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How CIOs reinterpret their role through AI

CIO Business Intelligence

A strengthening role in IT “Real-time analytics, forecasting, and alerting capabilities enable us to intervene when problems arise and prevent disruptions,” says Deligia. At the same time, the AI’s predictive mechanism generates a forecast that highlights the deviation between what was predicted and facilitating the action to correct it.”

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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

Climate modeling consists of using datasets and complex calculations to represent the interactions between major climate system components—namely, the atmosphere, land surface, oceans and sea ice. Global Change Research Program, 2017. One of the latest climate modeling initiatives come through a partnership between IBM and NASA.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. Data exploded and became big.

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6 ecommerce trends to watch

IBM Big Data Hub

Some forecasts suggest online retail might be responsible for half of all retail revenues by next year. In the constantly shifting, rapidly expanding ecommerce ecosystem, businesses must think creatively about their digital strategies and how best to create dynamic, interactive shopping experiences that improve customer relationships.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. billion in 2017 to $190.61 Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. billion by 2025.

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Adding Common Sense to Machine Learning with TensorFlow Lattice

The Unofficial Google Data Science Blog

TF Lattice offers semantic regularizers that can be applied to models of varying complexity, from simple Generalized Additive Models, to flexible fully interacting models called lattices, to deep models that mix in arbitrary TF and Keras layers. There is a robust set of tools for working with these kinds of constrained optimization problems.

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Leveraging generative AI on AWS to transform life sciences

IBM Big Data Hub

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. Why IBM Consulting for generative AI on AWS?