vFXT

1 review

The Avere vFXT Edge filer (vFXT) is a virtual, scalable network file systems that allows applications to run on cloud computing services by bursting data from on-premises storage resources.

Microsoft Entra Workload ID

1 review

A workload identity is an identity you assign to a software workload (such as an application, service, script, or container) to authenticate and access other services and resources. The terminology is inconsistent across the industry, but generally a workload identity is something you need for your software entity to authenticate with some system. For example, in order for GitHub Actions to access Azure subscriptions the action needs a workload identity which has access to those subscriptions. A workload identity could also be an AWS service role attached to an EC2 instance with read-only access to an Amazon S3 bucket.

Azure AI Translator

1 review

Translate text instantly or in batches across more than 100 languages, powered by the latest innovations in machine translation. Support a wide range of use cases, such as translation for call centers, multilingual conversational agents, or in-app communication.

AI Anomaly Detector

1 review

Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. AI Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it—in the cloud or at the intelligent edge.

MICROSOFT ASIA - ALLIANCE ACCOUNT MAIN

1 review

The Microsoft Asia Alliance Account Main is a strategic initiative designed to strengthen partnerships between Microsoft and its key collaborators across the Asia-Pacific region. This program focuses on fostering collaboration, driving joint business objectives, and accelerating digital transformation through the integration of Microsoft's advanced technologies and resources. Key Features and Functionality: - Partner Benefits Packages: Offers tailored packages such as Partner Launch Benefits, Partner Success Core Benefits, and Partner Success Expanded Benefits. These packages provide access to Microsoft product licenses, Azure credits, technical support, and marketing resources, enabling partners to enhance their service offerings and operational capabilities. - Surface Reseller Alliance Program: Provides incentives to commercial Surface resellers at platinum, gold, and silver levels, recognizing their contributions and supporting their efforts in achieving Microsoft's business objectives. - Partner Marketing as a Service : Delivers co-branded marketing services, including advisory, content creation, and execution, to amplify the alliance between Microsoft and its partners, driving joint business goals efficiently. Primary Value and Solutions Provided: The Microsoft Asia Alliance Account Main addresses the need for cohesive and strategic partnerships in the rapidly evolving digital landscape. By offering comprehensive support through benefits packages, reseller programs, and marketing services, it empowers partners to: - Accelerate Digital Transformation: Leverage Microsoft's cutting-edge technologies and resources to drive innovation and efficiency in their operations. - Enhance Market Competitiveness: Access to advanced tools and support enables partners to deliver superior solutions, meeting the dynamic demands of the market. - Foster Collaborative Growth: Strengthened alliances with Microsoft facilitate shared success, aligning business objectives and expanding market reach. Through this initiative, Microsoft demonstrates its commitment to empowering partners in Asia, fostering a collaborative ecosystem that drives mutual growth and success.

Graph Engine

1 review

Graph Engine (GE) is a distributed, in-memory, large graph processing engine, underpinned by a strongly-typed RAM store and a general computation engine. The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set.

Semantic Kernel (SK)

1 review

Semantic Kernel (SK) is an open-source, lightweight SDK designed to seamlessly integrate advanced AI capabilities, such as Large Language Models (LLMs), into conventional programming languages like C#, Python, and Java. By combining traditional code with AI-driven prompts, SK enables developers to create intelligent applications that enhance user productivity and engagement. Whether it's summarizing lengthy conversations, automating complex tasks, or generating insightful content, SK provides the tools necessary to build sophisticated AI-first applications efficiently. Key Features and Functionality: - Prompt Templating and Chaining: Facilitates the creation of dynamic AI prompts and the chaining of multiple prompts to perform complex tasks. - Skills Architecture: Allows developers to build reusable "Skills" as semantic or native code, promoting flexibility and extensibility. - Memory and Connectors: Integrates "Memories" for context retention and "Connectors" for accessing live data and services, enhancing the AI's contextual understanding and real-time capabilities. - Planner: Translates user requests into actionable sequences by orchestrating Skills, Memories, and Connectors to achieve desired outcomes. - Multi-Language Support: Compatible with models from OpenAI, including GPT-4, and Azure OpenAI Service, with support for C#, Python, and Java, catering to a broad developer audience. Primary Value and Problem Solved: Semantic Kernel addresses the challenge of integrating advanced AI functionalities into existing applications without the need for extensive AI expertise or training custom models. By providing a unified framework that blends traditional programming with AI capabilities, SK empowers developers to enhance their applications with intelligent features, automate complex processes, and deliver more engaging user experiences. This accelerates the development of AI-driven solutions, reduces time-to-market, and democratizes access to cutting-edge AI technologies.

