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7 Essential Trends IT Departments Must Tackle

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7 Essential Trends IT Departments Must Tackle

Redefining IT Operations in 2025: The Rise of AI, Cybersecurity, and Emerging Technologies

AIOps Redefines IT Operations

As AI continues to revolutionize business operations by enabling the automation of routine tasks, more efficient use of resources, and more accurate predictions, AI Operations will play an increasingly pivotal role. The AIOps workload involves pulling together disparate infrastructure elements to deliver self-service AI platforms that can be operationalized organization-wide. In 2025, AIOps are critical to enabling businesses to benefit from real-time resource optimization, automated decision-making, and predictive incident resolution. This should empower the entire workforce, from marketing to manufacturing, to focus on innovation and high-value tasks rather than repetitive technical work best left to machines.

Cybersecurity – Securing The Workplace Of Tomorrow

Taking responsibility for cybersecurity will remain a key function of IT departments in 2025 as organizations face off against increasingly sophisticated and frequent attacks. Even as businesses come to understand that everyone from the boardroom to the shop floor has a part to play in preventing attacks, IT teams will inevitably be on the front line, with the job of securing networks, managing update and installation schedules, administering access protocols, and implementing zero-trust measures. AI, cloud systems, and behavioral changes like the shift to remote working all create huge opportunities but also bring new risks, and coordinating effective responses will be a priority.

Bridging The IT Skills Gap

The shortage of skilled IT workers remains a significant challenge for businesses in 2025, with demand for cybersecurity, AI, data, and cloud professionals fast outpacing supply. IT leaders will have the task of bridging the gap by implementing programs for upskilling, reskilling, and embracing a culture of continuous learning. At the same time, they will oversee the rollout of self-service, low-code, and no-code tools and platforms that will let non-specialist, less technically-experienced colleagues play a part in enabling digital transformation. Developing partnerships with education providers and assisting with the provision of vocational training and apprenticeship programs will be another key piece of the solution.

Operationalized Generative AI

In 2025, generative AI will be put to work automating many repetitive, technical aspects of IT teams’ workloads. System administrators will use it to summarize and draw insights from activity logs while automating alerts and messaging systems. It will be used to generate compliance reports and to create configuration recommendations. Database administrators will use it to optimize queries and automate the generation of schema and scripts. Helpdesk staff will be supported by chatbots that will manage the most routine queries as well as create and maintain knowledge bases, and technical writers will use them to assist with drafting, editing, and reviewing documentation. All of this will enable IT workers across many disciplines to focus on higher-value tasks, requiring skills that machines still can’t replicate. Think high-level strategy, teamwork, leadership, mentoring, and complex problem-solving.

Next-Generation Infrastructure – Faster Networks, Smarter Hardware

IT operations will continue to be redefined thanks to new developments and breakthroughs in network, data storage, and processor technology. Getting to grips with the possibilities of advancements in 5G and other emerging super-fast network capabilities, as well as new generations of processor technology optimized for the delivery of AI and perhaps even quantum computing, will be a key challenge. Simultaneously, innovations in data storage technology will require the development of new skills to administer, as well as innovative thinking in order to fully leverage their potential for accelerating progress.

The Continued Evolution Of Cloud Architecture

Architecting solutions that seamlessly span private, public, and on-premises cloud environments will be another key trend, as organizations continue to chase the benefits of hybrid clouds. With the emergence of a new breed of AI-powered tools and platforms that aim to simplify the process of operationalizing the cloud, workloads can be scaled and managed dynamically, with functions such as security and compliance becoming increasingly automated. Leveraging the opportunities of these hybrid platforms in order to benefit from a best-of-all-worlds scenario will be an important goal in 2025 and beyond.

Diversification At The C-Level

Heading up the IT department has traditionally been the task of the Chief Information Officer (CIO). However, with technology functions playing an increasingly integral role in business growth, other C-level roles have emerged to take on some of the responsibilities. As well as Chief Data Officers (CDOs) and Chief Information Security Officers (CISOs), it’s increasingly common for organizations to appoint Chief AI Officers (CIAOs), and as the role of technology in organizations continues to evolve, more C-level positions are likely to become critical. By spreading the burden of some of the work traditionally carried out by the CIO, businesses are able to bring a greater diversity of skills and experience to the tasks of leading organization-wide digital transformation in 2025.

