From self-driving cars to the rise of chatbots, we’re seeing a rapid acceleration in artificial intelligence and machine learning — and it’s changing the marketing world.
From self-driving cars to the rise of chatbots, we’re seeing a rapid acceleration in artificial intelligence and machine learning — and it’s changing the marketing world.
Tech research firm, Gartner, predicts that by 2020, AI will be a $3.9 trillion business. Businesses need to prepare for this inevitability by taking action and capitalising on the opportunities artificial intelligence can bring to their business.
When it comes to the future of marketing, opinions are divided. Some experts believe that AI will change the way we live for the better and boost our economy. Others see it as a potential threat to humankind and we can understand why, at a cursory glance.
Artificial intelligence is getting smarter. It’s approaching the same level of intelligence as human beings, and there’s no question that it will continue to become more relevant as we find new use cases for it in a digital world.
As it does so, it will continue to have an impact on many aspects of our lives, including on the way we market our businesses and how we interact with brands as consumers. But in a best case scenario, this intelligence will be used to heighten human potential rather than cannibalise it.
AI has been a hot topic for years, but it’s only recently become widely accessible and affordable enough to be utilised in business applications as a standard. What’s more, advancements in machine learning technologies and the rise of big data have fueled interest and sparked new research into AI’s potential for democratising access to opportunities and unifying the world with technology. Let’s get down to what it is at its core and why it’s so relevant to us as modern marketers.
Artificial intelligence (AI) is the intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximise its chance of success at some goal.
We’re already seeing a number of applications for this in the marketing and comms world - particularly in the social listening and monitoring space. This is, in part, why marketing has changed so much over the last 5 years.
Marketing comprises a range of activities that are typically focused around understanding consumers and their interests in a modern context. By simulating or supplementing human intelligence, we have a range of benefits available to us on both sides of the messaging fence.
All told, AI is no longer a far-off concept that may or may not impact our realities in the near future. It’s very much here in familiar interfaces and chat applications that people encounter on a daily basis. Even companies like Google have incorporated it into their document creation, suggesting words and helpful tools when users start to write. However, as the capability and access grows, so does the scope of opportunity to use this technology in more exciting and novel ways.
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get In touchTo the untrained ear, the phrase “martech” sounds like another buzzword, and maybe in some ways, it is. It seems like everybody is adding the “tech” to words that already exist these days and making it a thing. However, there is real merit to understanding the intricacies behind the growing movement towards using technology in marketing and the applications and mechanisms that make this possible.
As brand owners, playing in the marketing space, there are universal challenges that we have to overcome and tech provides us with a ton of ways to get there.
The data conundrum
One of the biggest problems we face in the digital landscape today is making sense of enormous amounts of data available to us. In fact, according to TechJury, “1.7MB of data was created every second by every person during 2020” and these numbers only seem to be growing. With such a substantial base of information to sift through, it can seem impossible to draw truly valuable insights and manual detection of brand mentions can only get us so far. There just aren’t enough hours in a day or people on Earth to do the job of monitoring software, which is so key to improving performance in our industry.
Does this mean that human power is now redundant? Of course not. But it is a good example of how embracing martech makes our everyday operations more efficient and helps create the right environment for smarter people-power. Without social listening and media monitoring, we create unimaginable amounts of work for employees, and by introducing data that needs to be manually vetted and constantly added to, we’re back at square one in terms of lacking resources for comprehending the digital spaces we operate in.
According to GlobalNewswire, the media monitoring software market was approximately USD 2,260 million in 2018 and is expected to generate around USD 7,236 million by 2027, at a CAGR of around 13.9% between 2019 and 2027”. What does this tell us? That data filtering is on the rise, and is quickly becoming part of our everyday operations in terms of monitoring, listening and reporting.
As a result of this, new SaaS solutions are springing up around the globe, with major players in competition to get the monopoly. For brands and agencies, this shows an important skills gap to fill when it comes to understanding this software and developing the ability to draw meaningful insights and base campaigns on key findings. In order to future-proof the success of your digital marketing, you will need a firm grasp on the data landscape around your brand and the infrastructure to understand it.
