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Observations about Legaltech 2020 from Attendees: eDiscovery Trends

eDiscovery Daily

CEDS, Discovery Counsel, eDiscovery CoCounsel, pllc. — Lilith Bat-Leah, CEDS, Director, Data Science, Fronteo. — Mike Quartararo, President, Association of Certified E-Discovery Specialists. “The — Mike Quartararo, President, Association of Certified E-Discovery Specialists.

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10 everyday machine learning use cases

IBM Big Data Hub

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

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Wednesday LTNY 2020 Sessions: eDiscovery Trends

eDiscovery Daily

In addition to that, yesterday and today, CloudNine is conducting its second annual NineForum Discovery Education Series where prominent and highly respected eDiscovery and litigation support experts will deliver 9 TED-style talks, 20 minutes each, covering important topics impacting the legal community. and Mary (as in Mary Mack!),

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12 steps to Data Intelligence: Part 2

Collibra

Countless variations: Different constituencies have diverse naming conventions; sizes and shapes of particular data sets vary throughout the enterprise. Cataloging starts with discovery — identifying and distinguishing between databases, reports, algorithms, APIs, topic and more. To summarize, first we built the shopping center.

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Legaltech 2020 Preview Edition: eDiscovery Trends

eDiscovery Daily

On Tuesday and Wednesday, February 4th and 5th, CloudNine will launch its new NineForum Discovery Education Series where prominent and highly respected eDiscovery and litigation support experts will deliver 9 TED-style talks, 20 minutes each, covering important topics impacting the legal community. and Mary (as in Mary Mack!),

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Top 6 Kubernetes use cases

IBM Big Data Hub

But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications. For instance, large retail e-commerce websites consist of many microservices. These typically include an order service, payment service, shipping service and customer service.

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