Zapper Edge Managed File Transfer Platform

1 review

Zapper Edge is Cloud-Native, zero-trust, zero-ops and data-residency first Managed File Transfer (MFT) Platform for Enterprises. It is Simple. Secure. Auditable. Scalable. High-Performance — Everything You Expect from a Next-Gen MFT Solution. It's a a modern, plug-and-play MFT platform that deploys directly on your Azure Cloud. Unlike traditional solutions that rely on external servers, Zapper Edge runs natively within your Azure environment, providing you with complete control and data sovereignty. It’s built for the modern enterprise, offering integrations, real-time monitoring, and audit-ready reporting. It's a security first platform that: 1. Azure-native, high-performance file transfer 2. Enterprise-grade Security, Compliance & Auditability 3. Zero-Ops Deployment & Scaling Technology – Multi‑tenant isolation, data sovereignty, and modern MFT Challenges and impact Multi‑tenant architectures and data isolation. Modern SaaS providers often run multiple customers on a shared platform. Tenant isolation ensures that each customer’s data remains private; multi‑tenant systems can vary from shared schemas with tenant IDs to fully separate databases. Inadequate isolation or encryption exposes tenant data to other customers. Encryption and compliance. In multi‑tenant environments data encryption at rest and in transit is essential. Unencrypted data flows or outdated MFT solutions can open security gaps – corporate compliance experts note an urgent need to modernize file‑transfer and email security because traditional MFT tools are vulnerable and have contributed to data breaches. Data‑sovereignty and privacy laws. Data privacy regulations are expanding; by the end of 2024, privacy laws will cover three‑quarters of the world’s population and companies face growing fines. Organizations must keep data within specific regions and maintain detailed audit logs to prove compliance. How Zapper Edge helps Azure‑native deployment and data sovereignty. Zapper Edge runs inside the customer’s Azure subscription; organizations maintain control over location and sovereignty of their data. The platform leverages Azure Blob, Entra ID (Azure AD), and Key Vault integration to enforce regional data residency and strong identity management. Tenant isolation and multi‑tenant support. Zapper Edge provides logical isolation for each tenant; administrators can choose tenant‑per‑workspace or shared workspaces with per‑tenant encryption keys and RBAC policies. This ensures that each client’s data remains private even when multiple partners share the same environment. Modern threat prevention. Advanced threat‑protection options such as anti‑virus scanning, DLP and sensitive information detection are built in, addressing the compliance community’s call for MFT modernization. Auditability and compliance. Zapper Edge automatically captures immutable audit logs and offers reporting dashboards, meeting evolving data‑privacy laws and supporting frameworks like NIST and GDPR.

Microsoft Azure AI SDK

1 review

The Microsoft Azure AI SDK is a comprehensive suite of client libraries designed to facilitate the integration of advanced artificial intelligence capabilities into applications across various programming languages. By providing seamless access to Azure's AI services, the SDK empowers developers to build intelligent solutions efficiently. Key Features and Functionality: - Speech Services: Incorporate speech-to-text, text-to-speech, translation, and speaker recognition functionalities into applications. - Vision Services: Analyze and interpret visual content from images and videos, enabling features like object detection and facial recognition. - Language Services: Implement natural language understanding capabilities, including sentiment analysis, entity recognition, and language translation. - Content Safety: Detect and filter harmful or inappropriate content to ensure safer user experiences. - Document Intelligence: Extract structured data from documents, facilitating automated processing and analysis. - Azure AI Search: Integrate AI-powered search functionalities to enhance information retrieval within applications. Primary Value and Solutions Provided: The Azure AI SDK streamlines the development of AI-enhanced applications by offering pre-built, customizable APIs and models. It addresses common challenges in AI integration, such as managing complex machine learning workflows and ensuring scalability. By leveraging the SDK, developers can accelerate the deployment of AI solutions, improve operational efficiency, and deliver more engaging user experiences.