An example computing system is configured to: (i) apply a first access permission setting that defines whether a party can access a data object associated with a multi-phase construction project during a first phase of the multi-phase construction project; (ii) determine that the multi-phase construction project has transitioned from the first phase to a second phase; and (iii) based at least on the determination that the multi-phase construction project has transitioned from the first phase to the second phase, apply a second access permission setting that defines whether the party can access the data object associated with the multi-phase construction project during the second phase of the multi-phase construction project, where the second access permission setting differs from the first access permission setting.

A computerized-method to conduct a staggered maintenance activity based on tenants' prioritization for tenants of a cloud-based Software as a Service (SaaS) platform contact-center, is provided herein. The computerized-method includes operating a Staggered-Maintenance-Activity (SMA) module. The SMA module includes: (i) selecting a plurality of tenants from the data store of one or more tenants, for a migration activity; (ii) allocating each tenant in the plurality of tenants for migration activity, to a maintenance-window of one or more maintenance-windows; (iii) prioritizing the allocated plurality of tenants to yield an ordered list of tenants, in each maintenance-window of the one or more maintenance-windows; (iv) operating a migration activity during each maintenance-window, of the one or more maintenance-windows, according to the yielded ordered list of tenants; and (v) sending a notification with details of each migration activity to a corresponding tenant administrator, to be displayed, via a display unit.

Disclosed are various approaches for detecting user availability. A work pattern can be generated based upon user activity data taken from various sources. A work pattern can be provided to an email client or another requesting service for predicted availability of a user.

Methods and systems are disclosed for dynamically conducting messaging campaigns, responsive to customer events. A set of parameters for a messaging campaign includes an initial schedule for providing a set of messages from a set of data objects. Responsive to a customer event associated with a first customer, an adjusted schedule is generated for providing the set of messages to the first customer. The adjusted schedule differs from the initial schedule in a timing for providing at least a first message, where the first message is scheduled to be provided at an adjusted timing proportionate to a time period between the customer event and a first milestone event. The first message is generated from a first data object and transmitted to the first customer, in accordance with the adjusted schedule.

Techniques to automate various aspects related to construction projects, including but not limited to, creation of schedules, verification of construction progress, estimation of costs, updating of schedules, creation and estimation of construction status, use of information generated by construction equipment, and the use of granular information to continually update the same. Data analysis can be used to refine the cost per task and calculate a cost to complete for a construction project. The cost to complete can be viewed at any time and it will be made more accurate by having the cost per task refined from historical data. Additionally, a rate of production statistic can be generated to compare workers across tasks and see if the implicit task durations used to today can be refined. A learning algorithm can be created by using reinforced learning to figure out the next best step if a project task is delayed or put on hold. This action can normalize projects in an effort for them to complete as scheduled and priced.

A method is disclosed for enabling a network location to provide an ordering process for data relevant to connected network devices' activities. The method includes assembling the data, utilizing the activity data, and associating the data, such that information is derived to enable a desired expansion of at least one designated activity. Another method is disclosed for managing an object assignment broadcast operations for a network location based on a network device's previous activities. This second method includes tracing a network device's conduct to determine that a network device prefers a particular class of content. The method also includes tagging a network device's profile with the respective observation and deciding by a network location as to the classification factor for a network device to be targeted for an object assignment broadcast.

A non-iterative revising tool is provided, which interfaces with a WFM service running on one or more WFM hosts. The non-iterative revising tool can configure a client computing device to export timetable records and staffing forecast records from a WFM service; non-iteratively revise, for a referent employee, task assignments of timetable records to fulfill forecast workload volumes of a primary task type according to conditions not implemented by conventional WFM services; and import revised timetable records into the WFM service after work task assignments have been at least partially aligned with forecast workload volumes based on an alignment objective. The non-iterative revising tool and the WFM services configuring client computing devices and WFM hosts in conjunction allows numerous data records to be exported from WFM hosts running the WFM services, revised over a single pass by client computing devices running the non-iterative revising tool, and imported back to the WFM hosts running the WFM services, in just minutes.

A virtual power plant manages power consumption of various assets and curtails the power consumption of the assets based, at least in part, on power consumption flexibility of the assets. Curtailing the power consumption of the assets reduces electricity required which is effectively the same as generating electricity. The electricity that has been reduced by the curtailment may be subsequently resold on the wholesale market.

Example implementations relate to determining and implementing a feasible resource optimization plan for public cloud consumption. Telemetry data over a period of time is obtained for a current deployment of virtual infrastructure resources within a current data center of a cloud provider that supports an existing service and an application deployed on the virtual infrastructure resources. Information regarding a set of constraints to be imposed on a resource optimization plan is obtained. Indicators of resource consumption relating to the currently deployed virtual infrastructure resources during the period of time are identified by applying a deep learning algorithm to the telemetry data. A resource optimization plan is determined that is feasible within the set of constraints based on a costing model associated with resources of an alternative data center of the cloud provider, the indicators of resource consumption and costs associated with the current deployment.

The disclosed computer-implemented method may include (1) accessing a first media data object and a different, second media data object that, when played back, each render temporally sequenced content, (2) comparing first temporally sequenced content represented by the first media data object with second temporally sequenced content represented by the second media data object to identify a set of common temporal subsequences between the first media data object and the second media data object, (3) identifying a set of edits relative to the set of common temporal subsequences that describe a difference between the temporally sequenced content of the first media data object and the temporally sequenced content of the second media data object, and (4) executing a workflow relating to the first media data object and/or the second media data object based on the set of edits. Various other methods, systems, and computer-readable media are also disclosed.