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IoT Analytics: The New Frontier in Business Intelligence

QBurst

The data engineering that precedes analytics was covered in our previous post, Data Engineering: The Heavy Lifting Behind IoT. Incontestably, industrial IoT’s claim to fame is the visibility it brings to previously inaccessible phenomena. […].

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Mulesoft, Tableau uptake fuels Salesforce growth spurt

CIO

Despite a tumultuous couple of months, strong user uptake of Tableau business intelligence and MuleSoft data automation and integration software fueled a surprising 14% year-over-year jump in revenue for Salesforce’s fourth quarter. Artificial Intelligence, Business Intelligence and Analytics Software, Technology Industry

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The Impact of IoT on Data Integration: A Transformational Journey

Dzone - DevOps

In an era where the Internet of Things (IoT) has deeply penetrated multiple facets of life—from smart homes to industrial automation—the volume, velocity, and variety of data are reaching unprecedented levels. Data integration, a cornerstone in the realm of analytics and business intelligence, has had to adapt rapidly.

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Innovative Manufacturers are Investing in these Advanced Technologies

CIO

Answering these concerns, smart factories are moving to another edge: edge computing, where operational data from Internet of Things (IoT) sensors can be collected and processed for insights in near-real-time. They also see significant gains in areas such as regulatory compliance, process automation and business intelligence. [5]

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Embrace grabs a new funding round amid unveiling of new mobile data intelligence software

TechCrunch

Its new Data Intelligence product enables organizations to make all of their mobile data accessible and actionable by their business intelligence and data science teams so that other departments, like engineering, product and marketing, can use that data to make better decisions about areas like new products and marketing campaigns.

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The AI continuum

CIO

Classical machine learning: Patterns, predictions, and decisions Classical machine learning is the proven backbone of pattern recognition, business intelligence, and rules-based decision-making; it produces explainable results. Downsides: Not generative; model behavior can be a black box; results can be challenging to explain.

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Digital transformation: nei progetti a tutto campo la chiave è il change management

CIO

Infine, il flusso delle segnalazioni e delle attività di AMA genera una gran mole di dati per il sistema SAP e, per essere più efficaci, cominceremo a gestirlo con una data platform e la business intelligence”. Uniformare i processi significa uniformare la lettura del business e aprire il terreno a crescita organica e non”.