding the industry toward the full potential of CRE data and AI.

Artificial Intelligence (AI) represents the development of computer systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and the nuances of language. The outlook for AI is promising, with growing applications across all industries. Advancements in neural networks and deep learning have led to the recent introduction of generative pre-trained transformer (GPT) models. These GPTs have fueled rapid progress, enabling AI to improve efficiency, decision-making and innovation. Regulatory challenges, as well as ethical and societal concerns such as bias and privacy, however, require careful consideration as AI impacts everyday life. In this opening session, leading innovators from general tech and our industry will share their vision, highlighting key trends, challenges and opportunities.

A well-constructed, holistic data architecture is the foundation for organizations seeking to leverage data effectively for strategic insights and innovation. It ensures data quality, accessibility, security and scalability, supporting current operational needs while also accommodating growth and technological advancements. In this instructive session, panelists will explore the components of a meticulously designed framework allowing organizations to collect, store, process and manage data effectively to fuel advanced analytics and AI applications. Integration of disparate data sources enabling seamless data flow; data governance and compliance measures; ensuring data integrity and regulatory adherence will all be addressed. Discover the crucial role that data plays in the success of AI initiatives within commercial and corporate real estate.

An AI governance framework is imperative for cultivating a culture of responsible, compliant and trustworthy AI adoption, safeguarding an organization's reputation and ensuring the seamless and effective integration of AI technologies. It defines roles and responsibilities, establishes processes for data handling and model assessment and incorporates mechanisms for bias confrontation. In this session, experts will guide you through the process of developing a structured set of policies, practices and procedures that ensure responsible, ethical AI deployment that aligns with legal standards. Strategies for risk mitigation, bias detection and the promotion of transparency in your AI initiatives will be covered.

Building a proficient team capable of addressing AI applications in commercial and corporate real estate is imperative for organizations seeking to unlock AI's full potential, maintain competitiveness and effectively navigate these transformative technologies. A comprehensive approach to building an AI savvy workforce entails identifying the specific skills required, cultivating a culture of continuous learning, and attracting top talent. In this session, the presenter will discuss strategies for upskilling and acquiring talent in the AI field and equipping them with knowledge tailored specifically for real estate applications.

Microsoft is one of the leading enterprise computing companies in the world and has had a significant impact on innovation for decades. From cloud services to business productivity, their platforms are integral to modern business. Microsoft was also one of the pioneers of artificial intelligence (AI) that is capable of bringing this transformative technology to scale. Ajoy Bhattacharya, Senior Technology Strategist for Microsoft’s AEC Vertical will provide insight into OpenAI and Microsoft’s partnership, Responsible AI, CoPilot and Prompt Engineering. Ajoy will also dive into the world of Large Language Models (LLMs) and ChatGPT. Finally, he will discuss the use cases for AEC as well as the fundamental change management required to embrace AI.

The proliferation of AI use cases for the built environment reflects growing recognition of AI’s potential to enhance business processes and building operations. As AI technology evolves, we are discovering new applications for commercial and corporate real estate. This session showcases innovative use cases and case studies demonstrating the tangible benefits of AI in enhancing business enterprises, optimizing smart facilities and transforming workplaces.

Case Study | CBRE: Leveraging Data at Scale to Enable Business Transformation with AI. This executive briefing will cover the company’s AI strategy broadly across service lines and highlight a few early wins that CBRE has seen using this approach. The presentation will include lessons learned and future plans for their ongoing data / AI strategy. Sandeep Davé, Chief Digital & Technology Officer, CBRE, will introduce this dynamic session.

The proliferation of AI use cases for the built environment reflects growing recognition of AI’s potential to enhance business processes and building operations. As AI technology evolves, we are discovering new applications for commercial and corporate real estate. This session showcases innovative use cases and case studies demonstrating the tangible benefits of AI in enhancing business enterprises, optimizing smart facilities and transforming workplaces.

Case Study | Inland Real Estate Group. More info coming soon!

The proliferation of AI use cases for the built environment reflects growing recognition of AI’s potential to enhance business processes and building operations. As AI technology evolves, we are discovering new applications for commercial and corporate real estate. This session showcases innovative use cases and case studies demonstrating the tangible benefits of AI in enhancing business enterprises, optimizing smart facilities and transforming workplaces.

