Embracing Digital Transformation

• #259 End of Windows 10: What Businesses Must Know Before 2025

  Dr. Darren and Denis O'Shea discuss the impending end of support for Windows 10 and its implications for small and mid-sized companies. They explore the challenges of upgrading to Windows 11, the importance of modern IT infrastructure, and the role of managed service providers in navigating these changes. The discussion also touches on the impact of generative AI on IT management and security, emphasizing the need for businesses to adapt to new technologies while maintaining robust security measures. ## Takeaways * Denis O'Shea shares his origin story and the founding of Mobile Mentor. * The end of Windows 10 support is a significant concern for businesses. * Windows continues to reign as the dominant platform in the enterprise space, making the end of its support a matter of significant importance for businesses. * Organizations face challenges in upgrading due to legacy systems and tech debt. * Extended support for Windows 10 is available but costly. * Businesses must take charge and embrace modern IT management tools, confidently empowering themselves to navigate the evolving IT landscape. * Managed service providers can help small businesses navigate IT upgrades. * Generative AI is rapidly reshaping the IT landscape and security concerns, underscoring the need for businesses to adapt to new technologies and stay ahead of the curve. * Companies should prioritize moving to Windows 11, a transition that promises enhanced security and features, for a brighter IT future. * A modern, cloud-first approach to IT management is essential for future success. As Microsoft prepares to end support for Windows 10, it’s crucial for businesses, particularly those operating in a fast-paced technological landscape, to understand the implications of this shift. With millions of devices still running Windows 10, each organization should ask: "What steps should we take to ensure a seamless transition to Windows 11?" This post will explore the key considerations and actionable insights surrounding this transition, ensuring your organization is well-prepared. Understanding the Impacts of End-of-Life (EOL) Staying current in technology is essential for maintaining security and leveraging the latest innovations. As Windows 10 approaches its end-of-life date, businesses must recognize the risks of clinging to outdated systems. Operating on an unsupported platform exposes organizations to significant security vulnerabilities and limits access to new features and performance enhancements. There's a real and pressing concern regarding legacy systems; outdated operating systems can become a primary target for cyber threats, making it imperative for businesses to adapt.Moreover, the transition to a new operating system is not merely a technical upgrade—it’s a strategic business decision that can enhance productivity. Upgrading to Windows 11 can provide your organization with improved performance, security features, and integrated AI capabilities that are invaluable in today’s digital-first environment. By understanding the impacts of EOL, businesses can proactively address potential challenges while seizing opportunities to enhance their operational efficiency. Preparing for the TransitionHow does a business ensure a smooth and effective transition from Windows 10 to Windows 11? First and foremost, conducting a comprehensive inventory of your current technology landscape is vital. Identify which devices are still running Windows 10 and assess their usability in relation to your organization's specific needs. Beyond this, looking at your existing management infrastructure is crucial; many businesses may still rely on outdated systems that impede efficient upgrades. Implementing modern management solutions can alleviate the transitional pain points. Solutions like Microsoft Intune streamline device management by allowing organizations to manage Windows and other devices from a single platform. This means businesses can automate system updates, enforce security measures, and reduce potential disruptions associated with transitioning to a new operating system. By taking action now, companies set themselves up for a successful transition and position themselves for future technological advancements. Embracing a Future-Ready InfrastructureAs businesses transition to Windows 11, it is essential to aim for a future-ready infrastructure that can adapt to ongoing technological changes. This forward-thinking infrastructure should focus on cloud-based solutions that enhance flexibility, scalability, and security. By leveraging cloud solutions, companies can centralize their management processes, making it easier to adapt to operational changes and feel optimistic about the future of their IT infrastructure.It's also vital to consider cybersecurity's role in this new environment. With the ever-evolving nature of cyber threats, organizations must prioritize investing in comprehensive security solutions that can protect their digital assets. This includes embracing modern practices like passwordless security measures and monitoring all endpoints to ensure potential vulnerabilities are promptly addressed, making your audience feel secure and protected in their digital environment. Getting Started on Your Transition JourneyThe time to act is now. Whether you’re a small, mid-sized, or large enterprise, every organization must transition from Windows 10 to Windows 11. Start with a thorough assessment of your current systems, and consider collaborating with a managed service provider who can guide you through this complex process. By taking proactive measures today, you can ensure that your organization is ready for the transition to Windows 11 and equipped for future technological challenges, empowering you to take control of your IT transition.Ready to make the leap? Evaluate your current setup, embrace modern management tools, and prioritize security. Your organization’s future may depend on it.```

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• #258 Supermicro: Pioneering Data Center Innovations

