Procore Technologies, Inc. today kicks off Groundbreak 2024, the construction industry’s most innovative conference. Procore is unveiling Resource Management, the industry’s first all-in-one solution for comprehensive labour, equipment and materials tracking and planning, along with new AI-powered Scheduling and Safety tools that enhance efficiency and streamline safety management.
Bringing together industry leaders, innovators, and professionals, Groundbreak 2024 focuses on connecting construction through technology and people. More than 4,500 attendees will attend Groundbreak from over 35 countries to hear from Procore leaders, industry executives, and keynote speakers Emmitt Smith and Bear Grylls. Key announcements include:
Enhancing Productivity with Industry-Defining Integrated Resource Management Solution
Today Procore unveiled Resource Management, a new product category that enables contractors to manage labour, equipment, and materials in a unified, intelligent offering across the entire build lifecycle. Resource Management, generally available now, unlocks greater control, forecasting, and visibility to help contractors increase profit margins, reduce delays, and boost productivity.
To accelerate this capability, Procore has acquired Edmonton-based Intelliwave Technologies, a leading industry provider of intelligent materials management software. By combining Intelliwave’s materials solution SiteSense® with Procore’s existing labour and equipment capabilities, Resource Management delivers robust control over essential project resources. In addition, Procore AI Agents will further unlock value with automated risk detection and actions, delivering unprecedented levels of visibility into resource performance.
Across Procore’s unified, intelligent platform, Resource Management embeds with the existing Preconstruction, Project Execution, and Financials solutions for end-to-end visibility, accurate forecasting, and automated budget tracking. Powered by next-generation platform capabilities like Agents, Maps, and Scheduling, Resource Management allows users to visualize and manage resources on a map and coordinate the deployment of resources.
AI-Powered Safety and Scheduling Built for the Field
Procore also unveiled Scheduling, a new solution designed to provide smart scheduling, and will integrate directly with contract schedules and field data. Powered by Artificial Intelligence, Scheduling will proactively flag potential risks, helping ensure projects remain on time and within budget.
Announced today, Procore’s significantly expanded Safety solution will centralize safety tasks with new capabilities like pre-task plans, jobsite hazard analysis, certification tracking, onsite orientations, and toolbox talks. With deep integrations with Procore’s project management suite and wearable devices, Safety will help eliminate administrative overhead, while providing insights to promote better safety outcomes. With Safety, Procore helps ensure that everyone in construction returns home safely everyday.
Learn more about Groundbreak
Groundbreak offers over 85 breakout sessions aimed at helping industry professionals enhance their leadership, teamwork, and building skills. Procore will honor companies, projects, and individuals making a positive impact on the construction industry through the annual Groundbreaker Awards.
To watch the opening day of Groundbreak and gain access to sessions, register for Groundbreak Live.
On top of that, Procore also announced the launch of its Procore AI solutions. This includes its new AI-powered Agents, artificial intelligence platform capabilities designed to enhance project efficiency, improve decision-making, and enable smarter, faster, and more seamless workflows.
Procore AI, built on Procore’s unified, intelligent platform, is powered by Procore Agents, Insights, and Copilot. With Procore AI, customers can transform how teams collaborate, forecast, and execute projects. This will pave the way for a future where predictive insights and automated actions enhance efficiency and drive success in every project.
Procore Agents and Agent Studio Delivers Automated, Proactive Workflows
Available next year, Agents leverage AI to automate routine tasks, reduce manual workloads, and provide insights that allow construction professionals to focus on higher-value work. Across Procore’s platform, Agents will streamline complex processes like managing RFIs, scheduling, and submittals, which helps automate routine tasks and reduces administrative overhead. These new capabilities will support users and workflows across the full project lifecycle.
Agent Studio, coming in 2025, will allow users to customize Agents to meet their unique project requirements without any coding. This tool empowers contractors and owners to tailor AI-driven answers and automations for their business, unlocking a new era of efficiency where manual processes are replaced by trusted, customizable AI agents.
