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Leadership Between Connectedness and AI – A Conversation with Hamza Khan

Leadership Between Connectedness and AI – A Conversation with Hamza Khan

by Hamza Khan | Sep 29, 2023 | Digital Transformation, Impuls series, Leadership and AI | 0 comments

Leadership between Connectedness and AI – A Conversation With Hamza Khan

Prefer to listen to the article? Click below to access our AI speech-generated audio. However, if you want to read it as usual, keep scrolling.

Leadership between Connectedness and AI – A Conversation With Hamza Khan

For another part of our expert series “Leadership 4.0: Leadership in the AI Era,” Leadership Horizon 2023 keynote speaker Hamza Khan agreed to an interview with us. He tells us about the skills needed in the age of artificial intelligence, recommends active action steps for leaders, and explains why, in his opinion, a pure leadership culture through robots is unrealistic.

Read this interview to gain insights and explore how artificial intelligence changes today’s leadership culture.

In the context of artificial intelligence, some people often worry about their jobs being replaced by AI. How do you see this concern? Especially, what then becomes the role of a leader when using AI?

The concern about AI replacing jobs is both valid and urgent. Undoubtedly, jobs will be changed and replaced by the end of the decade. These sentiments are shared by nearly every think tank and strategy consulting firm. For instance, Deloitte estimates that 100 million global low-wage workers must find a different occupation by 2030. McKinsey reckons that 400 million to 800 million individuals could be displaced by 2030.

But viewing AI as a tool that can augment human capabilities rather than replace them entirely is essential. Through this lens, leaders play a crucial role in shaping the narrative by ensuring that AI enhances employees’ skills and productivity.

The role of a leader in the AI era is evolving to that of a steward—one that must balance the dichotomy of leadership (serving the needs of the mission vs. serving the needs of the people). And I believe that what’s good for the mission is what’s good for people and, by extension, the planet.

To that end, leaders should focus on leveraging AI to automate routine and especially mundane tasks, freeing up time for strategic thinking, creative thinking, and fostering a culture of continuous learning and adaptability among their teams.

AI can be a game-change force multiplier for good. But suppose leaders repeat the mistake of using it as a tool to merely increase profitability at the expense of people and the planet. In that case, we risk accelerating civilization toward the opposite of the greater good.

Are jobs being replaced by AI?

For what purposes do you think AI can be best utilized in a professional context?

AI is exceptionally valuable for data analysis, decision-making, and process optimization. My rule of thumb for optimally using AI is to give it that which is measurable, repeatable, and scalable.

My tasks offload to AI include increasingly complex coding, extracting insights from vast datasets, written (and soon multimedia) content editing, improving forecasting accuracy, and enhancing user experiences.

Which tools are most suitable for leaders in that regard?

Tools like machine learning algorithms, natural language processing, and data analytics platforms are most suitable for leaders effectively leveraging AI.

What skills must a leader possess to successfully use AI?

My wife (who, by the way, will be presenting at the next MDI Leadership Horizon) and I playfully interpret the “GPT” in ChatGPT as “Genius Partner For Thinking.” In that regard, leaders can use AI to map the various decisions and consequences. They can use it to synthesize complex ideas. They can use it for creating briefs.

It helps to think of AI as a droid (like C-3PO from Star Wars) without a body (for now). But to successfully use AI, leaders need skills such as data literacy to understand AI-generated insights, critical thinking to interpret AI recommendations, and emotional intelligence to manage teams effectively.

And discipline to use regularly, communication to get the most, creativity to imagine solutions, and humility to recognize their limitations.

What technical skills are necessary?

While skills like basic programming and data analysis can be beneficial, the good news is that leaders can be something other than technical experts.

But they should nevertheless have a fundamental understanding of AI concepts. Specifically, at this game stage, they should become adept at prompt design and engineering.

Artificial intelligence technologies are evolving rapidly. How can companies ensure that they keep up with all the latest developments and make their AI strategy successful in the long run?

To stay current, companies should invest in continuous learning and development programs for their employees. This effort includes staying abreast of industry trends (via news, reading, conferences, etc.), training on AI technologies, and ethical considerations.

Establishing cross-functional AI teams and fostering collaboration between IT and business departments can also ensure a successful long-term AI strategy. And I think it’s also helpful to have fun with technology—play with it, challenge each other to push the limits of their creativity, and ultimately try to improve people’s lives and the planet’s health.

Before undertaking any new AI initiative, ask, “How could this support life?”

ai's developments

How realistic is it that a portion of our leaders in the future will consist of robots?

While AI systems may assist in decision-making, it’s unlikely that robots will entirely replace human leaders. True leadership involves empathy, intuition, and understanding complex human dynamics, which are difficult for AI to replicate.

With that said, it’s realistic that we’ll see the widespread assistance of human leaders by robots. And this includes, further down our timeline, the physical augmentation of humans.

What would such a leadership style look like? One that is solely based on Artificial Intelligence?

Here, we can get quite philosophical about what it means to be a human leader. After all, successful leadership is transmitted. And this presupposes that something is learned, taught, and replicated. Therefore, if humans can do it—and it’s measurable, repeatable, and scalable—then it’s not out of the realm of possibility that AI could do it.

A purely AI leader, I think, would make decisions faster, it would hold larger amounts of data and scenarios, and even perhaps make better decisions insofar as the criteria have been established to support life (for people and the planet).

But it would require bravery from humans to default to AI to lead them, to cast aside our anthropocentric worldview, and embrace AI as a new species—A wild notion for a species that has historically had a hard time accepting people with other intersectionalities as their own!

But back to the original question: leadership style solely based on AI would lack the emotional intelligence, creativity, and adaptability that human leaders bring.

What do you see as the advantages and disadvantages in this scenario?

AI can excel in data-driven decision-making, efficiency, and objectivity. Ultimately, it would excel in sheer computational output and productivity—we could accelerate scenarios, projects, and tasks to their logical conclusions.

However, it may lack creativity, ethics, and the ability to understand the nuances of human behavior and emotions. A misstep here could accelerate consequences not in the best interest of supporting life.

What aspects can be taken over by Artificial Intelligence, and what should remain human?

AI should take over anything routine that can be done better, faster, or cheaper. But the caveat should be that surplus gains from labor should be used to offset losses incurred by humans.

This process could be achieved through such initiatives as universal basic income, subsidized upskilling and reskilling, and robust social welfare programs, to name a few. While decisions related to strategy, ethics, and employee well-being should remain human-driven.

