Category: Learning

The Cloud Expert Imperative: Building and Sustaining a Skilled Workforce for the Digital Age

Cloud Talent FAQs covered in this article: 

  1. How can enterprise IT leadership attract quality cloud talent?
    • Prioritize the developer experience by creating an environment that encourages innovation and provides access to the latest technologies.
    • Reduce managerial red tape to empower engineers and accelerate innovation.
    • Implement automation and self-service capabilities to allow engineers to focus on high-value work.
  2. What strategies can be used to retain cloud talent in an organization?
    • Develop extensive and mandatory upskilling programs tailored to different roles within the IT department.
    • Link successful completion of training to performance evaluations and career advancement opportunities.
    • Foster a supportive environment that encourages innovation, provides cutting-edge tools, and supports remote work.
  3. Why is strategic hiring important for building a cloud-enabled workforce?
    • Balance talent maturity levels within teams to ensure a mix of experience and fresh perspectives.
    • Focus on hiring individuals with broad experience and problem-solving skills over just certifications.
    • Create entry-level positions to grow talent in-house and anchor leadership roles to guide technical direction.
  4. How can partnerships accelerate cloud development and upskilling?
    • Partner with cloud service providers and specialized training institutions to fast-track capability building.
    • Set clear productivity and capability expectations with partners to ensure knowledge transfer.
    • Assign cloud-specific leaders to manage partner relationships and align contributions with internal goals.
  5. What role does a supportive environment play in cloud talent management?
    • Encourage a culture of innovation and experimentation to keep cloud professionals engaged.
    • Provide access to the latest cloud technologies and tools for efficient and relevant work.
    • Embrace a remote-friendly work policy to attract and retain a diverse and global workforce.
  6. How can aligning cloud talent with business objectives improve cloud initiatives?
    • Ensure engineers understand the business context and customer journeys to tailor solutions effectively.
    • Develop products and platforms that directly support the enterprise’s digital strategy.
    • Share the responsibility for secure and regulatory-compliant delivery among all cloud professionals.

In recent years, the cloud has emerged as a pivotal force driving innovation, agility, and competitive advantage. As organizations increasingly migrate to cloud-based solutions, the demand for skilled cloud professionals has skyrocketed, creating a fiercely competitive market for this specialized talent. Enterprise IT leadership is now facing a critical challenge: attracting and retaining the quality cloud talent necessary to harness the full potential of cloud technologies.

The importance of cloud expertise cannot be overstated. It is the cornerstone upon which modern enterprises build their digital transformation strategies, enabling them to scale, adapt, and innovate at an unprecedented pace. However, the scarcity of seasoned cloud professionals has left many IT leaders grappling with talent gaps that threaten to impede their organization’s progress and growth.

This talent shortage is compounded by the high turnover rates within the tech industry, where skilled individuals are often lured away by the promise of more exciting projects, better compensation, or more flexible work environments. As a result, IT leaders must not only focus on hiring the best talent but also on creating an organizational culture and infrastructure that supports and retains these valuable team members.

In this article, we will explore actionable strategies that enterprise IT leadership can employ to address these challenges. By reimagining their approach to cultivating an engineering culture, upskilling their workforce, strategic hiring, partnering for development, fostering a supportive environment, and aligning talent with business objectives, leaders can create a robust ecosystem that not only attracts but also nurtures and retains top cloud talent. These strategies will be instrumental in building a resilient and innovative IT workforce capable of propelling their organizations into the future of cloud computing.

Cultivating an engineering culture for cloud talent

The foundation of a successful cloud-centric organization lies in its ability to foster an engineering culture that resonates with cloud professionals. This culture is characterized by a deep respect for the developer experience, a commitment to reducing bureaucratic obstacles, and the implementation of tools and processes that empower engineers to perform at their best.

Prioritizing the developer experience

To attract top cloud talent, enterprises must prioritize the developer experience. This means creating an environment where engineers have the freedom to innovate, access to the latest technologies, and the ability to work on meaningful projects that have a direct impact on the business. By providing a stimulating work environment, IT leaders can engage their cloud professionals more deeply, leading to increased job satisfaction and retention.

