TECHNOLOGY PARTNER
Microsoft
Page index
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Discovery call: AI-powered personalization for the enterprise
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30-minute discovery call: Discover the true value of Azure OpenAI
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20-minute discovery call: Power up your enterprise with cloud-scale analytics
Valtech and Microsoft
Founded in 1975, Microsoft has been the leading name in OS software for decades. They’ve become more than a household name over decades of dominating the tech world and setting the pace for innovative and necessary tech solutions. Valtech has worked on countless projects making use of Microsoft software offerings and is proud to be counted as a Microsoft partner.
Why Valtech
As a global leader in leveraging technology to create unique and meaningful consumer experiences that drive business outcomes for our clients, Valtech has a unique and rich partnership with Microsoft.
We have deep knowledge of the varying parts of the Microsoft ecosystem. This includes Azure cloud architecture, building connected commerce and retail experiences using Azure AI data, creating connected, modern workplaces leveraging Microsoft’s robust suite of business applications, data analytics and security, and much more.
At Microsoft, we're famous for:
Data and artificial intelligence
We have a long legacy and proven track record in all things data. From implementing data catalogs and customer data platforms like Azure Purview, Azure ML Ops and Dynamics 365 Customer Insights, to using Dynamics 365 Marketing to drive exceptional customer experiences.
App modernization and cloud-native development
Whether developing greenfield applications for digital natives or modernizing legacy applications for enterprise, building exceptional, data-driven products and experiences in Azure is one of our core areas of expertise and what we’re famous for at Microsoft. In addition, Valtech also has extensive DevOps credentials.
Cloud migration and modernization
Leveraging Microsoft Azure, we efficiently and seamlessly transition existing applications to modern architectures that help spur innovation, enhance agility and drive insight across the business.
Business applications
With a focus on breaking down data silos between customers, products, people and operations, we use the power of Dynamics 365, the Power Platform and Power BI to help our customers unleash their potential and gain critical competitive advantage.
Discovery call: AI-powered personalization for the enterprise
A modern data platform can fuel many transformational outcomes. One of the biggest drivers of data modernization is the personalization of customer experiences, which is key to boosting customer loyalty, driving cross-sell opportunities and acquiring new customers.
Yet many organizations — in industries such as financial services, retail and healthcare — lack the modern data platforms to support this critical capability. Personalization is simply not achievable unless data is in order, and this is becoming even more relevant as generative AI matures.
Get started today
Schedule a no-cost, discovery call with one of our experts. We're are ready to help you assess your organization’s readiness to deliver intelligent, personalized experiences. In just half an hour, we’ll discuss your priorities and see if our structured approach is a fit for your organization.
Overview of engagement
During your discovery call, we'll engage in a detailed discussion designed to assess your current environment. Through this process, we'll collaboratively determine whether our tailored workshop is the optimal pathway to translate your visionary concepts into tangible value.
Our AI-powered personalized experiences workshop leverages the robust capabilities of Microsoft's Azure platform, the innovative solutions of Optimizely's Opal AI, and Valtech’s seasoned strategic and technical proficiency. Together, we create an ecosystem primed for the realization of personalization and business transformation.
While each workshop is meticulously customized to suit the unique requirements of your organization, here's a glimpse of the overarching approach:
Step 1: 30-minute discovery call
Consultation: Is our AI enablement workshop right for your business?
Step 2: Trifecta workshop
A custom engagement hosted at the Microsoft Technology Center, Valtech lab or in your own offices
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Kickstart a conversation. Present industry-specific use cases that use the power of Microsoft, Optimizely and Valtech to deliver power results. Collaboratively review these use cases to identify where pain points and opportunities align.
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Ideate and prioritize. Identify ways to leverage personalization, generative AI and data-driven intelligent experiences to solve specific problems within your portfolio. Assign ranked prioritization to these ideas to determine the most appropriate sequencing of how to implement the vision.
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Create a roadmap. Consider the unique problems to solve and opportunities to seize. Evaluate the solution’s value across its evolution, from proof of concept through scaled implementation. Collaboratively build a prioritized roadmap for realizing value.
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Go from concept to action. The workshop’s output can be wide-ranging. Examples include funding proposals, business cases for the executive board, prototype demonstrations or functioning demo code.
Step 3: Thin slice proof of value <8 weeks
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Implement a solution that tackles the core problem identified in the workshop.
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Develop a functioning experience with Azure Data Services and Optimizely using live data.
