6 Key Metrics Leaders Use to Measure AI Success

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Artificial Intelligence (AI) is no longer a futuristic concept — it’s already shaping industries, redefining business models, and unlocking new growth opportunities. But as organisations invest more heavily in AI, leaders face an important question: how do we measure success?

Without clear metrics, it’s impossible to understand whether an AI initiative is delivering real value. Here are six key metrics leaders are using today to assess the success of their AI programmes.

1. Business Impact

The ultimate goal of any AI project is to drive meaningful business outcomes. Leaders look beyond technical performance to assess impact on revenue, cost savings, customer satisfaction, or operational efficiency.

Measuring tangible business results ensures AI investments stay aligned with strategic priorities.

2. Model Accuracy and Performance

While business value is critical, the technical performance of AI models still matters. Metrics like accuracy, precision, recall, and F1 score are commonly used to evaluate how well a model performs its intended task.

For leaders, it’s not about chasing perfect numbers — it’s about achieving high performance in a way that consistently supports business objectives.

3. Time to Value

In today’s fast-paced environment, speed is crucial. Leaders track how long it takes from initial investment to seeing measurable returns. A project that delivers results in months rather than years is far more attractive.

Reducing time to value often involves improving deployment processes, refining models more quickly, and ensuring rapid adoption across teams.

4. User Adoption Rates

No matter how advanced the AI solution, if employees and customers don’t use it, success is out of reach. Monitoring user adoption — both internally and externally — is essential.

Leaders often measure engagement rates, satisfaction scores, and feedback loops to ensure AI is not just implemented, but embedded in everyday workflows.

5. Cost versus Benefit

Leaders are increasingly scrutinising the financial sustainability of AI projects. It’s vital to weigh ongoing costs — such as cloud services, maintenance, and retraining models — against the benefits delivered.

By regularly assessing the cost-benefit ratio, businesses can make smarter decisions about scaling AI initiatives or reallocating resources.

6. Ethical and Responsible AI

Today’s leaders recognise that success isn’t just about profit — it’s also about trust. Monitoring AI systems for bias, fairness, and compliance with ethical guidelines is now seen as a key success metric. Organisations are setting clear standards for responsible AI and ensuring transparency in how decisions are made, building confidence with both customers and regulators.

Measuring AI success isn’t a one-size-fits-all exercise. It requires a balanced scorecard that reflects both technical achievements and real-world business impact. By focusing on these six key metrics, leaders can make smarter decisions, drive stronger outcomes, and ensure AI remains a strategic asset rather than an experimental project.

Interested in building AI capabilities in your organisation? Get in touch with Bespoke Training to discuss tailored AI training solutions across AWS and Microsoft. We’ll help your team develop the skills needed to deliver AI success.

What It Really Takes to Build AI-Ready Infrastructure

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The AI revolution is well underway, with businesses of all sizes racing to embed artificial intelligence into their operations. But building successful AI systems takes more than just good ideas and data—it demands serious compute power, the right infrastructure, and a skilled team to make it all work.

For many organisations, understanding these moving parts can be daunting. So, what exactly does it take to power AI initiatives, and how can you prepare your business to harness its full potential?

Understanding Compute Power for AI

AI workloads—particularly machine learning (ML) and deep learning (DL)—are significantly more resource-intensive than traditional applications.

Training a large language model or running image recognition at scale requires high-performance computing resources, including powerful GPUs (graphics processing units), TPUs (tensor processing units), or optimised cloud instances.

Cloud providers like AWS and Microsoft Azure offer scalable infrastructure designed specifically for AI workloads. Services such as AWS EC2 P4d instances or Azure’s NC-series VMs provide access to the kind of GPU acceleration that AI models need.

But selecting the right compute setup isn’t just about power; it’s about aligning resources with your use case. Do you need rapid prototyping for ML models? Real-time inferencing? Long-term model training? Each has different infrastructure needs.

Skills and Roles That Drive Success

Infrastructure alone won’t deliver AI success—you also need the right people. AI is a team sport. Key roles include:

  • Data Scientists to design, build, and train models
  • Machine Learning Engineers to productionise models and integrate them into systems
  • Cloud Architects to design scalable, secure AI platforms
  • DevOps or MLOps Engineers to streamline deployments, monitoring, and updates

These professionals must be fluent not only in data science but also in the underlying compute architecture, storage, and cloud-native tools that support AI workflows.