Reducing managerial red tape

Another key aspect of cultivating a strong engineering culture is the reduction of managerial red tape. Excessive bureaucracy can stifle creativity and slow down the pace of development, which is particularly detrimental in the fast-paced world of cloud computing. IT leaders should strive to streamline processes, simplify approval chains, and foster a culture of trust where engineers are empowered to make decisions. This not only accelerates innovation but also enhances the sense of ownership and responsibility among team members.

Implementing automation and self-service capabilities

Automation is a critical component of a modern engineering culture. By automating repetitive tasks and standardizing environments, enterprises can free up their cloud professionals to focus on higher-value work that requires their unique skills and expertise. Additionally, providing self-service capabilities allows engineers to provision resources and manage services independently, which speeds up development cycles and reduces dependencies on other teams.

By focusing on these key areas, enterprise IT leadership can create an engineering culture that not only attracts the best cloud talent but also supports their growth and development within the organization. This culture becomes a competitive advantage, enabling the enterprise to stay ahead in the race for innovation and excellence in the cloud domain.

Upskilling your existing workforce

As the cloud continues to evolve, so does the need for a workforce proficient in the latest cloud technologies and practices. Upskilling the existing workforce is not just an option but a necessity for enterprises looking to stay competitive in the digital age. A strategic approach to continuous learning and development can transform an organization’s existing talent pool into a powerful engine driving cloud innovation.

Extensive and mandatory upskilling programs

To ensure that all team members are equipped with the necessary cloud skills, IT leaders must implement comprehensive upskilling programs that are both extensive and mandatory. These programs should cover a range of topics from basic cloud concepts to advanced cloud-native development techniques. By making these programs mandatory, enterprises can guarantee a baseline level of cloud competency across their entire IT staff, which is crucial for maintaining a unified and efficient approach to cloud projects.

Tailored learning journeys for different roles

Recognizing that not all roles require the same level of cloud expertise, it is important to tailor learning journeys to the specific needs of different positions within the IT department. For instance, a cloud architect may need deep knowledge of cloud infrastructure design, while a software developer might benefit more from training in cloud-based development tools and platforms. Customized learning paths ensure that each team member acquires the skills most relevant to their role, thereby maximizing the effectiveness of the upskilling initiative.

Incentivizing participation and linking to performance evaluations

To motivate employees to engage with upskilling opportunities, enterprises should consider linking successful completion of training programs to performance evaluations and career advancement prospects. Offering incentives such as certifications, bonuses, or recognition can also encourage participation and underscore the organization’s commitment to professional development. By aligning upskilling with career growth, IT leaders can create a culture of continuous learning that not only enhances the organization’s cloud capabilities but also contributes to employee satisfaction and retention.

Through these focused efforts in upskilling, enterprise IT leadership can ensure that their teams are not only prepared to meet the current demands of cloud projects but are also poised to embrace future advancements in cloud technology. This proactive approach to workforce development is essential for building a sustainable and adaptable IT organization capable of leading the way in the cloud-first world.

Strategic hiring and team composition

In the quest to build a robust cloud-enabled workforce, strategic hiring and thoughtful team composition play pivotal roles. IT leaders must carefully consider not only the individual skills of new hires but also how these professionals will fit into and enhance the existing team dynamics.

Balancing talent maturity levels within teams

A well-rounded team should include a mix of experience levels, from seasoned veterans to enthusiastic newcomers. This diversity ensures a balance between deep expertise and fresh perspectives. Experienced professionals bring a wealth of knowledge and can mentor junior team members, while those newer to the field often bring innovative ideas and are eager to embrace cutting-edge technologies. By balancing talent maturity, leaders can foster an environment of continuous learning and knowledge sharing.

Focusing on broad experience and skills over certifications

While certifications can be indicative of a professional’s dedication to their craft, they should not be the sole criterion for hiring decisions. A candidate’s hands-on experience and problem-solving skills are often more telling of their ability to contribute meaningfully to cloud projects. IT leaders should look for individuals who demonstrate a broad understanding of cloud concepts, a proven track record of delivering cloud solutions, and the ability to adapt to new technologies and methodologies.

