DataRobot Blog

MAY 26, 2022

In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods. Figure 4: DataRobot provides an interactive ROC curve specifying relevant model performance metrics on the bottom right.

Risk 52

Risk Modeling Metrics Business Objectives 52

datapine

APRIL 15, 2020

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. The term “agile” was originally conceived in 2011 as a software development methodology. You want an organization-wide buy-in of your business intelligence strategy.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Domino Data Lab

APRIL 3, 2019

Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade. Andrew Ng later described this strategy as the “Virtuous Cycle of AI” – a.k.a. Fun fact: in 2011 Google bought remnants of what had previously been Motorola. the flywheel effect.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Occam's Razor

SEPTEMBER 24, 2012

Based on results of value identified for Facebook, optimize their advertising mix strategy for future product launches. Virality is also really interesting (again, actual human interaction), people who "create a story from your post" (share etc). My recommendation above is the simplest way to attempt this.

Advertising 165

Advertising ROI Metrics Marketing 165

Sisense

NOVEMBER 26, 2019

To be sure, data analysts will always be a core part of any company’s data strategy, but frontline business users need to be empowered with tools that allow them to perform ad hoc analyses and make smarter decisions based on their unique needs, regardless of technical skill. It’s all going to one place today: the cloud.

Digital Transformation 93

Digital Transformation Data-driven ROI Software 93

IBM Big Data Hub

NOVEMBER 20, 2023

It was introduced in 2011 as an alternative to the SATA and Serial Attached SCSI (SAS) protocols that were the industry standard at the time, and it conveys better throughput than its predecessors. Since 2011, NVMe technology has distinguished itself through its high bandwidth and blazing-fast data transfer speeds. What is NVMe?

Internet of Things 72

Internet of Things Enterprise Technology IoT 72

Domino Data Lab

JANUARY 6, 2019

Skills continuing to grow in prominence by 2022 include analytical thinking and innovation as well as active learning and learning strategies. Downey (2011). While avoiding the editorial and acquisition aspects, we oversaw production of learning paths, instructional videos, and conference training. Python Data Science Handbook.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Occam's Razor

SEPTEMBER 13, 2016

I've added new insights, recommendations, and two bonus lessons on how to do surveys better and a direct challenge to your company's current analytics strategy. Bonus #1: Lessons from Econsultancy/Lynchpin Survey Strategy. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis.

Modeling 127

Modeling Reporting Strategy Consulting 127

IBM Big Data Hub

NOVEMBER 13, 2023

In 2011, NVMe storage technology was introduced as an alternative to SATA and Serial Attached SCSI (SAS) protocols, which had been the industry standard for several years. Demanding applications: Apps featuring real-time customer interactions and fast access to large volumes of data often rely on NVMe technology to run their workloads.

Internet of Things 81

Internet of Things Technology Enterprise Marketing 81

IBM Big Data Hub

NOVEMBER 3, 2023

NVMe storage technology was designed to replace Serial Advanced Technology Attachment (SATA) and Serial Attached SCSI (SAS) protocols that were the industry standard until NVMe’s introduction in 2011.

Cost-Benefit 76

Cost-Benefit Enterprise Internet of Things Technology 76

Domino Data Lab

JULY 9, 2019

Here is a picture of The New York Times on its birthday in 1851, and for the vast majority of its lifespan this is pretty much what the user experience of interacting with The New York Times looks like. There’s some strategy to be thought about in terms of how we push these things out on social channels. We can monetize that.”

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Occam's Razor

NOVEMBER 2, 2015

" The second question was never answered either, but because all businesses know is how to pimp that became their default strategy. if yes, what should your content (and marketing) strategy be. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. Big mistake. They should.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. We chose QuickSight because of its embedded analytic capabilities, serverless architecture, and consumption-based pricing,” says Minnaert.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52