Step 4: Scale out proof of value to digital and data transformation program
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Wider rollout of data modernization and personalization at scale
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May include content and platform modernization, customer data orchestration and RTD, data foundations
Workshop outcomes
Our workshop will equip you with an actionable plan to develop experiences that convert customers, make employees more persuasive and efficient, and deliver measurable uplift across numerous use cases.
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Understand the ingredients required from a people-technology-data perspective. We will have use case demonstrators and live demos that can better inform stakeholders and inspire ideation for your own use cases.
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Prioritize the most impactful use cases to help gain the buy-in of your organization.
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Demonstrate the impact to value with a thin slice example against your highest value use case.
And while personalization is a key value driver for data modernization, there are many other use cases to consider:
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Improve operational efficiency via automation and AI
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Optimize costs through intelligent forecasting
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Achieve regulatory compliance
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Enhance and automate decision-making
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Consume AI that exists in the stack today
Let’s talk AI-powered personalization
20-minute discovery call: Unlock AI-driven app innovation
About our AI-driven app innovation accelerator
The challenge:
There’s a big push for application innovation and, in particular, how to use large-scale AI technologies to create intelligent, modern apps. In fact, Gartner research shows that legacy application modernization is a top 10 priority for CIOs — and by 2025 AI will be the top category driving infrastructure decisions.
For many organizations, legacy apps combined with a lack of AI, data and DevOps skills are causing problems like these:
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Slow time-to-market and stalled releases
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Unclear AI strategies and poor investment decisions
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Substandard data foundations and inability to draw deep insights from data
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Large technical debt loads and high carbon footprints
How do you figure out which AI-driven application modernization initiatives to prioritize and how to use AI for the greatest transformational impact?
Our solution: A no-cost, 20-minute AI-driven app innovation discovery call.
At Valtech, our experts are ready and waiting to guide you in defining your goals and making smart decisions about your digital future. In just 20 minutes, we’ll help you hone in on your priorities and see whether our structured approach to using AI technologies for application modernization is a fit for your organization.
Phases of engagement
During this 20-minute discovery call, we will consult with you about your current challenges and determine whether our App of the Future Accelerator, outlined below, is the most practical way to move your big ideas and business challenges into value.
Step 1: 20-minute discovery call
Consultation: Is the AI-driven app innovation accelerator right for your business?
Step 2: Plan for the AI-driven app innovation accelerator: A five-day engagement
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Understand. Build an understanding of your business and identify the highest- value area for digital modernization.
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Inspire. Start to collaboratively explore how to use Microsoft’s innovative technologies, including AI, to shape your new app.
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Align. Explore the risks and challenges in your business, and set holistic KPIs to measure success.
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Define. Get ready to start development, turning app vision into tangible outputs.
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Refine. Collaboratively refine all aspects of the app design, and test concepts with end users.
Our App of the Future Accelerator is a prescriptive approach to application innovation.
Schedule an intro call to get started on your app innovation journey
30-minute discovery call: Discover the true value of Azure OpenAI
Generative AI is the hottest topic among business leaders today. While it promises to boost efficiency, spread expertise, improve the customer experience and deliver many other benefits — how do you separate the hype from the true value assistive generative technology can bring to your organization?
The challenge
Before you embark on your AI journey, it’s important to consider issues such as these:
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Do you have AI-ready data foundations and governance in place?
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Are your people and processes ready to support new ways of working?
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What AI safety, ethics and guardrails do you need?
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How do you determine the viability and value of projects?
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How do you align AI initiatives with your broader data strategy?
Our approach
A no-cost, 30-minute Azure OpenAI discovery call.
In just a half hour, we’ll answer your questions about generative AI and help you separate fact from fiction. Together, we’ll determine whether our Azure OpenAI opportunity assessment, outlined below, is a practical way to explore what’s possible for your organization.
Our Azure OpenAI opportunity assessment is designed to help you accelerate toward your automation goals and gain an understanding of how to use generative AI in a safe, effective way.
