How to Gauge Project Feasibility with Rapid Prototyping using Code-First Data Science

How to Gauge Project Feasibility with Rapid Prototyping
Data scientists’ time is valuable. Computing resources are expensive. With only 87% of projects ever making it to production (Source: VentureBeat), organizations often overcommit to costly projects that bear little fruit. Data science teams need a way to assess project feasibility without diving head first.
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HOW BIG DATA IS KEEPING DANGEROUS VEHICLES OFF THE ROAD 390 MILLION Since 1996, more than vehicles have been recalled for safety defects.RECALL Auto companies average 200 safety related and compliance recalls each year. 1 in 7 cars on the road have an unrepaired safety recall…

OTHER ON-DEMAND WEBINARS

How Data Governance Helped Genworth Financial to See Data as an Asset

One of the biggest misunderstandings about data governance? An assumption that you need data governance only because you’re working with inherently low-quality or low-value data. The data governance team at Genworth Financial focused on changing the way the organization thinks about governance in order to improve how it captures, stores, transforms, analyzes, and presents data—which in turn unlocked their data’s full value.
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Modernizing Data Architecture With Streaming CDC

Modernising Data Architecture with Streaming CDC Expanding analytics requirements have increased the appetite for massive data volumes. However, these data flows can create bottlenecks, preventing timely and modern analytics innovations such as machine learning. This is where streaming Change Data Capture (CDC) comes in.
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Unleash the power of text analytics on your dark data with IBM Watson Explorer for Data Science Experience

IBM

In this webinar we will provide an overview and demonstration of new IBM Watson Explorer for Data Science Experience features that enable data science teams to more productively discover and use insight from document collections and other text data to achieve new outcomes.
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Designing a Successful Governed Citizen Data Science Strategy

datarobot

To compete in today’s digital economy, enterprises require new ways to expand AI across their entire organization. Nearly all firms want to do more with data science, but they don’t know where to begin or how to properly empower citizen data scientists to avoid common AI gone wrong accidents. In this session, we will discuss how to approach your journey into citizen data science with existing analytics talent. Proven best practices and lessons learned from successful early adopters of augmented data science will be shared. We will walk through example initiative roadmaps, recommended staffing, upskilling, mentoring and ongoing governance.
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Spotlight

HOW BIG DATA IS KEEPING DANGEROUS VEHICLES OFF THE ROAD 390 MILLION Since 1996, more than vehicles have been recalled for safety defects.RECALL Auto companies average 200 safety related and compliance recalls each year. 1 in 7 cars on the road have an unrepaired safety recall…

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