Case Study | Boxer Property. This demo shows an easy way to deploy sophisticated ML models using a combination of operational and financial data. Using the new Yardi Data Connect (YDC) and Azure ML in PowerBI is one of the fastest routes to leveraging artificial intelligence available to companies today.

The proliferation of AI use cases for the built environment reflects growing recognition of AI’s potential to enhance business processes and building operations. As AI technology evolves, we are discovering new applications for commercial and corporate real estate. This session showcases innovative use cases and case studies demonstrating the tangible benefits of AI in enhancing business enterprises, optimizing smart facilities and transforming workplaces.

Case Study | Aisera: Explore Generative AI Use-Cases and its Impact on CRE. Today, enterprises have options to create LLMs or acquire turn-key Generative AI solutions like an AI Copilot. This case study shares how to navigate critical decisions encompassing the build-versus-buy dilemma, scalability concerns, trust and transparency considerations, all while future-proofing strategy and achieving optimal ROI. Also, explore how MicroLLms enable an AI Copilot to auto-resolve requests and perform enterprise-wide searches with a high degree of accuracy.

The proliferation of AI use cases for the built environment reflects growing recognition of AI’s potential to enhance business processes and building operations. As AI technology evolves, we are discovering new applications for commercial and corporate real estate. This session showcases innovative use cases and case studies demonstrating the tangible benefits of AI in enhancing business enterprises, optimizing smart facilities and transforming workplaces.

Case Study | When AI is Watching: Spaces are Safer and Insights are Uncovered. Protecting people and assets is stifled by human and technological limitations. Disparate, non-intuitive solutions hinder risk mitigation and push companies into recurring cycles of expensive upgrades. Learn how AI-powered computer vision intelligence is solving these limitations at the core of physical security, while opening insights into new areas such as office occupancy and parking lot usage.

The proliferation of AI use cases for the built environment reflects growing recognition of AI’s potential to enhance business processes and building operations. As AI technology evolves, we are discovering new applications for commercial and corporate real estate. This session showcases innovative use cases and case studies demonstrating the tangible benefits of AI in enhancing business enterprises, optimizing smart facilities and transforming workplaces.

Case Study | Use Cases of ChatGPT for Workplace at Visa. There’s a lot of buzz about generative AI, but can it really be used by a corporate real estate team? The answer is yes. Real examples used in Visa’s Corporate Services team will be shared. From generated content that clarifies flexible/fixed seating benefits and drawbacks to new information, definitions, and replacement terms for inclusive technology terminology, and more.

The proliferation of AI use cases for the built environment reflects growing recognition of AI’s potential to enhance business processes and building operations. As AI technology evolves, we are discovering new applications for commercial and corporate real estate. This session showcases innovative use cases and case studies demonstrating the tangible benefits of AI in enhancing business enterprises, optimizing smart facilities and transforming workplaces.

Case Study | AI-Driven Energy Efficiency: Data Center Power Optimization. Data center business is growing significantly; it is more important than ever to operate facilities efficiently to reduce utility costs and comply with carbon emission guidelines. To minimize the risk of manual trial-and-error optimizations that rely on individual wisdom, Aizen Foresight™ software was deployed to generate AI powered predictions for power utilization efficiency (PUE).

The proliferation of AI use cases for the built environment reflects growing recognition of AI’s potential to enhance business processes and building operations. As AI technology evolves, we are discovering new applications for commercial and corporate real estate. This session showcases innovative use cases and case studies demonstrating the tangible benefits of AI in enhancing business enterprises, optimizing smart facilities and transforming workplaces.

Case Study | Yellow.ai:From Hours to Minutes: Voice AI Transformation in e-W2 Form Delivery. Randstad, a global HR services titan, experienced delays of 4-24 hours in W-2 processing for its employees. The solution was to seamlessly integrate voice automation into existing contact center software, reducing that wait time to just five minutes using Yellow.ai’s DynamicNLP™ engine. It also enables round-the-clock support, human-like conversations, and accurate form resolution. The significant cost savings makes a compelling case for the potential of AI in the HR industry.