All Research Sponsored By:Dataiku
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Practical Deep Learning for Cloud & Mobile
You may be surprised to discover just how graspable machine learning and deep learning algorithms really can be. Read this e-book preview for a glimpse into the deep learning universe using Keras—a powerful, easy-to-use framework with predictive analytics capabilities.
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Marketing Artificial Intelligence for Dummies
As things currently stand, marketing teams must use data to continuously innovate and disrupt their business. This means introducing transparency and democratization to empower everyone throughout the enterprise and the marketing team to draw and use data insights on their own—read this white paper to learn how.
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GE Aviation: From Data Silos to Self-Service
In the case of GE Aviation, they were able to boast innovative new products and huge efficiency boosts by implementing a self-service analytics solution—ensuring that all business efforts could be quantified at scale. Read this case study to learn how.
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From The Trenches: A Survey Report
Over 100 data professionals at the EGG Conference in New York City were surveyed about their current data science and machine learning roadblocks on the path to enterprise AI—read this white paper for the results to learn how you can avoid the same struggle points.
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Why Enterprises Need Data Science, Machine Learning, and AI Platforms
Ultimately, it's about saving time and getting organizations into the AI game sooner rather than later—read this white paper to learn more about data science and ML platforms and how they allow for more productive data initiatives.
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Enabling Chief Data Officers, Data Leaders, and the Data Revolution
CDOs can drive data strategy, support machine learning analysis, and generate business value with data. Read this white paper (including insights from over 50 CDOs worldwide) to learn how to create an organizational path to data leader success.
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Showroomprive Success Story
Read this case study to learn how Showroomprive.com—one of Europe's leading e-commerce players—developed a strategy that was able to predict customer churn with 77% accuracy.
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BlaBlaCar Success Story
BlaBlaCar discovered a solution that helped them to clean, consolidate and centralize heterogeneous data sources for on-demand access by BI teams around the world—read this case study to learn what they now use.
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Coyote Success Story: How to Improve Core Product Accuracy and Efficiency with IoT
In this case study, discover how the European leader of real-time road information, Coyote, overcame their data challenges with Dataiku. Explore Dataiku's Data Science Studio (DSS), and decide if Dataiku DSS is right for your organization's IoT needs.
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Advanced Analytics in Healthcare Toward Efficient, Precise, and Personal Medicine
Read this white paper to learn how NLP, AI, machine learning, IoT, and other recent data science innovations can alter (for the better) the way healthcare is run.
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LINK Mobility Case Study: Revenue-Generating Data Projects from the Ground Up
Data should not be viewed as something that flows into the company only for the sake of drawing insights. Read this case study to learn how LINK Mobility Group, a leading provider of mobile communications, turned their massive data streams into a product.
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Trainline Case Study: How to Get a Global Understanding of Marketing Acquisition
Read this case study to learn about Trainline, Europe's leading independent train travel platform, and how they opened up their entire organization to self-service analytics—vastly improving marketing knowledge and acquisition.
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Enabling AI Services Through Operationalization
Read this white paper to learn why operationalization and self-service analytics are key to a successful and pervasive data-driven business model.
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Essilor Case Study: Harnessing Large, Heterogenous Datasets to Improve Manufacturing Process
Read this case study to learn how you can stay competitive in a high-speed industry with data streaks and an intelligent data science strategy.
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The Analyst of the Future
With the increase in popularity in artificial intelligence (AI) tools, it becomes unclear how much analytics job roles will remain the same. Read this white paper to begin carving out your analytics niche in an industry being disrupted constantly by technology.
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How To: Address Churn with Predictive Analytics
Churn is when a company loses a customer - and mostly every business will have to deal with this sooner than later, because it has the power to plateau growth. Read this white paper to learn how to use predictive analytics to predict and prevent customer loss.
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An Introduction to Machine Learning Interpretability
Unfortunately, the more accurate a ML model becomes, the less interpretable its predictions become - an inherent dilemma for analysts and data scientists working in regulated industries. Read this white paper to learn how to surmount this catch-22.
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Executing Data Privacy-Compliant Data Projects
Dataiku has compiled a data privacy guidebook to keep companies regulation compliant while planning data storage or analytics initiatives by pitting myth vs. reality. Read it here.
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How to Thrive in the Enterprise AI Era
Mike Gualtieri (VP & Principal Analyst, Forrester) and Florian Douetteau (CEO, Dataiku) discuss the growing enterprise AI landscape and how machine learning (ML) fits into it. Watch this webcast for more information.
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The Importance of AutoML for Augmented Analytics
Read this white paper to learn about the potential of augmented analytics & enterprise AI and the shifting role of the Data Scientist.
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Enabling AI Services Through Operationalization + Self-Service Analytics
Read this white paper to learn how to build a holistic data management architecture to support current and future business intelligence, advanced analytics, machine learning, and AI initiatives.
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Enabling AI Services Through Operationalization and Self-Service Analytics
Gartner says self-service analytics and BI users will produce more analysis than data scientists will by 2019. Read this extensive guide for all the pitfalls, how-tos and whys in perfecting a data-powered business.
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Why Teams Need Data Science Tools
The tools to create a scalable and optimized data science team are readily available, but which provider will you choose? Read this white paper to learn if Dataiku is right for you.
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Profit from AI and Machine Learning
Data science is the starting point for AI. Projects in either sector require the same scientific discipline for thoroughly vetting, testing, and comparing results for candidate models and data sets. This eBook by Ovum starts from the ground up. Read on to incorporate AI into your model now.
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Machine Learning Basics: An Illustrated Guide
This easy-to-read, entry-level e-book explains all the basics of machine learning, without the technical lingo that bogs it down. Read on for more information.