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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional business analytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. Prescriptive analytics: What do we need to do? Simplilearn adds a fourth technique : Diagnostic analytics: Why is it happening? Kaiser Permanente streamlines operations.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. An electrical engineer can use prescriptive analytics to digitally design and test out various electrical systems to see expected energy output and predict the eventual lifespan of the system’s components.

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The Role Of Technology In A Changing Financial Services Sector Part II

Cloudera

Evaluating anomalies and unpredicted events like pandemics and ESG concerns. One of the key takeaways from recent times that should be considered into the future, is that banks need to rethink how they look at tail risk or extreme events that rarely happen. . To capture the importance of sequencing of events. .

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AIOps reimagines hybrid multicloud platform operations

IBM Big Data Hub

As shown in the following diagram, an issue in the environment triggers several events across the full stack of the business solution. This results in an unmanageable event flood. Moreover, there are often duplicate events due to full-stack level observability and these events result in data silos.

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Pay for in-demand IT skills rises fastest in 14 years

CIO Business Intelligence

In the first quarter of 2022, skills centered around “management, methodology, and process” were the most richly-rewarded, buoyed by demand for skills such as AIops, Azure Key Vault, big data analytics, complex event processing/event correlation, deep learning, DevSecOps, Google TensorFlow, MLOps, prescriptive analytics, PyTorch, Scaled Agile Framework (..)

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