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Our white paper "Sustainability: Integrate corporate sustainability into your organization" is a practical guide for companies.

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The AI Transformation and the Next Stage in the Evolution of Modern Work.

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The goal of this collaboration is to create a flexible platform. In the future, companies will be able to choose from a range of project management tools and methods and integrate them seamlessly into their strategic portfolio management.

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Campana & Schott is one of the top-ranked management consultancies. Germanys WirtschaftsWoche magazine recognizes Campana & Schott's project success with prestigious award.

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Start your IT transformation. In todays era of digital transformation, IT plays a central role in enabling business development and innovation. Seamlessly integrated IT services and processes that are orchestrated end to end are no longer merely a technological foundation. They are now a crucial factor in long-term corporate success. The IT Service Management Maturity Assessment enables assessment of specific IT capabilities and how they are organized in order to lay the groundwork for their further development and evolution. 

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The Solutions Partner for Microsoft Cloud designation is awarded when a Microsoft partner has attained all six solution area badges, demonstrating their broad technical capabilities and proficiencies across the Microsoft Cloud. Thanks to our expertise in cloud computing, we have been assisting companies along their journey into a digital future for years. We are a Microsoft partner with many specializations reflecting our capabilities and performance across all Microsoft technologies. We have now attained the Solutions Partner for Microsoft Cloud designation, which is awarded exclusively to partners certified in all six solution areas. For each badge, Microsoft has verified that we satisfy the requirements, proficiencies, and experience to make our customers successful in each specific area.  

The program gives customers peace of mind in knowing that we focus on innovation and solutions in everything we do and have in-depth technical expertise, and that our consultants have extensive professional knowledge across the full range of Microsoft Cloud topics. This means we can provide our customers with the best possible support while adding value.  About the program 

The Microsoft AI Cloud Partner program is an initiative that allows partners to unleash innovation and provide customers with optimum support using Microsoft AI technology. Some of the key aspects of the program are:

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The forecasts in the contexts of the war for talent are clear: Occupational health management is essential for organizations that want to attract and retain talent.

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Copilot is currently the flagship of Microsoft AI and is already familiar to many. The assistant is now being integrated into the MS Sustainability Manager as the first AI functionality. Amid the sustainable transformation, artificial intelligence (AI) is held to have tremendous potential for reducing environmental impact and making a crucial contribution to climate action. However, even the biggest AI enthusiasts rarely point to concrete use cases, as the focus lies elsewhere. First, transparency will need to be created in key indicators that are relevant to sustainability while also ensuring that increasingly strict European specifications are met. There are about 50,000 companies in Europe facing this same challenge right now.

In our day-to-day work on projects, weve increasingly been seeing that most organizations dont collect their ESG (environmental, social, governance) data sufficiently to make it possible to use AI effectively. However, the introduction of the Corporate Sustainability Reporting Directive (CSRD) in the EU marks a turning point in that it provides the framework for building a solid basis in data, along with the necessary technical infrastructure. This is now opening up concrete avenues of integrating AI into the management of ESG indicators. In our experience, every sustainable transformation is also an IT transformation. ESG management requires mature technical solutions that integrate smoothly into organizations existing IT landscapes. The market used to consist primarily of isolated solutions, but established providers enterprise technologies have come a long way in recent years. Our close collaboration with Microsoft gives us an up-close view of how factors such as cloud for sustainability are being incorporated into many customers IT and sustainability strategies. Microsoft Sustainability Manager is the centerpiece of these activities. It makes it possible to collect and manage environmental indicators on things like emissions, water consumption, and waste management.  Microsoft Copilot is currently the flagship of Microsoft AI, and many people are already familiar with it. This assistant is now being incorporated into MS Sustainability Manager as the first AI feature. The market is still in its early days, but the new functionality already allows sustainability professionals to interact with this solution in natural language. This helps them to interpret analyses of emissions data and increase efficiency in generating customized reports ad-hoc. Our experience has shown that analyzing sustainability data requires solid expertise and an understanding of the context. AI-supported analysis using Sustainability Manager through Intelligent Insights supports sustainability professionals with interpretation, and especially with identifying anomalies and potential sources of error a step that is often very labor-intensive. Scenario analyses such as what ifs also make it possible to generate forward-looking scenarios for reducing emissions and managing resources and water. The support provided by AI empowers people to optimize and make strategic decisions with an eye to sustainability targets. Groundbreaking flagship projects attract public attention, but the key to all AI ambitions surrounding corporate sustainability lies in ESG data management. To get there, companies need to know where to tap into data and collect the data in an organized way. We help our customers take the initiative in this space, taking their sustainability management to the next level by building a structured approach to ESG data management.

