Manufacturing & Mobility LIVE: Neby Ejigu, FINN Partners
At Manufacturing & Mobility LIVE, Neby Ejigu, Senior Partner for Digital Transformation at FINN Partners, delivered an engaging session on predictive intelligence in manufacturing and mobility.
Neby highlighted the transformative power of AI-driven insights, focusing on predictive analytics, data hygiene and the human-centric strategies needed to future-proof organisations.
To watch Neby's keynote, click here.
Predictive intelligence as a game changer
Neby opens by addressing the rapidly evolving landscape of manufacturing and technology. He discusses the convergence of Industry 4.0 and Industry 5.0, underscoring how the speed and scale of technological advancements are reshaping operations.
From IoT and digital twins to advanced AI, predictive analytics is emerging as a core driver of operational efficiency and competitive advantage.
“Predictive analytics,” Neby states, “is no longer just about responding to past data.
It’s about anticipating market demands, detecting shifts early and enabling proactive issue resolution.”
He cites examples of companies leveraging AI for enhanced forecasting, proactive maintenance and supply chain optimisation, saving millions in downtime and improving inventory management by up to 15%.
Practical applications of predictive analytics
Neby shares case studies showcasing the impact of predictive intelligence across industries:
- Enhanced forecasting: Predictive models help manufacturers anticipate customer demand with unprecedented accuracy, enabling real-time adjustments in production and supply chains.
- Proactive maintenance: By analysing data from sensors and IoT devices, companies can predict equipment failures and address issues before they cause downtime. This approach reduces maintenance costs by 30–50% and boosts productivity.
- Customer-centric innovation: Insights from sentiment analysis and social listening enable manufacturers to design products aligned with evolving consumer preferences, creating competitive advantages.
He highlights how companies like Bosch and Avery Dennison use predictive analytics to innovate product lines, streamline supply chains and align sustainability goals with customer expectations.
Overcoming challenges: Data and cultural shifts
A recurring theme in Neby’s presentation is the importance of clean data. He notes that fragmented, siloed data remains a significant barrier for many organisations.
“Data hygiene,” he emphasises, “must become an organisational belief system.”
Neby also stresses the need for cultural transformation. Change management and workforce upskilling are vital to the success of predictive analytics initiatives.
By involving operations champions, IT teams and change advocates early in the process, companies can foster collaboration and ensure alignment across departments.
Building the foundation for predictive intelligence
Neby outlines a step-by-step framework to prepare organisations for predictive intelligence:
- Establish data hygiene: Standardise data collection and ensure quality across all systems. Clean data is critical for the accuracy and scalability of predictive models.
- Integrate systems: Break down silos by connecting disparate systems into a unified ecosystem, using cloud platforms and middleware to enable seamless data flow.
- Start small, scale smart: Pilot predictive analytics projects to test capabilities and demonstrate ROI. Use these initial successes to drive broader adoption across the organisation.
- Upskill the workforce: Train employees on data governance, ethical AI and the use of predictive tools to maximise the value of analytics initiatives.
- Define ownership roles: Assign clear responsibilities for data management, security and operational execution to ensure accountability and streamline decision-making.
Future-proofing with predictive intelligence
In a Q&A session, Neby shares insights on how organisations can future-proof themselves amid rapid technological advancements.
He recommends focusing on adaptable systems, robust data governance and ongoing workforce development.
“Your people,” Neby says, “are the gatekeepers of your data quality. Upskilling them ensures your AI solutions remain relevant and effective as the technology evolves.”
Neby concludes by encouraging organisations to embrace predictive analytics as a journey rather than a one-time implementation. By laying strong foundations, businesses can adapt to change, unlock new opportunities and maintain a competitive edge.
Essential diary dates for 2025
Discover the essential diary dates for Manufacturing Digital, as well as its sister publications – Procurement Magazine, Supply Chain Digital and Sustainability Magazine.
To follow Manufacturing LIVE on LinkedIn, click here.
To enter for the Global Procurement & Supply Chain Awards, click here.
- Procurement & Supply Chain LIVE Singapore | 11 February
- Procurement & Supply Chain LIVE: Sustainability | 5-6 March
- Sustainability LIVE: Net Zero | 5-6 March
- Procurement & Supply Chain LIVE Dubai | 29 April
- Sustainability LIVE Chicago | 28-29 May
- Procurement LIVE Chicago | 28-29 May
- Supply Chain LIVE Chicago | 28-29 May
- Manufacturing & LIVE Chicago | 28-29 May
- Procurement & Supply Chain LIVE London | 23-24 September
- Procurement & Supply Chain Awards | 24 September
Explore the latest edition of Manufacturing Digital and be part of the conversation at our global conference series, Manufacturing LIVE.
Discover all our upcoming events and secure your tickets today.
Manufacturing Digital is a BizClik brand.