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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

What do you recommend to organizations to harness this but also show a solid ROI? A playbook for this is to run multiple experiments in parallel and create ‘MVPs’ (fail/learn fast), as well as incorporate feedback mechanisms to enable an improvement loop, and scaling the ones that show the fastest path to ROI.

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Ferrovial puts AI at the heart of its transformation

CIO Business Intelligence

It’s beginning to be clear now this is no longer the case, and we can demonstrate marked cost reduction and positive ROI on these investments.” “But we start from a situation where data scientists were misunderstood and could only add value if provided with funds that the business preferred to invest in other areas.

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Change The Way You Do ML With Applied ML Prototypes

Cloudera

The work of a machine learning model developer is highly complex. They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. Here’s a preview of what you can leverage with one click in CML: Deep Learning for Anomaly Detection.

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Choosing the right Machine Learning Framework

Domino Data Lab

Here are several key considerations you should take into account when selecting a machine learning framework for your project. When you start your search for a machine learning framework, ask these three questions: Will you use the framework for deep learning or classic machine learning algorithms?

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

Machine learning algorithms like Naïve Bayes and support vector machines (SVM), and deep learning models like convolutional neural networks (CNN) are frequently used for text classification. A targeted approach will optimize the user experience and enhance an organization’s ROI.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Beyond cost savings, organizations seek tangible ways to measure gen AI’s return on investment (ROI), focusing on factors like revenue generation, cost savings, efficiency gains and accuracy improvements, depending on the use case. A key trend is the adoption of multiple models in production.