Martech skills development will grow massively in select nations
While the world is already adopting marketing technologies at a faster rate than pre-pandemic, we’re seeing a massive uptake of interest and skills development in tech-driven nations. For example, the first knowledge hub, related specifically to martech, popped up in the UAE in 2019. Now, only 3 years later, there’s a range of publications and supporting organizations coming to the fore, such as MartechNews and the Daily Martech Roundup, each with loyal followings.
Spending and investment is on the rise
In the Gartner 2019 - 2020 survey (which conducts research from the responses of over 340 participants), it was reported that top-line marketing spend would decrease for the first time in over 5 years. So, this means that martech spend should decrease too, right? But the opposite has happened. The same survey findings showed that “martech spending rose to 29% of total budgets” - a phenomenal leap in light of the current scarcity of resources.
What does this mean for businesses, brands and entrepreneurs? It’s time to adopt or die. This level of investment and shift in spending is usually spurred on by greater ROI and predictive forecasting, which means the data is showing consistently high returns, either on resource savings or generation, that comes as a direct result of using martech more.
New tools are emerging at a rapid rate
While some technological industries are forging partnerships within the ranks, martech seems to be a competitive and fast-paced environment. In fact, Martech Today reported that there are more than 8000 notable tools currently on the market for combining brand messaging and analytics with tech.
These were mostly data analysis tools. To some, this may seem like an opportunity to join forces, but it appears that barring a few buyouts and acquisitions, we still haven’t quite solved the problem of adequately centralising data analytics and media interactions. Until this is achieved, and someone takes the monopoly, a rang of tools will continue to emerge.
Preparing for the future
With growth in the martech sector becoming more evident and having an increasingly significant impact on marketing professionals, a few things are clear. The first of which is that brands must put the infrastructure in place to navigate a changing digital landscape or face some level of becoming obsolete. In short, there are a few critical steps towards preparing for the continued rise of martech:
At Digital Grind, we work tirelessly to understand the digital landscape and to keep building our technical infrastructure to meet the growing demands of the industry. Speak to us for more information or enlist our services on your next project and we can start to work together to ensure your business is fit for the future.
DevOps is a transformative approach to software development that has gained significant traction in the modern business landscape. It focuses on breaking down the traditional silos between development and operations teams to foster collaboration, efficiency, and continuous improvement. In this blog, we will delve into the world of DevOps and explore how its practices can benefit businesses.
DevOps is a software development approach that combines development (Dev) and operations (Ops) teams to streamline the software delivery process. It aims to break down the traditional barriers between these teams and promote collaboration, communication, and shared responsibility throughout the development lifecycle.
At its core, DevOps is guided by several principles and objectives. First, it emphasizes close collaboration and integration between development and operations teams, ensuring that both sides work together seamlessly to achieve common goals. This collaboration eliminates the traditional handoffs and silos that often lead to delays, miscommunication, and inefficiencies.
Another key principle of DevOps is the automation of processes. By automating tasks such as code deployment, testing, and infrastructure provisioning, DevOps enables faster and more reliable software delivery. Automation reduces the risk of human error and accelerates the feedback loop, allowing teams to iterate and improve their software continuously.
DevOps also places a strong emphasis on continuous improvement. It encourages teams to adopt a culture of learning, experimentation, and feedback. By continuously assessing and optimizing processes, DevOps teams strive for greater efficiency, quality, and customer satisfaction.
By bridging the gap between development and operations, DevOps fosters collaboration and efficiency. Development teams gain a deeper understanding of operational challenges and considerations, while operations teams become more involved in the development process, providing valuable insights and feedback. This close collaboration leads to faster feedback cycles, quicker issue resolution, and ultimately, the delivery of high-quality software products that meet user needs and exceed expectations.
