Thu.Mar 11, 2021

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Choosing the right Machine Learning Framework

Domino Data Lab

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing. Using these tools, businesses can scale their machine learning efforts while maintaining an efficient ML lifecycle.

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Step by Step process of Feature Engineering for Machine Learning Algorithms in Data Science

Analytics Vidhya

ArticleVideo Book Introduction Data Science is not a field where theoretical understanding helps you to start a carrier. It totally depends on the projects. The post Step by Step process of Feature Engineering for Machine Learning Algorithms in Data Science appeared first on Analytics Vidhya.

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Gartner – Top Trends in Data and Analytics for 2021: XOps

DataKitchen

Gartner identified XOps (DataOps, ModelOps, DevOps) as one of the top trends in data and analytics for 2021. Below we provide additional suggestions for further reading based on Gartner’s recommendations. What is XOps? . Gartner: “The multiplication of Ops disciplines stemming out of DevOps best practices has caused significant confusion in the marketplace.

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A Hands-On Introduction to Hugging Face’s AutoNLP 101

Analytics Vidhya

ArticleVideo Book Hugging Face, founded in 2016, has revolutionized the way people approach Natural Language Processing in this day and age. Based in New. The post A Hands-On Introduction to Hugging Face’s AutoNLP 101 appeared first on Analytics Vidhya.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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A Guide to Building Better Data Products

Juice Analytics

At Juice, we’ve helped our clients launch dozens of data products that generate new revenue streams, differentiate their solutions in the market and build stronger customer relationships. Along the way, we’ve learned a lot about what works and doesn’t. In this series I’ll take you through what you need to know to design, build, launch, sell and support a data product.

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Top Three Requirements for Data Flows

Cloudera

Data flows are an integral part of every modern enterprise. No matter whether they move data from one operational system to another to power a business process or fuel central data warehouses with the latest data for near-real-time reporting, life without them would be full of manual, tedious and error-prone data modification and copying tasks. At Cloudera, we’re helping our customers implement data flows on-premises and in the public cloud using Apache NiFi , a core component of Cloudera DataFl

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What are data silos and why are they a problem?

Jedox

In this blog post, we’ll look at data silos, how they emerge and the problems they can cause within an organization. We’ll also discuss some approaches to resolving the silos, and most importantly, why it’s vital to success in the long run. A data silo typically consists of stored data that is not available to the entire organization, but only to some parts of it, such as departments, teams, or even individual employees, and is thus siloed within the organization.

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#ClouderaLife Spotlight: Karen Ji, Senior Manager, Customer Operations

Cloudera

Karen Ji, is Cloudera’s Senior Manager Customer operations ensuring the success of our global customers, with a regional focus on China and Korea. Multi-tasking is my superpower. Karen joined Cloudera as a Solutions Engineer before switching to lead customer support. On a daily basis Karen collaborates across the business with different functions, but works extremely closely with the field, sales and professional services teams to ensure that customers have the support and insights they need to

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Data Virtualization: The Key to a Successful Data Lakes

Data Virtualization

If you’ve decided to implement a data lake, you might want to keep Gartner’s assessment in mind, which is that about 80% of all data lakes projects will actually fail. Obviously, you want to be in that 20% that succeed. The post Data Virtualization: The Key to a Successful Data Lakes appeared first on Data Virtualization blog.

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What’s New in the Dataiku Academy Since Launch?

Dataiku

Last May, we launched the Dataiku Academy , our free self-service learning and certification platform. Since then, we’ve been keeping busy trying to create and continuously improve on this interactive learning experience with video-rich content, self-paced courses, learning paths and certifications, to guide and support all of our users in their journey of learning and mastering Dataiku DSS.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Data Virtualization: The Key to a Successful Data Lake

Data Virtualization

If you’ve decided to implement a data lake, you might want to keep Gartner’s assessment in mind, which is that about 80% of all data lake projects will actually fail. Obviously, you want to be in that 20% that succeed. The post Data Virtualization: The Key to a Successful Data Lake appeared first on Data Virtualization blog.

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Data Saves Lives and Evolves Businesses: COVID 2020 Reflections

Sisense

Blog. As the COVID-19 pandemic drags on, we continue to find examples of organizations that use analytics to manage uncertainty. Data played an outsized role in the necessary changes we’ve seen in 2020 and will have an even greater impact in 2021 and beyond. A 2020 survey showed that almost half of businesses are now using analytics more often than they had prior to the pandemic.

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How to Get Your Cloud Analytic Architecture Right

Teradata

Getting your Cloud data architecture right starts with understanding which data products you need, the roles they perform, & the functional & non-functional characteristics that those roles demand.

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Road to Automation – Partnering with Enterprise AI Companies

bridgei2i

Road to Automation – Partnering with Enterprise AI Companies. The commercial model of an enterprise AI company is simple – help technologically handicapped businesses make the most of AI technology. For centuries, enterprises have depended on new technology to stay a few steps ahead of their competitors. The need to invest in AI technology is just as severe as the need to invest in the Internet was back in the late 1990s.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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How Bliss Point Media Broke Free from Time-Consuming and Error-Prone NetSuite Reporting

Jet Global

Webinar Date: April 14, 2021 at 1 PM Local Time. Americas. Register Now. (EST). Europe, Middle East, Africa. Register Now. (GMT). Asia Pacific. Register Now. (AEDT). A finance team’s busiest time is during the month-end reporting process, due to a lack of control over the data produced from complicated consolidations, drawn-out entry validations, and the never-ending task of exporting and reformatting reports into spreadsheets to make them useful.

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How Can Small Businesses Benefit from an AI Data Company?

bridgei2i

How Can Small Businesses Benefit from an AI Data Company? We all know how Artificial Intelligence helps giants like Google and Amazon reshape their commercial techniques and business strategies. From eliminating the need for human assistance in repetitive tasks to reducing the risk of human errors in manual processes – AI can do a lot for large-scale businesses.

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Data Virtualization: The Key to a Successful Data Lake

Data Virtualization

If you’ve decided to implement a data lake, you might want to keep Gartner’s assessment in mind, which is that about 80% of all data lake projects will actually fail. Obviously, you want to be in that 20% that succeed.

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How to Use Artificial Intelligence to Improve Customer Experiences?

bridgei2i

How to Use Artificial Intelligence to Improve Customer Experiences? The terms artificial intelligence and customer experience have been thrown around a lot in the last decade. The real question that needs answering is whether AI tools can provide businesses with real-time customer understanding. A top-quality AI-powered Customer Analytics system can help businesses recognize their customers’ present and future requirements.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.