At the same time, we need to start thinking ahead of the time when AI will gain sentience, at this point, we’ll have to be careful about thinking it as a tool.

AI in company use

Now that we’ve talked so much about artificial intelligence – what specific initial steps can companies/leaders take?

Start with small, manageable AI projects that solve specific problems. Start playing with the technology, use it more frequently, empower others to do so, and involve the entire organization in this endeavor.

Invest in employee training and AI literacy. Develop clear AI ethics guidelines to ensure responsible AI use. And encourage a culture of experimentation and learning.

How can we gradually integrate AI into our daily work routine?

To bring AI into your daily work routine, pick tasks that could use digital help. Ensure you’ve got the right data at your fingertips, and then find some AI tools that make sense for your goals.

Get your team on board by giving them a crash course in AI, so they’re on the same page. Test the waters with small pilot projects, tweaking things as you go along. Encourage everyone to work hand-in-hand with AI, where people bring the human touch, and AI brings the data smarts.

And don’t forget the ethics—set some clear rules for how AI should behave. If it all works out, consider rolling it out to more parts of your organization. Keep an eye on things, gather feedback, and ensure everyone’s still on board. Create a culture where AI is just another team member, with leaders who’ve got its back.

I have one last question that we will ask all our guests. What do you see as the biggest challenge for leaders in the next 5 years?

This is an excellent question to end with which to end our interview. I’m excited to revisit my answer in a year, as it might require substantial updating, given the exponential growth of the technology.

For now, one of the biggest challenges for leaders in the next five years will be navigating the evolving landscape of technology, AI, and sustainability while focusing on human well-being, planetary well-being, and ethical practices. Balancing these priorities will require adaptability, compassion, and visionary leadership.

It will require transcending our humans’ hardwired fear of change and a coordinated orientation toward using leadership to serve the greatest good: life.

Hamza Khan

Hamza Khan

Keynote Speaker

Hamza Khan is a best-selling author, award-winning entrepreneur, and globally-renowned keynote speaker whose TEDx talk “Stop Managing, Start Leading” has been viewed over two million times.

The world’s leading organizations trust him to enhance modern leadership, inspire purposeful productivity, nurture lasting resilience, and navigate constant change.

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In Dialogue with Michael Kolleger: Leadership 4.0 – AI in Transition

In Dialogue with Michael Kolleger: Leadership 4.0 – AI in Transition

by Michael Kolleger | Sep 29, 2023 | Digital Transformation, Impuls series, Leadership and AI | 0 comments

In Dialogue with Michael Kolleger: Leadership 4.0 – AI in Transition

Prefer to listen to the article? Click below to access our AI speech-generated audio. However, if you want to read it as usual, keep scrolling.

In dialogue with Michael Kolleger: Leadership 4.0 and AI in transition

In the kick-off of our new expert series “Leadership 4.0: Leadership in the Changing AI Era“, Data Scientist Michael Kolleger took the time for an interview with us. As part of this interview series, we want to get a clearer picture of artificial intelligence and talk about leadership over the next few years.

Read this interview to join us in broadening your digital horizons and gaining more insight into the complexities of AI transformation.

Hello dear Michael, thank you for taking the time for this interview! First of all, please introduce yourself. How would you briefly describe yourself and your profession?

As a Data Scientist in a senior position, I am responsible for leading a highly skilled team group specialized in data-driven solutions. My career field encompasses several key functions, including presales activities, product development, and initiating innovative ideas.

In presales, I am instrumental in convincing potential customers of our data-driven solutions. I analyze their requirements and present customized solutions to meet their business needs. In product development, I work closely with our technical team to design and develop data-driven products and services. Here, the focus is on using data to improve our products.

In addition, it is my job to foster creative ideas and innovative approaches to constantly explore new opportunities for data-driven solutions and further develop our company.

What would you say are three exciting projects you’ve worked on recently related to artificial intelligence?

  • Energy Provider, Hong Kong: As a Data Scientist on this project, I had the challenging task of analyzing data from the energy sector in Hong Kong and developing intelligent solutions for the smart grid. Our work enabled us to use real-time data to predict power consumption and production and manage the network more efficiently.

 

  • Automotive, Germany, Investigating Generation Z’s Opinion on Mobility: In this project, my team analyzed extensive data from social media to deepen Generation Z’s understanding of mobility and language preferences. These insights helped the automotive industry to develop targeted marketing strategies and better tailor products to the needs of the young target group in the future.

 

  • Banking, Hong Kong, Developing New Financial Strategies with AI: In this exciting project, we supported a global bank in HK to break new ground by developing financial strategies using artificial intelligence. We analyzed market data, global economic trends, and business news to create advanced AI models. These models helped the bank make informed investment decisions, minimize risks, and optimize its portfolio management.

That sounds really exciting! But what exactly is artificial intelligence? Please describe this term as simply as possible.

Artificial intelligence (AI) is like a smart computer that tries to mimic human thinking. It learns from information, draws conclusions, and makes decisions, much like we humans do. But it’s important to understand that AI is not a panacea. Rather, it is a tool that can be used to solve very specific problems.

Think of AI as a toolbox full of specialized tools. Each of these tools is designed to tackle a specific task or problem. For example, one AI tool may be used to recognize images, another to translate text, and yet another to make predictions based on data.

The key to using AI effectively is to choose the right tool for the right task. AI can help perform complex calculations, identify patterns in data, and automate repetitive tasks. Overall, AI can help us solve specific problems faster and more efficiently, but it requires wise application and expertise to have its full impact.

In the context of artificial intelligence, some often worry that their work will be replaced by artificial intelligence. How do you see this danger? Above all, what then is the role of a leader in the use of AI?

The concern that artificial intelligence (AI) could replace human labor is understandable. In fact, some repetitive and data-intensive tasks in many industries can be automated through AI. This can lead to efficiency gains, but it also presents challenges and opportunities for the workplace.

A leader’s role in the use of AI is to provide strategic direction and accountability. Here are some important aspects:

  • Strategic alignment: leaders need to understand how AI will impact their industry and company. They should define clear strategic objectives for how AI can help achieve business goals.
  • Resource allocation: executives are responsible for allocating the necessary resources, including talent and technology, to successfully implement AI initiatives.
  • Quality control: executives must ensure that AI applications are developed and deployed ethically and responsibly. This includes privacy, bias mitigation, and transparent decision-making by AI systems.
  • Collaboration with AI: AI can complement human work by performing routine tasks while humans focus on more creative, strategic, and interpersonal tasks. Leaders should encourage the integration of humans and machines to achieve the best possible results.
  • Crisis management: when job changes due to AI are imminent, leaders need to develop strategies for retraining and redeployment to mitigate the impact on the workforce.

