AI is a Team Sport: A Confluence of Diverse Technical and Soft Skills are Crucial for Success

BY SCOTT M. GRAFFIUS | ScottGraffius.com

Scott M Graffius - AI -AI is a Team Sport- A Confluence of Diverse Technical and Soft Skills are Crucial for Success



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This article covers the significance of well-rounded AI teams, including how both soft and technical skills are critical and fuel success. It’s informed by Graffius' work on AI projects as well as research and coverage from DARPA, IBM, IEEE, MIT, Microsoft, Software Engineering Institute, Stanford University, United States Artificial Intelligence Institute, and others (all listed in the bibliography section of this article).


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Introduction

Artificial Intelligence (AI) has emerged as a transformative force across a growing number of industries, revolutionizing how we live, work, and interact. From autonomous vehicles and virtual assistants to personalized recommendations and medical diagnoses, AI systems have become integral to our daily lives. Behind these cutting-edge, life-changing solutions are AI teams that possess a combination of soft skills—also known as core skills, interpersonal skills, people skills, power skills, transferable skills, or transversal skills—and technical expertise.

This article highlights the synergy between soft skills and technical skills in the world of AI. While technical skills provide the general foundation for AI development, it’s the soft skills that elevate AI projects to new heights. From effective communication and critical thinking to leadership and teamwork, soft skills play a pivotal role in translating technical knowledge and capabilities into real-world applications.

The thesis of this article is that the successful development and application of AI requires a combination of soft skills and technical expertise. Technical competencies alone are not enough. Rather, it’s the combination and integration of soft and technical skills that truly unlocks the power of AI.

Next, this article focuses on the importance of soft skills in the AI landscape, highlighting how they complement and enhance technical abilities. The collaboration between these skill sets drives AI innovation.

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Understanding Soft Skills in AI Teams

In the realm of AI, technical expertise often takes center stage. However, soft skills advance the successful outcomes of AI projects, as they facilitate effective communication, foster collaboration, and promote critical thinking. Soft skills are powerful facilitators of success.

Soft skills encompass a range of interpersonal and cognitive abilities that enable teams to work harmoniously, adapt to evolving challenges, and solve complex problems. In the AI landscape, where multidisciplinary teams come together to create innovative solutions, these soft skills are essential.

Effective communication stands at the forefront of soft skills in AI. AI teams must articulate complex technical concepts in a manner that is understandable to diverse stakeholders, including non-technical staff and internal or external customers/users. Clear communication promotes collaboration and ensures alignment of purpose and objectives throughout the AI development lifecycle.

Soft skills such as problem-solving and critical thinking are vital as well. AI teams frequently encounter multifaceted challenges, and it is through these soft skills that teams can identify potential bottlenecks, navigate complexities, and devise innovative solutions. By leveraging critical thinking, AI team members can evaluate different approaches, consider ethical implications, and make informed decisions that shape the development and application of AI systems.

Leadership and teamwork skills are also paramount. AI projects involve team members from diverse backgrounds, including data scientists, engineers, domain experts, designers, and others. Effective leadership enables the coordination of efforts and guides the project towards success. Similarly, teamwork skills foster an environment of trust and respect, promoting synergy among team members and enhancing overall productivity.

Recognizing the importance of soft skills in AI is crucial for fostering a balanced and effective team dynamic. It ensures that AI teams possess the interpersonal and cognitive abilities necessary to bring AI projects to fruition. The integration of soft skills alongside technical expertise sets the stage for a cohesive team capable of tackling complex AI challenges with agility and innovation.

The role of technical skills—including how they intersect with soft skills to create a powerful combination that drives success—are covered next.

The Role of Technical Skills in AI Teams

Technical skills provide the tools and knowledge required to design, build, and implement AI systems. This section explores the role that technical skills play in AI and their specific applications in various stages of AI projects.