From Infrastructure to Ecosystem

Success with AI also depends on having the right ecosystem—tooling, frameworks, and platforms. Cloud-native services like AWS SageMaker or Azure Machine Learning provide managed environments to reduce complexity and accelerate delivery. Storage and data pipelines must also be optimised to handle large volumes of structured and unstructured data.

Security, compliance, and cost control are equally critical. AI projects often involve sensitive data and can incur substantial costs if left unchecked. Building in guardrails through automated policies, budget alerts, and governance frameworks is essential.

The Training Imperative

At the heart of it all is one key element: skills development. No matter how powerful your infrastructure, your AI ambitions will falter without a capable team. Continuous training is not a nice-to-have—it’s business-critical. AI is evolving at pace, and staying current with cloud AI services, emerging tools, and best practices is essential for maintaining a competitive edge.

At Bespoke, we specialise in upskilling technical teams across AWS and Microsoft platforms, with targeted AI and infrastructure training tailored to your business needs. Whether you’re just starting your AI journey or scaling an existing programme, our expert-led courses help your team build the knowledge and confidence to deliver real results.

Reach out to Bespoke today to discuss how our AI and infrastructure training solutions can support your team’s success.

Cloud and Tech Podcasts Worth a Listen in 2025

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The cloud and tech landscape is constantly evolving, and staying up to date can feel like a full-time job. Podcasts offer a smart, convenient way to keep your finger on the pulse — whether you’re walking the dog, commuting, or grabbing a quick coffee.

Here are five cloud and tech podcasts worth tuning into in 2025, including some global favourites and excellent homegrown Australian options.

1. Cloud Reset – The Podcast

Hosted by tech journalist David Savage, Cloud Reset dives into the ever-changing world of cloud strategy, digital transformation, and the role of leadership in navigating modern IT landscapes.

It’s a thoughtful, conversation-led show with insights from CIOs, tech leaders, and innovators who are reshaping how businesses leverage cloud. Whether you’re in the trenches of IT or leading transformation at the top, this one’s a must.

Have a listen…

2. Cloud Atlas


Taking a slightly more technical lens, Cloud Atlas is ideal for developers, architects, and cloud engineers. With deep dives into cloud architecture, DevOps practices, and platform-specific tips (especially AWS, Azure, and GCP), this podcast is packed with practical takeaways.

Expect a mix of solo episodes and guest interviews that explore real-world use cases, technical patterns, and what’s coming next in the multi-cloud era.

Have a listen…

3. Cloud Pod

One of the most consistent and entertaining cloud news roundups, Cloud Pod blends weekly commentary with humour and solid analysis. The hosts — industry insiders with a knack for translating vendor updates — cover all the big names: AWS, Azure, Google Cloud, and more.

It’s particularly handy if you need to keep pace with the ever-expanding features and services each cloud provider releases.

Have a listen…

4. The Data Cloud Podcast

Produced by Snowflake, The Data Cloud Podcast is more than just a vendor-led show. With interviews from CDOs, data scientists, and cloud practitioners, it covers how organisations are harnessing data in the cloud to drive innovation.

While there’s a slight focus on Snowflake’s ecosystem, the broader themes — data governance, analytics, AI — make it relevant to anyone working in modern tech.

Have a listen…

5. Great Things with Great Tech

An Aussie gem hosted by Anthony Spiteri, Great Things with Great Tech features innovative tech companies doing, well — great things! With a strong focus on cloud-native businesses, SaaS startups, and the tools reshaping enterprise IT, it’s a great way to discover the minds behind the platforms you use (or will soon be using). It’s especially valuable for IT leaders, architects, and developers curious about emerging tech.

Whether you’re a CTO, engineer, or just passionate about cloud and tech, these podcasts offer valuable perspectives for wherever you are in your learning journey.

Have a listen…

Upskill and get certified in AWS and Microsoft

If you’re looking to take that journey further, Bespoke Training is here to help.

As cloud and tech training experts, we deliver high-impact AWS and Microsoft training tailored to your team’s needs — whether you’re building foundational skills or diving into advanced topics like AI, security, or architecture.

Explore our flexible, instructor-led options or chat to us about your next training initiative. Because in a world moving fast, the right training partner makes all the difference.

How Businesses Are Using CoPilot in 2025

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Microsoft CoPilot has rapidly evolved into an essential tool for businesses looking to streamline workflows, boost productivity, and harness the power of AI.

In 2025, its capabilities have expanded significantly, making it a must-have for organisations that want to stay ahead in an increasingly AI-driven world. But what’s new, and how can you ensure your team is maximising its potential? Let’s dive in.

