2nd Global Predictive Analytics Forum | Corporate Parity Summits and Conferences

8th – 9th of February 2018
Amsterdam, Netherlands

SPEAKERS

PANEL DISCUSSIONS

TOPICS TO BE DISCUSSED

ABOUT THE FORUM

We are collecting more data than ever today. Consumers are constantly generating data from various interactions. Big data is a collection of data from traditional and digital sources inside and outside your company that represent a source of ongoing discovery and analysis. It has been described in a variety of different ways since the term was coined, so it is no wonder that many are confused and intimidated.
However, exactly how to use all of this information in a way to benefit your business has become a major issue. How can you identify such issues and make wiser decisions going forward?

Research shows the predictive analytics market will reach $5.2 to $6.5 billion by 2018/2019; they are calling it the game changer as it has helped reinvent 6 industries (Healthcare, Manufacturing. Marketing & Financial Services, Government, Credit Risk Insurance and Workforce Management). This is why so many organisations are turning to predictive analytics to increase their bottom line and competitive advantage.

Corporate Parity presents the Global Predictive Analytics Forum 2018, that will provide attendees with the opportunity for learning through case study presentations, interactive panel discussions and multiple networking opportunities. During these 2 days, event analytics pioneers will share their ideas on how to shape the future of your organisation through effective data analysis. Register today and secure your place at this top-tier event.

 

KEYNOTE SPEAKERS

KEY TOPICS

Predictive Analytics: What It Is And Why It Matters?

  • Role of predictive analytics in modern business strategies
  • Data analytics techniques
  • Applying predictive analytics to your business: where to look?
  • Practical real-world use-cases from across the globe

Understanding The Social Context Of Customers

  • How should analytics be applied to infer the social context of customers?
  • How does this work in practice for a CRM and targeted marketing programme?
  • What are the practice and ethical issues that this raises?

Enhancing Lean Six-Sigma Using Advanced Predictive Analytics

  • Lean Six-sigma framework
  • Applying Lean Six Sigma in the IIoT age & challenges
  • 3 steps approach : correlate data source, perform advanced analytics, derive and implement measures
  • Benefits: What you can expect?

 

Digital Customer Care - Cognitive Analytics

  • Azure Machine Learning
  • Cognitive Intelligence & Analytics
  • Call Centre Analytics

Machine Learning: Past, Present, And Future

  • Model capacity (aka expressiveness)
  • Model interpretability (aka understandability)
  • The enablers:
  • Algorithmic improvements for learning
  • Hardware speedups
  • Data: the new currency
  • Growth in semi-supervised and Bayesian techniques
  • Reinforcement learning
  • Differential Privacy

 

Machine Learning And Insurance

  • Agnostic learning vs. prior knowledge
  • Performance prediction
  • Fast scoring in a large database

MEDIA PARTNERS

7wdata
BDAN
clocatepmen
malaysia
malaysia
10times
bigdataspace
CMS_wirepmen
mindpmena
apsm
chiefit
dofthings
sfotwaredevjournal
australiansecu
chiefit_privatebanking
kdnug
Telco

FIND OUT MORE

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PHOTOS

THE VENUE

Of the forum

Oosterdoksstraat 4, 1011 DK Amsterdam, Netherlands
+31 20 530 0800

DoubleTree by Hilton Amsterdam Centraal Station

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