  • Programming Languages and Algorithms: Proficiency in programming languages such as Python, Java, or R is essential. These languages enable team members to write efficient code, manipulate and analyze data, and implement machine learning algorithms. Understanding algorithms, from classic ones like linear regression to cutting-edge deep learning models, empowers AI professionals to leverage mathematical principles and statistical techniques to train and optimize AI systems.
  • Data Analysis and Management: AI relies on data, making data analysis and management skills crucial. AI team members need to be adept at collecting, cleaning, and preprocessing data, ensuring its quality and relevance. They must possess the knowledge of statistical methods, data visualization techniques, and data engineering practices to extract insights from complex datasets and prepare them for AI model training.
  • Machine Learning and Neural Networks: Technical skills in machine learning are at the heart of AI systems. Understanding machine learning algorithms, such as decision trees, support vector machines, or convolutional neural networks, enables AI team members to create models that can learn from data and make intelligent predictions or decisions. Expertise in neural networks and deep learning architectures equips professionals with the ability to develop complex models capable of handling tasks like image recognition, natural language processing, and reinforcement learning.
  • AI Frameworks and Tools: Proficiency in AI frameworks and tools (such as TensorFlow, Keras, PyTorch, Caffe, Scikit-learn, and others) are essential for building AI systems efficiently. These frameworks provide pre-built modules, libraries, and APIs that simplify the implementation of AI algorithms and models. Technical skills in utilizing these tools effectively enable AI team members to accelerate the development process, streamline model training, and optimize system performance.
  • Domain Knowledge and Application-Specific Skills: Technical skills also encompass domain knowledge and application-specific expertise. Understanding the nuances of the industry or problem domain in which AI is being applied allows professionals to tailor AI solutions to meet specific requirements. For example, healthcare-focused AI projects may require knowledge of medical terminologies and regulatory considerations, while AI solutions for financial services may demand expertise in risk assessment and fraud detection.

Technical skills are essential for AI projects. They enable team members to translate concepts, theories, and algorithms into practical applications. However, technical skills alone are not sufficient for success. The collaborative nature of AI development and the need for a well-rounded AI team—including the synergy between technical skills and soft skills—is covered next.

The Power of Synergy: Soft Skills and Technical Skills in AI Teams

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The convergence of soft skills and technical skills is where true innovation and breakthroughs occur. The successful development and application of AI systems rely not only on technical expertise but also on the harmonious integration of soft skills. Here’s some examples of the power of synergy between these skill sets, including how they work together to drive AI advancement:

  • Effective Communication and Technical Expertise: Communication bridges the gap between AI professionals and others who may not possess technical backgrounds. AI experts with strong communication skills can articulate complex technical concepts in plain English, ensuring that everyone involved understands the goals, challenges, and progress of the project. By effectively conveying ideas, AI professionals foster collaboration, gather valuable insights, and create a shared vision for AI initiatives.
  • Collaboration and Problem-Solving: Collaboration is at the core of AI development, and soft skills such as teamwork, empathy, and active listening facilitate effective collaboration among diverse team members. AI teams with strong collaboration skills can effectively pool their technical expertise, brainstorm ideas, and solve complex problems together. By leveraging their collective intelligence and diverse perspectives, AI teams can overcome challenges, refine AI models, and optimize the performance of AI solutions.
  • Critical Thinking and Technical Innovation: Critical thinking, coupled with technical expertise, leads to innovative AI solutions. AI professionals with strong critical thinking skills can evaluate different approaches, challenge assumptions, and identify potential shortcomings or biases in AI models. They can think creatively to address issues such as data biases or fairness concerns, ensuring that AI systems are developed responsibly and ethically.
  • Leadership and Team Empowerment: Effective leadership in AI projects involves establishing and maintaining a collaborative and inclusive environment, empowering team members, and harnessing their full potential. AI leaders with exceptional interpersonal abilities can inspire and motivate their team, foster a culture of continuous learning, and provide guidance in navigating complex technical challenges. They encourage interdisciplinary collaboration, respect diverse perspectives, and drive the team towards achieving AI objectives.

The synergy between soft skills and technical skills is the catalyst that drives AI projects towards success. It enables AI teams to go beyond technical expertise and develop AI systems that address real-world problems effectively. By embracing a holistic approach that values both soft skills and technical skills, organizations can foster an environment where AI thrives, resulting in innovative solutions that have a positive impact on society.

Strategies for developing and nurturing soft skills are covered next.