Overall, the introduction of AI does not necessarily mean replacing workers, but rather shifting tasks and providing an opportunity to expand human capabilities. Leaders play a critical role in making these changes positive by finding the right balance between technology and human talent.

team meeting

What skills must a leader have in order to use AI successfully? What technical skills are necessary?

In order to successfully deploy artificial intelligence (AI) in their area of responsibility, a leader should have several skills and attributes:

  • Strategic vision: the ability to develop and communicate a clear vision and strategy for the use of AI in the organization.
  • Understanding of AI fundamentals: a basic knowledge of how AI works, its applications, and its potential is essential.
  • Technological understanding: knowledge of the technologies used for AI applications and their impact on the business.

How realistic is it that a portion of our executives will be made up of robots in the future?

Extremely unlikely.

So what would such a leadership style look like? One that consists solely of artificial intelligence?

A leadership style based solely on artificial intelligence (AI) would focus on data analysis, algorithm-based decision making, and automation. In this scenario, AI would continuously analyze large amounts of data to identify trends, patterns, and opportunities. It would generate recommendations for business decisions and make them based on objective data.

AI leadership would focus on efficiency, data optimization, and predictable operations. However, human leadership elements such as emotional intelligence, empathy and interpersonal relationships would be missing. This could lead to an emphatically rational and data-focused leadership culture that certainly neglects the creative and social aspects of leadership.

Where do you see advantages and disadvantages here? What can already be taken over by artificial intelligence, what should still remain human?

Challenges and limitations:

  • Complexity of human interaction: leaders often need to manage complex interpersonal relationships, act empathically, and communicate strategic visions. This is a capability that AI systems have so far been limited in their ability to mimic.
  • Creativity and innovation: developing new ideas, strategies, and creative solutions is an essential part of leadership that requires human intelligence and experience.
  • Acceptance and trust: Acceptance of robotic leaders in the workplace and employee trust in such systems could be barriers.

Artificial intelligence (AI) has already demonstrated the ability to automate and take over human tasks in many areas. Here are some examples of tasks and work areas where AI is being used successfully:

  • Image and speech recognition: AI systems can recognize and interpret images and speech, which is used in applications such as facial recognition, text translation and virtual assistants.
  • Chatbots and customer service: AI-based chatbots can handle customer queries, solve problems and provide information.
  • Financial and investment analysis: AI can be used in the financial industry for automated analysis of market and investment data.
  • Medical diagnosis and imaging: In medicine, AI helps diagnose and analyze medical images such as X-rays and MRI scans.
  • Manufacturing and robotics: robots with built-in AI are used in manufacturing to automate tasks such as assembly, quality control, and material handling.
  • Human resource management: AI can assist in applicant selection, monitoring employee performance, and identifying training needs.
  • Traffic control: in cities, AI systems are used for traffic monitoring and optimization to improve traffic flow.
  • Cybersecurity: AI can help monitor networks and systems for threats and take quick countermeasures.
  • Translation and speech processing: AI can translate texts in real-time and enable human-like speech in chatbots and virtual assistants.

generational management

Now that we’ve talked so much about artificial intelligence – what concrete first steps can companies/leaders take? How can we incorporate AI into our everyday work step by step?

  • Education and training: Start with training and education for leaders and employees to foster a basic understanding of AI and its applications.
  • Identify use cases: Identify specific areas or tasks in your organization where AI could add value. These could be tasks with high data content or routine tasks.
  • Data preparation: make sure your data infrastructure is solid. Clean, high-quality data is critical to successful AI applications.
  • Pilot projects: Launch small pilot projects to test the feasibility of AI applications in your organization. This allows you to gain initial experience.
  • Partnerships and outsourcing: Consider working with AI experts and vendors to leverage expertise and resources without building everything in-house.
  • Ethical guidelines: Develop ethical guidelines for the use of AI to ensure that the technology is used responsibly and in line with your values.
  • Communication and change management: Make sure you inform your employees about the introduction of AI and demonstrate the added value for them. Consider fears and concerns.
  • Measuring ROI: Establish clear KPIs to measure the return on investment (ROI) of your AI initiatives and ensure they are delivering business value.
  • Scale: if pilots are successful, consider scaling up and expanding the use of AI in other areas.
  • Feedback and adaptation: continuously gather feedback from employees and adapt your AI strategy accordingly for continuous improvement. 

One last question I’d like to ask all of our guests. What do you see as the biggest challenge for leaders in the next 5 years?

Overall, leaders in the next 5 years will face the challenge of balancing technological innovation, business growth, and social responsibility while facing a rapidly changing business environment and changes in the socio-cultural environment. The ability to adapt and use technology strategically will be critical.

 

  • Digital transformation: leaders must successfully guide their companies through digital transformation, which means adapting business models, processes and culture to remain competitive.
  • Change in the socio-cultural environment: Generation Z, born in the late 1990s and 2000s, is shaping the socio-cultural environment with new values and behaviors. Their influence has led companies to pay increased attention to social responsibility and adapt their marketing strategies to reach this target group.
  • Talent management: attracting and retaining technology and data science professionals will be a challenge. Leaders must be able to build and develop talented teams.
  • Rapid change: Technological developments and market changes occur rapidly. Leaders must be agile and adaptable to respond to unexpected events.
  • Global uncertainties: Economic uncertainties, geopolitical tensions, and global crises could affect business operations. Leaders need to be resilient and develop risk management strategies.
  • Sustainability: sustainability goals and environmental impacts are gaining importance. Leaders must develop strategies to be environmentally responsible.
  • Workplace culture and employee well-being: Creating a positive workplace culture and employee well-being is becoming increasingly important to attract and retain skilled workers.

Thank you for this exciting interview, Michael!

Michael Kolleger

Michael Kolleger

Data Scientist

Dr. Michael KOLLEGGER is a distinguished Senior Data Scientist with an illustrious career spanning over 30 years in the field of Data Analysis and Artificial Intelligence.

With more than two decades of experience specifically dedicated to Artificial Intelligence, Dr. KOLLEGGER has consistently demonstrated his expertise in gathering and analyzing business requirements, leading to the development of innovative AI solutions.

