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Google Cloud Next 2024: AI innovation for Google Cloud

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In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud.

Google 258
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Exploratory analytics and collaborative analytics capabilities democratize insights across teams

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Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.

Analytics 196
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The top four log analytics and log management best practices

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By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

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Advanced security analytics to resolve incidents quickly and streamline threat hunting

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The growing complexity of modern multicloud environments has created a pressing need to converge observability and security analytics. Security analytics is a discipline within IT security that focuses on proactive threat prevention using data analysis. This allows them to react accordingly and return the system to a secure state.

Analytics 179
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Unified observability delivers deeper insights with AI-driven analytics and automation

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With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation. This coactive AI approach enables organizations to spend more time on innovation by simplifying and automating routine tasks. This is Davis CoPilot.

Analytics 178
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Business analytics tools: Use cases and best practices for IT business analytics

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Leveraging business analytics tools helps ensure their experience is zero-friction–a critical facet of business success. How do business analytics tools work? Business analytics begins with choosing the business KPIs or tracking goals needed for a specific use case, then determining where you can capture the supporting metrics.

Analytics 171
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How unified data and analytics offers a new approach to software intelligence

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As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence.

Analytics 187