Internet-of-Things supports machines, computers and users to enable intelligent operations using advanced device management and data analytics. Growing massive volumes of data captured by IoT sensors …

Voiced-based AI continues to gain popularity among customers, businesses, and brands, but its important to understand that, while it presents a slew of new data at our disposal, the technology is still in its infancy. Andreas Kaltenbrunner examines three ways voice assistants will make big data analytics more complex and the various steps you can take to manage this in your company.

Join Thomas Phelan to learn whether the combination of containers with large-scale distributed data analytics and machine learning applications is like combining oil and water or like peanut butter and chocolate.

In many countries, policy decisions are disconnected from data, and very few avenues exist to understand deeper demographic and socioeconomic insights. Ganes Kesari and Soumya Ranjan explain how satellite imagery can be a powerful aid when viewed through the lens of deep learning. When combined with conventional data, it can help answer important questions and show inconsistencies in survey data.

Jungwook Seo walks you through a data analytics platform in the cloud by the name of AccuInsight+ with eight data analytic services in the CloudZ (one of the biggest cloud service providers in Korea), which SK Holdings announced in January 2019.

Anant Chintamaneni and Matt Maccaux explore whether the combination of containers with large-scale distributed data analytics and machine learning applications is like combining oil and water or like peanut butter and chocolate.

Data analytics is the long-standing but constantly evolving science that companies leverage for insight, innovation, and competitive advantage. Jeremy Rader explores Intels end-to-end data pipeline software strategy designed and optimized for a modern and flexible data-centric infrastructure that allows for the easy deployment of unified advanced analytics and AI solutions at scale.

Ziya Ma walks you through Intels scalable data insights strategy and related big data analytics and AI technologies such as Analytics Zooan end-to-end analytics and AI pipeline for developing full solutions with Apache Spark on Intel Xeon and Intel Optane DC Persistent Memory at scale. She highlights customers use cases and collaboration with industry leaders throughout.

Jian Zhang, Chendi Xue, and Yuan Zhou explore the challenges of migrating big data analytics workloads to the public cloud (e.g., performance lost and missing features) and demonstrate how to use a new in-memory data accelerator leveraging persistent memory and RDMA NICs to resolve this issues and enable new opportunities for big data workloads on the cloud.

Seonmin Kim offers an introduction to activities that mitigate the risk of mobile payments through various data analytical skills, drawn from actual case studies of mobile frauds, along with tree-based machine learning, graph analytics, and statistical approaches.

This presentation will describe Gradiant's role in the VEO5G R&D project: provide data analytics for networking data in a 5G scenario.Gradiant researchers will share their experience working with the …

Nick Curcuru, VP, Data Analytics and Cyber Security, will discuss Mastercards commitment to AI and its recent investments and developments.

Modern data analysis requirements have fundamentally redefined what our expectations should be for data warehouses. Join Google BigQuery cocreator Jordan Tigani as he shares his vision for where he sees cloud-scale data analytics heading as well as what technology leaders should be considering as part of their data warehousing roadmap.

Jaipaul Agonus and Daniel Monteiro do Carmo Rosa detail big data analytics and visualization practices and tools used by FINRA to support machine learning and other surveillance activities that the Market Regulation Department conducts in the AWS cloud.

Yuan Zhou, Haodong Tang, and Jian Zhang offer an overview of Spark-PMOF and explain how it improves Spark analytics performance.

The Hadoop and FOSS revolution has reshaped the data analytics landscape. In the search for creating a cutting-edge data platform at ING, we are faced with challenging new requirements such as cloud-r …