Conclusion

As we navigate through 2025, IT departments continue to evolve from traditional support functions into strategic drivers of business innovation and growth. Success will increasingly depend on how well organizations can balance the deployment of emerging technologies with the human expertise needed to maximize their potential. Those IT leaders who can effectively navigate these trends – from AIOps to diversified C-suite leadership – will be instrumental in positioning their organizations for success in an increasingly competitive digital landscape.

FAQs

  • What is the role of AI in IT operations in 2025?
    AI will play a crucial role in IT operations, automating routine tasks, optimizing resources, and enabling predictive incident resolution.
  • How will cybersecurity continue to evolve in 2025?
    Cybersecurity will remain a key function of IT departments, with a focus on securing networks, managing updates, and implementing zero-trust measures.
  • What is the IT skills gap, and how can it be bridged?
    The IT skills gap refers to the shortage of skilled IT workers. Bridging the gap will require upskilling, reskilling, and a culture of continuous learning, as well as the rollout of self-service, low-code, and no-code tools and platforms.
  • What is operationalized generative AI, and how will it impact IT workers?
    Generative AI will automate repetitive tasks, enabling IT workers to focus on higher-value tasks that require human skills, such as strategy, teamwork, leadership, and complex problem-solving.

Innovation and Technology

The Solo CMO

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The Solo CMO

Introduction to the Rise of Solo Marketers

During my days as a consultant at Deloitte, I collaborated on a study about an unexpected trend. Between 2008 and 2010 — in just two years — the average tenure for a CMO jumped from 28 months to 42 months. This was surprising, given the conventional wisdom that the life of a CMO was “nasty, brutish, and short.” Corporate marketing was seen as more art than science and did not directly contribute to revenue in any measurable way. However, we found a reasonable explanation for this sudden change of heart. Around that time, many more CMOs — many of them women — were coming out of business school more fluent in the language of the CEO and CFO. The new CMO appeared to be more business-minded than her predecessors. In time, she was able to earn a better seat at the table.

The Evolution of the CMO Role

In our published report, “From Mad Man to Superwoman,” we told the story of this transformation by tracking the evolution of the CMO, from the golden age of creatives to the time when CMOs were expected to know it all. Fast forward to the present, and many are expected to do it all. This evolution has led to the rise of a new phenomenon: the solo marketer.

Enter The Solo Marketer

In recent months, I have witnessed the rise of the solo marketer, that is, the one-person marketing shop, many at startup or “early growth stage" companies. Having been in the industry for a couple of decades, I can say that this is not entirely new. What is new is how the concept has been so heavily embraced, to the point where it is now being named, defined, and defended. It goes by several names, depending on who you speak with: the one-person marketing team, the T-shaped marketer (older), the full-stack marketer (newer). The latter is my favorite because it so obviously reveals the bias that employers today have toward technology.

The Technology Bias

The term “full stack” originated in the world of software, to position the engineer who can do it all. It’s odd to think of marketers as full stack, as if they were mere composites of software. But the technology bias seems to make business sense. When times are tough, and technology provides a way to reduce the costs of human labor, technology generally wins. For several years, marketing budgets have been shrinking, partly in response to economic uncertainty and social disruption. A recent Gartner report revealed that marketing budgets declined about 15% in the post-pandemic years of 2023 and 2024. It also found that only 24% of CMOs said they had "sufficient budget to execute their 2024 strategy.”

Costs Versus Benefits

But solo marketing is not just about reducing costs. It’s about giving the marketer more power and a sense of agency. Prepping for this article, I chatted online with more than a dozen solo marketers in different industries and different countries. Most regularly use AI, to varying degrees of sophistication, and love the clout they’ve earned by becoming the sole resource of all things marketing. They enjoy the direct line to the company’s leaders, the unique vantage point of understanding the brand on a deep level, and the ability to craft a narrative that reinforces what the company wants to be.