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The 5 most important soft skills for leaders in the age of AI

The 5 most important soft skills for leaders in the age of AI

by Jana Wölfl | Sep 29, 2023 | Impuls series, Leadership and AI, Leadership Tips | 0 comments

The 5 most important soft skills for leaders in the age of AI

Prefer to listen to the article? Click below to access our AI speech-generated audio. However, if you want to read it as usual, keep scrolling.

The 5 most important soft skills for leaders in the age of AI

In times where artificial intelligence knows no boundaries and numerous programs can seemingly replace any work, leaders are placing more and more value on so-called soft management skills.

In this blog post, you will learn what exactly we mean by this and why soft management skills are indispensable, especially in the context of artificial intelligence. However, if you want to learn more about the basics of artificial intelligence, you can read the first blog post of our AI series here.

Hard vs. soft management skills

While hard management skills focus more on actually doing the job, e.g. dealing with data, managing and analyzing projects, and allocating budget, soft skills are mainly about the human aspect of leadership.

Thus, it is more about empathy, cohesion, transparent communication, etc., which means that leaders should pay more attention to social interaction with their employees. While both areas of leadership are equally relevant, there is one important factor that differentiates them:

Artificial intelligence can replace the hard aspects of leadership, but not the “soft” ones.

Especially in the aforementioned areas – i.e., data analysis and management, forecasting and budgeting – but also in project management, marketing, and HR, there are now quite a few programs that significantly simplify a leader’s tasks and make them more efficient. 

While artificial intelligence can save us some work, it cannot replace the human aspect. So the more AI takes over these technical tasks, the more important it is for leaders to focus on soft skills.

The 5 most important soft skills for leaders in the age of AI

The 5 most important soft skills for leaders in the age of AI

Of course, there is a wide range of relevant soft skills that you should apply as a leader in your everyday work. Here we present the 5 most essential ones.

1. Transparent communication

As a leader, you should be able to talk openly and honestly with your employees about internal and external topics. Also, in the context of artificial intelligence, it is important to clearly communicate to your employees where AI will be used and how your work structures will now change.

You can find more about Transparent Communication in Gunther Fürstberger’s book “Winning Commitment as a Lateral Leader” in the chapter “The Communicator and the Three Commitment Steps”.

2. Empathy and social understanding

Especially in times where roles in the company are changing rapidly and new programs and devices are constantly being introduced, it is important to be able to empathize with your employees and also understand what they need.

Because in the end, of course, it’s not just about your vision as a leader, but also about making sure your employees feel comfortable with the move to artificially intelligent programs and that any concerns about the issue can be listened to and addressed as far as possible.

More on how to boost your empathy in this article.

3. Adaptability

As a leader, you should be constantly learning about new programs and technologies to stay current. It is important not to be afraid of these changes and adapt to them as soon as possible.

soft skills

4. Awareness of cultural and gender differences

The use of artificial intelligence varies from culture to culture, which you should be especially aware of when working with other countries. Also, there is a large gender gap in the tech industry, and some AI algorithms harbor unintended biases and gender stereotypes.

Being aware of these factors can help you be mindful of the inclusive use of artificially intelligent programs.

You can read more about this topic in this article.

5. Critical thinking

While AI programs can handle some of our routine tasks, their flawless problem-solving is not guaranteed. Therefore, it is up to you as a leader to review the programs’ solutions and critically question whether they have actually handled the problem ideally.

In this article, you will find tips on how to improve your critical thinking.

Conclusion

Especially now that artificial intelligence can take over more and more tasks and facilitate processes, it is important for leaders to strengthen and develop their soft skills. Thus, a smooth transition to AI programs can succeed not only for you but also for your team and the entire organization.

Jana Wölfl

Jana Wölfl

Marketing Assistant

Jana Wölfl works at MDI as a marketing assistant and writes blog posts for our site in addition to her studies at Leiden University.

She also works for SDI and supports us with writing content there as well.

  • LinkedIn

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by Marina Begic | Jul 28, 2021 | Impuls series, Leadership Impact | 0 comments

Impuls Series - The Future of Workplace Learning

Part 4 with Marina Begic: Digital Business Development Expert and Senior L&D Consultant

Our Digital Business Development Expert and Senior L&D Consultant Marina Begic is currently focusing intensively on “The Future of Workplace Learning”.

Fast and targeted learning, especially for leaders, is becoming increasingly important in an intensifying digital and agile world. Therefore, Marina shares her personal learnings with us. We kicked the series off with these topics:

  • The Future of Workplace Learning – Digitization Boost
  • personnel developers as trusted guides
  • self-directed learning needs more than just an LMS!

 

Hey, Marina is a member of our LinkedIn expert group

If you would like to exchange thoughts and ideas about “Agile Leadership Development”, please send us a request. We are looking forward to you and your valuable impulses!
Join us now!

Redefining the workplace as a new area of impact

The call for more flexibility in combination with home office and digital collaboration is giving rise to new forms of organisation. New technologies and digitalisation are leading to new forms of work and employment that are detached from space and time and also require the redesign of physical workplaces.

Just as learning technologies and processes will be built around employees as users, the office will also be built around users in the future.

In the future, we will mainly enter office spaces for two reasons:

  • Due to psychosocial needs, i.e. to exchange informally with colleagues and not to be alone
  • Because of the technical assistance systems, not primarily to work there. What used to be the printer, which was absolutely necessary for getting work done, will be the holodeck in the future. Holodecks are rooms that create simulations and virtual worlds by means of holographic projection. We may not be able to create rooms like those in Star Trek in the near future – but VR and MR technologies already provide the necessary technology to create immersive learning experiences.

Arguments for face-to-face training

A still unbeatable argument for face-to-face training so far is the possibility to leave the workplace, the mobile phone and the laptop stay off, so that one can really concentrate on the new topic.

Another argument for leaving the workplace when learning is that there are too many distractions when learning virtually at the workplace. It is simply too tempting to check one’s e-mails and work through one or two things “on the side”.

In addition, leaders tend to schedule their employees for appointments immediately before or after the training.

The office of the future

The office of the future supports its users in their current needs. And these are no longer open-plan offices for working together, because we have learned that we can also work well virtually.

So in the future, when reorganising office space, not only meeting and communication rooms should be considered, but also theme rooms, rooms for experimenting and learning in equal measure.

Functional feel-good ambience has been proven to increase performance. In future, the office must support human performance by offering a promise of learning and achievement.

