Securing the Convergence of HPC and AI in the Enterprise

Securing the Convergence of HPC and AI in the Enterprise
High-performance computing (HPC) has long expanded from research labs to commercial use. Computational modeling and simulation along with high-performance data analytics using HPC systems are prevalent in industries from the design and manufacturing of aircrafts to consumer goods, life sciences, energy, and financial services.

The emergence of artificial intelligence (AI) and its symbiotic relationship with HPC has augmented traditional methods for modeling and analysis. HPC plus AI is HPC workloads using AI and AI workloads using HPC. It leverages the significant technological advancements in GPUs, ML frameworks, neural network architectures, networking, and storage protocols and solutions. This confluence is merging in the enterprise data center requiring adherence to standards around management and security.
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Continuous Integration Using Microsoft Tools Right before Your Eyes

Gallop

Development teams worldwide are adopting “agile” methodologies to manage change and to improve software quality. These methodologies promote continuous integration as a practice to build and test software products incrementally as new features are included, bugs are fixed, and code is refactored with much reduced build and release cycles.
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What 2019 Holds for Healthcare in the Cloud with NetApp and Microsoft Azure

NetApp

NetApp and Microsoft have been working together for more than two decades to provide innovative solutions that make it simpler for healthcare customers to rapidly transform their technology operations. Microsoft and NetApp recognize healthcare organizations are considering large-scale migrations to the cloud to drive agility, improve developer productivity, and leverage CapEx improvements.
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3 Trends for Modernizing Analytics and Data Warehousing in 2019

Arcadia Data

Brand new research published from Dresner Advisory Services digs deeply into the trends in 2018 around big data analytics. Where are organizations heading in 2019? How are analytic and data warehouse architectures evolving to enable faster and deeper self-service analytics and BI for organizations looking to create a competitive edge? How is public, private and hybrid clouds factoring into deployment decisions? What are the hottest open source projects from Apache Spark to Kudu, Kafka, Hadoop, and beyond? Join industry leaders from Dresner Advisory Services, Arcadia Data, and Cloudera as they preview findings from the upcoming 2018 Big Data Analytics research report of over 750 survey respondents in the data and analytics industry.
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Current and Future State of AI and Machine Learning

AI Trends

AI – and machine learning in partcular – are set to have transformative effects on the way we work, learn and interact with others. In fact, in a recent 451 Research survey of enterprise tech decision makers, 97% of respondents believe AI will have between a slight and significant impact on society in the next two years, with 71% believing it to have a significant or moderate impact. But where will the impact be felt? Will the overall impact be positive? In this webinar, Research Vice President Nick Patience of 451 Research will discuss the use cases, business benefits and barriers to adoption being felt by enterprises around the world, based on his most recent survey.
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