  Dr. Darren interviews Thomas Jorgensen from Supermicro. With over 30 years of experience in acceleration technology, Thomas Jorgensen brings a wealth of knowledge to the table. He shares his insights on the evolution of computing, the shift towards AI and video as primary technology drivers, the importance of pre-trained AI models for businesses, and the innovative approaches Supermicro is taking in building data centers, including the advantages of liquid cooling. The conversation also touches on the company's global production capabilities, the flexibility it provides in a changing geopolitical landscape, and the importance of proximity to tech giants in Silicon Valley. ## Takeaways * Thomas Jorgensen has over 30 years of experience in acceleration technology. * Supermicro has been a pioneer in creating advanced computing solutions. * The demand for AI and video is driving the need for better computing infrastructure. * Pre-trained AI models make AI more accessible to small and mid-sized businesses. * Liquid cooling is becoming preferred due to its efficiency and cost savings. * Supermicro can produce 5,000 racks a month, showcasing their large-scale capabilities. * The company has a flexible global production strategy to adapt to geopolitical changes. * Supermicro serves a wide range of customers, from small businesses to large enterprises. * Proximity to tech giants in Silicon Valley allows for rapid innovation and collaboration. * The evolution of GPUs has been significantly influenced by gaming and AI applications.Accelerating advancements in data centers are crucial in a world increasingly reliant on technology. This blog post delves into some of the most pressing topics around data center innovations—devices, liquid cooling, and the geopolitical landscape—providing insights for technologists and business leaders alike. These discussions are not only relevant but also crucial in understanding the tech landscape of tomorrow. Understanding Data Center InnovationsThe demand for more powerful computing solutions grows exponentially as the digital world expands. Data centers, the unsung heroes of this digital revolution, play a pivotal role in meeting this demand. Leading industry players are pushing the boundaries of technology by innovating in multiple areas such as server efficiency, artificial intelligence, and GPU deployment. The evolution of data infrastructures enables organizations to handle vast amounts of information better while performing complex analytical tasks.The necessary focus on acceleration in data centers stems from the growing importance of various services, such as AI and video streaming. Interestingly, trends reveal that the rapid growth of internet traffic, significantly driven by video content, is reshaping the design and functionality of data centers. Understanding this transformation allows businesses to remain ahead in an ever-competitive market. However, it is worth noting that mere capacity increase is insufficient; innovation must also prioritize efficiency to maintain operational costs effectively. The Advantages of Liquid Cooling TechnologyTraditionally, data centers relied heavily on air cooling systems to maintain optimal temperatures. However, the emergence of liquid cooling technologies has drastically shifted this paradigm, bringing a wave of efficiency and cost savings. Liquid cooling, powered by water, dissipates heat more effectively, leading to up to 40% of energy savings compared to conventional air conditioning systems. Adopting liquid cooling systems means data center operators can deploy more powerful equipment without overheating. This increased flexibility translates to greater operational efficiency. It also allows for the adoption of high-performance components, essential for handling computationally intensive tasks like artificial intelligence and large-scale data analytics. Decision-makers should consider that while the initial set-up can seem daunting, the long-term investment reaps significant returns, particularly regarding energy consumption and overall performance.Navigating the Geopolitical Landscape in Data Center InnovationsThe complex nature of today’s geopolitical environment is critical for businesses seeking to understand their tech infrastructure's global implications. Manufacturers are continuously adapting their production strategies to ensure stability and resilience. For example, diversifying manufacturing locations can help mitigate risks associated with regional conflicts or supply chain disruptions. Understanding and navigating this landscape empowers businesses to make informed decisions, leading to better technology deployment and resource allocation outcomes.Organizations looking to strengthen their technology infrastructure must pay attention to their supply chains and policies and regulations that may affect their operations. Understanding the geopolitical landscape allows businesses to make informed decisions that can lead to better technology deployment and resource allocation outcomes. By establishing a well-rounded approach, enterprises can leverage the innovations happening in data centers to enhance their overall service delivery. Preparing for the Future of ComputingStaying Informed: The Key to Preparing for the Future of ComputingEmbracing Digital Transformation: A Journey of Commitment and Foresight

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• #257 Big Change Starts Small: Digital Transformation from the Ground Up