In-depth literature | personal recommendation:

 

Personal Magazine plus:

Arbeitswelten (working worlds)

 

The Human Factor@work. Industrieverband Büro und Arbeitswelt e.V. (IBA)

New Work Order

Marina Begic

Marina Begic

Digital Business Development Expertin und Senior L&D Consultant

Marina has been working on new, effective learning methods and the future of corporate learning for over 15 years. In her current role, she is responsible for Digital Business Development at MDI, where her focus is not driven by the current buzzwords, but primarily on the feasibility of digital transformation for clients such as Erste Group, Lenzing, Semperit, Deutsche Bahn, Andritz AG, Uniqa, Mayr-Melnhof, Frequentis, RHIM. Her greatest strength is bringing loose ends together, which she impressively demonstrates time and time again with her big picture view and multi-dimensional approach. Her greatest passion is to provide learners not only with an experience, but also with real, lasting value for their real challenges.

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Personnel developers as trusted guides  

Personnel developers as trusted guides  

by Marina Begic, Stefan Diepolder | Jun 21, 2021 | Impuls series, International leadership development, learning effectiveness | 0 comments

Impuls Series - The Future of Workplace Learning

Part 3 with Marina Begic (Digital Business Development Expert and Senior L&D Consultant) and co-author Stefan Diepolder (Content Curator and Digital Learning Expert) 

Our Digital Business Development Expert and Senior L&D Consultant Marina Begic is currently focusing intensively on “The Future of Workplace Learning”.

Fast and targeted learning, especially for leaders, is becoming increasingly important in an intensifying digital and agile world. Therefore, Marina shared her personal learnings with us in Part 1: “Digitization Boost” and Part 2: “Self-directed learning needs more than just an LMS!”

By the way, we’ll soon continue with part 4!

Hey, Marina is a member of our LinkedIn expert group

If you would like to exchange thoughts and ideas about “Agile Leadership Development”, please send us a request. We are looking forward to you and your valuable impulses!

Join us now!

Personnel developers as trusted guides

An international survey by the Corporate Leadership Council reveals that around two-thirds of respondents see the role of personnel development (PE) as having no effective impact on business results, because the measures do not match actual needs and because the company’s challenges are not addressed in a timely manner.

The pandemic has accelerated the need to acquire new skills and competencies. As a result, the role of HR developers becomes even more central than before. Investing in employee development in the workplace would thus have to be a must-do of corporate strategy. According to Mc Kinsey, however, the budget for qualification measures fell during the pandemic for 21 percent of respondents (in Germany, according to the degreed study, even 41%).

How does Learning & Development manage the balancing act

between more precise content in the face of rapidly changing needs and at the same time less budget?

Personnel developers must move much closer to the strategy and the situational needs of the company’s employees. In the future, personnel developers will have the following two main roles:

Learningabler

 

Trusted Guide

As learning enablers (or technological gatekeepers), they create suitable spaces and provide methods, formats and tools to ensure that knowledge gets to where it is needed quickly and efficiently.

The even more important role is that of the trusted guide or learning curator.

Trusted Guides are human filters, they are competent, trustworthy people through whom we can get fast, competent and straightforward help, who support us in obtaining and verifying relevant information.

How do we find relevant information that really helps us in the increasingly dense information jungle with manageable effort? Who can really help us?

The Learning and Development department must become the first GO-TO address for these challenges.

Personnel developers can act as trusted guides directly on topics for which they themselves are passionate, or indirectly in the empowerment of other internal trusted guides.

In this context, internal Trusted Guides should have authority over content

and with the support of the methodology specialists in the Learning & Development departments, recommend content that can be drawn from different situations and create settings and learning paths that meet the needs of the target groups and enable social exchange

On the one hand, these can be experts or, in particular, leaders. Successful leaders create trust and framework conditions through open spaces and networks so that employees can take responsibility for shaping the company’s development.

Inflexible prefabricated learning programs are insufficient

Inflexible prefabricated learning programs, which are planned and rolled out for two years in advance after a one-year development period, simply no longer meet these requirements.

In addition, 100% suitable content is not always available on the market, and sometimes adaptation is required. To produce the content, you often lack the resources, the time or the skills.

Curation becomes increasingly essential

In the future, curation will therefore become increasingly essential, as the focus will be on merging existing content with new experiences. Or, in other words, on the personalization of knowledge, i.e. the adaptation of content to one’s own needs, the needs of a department, a company, an industry in the open knowledge mindset (freely available and editable knowledge). 

The market needs more flexible learning platforms for this purpose

which are not only concerned with searching for and collecting their own content – and subsequently producing content – but also with filtering, organizing and enriching it with other content, i.e. curating. Open Sesame and Microsoft Viva are already moving in this direction, but their potential is far from exhausted.  

We will therefore need a combination of agile, supportive learning technology and a new functional understanding of L&D departments supported by trusted guides in order to meet the current and future challenges of learning & development.

 

Marina Begic

Marina Begic

Digital Business Development Expertin und Senior L&D Consultant

Marina has been working on new, effective learning methods and the future of corporate learning for over 15 years. In her current role, she is responsible for Digital Business Development at MDI, where her focus is not driven by the current buzzwords, but primarily on the feasibility of digital transformation for clients such as Erste Group, Lenzing, Semperit, Deutsche Bahn, Andritz AG, Uniqa, Mayr-Melnhof, Frequentis, RHIM. Her greatest strength is bringing loose ends together, which she impressively demonstrates time and time again with her big picture view and multi-dimensional approach. Her greatest passion is to provide learners not only with an experience, but also with real, lasting value for their real challenges.

  • LinkedIn
Stefan Diepolder

Stefan Diepolder

Content Curator and Digital Learning Expert

Since my time at university, I have been working on how learning should be stimulated and how (digital) learning spaces should be designed in order to be able to develop competencies and skills efficiently, self-determinedly and effectively. I am particularly interested in the interplay between (analog) social learning processes and methods and digital tools and relevant content, which in most cases can already be found on the internet. My passion is to help people to give back autonomy over their learning, to develop information competence and to be able to make well-informed decisions. To take advantage of the supposed abundance of information on the Internet and find the relevant gems for themselves and pass them on to others. I share how I got to this point in my podcast.

  • LinkedIn

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Self-directed learning needs more than just an LMS!

Self-directed learning needs more than just an LMS!

by Marina Begic | May 20, 2021 | Impuls series, Leadership Impact, learning effectiveness | 0 comments

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Part 2 with Marina Begic: Digital Business Development Expert and Senior L&D Consultant

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By the way: Soon we will have more on the future role of L&D experts and trusted guides in part 3!