DevOps practices bring significant improvements to software development and deployment cycles, enabling organizations to deliver software faster and more frequently. This streamlined approach offers numerous benefits, including increased productivity, shorter time-to-market, and improved software quality.
Continuous integration (CI) is a fundamental DevOps practice that involves regularly merging code changes into a shared repository. This process allows development teams to detect and address integration issues early on, promoting collaboration and reducing the risk of conflicts. By automating the CI process, developers can build, test, and validate their code changes quickly and efficiently.
Continuous delivery (CD) builds upon CI by automating the release process, allowing organizations to deliver software updates more frequently and reliably. With CD, software changes undergo a series of automated tests and checks before being deployed into production. This ensures that only stable and tested code reaches the end-users, reducing the likelihood of bugs and issues. The ability to deploy software updates rapidly and consistently gives organizations a competitive edge in rapidly evolving markets.
Automated testing is an essential component of DevOps practices, enabling organizations to achieve efficient and reliable software releases. Automated tests, including unit tests, integration tests, and performance tests, are executed automatically as part of the CI/CD pipeline. By automating the testing process, organizations can detect bugs and issues early, ensuring the software's functionality, stability, and performance. This reduces the need for manual testing, saves time, and improves the overall quality of the software.
By adopting DevOps practices, organizations can streamline their development and deployment processes, allowing for faster and more frequent software releases. Continuous integration, continuous delivery, and automated testing contribute to efficient and reliable software releases, empowering organizations to meet customer demands, respond to market changes, and stay ahead of the competition.
Enhanced Collaboration and Communication (200-250 words)
DevOps practices promote improved collaboration and communication among cross-functional teams, breaking down silos and fostering a culture of shared responsibilities. By promoting collaboration and knowledge sharing, DevOps enables teams to work together more effectively, resulting in improved efficiency and better outcomes.
One of the key benefits of DevOps is the breaking down of silos that traditionally exist between development, operations, and other teams involved in the software development lifecycle. DevOps encourages these teams to work together, share their expertise, and collaborate on decision-making processes. This collaborative approach helps to eliminate bottlenecks and delays caused by fragmented workflows, resulting in faster and more efficient development cycles.
By fostering shared responsibilities, DevOps encourages teams to take ownership of the entire software development and deployment process. Rather than operating in isolated silos, individuals across different functions collaborate and contribute to the success of the project. This shared responsibility mindset promotes a sense of accountability and empowers team members to make informed decisions that benefit the overall project.
Knowledge sharing is a fundamental aspect of DevOps culture. It encourages team members to openly share their knowledge, skills, and experiences with one another. This knowledge sharing helps to spread best practices, learn from past experiences, and avoid repeating mistakes. It also promotes continuous learning and professional development within the team.
Feedback loops play a vital role in DevOps collaboration and communication. By establishing feedback mechanisms, teams can collect insights, identify areas for improvement, and address any issues or bottlenecks promptly. Feedback loops enable teams to iterate and refine their processes continuously, leading to continuous improvement and higher quality outcomes.
DevOps practices facilitate scalability and flexibility in meeting changing business demands. By adopting DevOps principles, organizations can leverage technologies such as infrastructure as code (IaC) and cloud computing to achieve efficient resource allocation and scale their systems as needed.
Infrastructure as code (IaC) is a fundamental concept in DevOps that allows infrastructure provisioning and management through code rather than manual processes. With IaC, organizations can define and manage their infrastructure using configuration files, scripts, or declarative code. This approach provides several benefits for scalability and flexibility. It allows for the rapid provisioning of infrastructure resources, enabling teams to scale up or down their infrastructure based on demand. Additionally, IaC ensures consistency and reproducibility, as the infrastructure configuration is version-controlled and can be easily replicated across different environments.
Cloud computing plays a pivotal role in the scalability and flexibility enabled by DevOps. Cloud platforms offer on-demand access to a vast array of computing resources, including virtual machines, storage, and networking. By leveraging cloud services, organizations can scale their infrastructure resources dynamically, adjusting capacity based on real-time demands. This elasticity allows businesses to handle spikes in traffic, accommodate growth, and optimize resource utilization.
