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Speakers

Saf Angelo, Assistant Director Digital Productivity, NHS England
Saf joined the NHS five years ago. His portfolio covers RPA, IA, automated data capture systems (ADC), extended realities (XR), and other productivity improving technology solutions. Saf's team works across the health and social care sector with the aim of accelerating the adoption of evidence-based digital tools, through improving capabilities sustainably and impactfully, leveraging communities of practice, creating and sharing best practice and ensuring benefits, evaluation and evidence-based research underpins their work.

Darren Atkins, Chief Technology Officer – Intelligent Automation, Royal Free London NHS Foundation Trust
Darren has pioneered the use of Intelligent Automation in healthcare over the last six years, saving the NHS 300,000 hours in the previous 12 months. He has won multiple awards for his work including Health Tech News, Global Sourcing Association, Real IT awards, Paperless awards, NHS Time Matters and HTN Leadership award. Darren was nominated by five MPs in Suffolk and Essex and is a regional winner of a Parliamentary award.

Scott Attreed, Applications Delivery Manager, Norfolk County Council
A digital transformation lead with more than 15 years’ experience in the private and public sectors. Passionate about utilising emerging technologies to deliver business change and add value.

David Cunliffe, Intelligent Automation Lead, Cumbria County Council
David is the automation lead at Cumbria County Council. Intelligent Automation enables the council to deliver high quality services for citizens in a cost effective and sustainable way. He has broad technical and strategic background and is skilled at working with corporate leaders and able to bridge the gap between business requirements and technology.

Naz Juna, Local Government Lead, SS&C Blue Prism
Naz looks after local government customers who use intelligent automation and digital workers from SS&C Blue Prism. By integrating digital workers into public service, they enable social care teams, finance departments, front line services and housing associations to save thousands of hours whilst reducing the cost to serve. These improvements lead to improved delivery of public services.

Dave More, Service Owner, Digital Robotic Automation Centre of Excellence, Department for Environment, Food and Rural Affairs 
Dave has led the Defra Group Robotic Process Automation journey since 2017, delivering the initial Proof of Concept followed by one of the largest user triggered attended automations in government. 60 minutes of back office effort became 6 minutes. This led to the Defra investment in the creation of a Centre of Excellence that is so named because we have a repeatable service design and user journey. He has spent the majority of the last 23 years working in the Defra group in citizen facing services thinking how can he continuously improve its offer.

Iain O’Neil, Managing Partner, TPXimpact
An experienced digital and technology leader with a proven track record of building multi-disciplinary teams in Government, the NHS and the private sector to unlock the power of technology to transform services

Ian Roddis, Digital Director, Buckinghamshire Healthcare NHS Trust

Leonardo Tantari, Chief Digital Information Officer, Leeds City Council and NHS (Leeds) West Yorkshire Integrated Care Board
Leonardo has been in post for over two years, bringing with him vast experience of working at senior leadership level in global companies such as Experian, Walgreens (Boots) and Travelex.  He is accomplished at delivering solutions that drive change and transform services. Leonardo leads complex and diverse digital teams that ensures that no one is left behind within the city with successful digital inclusion and integration programmes, staff training and development, whilst keeping a very keen eye on the finances. He has been instrumental in ensuring both Leeds City Council and the NHS in Leeds automate how staff work so they can focus on delivering the best services to our people and patients.

 

 

 

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