Hey, Marina is a member of our LinkedIn expert group

If you would like to exchange thoughts and ideas about “Agile Leadership Development”, please send us a request. We are looking forward to you and your valuable impulses!

Join us now!

Self-directed learning needs more than just an LMS!

During the pandemic, we all experienced what is already possible with E-Learnings and how quickly we can switch from face-to-face to virtual training. Those who already had a learning management system (LMS) in place probably found it easier to make digital learning materials and videos available to their employees and co-workers. At the same time, the learning curve was also very sharp, as we quickly learned what possibilities digital learning solutions offer and where the limitations are.

“LMS is supposed to promote self-directed learning”-this is a phrase I hear again and again from L&D departments and leaders when asked about the purpose of the LMS. The responsibility of learning should lie with the employees themselves.

What is self-directed learning anyway?

There is no standard definition, so here is an attempt to summarize it:

Learners should take the initiative on their own accord, grasp their own learning needs and learning goals, and select and apply the appropriate learning content. The mere availability of content in an LMS based on a PDP (Personal Development Plan) is therefore not sufficient to bring forth self-directed learning. Learning is a social phenomenon that needs a holistic approach.

An LMS is well suited to provide a predefined process with the appropriate content at the right point. If you don’t have too high expectations of the LMS, it can still be a very useful tool when used correctly.

However, if you want to sustainably change the learning culture in your company and develop it further in the direction of agile learning, you should not back a large, expensive horse that may no longer be usable in a few years, but rather try out many smaller options using sprints.

70:20:10

The 70:20:10 model, which is often used in leadership development, brings us closer to the fact that we are always and everywhere learning, especially through our work (70) and from others (20). In the future, there will be an increasing blending of the three “ways” of learning, i.e. formally (10%, Education), through interaction with other people (20%, Exposure) and informally through our own experience (70%, Experience).

Learning is the Work. (Jarche, 2013) 

The education portion, i.e., the formal part of learning, will increasingly be used and accessed where it is needed. The technical requirements for this are already in place.

Adaptive Systems or Learning Experience Platforms (LXP)

This also demands systems that continuously adapt to users and their needs. Adaptive systems or learning experience platforms that deliver easily digestible knowledge nuggets independent of time and place and at the same time memorize learning preferences and suggest meaningful new learning content.

From the user’s point of view, one could have skipped the development step of the inflexible LMS and started right away with so-called experience platforms. But be careful, not every LXP is a real experience platform. Giving the user an active role in the learning process beyond clicking things through should be a minimum requirement and not a promoted further development on the market.

What can also hinder the learning process in connection with an LMS implementation are

  • A long implementation process: it is not uncommon for it to take several years from the search to the roll-out of the software. Usually, a requirements catalog is created for months with 15 different stakeholders/sponsors (who are usually not the direct target group at all).
  • The search is on for the perfect solution that meets all the technical criteria and, by chance, also provides exactly the right content for the company.
  • Work is done according to the waterfall principle instead of the agile principle, i.e. the system is not deployed until all functions run without errors.

If the target group cannot be continuously tested and adapted, there is a high risk of failure.

What can current LXP platforms provide?

  • Current LXP platforms such as eloomie, Rallyware, HLX, and StoryShare offer not only learning content, but also an integrated authoring system for creating your own e-learning, enable self-service content curation and content sharing, and thus also touch on social learning.
  • Learning platforms should offer cross-platform content as part of their standard program and suggest suitable Netflix-style content based on user behavior using artificial intelligence.
  • The Leapsome platform uses an analytics tool to continuously determine its own training needs and links daily business, tasks, goal management, and feedback. However, the option to integrate third-party content is missing here.
  • So LXP also pay attention to the active and social components of learning, experience and exposure.
  • But only 25% of U.S. companies have a learning experience platform in place, and according to the Haufe Benchmarking Study from 2020, LXP is still not very widespread – for 62% of respondents it is not even a term.

For those who don't yet have an LMS and want to promote self-directed learning, here are 9 tips for doing so:

1. use existing systems: existing intranets or communication platforms/channels may not be able to perform all LMS functions; however, they probably can do more than you think. Text, images and even videos can be easily integrated at one point or another in almost all companies these days. So first knock on IT’s door and have key users show you the functionalities of existing systems. Besides, nobody wants the 25th program – no matter how useful and interesting it is.

2. content ALWAYS before infrastructure: don’t wait for the LMS to be announced in 6 months to deliver content that is currently relevant to your employees. By then, the content may even be outdated. There is certainly a solution, e.g. intranet, social media company group, monitors in production/break halls or simply link via email/SMS to Youtube channel. It is important to bring the message as close as possible (barrier-free) to the target group.

3. Iteration before perfection: It is better to publish content in small bites, i.e. microlearnings in 3-5 minutes, in different channels on a regular basis. Work in sprints for both software/infrastructure and content production, get feedback from target audience and move on. Even if it is tempting in terms of price, rather make up shorter license periods. Content that is no longer needed in a year is then still too expensive even discounted.

4. relevance: Think well about what content to go out with first with your target audience using e-learnings. How relevant is the content to the target audience? Is it “only” legally relevant (mandatory training) or does it also solve a problem for the target group. How do I communicate to the target audience that this content is relevant? Here it pays off to devote a little more time to this, even when designing the content of the e-learning: If, for example, a standard content is purchased, one could quickly use cloud-based authoring tool to create a personalized framework with introductory words to the WHY or even a short intro video with the CEO. You can also work with the sandwich method. A mandatory content (like IT security) packed between two more exciting contents.

5. good news spreads fast: but only if enough employees know about it and can spread it. Therefore, start with content that is relevant to a larger audience. So what brings the fastest quick-win, creates the greatest impact, increases business value? It is therefore advisable, for example, to prefer Outlook training for all employees to e-learnings for C-levels.

6 Mix & Match: Even if at first glance it appears to be easier to work with a large one-stop provider that covers all functionalities and often already provides a lot of content, it is nevertheless more difficult to navigate a large ship in times of change. You will never be able to cover everything from one provider. Optimal is a mix of purchased standard content, partially or completely self-produced and professionally produced content. I always recommend starting with a few selected pieces of content rather than releasing a library with hundreds of pieces of content without any control.

7. involve the target group (empowerment): not only by means of a one-time needs assessment at the beginning, but on an ongoing basis. The production staff probably knows better than the L&D department how to improve the production line and how to present that. Have project groups produce their own content and give them tools to create and share short videos themselves with short “How to make a Microlearning” training. Call competitions, create innovation awards, provide access to video/authoring tools.

