by Atiya Sheikh | Mar 2, 2025 | Board Members, CEO, CFO, COO, CIO, News & Articles, Senior Managers, Women Leaders
Modern business thrives on rapid digital transformation, where data is more than just numbers—it is the foundation of innovation and operational success. Without trust in data, even the most advanced AI systems can mislead organisations, causing financial losses and damaging reputations. Recent research highlights this risk: a 2024 Gartner study estimated that poor data quality drains 20–35% of operating revenue, while a Forrester report found that businesses lose 22% of revenue due to data inaccuracies. As generative AI (Gen AI) reshapes industries, organisations must strengthen data trust to harness its full potential.
Data as a Strategic Asset
Reliable data enables leaders to make smarter decisions and drive innovation. However, inaccurate or inconsistent data can lead to costly mistakes, such as incorrect pricing, flawed stock forecasts, or misallocated revenue. These errors can result in substantial financial losses and reputational harm. A McKinsey survey found that 65% of organisations now use Gen AI to enhance decision-making, nearly doubling its adoption in just one year.
Businesses must establish sound data governance to mitigate risks. This requires more than deploying advanced technology; it involves nurturing a data-driven culture and investing in staff training. By standardising data management practices and implementing strong security measures, organisations can transform raw data into a strategic advantage.
Unlocking Efficiency and Innovation with AI
AI integration is already reshaping industries. In customer call centres, Gen AI has reduced transaction times by up to 80% while increasing customer satisfaction by 20%. In aerospace, defence, manufacturing, and automotive sectors, AI-powered 3D modelling accelerates product design and production. Meanwhile, digital twins revolutionise supply chain management.
A global Statista report found that 57% of organisations expect AI to drive efficiency and innovation. By leveraging AI and automation, companies optimise processes and unlock new opportunities. These range from personalised customer experiences to enhanced ESG (Environmental, Social, and Governance) reporting, which supports sustainable growth.
Building and Maintaining Data Trust
To fully capitalise on AI, organisations must first assess their data quality. Identifying gaps and creating a clear improvement strategy are essential steps. A strong governance model should define roles, responsibilities, and processes that safeguard data integrity. Studies show that companies with robust data governance are 40% more likely to outperform competitors.
Upskilling employees is equally important. As AI-driven operations expand, collaboration between data teams and business units ensures data remains accurate, consistent, and secure.
Regulation, Ethics, and Responsible Data Use
Once data trust is established, maintaining it requires strict attention to regulation and ethics. AI technologies now detect anomalies, reduce manual errors, and predict trends, automating data quality checks. However, ethical considerations remain essential. Organisations must implement safeguards against biases in AI algorithms, ensuring transparency in data use and accountability in AI-driven decisions. Understanding a dataset’s origin—its lineage—reinforces transparency and responsible usage, ultimately strengthening trust.
Looking Ahead: A Data-Driven Future in 2025 and Beyond
As Gen AI continues expanding, its influence will grow stronger. The UK government’s AI Opportunities Action Plan, introduced in January, highlights data’s role in creating jobs, driving innovation, and increasing productivity. With global AI investments rising, the strategic value of data integrity becomes even clearer.
In 2025, businesses that enhance data trust will lead successful AI adoption and improve performance. Organisations that prioritise secure, accurate, and transparent data will protect their operations while unlocking new opportunities for growth and innovation.
There is no substitute for data you can trust. How is your organisation ensuring data integrity in an AI-driven world? By investing in strong governance, ethical AI practices, and continuous upskilling, businesses can turn data challenges into competitive advantages in an increasingly digital world.
The Right Conversation Can Change Everything. Let’s Talk.
by Joy Maitland | Feb 10, 2025 | Board Members, Board Trustees, CEO, CFO, COO, CIO, Heads of Divisions, Leadership Development, Managing Directors, News & Articles, Non-Executive Board Members, Senior Managers
In a world where technology is advancing rapidly, leaders must decide: Will they lead or follow? Artificial intelligence (AI) is reshaping industries and competition. The latest investments by tech giants show the need for businesses to embrace innovation. But innovation is not just for executives or research teams. It can come from anyone in an organisation.
