The annual Data Summit conference went digital earlier this year, becoming Data Summit Connect. The online event in June featured live presentations by executives from leading IT organizations who engaged attendees with compelling presentations and spirited discussions on a variety of topics including data analytics and privacy, knowledge graphs, and AI and machine learning. The following are key points distilled from the 3-day webinar series.
Posted August 11, 2020
Key Takeaways about Data and Analytics from Data Summit 2019
Posted July 25, 2019
The past year brought many data breaches and incidents of PII mishandling. With confidential information being compromised routinely, data privacy regulations are also on the rise. Here, top IT executives reflect on the current data security landscape and what we can expect in 2019.
Posted December 20, 2018
In 2018, there was heightened awareness of AI and machine learning and, in 2019, the emphasis is expected to increase on cognitive computing technologies that can analyze data in ways previously unimaginable and act independently or with limited human intervention. Here, executives of leading IT companies offer 9 predictions for what's ahead in 2019.
Posted December 13, 2018
12 Key Takeaways about Data and Analytics from Data Summit 2018
Posted June 04, 2018
Artificial intelligence has been described both as a radical force for good and an enabler of evil whose risks are not yet fully understood. But is it just a lot of hype or a transformative technology poised to impact our future? Here, seven IT execs weigh in on the AI debate and offer their predictions for the changes we may see in 2018.
Posted December 15, 2017
Data Governance and Security Tips from Data Summit 2017
Posted May 24, 2017
The Enterprise Impact of Streaming Data and IoT
Posted May 24, 2017
It has become all too clear that no organization is immune from the risk of a data breach, and that anyone accessing data can pose a threat - including trusted employees and partners. Here, IT executives speculate on the impact newer technologies such as IoT, blockchain, and cloud, as well as the need for data protection, including disaster recovery plans, encryption, and comprehensive oversight.
Posted December 07, 2016
What's ahead for 2017 in terms of big data and IoT? IT executives reflect on the impact that Spark, blockchain, data lakes, cognitive computing,AI and machine learning, and other cutting-edge approaches may have on data management and analytics over the year ahead.
Posted November 30, 2016
Success with Big Data: Key Observations from Data Summit 2016 Presentations
Posted June 17, 2016
Gaining More Value from Big Data - 6 Key Takeaways from Data Summit 2016
Posted June 08, 2016
It is hard to think of a technology that is more identified with the rise of big data than Hadoop. Since its creation, the framework for distributed processing of massive datasets on commodity hardware has had a transformative effect on the way data is collected, managed, and analyzed - and also grown well beyond its initial scope through a related ecosystem of open source projects. With 2016 recognized as the 10-year anniversary for Hadoop, Big Data Quarterly chose this time to ask technologists, consultants, and researchers to reflect on what has been achieved in the last decade, and what's ahead on the horizon.
Posted February 18, 2016
The 10 Best Big Data Articles of 2015
Posted December 02, 2015