The Importance of Utilizing Unstructured Data with Kirk Marple - Ep. 35 episode artwork

EPISODE · May 15, 2022 · 54 MIN

The Importance of Utilizing Unstructured Data with Kirk Marple - Ep. 35

from The Analytic Mind · host Enterprise DNA

Data are not all created equal. There are structured (machine-generated) and unstructured (human-generated) data, and each requires a different approach. As a result of the increased use of digital applications and services, unstructured information is growing rapidly. It is estimated that 80-90% of company data is unstructured, and the amount of unstructured data continues to grow at an alarming rate per year. In this episode of The Analytic Mind Podcast, Sam McKay speaks with Kirk Marple, the founder, and CEO of Unstruk Data. Hear about the hidden value in unstructured data and how it impacts the future of data and analytics. Kirk Marple is a Customer-focused Technology leader with extensive expertise with cloud-based microservices, scalable multimedia data ingestion, knowledge graphs (entity extraction/enrichment), machine learning and computer vision integration, and CPU/GPU-based file and data processing workflows. He is highly skilled at architecting and managing teams developing APIs and scalable services, leveraging on-premise and cloud infrastructure, generating significant cost savings, and supporting revenue growth for startups through Fortune 25 companies. Unstruk Data, is a company that is building the industry’s leading Unstructured Data Warehouse for automating data preparation via metadata enrichment, integrated compute, and graph-based search. Unstructured data can include anything from audio to visual data, and Kirk explains that analytics can be done on geospatial and temporal unstructured data. Then by using machine learning and artificial intelligence, it is possible to generate knowledge graphs based on this data. For full show notes, and the links mentioned visit: https://www.enterprisedna.co/podcast/utilizing-unstructured-data/ Be our guest, register here: https://www.enterprisedna.co/be-our-podcast-guest/

Data are not all created equal. There are structured (machine-generated) and unstructured (human-generated) data, and each requires a different approach. As a result of the increased use of digital applications and services, unstructured information is growing rapidly. It is estimated that 80-90% of company data is unstructured, and the amount of unstructured data continues to grow at an alarming rate per year. In this episode of The Analytic Mind Podcast, Sam McKay speaks with Kirk Marple, the founder, and CEO of Unstruk Data. Hear about the hidden value in unstructured data and how it impacts the future of data and analytics. Kirk Marple is a Customer-focused Technology leader with extensive expertise with cloud-based microservices, scalable multimedia data ingestion, knowledge graphs (entity extraction/enrichment), machine learning and computer vision integration, and CPU/GPU-based file and data processing workflows. He is highly skilled at architecting and managing teams developing APIs and scalable services, leveraging on-premise and cloud infrastructure, generating significant cost savings, and supporting revenue growth for startups through Fortune 25 companies. Unstruk Data, is a company that is building the industry’s leading Unstructured Data Warehouse for automating data preparation via metadata enrichment, integrated compute, and graph-based search. Unstructured data can include anything from audio to visual data, and Kirk explains that analytics can be done on geospatial and temporal unstructured data. Then by using machine learning and artificial intelligence, it is possible to generate knowledge graphs based on this data. For full show notes, and the links mentioned visit: https://www.enterprisedna.co/podcast/utilizing-unstructured-data/ Be our guest, register here: https://www.enterprisedna.co/be-our-podcast-guest/

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The Importance of Utilizing Unstructured Data with Kirk Marple - Ep. 35

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Data are not all created equal. There are structured (machine-generated) and unstructured (human-generated) data, and each requires a different approach. As a result of the increased use of digital applications and services, unstructured information...

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