The Pros and Cons of Solo Marketing

That said, many solo marketers complained about the long hours and burnout, though one confessed to the neurochemical rewards that fuel busy marketers. The pros of solo marketing include agility, ownership, and constant dopamine hits when everything aligns. However, the cons include burnout, being the strategist, tactician, and executor, with no one to catch what you drop. Every delay, misfire, or gap ultimately rolls up to you. A more serious challenge is an occupational hazard: lonesomeness. If solo marketers fail to bond with others inside and outside the business, it could adversely affect both the marketer and the business.

Challenges for Solo Marketers

Beyond the emotional impact on the marketer, there’s an invisible cost in creative isolation. Without peers to challenge your ideas, it’s easy to get stuck in your own echo chamber. It reminded me of the echo chambers that AI is creating for people who rely on it too much. In the meantime, there may be even a more serious challenge for solo marketers: the nature of their jobs forces them to prioritize short-term results over long-term strategy. CEOs are obsessed with immediate clicks but forget that if your brand doesn’t mean anything, you won’t scale anything.

The Role of CEOs and Employers

CEOs will need to understand that solo marketers cannot advise them on things like positioning and brand strategy without proper support and resources. They need to know what to look for in a solo marketer and recruit thoughtfully. The reality is that it’s hard, if not impossible, to find someone who possesses all marketing skills. Employers will need to put in an intense amount of effort upfront, both vetting solo marketers in the hiring process and supporting and onboarding them to prepare them for success.

Back to the Table

The scarcity of true full-stack marketers — those who come with a strong human layer — puts pressure on employers. A former colleague of mine recently landed a solo CMO job at a well-funded martech/adtech firm. Originally, the hiring team was looking for someone less seasoned. An advisor intervened and recommended they take a closer look at senior talent — and pay a bit more money for it — and hire my friend. That, of course, put some pressure on her, but she found an opportunity to prove herself on the first day of the job.

Conclusion

Weighing the rewards and risks, what should marketers and their employers be thinking about? First, the expanding role of AI in the marketing workplace is inevitable. There’s no sense fighting it, and it’s an opinion shared by creatives and technologists alike. Second, not all solo marketers are created equal. So-called “soft skills” will continue to differentiate the best and the brightest, and employers will need to compete for them, as they always have. Finally, marketing today is in a position where it may need to reposition itself. Behind the corporate drive to do more with less with more technology is the relentless, historical mandate to make money and cut costs.

FAQs

  • Q: What is a solo marketer?
    A: A solo marketer is a one-person marketing team, often found in startup or early growth stage companies.
  • Q: What are the benefits of solo marketing?
    A: The benefits include agility, ownership, and constant dopamine hits when everything aligns.
  • Q: What are the challenges of solo marketing?
    A: The challenges include burnout, being the strategist, tactician, and executor, with no one to catch what you drop, and creative isolation.
  • Q: How can CEOs support solo marketers?
    A: CEOs can support solo marketers by providing them with the necessary resources and support, and understanding that they cannot advise on things like positioning and brand strategy without proper support.
  • Q: What is the role of AI in solo marketing?
    A: AI plays a significant role in solo marketing, as it can help with tasks such as data analysis and content creation, but it also creates echo chambers and can lead to creative isolation.
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Innovation and Technology

Leveraging AI for DEIA Training: A New Era in Inclusive Learning

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Leveraging AI for DEIA Training: A New Era in Inclusive Learning

Software and platforms for DEIA, such as diversity, equity, inclusion, and accessibility training, have become increasingly important in today’s workplace. Leveraging AI for DEIA training is a game-changer, offering a new era in inclusive learning. With AI-powered tools, organizations can create personalized and interactive training programs that cater to diverse learning needs and styles.

What is DEIA Training?

DEIA training is designed to promote a culture of inclusivity and respect within organizations. It aims to educate employees on the importance of diversity, equity, and inclusion, and provide them with the skills and knowledge needed to create a welcoming and accessible work environment. DEIA training can be delivered through various formats, including in-person workshops, online courses, and AI-powered simulations.

Benefits of DEIA Training

The benefits of DEIA training are numerous, including improved employee engagement, increased productivity, and enhanced creativity. By fostering a culture of inclusivity, organizations can attract and retain top talent, improve customer satisfaction, and enhance their reputation. DEIA training can also help organizations to comply with regulatory requirements and avoid costly lawsuits.

