Data Architecture Summit 2019

October 14-17, 2019 | USA

The Data Architecture Summit will cover the most important issues and technologies enabling the design and management of modern Data and Analytics Architectures

Spotlight

Data analytics are used to test controls and validate that business risks are managed. This would generally occur at a point-in-time when an assurance activity is scheduled. Rather than test a number of transactions, the entire population of transactions can be reviewed for greater coverage. Data analytics includes automated tools such as generalised audit software, test data generators, computerised audit programs, specialised audit utilities and computer-assisted audit techniques (CAATs).


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Big Data & AI World 2023

March 8-9, 2023 | UK

Be at the forefront of change with thousands of technologists, data specialists, and AI pioneers. Don't miss the biggest opportunities to advance your business into the future.

Machine Learning Prague 2023

June 2-4, 2023 | Czech Republic

You can look forward to an excellent lineup of 40 international experts in ML and AI business and academic applications at ML Prague 2023. They will present advanced practical talks, hands-on workshops and other forms of interactive content to you.

TDWI Virtual Summit Modern Cloud Data Platforms

April 12-13, 2023 | USA

TDWI’s complimentary Virtual Summit this April positions data leaders to maximize the business value of their cloud data platforms. At the April Virtual Summit, our speakers will bring you up to speed on maximizing the business value of your cloud data management investments. TDWI research will expose trends and opportunities based on our latest quantitative research, with expert analysis and recommended best practices. Expert speakers will show you how to translate these trends into valuable initiatives in your own business, and our case study speakers will share the details of their own journeys.

Detecting Fraud With Data Analytics Workshop

February 14-16, 2023 | USA

According to the ACFE's Occupational Fraud 2022: A Report to the Nations, proactive data monitoring and analysis is among the most effective anti-fraud controls. Organizations that undertake proactive data analysis techniques experience frauds that are 47% less costly and detect frauds 2.25 times as quickly as organizations that do not monitor and analyze data for signs of fraud.

Spotlight

Data analytics are used to test controls and validate that business risks are managed. This would generally occur at a point-in-time when an assurance activity is scheduled. Rather than test a number of transactions, the entire population of transactions can be reviewed for greater coverage. Data analytics includes automated tools such as generalised audit software, test data generators, computerised audit programs, specialised audit utilities and computer-assisted audit techniques (CAATs).

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