Category: Artificial Intelligence

The AWS Retail & Consumer Goods Symposium, held on June 24th in London, brought together influential leaders and innovators to address the transformative challenges facing the sector. Set against a backdrop of evolving consumer behaviors and technological advancement—all increasingly influenced by AI—the symposium provided crucial insights into how retailers and brands can navigate the current […]

At NetoAI, we specialize in telecom AI and voice AI, solving the unique data and language challenges of the global telecommunications industry. Telecom networks produce massive, specialized, regulated datasets that generic AI and large language models (LLMs) cannot fully address. Developing and deploying a domain-specific, open-source LLM – a telecom large language model (LLM) for […]

Large language models (LLMs) and AI agents have revolutionized the orchestration of complex workflows by using their ability to interact with their environment and reason through actions. Agentic AI solutions bring a new level of flexibility and intelligence, unlike traditional machine learning (ML) methods, which often need complete retraining for new tasks and struggle to […]

The current state of telco operations: challenges and complexity Global telco operators today find themselves squeezed between surging network demand and stagnating revenue growth. According to PwC, global telecom service revenue rose by just 4.3% in 2023 and is projected to grow at a Compound Annual Growth Rate (CAGR) of only 2.9% through 2028—below inflation. […]

Water utilities worldwide are facing challenges in managing infrastructure, reducing water waste, and making sure of reliable service delivery. The traditional approaches of manual monitoring and reactive maintenance are no longer sufficient due to increasing water demand, need for uninterrupted service, regulatory requirements, and customer satisfaction. In this post, we explore how Amazon Web Services (AWS) AI […]

Every day, radiologists around the world face a growing challenge: dealing with an increasing number of medical images while racing to deliver faster results. Adhering to the latest American College of Radiology (ACR) Appropriateness Criteria can be difficult, especially when patient care is on the line. At Amazon Web Services (AWS), we’ve been thinking a […]

Lotte Homeshopping is a major South Korean retailer that was faced with an increasingly complex quality assurance (QA) process. Their fast-paced fashion division struggled with product approvals that required manual coordination across multiple channels. Partner questions went unanswered for too long, while QA agents struggled to keep up with repetitive inquiries. These mounting challenges created […]

Healthcare providers face a significant challenge today: the overwhelming volume of patient data spread across electronic health records. Before each patient visit, clinicians must review extensive medical histories, lab results, medications, and previous diagnoses—often under severe time constraints. This data overload can lead to missed insights, reduced face-to-face time with patients, and clinician burnout. We […]

Accessing workflow run logs and metrics through individual Amazon Web Services (AWS) HealthOmics APIs can make it difficult to have a birds-eye view over all your workflows and runs. Automating the ingestion of relevant HealthOmics workflow and run information can help you to be operationally efficient. Introduction Omics data has the potential to transform how […]

Companies across industries aim to deliver personalized customer experiences and optimized advertising campaigns by resolving customer identities. However, being able to reliably match records across fragmented, inconsistent, and often messy datasets can be hard and complicated. Organizations using traditional rule-based matching techniques to help match exact records often miss valuable connections due to slight variations […]