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Fabio Ardossi, Partner, Data Reply UK

Describe your career to date

 

I have developed my professional path in data and artificial intelligence since the beginning of my career and I had the opportunity to make experiences along key complex data transformation programmes within cross-industry enterprises. In my current role, I am CEO of a boutique consulting company focused on artificial intelligence (AI) innovation and strategy and we enable medium and large businesses to the use of AI – with an obsession on quality and speed to match expectations in this fast-paced growing market. I have witnessed an important transition in data initiatives as they are becoming core part of our clients’ business and operations and this transition required us to move from transaction centric consultancy to experience centric consultancy, where supporting the creation of data and AI pillars like data governance, data-driven culture, responsible AI, and more are more important than just having things done. 

What challenges do you see for data in the year ahead that will have an impact on your clients and on the industry as a whole?  

 

We are still struggling to develop a consolidated data ecosystem where quality, significance, security, and democratisation are building blocks of a strategic data roadmap. Technological evolution – especially in AI – is stretching the original use of data platforms and most of weaknesses skipped during the design and delivery of such platforms are now coming up – scalability, data traceability, data ownership, data accessibility, data contract, and exchange. Data literacy stays a key element to spread across organisations to make changes effective at all levels. 

How are you developing the data literacy of a) your own organisation and b) your clients?

 

Leadership by example. There is always an excuse when it comes to make a change and the way to adopt data culture is paved by excuses: “We are data poor”, “it takes longer to submit and retrieve data than act as we have always done”, “I do not like those colours”, etc. My actions are driven by data and, yes, it takes a big effort to present and discuss actions with data. Satisfaction comes when people start to proactively ask for and present data-driven opinions and results. The key to success is to start small, be consistent, tick off all doubts, make a habit, and extend further. 

How are you preparing your organisation and your clients for AI adoption and change management? 

 

Technology, culture, and processes. I realised that technology for the majority of us is an enabler and it is not an incentive. AI is no different; it is a fast-changing piece of digital technology, and when it comes to change management, a key part of the success is instead to identify incentives to use it. Culture defines successful incentives, and it is pivotal between technology and definition and execution of processes. For example, if the adoption of AI undermines a SME’s trust, the risk in adopting AI is extremely high. Processes are oil to gears and serve the purpose to connect technology to culture and eventually provide a robust ecosystem to create new habits. 

Fabio Ardossi
has been included in:
  • 100 Enablers 2022 (EMEA)
  • 100 Enablers 2023 (EMEA)
  • 100 Enablers 2024 (EMEA)

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