How AI Can Enhance DEIA Training

AI can enhance DEIA training in several ways, including personalization, gamification, and simulation-based learning. AI-powered tools can analyze employee data and create personalized learning pathways that cater to individual needs and preferences. AI can also make DEIA training more engaging and interactive, using gamification techniques such as quizzes, challenges, and rewards.

AI-Powered DEIA Training Platforms

Several AI-powered DEIA training platforms are available, offering a range of features and functionalities. These platforms can help organizations to create and deliver DEIA training programs that are tailored to their specific needs and goals. Some popular AI-powered DEIA training platforms include diversity and inclusion learning management systems, AI-driven training simulations, and virtual reality-based training tools.

Best Practices for Implementing AI-Powered DEIA Training

To implement AI-powered DEIA training effectively, organizations should follow best practices such as defining clear goals and objectives, selecting the right AI-powered platform, and providing ongoing support and evaluation. It is also essential to ensure that AI-powered DEIA training is accessible and inclusive, using techniques such as closed captions, audio descriptions, and keyboard-only navigation.

Overcoming Challenges and Limitations

While AI-powered DEIA training offers many benefits, there are also challenges and limitations to consider. These include ensuring data quality and accuracy, addressing bias and fairness, and providing transparency and accountability. Organizations should also be aware of the potential risks of relying too heavily on AI, including the risk of perpetuating existing biases and stereotypes.

Real-World Examples of AI-Powered DEIA Training

Several organizations have successfully implemented AI-powered DEIA training programs, achieving significant benefits and improvements. For example, a leading tech company used AI-powered training simulations to reduce bias and improve diversity hiring practices. Another organization used AI-driven training tools to enhance employee engagement and retention, resulting in significant cost savings and improved productivity.

Measuring the Impact of AI-Powered DEIA Training

To measure the impact of AI-powered DEIA training, organizations should use a range of metrics and evaluation tools. These can include surveys and feedback forms, diversity and inclusion metrics, and return on investment (ROI) analysis. By tracking and analyzing these metrics, organizations can refine and improve their AI-powered DEIA training programs, ensuring that they are effective and impactful.

Conclusion

In conclusion, leveraging AI for DEIA training is a new era in inclusive learning, offering a range of benefits and opportunities for organizations. By using AI-powered tools and platforms, organizations can create personalized and interactive training programs that cater to diverse learning needs and styles. While there are challenges and limitations to consider, the benefits of AI-powered DEIA training make it an essential investment for any organization committed to diversity, equity, inclusion, and accessibility.

Frequently Asked Questions (FAQs)

Q: What is AI-powered DEIA training?

A: AI-powered DEIA training uses artificial intelligence and machine learning algorithms to create personalized and interactive training programs that promote diversity, equity, inclusion, and accessibility.

Q: How can AI enhance DEIA training?

A: AI can enhance DEIA training by providing personalization, gamification, and simulation-based learning, making training more engaging and effective.

Q: What are the benefits of AI-powered DEIA training?

A: The benefits of AI-powered DEIA training include improved employee engagement, increased productivity, and enhanced creativity, as well as improved compliance and reduced risk.

Q: How can organizations implement AI-powered DEIA training effectively?

A: Organizations can implement AI-powered DEIA training effectively by defining clear goals and objectives, selecting the right AI-powered platform, and providing ongoing support and evaluation.

Q: What are the challenges and limitations of AI-powered DEIA training?

A: The challenges and limitations of AI-powered DEIA training include ensuring data quality and accuracy, addressing bias and fairness, and providing transparency and accountability.

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Innovation and Technology

The Rise of Tech-Savvy Social Enterprises: Disrupting the Status Quo

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The Rise of Tech-Savvy Social Enterprises: Disrupting the Status Quo

What are Tech-Savvy Social Enterprises?

Tech-savvy social enterprises are organizations that utilize technology to drive social impact and create positive change. These enterprises leverage technology to develop innovative solutions to complex social problems, such as poverty, inequality, and environmental degradation. By using technology, social enterprises are able to reach more people, increase efficiency, and create sustainable solutions.

