Technology Trends Archives | Bespoke Training

Reskilling for 2030 and the Future of Work

The future of work is a constant —hotly debated— topic amongst business leaders, with leaders all weighing in with their predictions on what the world of work will look like in 5 or 10 years time.

If we look ahead to 2030, business strategist and futurist Dion Hinchcliffe predicts that profound shifts are on the horizon —around how businesses operate and what employees expect from their workplaces. It may sound distant, but it is critical to start preparing now for the inevitable changes.

The transformations are not just about technology; they encompass people, processes, and organisational culture: fundamentally altering the landscape of employment.

Macro changes to the work environment

According to the World Economic Forum, 50% of all employees will require reskilling by 2025. The pace of technological advancement and the disruption caused by automation and new business models mean that skills that are in demand today may be obsolete tomorrow. Organisations need to look at reskilling not just as an optional extra, but as an essential pillar of their strategy —to maintain their competitive edge and ensure their workforce is adaptable and capable now and in the future.

What’s more, a staggering prediction suggests that 85% of the jobs that will exist in 2030 haven’t even been invented yet! As a result, corporate training programs need to pivot away from traditional learning and towards fostering skills like critical thinking, creativity, and digital fluency—to prepare their team to be agile and upskill as required.

Five trends predicted to reshape the workplace by 2030

The future workplace must evolve into a more agile and responsive environment, where the focus shifts from profits to people.

This includes rethinking processes to make them more inclusive and building a culture that promotes continuous growth and learning. The ability to adapt to change will be a significant differentiator for success —not only for individuals but for entire organisations.

1. Flexible, hybrid, and remote work

The future office will have no fixed address. While this isn’t a new phenomenon, by 2030, companies will have proven the success of remote work and businesses will continue to embrace hybrid models that allow employees to blend work-from-home and office-based environments.

With greater investment in remote-first technology, processes and set up, by 2030 organisations will be in the perfect position to reap the rewards associated with flexible working. With flexibility comes increased productivity and job satisfaction —meaning better outcomes for companies and employees alike.

2. Spatial computing and new ways of working

As virtual and augmented reality technology matures, spatial computing will become a standard tool in the workplace. This will enable more immersive and interactive ways of working — especially for remote teams— enhancing collaboration across geographical boundaries.

One of the biggest criticisms and challenges associated with remote working, is the lack of face-to-face collaboration. With greater access and integration of spatial computing in workplaces, companies can harness the power and creativity of in-person collaboration, with the efficiency and employee satisfaction of remote or hybrid teams.

3. AI as a supportive co-worker

It’s predicted that by 2030, AI’s role in the workplace will not only include the automation of routine tasks but also extend into more complex domains of problem-solving. It will increasingly provide decision-making support, helping employees by analysing large sets of data quickly to offer insights that would be time-consuming for human workers to generate.

This evolution will transform AI into a collaborative partner, not merely a tool, enabling employees to focus more on creative and strategic initiatives that require human intuition and emotional intelligence. In doing so, AI will become integral in workplaces, acting as a supportive ‘co-worker’ that complements the skills of the human workforce.

4. Viewing employees as people, not pawns

The employee experience will take centre stage, with a significant shift towards employee satisfaction. Organisations will need to treat employees as key stakeholders whose insights and needs drive the corporate agenda, not just as resources to be optimised.

This means investing in their development, their careers and giving them pathways to learn and grow.

5. Embedding continuous learning into corporate culture

Continuous learning will transition from a perk to a fundamental requirement within the workplace. Companies will be compelled to integrate learning deeply into their daily operations, making it an indispensable part of every employee’s role. To stay competitive and adapt to rapid technological advancements, businesses must provide diverse learning resources and robust tools that facilitate self-paced, personalised upskilling.

This emphasis on continuous education ensures that employees can keep pace with industry changes and apply new skills immediately, enhancing their personal growth and professional viability.

