Getting Started With Microsoft Copilot: A Guide To Driving ROI

This lightweight EP generates optimized inference engines — instructions on how to run the AI model — for the system’s specific RTX GPU. Intel’s EP combines OpenVINO AI software performance and efficiency with Windows ML, empowering AI developers to easily choose the optimal XPU (CPU, GPU or NPU) for their AI workloads on Intel Core Ultra processor powered PCs. The Microsoft 365 Copilot app brings together your favorite apps in one intuitive platform that keeps your data secure with enterprise data protection.

Further, topics which are included in transactions should be configured for durability. In particular, the replication.factor should be at least 3, and the min.insync.replicas for these topics should be set to 2. Finally, in order for transactional guarantees to be realized from end-to-end, the consumers must be configured to read only committed messages as well. The buffer.memory controls the total amount of memory available to the producer for buffering. If records are sent faster than they can be transmitted to the server then this buffer space will be exhausted.

When the buffer space is exhausted additional send calls will block. The threshold for time to block is determined by max.block.ms after which it throws a TimeoutException. Windows 11 has a diverse hardware ecosystem that includes AMD, Intel, NVIDIA and Qualcomm and spans the CPU, GPU and NPU. Consumers can choose from a range of Windows PCs and this variety empowers developers to create innovative local AI experiences.

Windows ML is generally available: Empowering developers to scale local AI across Windows devices

Starting today, developers can also try custom AI models with Windows ML in AI Dev Gallery, which offers an interactive workspace to make it easier to discover and experiment AI-powered scenarios using local models. To take advantage of the idempotent producer, it is imperative to avoid application level re-sends since these cannot be de-duplicated. As such, if an application enables idempotence, it is recommended to leave the retries config unset, as it will be defaulted to Integer.MAX_VALUE. Finally, the producer can only guarantee idempotence for messages sent within a single session. Windows ML is compatible with ONNX Runtime (ORT), allowing developers to utilize familiar ORT APIs and enabling easy transition for existing production workloads. Windows handles distribution and maintenance of ORT and the Execution Providers, taking that responsibility on from the App Developer.

Simplified tooling for Windows ML

The future of AI is hybrid, utilizing the respective strengths of cloud and client while harnessing every Windows device to achieve more. At Microsoft, we are reimagining what’s possible by bringing powerful AI compute directly to Windows devices, unlocking a new era of intelligence that runs where you are. With groundbreaking advancements in silicon, a modernized software stack and deep OS integration, Windows 11 is transforming into the world’s most open and capable platform for local AI. The purpose of the transactional.id is to enable transaction recovery across multiple sessions of a single producer instance.

Here is a simple example of using the producer to send records with strings containing sequential numbers as the key/value pairs. The Microsoft 365 Copilot app brings together your favorite apps and Copilot in one intuitive platform. Anyone in your organization can quickly create documents, presentations, and worksheets within a single, unified app experience. Empower your organization with Microsoft 365 Copilot Chat that supercharges productivity, sparks creativity, and keeps your data protected with enterprise data protection. Should you start small to get buy-in or go big to leap ahead of the competition? The answer largely depends on where your organization is in its AI journey.

Execution Providers (EPs) are the bridge between the core runtime and the powerful and diverse silicon ecosystem, enabling independent optimization of model execution on the different chips from AMD, Intel, NVIDIA and Qualcomm. With ONNX as its model format, Windows ML integrates smoothly with current models and workflows. Developers can easily use their existing ONNX models or convert and optimize their source PyTorch models through the AI Toolkit for VS Code and deploy across Windows 11 PCs.

PRODUCER_METRIC_GROUP_NAME

• The answer largely depends on where your organization is in its AI journey.
• When called it adds the record to a buffer of pending record sends and immediately returns.
• All messages sent between the beginTransaction() and commitTransaction() calls will be part of a single transaction.
• With ONNX as its model format, Windows ML integrates smoothly with current models and workflows.
• If records are sent faster than they can be transmitted to the server then this buffer space will be exhausted.

Of course, selecting and buying a Copilot tool is only one step of AI success. Before you make any investment in Copilot, it is important to identify key use cases for how you plan to leverage Copilot in the organization and identify metrics to track success. For example, one use case could be improving overall productivity of the team when preparing for a meeting or streamlining the process for reviewing contracts.