The Evolution of CoPilot

Since its introduction, Microsoft CoPilot has transitioned from a handy AI assistant into a deeply integrated part of the Microsoft 365 ecosystem. In 2025, CoPilot is no longer just a chatbot or a writing assistant; it’s a fully-fledged AI-powered collaborator embedded across Word, Excel, PowerPoint, Outlook, Teams, and beyond.

It leverages advanced machine learning models to interpret context, automate repetitive tasks, and generate high-quality content with minimal input.

CoPilot’s latest advancements include:

  • Deeper customisation – Organisations can now tailor CoPilot’s outputs to align with company-specific guidelines and industry regulations.
  • Enhanced security features – With growing concerns around data privacy, Microsoft has strengthened CoPilot’s security, ensuring compliance with global data protection standards.
  • Integration with third-party apps – CoPilot now works seamlessly with non-Microsoft applications, expanding its usefulness across various business functions.
  • More intuitive automation – AI-driven workflow automation reduces manual intervention, making processes smoother and more efficient.

How Companies Are Leveraging CoPilot

With these new capabilities, businesses are leveraging CoPilot in innovative ways, including:

1. Supercharging Productivity

CoPilot dramatically reduces time spent on repetitive tasks. Employees can generate reports, create presentations, summarise emails, and draft content in a fraction of the time it used to take. With built-in AI-driven insights, CoPilot can even suggest improvements and highlight trends that might otherwise go unnoticed.

2. Improving Communication and Collaboration

In Microsoft Teams, CoPilot has become an invaluable virtual assistant. It summarises meeting notes, generates action items, and even drafts responses based on prior conversations. This ensures that teams stay aligned, even in remote or hybrid working environments.

3. Driving Data-Driven Decision-Making

Excel’s CoPilot integration has made complex data analysis accessible to everyone. Whether it’s forecasting trends, identifying anomalies, or automating financial modelling, businesses can now extract valuable insights without requiring advanced data science skills.

The Skills Gap: Why Training Matters

Despite CoPilot’s ease of use, unlocking its full potential requires a level of digital literacy that many teams lack. The rapid development of AI tools means that businesses need to continuously upskill their workforce to stay competitive.

This is where our Bespoke Skills Assessment and CoPilot Training come in. Our training solutions ensure your team is not just using CoPilot but leveraging it strategically to enhance workflows, improve efficiency, and drive real business value.

Want to see where your team stands? Start with our Cloud Skills Assessment to identify gaps and opportunities. Then, equip your team with practical, hands-on CoPilot training to make the most of AI in the workplace.

Get in touch today and future-proof your organisation with CoPilot expertise!

The Rise of AI-Driven Cyber Threats in Australia and New Zealand

Artificial intelligence (AI) is revolutionising industries globally, offering efficiencies and opportunities once considered unattainable. However, this transformative technology is not exclusive to legitimate use cases.

Cybercriminals are harnessing the power of AI to launch sophisticated attacks, and organisations in Australia and New Zealand are increasingly at risk.

The New Wave of Threats

AI has enabled attackers to automate and amplify their efforts, making cyberattacks faster, more targeted, and harder to detect. Some common examples of AI-driven cyber threats include:

  • AI–Powered Phishing: Using machine learning, attackers generate convincing phishing emails that mimic the language and style of trusted sources. These messages are often indistinguishable from legitimate correspondence.
  • Deepfakes: Cybercriminals use AI to create realistic audio and video for impersonation scams. For example, deepfake technology can simulate the voice of a CEO, instructing an employee to transfer funds.
  • Malware Evolution: AI can modify malicious code in real-time to evade traditional detection systems, making malware more adaptive and effective.

The stakes are high, particularly for organisations managing sensitive data or operating critical infrastructure. A recent report by the Australian Cyber Security Centre (ACSC) highlighted that 18% of public sector, enterprise, academia, and supply chains incidents compromised assets, networks or infrastructure, many of which leveraged advanced technologies like AI.

Why Australia and New Zealand Are Targets

Australia and New Zealand are attractive targets for cybercriminals due to their high digital adoption rates and economic reliance on technology. Key sectors such as healthcare, finance, and utilities are particularly vulnerable. The shift to remote and hybrid work models has also expanded the attack surface, creating new entry points for cyber threats.

