TDWI San Diego Conference

August 18-23, 2019 | USA

As data continues to enable faster and more accurate business decisions, the demand for deeper insights only grows stronger. Across the data ecosystem, from engineering modern data architectures to effectively communicating analytics insights, the breadth and depth of today’s data challenges can be daunting. Let TDWI San Diego be your competitive advantage. With training on the most important big data and analytics challenges including modern data warehousing, cloud, self-service, data science, and more learn the top skills from TDWI’s renowned faculty and industry experts and leave TDWI San Diego with the skill set you need to tackle your data challenges head on and deliver the value your business needs to succeed.

Spotlight

In the coming years, analytics will offer an enormous opportunity to generate economic and social value from data. But much of the success of data analytics will depend on the ability to ensure that individuals’ privacy is respected. One of the most effective ways in which to do this is through strong “de-identification” of the data — in essence, storing and sharing the data without revealing the identity of the individuals involved. A number of researchers have been investigating techniques to re-identify deidentified datasets. Unfortunately, some commentators have misconstrued their findings to suggest that de-identification is ineffective. Contrary to what misleading headlines and pronouncements in the media almost regularly suggest, datasets containing personal information may be de-identified in a manner that minimizes the risk of re-identification, often while maintaining a high level of data quality…


OTHER PAST CONFERENCES

International Conference on Data Applications and Management

November 29-December 1, 2021 | UK

This conference reviews and discusses, the recent trends, opportunities, and pitfalls of data management and how it has impacted organizations to create successful business and technology strategies and remain updated in data technology.

Leading with Big Data and Analytics: From Insight to Action

December 13-16, 2021 | USA

Leveraging big data, business analytics and artificial intelligence (AI) to deliver solutions to complex challenges is not solely the responsibility of technology and data science specialists. Rather, it’s the responsibility of organizational leadership to understand and direct these approaches to achieve their business goals. This program is designed to help senior leaders effectively manage and seize opportunities in the new environment of advanced analytics. Participants will gain a working knowledge of data science, which will enable leaders to identify the challenges that analytics, machine learning, and artificial intelligence can solve. It will also help them make the most effective investments in people, data, systems, culture and organizational structure. Led by world-class Kellogg faculty and former C-Suite practitioners experienced in working with senior executives and organizations who have successfully scaled analytics in their organizations, this cutting-edge program delivers sophisticated material in an accessible, easy-to-understand format that is immediately applicable to real-world practice.

2022 Data Analytics Summit

March 30, 2022 | USA

The Data Analytics Summit brings together hundreds of professionals to engage in topics related to data analytics. Attendees represent the Commonwealth of Pennsylvania, as well as representatives from federal and local governments. Attendees also represent private and non-profit organizations. Attendee demographics are a mix between practitioners, front-line staff, and executive management.

Next Generation Data Centers 2021

November 30-December 1, 2021 | USA

The data center market is currently experiencing significant growth, and is forecast to be worth 59 billion by the year 2025. But while the market is growing, it is also undergoing a structural shift. Technology such as 5G, and the increasing demand for faster connectivity, will mean that in house data centers increasingly give way a hybrid model that blends the best attributes of in-house, colocation and edge computing for enhanced processing power.

Spotlight

In the coming years, analytics will offer an enormous opportunity to generate economic and social value from data. But much of the success of data analytics will depend on the ability to ensure that individuals’ privacy is respected. One of the most effective ways in which to do this is through strong “de-identification” of the data — in essence, storing and sharing the data without revealing the identity of the individuals involved. A number of researchers have been investigating techniques to re-identify deidentified datasets. Unfortunately, some commentators have misconstrued their findings to suggest that de-identification is ineffective. Contrary to what misleading headlines and pronouncements in the media almost regularly suggest, datasets containing personal information may be de-identified in a manner that minimizes the risk of re-identification, often while maintaining a high level of data quality…

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