Organizations cannot put AI to work in the sustainability context at all unless and until they have the ESG data foundation in place not just to meet regulatory requirements, but also to create lasting added value for the company and society at large.  Sustainable Transformation

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AI helps employees make the most of their work and of corporate data, but what about data security? Learn more about the right measures applied to harness the full value created by AI. Like all of us, I have noticed all the buzz around AI, which has reached the corporate world with the big ChatGPT wave: Artificial intelligence can create value by supporting users, making their work easier and faster. Microsoft has also recognized this trend and developed Microsoft 365 Copilot, an AI tool for enterprise use based on Microsoft 365 data.  

As a long-term expert on information and data security, I felt it was necessary to analyze what using these tools means for existing security architectures and concepts, whether there is any impact on information security, and whether concepts need to be adjusted in response.    The key element to AI is the data, also known as big data. The only way to add value through analytics is to evaluate as much data as possible through machine learning. Artificial intelligence can then use this information to recommend actions to interpret desired results. However, it is precisely this database that needs to be subject to the usual access restrictions. When AI is used, as in other situations, everyone should only be able to see what they are authorized to see. Another important aspect for this data pool is that the data in it must be encrypted without impairing the performance of the analysis through latency. Beyond that, the protective goals of information security, confidentiality, and integrity continue to apply: Unauthorized access to the data must be prevented (confidentiality), and it must be impossible to modify the data unintentionally (integrity). In the case of Copilot, this is ensured through the Microsoft architecture and graph API, which still follow the same authorization concept. However, when AI is developed in-house, the infrastructure also needs to be designed in-house according to current architecture specifications.  

In my experience, companies do not generally keep their data in a single central location. Instead, it is spread around the entire infrastructure. Consequently, it is necessary to create a data infrastructure in which the data is provided on an aggregated basis for analysis. Modern Kubernetes cluster infrastructures are a good solution for this, as they also provide the necessary API connections to enable a constant flow of data reflecting changes in the data within the company.   I recommend following the specifications of zero-trust infrastructure, least privilege, and last need to know for the security architecture of this kind of cluster. In brief, these three guidelines mean that access verification is required at all times, only minimal authorizations are assigned, and people only see what they are supposed to see.  

The analysis algorithms used within the cluster (generally shallow learning, or deep learning in the case of generative AI) can be designed outside the clusters by developers and then transferred over on a regulated basis. Adjustments in the ML/AI algorithms serve to improve data interpretation and generate more accurate results: Setting the information in the right context is the big challenge with artificial intelligence.  

I believe this approach, and modified, advanced architecture concepts can be used to harness the added value of AI for everyone. I also see this as a big opportunity for companies, prompting a rethink and reconceptualization of IT infrastructure for greater security and to prepare for future challenges even as the value added by AI is unlocked for employees. This means information security is not just present in the background, but also a tangible part of the companys development. And I think thats a wonderful idea.  

