Category: Analytics

Learn about how CrowdStrike is using AWS AI capabilities to transform security operations. By partnering with AWS, CrowdStrike is able to accelerate analyst workflows, deliver AI-native protection to thousands of organizations of all sizes and industries, and to deliver world-class protection that matches the speed, scale and sophistication of modern adversaries.

This blog post explores a scalable architecture for centralized log monitoring in multi-region, multi-account AWS environments. The proposed solution leverages AWS CloudWatch account-level subscription filters to efficiently deliver logs from various sources to Grafana Cloud, a unified platform for log analysis, visualization, and alerting. By consolidating logs from disparate sources, organizations can gain improved visibility, streamline troubleshooting, enhance security and compliance, and optimize performance across their cloud infrastructure. The article provides a detailed overview of the architecture, highlighting the benefits of this approach and guiding readers on implementing this scalable log delivery solution.

By Sam Anand, WW Partner Lead, Data Foundations for AI – AWS By Sudhir Gupta, WW Tech Lead, Data & AI – AWS By Vishal Sharma, WW Tech Lead, Data & AI – AWS By Martin Pomykala, WW Partner Lead, Databases – AWS As the capabilities of generative AI models continue to advance rapidly, organizations […]

Precisely, a global leader in data integrity, provides data accuracy, consistency, and context for 12,000 customers worldwide. This blog describes how using the Precisely Geo Addressing solution on Amazon EMR, users can take large address datasets, create an accurate master dataset, and extract valuable metadata for further analysis at scale.

Kyndryl and AWS have developed an IoT solution to enhance firefighter safety at the edge in the face of intensifying wildfires and urban fires, using wearable devices with environmental sensors to monitor toxin exposure and health vitals in real-time. The solution transmits data to an AWS IoT/Data platform for analysis, presenting a color-coded status on a command dashboard that allows fire incident commanders to make informed decisions about firefighter health, positioning and evacuation need. This award-winning technology not only provides real-time situational awareness and automated record-keeping but also streamlines insurance claims and offers a user-friendly, compliant solution that can be adapted for worker safety solutions in industrial, energy and manufacturing sites.

QuesTek, a leader in Integrated Computational Materials Engineering (ICME), and AllCloud, an AWS Partner, collaborated to integrate generative AI into QuesTek’s ICMD (Integrated Computational Materials Design) platform. In this post, we will provide a high-level overview of the generative AI use cases that transformed the ICMD platform.

By combining Amazon DynamoDB with SingleStore, organizations can efficiently capture, process, and analyze DynamoDB data at scale. SingleStore has high-throughput data ingestion and near-real time analytical query capability for both relational and JSON data. This integration empowers businesses to derive actionable insights from their data in near real time, enabling faster decision-making and improved operational efficiency.

Learn how AWS and ThinkCol collaborate to build responsible AI solutions using guardrails and safeguards. With ThinkCol’s Guardrail Solution, businesses can now harness generative AI’s power while mitigating risks of toxicity, hallucination, and misuse. Additionally, organizations have the ability to maintain brand integrity and customer trust through a framework that includes pre-checking queries, generating accurate answers, and post-checking for relevance.

Learn more about the Next-Gen Digital Analytics, a solution built on Amazon Web Services, using Snowplow and Snowflake. This joint solution empowers organizations to unlock the untapped value of customer behavioral data. It improves data quality, governance, and real-time activation within their AWS environment. By implementing this solution, customers can supercharge the use of Artificial Intelligence (AI) and generative AI adoption to help address key business objectives, such as user acquisition, retention, and customer lifetime value.

Coverage and utilization metrics can be misleading and do not always tell the full story when it comes to managing commitments and measuring their impact. Effective Savings Rate (ESR) is an objective FinOps metric that measures your true ROI. In this blog post, we will discuss challenges with coverage and utilization, why ESR is important, benchmarking insights, and automation with ProsperOps.