Additionally, the regulatory landscape is evolving. In Australia, the introduction of stricter data privacy laws, such as amendments to the Privacy Act, has heightened the focus on cybersecurity compliance. Similarly, New Zealand’s Cyber Security Strategy prioritises resilience against evolving cyber threats.

Defending Against AI-Driven Cyberattacks

To counter these threats, organisations must adopt a proactive approach to cybersecurity. Key strategies include:

  • Implementing Zero-Trust Security Models: Treating all network activity as untrusted by default helps mitigate the risks of lateral movement by attackers.
  • Leveraging AI for Defence: AI-powered tools can identify and respond to threats in real-time, outpacing human capabilities.
  • Ongoing Training: Employees remain the first line of defence. Comprehensive training programs on cybersecurity awareness are crucial to reducing human error.

Partnering for Security Success

Building a robust cybersecurity posture requires more than just technology—it demands skilled teams capable of leveraging tools effectively. Bespoke Training offers cybersecurity training for organisations using AWS and Microsoft technologies. Our instructor-led courses empower IT teams with the skills to navigate and mitigate the complexities of today’s threat landscape.

Whether you’re addressing AI-driven threats or implementing best practices in cloud security, we’re here to help.

Ready to kick-start your cybersecurity journey? Explore our training directory today or get in touch with our team to find the right learning path for your cybersecurity needs.

Generative AI Trends You Can Not Ignore in 2025

Generative AI is no longer a futuristic concept confined to research labs—it is now transforming industries, workflows, and even creative processes. Companies like AWS and Microsoft are driving innovation in this space, making it crucial for businesses to stay ahead of the curve.

Here are the top five emerging trends in generative AI that you need to know about to remain competitive in 2025:

1. Personalised AI Agents

AI agents are evolving beyond basic chatbots into highly specialised, personalised tools that can automate complex tasks. These agents are being integrated into business operations to handle customer service, sales support, and even technical troubleshooting. Microsoft’s Copilot is a prime example, using generative AI to assist users in writing emails, creating presentations, and even coding.

AWS is also making strides with AI agents through its Bedrock service, allowing businesses to build customised AI agents that can interact with customers or perform backend tasks. As these agents become more advanced, they will transform how businesses operate, offering both time and cost efficiencies.

Companies like CareerOne are utilising personalised AI agents to drive AI-powered video interviews.

2. Synthetic Data for Model Training

One of the biggest challenges in AI development is the availability of high-quality, unbiased data. Enter synthetic data—artificially generated data that mimics real-world datasets without compromising privacy. This trend is gaining traction as organisations look for ways to train their AI models without dealing with sensitive customer information.

AWS and Microsoft are investing in synthetic data solutions to help businesses overcome data limitations. Synthetic data is particularly valuable in sectors like healthcare and finance, where privacy regulations are stringent.

3. AI-Powered Creative Tools

Generative AI is revolutionising creative industries by enabling businesses to produce content at scale. Microsoft Designer, for example, helps users generate custom graphics and marketing materials using AI. Similarly, AWS offers tools through SageMaker JumpStart that allow businesses to build AI models for content creation.

These tools can generate everything from social media posts to video scripts, helping companies save time and personalise their messaging. In an age where digital content is king, AI-powered creative tools are becoming essential for marketing and brand management.

4. Multimodal AI Models

The future of AI lies in multimodal models—systems that can understand and generate content across multiple data types, such as text, images, audio, and video. These models are opening up new possibilities for applications in gaming, virtual training, and e-commerce.

Imagine a virtual assistant that can not only answer questions verbally but also generate a video tutorial or a 3D product model. Both AWS and Microsoft are exploring multimodal capabilities, aiming to create more intuitive and versatile AI solutions.

Key industries from healthcare to ecommerce could benefit from multimodal AI models.

5. Ethical and Regulatory Frameworks

As generative AI becomes more sophisticated, ethical concerns are rising. Issues like bias, misinformation, and data privacy are at the forefront of discussions around AI governance. Microsoft and AWS are both committed to developing responsible AI frameworks to ensure their technologies are used ethically.

This trend is crucial for businesses looking to adopt generative AI responsibly. New regulations are expected to be introduced globally, making it essential for companies to stay informed and compliant.

Stay Ahead with Bespoke’s Latest Courses

Generative AI is evolving rapidly, and keeping up with these trends is vital for businesses looking to stay competitive. From personalised AI agents to synthetic data and multimodal models, the future of AI is both exciting and challenging.

