All Research Sponsored By:Dataiku
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GE Aviation: From Data Silos To Self-service
Read this white paper to learn the story of GE Aviation, a company that has been able to implement data at a large enough scale to empower the entire organization in its day-to-day processes—delivering huge ROI and efficiency improvements.
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Profit from AI and Machine Learning
View this white paper to learn how your organization can profit from AI and machine learning technologies.
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Enabling Chief Data Officers, Data Leaders, and the Data Revolution
Read this white paper for tips, tricks and advice on helping your data leader of choice bring your organization as a whole to data maturity.
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The Data ROI Toolkit: How To Determine The Value Of Your Data Initiatives
The hype propelling data science shows no signs of faltering and many businesses are already on board with long-term data investments—however, a common struggle point is properly calculating ROI on these data initiatives. Read this white paper to learn how to not only calculate your data science ROI, but also optimize it.
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Top AI Challenges In Banking and How To Address Them
Most banks are still at the beginning stages of their AI journey, with many fundamental pieces in place. However, roadblocks typically arise as businesses attempt to move forward with AI initiatives. Read this white paper for the top 5 challenges banks are facing with AI implementation, as well as suggestions for addressing them.
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Executing Data Privacy-Compliant Data Projects
Adapting to the broad scope and depth of GDPR and other upcoming, like-minded regulations can seem overwhelming at first. Read this guidebook to learn how to navigate the constantly evolving world of data privacy laws, enabling your organization to be both complaint and data-driven.
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Enabling AI Services Through Operationalization and Self-service Analytics
Read this white paper to discover 4 key areas of focus for delivering business value from data, and how to build a holistic data management architecture that supports current and future analytics and intelligence needs.
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7 Steps To Driving an Efficient Data Science POC
When it comes to the evaluation of data science solutions, proof of concepts (POCs) should prove that a system will provide widespread value to the company. Read this white paper for 7 key steps to push past data science POC, toward the real benefits for your business.
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Power Marketing Attribution with Machine Learning
Read this white paper for a deep dive into using machine learning models (as opposed to heuristic models) for marketing attribution across digital channels—both the why and how will be covered.
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Data Science Operationalization: Finding the Common Ground in 10 Steps
Read this white paper to learn how to introduce strategies and procedures designed to bridge the gap between data science project development and operationalization, so you can see the greater ROI quicker.
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6 Key Challenges to Building a Successful Data Team
Achieving actionable data insights begins with an intelligent data team. Read this white paper to find out 6 key challenges to building a successful data team and how to overcome them.
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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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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.