  Luv Kapur shares his journey from software developer to engineering lead at Bit. He dives deep into how individual contributors can spark digital transformation from the ground up—and how executive support is essential to scale those efforts. Luv explores the cultural and organizational shifts needed for modern software development, the power of grassroots innovation, and the role of technology platforms like Bit in enabling smarter planning and delivery. He also discusses the critical importance of visibility, dependency management, and team collaboration in building scalable, successful software. Whether you're a developer, engineering leader, or anyone passionate about transforming tech organizations, this episode is packed with real-world insights and practical advice. ##Takeaways * Luv Kapur transitioned from a developer to an engineering lead at Bit. * Digital transformation requires a grassroots movement within organizations. * Executive support is crucial for successful technology adoption. * Cultural shifts are necessary for effective software development. * Technology can facilitate organizational change and improve efficiency. * Visibility in code and dependencies is essential for project success. * Bit provides a platform for managing code as reusable assets. * Collaboration between product managers and engineers is vital. * Understanding each other's work can reduce distrust between teams. * Engagement models should consider both engineers and executives. In the rapidly evolving world of technology and business, organizations continually search for innovative ways to enhance efficiency and deliver value to their customers. The concept of a composable organization has emerged, allowing companies to develop agile and scalable systems that can adapt to changing market demands. This blog post explores how embracing composability can revolutionize teamwork, optimize code assets, and ultimately lead to successful digital transformation. Embracing a Grassroots Approach to ChangeAt the core of a successful digital transformation is the need for grassroots initiatives that bubble up from within the organization, rather than being decreed from upper management. When team members see a genuine need for change, they are likelier to adopt new methods and technologies that enhance their work experience. A notable example of this is in organizations where frustrations arise when product managers, focused on delivering features, are disconnected from the underlying capabilities of existing code.Engaging engineers at the onset is crucial to driving collaboration between teams. With a shared understanding of both the challenges faced and the solutions available, they can champion new tools that foster composable architectures. Integrating tools that manage reusable code and provide visibility into existing assets encourages a culture of collaboration and innovation. By equipping product managers with this insight, they are empowered to make informed decisions that reflect the collective capabilities of their teams, rather than simply pushing out features without understanding the implications. Enhancing Visibility and Reusability in DevelopmentAdopting reusable code through composable methodologies addresses many inefficiencies caused by fragmented systems and siloed development teams. By managing code as an asset, organizations can foster a culture of reusability that allows teams to leverage existing components rather than reinvent the wheel for each project. The result? Reduced development time, improved application consistency, and improved user experiences.Accessing a comprehensive catalogue of reusable components is a game-changer for product managers. Not only does this provide insight into existing capabilities, but it also equips them with the data needed to prioritize development efforts effectively. With the assistance of various tools that visualize dependency management and component metrics, organizations can create a strategic approach to feature deployment that aligns with user needs. This, in turn, streamlines processes, enabling quicker responses to market demands and higher stakeholder satisfaction. Building a Composable Culture Across TeamsThe shift to a composable organization isn't just about technology; it also requires a culture change. Teams must learn to collaborate more fluidly, lessening the rigid boundaries typically seen in functional roles. The concept of forming "vertical teams" that encompass diverse expertise—ranging from development to design and product management—facilitates more nimble responses to market challenges. This culture of composability encourages dynamic resource allocation and a mindset focused on optimizing value delivery. When teams form temporary task forces tailored to specific projects, they can dissolve barriers that inhibit creativity and problem-solving. This approach also reflects the flexibility seen in other sectors, such as the film industry, which frequently assembles project-specific teams to drive results without the permanence of traditional corporate structures. The Future of Digital TransformationBecoming a composable organization requires commitment, collaboration, and a willingness to embrace change. By facilitating better communication, visibility, and the reusability of code assets, organizations can streamline their processes and foster an environment where innovation thrives. For businesses navigating the complexities of digital transformation, the shift toward composability could be the key to unlocking sustainable growth and success.To start your organization on this path, explore existing tools that promote composable architectures. Invest time in educating teams on the importance of collaboration and visibility, and watch as your organization's potential flourishes.---Are you interested in more insights on fostering innovation in tech? Share your experiences or thoughts in the comments below, and stay connected on social media to keep the conversation going!

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• #256 Unlocking AI's Potential in Business

