Leading Upskilling Initiatives

in Data Science and Machine Learning

gartner-upskilling-cover-260According to Gartner, "Despite tool enhancements and more data and analytics professionals, the talent gap is a top challenge for data science and machine learning initiatives. This is a high-level playbook to help data and analytics leaders develop in-house talent and improve data science and machine learning literacy."

Get a copy of the playbook, compliments of Dataiku. Read on for more information on Dataiku, the platform democratizing access to data and enabling enterprises to build their own path to AI.

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Dataiku provides one simple UI for data wrangling, mining, visualization, machine learning, and deployment based on a collaborative and team-based user interface accessible to anyone on a data team, from data scientist to beginner analyst.

Dataiku also offers a visual AutoML suite that guides the user through all of the machine learning steps (train-test split, features handling, metrics to optimize, different templates of pre-set algorithms).

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The transformation to AI must be global within the organization and not just to focus on specific niche. Dataiku provides support of hybrid deployment models (including operationalization and self-service analytics) plus the elastically scale to match data location and cost constraints.

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No matter what the underlying changes in architecture or advancements in technology, Dataiku is at the center, providing a path to AI that is:

  • Accountable: Ensuring that models are designed and behave in ways aligned with their purpose.
  • Sustainable: Establishing the continued reliability of AI-augmented processes in their operation as well as execution.
  • Governable: Centrally controlling, managing, and auditing the the Enterprise AI effort.

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Gartner, Leading Upskilling Initiatives in Data Science and Machine Learning, 19 July 2019, Peter Krensky

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Dataiku.