Fostering a culture of continuous learning will be non-negotiable: the backbone of corporate success.

The key to long term success? Training your team

The bottom line? To be future-ready, you need to train your team to be ready. With a future so dynamic, investing in your team’s ability to adapt and learn new skills is essential. As we navigate the uncharted waters of emerging job roles and technologies, a proactive approach to training ensures that your workforce remains relevant and able to adapt and grow as things change.

By fostering a learning culture today, your organisation can secure its place in the competitive landscape of tomorrow —ready to capitalise on new opportunities, embrace new technologies and overcome challenges quickly and efficiently.

Prepare today for tomorrow’s opportunities

The future is not just about responding to changes but about anticipating them. As we look towards 2030, businesses that invest in their people, embrace new technologies, and build resilient and adaptable cultures will thrive.

Ready to get ahead? Bespoke can help you acquire the skills you need for the evolving world of work. Contact us today or explore our training directory to start your journey toward future readiness.

Key Takeaways from AWS Summit Sydney 2024

Technology Trends

Every year the best and brightest in the cloud world from Australia and New Zealand come together to talk tech. This dive deep into the latest trends and advancements happens at the biggest cloud event of the year: AWS Summit Sydney.

As technology continues to evolve at a rapid pace, staying up to date with the latest trends and advancements is crucial for businesses striving to remain competitive. Our team had the opportunity to attend the 2024 AWS Summit, where we saw what’s predicted to shape the future of cloud computing and AI.

In case you missed the AWS Summit this year, we’ve put together our top five takeaways, offering a glimpse into the exciting developments shaping the world we work in.

Takeaway 1: AI is everywhere —and it’s just getting started

Without a doubt, the hottest topic at this year’s Summit was the rise (and implementation) of AI. With close to half the sessions diving deep into its use, its risks, its pros and cons —it’s clear that both AI and Machine Learning will have a huge impact on the cloud space in the years to come.

But from the keynote address, it became evident that AI is still in its infancy —with lots of room to grow. The session highlighted the diverse applications of Generative AI, ranging from content generation to decision-making processes —but speaker Jonathan Creenaune, Head of Infrastructure at Atlassian, also emphasised the importance of responsible AI policies and the role of platforms like Amazon Bedrock in providing guardrails for ethical AI development.

Bedrock serves as a crucial tool for companies navigating the complexities of AI adoption. With its enterprise-grade features and comprehensive capabilities, Bedrock provides a framework for building and scaling AI solutions while adhering to responsible AI policies.

We were also introduced to AWS’s partner Leonardo.ai and insights into the future of AI image generation.

You can’t talk about AI without acknowledging the concerns: from ethical considerations to security challenges. Discussions at Summit underscored the importance of approaching AI implementation with caution and foresight. As businesses explore the enormous potential of AI, addressing these concerns becomes paramount to ensuring the responsible and sustainable integration of AI technologies into existing workflows and processes.

If you are a Team Leader looking to upskill your team in Generative AI – check out this eBook.

Takeaway 2: Security is a non-negotiable priority

Leading on from the concerns around AI is another ongoing concern for cloud users: security. With data breaches and cyber threats becoming increasingly prevalent, businesses must prioritise robust security measures. Sessions dedicated to security at the AWS Summit emphasised the importance of implementing comprehensive security protocols to safeguard sensitive data and protect against potential vulnerabilities.

This means looking at security holistically —as an organisation-wide problem to address. It’s about training your team to detect and be aware of security threats and the increase in AI-related cyber attacks, as well as upskilling your security team on the latest tactics to keep your company in a prime defensive position.

If you are keen to learn more about Safeguarding your Security Position with AWS, make sure you watch our recent webinar.

Takeaway 3: Companies are embracing serverless computing

Another key takeaway from the Summit was the growing popularity of serverless computing.

With serverless architectures, businesses can focus on developing and deploying applications without the added hassle of managing hard infrastructure. The sessions highlighted the scalability, flexibility, and cost-efficiency of serverless computing, showcasing its potential to revolutionise the way applications are built and deployed in the cloud.

