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Snowflake Customers Rank Cost-Effectiveness and Ease-of-Use as Top Benefits in New KLAS Research Report

Snowflake

Each year, KLAS Research interviews thousands of healthcare professionals about the IT solutions and services their organizations use. 56% of respondents report seeing clinical, financial or operational improvements either immediately or within weeks of onboarding. Our results speak to our deep commitment to the healthcare industry.

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Meet the 2024 Snowflake Startup Challenge Finalists

Snowflake

But the potential rewards are so rich — whether it is mapping the spread of diseases; determining optimum places for new housing developments; creating more efficient travel and shipping routes; and yes, providing more accurate and timely weather and traffic reports.

Media 103
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LinkedIn Bug Bounty Program - One Year Anniversary of Public Launch

LinkedIn Engineering

Invitations to the program were primarily determined from high quality engagement with security researchers via our Security mailing lists. We started by thinking about what it would mean to first scale from a few hundred researchers in the program to a few thousand.

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High-Quality AI And Machine Learning Data Labeling At Scale: A Brief Research Report

KDnuggets

Analyst firm Cognilytica estimates that as much as 80% of machine learning project time is spent on aggregating, cleaning, labeling, and augmenting machine learning model data. So, how do innovative machine learning teams prepare data in such a way that they can trust its quality, cost of preparation, and the speed with which it’s delivered?

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Embedded Analytics Insights for 2024

To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.

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A Tech Conference Listed Fake Speakers for Years: I Accidentally Noticed

The Pragmatic Engineer

A year ago, I spent months doing an investigative report on how UK events tech company Pollen had its staff work for free, as it had run out of money but still kept operating.   That BBC report required more resources than I have available. Further disturbing details have emerged from efforts by investigative reporters.

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New Approaches For Detecting AI-Generated Profile Photos

LinkedIn Engineering

In this blog, we will describe how LinkedIn partnered with academia to research advanced detection techniques, provide details on our research, and share our results on how our jointly developed detection technique technique is able to detect 99.6% We show that our approach is somewhat resilient to these transformation attacks.

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2021 State of Analytics: Why Users Demand Better

Hanover Research recently conducted a survey that investigates the role of analytics from the perspective of knowledge workers, people who handle or use information as part of their jobs. This report examines how knowledge workers use analytics and explores their needs and preferences. But what do users really want?

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".