Furthermore, cloud platforms provide additional services and tools that support scalability and flexibility. For example, auto-scaling features automatically adjust resources based on predefined rules or metrics, ensuring optimal performance and cost-efficiency. Load balancers distribute traffic across multiple instances, preventing bottlenecks and enhancing scalability. Database scaling options enable organizations to handle increasing data volumes without compromising performance.
In combination, infrastructure as code (IaC) and cloud computing provide organizations with the ability to scale their infrastructure resources quickly and efficiently. DevOps practices leverage these technologies to ensure that businesses can adapt to changing demands, handle increased workloads, and optimize resource allocation, ultimately enabling them to deliver products and services more effectively and meet customer expectations.
DevOps practices contribute to improved stability and reliability of software systems. By implementing proactive monitoring, automated error detection, and efficient incident response, organizations can ensure high system availability and deliver a seamless and dependable experience to their users.
Proactive monitoring is a critical aspect of maintaining system stability. DevOps teams implement monitoring tools and practices to gather real-time data on system performance, resource utilization, and user behavior. This enables them to identify potential issues or bottlenecks before they escalate, allowing for prompt action and proactive optimization. Through continuous monitoring, organizations can ensure that their systems are running optimally, anticipate potential problems, and make informed decisions to prevent service disruptions.
Automated error detection is another essential component of maintaining system stability. DevOps practices encourage the implementation of automated testing and quality assurance processes, including unit tests, integration tests, and performance tests. By automating the detection of errors and inconsistencies, organizations can identify issues early in the development cycle and address them proactively. This reduces the likelihood of critical issues reaching production environments, minimizing downtime and enhancing system reliability.
Efficient incident response is essential for ensuring high system availability. DevOps teams establish incident response procedures and workflows to handle potential disruptions effectively. By having well-defined incident management processes, organizations can respond swiftly to incidents, minimize downtime, and restore services promptly. DevOps practices also emphasize post-incident analysis and learning, enabling teams to identify root causes, implement preventive measures, and continuously improve system stability and reliability.
By integrating proactive monitoring, automated error detection, and efficient incident response into their DevOps practices, organizations can enhance the stability and reliability of their software systems. This leads to improved system availability, reduced downtime, and ultimately, a better user experience. The focus on continuous improvement and proactive measures ensures that businesses can deliver reliable and dependable services to their customers, building trust and loyalty in the process.
DevOps practices can lead to cost optimization by minimizing wasteful processes and improving resource utilization. By leveraging cloud-based infrastructure and automated provisioning, organizations can reduce infrastructure costs and optimize their spending.
DevOps practices eliminate wasteful processes by streamlining workflows and automating repetitive tasks. Continuous integration and continuous delivery (CI/CD) pipelines remove manual handoffs and reduce the risk of errors and delays. By automating tasks such as code builds, testing, and deployments, organizations can save time and resources, resulting in cost savings.
Cloud-based infrastructure is a key enabler of cost optimization in DevOps. Cloud platforms offer flexible and scalable infrastructure resources on a pay-as-you-go basis. This eliminates the need for upfront investments in physical hardware and allows organizations to scale resources up or down based on demand. By leveraging cloud services, businesses can avoid the costs associated with managing and maintaining on-premises infrastructure, leading to significant cost savings.
Automated provisioning, facilitated by infrastructure as code (IaC), further contributes to cost optimization. With IaC, organizations can define and provision infrastructure resources programmatically, reducing the time and effort required for manual setup. This automation ensures consistent and reproducible infrastructure deployments while minimizing the risk of errors. By automating the provisioning process, organizations can optimize resource allocation, avoid overprovisioning, and reduce unnecessary costs.
