Background

The emergence of Data Science is considered to be a great advance in the domain of modelling. The abundance and the explosive growth of recorded data in recent years has added a new dimension to the established paradigms of theoretical, empirical and computational modelling; these are now augmented by data driven modelling. Data Science encompasses the established domains of data warehousing, data mining, cluster analysis, pattern classification, machine learning and data visualisation. The application of Machine Learning in general and Deep Learning in particular, to very large data sets, has led to ground-breaking progress in recognising patterns of sounds, images, & data.

The human brain finds it difficult to make sense out of very large volumes (peta bytes) of unstructured data. Yet Deep Learning can discover hidden ‘connections and patterns’. Humans are not able to model these ‘connections and patterns’ because their cognition power limits them in making sense of these very large data sets and their inherent complexities.

This event brings together experts from industry and academe to explore and discuss the major advances and applications of these technologies.
Come along and open up to the new era of AI, Machine Learning and Deep Learning and find out how this can help you and your organisation in an increasingly ‘data-driven world’.

In addition to the conference, there are four pre- and post-conference workshops:
a. In depth overview of [Deep Learning / Machine Learning and Ensemble Learning; how they relate to each other]
b. Hands on workshop on Tensorflow
c. AI in Robotics (including IOT)
d. AI in Multimedia – capturing sound, data and image

Who should attend

  • Academic Researchers
  • Big Data Analytics Experts
  • Business Analysts
  • Chief Digital Officers
  • Chief Information Officers
  • Chief Marketing Officers
  • Chief Technical Officers
  • Data Architects
  • Data Engineers
  • Data Scientists
  • Developers
  • Development Managers
  • Director of Engineering
  • Enterprise Architects
  • Entrepreneurs
  • Heads of Data and Analytics
  • Machine Learning Scientists
  • Venture Capitalists
  • VPs and Executives within Marketing | Development | Engineering | Technology | Sales

Call for Participation

We are looking for Use Case Presentations on AI, Machine Learning and Deep Learning, particularly in the industry sectors of

  1. Retail
  2. Pharmaceuticals
  3. Health
  4. IOT
  5. Communications
  6. Energy

and others. If you wish to submit a proposal to present at this event please fill in the speaker’s response form.

Programme

  • -

    Keynote: Foundations of Deep Learning, illustrated with use cases [provisional title]

    Bianca Furtuna, Data Scientist at Elastacloud

    Speakers:

    Bianca Furtuna

  • -

    Generating Real Business Impact with AI

    Josh Sutton, Data & Artificial Intelligence Global Head at Publicis.Sapient

    Speakers:

    Josh Sutton

  • -

    Comparing Notebooks for Data Science

    Karlijn Willems, Data Science Journalist at Datacamp

    Data science requires more than traditional Integrated Development Environments (IDEs) can offer: the need to create and share data stories. That's why data scientists often resort to notebooks. In her talk, Karlijn Willems will guide you through the landscape of data science notebooks, from Jupyter to Beaker to R Markdown to Zeppelin and more, providing a comparison between the different notebooks that are out there for data science enthusiasts!

    Speakers:

    Karlijn Willems

  • -

    Artificial Intelligence and Machine Vision: The next frontier for process efficiency and integrity

    Bogdan Ciubotaru, CTO, Everseen Ltd

    ♦ Process efficiency and integrity represent two main factors impacting many sectors including retail, manufacturing and transportation
    ♦ Vision has always been a critical information source, however it is mainly specific to human observers and hence difficult to use effectively
    ♦ Machine vision and artificial intelligence open the door for a wide range of applications including efficient process management
    ♦ The positive impact on various businesses and industries has already been proven with great growth envisioned for the future

    Speakers:

    Bogdan Ciubotaru

  • -

    Title to be announced

    Alistair Ferag, Data Scientist, Satalia (TBC)

    Speakers:

    Alistair Ferag

  • -

    Title to be announced

    Jochen Leidner, Director, Research, Thomson Reuters

    Speakers:

    Jochen Leidner

  • -

    Title to be announced

    Gert De Geyter, Senior Consultant Data Analytics at Deloitte Belgium

    Speakers:

    Gert De Geyter

Speakers

Bogdan Ciubotaru

CTO, Everseen Ltd

Alistair Ferag

Data Scientist, Satalia (TBC)

Bianca Furtuna

Elastacloud

Gert De Geyter

Senior Consultant Data Analytics at Deloitte Belgium

Jochen Leidner

Director, Research, Thomson Reuters

Josh Sutton

Data & Artificial Intelligence Global Head at Publicis.Sapient

Karlijn Willems

Data Science Journalist at Datacamp

Media Partner

Previous Programme

Tickets

4 people attend for the price of 3

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End Users

  • Super Early Bird until 8 September - £195 + VAT
  • Early Bird until 6 October - £295 + VAT
  • Standard Rate - £395 + VAT
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Vendors and Solution Providers

  • Super Early Bird until 8 September - £425 + VAT
  • Early Bird until 6 October - £500 + VAT
  • Standard Rate - £575 + VAT
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Venue

  • HILTON LONDON KENSINGTON
    179-199 HOLLAND PARK AVENUE, LONDON, W11 4UL, UNITED KINGDOM
  • +44 (0)1895 256 484
  • info@unicom.co.uk

Contact Us

  • UNICOM R&D House | One Oxford Road | Uxbridge | UB9 4DA
  • +44 (0) 1895 256 484
  • info@unicom.co.uk
Super Early Bird End Date