Category: Intermediate (200)

Badou Intelligent Technology Co., Ltd. is a high-tech enterprise driven by AI technologies such as large language models, natural language processing, and knowledge graphs. With its comprehensive enterprise-level intelligent interaction products and applicable solutions, the company creates customized intelligent knowledge interaction platforms for enterprises. In this blog, we will discover how Badou unleashing the business productivity with its innovative intelligent chatbot capabilities built on AWS.

Learn how LogicMonitor’s SaaS platform provides hybrid and multicloud observability, covering a wide range of AWS services and workload environments. This post covers LogicMonitor’s core capabilities of scalable, agentless, automated performance monitoring. LogicMonitor also assists with cloud migration and offers built-in multicloud cost optimization and recommendations for monitored resources.

In this post, we will explore how the newly unveiled Hyperscience Hypercell, the all-in-one enterprise AI infrastructure software platform, allows insurance companies to leverage Hyperscience’s deep integration with the AWS’s Generative AI services such as Amazon Bedrock. This integration will allow insurance customers to get more value from their existing investments by developing turnkey automation solutions.

Juniper Cloud-Native Router (JCNR) on AWS can enable seamless connectivity and integration between on-premises telecom networks and 5G core workloads running on AWS. JCNRs can leverage EVPN routing over VXLAN to provide multi-tenant, secure, scalable, and performant hybrid cloud networking between on-premises layer 2 segments and AWS VPC subnets. By bridging on-premises and AWS environments, JCNR simplifies the deployment of distributed network workloads and edge computing architectures.

By Miles Scott, NAMER ISV  Partner Solutions Architect – AWS      Cleavon Roberts, NAMER ISV Partner Solutions Architect – AWS Nutanix At Amazon Web Services (AWS), our priority is to meet you where you are in your journey. Whether you’re looking to rehost existing VMware-based workloads on AWS, re-platform on fully managed AWS services, […]

The industry is evolving rapidly, with technology advancing at an unprecedented rate to keep up with new trends. Customers are transitioning from fully private Multi-Protocol Label Switching (MPLS) Networks to entirely Software Defined Wide Area Networks (SD-WAN), leveraging the Internet extensively—a stark contrast to the approach taken a decade ago. Additionally, many customers are changing their trust model and moving towards Zero-Trust Architectures, which operate on the principle that no one, whether external or internal, is trusted by default and continuous monitoring is employed to scrutinise their behaviour.

Learn why and how Armakuni used Karpenter, an open source autoscaler developed for Kubernetes by AWS, to build applications on AWS Elastic Kubernetes Service (EKS) with efficient autoscaling, auto selection of right-sized infrastructure and significant reduction in operational costs.

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 how PwC Customer Insights Engine on AWS is aimed at creation of single view of a customer by aggregating all data about that customer from across channels. CI Engine will provide end-to-end business outcomes with a readily-available analytics engine powered by machine learning (ML) and integrated with out-of-the-box analysis templates, ingestion, and transformation patterns and data pipelines.