Making AI Business-Smart: Turning understanding into action

The promise of AI / ML and the impacts they will have on our Software Testing industry are enticing. Along with maturing your CI/CI Pipelines with either AI or more integrated automation. What’s particularly exciting is how AI technology will enhance, not replace, the roles of QA professionals. And that Continuous Integration Automation is becoming more common place within most automation efforts.

In artificial intelligence (AI), increasingly complex algorithms, larger datasets, and process-intensive workloads lend to an insatiable demand for compute, memory, and storage, as well as higher-bandwidth, lower-latency communication between these components. Conversational AI, recommender systems, and computer vision are becoming increasingly prevalent, with new system architectures being explored to enable AI models with hundreds of trillions of parameters, and power supercomputers beyond exascale. These advances are bringing new challenges as the physical limitations of standard electrical interconnects are nearing the point of diminishing returns. Performance and efficiency losses from memory capacity limitations, network bottlenecks and stranded resources are being amplified at scale, creating a need for new system architectures to handle ever-growing, performance-intensive workloads.

The volume, complexity, and pace of all the critical elements of business are undeniably increasing. The question is not whether or not commerce will undergo a dramatic transformation in the coming years, but what - precisely - that transformation will look like, what new opportunities it will present, and - most importantly - w

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.