Discover the strategies that convert data into insights and action. Acclaimed data analytics leaders will unearth the secrets of their success in each episode. Subscribe below to stay abreast of the best practices, trends, and technologies driving our fast-paced industry! For transcript articles of the podcasts visit https://www.eckerson.com/podcasts/secrets-of-data-analytics-leaders
Simon Crosby: Continuous Intelligence with Machine Learning, Digital Twin and Knowledge Graphs
Continuous Intelligence (CI) integrates historical and real-time analytics to automatically monitor and update various types of systems, including supply chains, telecommunications networks and e-commerce sites. CI encompasses data ingestion, transformation and analytics, as well as operational “triggers” that recommend or initiate specific real-time actions.
CI casts a wider net than traditional analytics because it includes contextual data, for example related to market behavior, weather patterns or social media trends, that help enterprises operate the core systems more intelligently.
In this episode, our VP of Research Kevin Petrie interviews Simon Crosby, CTO at Swim.ai, a continuous intelligence software vendor that focuses on edge-based learning for fast-data. He co-founded security vendor Bromium in 2010, later sold to HP Inc in 2019.
Looking at the Future through Analytics: Predictive vs. Prognostic by Dave Wells
This blog compares Predictive vs Prognostic analytics and gives a quick view into systems dynamics and causal modeling. If it sparks your interest, watch for an upcoming series of articles connecting the practices of systems thinking, causal analysis, and analytics.
Originally published at: https://www.eckerson.com/articles/looking-at-the-future-through-analytics-predictive-vs-prognostic
Continuous Intelligence: the Nexus of Data Integration, Analytics and Operations by Kevin Petrie
This blog is about Continuous Intelligence (CI) and how it integrates historical and real-time analytics to operate, monitor and tune systems of all types. Our next blogs will explore architectural approaches to CI, and how to navigate the trade offs it introduces to your organization.
Originally published at: https://www.eckerson.com/articles/continuous-intelligence-the-nexus-of-data-integration-analytics-and-operations
GPU Databases: Getting more Value from your Machine Learning Infrastructure by Oliver Vagner
This blog is about Graphics Processing Units (GPU) and how much of the focus and industry growth in the use of GPUs has come from their suitability for machine learning, especially neural networks, more commonly known as deep learning.
Originally published at: https://www.eckerson.com/articles/gpu-databases-getting-more-value-from-your-machine-learning-infrastructure
Using Data Knowledge to Conquer Data Sprawl by Dave Wells
This blog is about the challenge of data sprawl and how the combination of AI-based entity matching, schema matching, and enhanced knowledge graphing is moving us ever closer to the vision of self-driving data.
Originally published at: https://www.eckerson.com/articles/using-data-knowledge-to-conquer-data-sprawl
COVID-19 and Higher Education: A Case Study in Data Modernization by Kevin Petrie
This EG blog is about data modernization steps and guiding principles that can help maintain balance within schools, stores, and other face to face businesses affected by COVID-19.
Originally published at: https://www.eckerson.com/articles/covid-19-and-higher-education-a-case-study-in-data-modernization
Really good insights!!
Very high level of expertise!!