Webinar17-19 May 2023, Amsterdam, The Netherlands

In 2020 almost every company around the globe got pushed towards digitalization. Companies have to transform their businesses to adopt to the new reality we face. These days everything happens online. We generate even more data and it gives us more opportunities, as well as challenges.

Being self-isolated does not mean to stop networking. GIA Global Group worked closely with experts to prepare this webinar where we put together the key issues companies might struggle at the moment.

Join us on April 29th to learn how can data help us now.

29 April 2020

at 17:00 CEST

Webinar length

1.5 hours

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Webinar

Topics To Be Discussed​

How can data help us now?

Recent Advancement of AI and New Applications

Real-time data and analytics in Healthcare

Driving business strategies in dynamic times

Webinar Speakers​

Matz Lukmani

Matz Lukmani

Industry Manager, eGaming (UK Performance Markets)

Google, United Kingdom

Martin-Treder

Martin Treder

Data Consultant

ReturnOnData.biz, Germany

Eychaner_Brandon

Brandon Eychaner

Lead Scientist & Senior Consultant

Deloitte CE, Czech Republic

Igor-Rudychev

Igor Rudychev

Head of US Digital, Data, and Innovations

AstraZeneca, United States

Dennis Meng

Dennis Meng

Lead Data Scientist

Kernel Labs

Exclusive Partner

Association of Data Scientists

Association of Data Scientists is the premier global professional body of data science & machine learning professionals

Register for Free

Matz Lukmani​

Industry Manager, eGaming (UK Performance Markets)

Matz Lukmani is based in London (UK) has been with google for +5 years working on products like Google Analytics 360, AdWords, Attribution 360 and Firebase Analytics. He currently leads Attribution offerings within Google Ads, Search Ads 360 and Google Attribution in EMEA.

He has worked over 9 years in USA at various Analytics leadership roles at SAP, Bristol-Myers Squibb, Toys R Us, MediaCom, Triad Retail Media and PwC to name a few. He offers analytics consulting services in the field of web-analytics, predictive analytics and advanced text mining across a wide group of industries.

Driving business strategies in dynamic times

Brandon Eychaner — Moderator

Brandon is a Senior Consultant and Lead Scientist at Deloitte, Central Europe in the Analytics and Information Management practice. He has presented on the use of AI in Healthcare to the Czech Ministry of Health, and develops business solutions involving the analysis of linguistic or otherwise unstructured data. He also directs the Prague LGBT non-profit Queer Praguer, and serves as Datasets manager and NLP lead for CoronaWhy, a non-profit that processes unstructured scientific literature relevant to the COVID-19 epidemic.

Igor Rudychev

Igor has 25 years of experience in AI/ML, real time data and analytics and 20 years of experience in healthcare real time data and analytics. He is Head of Digital, Data, and Innovations with Astrazeneca, and was leading global advance analytics team at Pfizer. Prior to Pfizer, Igor was a VP or data & analytics with Bayser, Chicago based management consulting firm supporting multiple Global 500 companies. He has PhD in Applied Math/Theoretical Physics from Texas A&M University and MBA in analytical finance and marketing strategy from University of Chicago Booth School of Business. Igor is publishing and presenting at major digital, data, and analytics journals, congresses, and conferences.

Real-time data and analytics in Healthcare

Martin Treder

Martin is a studied Mathematician and hands-on Data Executive with 25 years of experience in international corporations. During the past decade, Martin established and led the international Data Management organisations of DHL Express, TNT Express and FedEx Express, covering the areas of Data Governance, Masterdata Management, Data Modelling, Data Quality, Data Science and Data Analytics. His focus is on bridging the gap between technology and business.

How can data help us now?

Dennis Meng

Dennis Meng heads the data science effort at the Kernel Labs. He has worked with industry labs at Microsoft, IBM Research and MERL. He holds a Master degree in Applied Mathematics and a PhD in optimization and machine learning from the University of Washington.

Recent Advancement of AI and New Applications