The AI Investment Race: A Lesson in Leadership
Amazon is the latest company to reaffirm its commitment to AI. CEO Andy Jassy announced that Amazon’s £26.3 billion capital expenditure last quarter is a good estimate for 2025. Most of that funding will go towards AI infrastructure for Amazon Web Services (AWS). Jassy believes AI will transform applications, making it as fundamental as computing, storage, and databases.
Amazon is not alone. Microsoft plans to invest £80 billion in AI data centres in 2025. Meta will spend up to £65 billion, mainly on AI research and development. Alphabet, Google’s parent company, will invest £75 billion, exceeding expectations. OpenAI has also outlined a £500 billion infrastructure project to push AI forward.
Challenging the Norm: Innovation from Unexpected Places
Despite these massive investments, recent events show that leadership in AI is not just about spending large sums. A Chinese startup, DeepSeek, recently claimed to have developed a competitive AI model for just £5.6 million. While some industry leaders question this, it highlights an important fact: innovation is not limited to tech giants. Smaller, agile organisations can challenge the status quo and think differently.
This is a reminder for business leaders in all sectors. The next big breakthrough could come from a mid-level manager spotting an opportunity. It could be a frontline employee identifying inefficiencies. It could be a team rethinking old ways of working. Companies that create an environment where employees at all levels can contribute ideas will be the ones that lead.
What Does This Mean for Your Business?
The AI revolution is not just for Silicon Valley. It is a strategic priority for businesses everywhere. The real question is not whether to invest in AI, but how to use it effectively. More than financial commitment, it requires strong leadership, openness to ideas, and a readiness to embrace change.
Leaders should consider:
- Do we encourage employees to contribute innovative ideas?
- Are we agile enough to adapt to new opportunities?
- Are we actively exploring AI applications in our industry?
- Are we willing to challenge old ways of doing business?
Final Thoughts: Lead, Don’t Follow
History shows that leaders in innovation are not always those with the biggest budgets. They are the ones with the boldest vision. While Amazon, Microsoft, Meta, and Google are investing heavily, real game-changers may come from unexpected places. Leadership is about setting trends, not following them.
At Inemmo, we work with middle to senior leaders worldwide, helping them navigate change. Whether in technology, finance, healthcare, or another field, the key question remains: Are you leading the way, or waiting for others? The future belongs to those willing to innovate. Will that be you?
The Right Conversation Can Change Everything. Let’s Talk.
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by Atiya Sheikh | Feb 7, 2025 | Board Members, Board Trustees, CEO, CFO, COO, CIO, Heads of Divisions, Human Resources (HR), Leadership Development, Middle Managers, News & Articles, Non-Executive Board Members
Working across multiple countries, I have seen first-hand how organisations perceive themselves as digitally prepared. However, despite rapid advancements, many businesses and employees are still not ready for the demands of a truly digital-first world. The gap between perception and reality remains wide, with technology often outpacing workforce readiness.
The Hidden Digital Divide: Why Your Workforce Isn’t as Ready as You Think
Technology is no longer a competitive advantage—it is a necessity. However, a surprising disconnect exists. Many organisations believe they are digitally equipped, but research from Virgin Media O2 Business and the Centre for Economics & Business Research (Cebr) reveals that only a fraction truly harness technology to empower employees and improve productivity.
The Cost of Falling Behind
The consequences of digital stagnation are significant. Between 2021 and 2023, the UK economy missed out on an estimated £111 billion in turnover due to digital inefficiencies. But this issue is not limited to the UK. Across the globe, nations that lag in digital transformation risk economic decline, lower workforce productivity, and reduced global competitiveness.
