Executives, department heads, managers, supervisors and team leaders play a key role in fostering a culture of digital transformation within an organization.
As technology adoption increasingly drives innovation and growth, senior staff must take responsibility in three key ways.
strategic: Ensures that new technologies are adopted and embedded in line with the business goals of the organization, department, and team. Will it provide tangible benefits over just a box-checking exercise?
enablement: Ensure the necessary skills and infrastructure are in place, with an eye to new tools, applications, models and methodologies that will make your team more efficient, effective and productive.
Change management: Implement new technologies in a safe, sustainable and ethical manner. This includes raising awareness of the full impact of new technology adoption, from security challenges to ethical implications to the impact on human work and organizational culture.
With that in mind, here are 10 of the most important tech trends every boss or manager should know about today.
I specifically chose technologies that I believe will have the most broadest application in the near future. This means we left out some trends that are important but may not be an immediate priority for everyone. Examples here include Web3, 3D printing, and quantum computing. Not that they shouldn’t be noted, but I believe these 10 are likely to be of universal importance, no matter what industry they belong to.
1
artificial intelligence and machine learning
Artificial intelligence (AI) is a hot tech trend right now, but it’s not a passing fad. The next decade will bring many changes to the way we work and do business. Machine learning (ML) is the technical name for AI used in business today. Essentially, it refers to a computer algorithm that gets better at a task when exposed to more data. This is in contrast to traditional algorithms that are programmed by humans to behave in a predetermined way. AI is the engine of digital transformation, driving many innovations such as computer vision (machines that see), natural language processing (machines that understand human language), predictive analytics, and automation.
The hottest topic right now is generative AI. These are applications that take simple text prompts and allow you to compose text and images in an eerily human way. Other forms of generative AI are emerging that can create music, videos, and blueprint physical products (a process known as generative design).
2
cyber security
As businesses and societies become increasingly digital, cybersecurity awareness is essential for those with management and oversight responsibilities. Across all industries, the cost of cybercrime will reach $8 trillion (around £6.3 trillion) by the end of this year and is projected to rise to $10 trillion by 2025. So if you have a budget to consider, it’s important to make sure it fits. Immune to ransomware attacks, phishing scams, downtime, and data breach fines. This doesn’t necessarily mean just focusing on technical skills, as many attacks and threats use social engineering to trick users of systems and grant access to intruders. Understanding these techniques and taking steps to protect your organization, departments and teams are today’s key management responsibilities.
3
Internet of Things and smart devices
Long ago, the Internet was a network of connected computers. When cell phones turned into smartphones, cell phones joined them. And today, devices of all kinds, from heavy industrial machinery to automobiles to kitchen appliances, are connected, communicating with each other and generating constant streams of data. Welcome to the era of the Internet of Things (IoT). IoT consists of smart devices and wearables, covering the network infrastructure from the cloud (remote data centers) to “edge” devices that analyze and process data as it is produced. The stream of data created by this network can inform decision-making, enhance automation, and generate rich predictive insights, making it an important technology trend for administrators to be aware of.
Four
synthetic data
Synthetic data refers to data that is artificially created rather than collected from the real world. This is important because it can be used for testing, training (human or machine), simulation, as well as various customer-facing functions such as marketing. Generally, this is created by an algorithm (perhaps AI or ML) trained on real-world data, so you can create your own data to mimic it. Importantly, however, there are no privacy or regulatory constraints. This allows companies, especially regulated industries such as healthcare and financial services, to test their systems and processes while mitigating ethical or legal risks. You can use synthetic customer behavioral data to model the results of your marketing efforts. This may include monitoring the impact on response rates and other metrics that can be achieved by adjusting the frequency of emails, the tone of language and the style of images used. With the myriad of uses for synthetic data, finding potential use cases should be a top priority for today’s decision makers.