By adopting DevOps practices, organizations can optimize costs by eliminating wasteful processes, leveraging cloud-based infrastructure, and automating provisioning. These practices not only improve resource utilization but also reduce infrastructure costs, leading to overall cost savings for the organization. By focusing on cost optimization alongside development and operational efficiency, DevOps enables businesses to achieve a balance between maximizing value and minimizing expenses.
DevOps practices address security concerns and compliance requirements by integrating security measures throughout the development lifecycle and implementing security-focused testing and monitoring.
DevOps promotes a proactive and holistic approach to security. Security considerations are embedded into every stage of the development process, from design and coding to testing and deployment. By implementing secure coding practices, conducting regular security assessments, and performing vulnerability scans, organizations can identify and mitigate potential security risks early on. This helps in reducing the chances of security breaches and ensuring the confidentiality, integrity, and availability of data.
Continuous integration and continuous delivery (CI/CD) pipelines in DevOps enable the automated execution of security-focused tests. This includes static code analysis, vulnerability scanning, and penetration testing. These tests help identify security vulnerabilities and weaknesses in the application code and infrastructure configuration. By addressing these issues in a timely manner, organizations can proactively improve the security posture of their systems.
Monitoring and incident response are also essential components of a secure DevOps practice. By implementing robust monitoring and logging mechanisms, organizations can detect and respond to security incidents promptly. Real-time monitoring helps identify unauthorized access attempts, unusual behavior patterns, or potential breaches, allowing organizations to take immediate action to mitigate risks and prevent further damage.
In addition, DevOps teams ensure compliance with industry-specific regulations and standards. By aligning development and operations processes with compliance requirements, organizations can demonstrate adherence to security and privacy guidelines. This includes implementing access controls, encryption measures, and audit trails to protect sensitive data and meet regulatory obligations.
By adopting DevOps practices, organizations can address security concerns and compliance requirements effectively. By integrating security measures throughout the development lifecycle, implementing security-focused testing and monitoring, and ensuring compliance with industry standards, DevOps teams can build secure and compliant software systems. This approach enhances the organization's ability to protect sensitive data, maintain customer trust, and meet regulatory obligations.
Real-world examples and case studies showcase the successful implementations of DevOps in various industries. These examples demonstrate the tangible benefits and outcomes achieved by organizations that have embraced DevOps practices.
One notable example is Netflix, a leading provider of streaming services. By adopting a DevOps culture, Netflix has transformed the way video streaming services operate. They have achieved rapid deployment, continuous integration, and continuous delivery. Through automation and infrastructure as code, Netflix can deliver new features and updates to millions of subscribers worldwide seamlessly. This has led to improved customer satisfaction, increased availability, and a highly scalable platform.
Another example is Etsy, a popular e-commerce marketplace. Etsy implemented DevOps practices to enhance collaboration and accelerate software delivery. By adopting continuous integration and deployment, they reduced the time from code commit to production deployment from weeks to hours. This resulted in faster feature releases, shorter feedback loops, and increased customer engagement. Etsy's DevOps implementation also led to improved stability, with a significant reduction in production incidents.
Amazon, a leading global e-commerce platform, has leveraged DevOps to achieve unparalleled scalability and reliability. Their use of infrastructure as code and automated deployment pipelines allows them to handle massive traffic loads during peak shopping seasons. By embracing DevOps, Amazon can rapidly innovate, experiment with new features, and quickly respond to customer demands. This has solidified their position as a trusted and customer-centric online marketplace.
Capital One, a prominent financial services company, embraced DevOps to improve software delivery and enhance customer experience. By implementing continuous integration and delivery, they reduced their time to market for new features and products. This resulted in faster innovation cycles, improved customer satisfaction, and increased competitiveness in the financial industry.
These real-world examples highlight the tangible benefits achieved through successful DevOps implementations. Organizations have experienced faster time to market, improved software quality, enhanced collaboration between teams, and increased operational efficiency. The flexibility, scalability, and reliability enabled by DevOps practices have proven instrumental in driving business success across various industries.