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The sustainable transformation in companies is propelled by cultural change, with a sustainable corporate culture forming the foundation for long-term success. Culture eats strategy for breakfast. This memorable quote from management consultant Peter Drucker is decades old now. Almost everyone has heard it at some point. And yet, my impression as an organizational psychologist is that it is still not very well understood within companies today and very seldom guides their actions. Organizational development and change management are typically the first places where cuts are made when things get tight in a project. And that is in spite of the fact that investments in these areas often carry a tremendous return if the right methods are used.[1][2] 

If we add the idea of sustainability to organizational culture, thats already two terms that are so broad and fuzzy that they are open to a wide range of interpretations. Everyone seems to have their own idea of what they mean. I frequently encounter misunderstandings and uncertainty relating to both topics in my work, which is why Im writing this text to clear things up. There are two reasons for this. First, both subjects are absolutely crucial to the evolution and further development of our companies. And second, they are also inextricably linked. True sustainability emerges from a certain culture. [4][5] And a culture that is viable for the future requires sustainability. Almost every company is currently facing the challenge of how to become sustainable. A comprehensive transformation of our economy is necessary if we are to ensure that our planet and our society remain livable. But getting there often means dealing with a whole range of complex issues. The tension between striving for growth, increased efficiency, and ecological and social responsibility seems almost impossible to reconcile. And so, many companies focus on the bare essentials: preparing for future sustainability reporting requirements. And most of them limit themselves to increasing process efficiency and introducing IT tools, which they hope will solve all their problems. This is pragmatic, and from a financial standpoint it seems to be the most effective move. But when it comes to the sustainable transformation, this strategy comes up very short. Achieving fundamental and long-term improvements in ESG performance requires a holistic approach. But what might this kind of approach look like?

Cultural change is the magic word here. Once sustainability is firmly embedded in the organizations values, basic assumptions, mindset, and modes of action, then the transformation can start to build momentum. Which doesnt mean it will be concluded in a short period and without any issues. Cultural change is complex by nature, and it is impossible to make detailed predictions. This uncertainty often causes companies to put their money toward moderate but still goal-oriented change management rather than process-oriented organizational development.

And yet, only organizational development enables the fundamental change needed for a successful sustainable transformation. And that is definitely cost-effective. After all, C-level micromanagement becomes obsolete once middle managers and employees are given the knowledge and responsibility they need to connect sustainability with the companys business interests. This can be the foundation of a sustainable business model that remains solid in the long term. There is no one-size-fits-all solution for companies to reach this point.  

Lets take a look at the organizational development toolbox. Some of the methods involved are even older than Druckers statement, and they might be just as poorly understood. When applied properly, however, our methods make it possible for any company established or start-up, large or small to design its own sustainable culture. The sustainable transformation is highly complex and requires the integration of many departments and corporate levels. This means central management and decisions made exclusively by the top management at large companies are not only inefficient, but actually stand in the way of long-term success. Decentralized expertise and processes are needed instead.  

As they go about these changes, companies should build on the strengths of their established culture. The majority of German employees see sustainability as an important matter, with 40 percent reporting that they would likely resign from a job if their employer were to violate sustainability criteria.[6] If companies employ the right methods here, they can achieve two aims at once, not only putting the entire company on a sustainable course with only modest outlay of time, effort, and funding, but also significantly enhancing employees psychological empowerment.  Campana & Schott has been advising and supporting companies through this process of change for years. Id like to briefly introduce two of the methods we use, which I have seen succeed in establishing a sustainable corporate culture across many projects.  Both methods can significantly enhance employees psychological empowerment. And that, in turn, has measurable positive effects on other factors including employee satisfaction, innovation behavior, and mental health.[8][9][10] These benefits, for their part, contribute directly to a companys economic efficiency. This makes investing in the corporate culture, previously an abstract proposition, a clear business case. A sustainable corporate culture is a necessary condition of a successful, cost-effective transformation. It will not resolve the challenges companies are facing today from one day to the next. But it does enable true change that addresses issues not in isolation, but as part of a big picture. This is the only way companies can ensure that they remain competitive in the long term. 

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