8. strategy roadmap: Even an agile learning journey needs a north star, a mission. Therefore, select partners strategically. What is the goal of the LMS implementation? Because management wants to digitize the company? Is there a strategy for it? What is to be changed as a result? In what time frame? What problems will it solve – short, medium, or long term? Does it really need an LMS for this, or maybe something else already? What goal does the digital learning content pay towards? A strategy roadmap helps with orientation. At this point, it can be helpful to bring independent external experts on board. Either just for the strategy or also for content curation and personalized production.

9 Communication first: Communication is half the battle and the key to success. Really. Period. An e-learning strategy must always be accompanied by a communication roadmap and sufficient transparent communication. But what is “sufficient”?

The following approach can provide guidance:

  • At the beginning of the project: 70% communication for 30% message.
  • In the development phase: 50% communication for 50% message
  • In the maintenance phase: 30% communication for 70% message

That sounds like a lot of work to you? It is!

But e-learning is not introduced to make things easier for the L&D department, but for everyone else ? The good news is, however, that you don’t have to do the communication work alone and actually can’t do it at all. You need trusted experts called trusted guides to do it.

More about the future role of L&D experts and trusted guides will be available shortly in the third part of my impulse series

Marina Begic

Marina Begic

Digital Business Development Expertin und Senior L&D Consultant

Marina has been working on new, effective learning methods and the future of corporate learning for over 15 years. In her current role, she is responsible for Digital Business Development at MDI, where her focus is not driven by the current buzzwords, but primarily on the feasibility of digital transformation for clients such as Erste Group, Lenzing, Semperit, Deutsche Bahn, Andritz AG, Uniqa, Mayr-Melnhof, Frequentis, RHIM. Her greatest strength is bringing loose ends together, which she impressively demonstrates time and time again with her big picture view and multi-dimensional approach. Her greatest passion is to provide learners not only with an experience, but also with real, lasting value for their real challenges.

  • LinkedIn

Digital training formats for leadership development

We help make leadership development more agile with our digital training formats:

  • E-learnings
  • e-consulting
  • Blended Learning Journeys
  • Virtual Leadership
  • virtual reality
  • digital learning transfer

– we have just the right thing for your needs!

Explore now!

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The Future of Workplace Learning – Digitization Boost

The Future of Workplace Learning – Digitization Boost

by Marina Begic | Apr 13, 2021 | Agile Leadership, eLearning, Impuls series, learning effectiveness | 0 comments

Impuls Series - The Future of Workplace Learning

Part 1 with Marina Begic: Digital Business Development Expert and Senior L&D Consultant

Our Digital Business Development Expert and Senior L&D Consultant Marina Begic is currently focusing intensively on “The Future of Workplace Learning”.

Fast and targeted learning, especially for leaders, is becoming increasingly important in an intensifying digital and agile world. Therefore, Marina shares her personal learnings with us. Let’s get started with the topic “Digitization Boost”.

By the way, we’ll soon continue with our second part: “Why you can do without Learning managment systems? (LMS)” We’re looking forward to it already!

Hey, Marina is a member of our LinkedIn expert group

If you would like to exchange thoughts and ideas about “Agile Leadership Development”, please send us a request. We are looking forward to you and your valuable impulses!

Join us now!

The Future of Workplace Learning

“friendly reminder”

Who doesn’t know this or a similar situation? The newly announced learning platform, which has been around for 2 years now, “will change the learning culture in the company in the long term, teach us innovative things and save us a lot of time”. Finally it comes out with the first two e-learnings: Fire Protection Ordinance and Compliance…

While you read the bubble text about “maintaining a safe distance from machines in production”, you can visibly see that a lot of effort has been made to maintain the corporate design and the new diversity policy, right down to the avatar named Lucy. After successfully completing the first two courses (there is no other way, since you can click around, until you find the right answer in the final quiz), the third one comes out 3 months later…

After resetting the access data of the e-learning platform (for the 7th company internal tool),

by finding the announcement mail with the link to the platform, one looks with joyful expectation and sees the only new e-learning course is on the topic of “IT security”. The deadline for completion is by the end of the quarter, so there is still enough time. We quickly close the program again. However, this time we set our favorites, so that the next time we do not have to look trough all our mails. In addition our e-mails do not become less and there is still so much to do for the upcoming presentation of a new project this week…

Three days after the end of the quarter comes the third “friendly reminder” from the supervisor, this time in red and capital letters. It tells us to complete the e-learning course “IT Security”, otherwise the quarterly commission cannot be paid on time if the learning objectives have not been achieved.

It’s hard to set priorities here, isn’t it?

The Future of Workplace Learning – Digitization Boost

Current developments

In the 21st-century-skills (P21) the following 4 skills were defined in the area of learning to be able to participate in modern working life:

  • critical thinking
  • creativity
  • collaboration
  • communication

The model has been extended, discussed and modified many times, but it is remarkable that the active and interpersonal part has always remained. Experts agree that learning alone is no longer sustainable in the 21st century.

Technical innovations have redefined teaching and learning

With the breaking down of technical barriers thanks to cloud solutions, more stable and faster internet, learning management systems (LMS) have become increasingly popular. The Corona pandemic gave the perceived need for LMSs another boost.

Face-to-face training sessions have had to be cancelled from one day to the next, and to ensure that learning doesn’t stop, numerous programs have helped to ensure that knowledge building, training and skills transfer can still take place. In other words, synchronous or asynchronous formats were put in place.

In Jane Hart’s annual international study of the “Top Tools for Learning” in over 45 countries, it can be seen that learning in the workplace does not happen only or only to a small extent via LMS.

The majority of learning does not take place via formal tools, but via informal and, in particular, via active tools, i.e. by trying things out for oneself and talking about them or sharing them!

Top Tools for Learning 2020 (Hart, 2020) 

Since the introduction of e-learnings, the decline of face-to-face training has been prophesied.

Despite many proven advantages such as cost savings, increased learning transfer, more flexible learning through location and time-independent learning, it was only the Corona pandemic that made the necessity of digital learning formats apparent to even the very last companies.

It has become clear that there will be no return to the old ways.

Two-thirds of companies are planning to move employees to remote working in the long term. It is now known that the half-life of knowledge is decreasing insanely fast and that one must continue to learn continuously in one’s working life.

A century ago, it took about 35 years to correct or replace half the knowledge an engineer learned in college. New estimates put the half-life of an engineering degree between 2.5 and five years. The basics remain, but other things evolve.