The role of entry-level positions and anchor leadership roles

Entry-level positions are crucial for bringing new talent into the cloud ecosystem. These roles allow individuals to grow and learn within the company, building loyalty and reducing turnover. Conversely, anchor leadership roles are essential for setting the technical direction and maintaining the quality of cloud initiatives. These leaders act as pillars within the team, providing guidance and stability as the organization navigates the complexities of cloud transformation.

By strategically hiring for both entry-level and leadership positions, and by carefully considering the composition of their teams, IT leaders can create a dynamic and resilient workforce. This approach not only addresses immediate project needs but also builds a pipeline of talent that can sustain the organization’s cloud endeavors well into the future.

Partnering to accelerate development and upskilling

In the rapidly advancing cloud landscape, partnerships can be a strategic asset for enterprises looking to accelerate development and upskill their workforce. Collaborating with external experts and organizations can provide access to specialized knowledge and resources that may be difficult to cultivate in-house in the short term.

Leveraging partnerships for capability building

Enterprises should seek partnerships that can help bridge the gap between current capabilities and future needs. These partnerships might involve cloud service providers, specialized training institutions, or technology firms with expertise in areas such as artificial intelligence, machine learning, and advanced cloud services. By leveraging the strengths of these partners, enterprises can fast-track the development of new capabilities and bring innovative solutions to market more quickly.

For example, explore how Cprime has helped a leading networking hardware manufacturer, trend-setting camera maker, and a fintech software development company by combining Cloud expertise with a holistic approach to building and retaining a top-notch team.

Setting productivity and capability expectations with partners

When entering into partnerships, it is crucial to set clear expectations regarding productivity and capability development. This includes defining the scope of work, the desired outcomes, and the metrics for success. It also means ensuring that partners are committed to not just delivering services, but also to transferring knowledge and skills to the in-house team. This collaborative approach to capability building can enhance the enterprise’s internal competencies in the long run.

Assigning cloud-specific leaders to manage partner relationships

To maximize the benefits of partnerships, enterprises should assign cloud-specific leaders to oversee these relationships. These individuals should have a deep understanding of the organization’s cloud strategy and the technical acumen to align partner contributions with internal goals. They act as the bridge between the enterprise and its partners, ensuring that collaboration is effective and that the enterprise’s interests are always prioritized.

By thoughtfully engaging with partners, enterprises can complement their internal efforts and accelerate the pace of cloud adoption and innovation. This strategic approach to partnership not only enhances the enterprise’s cloud capabilities but also supports the ongoing development and upskilling of its workforce, positioning the organization for sustained success in the cloud era.

Fostering a supportive environment for cloud talent

Creating a supportive environment is essential for retaining cloud talent and encouraging their best work. This involves nurturing a workplace that values innovation, provides access to the latest tools and technologies, and accommodates the needs of a diverse workforce.

Encouraging innovation and experimentation

A supportive environment is one that encourages innovation and experimentation. IT leaders should promote a culture where cloud professionals feel safe to take calculated risks and explore new ideas without fear of failure. This can be achieved by setting up innovation labs, hackathons, or dedicated time for personal projects. Such initiatives signal to employees that their creative efforts are valued and that the organization is committed to staying at the forefront of technology.

Providing access to cutting-edge technologies and tools

To attract and retain top cloud talent, enterprises must provide access to the latest technologies and tools. This not only enables professionals to work more efficiently but also helps them stay relevant in their field. IT leaders should invest in state-of-the-art cloud platforms, development tools, and continuous integration/continuous deployment (CI/CD) pipelines that facilitate a modern development environment. By doing so, they create a workspace that is both productive and appealing to high-caliber cloud professionals.

Creating a remote-friendly work environment

In today’s globalized workforce, flexibility is key. A remote-friendly work environment can be a significant draw for cloud talent who value work-life balance and may prefer or require the ability to work from anywhere. IT leaders should implement policies and technologies that support remote work, such as virtual collaboration tools, secure remote access to systems, and clear guidelines for remote work. This not only broadens the pool of potential talent but also demonstrates the organization’s commitment to accommodating diverse working styles and personal needs.