To stay ahead, your team needs the right training. Bespoke offers the latest instructor-led courses on AWS and Microsoft technologies, including new generative AI offerings.

Contact Bespoke today to find out how we can help your team build the skills needed to thrive in the AI-driven world of tomorrow.

Emerging Cloud Trends and Technologies to Watch in 2025

As Australian and New Zealand organisations continue to embrace digital transformation, the cloud remains at the heart of innovation. From enabling seamless remote work to driving advanced analytics and AI, cloud technologies are evolving rapidly.

Looking ahead to 2025, several key trends and advancements are poised to shape the landscape. Here are the top seven cloud technologies to watch.

1. Serverless Computing Takes Centre Stage

Serverless computing is not new, but its adoption is set to accelerate in 2025 as organisations seek cost efficiency and scalability. This model eliminates the need for managing infrastructure, allowing developers to focus on writing code while the cloud provider handles the rest.

The rise of serverless platforms, such as AWS Lambda, Azure Functions, and Google Cloud Run, means businesses can innovate faster without the overhead of maintaining servers. Expect advancements in tooling and integration, making serverless even more accessible for enterprises and startups alike.

2. AI-Powered Cloud Services

Artificial Intelligence is redefining the possibilities within the cloud. In 2025, we’ll see a surge in AI-driven cloud services that enable businesses to harness powerful predictive analytics, natural language processing, and computer vision.

Services like AWS SageMaker, Azure OpenAI Service, and Google Vertex AI are becoming increasingly sophisticated, enabling businesses to build AI solutions without requiring deep expertise. The integration of generative AI will also make waves, empowering organisations to create custom content, code, and designs at unprecedented speed.

3. Hybrid and Multi-Cloud Strategies

As organisations strive to balance flexibility, cost, and resilience, hybrid and multi-cloud strategies will dominate in 2025. Hybrid cloud solutions, such as Azure Arc and AWS Outposts, allow businesses to seamlessly integrate on-premises systems with public cloud environments.

Multi-cloud strategies, on the other hand, enable organisations to leverage the strengths of different providers while avoiding vendor lock-in. Enhanced interoperability and better management tools will further streamline these approaches, helping businesses optimise their cloud investments.

4. Edge Computing Expansion

The growing demand for real-time data processing and low-latency applications is driving the rise of edge computing. In 2025, this technology will become a critical part of the cloud ecosystem, enabling data to be processed closer to where it is generated.

Industries such as healthcare, manufacturing, and retail are already adopting edge solutions to improve efficiency and deliver enhanced customer experiences. With providers like AWS IoT Greengrass, Azure Stack Edge, and Google Distributed Cloud, edge computing is becoming more accessible and scalable.

5. Sustainability in the Cloud

As environmental concerns intensify, sustainability in cloud computing will take on greater importance in 2025. Cloud providers are investing heavily in renewable energy, carbon-neutral data centres, and energy-efficient technologies.

Tools that enable organisations to monitor and optimise their cloud usage, such as AWS Sustainability Pillar and Microsoft Emissions Impact Dashboard, are helping businesses reduce their carbon footprint. Expect sustainability to become a key differentiator for cloud providers as customers demand greener solutions.

6. Quantum Computing in the Cloud

While still in its infancy, quantum computing is progressing rapidly, with cloud providers offering quantum-as-a-service (QaaS). Platforms like AWS Braket, Azure Quantum, and Google Quantum AI are making quantum technologies more accessible to researchers and developers.

In 2025, we can expect advancements that bring practical applications of quantum computing closer to reality, particularly in fields like cryptography, materials science, and complex optimisation problems.

7. Cloud-Native Security Enhancements

As cyber threats grow more sophisticated, cloud-native security solutions will become indispensable. Innovations in areas such as zero-trust architecture, confidential computing, and AI-driven threat detection will transform how organisations secure their data and workloads in the cloud.

Expect to see services like AWS Nitro Enclaves, Microsoft Defender for Cloud, and Google Cloud Security Command Centre evolving to provide even more robust protection.

Upskill in Cloud Technologies with Bespoke Training

The cloud continues to evolve at a rapid pace, driving innovation and transformation across industries. From serverless computing and AI-powered services to sustainability and edge computing, 2025 promises to be a pivotal year for cloud technologies. By staying informed and adopting these trends, businesses can remain competitive and ready to tackle the challenges of the future.

At Bespoke, we specialise in equipping professionals with the AWS and Microsoft skills needed to thrive in the ever-evolving cloud landscape. Whether you’re exploring AI and machine learning, diving into edge computing, or embracing hybrid cloud strategies, our flexible, hands-on training programs are tailored to your goals.