Developing and Advancing Soft Skills in AI Teams

AI teams need soft skills to be successful. Organizations and teams should prioritize the development and advancement of these skills. Here are some strategies to enhance soft skills and foster a well-rounded AI workforce:

  • Training Programs and Workshops: Implement specialized training programs and workshops focused on enhancing soft skills. Offer courses in effective communication, leadership (including how to navigate the phases of team development), problem-solving, critical thinking, and collaboration. These programs can provide AI professionals with the necessary tools and techniques to effectively apply soft skills in their work.
  • Interdisciplinary Collaboration and Knowledge Sharing: Encourage interdisciplinary collaboration by creating opportunities for AI team members to work alongside experts from diverse fields such as psychology, design, ethics, and business. This collaboration allows for cross-pollination of ideas, encourages different perspectives, and broadens the skill set of AI teams. Foster a culture of knowledge sharing, where professionals can learn from each other and leverage their collective experiences and expertise.
  • Real-World Project Engagement: Provide AI team members with opportunities to work on (other) real-world projects, allowing them to apply their soft skills in practical scenarios. Engaging in projects that involve interaction with clients, end-users, and stakeholders helps AI team members develop effective communication, problem-solving, and teamwork skills.
  • Continuous Learning and Professional Development: Encourage AI team members to engage in continuous learning and professional development activities. This can include attending conferences, participating in webinars, reading industry publications, and pursuing certifications in relevant areas. Promote a growth mindset among AI team members, emphasizing the importance of lifelong learning and staying current with the latest developments in both technical and soft skills domains.
  • Mentorship and Coaching: Establish mentorship and coaching programs where experienced AI professionals guide and support individuals with less experience. Mentors can provide valuable insights, share their experiences, and offer guidance on developing skills. Regular feedback and coaching sessions help AI professionals identify areas for improvement and provide targeted development opportunities.

By implementing these strategies, organizations can cultivate a workforce that excels not only in technical skills but also in the essential soft skills required for AI success. Nurturing well-rounded AI professionals creates a collaborative and adaptive environment, where AI teams can effectively address complex challenges, drive innovation, and deliver impactful solutions.

The next section wraps up this exploration.

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Conclusion


The successful development and application of AI systems rely on the synergy between soft skills and technical skills. While technical expertise forms the foundation, it's the integration of soft skills that elevates AI projects to new heights. Effective communication, collaboration, critical thinking, and leadership are among the key soft skills that enable AI teams to excel.

This article explored the significance of soft skills in AI, emphasizing their role in fostering effective teamwork, problem-solving, and innovation. It also acknowledged the indispensable role of technical skills in AI development, including programming languages, algorithms, data analysis, domain knowledge, and more.

Organizations can create well-rounded AI teams with a holistic set of abilities by embracing the power of synergy between soft skills and technical skills. AI team members with strong soft skills can effectively communicate their ideas, collaborate seamlessly, think critically, and provide leadership that empowers their teams.

To advance soft skills among AI professionals, organizations should invest in training programs, promote interdisciplinary collaboration, encourage continuous learning, and foster mentorship and coaching relationships. These efforts will help AI professionals develop the interpersonal and cognitive abilities necessary to thrive in the dynamic and collaborative AI landscape.

AI is a team sport that thrives on the confluence of soft skills and technical skills. By recognizing and embracing this synergy, organizations can unlock the full potential of AI, delivering innovative solutions that address real-world challenges and have a positive impact on the world.

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References/Sources

All of the supplied links were functional when this article was published.

  • Graffius, Scott M. (2023, April 26). The Science of High-Performance Teams [Presentation]. Talk delivered at the DevOps Institute’s SKILup Day 2023 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.15888.28169. DOI link: https://dx.doi.org/10.13140/RG.2.2.15888.28169.
  • Graffius, Scott M. (2023, January 9). Use the Phases of Team Development (Based on Bruce W. Tuckman's Model of Forming, Storming, Norming, Performing, and Adjourning) to Help Teams Grow and Advance: 2023 Update. Available at: https://scottgraffius.com. Digital Object Identifier (DOI): 10.13140/RG.2.2.10720.35846. DOI link: https://dx.doi.org/10.13140/RG.2.2.10720.35846.
  • Graffius, Scott M. (2022, May 13). Want Happier and More Productive DevOps Teams? [Presentation]. Talk delivered at DevOpsDays Geneva, Switzerland 2022 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.22252.85127. DOI link: https://dx.doi.org/10.13140/RG.2.2.22252.85127.
  • Graffius, Scott M. (2021, October 5). Navigate the Phases of Team Development with Speed and Agility for Happier and More Productive Teams [Presentation]. Talk delivered at the Institute of Electrical and Electronics Engineers IEEE Day 2021 Conference. Digital Object Identifier (DOI): 10.13140/RG.2.2.20055.19365. DOI link: https://dx.doi.org/10.13140/RG.2.2.20055.19365.

Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_Cite

How to Cite This Article

Graffius, Scott M. (2023, May 1). AI is a Team Sport: A Confluence of Diverse Technical and Soft Skills are Crucial for Success. Available at:
https://scottgraffius.com/blog/files/successful-ai-teams.html. DOI: 10.13140/RG.2.2.20321.79200.

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About Scott M. Graffius


Scott-M-Graffius---SA---v23050207-LR

Scott M. Graffius, PMP, SA, CSP-SM, CSP-PO, CSM, CSPO, SFE, ITIL, LSSGB is an agile project management practitioner, consultant, multi-award-winning author, and international keynote speaker. He is the Founder of Exceptional PPM and PMO Solutions™ and subsidiary Exceptional Agility™. He has generated over $1.9 billion of business value in aggregate for Global Fortune 500 businesses and other organizations he has served. Graffius and content from his books, talks, workshops, and more have been featured and used by businesses, professional associations, governments, and universities. Examples include Microsoft, Oracle, Broadcom, Cisco, Gartner, Project Management Institute, IEEE, Qantas, National Academy of Sciences, United States Department of Energy, New Zealand Ministry of Education, Yale University, Tufts University, and others. He has delighted audiences with dynamic and engaging talks and workshops on agile, project management, and technology leadership at 85 conferences and other events across 25 countries.

His full bio is available
here.

Connect with Scott on:


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About Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions

scott_m_graffius_agile_scrum_v22123007_lr_1000x1000_sq

Shifting customer needs are common in today's marketplace. Businesses must be adaptive and responsive to change while delivering an exceptional customer experience to be competitive.

There are a variety of frameworks supporting the development of products and services, and most approaches fall into one of two broad categories: traditional or agile. Traditional practices such as waterfall engage sequential development, while agile involves iterative and incremental deliverables. Organizations are increasingly embracing agile to manage projects, and best meet their business needs of rapid response to change, fast delivery speed, and more.

With clear and easy to follow instructions, the multi award-winning
Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions book by Scott M. Graffius (Chris Hare and Colin Giffen, Technical Editors) helps the reader:

  • Implement and use the most popular agile frameworkโ€•Scrum;
  • Deliver products in short cycles with rapid adaptation to change, fast time-to-market, and continuous improvement; and
  • Support innovation and drive competitive advantage.

Hailed by Literary Titan as “the book highlights the versatility of Scrum beautifully.”

Winner of 17 first place awards.

Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions is available in paperback and ebook/Kindle in the United States and around the world. Some links by country follow.



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About
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change

scott_m_graffius_agile_transformation_lr_1000x505

Thriving in today's marketplace frequently depends on making a transformation to become more agile. Those successful in the transition enjoy faster delivery speed and ROI, higher satisfaction, continuous improvement, and additional benefits.

Based on actual events,
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change provides a quick (60-90 minute) read about a successful agile transformation at a multinational entertainment and media company, told from the author's perspective as an agile coach.

The award-winning book by
Scott M. Graffius is available in paperback and ebook/Kindle in the United States and around the world. Some links by country follow.



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The short URL for this article is:
https://bit.ly/ai-teams

© Copyright 2023 Scott M. Graffius. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without the express written permission of Scott M. Graffius.





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Leverage the Power of the Minimum Viable Product (MVP)

BY SCOTT M. GRAFFIUS | ScottGraffius.com

Leverage the Power of the MVP - ScottGraffius_com - 2023 B - LR



Select
here to download this article as a PDF.

Minimum viable products (MVPs)—coined by Frank Robinson in 2001, and subsequently popularized by Steve Blank and Eric Ries—can be advantageous tools for the development of products and services. This article is informed by Graffius' first-hand experience with MVPs as well as research and coverage from the Harvard Business Review, IEEE, MIT Sloan Management Review, Product Development and Management Association, Product School, Project Management Institute, Scaled Agile, and others (all listed in the bibliography section of this article).

Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_Introduction

Introduction

Minimum Viable Products (MVPs) can be game changers. They can be used by businesses to validate ideas, reduce time to market, and minimize risks associated with building fully featured products from the outset. This article provides those involved or interested in Agile, Lean, Product Management, Product Development, Project Management, and entrepreneurship with information on the significance of MVPs and how to leverage them.