By fostering a supportive environment that encourages innovation, provides the right tools, and embraces flexibility, enterprises can create a workplace where cloud professionals thrive. This not only helps in retaining existing talent but also positions the organization as an employer of choice for prospective cloud experts looking for their next opportunity.

Aligning cloud talent with business objectives

For cloud initiatives to truly succeed, it is imperative that the technical expertise of cloud professionals is aligned with the broader business objectives of the enterprise. This alignment ensures that cloud solutions are not only technically sound but also deliver tangible business value.

Ensuring engineers understand business context and customer journeys

Cloud professionals should have a clear understanding of the business context in which they operate. IT leaders must ensure that engineers are aware of the customer journeys and the business challenges that their work is addressing. This can be achieved through regular cross-departmental meetings, inclusion in business strategy sessions, and transparent communication of company goals. When cloud talent is attuned to the business’s needs, they can tailor their solutions to better meet those needs, resulting in more impactful outcomes.

Developing products and platforms that support digital strategy

The development of products and platforms should be in direct support of the enterprise’s digital strategy. Cloud talent plays a crucial role in this by building scalable, secure, and resilient cloud infrastructure that can adapt to changing market demands. IT leaders should work closely with their cloud teams to ensure that the technical roadmap aligns with the strategic vision of the company, thereby enabling the enterprise to leverage cloud technologies for competitive advantage.

Shared responsibility for secure and regulatory-compliant delivery

Security and compliance are non-negotiable aspects of cloud services, especially for enterprises in regulated industries. Cloud professionals must share the responsibility for ensuring that the solutions they develop are secure and meet all regulatory requirements. This shared responsibility model requires IT leaders to provide ongoing education about security best practices and regulatory standards. Additionally, incorporating security into the DevOps process, often referred to as DevSecOps, can help inculcate a culture where security is a collective priority from the outset of any cloud project.

By aligning cloud talent with business objectives, fostering an understanding of the business context, and emphasizing the shared responsibility for security and compliance, enterprises can ensure that their cloud initiatives are both innovative and aligned with the company’s strategic goals. This holistic approach not only drives business success but also provides cloud professionals with a sense of purpose and contribution to the enterprise’s mission.

Charting the future with cloud talent and Cprime’s Global Talent Services

In the journey toward digital transformation, the strategies outlined in this article provide a roadmap for enterprise IT leadership to attract, develop, and retain the cloud talent that is so crucial for success in today’s technology-driven marketplace. By cultivating an engineering culture, upskilling the workforce, making strategic hiring decisions, leveraging partnerships, fostering a supportive environment, and aligning talent with business objectives, organizations can create a sustainable competitive edge.

However, even with the best strategies in place, finding the right talent can be a complex and time-consuming endeavor. This is where Cprime’s Global Talent Services can make a significant difference. With a focus on agile methodologies and a deep understanding of the unique challenges faced by enterprises in acquiring and nurturing tech talent, Cprime stands ready to assist organizations in building their dream teams.

Cprime’s Global Talent Services offers a comprehensive suite of solutions designed to help enterprises navigate the talent landscape with confidence. From talent acquisition and team augmentation to customized training and mentorship programs, Cprime provides the expertise and resources needed to empower your workforce. Whether you’re looking to fill specific roles with top-notch cloud professionals or seeking to enhance the skills of your existing team, Cprime’s services are tailored to meet your organization’s unique needs.

As we look to the future, the role of cloud talent will only grow in importance. Partnering with a seasoned talent services provider like Cprime can help ensure that your organization not only keeps pace with the rapid advancements in cloud technology but also leads the charge in innovation and excellence. With Cprime’s support, you can chart a course toward a future where your cloud initiatives drive business success and where your talent feels valued, motivated, and aligned with your company’s vision.

In conclusion, the path to securing and nurturing cloud talent is multifaceted and ongoing. By implementing the strategies discussed and engaging with partners like Cprime, enterprise IT leadership can confidently address the challenges of today’s talent market and build a workforce that is not only skilled in cloud technologies but also deeply invested in the success of their organization.

