While there are endless solutions for transformation in the digital space, it is the responsibility of lab leaders to drive transformation in the physical space. Creating organizational buy-in, cross-coordinating between departments and spreading new systems to all labs can become tremendous challenges if the organisation needs to be fought every step of the way. The primary challenge of digitalisation then, is not the digital but the analogue, if you cannot transform your organisation and help your technicians to succeed, no amount of new digital tools will improve efficiency.

Join this panel to listen as our experts discuss how to how to secure organizational buy-in. From discussing how best to drive cooperation between departments to comprehending the personal side of digital transformation join this expert panel as it explores:

•       Building use cases for new digitalisation technology to improve C-suite support and investment

•       Keeping transformation personal, and ensuring it improves employee efficiency first and foremost

•       Transforming systems from the ground up, building modular showcases to spread effective digitalisation strategies across your company

•       Engaging with the human side of digital transformation and respecting the hands that hold the tools

•       Cooperating across departments to create a strategic view of change management

Stephanie Aladenise

Transformation Director, Laboratories
Mars

See Bio

Alexander Jung

Federated Data Value Office Lead - Global Development
Boehringer Ingelheim

See Bio

As cloud data storage becomes necessary for digitalisation, R&D and Quality leaders are faced with a mounting set of challenges. Data governance, improving data quality and data interoperability can be difficult when data becomes enclosed within a vendor’s cloud. Change management is challenging when different solutions and platforms are not designed to communicate with each other. Planning for future automation becomes impossible when private data must be shifted to a vendor’s system to train a model.

To solve these problems, lab leaders must construct data eco-systems that they can control, where data is storage is directly owned, standardised and interoperable between departments, and even countries. Join this presentation to focus in on:

·       Remaining compliant with long-term archiving in human-readable formats

·       Using on-premises data storage to centralise and standardise both data and meta-data

·       Building modular systems to enable easy integration with new vendor tools in the future

The basis of analytics rests on the data we collect, but creating these innovative solutions relies on generating buy in from across all data stakeholders. Generation of well annotated data management workflows will enable building predictive models that can be used to drive future automation, and therefore the laying the foundations of them in data collection is vital. Join this session to uncover the links between well-annotated and findable, accessible, interoperable, and reusable data and predictive modelling in the future.

·       Discuss how to drive buy-in for well-annotated and FAIR data across the business

·       Uncover the foundations of advanced predictive analytics

·       Enhance the quality of your data collection

Lovisa Holmberg Schiavone

Director Protein Science, Discovery Biology, Discovery Sciences
AstraZeneca

See Bio

As lab leaders face increasing demands for faster product production and higher standards of accuracy, automating mundane manual tasks becomes increasingly important and prescient. Leaving technicians and scientist’s hands free to conduct the complex intellectual processes key to the discovery and testing of new products would be an efficiency transformation; but for years robotics has been a huge question mark for many labs, given the challenges of both time and cost. However, implemented correctly robotics can be a true driver of process optimisation. Join this innovative case study do hear about the journey of automating with robotics:

• Aligning robotics with your teams’ goals to eliminate tasks that are pure manual labour
• Tackling the implementation of robotics in older labs, and learning how to make simple robotics work with pre-existing systems
• Explore minor robotic implementations that allow you to dip a toe into the future of lab automation
• Integrating robotic systems into instrument data collection to build further cases for automation

Data scientists sit downstream of lab data collection, yet their ability to analyse data and model test results is vital to the functioning of the modern lab. Furthermore, standardised, interoperable, and contextualised data is the backbone of modern innovation. Scientists, technicians, and researchers are naturally predisposed to innovating with their systems and experiments, but the cost of building use cases and the difficulty of analysing data from across the business can leave these innovative ideas to flounder. By building truly interoperable data systems into lab digitalisation, you can enable innovation across the entire chain. When each stakeholder has true digital citizenship, they are empowered to use their data to benefit the business, from large-scale transformation to the construction of the next big use-case.

Join this plenary presentation to discover how to build innovative potential into your data journey.

• Exploring the pivotal role high quality data plays in laying the groundwork for future innovation
• Giving tools to your technicians to enable the building of cost-effective use cases
•  Promoting data citizenship to allow for chain-wide innovation
• Giving the next generation of innovators the data tools to succeed

Alexander Jung

Federated Data Value Office Lead - Global Development
Boehringer Ingelheim

See Bio

Process digitalisation often begins from the top down, a new idea or systems is required for the wider enterprise to function, and so digitalisation occurs, forcing buy-in and difficulty every step of the way. However, this is a solution first approach, innovation comes in the solving of problems, not in the forcing of solutions. Working from business critical needs to translate the most pressing lab difficulties into the best digital solutions is where the true path to digital harmony lies.

Join this dual presentation to uncover:

·       Identifying business needs to determine the most efficient applications of digitalisation

·       Creating roadmaps for Lab of the Future transformation

·       Cooperating across the value chain to enable business needs to be identified