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Deep automation: A CIO weapon for turning disruption into opportunity

CIO Business Intelligence

Unlike siloed or shallow automation efforts, deep automation architects a perspective that integrates customer experiences, value streams, human-machine collaboration, and synergistic technologies to create intelligent, self-adjusting businesses. Prioritize data quality to ensure accurate automation outcomes.

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Leveraging AI to discover and classify your data in a complex and dynamic landscape

Laminar Security

AI and data discovery trends going forward Looking ahead, we can anticipate several trends in the use of AI for data discovery and classification. One trend is the increasing use of deep learning algorithms for these processes. One of the primary challenges is data quality.

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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

Meanwhile, the digital twin market is set to grow at a 50% compound annual growth rate, reaching $184.5 For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. . billion by 2030. A Competitive Differentiator.

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Increasing Real-Time Efficiency Through AIOps

CIO Business Intelligence

Learn how to maximize your organization’s real-time efficiency with AIOPs Powering Digital Transformation. Data analytics is the key to unlocking the most value you can extract from data across your organization. Ready to evolve your analytics strategy or improve your data quality?

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4 Tips for Processing Real-Time Data

CIO Business Intelligence

Several factors make such scaling difficult: Massive Data Growth: Global data creation is projected to exceed 180 zettabytes by 2025. Increased Digitization: Digitally transformed organizations are projected to contribute more than half of the global gross domestic product (GDP) by 2023.

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How the Sports and Entertainment Industry Is Reinventing the Fan Experience and Enhancing Revenues with Computer Vision

CIO Business Intelligence

More specifically, enhanced operations result in a safer, more efficient, better-quality event, which results in greater fan participation and more revenue across the supply chain. This ripple effect coupled with the rapid acceleration of digital transformation is teeing us up for an exciting next inning.

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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

O’Reilly Media had an earlier survey about deep learning tools which showed the top three frameworks to be TensorFlow (61% of all respondents), Keras (25%), and PyTorch (20%)—and note that Keras in this case is likely used as an abstraction layer atop TensorFlow. The data types used in deep learning are interesting.