Background

Analytics in general and Data Science in particular have seen a phenomenal growth in the last few years. With continuous advances in technology and the multifaceted use of the Internet and Social Media, organisations have access to massive volumes of internal and external data sets. In order to compete in a dynamic and evolving market the management analysts in these organisations have a requirement to “make sense” out of these large unstructured data.

This conference focuses on the areas of real-time analytics and predictive analytics and sets out to show how they are crucial for your business and how they can help you achieve your business goals.

Case studies and thought provoking presentations explore real-life experiences and provide valuable insights into the many opportunities presented by Predictive and Real-Time Analytics.

Why attend this event?

  • Beginners understand how Predictive and Real-time analytics can help your business. What are the options? How did other people exploit them? Also, take advantage of the discussion sessions and networking breaks to bring up your point of view, concerns and meet like-minded people.
  • Practitioners, Data Scientists and companies already familiar with Predictive and Real-time Analytics will find this is a unique opportunity to meet like-minded people and learn and share experience with subject-experts. As this topic area continues to evolve rapidly and incessantly it presents many challenges. 

Topics to be covered:

  • Innovations and business applications with Real-Time Analytics
  • Predictive Analytics: Scope and Business Applications
  • Unstructured/Structured Big Data
  • Tools and applications which exploit Data and Machine Learning
  • Culture and organisational changes triggered by Data Science
  • Real Life case studies

Programme

  • -
    mike-ferguson

    Accelerating Big Data Analytics - Essential and Emerging Technologies

    Mike Ferguson, Managing Director, Intelligent Business Strategies

    In addition to developing analytical applications on Spark and Hadoop, there are other options available to the data scientist that could significantly reduce time to value in Big Data environments. These include self-service data integration tools, real-time analytic application development tools, offline analytical workflow tools, model development tools that exploit Spark and/or Hadoop. This session looks at the increasing number of technologies available that allow you to exploit the scalability of Hadoop and Spark but that don’t require you to have to write programs.

    • Speeding up Data Science - why no programming is a valid option
    • Key requirements for tools if they are to improve productivity
    • Preparing data for analysis without programming using data wrangling tools
    • Model development tools that exploit Spark and in-Hadoop analytics
    • Building workflow based analytical applications without programming
    • Building Apache Storm analytic application without programming
    • Text analytics and the power of search
    • Interactive data discovery and data visualisation tools

    Speakers:
    mike-ferguson

    Mike Ferguson

  • -
    bmarr

    How To Use Big Data And AI To Drive Business Performance In Any Organisation

    Bernard Marr, Founder and CEO, Advanced Performance Institute

    • It’s easy to get caught up in the hype of big data - Huge datasets, fast-moving analytics…
    • How do you really identify the the most strategic big data applications in your business
    • Learn from exciting case studies including Facebook, Spotify, Wimbledon and Rolls Royce
    • See how machine learning and AI are transforming the future of big data

    Speakers:
    bmarr

    Bernard Marr

  • DATA SCIENCES: AFTERNOON SESSIONS -

  • -
    radek-maciaszek

    Streaming Real Time Bidding data with Spark

    Radek Maciaszek, CTO, A4G

    Real time bidding is a dominant way or purchasing volumes of online advertising inventory. What was yesterday a domain of high-frequency trading hedge funds became a norm in todays advertising world. I will talk about the fascinating world of RTB and will discuss the business cases as well as technological challenges advertising companies face today.

    Speakers:
    radek-maciaszek

    Radek Maciaszek

  • -
    ben-houghton

    Advanced Data Solutions in Multiple Business Contexts

    Ben Houghton, Data Scientist, Advanced Data Solutions (ADS), Barclays

    Data Science is fundamental in driving data-led decisions in a multitude of business areas. In this talk, we will discuss the breadth of opportunities for data science available in the finance sector and the methodologies we can employ to make smart decisions. We will also discuss how data science can be made accessible to everyone, not just data scientists.

    Speakers:
    ben-houghton

    Ben Houghton

  • -

    Panel Session

Speakers

mike-ferguson

Mike Ferguson

Intelligent Business Strategies

ben-houghton

Ben Houghton

Barclays

radek-maciaszek

Radek Maciaszek

CTO, A4G

bmarr

Bernard Marr

Advanced Performance Institute

Media Partners

datafloq
enterprise-management-logo

Tickets

4 people attend for the price of 3

  • Use the coupon code "DEC443" when booking.
  • Buy Ticket

End user organisations

  • Super Early Bird until 31 March - £125+VAT
  • Early Bird until 28 April - £195+VAT
  • Standard Price - £275+VAT
  • Buy Ticket

Vendors and consultants

  • Super Early Bird until 31 March - £550+VAT
  • Early Bird until 28 April - £650+VAT
  • Standard Price - £750+VAT
  • Buy Ticket

Event venue

  • 44 Grosvenor Square, Mayfair, London W1K 2HP, UK
  • +44 (0) 1895 256 484
  • info@unicom.co.uk