A Global Challenge with High Stakes
Governments and businesses worldwide recognise the urgency of digital transformation. Some nations have launched large-scale initiatives to bridge the skills gap and improve their position in the digital economy:
- Nigeria’s 3 Million Technical Talent (3MTT) Programme aims to train three million digital specialists by 2027, preparing the country to become a key exporter of tech talent.
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In Kenya, AI-driven agricultural tools such as PlantVillage and Virtual Agronomist have significantly increased farming productivity by providing precise recommendations on fertilisation, pest control, and soil health.
While these initiatives show how digital investment can drive growth, some nations still struggle with digital adoption despite high technological penetration. For instance, the GSMA Report on South Africa’s Digital Economy highlights that despite high mobile and internet access, the country still faces slow digital adoption in industries outside finance and telecommunications. Access to digital tools alone does not guarantee transformation. Businesses must integrate technology into their workflows and build a workforce capable of leveraging digital advancements.
What obstacles are holding them back, and what steps can they take to accelerate adoption?
Why Digital Transformation Stalls: Barriers to Adoption
Despite investment in digital tools, many companies fail to unlock their full potential due to key obstacles:
- Cultural Resistance – Employees who are used to traditional workflows often see digital transformation as a threat—whether in the form of increased workload, job displacement, or unfamiliarity with new tools.
- Legacy Systems & Outdated Infrastructure – Many organisations rely on outdated technology that stifles innovation. Without proper integration, new tools can create inefficiencies rather than solve them.
- Lack of Leadership Alignment – Digital transformation requires strong leadership commitment. If executives do not support digital adoption, employees are less likely to engage.
- The Digital Skills Gap – A recent Department for Education Employer Skills Survey (2024) found that nine in ten UK businesses struggle with skills shortages, particularly in entry-level positions (32% of the gap) and technical fields (29%). Alarmingly, the proportion of businesses considering training programmes has dropped from 60% in 2024 to 54% in 2025 due to financial constraints and lack of awareness.
The digital skills gap is estimated to cost the UK economy £63 billion annually. 18% of UK adults (7.5 million people) lack essential workplace digital skills, with 1.9 million unable to perform any basic digital tasks at work. These figures highlight the pressing need for sustained digital training initiatives.
Steps to Accelerate Digital Transformation
Organisations must take a people-first approach to digital transformation. Here’s how:
1. Lead with Clear Goals – Digital transformation is about people, not just technology. Employees are more likely to embrace change when they understand how digital tools align with organisational goals. Leaders must clearly communicate the purpose behind digital initiatives and ensure alignment across teams.
2. Invest in Digital Skills – One-off training sessions are ineffective. Organisations must embed ongoing digital learning into their culture. This includes:
- Prioritising digital literacy at all levels, from entry-level staff to executives.
- Offering on-demand training in emerging technologies such as AI, cloud computing, and cybersecurity.
- Partnering with educational institutions and online platforms to upskill employees cost-effectively.
3. Encourage Experimentation – A digital workforce needs space to innovate. Companies should:
- Encourage employees to test and experiment with new tools.
- Provide safe environments for digital experimentation and feedback.
- Recognise and reward employees who adopt digital-first approaches.
4. Improve Digital Communication & Collaboration – Remote and hybrid work requires strong digital collaboration. Ensuring that employees are comfortable using tools like Microsoft Teams, Slack, and AI-driven communication platforms can boost efficiency and teamwork.
Aligning Digital Tools with Business Goals
Technology is only effective when supported by a strong strategy. Businesses can maximise their digital investments by:
- Reviewing Digital Tools: Many organisations accumulate unnecessary digital tools. A tech audit can streamline processes and reduce costs.
- Encouraging Collaboration Across Departments: Digital adoption should not be limited to IT teams. Engaging all departments ensures widespread transformation.
- Tracking Progress: A data-driven approach helps businesses adapt their digital strategy. Employee feedback and performance metrics ensure long-term success.
