Agenda of the VIII edition Big Data & AI Congress

Ist Day – 18th of April 2018

Joint part of 8th Big Data & AI Congress and 2nd SecureTech Congress

Big Data, AI and Security
– trends on the market and effective use in business

  • Using AI in cybersecurity – what stage of development are we at and what trends are appearing during the building of intelligent security?
    • Machine Learning Algorithm – how to reduce the noise level/FP in SOC
    • The possibilities of the effective use of Machine Learning and Artificial Intelligence in creating modern automated security systems
  • Modern cognitive technology as an aid in the fight against cybercriminals – SIEM III generation efficiency and BIG DATA protection
  • A demanding consumer of the Z generation – how to use personalized data about the user and how to protect it?

9:00 - 9:30 Registration

9:30 - 9:45 Opening of the Conference

9:45 - 10:00 Speech by the Guest of Honour

10:00 - 10:30 Speech by the Special Guest

10:30 - 11:50 Debate

11:50 – 12:30 Networking break

Big Data & AI Congress

What is AI and Machine Learning? Secrets of mechanisms and tools

  • What is ML, AI and what is their operation based on? The riddle of neural networks
  • Changes, changes, changes – differences between the past and now
  • Does each of us have the opportunity to create our own tools?
  • Relationships between IoT, big data, ML, AI
  • Known and unknown limits of use
  • How not to die in a flood of data

12:30 – 12:45 Introduction

12:45 – 13:00 Use case

Voice interface – use in marketing

13:00 – 13:15 Use case

CRM Enrichment – how to use external data in practice to enrich CRM systems? Case study for a client from the financial sector.

13:15 – 14:00 Debate

Benefits of big data analysis and applying AI to the client’s eye

Panel composed of FireChats / use-cases

14:00 – 14:15 Use case

Roboadvising: Strategic areas of robotization in banking

14:15 – 14:30 Use case

Multichanneling – how to combine the digital and offline world by the navigation of customer’s purchase paths

14:30 – 14:45 Use case

IoT – the treasury of obtaining data

14:45 – 15:00 Use case

The use of big data and AI on the social network example

15:00 – 15:15 Use case

Right point, czyli badanie ile trzeba zobaczyć reklamy, aby była skuteczna

15:15 – 15:30 Use case

Data and machine learning integration in marketing

15:30 – 16:30 Lunch

IInd Day – 19th of April 2018

9:00 - 9:30 Registration

Formal and legal requirements of the GDPR and PSD2 directives in particular sectors – a practical approach

  • Obligations imposed by regulations in individual sectors
  • Profiling in the context of the GDPR
  • Impact on omnichannel, loyalty programs
  • The lack of implementing legal requirements - consequences
  • Uniformed control file

9:30 – 9:45 Introduction by public administration representative

9:45 – 10:30 Debate

Success thanks to investments in data analysis – Benefits from big data and AI for companies

Panel composed of FireChats / use cases

10:30 – 10:45 Use case

The use of big data and AI on the website example

10:45 – 11:00 Use case

The use of big data and AI on the mobile application example

11:00 – 11:15 Use case

Benefits of the cloud implementation

11:15 – 11:30 Use case

The use of big data and AI on the retail/e-commerce example

11:30 – 11:45 Use case

Customer credibility assessment based on predictive models

11:45 – 12:00 Use case

How to build an efficient and modern logistic center using big data

12:00 – 12:30 Networking break

Data protection in the cyber world

  • Use of databases for cyber protection
  • Identity management in the Internet age
  • Internet fraud - the problem of blocking pages
  • Consequences of data outflow

12:30 – 12:45 Use case

The role of PR in the case of data outflow

12:45 – 13:00 Use case

13:00 – 13:45 Debate

13:45 – 14:00 Presentation summarizing the block

The future of AI and Machine Learning

  • Impact of automation and robotics on the labour market and production
  • Review of new solutions
  • Competence gap "big data and AI market" - how to organize teams dealing with big data analytics? How to manage unique competences? What are the main limitations and bottlenecks?
  • AI ethics in the context of the development of autonomous agents, cars ...
  • Robots taxation, unconditional basic income

14:00 – 14:15 Introduction

Deep Learning – perspectives of learning through strengthening in various industries and creating innovations

14:15 – 14:30 Use case

The impact of new technologies on human resources management

14:30 – 14:45 Use case

The business value of VR and the future of technology

14:45 – 15:30 Debate

15:30 – 16:30 Lunch

The Organizer reserves the right to change the agenda.
Update date: 19.02.2018