GPU Technology Conference 2019

March 23-26, 2020 | USA

I eagerly attended my 3rd GPU Technology Conference Deep Learning & AI Conference,in Silicon Valley, March 23-26 as a guest of host NVIDIA. GTC has become my favorite tech event of the year due to its highly focused topic areas that align well with my own; data science, machine learning, AI, and deep learning; plus the show has an academic feel that I appreciate. NVIDIA CEO Jensen Huang delivered another one of his patented marathon keynote address which unveiled the company’s vision for the upcoming year.

Spotlight

When responsible organizations identify new ways to process data, for example, when launching a new program, product, system or service, they utilize Privacy Impact Assessments (PIA) to conduct a systematic analysis to identify and address privacy issues. Current PIA practice includes detailed frameworks to help privacy professionals understand and quantify privacy risks.1 Yet accounting for risks is only part of a balanced value equation. Decision-makers must also assess, prioritize, and to the extent possible, quantify a project’s benefits in order to understand whether assuming the risk is ethical, fair, legitimate and cost-effective.


OTHER PAST CONFERENCES

The Future of Data Analytics

September 13, 2022 | USA

There is no doubt that Chief Data Officers (CDOs) have an extraordinary opportunity to utilize their organizations’ enterprise data assets, enable data-driven decision-making and implement digital transformation at scale — all of which are highly needed, especially in the post-pandemic period. In demand, CDOs are in a highly strategic, visionary role to unlock the power of their organizations’ data for AI-infused applications and long-term autonomous enterprise efforts. While the first generation of CDOs was mostly about defense-driven, risk-mitigating endeavors, with an emphasis on data governance, the next generation is about building an enterprise-wide data platform to bring business value out of data.

Big Data Minds

September 18-20, 2022 | Germany

The 10th Big Data Minds offers decision-makers from the DACH region a tailor-made platform to discuss strategy concepts in the context of Big Data & Data Analytics and to present successful projects. The leading big data event brings together more than 200 decision-makers and experts for data strategy & analytics to exchange strategies for the internal and external handling of large amounts of data and methods for their analysis and to find effective solutions to your challenges.

CXN Live: Customer Data, Insights & Analytics 2022

September 13-14, 2022 | USA

Given the seismic changes in customer behavior driven by the pandemic, historical data in effect became redundant overnight as businesses instead had to make sense of what was happening in real time. Those businesses with the most established customer data frameworks were therefore much better equipped to respond to these changes and deliver the experiences their customers needed in difficult circumstances.

Data Science for Business Conference and Exhibition

June 22-23, 2022 | Australia

This two-day event is being opened by the Hon Stephen Dawson, Minister for Emergency Services; Innovation and ICT; Medical Research; Volunteering. This exciting event will bring together up to 800 industry professionals and data science providers to explore how data science can be used to support the growth and innovation of WA businesses.

Spotlight

When responsible organizations identify new ways to process data, for example, when launching a new program, product, system or service, they utilize Privacy Impact Assessments (PIA) to conduct a systematic analysis to identify and address privacy issues. Current PIA practice includes detailed frameworks to help privacy professionals understand and quantify privacy risks.1 Yet accounting for risks is only part of a balanced value equation. Decision-makers must also assess, prioritize, and to the extent possible, quantify a project’s benefits in order to understand whether assuming the risk is ethical, fair, legitimate and cost-effective.

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