A Future-Ready Workforce Starts with Leadership
Closing the digital divide requires leadership commitment. CEOs, CIOs, and senior executives must not only support digital transformation but actively engage in it. Organisations that build a digital-first culture will gain a competitive edge, increase efficiency, and drive growth.
The digital future is here—is your workforce ready?
The Right Conversation Can Change Everything. Let’s Talk.
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by Atiya Sheikh | Feb 7, 2025 | Board Members, Board Trustees, CEO, CFO, COO, CIO, Emerging Leaders, Heads of Divisions, Human Resources (HR), Leadership Development, Middle Managers
Harnessing Generative AI for Innovation, Efficiency, and Growth
In the fast-evolving landscape of digital transformation, businesses are constantly seeking new ways to gain a competitive edge. One of the most transformative technologies of our time is Generative Artificial Intelligence (Gen AI). While AI has been a game-changer for years, the rise of Gen AI is opening unprecedented opportunities for business leaders to drive innovation, improve efficiency, and create new revenue streams. But to unlock its full potential, organisations must move beyond experimentation and strategically integrate Gen AI into their core business operations.
The Strategic Imperative of Gen AI
Gen AI is not just another technological trend—it is a fundamental shift in how businesses can generate content, automate decision-making, and enhance human capabilities. A 2024 survey by McKinsey revealed that 65% of organisations are now regularly utilising Gen AI, nearly doubling from the previous year (mckinsey.com).
Key Areas Where Gen AI Delivers Value
- Enhanced Productivity & Efficiency
- Automating repetitive tasks, such as report generation and data analysis, reduces manual workload and increases operational efficiency.
- AI-powered virtual assistants streamline administrative functions, allowing employees to focus on strategic priorities.
- Innovation & Creativity
- Gen AI can generate new ideas, designs, and content, enabling businesses to scale creativity while maintaining quality.
- It accelerates product development by simulating scenarios and predicting outcomes before actual investments are made.
- Customer Experience Transformation
- AI-driven personalisation enables businesses to create hyper-customised experiences for customers.
- Advanced chatbots and virtual agents provide 24/7 customer support, improving response times and satisfaction.
- Data-Driven Decision-Making
- AI-powered analytics provide actionable insights, helping leaders make informed strategic decisions.
- Predictive modelling and forecasting allow businesses to anticipate market trends and customer behaviours more accurately.
- Revenue Growth & New Business Models
- AI-generated content and automated services enable businesses to scale without proportional increases in costs.
- New business models, such as AI-as-a-Service, open additional revenue streams for enterprises willing to invest in AI capabilities.
Overcoming Challenges in Gen AI Adoption
Despite its potential, the implementation of Gen AI comes with its own set of challenges, including ethical considerations, data privacy concerns, and resistance to change. To overcome these barriers, business leaders must:
- Develop a Clear AI Strategy: Align AI initiatives with business goals to ensure focused and measurable outcomes.
- Invest in Talent & Training: Equip employees with AI literacy and foster a culture of innovation.
- Ensure Responsible AI Use: Establish ethical guidelines and transparency frameworks to mitigate risks related to AI-generated content.
- Leverage a Hybrid Model: Combine human expertise with AI capabilities to maximise efficiency without compromising quality.
The Road Ahead
Gen AI is not a futuristic concept—it is here, and it is transforming businesses today. AI spending surged to $13.8 billion in 2024, more than six times the $2.3 billion spent in 2023, signalling a shift from experimentation to execution (menlovc.com). Furthermore, for every £1 organisations invest in generative AI, they are realising an average of £3.70 in return, highlighting the tangible benefits of strategic AI integration (blogs.microsoft.com).
Leaders who embrace AI-driven transformation with a strategic mindset will be at the forefront of their industries. By identifying high-impact use cases, fostering a culture of AI adoption, and investing in the right talent and infrastructure, organisations can unlock the full value of Gen AI and drive sustainable growth.
The time to act is now. Are you ready to harness the power of Gen AI for your business transformation?