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AI assistants and agents aren’t the future of work—they’re already here. Microsoft Copilot in particular is already causes effects and solution of depletion of natural resources embedded in the fabric of global business. Nearly 70% of the Fortune 500 use Microsoft 365 Copilot, and Barclays has rolled out more than 100,000 seats with plans to scale further. On the developer side, GitHub Copilot now has more than 20 million users and is in use at over 90% of Fortune 100 companies. Explore learning tools to collaborate on projects together and independently, all in one place.

Today we are excited to share that Windows ML is now generally available for production use to assist developers with deploying production experiences in the evolving AI landscape. For example, my company recently worked with a 300-person insurance company on Copilot integration. The company wanted to roll Copilot out to every department within a year, so a broad impact with quick wins was the best path forward. They invested in Microsoft 365 Copilot and Copilot Studio to gain buy-ins internally from key stakeholders. Now that they have good momentum, they’re well poised to make a larger investment to roll out the tools to everyone. Later, they’ll be able to make further investments in functional scenario-based Copilots to make more targeted impacts.

• Consumers can choose from a range of Windows PCs and this variety empowers developers to create innovative local AI experiences.
• Developers can easily use their existing ONNX models or convert and optimize their source PyTorch models through the AI Toolkit for VS Code and deploy across Windows 11 PCs.
• Further, topics which are included in transactions should be configured for durability.
• All the new transactional APIs are blocking and will throw exceptions on failure.
• Microsoft Copilot in particular is already embedded in the fabric of global business.
• If set, the retries config will default to Integer.MAX_VALUE and the acks config will default to all.

Bring your own model and deploy efficiently across silicon – securely and locally on Windows

To enable idempotence, the enable.idempotence configuration must be set to true. If set, the retries config will default to Integer.MAX_VALUE and the acks config will default to all. There are no API changes for the idempotent producer, so existing applications will not need to be modified to take advantage of this feature. Companies just getting started with Copilots should aim to make a broad impact to score some quick wins and drive further AI investment and internal buy-in. In this scenario, a rapid deployment of one of the core Microsoft Copilot options with low-risk, high-visibility use cases is ideal. Microsoft Copilot 365, for example, allows you to introduce some simple automation and build entry-level agents.

It is similar to the example above, except that all 100 messages are part of a single transaction. The producer maintains buffers of unsent records for each partition. Making this larger can result in more batching, but requires more memory (since we will generally have one of these buffers for each active partition). The acks config controls the criteria under which requests are considered complete. The “all” setting we have specified will result in blocking on the full commit of the record, the slowest but most durable setting. In a randomized study of 6,000 employees across 56 firms, Copilot users spent 30 fewer minutes on email each week, finished documents 12% faster, and nearly 40% used the tool regularly over six months.

With Windows ML now generally available, Windows 11 provides a local AI inference framework that’s ready for production apps. Windows ML is included in the Windows App SDK (starting with version 1.8.1) and supports all devices running Windows 11 24H2 or newer. While developing Windows ML, we prioritized feedback from app developers building AI-powered features.

To do so, you’ll need to identify a specific problem or business function to address. This is ideal for organizations with a clear AI vision, with teams ready to tackle cultural, data and infrastructure shifts, and use cases with measurable, strategic outcomes. This path forward requires a high level of investment in one of the more complex Copilot offerings. We worked closely with our silicon partners to ensure that Windows ML can fully leverage their latest CPUs, GPUs and NPUs for AI workloads. To use the transactional producer and the attendant APIs, you must set the transactional.id configuration property. If the transactional.id is set, idempotence is automatically enabled along with the producer configs which idempotence depends on.

sendOffsetsToTransaction

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The Microsoft 365 Copilot app empowers your employees to do their best work with Copilot in the apps they use daily. As is hinted at in the example, there can be only one open transaction per producer. All messages sent between the beginTransaction() and commitTransaction() calls will be part of a single transaction. When the transactional.id is specified, all messages sent by the producer must be part of a transaction. All the new transactional APIs are blocking and will throw exceptions on failure. The example below illustrates how the new APIs are meant to be used.