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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

To make the data scientists maximally productive, we want to provide supporting software architecture in terms of APIs and libraries that allow them to focus on data, not on the machines. Data Science Layers. However, none of these layers help with modeling and optimization.

IT 364
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BRIDGEi2i To Present Keynote on Value Paradigm at CYPHER 2019

bridgei2i

Being held from 18th to 22nd September, CYPHER will feature insightful presentations from influencers and industry leaders. Venkat Subramaniam, BRIDGEi2i’s VP, Marketing, will present the keynote address on “AI for Enterprises-The Value Paradigm.”. Awards & Recognition News & Updates. www.BRIDGEi2i.com. www.BRIDGEi2i.com.

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How to Design Better Dashboards: a Visual Guide

Sisense

This chart presents a lot of information, but none of it goes together to answer any important questions. The numbers presented follow an easy-to-understand progression, there’s contextual data to help the reader understand them, and users can drill down further to answer questions as they arise. Who is this for?

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If Curiosity Cabinets Were Knowledge Graphs

Ontotext

Such a confused mixture of objects and artifacts could hardly satiate knowledge, let alone our need to collect, classify and make sense of the past and the present. As more and more collections are interlinked and presented as datasets, we can see a much richer and holistic picture and make better sense of this area of human interest.

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Webinar On Demand: Eradicate Security Silos While Simplifying XDR & Zero Trust Adoption

CDW Research Hub

In a world where hybrid and remote work is becoming the norm, securing valuable assets from inside and outside the traditional network perimeter presents a complex challenge: visibility across the expanding enterprise network. What if you could remove security data silos across the network to achieve full visibility from endpoint to cloud?

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Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

Allow me to visualize the problem above, and leverage that visualization to present the solution. In order to make smart decisions about the data you need four things. Hence your CXOs should definitely not get a data puke like the one above. The data presented in tables or charts will be segmented.

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The Enterprise AI Revolution Starts with BI

Jet Global

Thankfully, with widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. But the vast reams of data generated daily are presenting a new problem for businesses—what data matters? How should data be tagged, sorted, grouped, and analyzed?