Procore Insights Helps Mitigate Project Risk to Improve Project Outcomes
Announced today, Insights is an AI-driven solution that helps users better understand project risk across their most-used workflows, including submittals, RFIs, and daily logs. Powered by Procore’s comprehensive construction dataset, Insights enables users to benchmark performance, predict potential challenges, and receive recommended actions to mitigate risks, which ultimately enables more informed decisions to help improve project outcomes. Insights will be generally available in early 2025.
Procore Announces Procore Copilot is Available Globally
Procore Copilot enables users to quickly retrieve information with instant access to key documents, summarize complex documents, and provide data-driven insights—saving time and improving productivity on jobsites.
For more information about Procore’s latest product innovations, visit here.
2025 Predictions by Cassius Rhue, Vice President, Customer Experience, SIOS Technology
Posted in Commentary with tags SIOS Technology on November 21, 2024 by itnerdHere are some 2025 Predictions by Cassius Rhue, Vice President, Customer Experience, SIOS Technology. This is what they see coming down the pipeline for 2025.
Real-Time Failover for AI-Powered Security Analytics – As AI-driven security analytics tools become standard for detecting and responding to threats, organizations will prioritize high availability to ensure these applications operate without downtime. Failover clustering will play a crucial role in maintaining continuous, real-time threat detection and response, preventing gaps in security coverage that could leave the enterprise vulnerable. By leveraging failover clustering, enterprises will mitigate risks and enable uninterrupted operation of their critical security monitoring and analytics tools.
Greater Adoption of Hybrid Cloud Failover Clustering – Enterprises will increasingly implement hybrid cloud architectures, combining on-premises data centers with public cloud platforms for failover clustering. This setup will ensure high availability and disaster recovery while offering flexibility and cost-effectiveness. Organizations will prioritize failover solutions that seamlessly bridge on-prem and cloud environments, allowing IT teams to leverage the cloud’s resilience without abandoning existing infrastructure.
Focus on Simplified, IT Generalist-Friendly Solutions – Many enterprises will invest in failover clustering solutions that are easier to manage, targeting the growing need for solutions that can be operated by IT generalists, not just clustering experts. With automation, simplified interfaces, and streamlined deployment, these clustering solutions will allow organizations to maintain high availability without the complexity typically associated with failover clustering—appealing particularly to small and medium-sized businesses looking to achieve enterprise-grade resilience.
Hyperconverged Infrastructure Takes Center Stage in Enterprise IT – Enterprises will increasingly migrate critical applications to hyperconverged infrastructures (HCI) to simplify management, cut costs, and enable dynamic scaling. HCI consolidates storage, compute, and networking, reducing the complexity of traditional systems. As IT leaders prioritize agility and resilience, HCI’s automation and reliability will present a strong alternative to traditional setups. This trend also aligns with growing demands for hybrid and multi-cloud flexibility, as HCI integrates seamlessly with public cloud providers.
Increased Reliance on Cross-Region, Multi-Cloud Failover Clustering – To achieve stronger resilience against regional outages, enterprises will adopt cross-region and multi-cloud failover clustering strategies. These setups will allow critical applications to failover seamlessly across different cloud regions or cloud providers, ensuring continuity even in cases of large-scale disruptions. This trend will drive demand for clustering solutions capable of handling complex, geographically distributed infrastructures and automating failover processes across subnets and cloud regions with minimal manual intervention.
High Availability for Zero Trust Security Architectures – With enterprises continuing to adopt Zero Trust architectures, there will be a growing emphasis on ensuring that security applications supporting Zero Trust (e.g., identity and access management, endpoint protection, and authentication systems) remain highly available. Failover clustering will become essential for these applications to operate without interruption, allowing enterprises to enforce continuous security measures and authentication processes even during maintenance or unexpected system issues.
Always-On Monitoring: The Future of Automated High Availability Clustering for APM – High availability (HA) clustering with Application Performance Monitoring (APM) tools will become more streamlined and automated, making it easier to maintain continuous monitoring without disruptions. HA clustering solutions will feature improved integration with APM platforms, offering seamless failover, predictive analytics for proactive issue resolution, and reduced setup complexity. Users can expect more self-healing capabilities, where clusters can detect and address performance issues automatically, minimizing manual intervention and ensuring that critical monitoring remains active around the clock.
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