Key Characteristics of Tech-Savvy Social Enterprises

Tech-savvy social enterprises have several key characteristics that set them apart from traditional social enterprises. These characteristics include a strong focus on technology, a commitment to innovation, and a willingness to take risks. Additionally, tech-savvy social enterprises are often driven by a desire to create systemic change and address the root causes of social problems.

The Impact of Tech-Savvy Social Enterprises

The impact of tech-savvy social enterprises is significant, and can be seen in a variety of areas. For example, tech-savvy social enterprises are creating innovative solutions to address issues such as access to healthcare, education, and financial inclusion. By leveraging technology, these enterprises are able to reach more people, increase efficiency, and create sustainable solutions.

Examples of Tech-Savvy Social Enterprises

There are many examples of tech-savvy social enterprises that are creating positive impact. For instance, organizations such as Coursera and edX are using online learning platforms to increase access to education. Similarly, companies such as M-Pesa and Paytm are using mobile payments to increase financial inclusion. These enterprises are just a few examples of the many organizations that are using technology to drive social change.

Benefits of Tech-Savvy Social Enterprises

The benefits of tech-savvy social enterprises are numerous. For example, these enterprises are able to increase efficiency, reduce costs, and create sustainable solutions. Additionally, tech-savvy social enterprises are able to reach more people and create a greater impact than traditional social enterprises.

Increased Efficiency

One of the key benefits of tech-savvy social enterprises is increased efficiency. By leveraging technology, these enterprises are able to automate processes, streamline operations, and reduce waste. This increased efficiency enables tech-savvy social enterprises to focus on high-impact activities and create a greater impact.

Reduced Costs

Another benefit of tech-savvy social enterprises is reduced costs. By leveraging technology, these enterprises are able to reduce operational costs, minimize waste, and optimize resources. This reduction in costs enables tech-savvy social enterprises to allocate more resources to high-impact activities and create a greater impact.

Challenges Facing Tech-Savvy Social Enterprises

Despite the many benefits of tech-savvy social enterprises, there are also several challenges that these organizations face. For example, tech-savvy social enterprises often struggle to access funding, talent, and technology. Additionally, these enterprises must navigate complex regulatory environments and address issues related to data privacy and security.

Access to Funding

One of the key challenges facing tech-savvy social enterprises is access to funding. These enterprises often struggle to secure funding from traditional sources, such as grants and donations. As a result, tech-savvy social enterprises must be creative in their fundraising efforts and explore alternative sources of funding, such as impact investing and social entrepreneurship competitions.

Access to Talent

Another challenge facing tech-savvy social enterprises is access to talent. These enterprises often struggle to attract and retain top talent, particularly in areas such as software development and data science. As a result, tech-savvy social enterprises must be strategic in their recruitment efforts and offer competitive salaries and benefits to attract top talent.

Conclusion

In conclusion, the rise of tech-savvy social enterprises is revolutionizing the way we approach social entrepreneurship. By leveraging technology to drive positive impact, these innovative organizations are creating a new era of social change. While there are challenges facing tech-savvy social enterprises, the benefits of these organizations are clear. As the social entrepreneurship sector continues to evolve, it is likely that tech-savvy social enterprises will play an increasingly important role in creating positive impact and driving social change.

Frequently Asked Questions

What is a tech-savvy social enterprise?

A tech-savvy social enterprise is an organization that utilizes technology to drive social impact and create positive change.

What are the benefits of tech-savvy social enterprises?

The benefits of tech-savvy social enterprises include increased efficiency, reduced costs, and the ability to create sustainable solutions.

What are some examples of tech-savvy social enterprises?

Examples of tech-savvy social enterprises include organizations such as Coursera, edX, M-Pesa, and Paytm.

What challenges do tech-savvy social enterprises face?

Tech-savvy social enterprises face challenges such as access to funding, talent, and technology, as well as complex regulatory environments and issues related to data privacy and security.

How can I get involved with tech-savvy social enterprises?

You can get involved with tech-savvy social enterprises by donating, volunteering, or working with these organizations. Additionally, you can support tech-savvy social enterprises by spreading the word about their work and advocating for their cause.

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