Sellers work in various applications including Outlook, Teams, Dynamics 365 Sales, or engage in CRM systems such as Salesforce. 

This Copilot enables sellers to become more productive, manage their day to day more smoothly with capabilities such as email drafts and email thread summaries, to save time and resources for preparation. 

A key highlight of the Microsoft Sales Copilot is that within Microsoft teams, sellers will receive a summary of a meeting scheduled and coaching tips during meetings. This is significant as it helps them reply to customer enquiries more quickly. Also, the actions from the meetings conducted, can generate tasks in CRM automatically. This is fantastic in saving your sales team time, and ensuring they can re-allocate the time in making the interactions with customers more personalised and value-driven. 

Viva sales capabilities are now apart of the Sales Copilot and are available in Dynamics 365 sales. It has the ability to summarise customer details, past interactions and meetings they have had with the customer and other news related to them. This is the expert way the new AI-generated function allows your sales team to catch up, when they’re on a time crunch. 

Microsoft Sales Copilot is available today in a subscription alone, or it is included as part of those customers who have Dynamics 365 Sales Enterprise and Premium Licenses at no extra cost. The new capabilities will be rolled out this month. 

AI Powered Process Mining in Power Automate provides AI-powered insights that enable customers to optimise existing processes and drive efficiencies with low-code automation. Power Automate Process Mining offers two industry standard capabilities, task mining and process mining, that break down barriers that might make it difficult for an organization to identify inefficiencies in their workflows and where to improve. Process Mining includes functionality such as the Process Mining desktop app with advanced analytics and Power BI customisation.

More value in your Power Platform licenses: With the general availability of Process Mining, Microsoft further expands its low-code offering, providing customers with not only the most complete hyper automation offering in the market, but the most comprehensive low-code platform including copilot in Microsoft Power Platform. 

The following updates will take effect on August 1st, 2023:

· Microsoft are optimising the Power Automate and Apps SKU lineups with a focus on Power Automate Premium per user and Power Apps Premium per user.

· They are launching Process Mining in Power Automate Premium per user and announcing an add-on for additional capacity.

There is a famous saying 'you don't know what you don't know' - well when it comes to understanding your processes and revealing what the bottlenecks are, the features announced at Microsoft Inspire AI Powered Process mining, looks like a nothing less than game changer in this space.

For details please contact Bytes. There is further reading here on the Power Platform Blog

Well, the answer lies in the unique strengths that different LLMs bring to the table. As demonstrated by various research studies (https://12ft.io/proxy?q=https%3A%2F%2Ftowardsdatascience.com%2Fspecialized-llms-chatgpt-lamda-galactica-codex-sparrow-and-more-ccccdd9f666feach_ LLM’s excels in their own specific task areas. For instance, Meta's Llama 2 shines particularly bright in the realm of text summarization.

Imagine incorporating generative AI into your application, desiring to cherry-pick the "best" model for distinct use cases. Say you're running a ticket management system and need to condense the essence of an issue from a lengthy string of tickets - an LLM, like LLama 2, proficient in summarization could be your ideal tool. Conversely, there are LLMs better tuned for statistical analysis, such as asking “please give me the average number of tickets resolved within my 15 minute SLA” - fitting perfectly for enhancing your reporting capabilities. Where Llama 2 might be “less good”, something like Claude or GPT 3.5 would be a better suit.

Now, picture a unified platform enabling you to handpick a specific language model tailored to your application's needs, integrate it seamlessly into your application, and then roll it out with enterprise-grade controls. That's precisely the level of flexibility and control Azure offers. With Azure AI Studio, the boundaries are pushed far beyond just OpenAI models, thereby expanding the landscape of possibilities for developers and businesses alike.

Imagine the possibilities to develop groundbreaking applications that use specialist models for the right use cases.

For more information, please visit the Microsoft article here.

Microsoft Fabric license types

Microsoft Fabric has individual and organisational licenses.

Organisational licenses

Organisational licenses provide the infrastructure for Microsoft Fabric. Without an organisational license, users can't work in Fabric. There are two types of organisational licenses:

Premium Per user (PPU) - Premium Per User, or PPU, is the entry level organization license. PPU uses a shared capacity across the organisation, which provides the computing power for the Power BI operations that take place in the organisation. PPU licenses provide partial access to Microsoft Fabric. If you're using a PPU license, you'll only be able to access Power BI items in Microsoft Fabric.

Capacity - Capacity licenses, known as Premium licenses in Power BI. Each SKU provides a set of Fabric resources for your organizations. Your organization can have as many organizational licenses as needed.

Individual licenses

Individual licenses allow users to work in Microsoft Fabric. There are two types of individual licenses:

Free - A free license allows you to create and share Fabric content in Microsoft Fabric if you have access to a Fabric Capacity (either trial or paid).

Pro - A Pro license lets you share Power BI content with other users. Every organisation needs at least one Pro license if they intend to work with Power BI. If you're purchasing a Microsoft Fabric license for your organisation, ensure you purchase at least one Pro license for your organisation.

With Azure Migrate's Business Case tooling, you can effortlessly generate a comprehensive report specifically tailored for your budget holder. This report includes vital information they need to see, such as:

1. On-premises vs. Azure Total Cost of Ownership: Gain a clear understanding of the financial implications by comparing the costs of maintaining your existing infrastructure versus migrating to Azure.
2. Year-on-Year Cashflow Analysis: Visualize the financial impact over time by examining cash flow projections, allowing you to forecast and plan your budget accordingly.
3. Resource Utilization Insights: Leverage Azure Migrate's resource utilization analysis to identify servers and workloads that are optimal for migration to the cloud. This helps you make informed decisions about workload placement.
4. Quick Wins for Migration and Modernization: Identify opportunities for immediate migration and modernization, including the migration of end-of-support Windows OS and SQL versions. These quick wins can provide immediate benefits and improve overall system security and efficiency.
5. Long-Term Cost Savings: Transitioning from a capital expenditure model to an operating expenditure model can result in long-term cost savings. With Azure's pay-as-you-go pricing, you only pay for the resources you use, allowing for greater flexibility and cost optimization.

By leveraging Azure Migrate's Business Case tooling, you can now effectively communicate the financial advantages, strategic benefits, and value proposition of your cloud migration initiative, making it easier to secure buy-in from stakeholders and decision-makers.