Takeaway 4: A focus on ESG and CSR in Cloud Computing

In line with the global shift towards sustainability and corporate social responsibility (CSR), talks at this year’s Summit looked into the role of cloud computing in driving, promoting and championing environmental, social, and governance (ESG) initiatives.

Speakers underscored the importance of adopting eco-friendly practices and leveraging cloud technologies to minimise carbon footprints and promote sustainability across industries.

Takeaway 5: AWS Cloud fundamentals are as important as ever

At the end of the day, in spite of the huge excitement and advancements surrounding AI, an undeniable takeaway from the 2024 Summit was the importance of going back to basics.

From optimising resource allocation to fundamental development or administration skills, a solid understanding of cloud fundamentals remains essential for businesses embarking on their digital transformation journey. Some sessions focused on offering insights into best practices for cloud adoption —and highlighted the need for ongoing education and training to maximise the benefits of cloud computing in your organisation.

Accelerate your AWS Cloud Journey with Bespoke Training

The 2024 AWS Summit provided a wealth of knowledge and inspiration for businesses seeking to harness the power of cloud computing and AI. It’s clear that the future of cloud technology holds immense promise and opportunity.

By saying ‘yes’ to innovation, prioritising security, and investing in the basics, businesses can navigate the evolving digital landscape with confidence and drive sustainable growth in the years to come.

Bespoke helps individuals and companies supercharge their cloud journeys. Whether you’re just starting out, or seeking to deepen your expertise by diving deeper into a specialty, we provide training solutions to support your growth and success in the dynamic world of cloud.

Ready to get started? Explore our training directory today, or get in touch with our team for a tailored learning needs analysis.

Prepping your team for Generative AI

Technology Trends

The emergence of generative AI heralds a new era of creativity, innovation, and efficiency. But, as businesses embrace this cutting-edge technology, it’s vital to tread carefully. Teams need to have a strong plan in place, to help navigate the ethical, security and operational implications of this emerging technology.

Let’s dive deeper into a few of the major considerations for businesses harnessing generative AI, and how you can approach its use in your team.

Generative AI: What’s the big deal?

If you haven’t heard of generative AI at this stage (which is unlikely at this point!), it’s a form of AI based in language models that works to generate novel content based on prompts. It’s transforming the way teams across industries can work —boosting productivity, streamlining operations and acting as ‘another set of hands’ as teams work with reduced headcounts or try to do more with fewer resources.

But with all the good, comes the bad: content or programs created using public generative AI tools run the risk of breaching IP laws, failing compliance obligations and exposing data to serious breaches. So while these tools can do wonders in terms of productivity, it’s important to approach their use with caution, and have strong rules in place to mitigate any risks.

Some of the major issues flagged with material produced by generative AI are:

Inaccurate data
Plagiarism or IP breaches
Data leaks through third-party APIs
Bias
Security and privacy risks

How to use AI effectively in your organisation

As generative AI tools become more and more embedded in our work days and processes, the solution isn’t to avoid: but rather to ensure you’ve got the right ‘guardrails’ in place to steer use of this technology in the right direction. Let’s take a look at a few ways you can harness generative AI safely, securely, and ethically:

Use it for the right tasks: balancing human intervention

Incorporating generative AI into business practices requires careful consideration of its application: you can’t aim to replace humans with generative AI. Instead, it’s about identifying the areas that could be enhanced by the tool.

By strategically deploying generative AI in tasks where it can augment human capabilities rather than replace them entirely, organizations can use the technology to streamline operations, enhance creativity, and improve decision-making processes. Balancing the strengths of both human expertise and machine efficiency fosters synergy, allowing businesses to tap into the best of both worlds.

Bring all teams along

Generative AI isn’t just a tool for data scientists and engineers; it has the potential to impact every aspect of your organisation: from marketing and design to customer service and operations.