Here’s how this collaborative two-week engagement is structured:
Step 1: No-cost, 30-minute discovery consultation
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Answer your questions about generative AI
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Determine whether our generative AI opporunity assessment is right for your business
Step 2: Week 1: Initiate
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Generative AI overview briefing, including a state-of-world summary and an Azure OpenAI briefing that explores integrations with Power Platform, Dynames, Azure and the CDM
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Stakeholder interview
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Identification and prioritization of challenges, opportunities and scenarios
Step 2: Week 2: Discovery
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Benchmark current organizational knowledge
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Map initiatives and opportunities that may impact sustainability targets
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Half-day executive workshop to report out and iterate a near-term AI strategy and roadmap
Outcomes
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Generative AI assessment specific to your organization
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Executive data strategic opportunity recommendations for Azure OpenAI, product concepts and roadmap
Schedule your Azure OpenAI discovery call today
Use cases
Azure OpenAI Service understands and generates natural language for a variety of use cases based on text or dialogue, while taking into account these key considerations:
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Maintaining control of your data
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Using safe, explainable, state-of-the-art AI models
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Integrating with existing apps and platforms
Enterprise use cases
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Enterprise search across all content
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Acquire knowledge and domain expertise
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Research and summarize documents
Brand and customer service use cases
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Next-generation conversational retail
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Next-level pre- and post-sale customer service interactions
Learn how to use Azure OpenAI for maximum business impact
20-minute discovery call: Power up your enterprise with cloud-scale analytics
Enterprises are grappling with how to manage large data volumes and optimize data management and analytics processes. Traditional approaches can no longer keep pace with the increasing complexity of data sources and the need for real-time insights — and there’s a lot of uncertainty about how to scale without increasing complexity.
The issues aren’t necessarily about the data itself. They relate more to what’s happening around the data:
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No central view of data assets, their location, ownership, meaning or value
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Lack of detailed documentation about the data contained within various platforms
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Inability to achieve compliance with industry standards, regulations or laws
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Limited understanding of data quality, and the impact of poor data quality on operational processes and business decisions
Book your cloud-scale analytics discovery call today
Our solution
A no-cost, 20-minute cloud-scale analytics discovery call.
Our experts are ready to guide you in defining your goals and making smart decisions about cloud-scale analytics. In just 20 minutes, we’ll discuss your challenges and priorities, then see whether our one-day data awareness workshop is the practical next step.
Cloud-scale analytics provide seamless scaling; facilitate governance; and empower data scientists, engineers and business users to access and use these tools to drive efficiency, reduce costs, improve conversion and create a competitive edge.
Through our expertise in all things data, we help organizations like yours design modern Azure-based data foundations and ecosystems that support real-time analytics, machine learning and AI-driven insights. We have been working with Microsoft Fabric since it was in Preview and are uniquely equipped to determine if your organization can benefit from it.
Phase of engagement
Our data awareness workshop is designed to help you explore how to modernize your approach to data management and transition to a cloud-scale analytics model that delivers new value opportunities.
Step 1: 20-minute discovery call
Consultation: is the data awareness workshop right for your business?
Step 2: Data awareness workshop
One-day engagement
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Industry success. Present industry use case and examples. Explore how the case study examples inspire new ideas. Understand how Microsoft Data Platforms, including Microsoft Fabric, support these case studies.
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Product thinking. Understand the 12 factors of an operating model that considers data products. Map your business to the 12 factors to identify tangible improvements.
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Your data products. Collaborative explore the value of your data, identify new uses for it and opportunities to improve customer experiences, reduce costs and make more effective decisions. Build a roadmap to get you heading in the right direction.
Outcomes
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An understanding of how industry leaders are using data management and governance processes as a value accelerator
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A data product canvas for one or more of your high-value data assets and a high-level roadmap detailing the action necessary to achieve the value outlined
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An Azure blueprint that clearly describes how each component of the Azure data ecosystem can support your data product roadmap
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An understanding of the different ways Valtech can support the evolution of your data and your overall enterprise data maturity
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An understanding of what product thinking or product management means in relation to data and a step-by-step guide for how to establish an operating model that supports data products
Schedule an intro call to get started on your cloud-scale analytics journey
Microsoft DevOps at Valtech
Valtech’s Microsoft-certified Azure DevOps consultants can help design your optimal DevOps business solution — on premise, in the cloud, or both.
We can work with you to build the DevOps architecture designed for your specific needs. Examples include:
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Software organizations needing to scale while maintaining a high quality of service
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IT decision-makers considering a move to Azure DevOps
Increase developer agility and the speed of operations by giving your entire dev team the ability to quickly turn company vision and goals into expedited and improved products.
Discover how to develop faster, deploy continuously and secure your software with Azure DevOps and Github.
We have extensive experience in our DevOps practice, which provides maturity assessments, training and enablement using Microsoft’s rich set of tooling and frameworks.
The right service for you
We provide a range of services that can be tailored to your specific needs. But what do you actually need? Some of the most common scenarios are:
DevOps culture
When transitioning to a DevOps culture, organizations must change their traditional methods of operating and their mindsets.
Generally, in a DevOps culture, both development and operations teams work collaboratively through frequent communication, breaking down traditional silos.
In some organizations, DevOps engineers may do both development and operations work. They always share the responsibilities with other teams, considering the entire development lifecycle. These engineers aim to increase the productivity and the quality of service to deliver the maximum value to their customers.