Unlock Productivity and Innovation With Our ChatGPT Primer

In today’s fast-paced digital landscape, efficiency and innovation are more than goals; they’re necessities. Generative AI, particularly ChatGPT, can empower you in this quest. But it’s not quick and intuitive—you need actionable strategies and best practices to get the most out of this transformative technology. 

As a first step down the road of leveraging generative AI for your business, let’s cover some basics. 

What is generative AI?

Generative AI is a broad category of tools and applications designed to automate and innovate various aspects of business and personal tasks. It has a wide range of applications, from content creation to data analysis. 

Knowing where to apply generative AI, whether in automating customer service or enhancing creative processes, is essential. Interestingly, the rise of generative AI can be likened to the “big data” buzz of 2011, indicating its transformative potential.

A brief ChatGPT primer

ChatGPT has emerged as a particularly accessible and popular form of generative AI. Its ease of use and real-world applicability make it a compelling choice for those looking to explore the world of AI. 

OpenAI’s juggernaut has gained considerable attention for its ability to perform tasks ranging from drafting emails to generating code. Enterprises in every industry are scrambling to figure out how to put this powerful application—and ones like it—to use solving real world business problems.

Leveraging ChatGPT in the enterprise: not just a tool, an assistant

In an enterprise setting, ChatGPT can serve as a valuable assistant, aiding in tasks like content generation and data analysis. Its capabilities extend far beyond simple text generation; it can help kickstart projects, providing a foundation upon which to build.

For instance, if your marketing team is working on a new campaign, ChatGPT can generate initial drafts for email copy, social media posts, or even whitepapers. This not only speeds up the creative process but also allows your team to focus on fine-tuning the content. 

Similarly, in the realm of data analysis, ChatGPT can sift through large datasets to identify key trends or anomalies, serving as a first pass before human analysts dive deeper into the data.

The “second-year intern” analogy

The model’s capabilities can be likened to that of a “second-year intern”—someone who has enough experience to handle a variety of tasks but still requires supervision. This has implications for job roles in the future. 

As ChatGPT takes on more routine tasks, professionals can focus on strategic, creative, and more complex aspects of their work. For example, a data scientist could use ChatGPT to handle initial data cleaning and basic analysis, freeing them to focus on more complex modeling and interpretation.

Technical expertise required

To maximize the utility of ChatGPT, a team with some technical expertise may be required, especially for tasks like scripting or using APIs. 

For example, integrating ChatGPT into your customer relationship management (CRM) system to automate certain customer interactions would likely require knowledge of APIs. Similarly, if you’re looking to use ChatGPT for more advanced data analysis tasks, some familiarity with scripting could be beneficial to customize the model’s queries and interpret its outputs effectively.

Caveats and limitations: know before you go

While generative AI and ChatGPT offer numerous advantages, it’s essential to be aware of their limitations. These limitations can impact everything from the quality of the output to data security, and being aware of them is crucial for responsible and effective use.

Error replication

One of the first things to note is that the model can replicate errors. For example, if you’re using ChatGPT to generate code snippets or automate parts of your software development process, it’s essential to double-check the output. An error in the code could lead to bugs that might be costly to fix later. Therefore, while ChatGPT can accelerate the development process, human oversight is still necessary to ensure accuracy.

The model is also notorious for replicating user errors. Users have reported being able to “trick” the AI with all manner of false information, with sometimes hilarious and sometimes nefarious results. In an effort to learn, ChatGPT has been known to absorb some very ugly ideas.

Outdated training data

Another limitation is the model’s training data, which cuts off in 2021. This makes it less reliable for tasks requiring real-time updates or current information. 

For instance, if you’re in finance and looking to get the latest insights on emerging markets or investment trends, ChatGPT out-of-the-box might not be the best tool for the job. Its data is not up-to-date, and therefore, it can’t provide real-time market insights.

Some other generative AI applications offer limited access to current online content, but this can be problematic in its own way. ChatGPT experimented briefly with a real-time browser plugin in beta, but shut it down fairly quickly when it found that the AI was bypassing security protocols and absorbing tremendous amounts of false or inappropriate data from the internet. Eventually, those problems will be solved. But until then, ChatGPT’s knowledge of the world ends in 2021.