It’s essential to involve all teams in the conversation surrounding its implementation. By fostering cross-functional collaboration and ensuring that diverse perspectives are heard, you can harness the full potential of generative AI while mitigating potential risks —across the whole organisation.

Prioritise safety and security

With great power comes great responsibility, and this holds true for generative AI. This technology has advanced rapidly —faster than the security and safety protocols that surround it. This means that as you integrate this technology into your business processes, it’s crucial to prioritise safety and security within your organisation at every step —not rely on the security of the AI applications being used.

Implementing robust safeguards, such as encryption, access control, and data anonymization, can help protect sensitive information and mitigate the risk of misuse. Additionally, conducting regular security audits and staying abreast of emerging threats can ensure that your systems remain resilient in the face of evolving cybersecurity challenges.

Setting limitations and guardrails

While generative AI offers immense potential, it’s essential to establish clear limitations and guard-rails to prevent unintended consequences. By defining the scope of permissible uses and identifying potential risks upfront, you can mitigate the likelihood of ethical dilemmas or negative outcomes.

This may involve setting thresholds for AI-generated content, implementing content moderation mechanisms, or establishing ethical guidelines for AI development and deployment. Ultimately, putting thoughtful limitations in place can help ensure that generative AI is used responsibly and ethically in your organisation.

Train your team

As generative AI becomes increasingly prevalent in the workplace, it’s essential to invest in ongoing training and upskilling initiatives to ensure that your team remains adept at using this technology effectively.

Providing comprehensive training programs and resources can empower employees with the knowledge and skills they need to navigate generative AI tools confidently.

Embedding generative AI into your business operations requires careful consideration and proactive measures to ensure it’s used responsibly. At Bespoke, we’re excited to offer courses to help teams learn the skills needed to harness the power of AI, safely, securely and ethically —to help you and your team boost efficiency, supercharge productivity and fast-track adoption of this emerging technology.

If you’re ready to jump on board with generative AI, get in touch to build a learning path tailored to your team’s long term goals.

Top 6 Takeaways from Skillsoft’s Lean into Learning 2023 Report

Learning and Development, Technology Trends

Continuous learning and development have become indispensable in the modern workplace. Why? It’s the best way for companies to drive long-term success and foster organisational resilience. With technology evolving at breakneck speed, and disruptive forces building and reshaping industries, staying ahead of the curve has never been more critical. What lies at the heart of this transformation? Empowering your teams to learn.

Skillsoft have released its latest Lean into Learning report, offering a comprehensive overview of the latest trends shaping the landscape of learning and development. Here are our top takeaways:

1. Gen AI: Teams need to embrace this ‘Great Disruptor’

According to Deloitte, 94% of executives believe AI will be critical to business success in the next five years. With Gen AI bringing digital fluency and innovation to the forefront, organisations need to redefine what skills are needed to stay competitive and meet evolving customer demands. In this environment, learning becomes more than just a way to increase knowledge —it becomes a bridge to the roles of the future.

With Gen AI driving digital fluency and innovation, there’s a pressing need to redefine skill requirements to remain competitive and meet the evolving demands of customers, and upskill teams to harness this emergency technology effectively. Skillsoft’s report showed a surging demand for AI and machine learning expertise. This emphasises the mindset shift underway in the skills landscape. It’s crucial for teams to embrace AI skill development to navigate the challenges —and opportunities— of the future world of work.

2. Certifications are paving the path to success

In today’s competitive job market, certifications have emerged as a powerful differentiator for professionals seeking to enhance their skills and career prospects. Skillsoft’s report underscores the growing significance of certifications, with 97% of IT leaders acknowledging that having certified staff actually makes the business more valuable. Moreover, Skillsoft’s data indicates a significant uptick in the number of certifications held by IT professionals, with the average rising from four to nearly seven.

