Remove Data Collection Remove Enterprise Remove Internet of Things Remove Machine Learning
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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. A lot has changed in those five years, and so has the data landscape.

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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

.’ Observability delivers actionable insights, context-enriched data sets, early warning alert generation, root cause visibility, active performance monitoring, predictive and prescriptive incident management, real-time operational deviation detection (6-Sigma never had it so good!), Reference ) Splunk Enterprise 9.0

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Conversational AI use cases for enterprises

IBM Big Data Hub

Enterprises can use NLU to offer personalized experiences for their users at scale and meet customer needs without human intervention. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Marketing and sales: Conversational AI has become an invaluable tool for data collection.

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A Vision of Radical Networking Simplicity

CIO Business Intelligence

Unified Experiences The antidote to spiraling operations complexity for enterprise networks is radical simplicity. Unified experiences are seamless digital interactions that rely on bridging the boundaries between different technologies, locations, teams, and things. Problems often take a long time to identify and resolve.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

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How the Edge Is Changing Data-First Modernization

CIO Business Intelligence

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making. From there, other best practices emerge: Heighten the focus on security and governance.

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

Our approach includes applying AI, Internet of Things (IoT), and advanced data and automation solutions to empower this transition. We are seeing an industry shift from enterprise asset management (EAM) toward asset life cycle management (ALM) due to the rise of AI and new sustainability regulations.

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