Data security concerns

Data security is a significant concern, especially for enterprises dealing with sensitive or confidential information. Some companies are cautious about using models like ChatGPT due to potential data security risks. For example, if you’re in healthcare and considering using ChatGPT for automating patient interactions, you’ll need to be extremely cautious due to the sensitive nature of medical data—using the public ChatGPT application means accepting that every bit of data passing through it can be stored and reviewed to train the model going forward.

To address data security concerns, solutions like private instances of these models are being developed. These private instances would reside within a company’s own infrastructure, providing an additional layer of security. 

This is particularly useful for companies that need to adhere to strict compliance regulations, such as those in the financial or healthcare sectors. But really, every organization that wants to fully leverage generative AI would be well served to consider establishing a private instance to ensure proprietary and protected data remains safe.

Effective communication with ChatGPT: more than just commands

Interacting with ChatGPT or any other Language Learning Model (LLM) is not a dialogue to be taken lightly, especially in a corporate environment. The importance of iterative conversations and feedback loops is paramount for achieving precise and useful outcomes.

Clear and specific prompts

You might be looking to generate marketing copy for a new product launch. Instead of asking the model to “write some marketing content,” you could specify, “Please draft a compelling product description for our new line of ergonomic office chairs.” 

The more detailed your prompt, the more aligned the output will be with your marketing objectives. You can mold the AI’s responses by requesting specific tone, telling it who your target audience is, and describing the way the finished content will be used.

Being specific is crucial when you’re dealing with business data analysis. For instance, if you’re looking to understand quarterly sales data, asking “Provide insights into Q2 2023 sales data for our software products” will yield a more focused and actionable analysis than a vague query like “Tell me about our sales.”

The deeper you drill down into details, the more insights ChatGPT can provide, as long as the broader context is available to work from.

Iterative process and feedback

ChatGPT learns from the feedback you provide, which is invaluable when you’re iterating on complex projects like a business proposal. If the initial draft isn’t aligned with the client’s needs, you can refine your prompt or provide additional context. 

For example, if the first draft is too technical, you could say, “Revise the proposal to focus more on business outcomes and ROI.” Or, you could reference a particular sentence, paragraph, or section and say, “Expand on this statement by providing two examples of how it can be applied by HR professionals.”

Chain prompts for contextual outputs

Chain prompts allow you to build upon previous queries for more nuanced and contextual outputs. 

For instance, after generating a list of potential leads, you could ask, “What would be an effective email subject line to engage these leads?” The model, remembering your previous query, can suggest a subject line that aligns with the type of leads you’re targeting. 

Used in conjunction with iterative feedback, chain prompts can produce exceptional results with a little time and effort.

Identifying opportunities for generative AI: a framework for success

Understanding what machines excel at versus human capabilities is crucial when considering the implementation of generative AI. When evaluating tasks for automation, three key factors come into play: repeatability, scalability, and data orientation.

Repeatability

Tasks that are repetitive and follow a set pattern are prime candidates for automation. Generative AI excels in these areas because it can execute the same task consistently without fatigue or error, provided the task is well-defined. 

For example, if you’re looking to automate the generation of monthly reports, generative AI can be programmed to pull the same types of data and format them in a consistent manner, saving valuable human hours.

Scalability

Another factor to consider is scalability. If a task needs to be performed on a larger scale, generative AI can easily handle the increased workload without requiring a proportional increase in resources. 

For instance, customer service chatbots powered by generative AI can handle hundreds or even thousands of queries simultaneously, providing quick and consistent responses. This is something that would be incredibly resource-intensive if done by human agents.

Data Orientation

Generative AI shines in tasks that are data-oriented. These are tasks that require the analysis or interpretation of large sets of data. 

For example, generative AI can sift through vast amounts of market research data to identify trends or patterns, tasks that would take a human analyst a significant amount of time. The AI can then generate summaries or even predictive models based on this data, aiding in decision-making processes.