Our expert instructors bring real-world insights to every session, guiding you through the latest cloud technologies and helping you apply them to practical scenarios. With interactive labs, customisable learning pathways, and a focus on real-world applications, we ensure you gain not just knowledge but the confidence to lead your team into the future.

Ready to future-proof your skills? Contact us today to explore Bespoke’s flexible training options and take the next step in your cloud technology journey.

5 Insights from AWS re:Invent 2024

The annual AWS re:Invent conference has successfully wrapped up. The 2024 live and virtual conference has once again demonstrated why it remains one of the most significant events in the global tech industry.

With exciting announcements, in-depth technical sessions, and endless networking opportunities, this year’s event left many attendees buzzing with insights and ideas.

Here are the top five insights from AWS re:Invent 2024 that you need to know.

1. Generative AI Takes Centre Stage…. again

Similar to 2023, the highlight of this year’s re:Invent continues to be the advancements in Generative AI. AWS announced new capabilities for its Bedrock and SageMaker services, making it easier for developers to build and scale generative AI applications.

The introduction of Bedrock Templates allows organisations to customise foundational AI models with their own data, accelerating innovation across industries. Additionally, SageMaker’s new AutoTune feature simplifies hyperparameter optimisation, delivering faster model training and deployment.

AWS also revealed a partnership with leading AI research institutions to provide more robust and ethical AI guidelines, emphasising responsible use of generative AI technologies. Organisations in healthcare, finance, and education stand to benefit greatly from these enhancements.

2. Enhanced Cloud Security Tools

Security was a key focus at re:Invent 2024, with AWS unveiling a suite of advanced security tools to help businesses strengthen their cloud defences. One standout announcement was the launch of AWS SecureLens, an AI-driven threat detection tool that provides real-time insights and automated responses to potential vulnerabilities.

AWS also introduced new features in its Identity and Access Management (IAM) service, enabling finer-grained access controls. With these updates, enterprises can better enforce least-privilege access, mitigating risks from insider threats and misconfigurations.

3. Sustainability Becomes a Priority

Sustainability also took centre stage, with AWS reaffirming its commitment to achieving 100% renewable energy usage by 2030. This year, AWS launched Carbon Tracker 2.0, a more detailed and actionable tool for monitoring and reducing the carbon footprint of cloud workloads. Customers can now receive recommendations to optimise their compute, storage, and networking resources for energy efficiency.

Additionally, AWS unveiled several green initiatives, including partnerships with renewable energy providers and new energy-efficient hardware designs. These efforts signify growing demand from enterprises for sustainable cloud practices.

4. Expanding Edge Computing and IoT

Edge computing and IoT were major themes this year, with AWS rolling out updates to its Snow Family and introducing AWS Local Zones in 20 new locations. These expansions bring compute and storage closer to end users, reducing latency for applications requiring real-time data processing.

The new IoT Core Edge SDK further simplifies edge device management, making it easier for businesses to scale their IoT ecosystems. From smart cities to autonomous vehicles, these updates are set to unlock new possibilities for edge-based applications.

5. Focus on Skills Development and Training

AWS emphasised the importance of closing the cloud skills gap, announcing significant updates to its training and certification programmes.
The revamped AWS Skill Builder platform now includes interactive labs and a gamified learning experience. The new AWS Certified AI Specialist certification was also introduced, catering to the growing demand for expertise in artificial intelligence and machine learning.

Bespoke is looking forward to the launch of new, official, instructor-led training courses in 2025, so we can continue to support our learner to achieve these new certifications. So watch this space…

In Summary

AWS re:Invent 2024 highlighted how AWS continues to push the boundaries of cloud innovation, with advancements in AI, security, sustainability, edge computing, and skills development. For businesses looking to stay ahead, leveraging these new tools and insights will be critical.

To watch the CEO summary, or recordings of the sessions, you can visit the official website here.

Talk to Bespoke about your upcoming AWS learning needs

Whether you are leveraging generative AI, or increasing your team’s security skill set, we have a range of flexible and customisable expert-led training that will give you the kick-start you need.

Reach out to our team for a customised learning plan.

Reskilling for 2030 and the Future of Work

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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.

Spatial working - the future of work

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.

AI as a supportive worker - the future of work

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.

Investing in team training - the future of work

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.

Embedding continuous learning into corporate culture

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

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.

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