Five
Remote collaboration and teamwork
The COVID-19 pandemic has impacted the world of work in many ways, but the biggest impact has been the massive shift to working from home and remote work. While many companies are gradually returning to work on-premises, employees are enjoying an improved work-life balance and companies are benefiting from fewer geographic constraints in sourcing and hiring talent. The benefits of flexible working arrangements are becoming apparent. Technology solutions that facilitate remote work and collaboration often enable even smaller organizations to become more global in scope and scale. Asynchronous work solutions also reduce the need for teams to coordinate face-to-face all-hands meetings around client work. This means that understanding the tools and platforms that facilitate these new paradigms is a priority for managers and supervisors working with global businesses.
6
sustainable technology
Many organizations have set ambitious goals to reduce their carbon footprint. In fact, this is not only good for the planet, it is also necessary for the future of mankind. Research shows that implementing sustainable solutions and adopting green policies will lead to faster growth and more profitable businesses. For example, Walmart has committed to doubling the energy efficiency of its truck fleet by 2025, which it predicts will save $1 billion annually. Increased customer loyalty also provides other benefits, as research consistently shows that consumers are attracted to businesses that operate in a sustainable and environmentally friendly manner. Technological approaches to sustainability include using AI and advanced analytics to increase efficiency and reduce costs, as well as developing clean energy sources such as renewables and green hydrogen.
7
Robots and collaborative robots
Robots have been introduced into the workplace since the middle of the last century, especially in manufacturing. However, advances in AI as well as robotics are increasing the usefulness of robots across industries such as agriculture, retail logistics, and healthcare. The emergence of a new class of robots designed to work safely alongside humans in industrial and office environments has given rise to the term “cobots”, or collaborative robots. Robots-as-a-Service providers are lowering the barriers to entry, allowing businesses to rent advanced machines on a subscription basis. Recognizing how this technology can help solve challenges within an organization will undoubtedly be a valuable quality for his business leader in 2023 and beyond.
8
VR, AR metaverse and the experiential web
I grouped them because they are closely related, but none are synonyms and they can all exist without the other. But the real value comes when these technologies and concepts come together. I’m not a big fan of the term “metaverse”. That’s a vague and overblown term. The “experiential web” is better because it describes in more direct terms the future digital environment in which we work, play and, most importantly, interact with each other. I’m here. Virtual Reality (VR) and Augmented Reality (AR) are two key technologies to get there. Today they are deployed in medical, manufacturing, design, management, training and education use cases, and understanding the opportunities they present is certainly important.
9
digital twin
A digital twin is a computer simulation of real-world objects, systems, and processes. Building something like this means you can play with it, experiment with it, poke it, poke it, hit it, shape it, and find the best way to use it. while keeping the real world version safe and natural. A useful tool for any manager.
State-of-the-art digital twins are modeled using data from the real world, collected via sensors and fed into simulations in real time. Using machine learning, you can analyze the effects of different variables on the output and quickly run thousands or millions of configurations to find the optimal parameters. Everything can be placed in a virtual environment (or metaverse if you prefer) so you can experience it collaboratively through virtual reality. A simple digital twin may be used to model a company’s marketing funnel. More complex digital twins are not only used to simulate the environment of entire cities, but are also used by NASA in planning missions with Mars rovers.
Ten
Multi-cloud and hybrid cloud infrastructure
Over the past decade, moving to the cloud has been a priority for many companies, eager to build more efficient IT operations and improve the customer experience. As businesses grow and infrastructure needs become more sophisticated, there is a growing desire to leverage the capabilities and benefits of multiple cloud providers (multicloud). Additionally, it is not always possible or appropriate to move all enterprise tools and data to the cloud for security, privacy and compliance reasons. This means that systems are distributed across private (on-premises) and public (cloud) infrastructures (known as hybrid clouds), maximizing the benefits of both. Responsible for improving efficiency and digitally improving his customer experience and maintaining security, not limited to IT departments, the manager will implement these measures to ensure business resilience and scalability in 2023. You need to understand your options and strategies.
