The Asset Guardian (TAG) Mobi: Tackle Downtime with TAG Mobi
TAG Mobi is a fully embedded preventive maintenance and asset management (EAM) solution within Microsoft Dynamics 365 Business Central. Designed for modern manufacturing and infrastructure operations, TAG Mobi helps reduce risk, minimize downtime, and streamline maintenance workflows—all from within your existing Business Central environment.
From proactive asset health monitoring and predictive maintenance to real-time mobility and AI-powered adoption tools, TAG Mobi equips maintenance teams with everything they need to boost performance and take control of asset operations.
Key Features:
• Fully embedded in Microsoft Dynamics 365 Business Central
• Real-time mobile access for on-the-go asset tracking
• Predictive maintenance to reduce unplanned downtime
• AI-assisted onboarding for faster adoption
• Advanced APM tools to monitor asset health and anticipate failures
No silos. No extra software. Just a seamless, native experience that empowers maintenance teams and provides managers with the insights they need—right inside Business Central.
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Tractian is the Industrial Copilot for maintenance and reliability, combining hardware and software solutions to monitor asset performance, manage industrial operations, and implement predictive maintenance strategies. Its AI-driven platform empowers businesses to prevent unplanned equipment downtime and boost production output. The company is headquartered in Atlanta, GA, and extends its presence globally with offices in Mexico City and Sao Paulo. Learn more at tractian.com.
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MultiRater Surveys
MultiRater Surveys powers MyMentor Insights, a structured, end-to-end leadership feedback and development program designed for learning & development consultants, executive coaches, and HR teams who want feedback to lead to real behaviour change.
MyMentor Insights works by combining multi-source feedback, interactive insight, and ongoing development in one integrated experience. Organisations can collect meaningful data through proven survey types including 180° performance reviews, 360° leadership development surveys, employee engagement and feedback surveys, mental health and wellbeing surveys, and customer pulse surveys. Surveys can be used as-is or fully customised to align with an organisation’s leadership framework, capability model, or language.
Once surveys close, results are delivered through interactive, visual online debriefs that allow leaders and coaches to explore competency-level insights, drill into individual question data, and clearly identify strengths and development priorities. These insights flow directly into personalised development plans that are practical, measurable, and aligned to organisational goals, supported by progress surveys, check-ins, and live AI coaching to reinforce accountability and sustained behaviour change over time, rather than a one-off 360 experience.
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AWS IoT Analytics
The data generated by IoT devices is predominantly unstructured, posing challenges for analysis using conventional analytics and business intelligence tools that cater to structured data formats. This type of data is often derived from devices that capture inherently noisy processes like temperature, motion, or sound, leading to frequent occurrences of significant gaps, corrupted messages, and erroneous readings that necessitate cleansing prior to any analytical work. Moreover, the significance of IoT data frequently relies on supplementary inputs from third-party data sources. For instance, vineyard irrigation systems enhance moisture sensor readings with rainfall data, assisting farmers in making informed decisions on when to irrigate their crops, thereby optimizing water usage and boosting harvest yields. AWS IoT Analytics simplifies and automates the complex steps involved in analyzing data from IoT devices, making it easier for users to gain insights. This service is fully managed and operates on a pay-as-you-go model, ensuring automatic scaling to accommodate varying data volumes. Consequently, organizations can leverage AWS IoT Analytics to advance their operational efficiencies and make data-driven decisions with greater ease.
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