  Andrew Amann shares his journey from working on nuclear submarines to leading an AI agency focused on innovation and process improvement in this conversation. He discusses the challenges businesses face in adopting AI, the importance of custom solutions in maintaining IP, and how natural language processing transforms data interaction. The conversation also explores the implications of AI on competition, consumer experience, and the potential for AI to enhance human capabilities. ## Takeaways * Andrew's background in nuclear submarines led to innovations in the supply chain. * He created three patents for tracking parts in manufacturing. * AI adoption is challenging due to CEO hesitance and decision-making complexities. * Custom solutions are becoming essential for businesses to maintain IP. * Natural language processing will change how we interact with data. * AI may reduce competition by standardizing services across industries. * Consumer experiences may improve with AI, but challenges remain. * AI can help businesses pivot quickly in a competitive landscape. * The future of marketing will rely on personalized AI interactions. * Humans will still play a crucial role in monitoring AI systems.In an era of ever-evolving technology, companies need to adapt to survive. The incorporation of Artificial Intelligence (AI) in business practices is not merely a trend; it's a pivotal shift that holds the potential to redefine operational efficiency and enhance service delivery. Below, we delve into the practical implications of AI adoption in organizations and strategies to maximize its benefits. Rethinking Structures: The Shift to Agile TeamsAs organizations explore AI's potential, a significant shift occurs in internal team dynamics. Instead of relying solely on large developer teams, businesses are beginning to reconsider their existing talent. What if companies could hire specific skill sets temporarily rather than outsourcing every project? This emerging concept promotes the idea of building tools that cater to immediate needs while training existing staff to manage them effectively.This approach empowers teams to become more versatile, allowing them to adapt quickly to technological changes. By embracing a mindset focusing on skill transfer and tool integration, organizations can improve their operational capabilities without the long-term commitment and associated costs of hiring additional full-time staff. This agility empowers teams to pivot quickly in response to market demands and internal challenges and inspires them to take on new opportunities. Navigating the AI Landscape: Decision-Making and ImplementationDespite AI's exciting possibilities, organizations face hurdles in their journey. The initial decision to incorporate AI can be daunting; leaders often grapple with the fear of making the wrong investments after absorbing an abundance of online information that positions AI as either an easy fix or an unattainable dream. However, numerous successful AI implementations demonstrate the transformative power of AI when implemented strategically.To navigate this landscape effectively, businesses must embrace a strategic approach: clarity. Establishing defined goals for AI implementation and understanding how AI tools can be tailored to meet specific organizational needs is essential. This involves a commitment to ongoing training for teams, ensuring they remain informed about the evolving technology and how it can be leveraged in their contexts. Moreover, fostering a culture that encourages experimentation can propel innovation. Organizations should cultivate an environment where teams feel comfortable testing new ideas and tools, with the understanding that not every initiative will result in success. This mindset supports continuous improvement and adaptation in an increasingly digital business landscape. Embracing Customization: The Future of AI and IPAI's customization potential represents a significant departure from traditional software solutions. Unlike generalized tools that often require companies to mold their workflows around an external platform, AI facilitates bespoke solutions that cater directly to an organization's unique requirements. By prioritizing the development of proprietary solutions, businesses can expand their intellectual property (IP) and, consequently, their competitive advantage. This shift enables organizations to differentiate themselves in a crowded marketplace, allowing them to respond more rapidly to the specific needs of their customers and the industry at large. However, it's crucial to recognize that while AI can streamline operations, it can pose challenges if mishandled. Organizations should approach customization cautiously, ensuring they balance the benefits of tailored solutions with the risks of over-automation that might dilute creative input and reduce employee engagement. Moreover, the ethical implications of AI, such as specific ethical concerns], should be carefully considered and addressed in the AI adoption process. The Human-AI Collaboration: Striking the Right BalanceAs AI continues to enhance workplace processes, a pivotal question arises regarding the human role in this collaboration. Many fear that the rise of AI will eliminate jobs, but history often reveals a different narrative. Technological advancements have consistently transformed roles rather than replaced them outright. Human involvement remains indispensable in overseeing AI's applications and ensuring its alignment with organizational values and goals, reassuring us of the irreplaceable value of the human touch in the future of work.This underscores the necessity for an innovative workforce that can adapt to technological changes and contribute their insights to AI-driven projects. To this end, organizations should prioritize upskilling and reskilling initiatives that prepare their teams for a future where AI tools augment their capabilities rather than replace them. Tasked with oversight, employees will be responsible for interpreting AI-generated insights, validating outputs, and ensuring that technologies maintain ethical standards.Whether you're a technologist or a business leader, embracing AI requires a comprehensive strategy that emphasizes agility, tailored solutions, and the irreplaceable value of the human touch. This 'human touch' in AI adoption involves empathy and human understanding, which will continue to be crucial in the AI era. As this technological revolution unfolds, organizations that proactively adapt will unlock new opportunities for growth and innovation. ---If you found these insights valuable, share them within your network, and consider staying updated on the latest in digital transformation practices. What innovative strategies have you considered implementing within your own organization? Let's continue the conversation in the comments below!

