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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. It is also important to have a strong test and learn culture to encourage rapid experimentation. Incorporate these into subsequent releases.

Insurance 250
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Regeneron turns to IT to accelerate drug discovery

CIO Business Intelligence

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Data Lake 110
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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

So this month let’s explore these themes: 2018 represented a flashpoint for DG fails, prompting headlines worldwide and resulting in much-renewed interest in the field. More Policies Emerged” (2010-2018). Flashpoint” (2018) – GDPR went into effect, plus major data blunders happened seemingly everywhere.

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How foundation models and data stores unlock the business potential of generative AI

IBM Big Data Hub

A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. An open-source model, Google created BERT in 2018. models are trained on IBM’s curated, enterprise-focused data lake. Foundation models focused on enterprise value IBM’s watsonx.ai

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Customer Data Culture: The Innovators Have Already Reinvented Themselves

Alation

After 116 years in business, legendary guitar maker Gibson filed for bankruptcy in 2018. It requires organizations to adopt a scientific mindset of testing and iteration to find the truth, rather than using data to support a predetermined path. Sustainable innovation is often customer-centric if not customer-led.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. 2018: IoT and edge computing open up new opportunities for organizations.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. 2018 – Global reckoning about data governance, aka “Oops!…We These are outcomes that executives care about, post 2018—ever since what WSJ called a “global reckoning” about data governance.