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Defining MVPs

First, it's paramount to understand what constitutes an MVP and why it matters. A Minimum Viable Product is a version of a product (or service) that incorporates just the essential features to address core customer needs and validate the viability of the concept. By employing an MVP, companies can gather valuable user feedback early on, allowing them to iterate, refine, and pivot their offering—if needed—based on market demand. This process saves time and resources, and it advances the chances of building a successful and customer-centric offering.

Here's a succinct definition of the Minimum Viable Product (MVP):

"The MVP has just those features considered sufficient for it to be of value to customers and allow for it to be shipped or sold to early adopters. Customer feedback will inform future development of the product." — Scott M. Graffius, Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions

Next, examples of seven successful MVPs—Zappos, Spotify, Airbnb, Facebook, Amazon, Dropbox, and Groupon—will illustrate the power of MVPs.

MVP Success Stories

  • Zappos: Zappos revolutionized the online shoe market by focusing on customer-centricity and rapid experimentation. Their MVP allowed them to validate their hypothesis, gather customer feedback, and iterate their offering to create a seamless and personalized shopping experience. Zappos is a prime example of the power of MVPs.
  • Spotify: Global music streaming platform Spotify started as a simple streaming service MVP and they and continuously improved and expanded it based on customer feedback. By iterating their product, Spotify became a household name. Their MVP-driven approach ensured a product-market fit and helped them stay ahead in a competitive industry.
  • Airbnb: Airbnb's success story speaks to the effectiveness of MVPs in validating an idea and subsequently scaling it to a global marketplace. Airbnb's founders started by testing their marketplace concept using an MVP strategy. By leveraging existing resources and validating demand through early adopters, they gained critical insights that shaped their platform's evolution. Today, Airbnb is a household name, offering unique accommodations worldwide.
  • Facebook: Facebook's journey from a simple MVP to the world's largest social network demonstrates the power of incremental growth and user feedback. Mark Zuckerberg and fellow Harvard College students and roommates Eduardo Saverin, Andrew McCollum, Dustin Moskovitz, and Chris Hughes initially created a minimal profile-based social networking MVP (initially called "Thefacebook"), focusing on connecting people at Harvard. Through continuous iterations and the addition of features based on user needs and feedback, Facebook reshaped the social media landscape, connecting billions of people globally.
  • Amazon: E-commerce giant Amazon is renowned for its relentless focus on customer experience. They started with an MVP approach, catering to customers' fundamental needs related to books, and subsequently expanded into new product categories incrementally. By prioritizing customer satisfaction, Amazon established itself as a trusted and innovative marketplace, continuously raising the bar for online shopping.
  • Dropbox: Dropbox, a prominent player in the cloud storage market, kick-started its journey with a basic file-syncing MVP. By offering a simple yet essential solution to the problem of file synchronization across devices, Dropbox gained traction and valuable user insights. They leveraged this feedback to iterate and improve their product, eventually becoming a leader in the highly competitive cloud storage industry.
  • Groupon: Popular online deals platform Groupon employed an MVP approach by testing deal offerings on a WordPress blog. That allowed them to validate market interest and adjust their strategy based on customer responses. By embracing the importance of market validation and adaptability, Groupon transformed into a global leader, providing users with discounted offers across various categories.

Key Principles and Best Practices for MVPs

Building a successful MVP requires adhering to key principles and best practices. It involves thoughtfully determining the relatively few features and limited scope to address core customer needs. Collecting and analyzing user feedback plays a pivotal role in making informed decisions and prioritizing enhancements. By embracing an iterative mindset and focusing on the most valuable aspects of the product, businesses can create an MVP that resonates with their target audience.

Avoiding Common Pitfalls and Challenges with MVPs

While MVPs offer significant advantages, they are not without challenges. Over-engineering the product, prematurely scaling, and failing to validate crucial assumptions are common pitfalls that can hinder success. It’s vital to strike a balance between building a viable product and avoiding unnecessary complexity. By remaining adaptable and open to change, businesses can navigate these challenges and increase the chances of achieving their goals.

Validating and Iterating via Lean and Agile Approaches

The MVP is particularly well-suited for Lean and Agile approaches and environments. Lean principles emphasize continuous learning, eliminating waste, and rapid experimentation. Agile (such as Scrum, Kanban, and SAFe) involve iterative development, frequent feedback loops, and continuous improvement. Utilizing Lean/Agile can help maximize the value of MVPs and increase chances of success.

