Many emerging technologies are set to impact every aspect of business. But there is considerable work to be done to create a comprehensive strategy and architecture to be able to turn the stored data into valuable business asset through scalable and flexible Cloud and with AI solutions. But this can be a daunting task as every enterprise will have to deal with the innumerable technologies, stakeholders as well as prioritize their efforts in making the changes.
This conference will help you:
We are inviting speakers – thought leaders, subject experts and start up entrepreneurs – to share their knowledge and enthusiasm about their work and their vision in the field of Enterprise Data, AI and Cloud. Please let us know too if you would like to participate in the panel sessions only.
We understand that successful projects are written up as “White Papers”. Please share these with us. But projects that did not achieve their targets – “Black Papers” – are of interest to us too. They can be a very important topics of discussion / panels that you can present. Talk to us about both, we welcome your input.
We are also planning short “how to do” sessions or full day workshops to run simultaneously as pre or post conference events.
Please complete the speaker’s response form and submit a proposal to present at this event.
UNICOM’s Code of Conduct & Views on Diversity
Our approach is that our events are dedicated to providing a harassment-free experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity or religion. We do not tolerate intimidation, stalking, harassing photography or recording, sustained disruption of sessions or events, and unwelcome physical contact or sexual attention. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, Twitter and other online media. Event participants violating these rules may be sanctioned or expelled from the event without a refund at the discretion of the conference organisers. Please bring your concerns to the immediate attention of the event staff.
Diversity: In our endeavour to be the provider of knowledge to the business community, we understand that this depends on hearing from and listening to a variety of perspectives that come from people of all races, ethnicities, genders, ages, abilities, religions, sexual orientation, and military service. We welcome diverse speakers for all our events, we do not always fully achieve this goal, but it is an ongoing process.
Jonathon Wright, Chief Technology Officer, Digital Assured
In the digital reality, technology is no longer just the enabler and it is what it is to be human, the ability to continuously learn and evolve. The approaches and techniques that worked yesterday, may no longer be the optimum approach for the future. Historically, human processes have been based on linear, sequential activities highly suitable to be replaced by digital engineering practices such as Artificial Intelligence (AI) and Machine Learning (ML). However, robots are no longer mimicking human behaviours, but far surpassing our greatest expectations, traditional hardware and software are now becoming independent self-aware intelligent entities. Organisations are investing in adopting cognitive engineering, these intelligent algorithms to understand and interpret your business needs through natural languages are help drive omni-channel delivery that are extremely responsive to customer sentiment. Blurring the boundaries with Augmented Intelligence and Enterprise A.I. adoption becoming ever more prevalent and resilient in the face of unpredictable failure modes, whilst still being able to process huge amounts of unstructured data, embarking onto this third wave of artificial intelligence and the art of cognitive assurance.
Sarah Burnett, Chief Data Architect, Defra
For many organisations, Data Architecture is the forgotten architectural discipline. But to maximise business and technology aspirations, it is essential. This talk will cover the experience of implementing Enterprise Data Architecture in the Department of the Environment, Food and Rural Affairs as part of its Digital and Data Transformation initiative.
Elizabeth Basten, Chief Marketing Officer, Wealth Wizards
Financial stresses are costing the UK economy over £12 billion and UK employers are losing 18 million working hours. Financial wellbeing means different things to different people. In order to make a human connection with millions of people on an individual basis at the same time; the only way is AI to make the UK feel better about their money.
Simon Hayhurst, Senior Business Consultant, Coleman Parkes
Dominic Harries, Development Lead for Europe, the Middle East & Africa at IBM’s Cloud Garage
Carly Kind, Director, Ada Lovelace Institute
Sandra Peaston, Director of Research and Development, Cifas
Sandra Peaston, Director of Research and Development, Cifas
This session will cover the evolution of fraud prevention practices and examine the part that data science plays. It will look at where data science is currently used and where it can be used in the future, as well as critically looking at the moral and ethical implications.
Dan Hooper, CEO, Dragonfly
To be market-leading means businesses must evolve their thinking around how they transform and deliver technology beyond that of what they read, experience and see.
One largely untapped area that offers vast potential is the convergence of digital, automation, AI and analytics – technologies that are often viewed in isolation of each other. Through convergence they enable knowledge workers to enhance and amplify organisational capability and address key challenges to reduce avoidable loses, enable more effective decision-making and accelerate time-to-value. Simply put: promoting a “cheaper, faster, smarter” approach. Augmented intelligence – the fusion of human and artificial intelligence, is fast become a strategic capability that is a practical necessity to move organisations beyond digital, automation and analytics.
It seems reasonable to assume augmented intelligence can play a significant role in this journey post digital, but what outcomes can it deliver? And can you make a business case for its use?
Dr. Stylianos Kampakis, Expert Data Scientist, CEO, The Tesseract Academy
A large part of the history of computer science is around automation. Computers were initially used for simple repetitive number crunching. As science advances we move on to the
automation of more complex tasks.
Machine learning has managed to automate tasks such as labelling of images and audio, and is now moving on to more complex endeavours such as autonomous vehicles.
However, machine learning remains a complex subject. The next stage in the evolution of ML is improving accessibility. AutoML and augmented analytics play a key role in this trend.
Jim Howard, Independent Product Development and Management Consultant
Many companies buy in data from external suppliers to augment or supplement products that they own.
The details of what organisations can do with the data they buy, how it links with their content and how the data can help enhance internal and external facing products, are often overlooked.
Maximising the value of assets and contracts is a key part of any transformation programme and we will go over some examples of where use of data has been pushed beyond its initial intention to help with the wider enterprise.
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