Thu.Sep 23, 2021

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Navigating the Data Provider Jungle

Dataiku

We speak a lot about the ways we can use data, transform it, and create powerful models based on advanced machine learning techniques, but we sometimes forget where the data comes from initially. In an organization, data is sourced either internally, like the information flowing out of a CRM database , or externally, when we think about any bytes of data that were provided by a third party.

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Data Analysis and Price Prediction of Electric Vehicles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview of Electric Vehicle Sector The supply of fossil fuels is constantly decreasing. The situation is very alarming. It is time for the world to slowly adapt to electric vehicles. A lot of change needs to happen. Major carmakers like Tesla and Porsche manufacture […]. The post Data Analysis and Price Prediction of Electric Vehicles appeared first on Analytics Vidhya.

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Sisu Optimizes Analytics with Machine Language for Actions & Decisions

David Menninger's Analyst Perspectives

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions. The product features fact boards, annotations and the ability to share facts and analysis across teams.

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How the right automation strategy can unlock data silos

CIO Business Intelligence

A recent Ernst and Young report found that 81% of organizations embrace the notion that data should be at the heart of all decision making. Yet, in many organization the decision-making process is stalled because data is still kept in silos.

Strategy 130
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Sisu Optimizes Analytics with Machine Learning for Actions & Decisions

David Menninger's Analyst Perspectives

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions. The product features fact boards, annotations and the ability to share facts and analysis across teams.

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Benefits of Hiring a Creative Agency with a Background in Data Analytics

Smart Data Collective

You may not have thought about creative professionals having a strong foundation in data analytics. Artists are known for their creative insights, rather than their analytical or scientific competencies. However, the world has changed, which means that a background in big data and other types of technology is equally important. Data-driven businesses need to keep this in mind when looking for creative professionals.

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New Meeting-based Cyberattacks Have Security Specialists on Edge

Smart Data Collective

Security specialists and networking engineers are starting to warn users about a dangerous new type of social engineering attack that impacts those who use online meeting applications. Attackers that gain control of a compromised email or messenger account have been able to generate large numbers of forged calendar invites, which they can then send out to a large number of people all at once.

IT 104
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Using a Logical Data Fabric to Deliver Faster Insights in a Hybrid Cloud World

Data Virtualization

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the. The post Using a Logical Data Fabric to Deliver Faster Insights in a Hybrid Cloud World appeared first on Data Virtualization blog.

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At Center Stage III: Ontotext Webinars About GraphDB’s Data Virtualization Journey from Graphs to Tables and Back

Ontotext

This post continues our series aiming to provide the bigger picture of what we do and how our webinars fit into it. All of our webinars are available on demand. If we’ve managed to peak your interest with this post, you can request a free recording. So, we started this series by introducing knowledge graphs & their application in data management and how to reason with big knowledge graphs & use graph analytics.

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Using a Logical Data Fabric to Deliver Faster Insights in a Hybrid Cloud World

Data Virtualization

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the. The post Using a Logical Data Fabric to Deliver Faster Insights in a Hybrid Cloud World appeared first on Data Virtualization blog.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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What Do You Actually Need from a Data Catalog Tool?

Alation

What Is a Data Catalog? A data catalog is a centralized storage bank of metadata on information sources from across the enterprise, such as: Datasets. Business intelligence reports. Visualizations. Conversations. The data catalog also stores metadata (data about data, like a conversation), which gives users context on how to use each asset. It offers a broad range of data intelligence solutions, including analytics, data governance, privacy, and cloud transformation.