According to Skillsoft’s survey, certification holders report improvements in work quality, increased engagement, and enhanced productivity, underscoring the real-world advantages of certification in driving success —for both individuals and organisations. In an increasingly competitive technological space, certifications will be the key differentiator between novice practitioners and seasoned professionals, offering a clear pathway to success and recognition in the field.

3. Cybersecurity Training: safeguarding against evolving threats

Although not a new focus area, Skillsoft’s report showed that a focus on cybersecurity isn’t going anywhere. It’s gone from being a problem for the “tech guys” to now being a responsibility for all team members to uphold high cybersecurity standards.

The report highlighted the critical need for comprehensive training programs to mitigate risks and safeguard sensitive data. With the proliferation of AI-driven cyber threats, organisations must prioritise cybersecurity education to stay ahead of malicious actors and protect their digital assets from novel —and fast advancing— threats.

4. Instructor-Led training becomes central to the learning experience

Blending digital learning content with instructor-led training presents a compelling opportunity to deepen understanding and proficiency in complex subjects. As highlighted in Skillsoft’s report, the increasing demand for instructor-led training underscores the recognition of the irreplaceable value of human interaction in the learning journey. Certain topics need face-to-face interaction to solidify learning —an often overlooked aspect in an increasingly digital landscape. This blended learning approach enables businesses to effectively align with their strategic objectives while accommodating learners’ preferences, ultimately fostering a more engaged and successful workforce.

5. A rising need for fundamental technology skills

As organisations increasingly rely on cloud services and emerging technologies, it’s no surprise that fundamental technical skills like networking and server management are gaining more traction. These foundational skills serve as the backbone of modern IT infrastructure, enabling teams to build robust and scalable systems that support their business operations.

What’s more, a strong grasp of networking and server management principles lays the groundwork for exploring more advanced technologies and innovative solutions in the future. In essence, investing in fundamental technical skills is not only essential for meeting immediate business needs but also for fostering a culture of continuous learning and innovation that drives long-term success.

6. Balancing technical prowess with on-point ‘Power Skills’

While technology skills are crucial, power skills such as creativity, agility, and resilience are equally essential for success in the digital age. By investing in a balanced blend of technical and power skills development, organisations can position themselves for growth and resilience in an ever-changing world. Better leadership leads to better outcomes —so invest in your team to help future-proof your organisation.

That’s just the tip of the iceberg. If you’re wanting to learn more about the latest data surrounding training and development, take a look at Skillsoft’s full report: Lean into Learning.

Putting it into practice

How can you put these insights into practice? It starts with a commitment to training and development. Each of these key insights are based on skills — skills that can be learned.

Bespoke is the premier training partner for organisations wanting to train their team in the cloud. With expert instructor-led training available across a range of specialities and functions —from fundamentals up to advanced technical courses —we help organisations to embark on a transformative learning journey that empowers their workforce and propels them towards a brighter future.

Give your team the skills they need to succeed. Get in touch with our team today to put together a learning pathway tailored to your organisation’s goals.

7 biggest challenges for IT team leaders

Leadership, Technology Trends

It’s a tough time to be in IT leadership. Today’s teams are faced with a slew of new challenges daily: from cyber attacks, to talent shortages and the relentless pursuit of innovation. But, it’s not all bad news: with the right tools, leaders can position their teams to come out on top.

Let’s delve into seven common challenges that today’s tech leaders are up against, and explore how you can tackle them.

1. Increased cybersecurity threats

We’ve seen a marked increase in hacks, data leaks and system breaches in the past 12 months; it’s clear, the cybersecurity threats looms large. As businesses become more interconnected and increase reliance on data, the challenge is not just about building protections.

It’s about staying one step ahead of the sophisticated tactics employed by malicious actors. Teams need constant vigilance to protect sensitive data and maintain the integrity of digital infrastructures.