DevOps practices
Of course, DevOps isn’t only about communication and collaboration. DevOps best practices are aimed at helping you release software frequently, securely and with the highest quality. Prioritizing high efficiency, DevOps encourages the widespread use of automation tools to replace complex and error-prone manual tasks.
Embrace generation intelligent with the people who can make it happen for your organization
Microsoft Sustainability Manager: Using data to decarbonize
Climate change isn't just an environmental issue. It's a social, economic and moral challenge that demands a multifaceted response.
As organizations are pressured to accelerate their sustainability journeys and achieve net-zero goals, they should look to Microsoft Sustainability Manager to accelerate their ambitions.
Measuring your environmental impact can be a complex undertaking, requiring the collection and analysis of data across the entire supply chain. By leveraging AI and advanced analytics, MSM enables organizations to gain insights into their environmental footprint, identify areas for improvement and implement data-driven strategies to reduce impact.
Get ahead with expert guidance on Microsoft Sustainability Manager implementation
Why Microsoft Sustainability Manager?
Microsoft Sustainability Manager (MSM) unifies data intelligence to help organizations efficiently monitor and manage emissions. It helps organizations make informed decisions, streamline their sustainability efforts, and accelerate environmental performance.
Valtech is Microsoft’s go-to implementation partner with the highest number of MSM-certified engineers on hand to support you with onboarding and managing the tool.
The benefits of Microsoft Sustainability Manager
Comprehensive reporting
Complete and accurate account of scopes 1, 2, and 3 emissions to meet upcoming requirements.
Real-time snapshots
Access your emissions data at all times then react and iterate to reach net-zero faster.
Data that drives action
Identify high-emissions areas across your value chain to understand the areas of opportunity.
Established, tested and trusted
Valtech and Microsoft sustainable solutions can help your company deliver on sustainability and business value — driving impact and innovation across your value chain.
Learn more about our sustainability assessment
Want to meet your carbon goals and deliver on sustainability?
Half day: OpenAI readiness workshop
Unlock the potential of AI innovation and efficiency for your company with our comprehensive workshop focused on Azure OpenAI.
As a leading solution in the AI landscape, Azure OpenAI has the power to transform your business. Our workshop is designed to help you harness its capabilities to drive innovation and enhance efficiency.
If you're seeking a clearer understanding of how AI can truly benefit your organization, grappling with the intricacies of OpenAI and its potential risks, or brimming with ideas but unsure of how to bring them to fruition, you've come to the right place. Our workshop addresses these challenges head-on.
With our dynamic half-day session, your cross-functional team will work alongside our experts to explore and harness the potential of Azure OpenAI. You can expect to:
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Gain a deep understanding of Azure OpenAI's strengths and applications
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Collaboratively define a vision for your product
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Align stakeholders
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Prioritize features
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Establish a roadmap for success
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Leave the workshop equipped with the knowledge to use Azure OpenAI safely, ethically and effectively
Our workshop is structured to guide you through the three pivotal stages of AI integration:
Part 1: Understand
Dive into the realm of generative AI and its impact on your industry. Gain insights into the evolution and workings of Azure OpenAI, and learn how it can be tailored to your business. You'll also acquire knowledge about potential risks, guidelines and best practices to ensure a secure and successful AI journey.
Part 2: Choose a use case
Our proven exercises will facilitate the identification of valuable applications for Azure OpenAI within your organization. Together, we'll select the most promising use case to focus on initially.
Part 3: Define MVP and roadmap
Collaboratively define and prioritize the features for your AI-powered application. By the end of this phase, you'll have a clear MVP and roadmap in place.
Outcomes
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A summary of prioritized feature clusters and potential MVP candidates
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A shared understanding of product direction, stakeholder roles and key milestones
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Effective communication channels and ownership assignments
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Ongoing development planning guided by a unified vision and clear priorities
Join us in transforming your business through the power of Azure OpenAI. Embrace innovation, enhance efficiency and secure a future where AI works for you.
Learn how to use Azure OpenAI for maximum business impact
About Microsoft platforms
The number of different Microsoft platforms we’ve worked with is too detailed to list them all here. However, one offering that gets a lot of attention and is utilized on a number of different projects is Azure.
Cloud computing platforms, like Azure, tend to be less expensive and more secure, reliable, and flexible than on-premises servers. With the cloud, equipment downtime due to maintenance, theft, or damage is almost non-existent.
With the deep knowledge of Microsoft’s Cloud Platforms, Valtech is well suited to migrate your current system to Azure, or to build a new digital presence on the cloud all together.