“Those who don’t evolve with the times will soon no longer be able to do their jobs.” (Jane Hart 2020)

Marina Begic

Marina Begic

Digital Business Development Expertin und Senior L&D Consultant

Marina has been working on new, effective learning methods and the future of corporate learning for over 15 years. In her current role, she is responsible for Digital Business Development at MDI, where her focus is not driven by the current buzzwords, but primarily on the feasibility of digital transformation for clients such as Erste Group, Lenzing, Semperit, Deutsche Bahn, Andritz AG, Uniqa, Mayr-Melnhof, Frequentis, RHIM. Her greatest strength is bringing loose ends together, which she impressively demonstrates time and time again with her big picture view and multi-dimensional approach. Her greatest passion is to provide learners not only with an experience, but also with real, lasting value for their real challenges.

  • LinkedIn

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We help make leadership development more agile with our digital training formats:

  • E-learnings
  • e-consulting
  • Blended Learning Journeys
  • Virtual Leadership
  • virtual reality
  • digital learning transfer

– we have just the right thing for your needs!

Explore now!

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by Aline Depoorter, Marilena Maris | Mar 25, 2021 | Impuls series, Leadership Impact, Leadership Tips | 0 comments

Interview about: "Why we all need our own resilience cocktail"

with Marilena Maris: economist, personnel developer and executive coach. 

Hello Marilena,

thank you so much for taking the time to answer our questions.

We are convinced that you, as an expert, can provide insightful answers!  

The increased virtual working, the constant availability, and the simultaneous coordinating of one’s own household nowadays is draining the energy resources of many people and especially those of individuals in leading positions.

So, you might assume that currently good resilience skills are more and more needed and building resilience is the key to a balanced work life.

Marilena, I know that you have been working with thousands of leaders and experts in the past year on resilience. Can I bluntly ask you if this is the next “trending” topic? 

This might even be true and honestly, it’s one of the trends I consider really useful 🙂 If we look around, we see that the past year has given us plenty of opportunities to deal with huge challenges. In these kind of moments, it is legitimate to look out for proven strategies and ideas on what to do next. Since resilience is backed both by science and experience, it’s pretty much bullet proof.

That’s why I am not surprised about the popularity of the topic. One thing I want to underline in this “hyped” conversation, though, is that resilience is not just coping with stress. Actually, resilience is the ability to deal with a critical situation in such a way that you generate success, growth and sometimes even joy. 

If resilience is so popular and bullet proof, does this also mean it’s easy to achieve? If we look around, it seems like there still are many leaders and experts struggling. 

Fair point. Theoretically, resilience is simple: it’s about how we react to a stimulus, like a challenging situation. In this reaction, there is usually a key moment, some call it even a turning point. If we get that right, it all becomes so much easier. Practically, there is a beautiful and complex combination of what we think, how we feel and how we act under pressure. And that is really really challenging, especially when you are under pressure. 

Consider that daily we make between 20.000 and 60.000 decisions, hopefully the best ones. Those decisions rely on thinking and behavioral patterns and we are mostly not even aware of that, because we work quite a lot under pressure. So challenging how we “normally” do things is not really something which comes easy to many people, for sure not on a day full of back to back meetings and the whole saga. 

So for the ones who are still struggling, how can we break down the complexity and build up resilience?

Let’s use a simple analogy. If I would give you the best cocktail in the world, how would this cocktail be? 

It depends, right? It depends on what you think about cocktails, how you want to feel when you drink them and which ingredients are there available to create them. And then it depends on  the specific situation, sometimes a fresh non alcoholic smoothie is all we need … and sometimes we go for the Tequila Sunrise. Other times we are up for experiments like designing a totally new cocktail.

Bringing back this cocktail analogy to resilience,

you can make sure that you develop your “cocktail mixing” abilities (your thoughts, feelings and the sharp understanding of what is needed in every situation). More so, you also need to make sure that all the ingredients of the cocktail are available or easy to access. The “ingredients” we need for the resilience cocktail are key factors, like emotion regulation, impulse control, smart problem solving (“causal analysis”), empathy, positive thinking and proactively going for challenges as well as our self efficacy. In real life you might observe that some of these key factors are easy for you and others aren’t. Work on the ones you find more challenging, that’s what will bring you the best results.

Now the cocktail idea sounds good. But it also sounds like a lot of work and nobody really has the time these days.

That’s true, time is not always on our side. Yet we need to invest time and energy to get outcomes. In my work, I make a deal with all the leaders I work with. They commit to 10-15 minutes a day to build up resilience and if it’s not working for a few weeks, they can stop anytime. So far, nobody stopped this deal, quite on the opposite 🙂

The principle behind is simple: building up resilience is preparing for a marathon, not for a sprint. We need good habits and we build up those habits daily, until they become “no brainers”. So just imagine that for 10 minutes daily, you would challenge something which is not doing you a favor any longer. It may be a bad habit like smoking or it may be a big fear like the fear of change. It may be the decision to make a short walk versus allowing pandemic news to ruin your mood.  The catch is simple: instead of ignoring the issue, you focus and start actively dealing with it. Daily. For as long as it takes.

And the last question: is building up resilience only depending on what we do? What about the external factors? 

Honestly yes. We will always deal with external factors, some will be more useful than others. Yet how we handle them is totally up to us. This is a provocative remark, I am aware of that.

Let’s take the most famous example, Viktor Frankl. He was one of the most brilliant minds the world can get on psychotherapy and his work started to be really incredible while he was trying to survive several concentration camps of World War II. He had to fight for his life and survive the loss of his wife and parents. And he chose to find ways to turn this horrific externally triggered challenges into a work which became a legacy. 

Viktor Frankl sums it up quite well: “Between stimulus and response there is a space. In that space is our power to chose our response. In our response lies our growth and our freedom”.

Marilena Maris

Marilena Maris

Business economist, personnel developer and executive coach

Marilena Maris has been working with leaders and experts, on-site or virtually, in over 30 countries since 2008. She passes on her knowledge in the form of workshops, key notes, international programmes, coaching and training. She is particularly concerned with productivity and sustainable performance, also known as achieving results and keeping our sanity. She is also a shareholder and partner at MDI, holds a Master of Science in Executive Coaching & Training from the University of Vienna, and a BA in Business Administration from the International University of Applied Sciences in Krems aswel as several international certifications. She loves travelling and lives both in Austria and Germany as part of a patchwork family of 5 kids.

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