What you can do:

Regularly update security protocols
Invest in ongoing upskilling for your cybersecurity team
Stay informed about the latest cyber threats

2. Attracting and retaining high-performing teams

The war for top-tier talent wages on, with highly skilled professionals in high demand. Tech leaders are not only tasked with identifying and recruiting the best minds but also with retaining them —by creating work environments that nurture professional growth. Workplaces need to go above and beyond to cultivate a sense of loyalty and dedication among new and existing team members.

Without a strong talent pipeline and highly engaged workforce, organisational outcomes —and important considerations like security and optimisation— begin to suffer.

What you can do:

Foster a positive work culture
Offer competitive compensation
Provide pathways for ongoing skill development

3. Operationalising AI in practice

The democratisation of artificial intelligence (AI) has transformed the way businesses can work. It offers businesses the chance to boost efficiency, unlock automation and accelerate decision-making. But, actually implementing AI tools presents its own challenges — from choosing the right algorithms and managing diverse datasets to ensuring its seamless integration into existing workflows. It’s a big challenge for IT teams to overcome: game-changing in theory, but how do teams make it work in practice?

Successfully operationalising AI requires a commitment to continuous improvement and a proactive approach to staying abreast of AI advancements. By ensuring your team is well-versed in the latest AI trends, you position your organisation to reap the full benefits of artificial intelligence in the long run.

What you can do:

Regularly assess and optimise your current AI implementations
Stay informed about advancements in AI technology and methodologies
Invest in ongoing training for your team to keep their AI skills up-to-date

4. Data usage and management

Data is critical for business. It provides insights that drive decision-making and fuel innovation. But, effectively managing huge datasets —and being able to leverage them for business intelligence is a challenge that tech leaders grapple with.

The challenge is to create data management strategies that align with business goals and regulatory requirements, turning raw data into a strategic asset.

What you can do:

Prioritise solutions that offer advanced analytics tools
Ensure compliance with data protection regulations
Equip team members with the skills to interpret and leverage data effectively

5. Chasing endless innovation

As businesses grow and evolve, innovation is key to staying ahead of the competition. And, IT leaders often find themselves under constant pressure to lead the charge. But ‘innovation’ extends beyond adopting the latest technologies; it encompasses fostering a culture of innovation within the organisation.

It doesn’t just happen —leaders need to create a safe environment for experimentation, and be willing to take some (calculated) risks. How can leaders reduce risk while driving innovation? By building a highly skilled team —equip your team with the right skills, then encourage them to test, learn and grow.

What can you do:

Encourage a environment that values experimentation
Allocate resources for research and development
Implement a culture of ongoing learning

6. Maximising impact with limited resources

Budgetary constraints are always a consideration for tech leaders as they strive to align IT initiatives with organisational goals. Leaders must prioritise resources and investments strategically, ensuring that every dollar spent contributes to the overall objectives of the business.

In cloud environments, a team that understands cost-optimisation is critical to long-term success and ongoing resource management.

What can you do:

Conduct regular cost-benefit analyses
Plan out projects based on strategic goals
Prioritise efficiency and cost optimisation in your cloud architecture

7. Building future-ready employees

Tech leaders must also ensure that their teams are equipped to handle the ever-evolving technological landscape. A future-proof team means ongoing professional development, but also cultivating a culture of adaptability, innovation and hunger for growth.

When it comes to cultivating this culture, leaders need to look ahead, and work out plans to equip their employees with in-demand skills, in order to build a future-ready workforce.

What can you do?

Invest in ongoing training programs
Encourage a culture of curiosity and learning
Provide learning paths for upskilling

How can IT leaders navigate these challenges?

The role of an IT leader is akin to captaining a ship through uncharted waters. The challenges are many, but so are the opportunities for growth and innovation. Investing in your team’s development is the best way to ensure success in a dynamic environment.

With ongoing education and support from a training partner, your team can be equipped to deal with any challenges thrown their way.

Want to get started? Get in touch with our team to create a customised cloud training plan for your team, to supercharge their success in an ever-evolving tech world.

