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

Transcript - So it's funny, big data has been kind of a cliché in Silicon Valley for the last few years: big data this, big data that. Big data is really one big mountain of garbage with little gems buried it in this tremendous trash heap, and you want to find those gems — you really want to find out what's going to make the experience better. So there are a lot of sophisticated machine learning algorithms that Netflix and other companies deploy to really figure out what are the gems that are going to make a better experience, and what's the rubbish that you want to separate out and push to the side? Once you find those gems, it doesn't make it a more alienated, machine experience — it actually makes it a more personal experience. It becomes much more about the individual member.

OTHER ON-DEMAND WEBINARS

Data-Driven Product Development

DataCamp

In this webinar, Ramnath Vaidyanathan, VP Product Research at DataCamp, shares how DataCamp uses data in a big way to drive the development of products and content at scale. He gives some practical examples & insights of ways data has shaped DataCamp's products. Finally, Ramnath goes through the data-driven development process so you can apply the same principles to the products you are building.
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Master Data Management–Aligning Data, Process, and Governance

dataversity

Master Data Management (MDM) can provide significant value to the organization in creating consistent key data assets such as Customer, Product, Supplier, Patient, and the list goes on. But getting MDM “right” requires a strategic mix of Data Architecture, business process, and Data Governance. Join this webinar to learn how to find the “sweet spot” between technology, design, process, and people for your MDM initiative.
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Addressing Big Data Challenge Hadoop way

Xoriant Corporation

Are you unsure of how to leverage Big Data and select among the many technologies surrounding it? Don't worry - you aren't alone. Here and watch this video to know how you can address the Big Data challenges using Hadoop.
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Building Next-Gen Data Pipelines with Databricks Delta

Databricks

Building performant ETL pipelines to address analytics requirements is hard as data volumes and variety grow at an explosive pace. With existing technologies, data engineers are challenged to deliver data pipelines to support the real-time insight business owners demand from their analytics. Databricks Delta is the next generation of evolution in big data processing from Databricks, the company founded by the original creators of Apache Spark.
Watch Now

Spotlight

Transcript - So it's funny, big data has been kind of a cliché in Silicon Valley for the last few years: big data this, big data that. Big data is really one big mountain of garbage with little gems buried it in this tremendous trash heap, and you want to find those gems — you really want to find out what's going to make the experience better. So there are a lot of sophisticated machine learning algorithms that Netflix and other companies deploy to really figure out what are the gems that are going to make a better experience, and what's the rubbish that you want to separate out and push to the side? Once you find those gems, it doesn't make it a more alienated, machine experience — it actually makes it a more personal experience. It becomes much more about the individual member.

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