Day 2Thursday, 3 September 2020

• New approaches to human thinking for better AI implementation
• A closer look at governing and gaining value from location data
• Exploring the range of novel and advanced AI technologies which will have an impact on organisations’ AI projects in the next decade

The Centre for Data Ethics and Innovation’s newly published AI Barometer highlights the potential for AI and data-driven technology to address society's biggest challenges, from climate change to an ageing population.

Yet maximising the benefits of this technology will require us to overcome significant shortcomings in our regulatory regimes. From laws that are difficult to interpret, to regulators that lack sufficient technical expertise, there is significant room for improvement in how we govern technology.

Join us for our panel debate with industry and regulatory experts, where we will share experiences of operating within this landscape, and discuss what it would take to create a coherent regime that gives all sides the confidence to deploy technology for the benefit of society

Data science teams have different levels of maturity and they need to be equipped with the right tools and infrastructure to make them more agile and ready. Here, I will be discussing a combination of open source tools and cloud managed services that can go hand-by-hand and grow with your data science teams needs as they mature.

With businesses facing unprecedented uncertainty, some companies have turned to AI looking for “an answer.” But these businesses are already on the wrong track - any AI that produces a single answer for how to navigate the months ahead is bound to be wrong. The fact is, business assumptions and expectations are changing so fast that any answer AI comes up with will soon be invalid.

Aible co-founder - Jonathan Wray - presents strategies which ensure Business Led AI success. Jonathan walks through real world examples showing why "75% of AI projects remain at the prototype level as AI experts and organizational functions cannot engage in productive dialogue". Jonathan shows us strategies of how AI and Business work together seamlessly and at scale in order to release the immense power of AI for Businesses like yours.

• Using Small Data and Synthetic Data in
  an AI Strategy for Fashion Retail, Andrey Golub, PhD, CEO & CTO, ELSE Corp Srl
• NED - Nano-Eye Device - an Innovative Open IoT Platform for Molecular Diagnostic and Digital Pathology Applications, Massimo Galavotti, CEO, NTP Nano Tech Projects srl
• Ploovium® Precise Irrigation Five Days in Advance, Matteo Causio, Data Scientist, Soonapse Sr

• Trustworthy AI adoption in enterprises through Clearbox AI Control Room, Shalini Kurapati, PhD, CEO, Clearbox AI Solutions
• Technology for Influencer Marketing, Sylvia Enotiades, Client Partner, Buzzoole Srl

Pharma increases needs, and uses, complex and noisy real-world datasets - However, these sometimes defy ready analysis with traditional methodology better fitted for clean and structured data - Here I cover advances that allow complex and irregular data to be analysed for improving drug development.

AI technology holds out immense promise to transform cancer care, but this does not obviate the need for a robust evidence base that demonstrates value, and that meets the same evidence standards as any other medical intervention. When the marketing hype surrounding AI in health care is peeled away however, the evidence is sparse.

Danny will propose a draft AI validation framework and argue that the characteristics of AI technology require a different approach to real world clinical evaluation, and a much more collaborative relationship between industry, academic research and clinical practice. Danny will use a recent case study from Guy’s clinical evaluation of IBM Watson’s clinical decision support tool in breast cancer.