Getting started with DevOps requires careful planning and a strategic approach. Here are some practical tips to help businesses embark on their DevOps journey:
By following these tips, businesses can lay a solid foundation for their DevOps journey. Remember, DevOps is not a one-size-fits-all approach, so tailor your implementation to suit your organization's unique needs and goals. With the right mindset, commitment, and the support of your teams, you can unlock the numerous benefits of DevOps and drive business success.
In conclusion, DevOps practices have become essential for businesses looking to achieve faster, more efficient software delivery and improved overall performance. By adopting DevOps methodologies, businesses can unlock a range of benefits, and partnering with Digital Grind can help you navigate this transformation with ease.
At Digital Grind, we have a team of experienced professionals who specialize in DevOps implementation. Our expertise and industry knowledge allow us to guide businesses through the process of adopting DevOps practices, ensuring a seamless transition and optimal results.
By working with Digital Grind, you can leverage our deep understanding of DevOps principles and tools to streamline your development and deployment processes. We can help you implement continuous integration and continuous delivery, automate testing and monitoring, and establish efficient collaboration and communication channels across your cross-functional teams.
Additionally, our team is well-versed in infrastructure as code (IaC) and cloud computing, enabling us to assist you in scaling your resources effectively and optimizing costs. With our security-focused approach, we prioritize integrating security measures throughout the development lifecycle, ensuring your systems are robust, compliant, and protected against potential threats.
Partnering with Digital Grind means gaining a trusted advisor who will tailor DevOps practices to your unique business requirements. We offer comprehensive support, training, and ongoing guidance to help you embark on your DevOps journey with confidence. Let us help you unlock the full potential of DevOps and propel your business to new heights of success. Contact us today to learn more about how we can assist you in adopting DevOps practices and achieving your software development goals.
No matter the size of your organisation, achieving and maintaining a high level of operational efficiency is part of the success journey. Usually, striving for efficiency means that the organisation becomes more profitable.
The most successful organisations are always trying to improve the way they operate and finding new and innovative solutions that improve performance. They know the importance of making sure they stay ahead of the competition - at every step of the way.
Generally speaking, continuous process improvement (CPI) seeks to determine if an organisation’s business processes are meeting company goals. There are various tools that are used to achieve this fast - but getting the improvement part right is a little trickier. We’ll get into this in a minute, but first, let’s look at CPI’s application in software development.
For developers, CPI is an ongoing effort to improve products, services or processes through continuous testing and optimisation. This means that attention is put on making sure a business’ products are up-to-date, bug-free and secure. This process is done on a continuous basis as part of a developer’s maintenance protocols.
Changes are implemented either incrementally or in one fell swoop (also known as breakthrough improvement). The advantage of making incremental changes is that improvements are made almost as soon as they have been discovered.
Once these have been processed, the next step is to ensure that you constantly go back to reanalyse all processes throughout the lifecycle of the project and make additional changes. This is one of the pillars of an agile environment.
One of the most popular CPI models used is PDCA, which stands for Plan, Do, Check, and Act. By carefully going through these steps, the ongoing cycle of continuous improvement can be achieved as the model controls and regulates the processes.
One can also start by using business process mapping to visualise all the business processes that require monitoring and assigning responsible individuals. Below is a breakdown of the PDCA model.
Once a workable solution is implemented, it’s time to focus on the next identified urgent areas to improve and the same cycle repeats.
There are a host of benefits when it comes to using CPI for your brand. These ensure that the quality and integrity of the software is kept at a high level. Here are five key benefits:
CPI is a critical element of any software developer team, creating high quality products that stand the test of time while optimising business processes and achieving its goals. Standardisation is thus necessary in terms of implementation best practices.
Each improvement process needs to be thorough to maximise output and returns on investment. At Digital Grind, it's a part of who we are, as CPI and maintenance are implemented in our development projects.
We strive to ensure that your brand receives quality outputs that are adaptable and enhanced on an ongoing basis according to evolving needs. Start a development project with us. Our team is always ready to listen.