Beyond the MVP

Once an MVP proves its viability, the focus shifts to scaling and launching the product. This stage requires a broad and deep understanding of the target market, competition, and customer preferences. It involves adapting the product based on user feedback, exploring different marketing strategies, and leveraging data-driven insights. Staying agile, continuously learning, and adapting to market dynamics are crucial for sustained growth and long-term success.

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Conclusion

MVPs are powerful tools for innovation and the successful development of products/services. The examples of Zappos, Spotify, Airbnb, Facebook, Amazon, Dropbox, and Groupon highlight the transformative impact of MVPs across diverse industries. By embracing the core principles, avoiding common pitfalls, and leveraging Lean and Agile approaches, businesses can unlock the full potential of their MVPs and pave the way for sustained growth, customer satisfaction, and market leadership with their offerings. Which makes MVPs game changers.

Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_References

Bibliography



Scott_M_Graffius_-_Blog_Spacer_-_v23111107_-_Cite

How to Cite This Article

Graffius, Scott M. (2023, May 15). Leverage the Power of the Minimum Viable Product (MVP). Available at:
https://scottgraffius.com/blog/files/mvp2023.html. Digital Object Identifier (DOI): 10.13140/RG.2.2.24064.20486. DOI link: https://dx.doi.org/10.13140/RG.2.2.24064.20486.

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980x120

black_spacer_lr_sq_v3

About Scott M. Graffius


Scott-M-Graffius---SA---v23050207-LR

Scott M. Graffius, PMP, SA, CSP-SM, CSP-PO, CSM, CSPO, SFE, ITIL, LSSGB is an agile project management practitioner, consultant, multi-award-winning author, and international keynote speaker. He is the Founder of Exceptional PPM and PMO Solutions™ and subsidiary Exceptional Agility™. He has generated over $1.9 billion of business value in aggregate for Global Fortune 500 businesses and other organizations he has served. Graffius and content from his books, talks, workshops, and more have been featured and used by businesses, professional associations, governments, and universities. Examples include Microsoft, Oracle, Broadcom, Cisco, Gartner, Project Management Institute, IEEE, Qantas, National Academy of Sciences, United States Department of Energy, New Zealand Ministry of Education, Yale University, Tufts University, and others. He has delighted audiences with dynamic and engaging talks and workshops on agile, project management, and technology (including AI) leadership at 86 conferences and other events across 25 countries.

His full bio is available
here.

Connect with Scott on:


follow-scott-m-graffius-on-twitter---v22122107-1000x1000-lr---sq

black_spacer_lr_sq_v3

About Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions

scott_m_graffius_agile_scrum_v22123007_lr_1000x1000_sq

Shifting customer needs are common in today's marketplace. Businesses must be adaptive and responsive to change while delivering an exceptional customer experience to be competitive.

There are a variety of frameworks supporting the development of products and services, and most approaches fall into one of two broad categories: traditional or agile. Traditional practices such as waterfall engage sequential development, while agile involves iterative and incremental deliverables. Organizations are increasingly embracing agile to manage projects, and best meet their business needs of rapid response to change, fast delivery speed, and more.

With clear and easy to follow instructions, the multi award-winning
Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions book by Scott M. Graffius (Chris Hare and Colin Giffen, Technical Editors) helps the reader:

  • Implement and use the most popular agile frameworkโ€•Scrum;
  • Deliver products in short cycles with rapid adaptation to change, fast time-to-market, and continuous improvement; and
  • Support innovation and drive competitive advantage.

Hailed by Literary Titan as “the book highlights the versatility of Scrum beautifully.”

Winner of 17 first place awards.

Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions is available in paperback and ebook/Kindle in the United States and around the world. Some links by country follow.



black_spacer_lr_sq_v3

About
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change

scott_m_graffius_agile_transformation_lr_1000x505

Thriving in today's marketplace frequently depends on making a transformation to become more agile. Those successful in the transition enjoy faster delivery speed and ROI, higher satisfaction, continuous improvement, and additional benefits.

Based on actual events,
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change provides a quick (60-90 minute) read about a successful agile transformation at a multinational entertainment and media company, told from the author's perspective as an agile coach.

The award-winning book by
Scott M. Graffius is available in paperback and ebook/Kindle in the United States and around the world. Some links by country follow.



black_spacer_lr_sq_v3

The short URL for this article is:
https://bit.ly/mvp-7

© Copyright 2023 Scott M. Graffius. All rights reserved. This material may not be published, broadcast, rewritten or redistributed without the express written permission of Scott M. Graffius.





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