The transformative potential  

Generative AI and ChatGPT are not just technological novelties; they are tools that are already significantly impacting how we work and innovate. To truly grasp the transformative power of these technologies, we invite you to dig deeper by watching a comprehensive webinar that covers these topics and includes live demonstrations: How to Unlock Productivity and Innovation With Generative AI and ChatGPT.

By embracing these advancements, you’re not just staying ahead of the curve; you’re shaping it. Welcome to the future.

“I Know Kung Fu” – the Power of Just-in-Time Learning

There’s a scene in the movie The Matrix. Trinity and Neo are on the top of a skyscraper trying to escape the Agents, and there’s a helicopter there, and Neo looks at Trinity and says, “Can you fly that thing?” And Trinity says, “Not yet.” She then contacts Tank back on the Nebuchadnezzar and asks him for the flying instructions for the helicopter, and he uploads them into her brain. Trinity opens her eyes and says, “Let’s go!” And they jump in the helicopter and Trinity flies it with extreme competence.

Wouldn’t it be great if we could have that just-in-time knowledge when we need it? We’re facing a challenge. We have a lack of knowledge, so we’re unconfident in tackling that challenge, and it would be amazing if we could just plug our brains into some knowledge hub and have just the right amount of knowledge to complete the task just when we need it. Just like Neo does when he first enters The Matrix – “I know Kung Fu!”

Traditional learning

How do we traditionally tackle the lack of knowledge? Well, we normally go on training courses. And training courses give us a lot of knowledge about a particular subject or domain over a day, maybe two. And training is great. It gives us an excellent overview and insights into techniques, frameworks, processes, and skills that we might not have.

The problem with traditional training is our retention of the knowledge we gain. Most of the knowledge we gain in training dissipates quickly. We can’t hold a lot of information in our brains. Maybe we have made notes, but again—as we’re not in the moment of training anymore they seem unclear and nebulous. You wish you could take that bit of training again, just now, when you actually need it. So traditional training is potentially more inspirational than educational.

In a 2022 study by CompTIA, 30% of companies state they want more training alignment with development goals. And most times, these companies are looking for more modern approaches to learning (such as eLearning, simulation style, autonomous, self-paced learning, etc.).

Introducing learning pathways

So Cprime learning experts have created pathways. Pathways are a new approach to learning, moving away from going on a traditional two-day or a three-day course, once or twice a year, and instead getting bite-sized pieces of learning, just in time—you can pull the learning when you really need it, delivered in various modes.

They’re designed around competencies and you learn skills in a sequential, progressive way. They enable and empower you to be better at what you are trying to do. So they provide a two-pronged approach to learning: small bite-size, just-in-time learning when you need it, curated to help you understand and embed the knowledge in a much more timely and consumable way.

Timely and consumable

Let’s say, for example, you want to be a team coach, an agile coach in an organization, or a scrum master. Well, of course, you could go to training courses that give you a two-day overview of basic scrum mastery, intermediate scrum mastery, and even advanced coaching. Some of that knowledge, you will forget quite quickly. And you won’t get a chance to practice much of what you retain. So the training becomes semi-redundant because you’ve forgotten the main essence of some of that training, and you want to go back and revisit it again.

Instead, a pathway will break down the aspects of those big chunky courses into smaller bite-sized, topics of learning. And because we can break them down, we can also deliver them differently.

Multimodal learning

Various lessons are best taught in various ways. Examples include:

  • Attending a face-to-face session with a trainer
  • Reading a book
  • Taking an eLearning module
  • Watching a video
  • Practicing something in your own context safely and getting some feedback on how that went.

And we can couple all of those different modes of experiential learning together to attain certain thresholds or outcomes, including a particular level of competence in the knowledge domain you are trying to master.

You can do all of this at your own pace, at your own time, aligned with your employer’s needs and desires, so they can endorse a pathway you’ve chosen and give you internal accreditation. Or you could simply take these pathways yourself as part of your own personal development, managing and monitoring your own progress.

Pathways will enable you to learn what you need to in real-time, in a much more practical and consumable way that will meet the demands of your journey, and make it more practical in terms of your time scales and timeframes. And, hopefully, a little bit less stressful for you.

For more information, contact the experts at Cprime.