Smart Data Collective
FEBRUARY 23, 2022
The Internet of Things is becoming a big deal for people in countless professions. Back in 2014, Gordon Hui wrote an article in Harvard Business Review about the ways the Internet of Things changes business models. Here are some benefits of adapting to a new business model in an era driven by the IoT.
CIO Business Intelligence
JULY 20, 2022
Knowledge and adoption of big data, cloud transformation, internet of things (IoT), augmented reality, and robotics are necessary to remain agile. Successful digital transformation should start with your top business objectives and being inclusive of all stakeholder viewpoints,” he says.
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CIO Business Intelligence
MARCH 30, 2022
While business leaders have the greatest insight about the organization’s needs and objectives (and likely have new ideas on how to achieve those objectives), the CIO has the greatest knowledge of what is possible — along with an understanding of emerging technologies and how they can be used.
Rocket-Powered Data Science
JUNE 17, 2022
Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. The key difference is this: monitoring is what you do, and observability is why you do it.
IBM Big Data Hub
JULY 27, 2023
More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. It also benefits from advanced asset management software, like IBM Maximo.
Jet Global
AUGUST 14, 2019
Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters?
AWS Big Data
MARCH 7, 2023
It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Consumption This pillar consists of various consumption channels for enterprise analytical needs.
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