Top 5 cloud trends transforming businesses in 2024

Technology Trends

Technology is changing rapidly. To effectively build a resilient and future-proof business powered by the cloud, you need to know what trends are predicted to shape cloud computing.

Some IT leaders and managers may already be proactively embracing these trends, as they implement their cloud plans and strategies in the new year. Either way, these will soon be almost impossible to ignore.

Here are the five top trends you need to be across in 2024:

1. Hybrid and multi-cloud strategies

Embracing a hybrid and multi-cloud approach is no longer a nice-to-have —it’s a must for organisations seeking optimal flexibility and resource utilisation.

In 2024, the number of organisations using a multi-cloud or diverse strategy is expected to rise to 85%. A hybrid and multi-cloud strategy enables organisations to leverage the strengths of different cloud providers and avoid vendor lock-in. By strategically distributing workloads across various cloud platforms, businesses can boost performance, optimise scalability, increase security and ensure resilience in the face of unforeseen challenges.

2. ‘Zero-Trust’ cloud security

In an era where cybersecurity threats are more sophisticated than ever, a proactive approach to security is key. Companies are increasingly leaning into the ‘Zero-Trust’ model, emphasising continuous verification and authorisation, even for users within the network perimeter.

As we head into 2024, executives must continue to prioritise investment in robust security measures, ensuring data protection, compliance, and the ability to withstand evolving cyber threats.

3. Edge computing

As Internet of Things (IoT) devices continue to dominate the market, its need for low-latency processing has propelled edge computing to the forefront of cloud trends. Edge computing involves processing data closer to the “edge” of the network —reducing latency and enhancing real-time decision-making.

This year, it’s predicted that more organisations will be looking to use edge computing in their services and products —and cloud will play an integral role in the development of this technology.

4. AI and Machine Learning

The integration of artificial intelligence (AI) and machine learning (ML) into cloud services is becoming a game-changer. AI-as-a-Service (AIaaS) lets organisations access and implement advanced AI and ML capabilities without the need for in-house specialists, or access to the intense resources needed to power some of the larger AI models being used today (looking at you, ChatGPT!).

This democratisation of AI allows for enhanced data analysis, predictive modelling, and automation, driving innovation across various business functions —without diverting resources from other parts of the business.

5. Real-time cloud computing

The way decision-makers approach analytics has changed. Now, real-time and instant data is in high demand. Real-time cloud computing enables this instant data access and analysis, facilitating quicker decision-making and response times. From customer interactions to supply chain management, the ability to process and act on data in real-time has completely transformed business operations.

By providing scalable and on-demand resources, the cloud has not only fueled the demand for instant data access but has also democratised advanced computing capabilities —and we expect this to continue as more and more businesses reap the rewards of always-on data analytics.

Final thoughts

Navigating the cloud landscape in 2024 requires a strategic mindset and a proactive approach. Stay ahead of the curve, and lead your organisation into a future where cloud technology is not just a tool but a transformative force driving business excellence.

If you’re ready to upskill your team and empower them, take a look at our training directory to get started. Or, get in touch to talk about personalised organisational learning pathways to get your company armed and ready for the year to come.

News: AWS Gateway Load Balancer, AWS Network Firewall, Alexa and Australia’s cybersecurity spending

Technology Trends

November 2020 updates on AWS Gateway Load Balancer, AWS Network Firewall, Alexa running EC2 Inf1 instances and Australia’s cybersecurity spending news.

News: Amazon EventBridge, Amazon S3, AWS Lambda, Bespoke Anniversary, ASIC and Zoom

Technology Trends

October 2020 updates on Amazon EventBridge, Amazon S3, AWS Lambda, Bespoke Anniversary, ASIC and Zoom.

Bespoke Training’s 7th Anniversary: A Message from our CEO

Technology Trends

As of October this year, Bespoke Training has been operating for 7 years. To celebrate this milestone Bespoke Training CEO, Trent Rosenthal, looks back on 7 years of providing world-class cloud training.