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• #255 AI, Disruption and Government, Managing Career Growth

  In this engaging episode, Dr. Darren and Dr. Madeleine Wallace discuss the current disruptions in the government and consulting sectors, emphasizing the importance of efficiency and effectiveness in programs. They explore the challenges of navigating government structures, the importance of data management, and the pressing need for upskilling and reskilling in the era of AI. The discussion underscores the importance of individual responsibility in career development and the evolving nature of work in response to technological advancements, particularly the urgency of adapting to the AI era. Takeaways Darren has completed his PhD dissertation. Disruption is affecting both the government and consulting sectors. Understanding the difference between efficiency and effectiveness is crucial. Government structures can complicate communication and data sharing. Data management challenges hinder effective program evaluation. The urgent need for upskilling and reskilling in the era of AI. Individuals must take responsibility for their career development. Agility is necessary for adapting to changes in the workforce.  The importance of merging data for effective evaluations. The workbook concept in Madeline's book provides practical tools for career development.In today's rapidly evolving digital landscape, individuals and organizations alike must navigate the complexities of technological disruption. From advances in artificial intelligence (AI) to shifting government policies, we find ourselves at the intersection of efficiency, effectiveness, and career growth. By embracing these changes rather than resisting them, we can harness new skills that enable us to thrive. In this post, we will explore the responsibilities of individuals in adapting to the digital age, the distinctions between efficiency and effectiveness, and the crucial role of continuous learning in staying ahead of the curve. Taking Ownership of Your Career DevelopmentAs technology continues to advance at an unprecedented pace, individuals must take charge of their career trajectories. Relying solely on employers to provide training and development opportunities is no longer a sustainable strategy. Today, it is essential for professionals to seek out resources such as online courses, industry publications, and professional networks, and engage in self-education actively. This proactive approach enables individuals to remain relevant in their fields and develop skills that enhance their marketability.One way to assess your current skill set is to identify your transferable skills—those abilities that can be applied across different roles and industries. Evaluate your strengths and weaknesses and determine how they align with emerging trends in your field. This self-reflection can help you create a personalized development plan. Start by setting specific goals, such as obtaining a certain certification or gaining experience in a particular area. Then, outline the steps you need to take to achieve these goals, such as enrolling in a course or seeking a mentor. Remember, you have the agency and responsibility to shape your future. The Balance Between Efficiency and EffectivenessUnderstanding the difference between efficiency and effectiveness can significantly impact the outcomes of organizational programs and initiatives. Efficiency focuses on the optimal use of resources—how quickly and cost-effectively tasks can be completed. Conversely, effectiveness is concerned with achieving the desired outcomes—whether a program meets its goals and delivers expected results. For example, a program designed to recruit underrepresented groups into STEM fields may be efficient but not effective if it fails to retain participants or foster career advancement. Therefore, organizations must evaluate both efficiency and effectiveness when assessing their processes. This dual approach involves not only measuring how quickly and cost-effectively tasks are completed but also ensuring that the program is achieving its goals and delivering expected results. By balancing these two factors, companies can refine their programs and contribute to a more equitable, inclusive workforce.Organizations must implement ongoing assessments of both efficiency and effectiveness to create a culture that values continuous improvement. This involves collecting data, analyzing performance metrics, and soliciting feedback from employees. In doing so, leadership can make informed decisions that promote growth and resilience in the face of change. Fostering a Culture of UpskillingIn an era of rapid technological advancement, organizations must prioritize upskilling to remain competitive. This cultural shift not only benefits employees by preparing them for future challenges but also positions organizations to adapt and thrive in an evolving marketplace. While companies should take responsibility for providing learning opportunities, employees must also embrace personal responsibility for their professional development.Investing in a growth mindset is not just beneficial, it's essential for fostering a culture of continuous learning. Organizations can support this by encouraging employees to engage in exploratory learning experiences, such as hackathons, workshops, and collaborative projects. By embracing the agile methodology and iterative design, individuals can experiment, gather feedback, and refine their learning processes through iteration. This can lead to innovative solutions that drive business success while empowering employees to take ownership of their careers.Moreover, organizations should recognize the critical role that human capital plays in navigating technological disruption. As technology continues to evolve, skilled individuals—those who can effectively leverage new tools and methods—are increasingly valuable assets. Companies that prioritize employee development will position themselves as leaders in their industries, ultimately benefiting from enhanced performance, innovation, and morale. Embrace the Digital TransformationThe advent of AI and other disruptive technologies brings both challenges and opportunities for individuals and organizations alike. By embracing personal responsibility for career development, understanding the distinctions between efficiency and effectiveness, and cultivating a culture of continuous learning and upskilling, we position ourselves to thrive in the digital age.As we navigate these changes, let us commit to being active participants in our economic future, equipping ourselves with the necessary skills to succeed. Here’s to embracing change and transforming our careers—because the future is ours to shape!

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