CIO Business Intelligence

SEPTEMBER 25, 2023

Is this initiative about optimization or about growth and disruption? “A CIOs who organize transformation workstreams around problems to solve are on the right track, says David Rogers, a faculty member at Columbia Business School and author of The Digital Transformation Roadmap (2023) and The Digital Transformation Playbook (2016).

Digital Transformation 145

Digital Transformation Measurement Data-driven Metrics 145

datapine

SEPTEMBER 11, 2019

billion , growing at a CAGR of 26.98% from 2016. A forward-thinking online food ordering business wanted to gain a better insight into the life cycles of its customers while gaining the ability to optimize sales reports and marketing campaigns in a time-efficient, cost-saving, and autonomous way. 13) Optimizing Inventory.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

CIO Business Intelligence

AUGUST 12, 2022

in 2016, and BD Advanced Bioprocessing in 2018. For its order-entry automation module, Northstar leans on AI and RPA to optimize data recognition and verification, and to reduce errors and accelerate order cycle times. Since 2006, it has grown with additional mergers and acquisitions, including Life Technologies Corp.

IT 105

IT Data Lake Sales Interactive 105

Insight

JUNE 10, 2019

In 2016, Uber published its Uber Elevate White Paper , setting its aspirations on providing on-demand air taxis from San Francisco to San Jose for about $130. Alexander | June 1, 2016 Training a c onvolution neural network (CNN) to spot helipads The solution I developed rests on retraining a CNN to recognize helipads in aerial images.

Breakeven 69

Breakeven Modeling Testing Marketing 69

Domino Data Lab

JULY 1, 2021

This combination of CRF and BiLSTM is often referred to as a BiLSTM-CRF model (Lample et al 2016), and its architecture is shown in Figure 2. from keras import optimizers from keras.models import Model from keras.models import Input from keras_contrib.layers import CRF from keras_contrib import losses from keras_contrib import metrics.

Modeling 111

Modeling Statistics Testing Metrics 111

Occam's Razor

APRIL 21, 2014

Identify where your company is currently, what the next optimal step is in the ladder and give it all your attention in terms of data analysis or analytics code fixes. I believe these two posts with a collection of some of my favorite metrics will inspire you: 1. Best Metrics For Digital Marketing: Rock Your Own And Rent Strategies 2.

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

AWS Big Data

JULY 25, 2023

As their workload evolved, Alcion engineers tracked OpenSearch domain utilization via the provided Amazon CloudWatch metrics, making changes to increase storage and optimize their compute resources. This allowed Alcion to focus on optimizing the tenancy model for the new search architecture.

Cost-Benefit 75

Cost-Benefit Modeling Management Optimization 75

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

The first is that they are straightforward to optimize using traditional gradient-based optimizers as long as we pre-specify the placement of the knots. There is a robust set of tools for working with these kinds of constrained optimization problems. PLFs have two useful properties that we take advantage of. Pfeifer, J.,

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Smart Data Collective

MAY 31, 2023

Most savvy marketers recognize the importance of using analytics technology to optimize their strategies to get a higher ROI. Instagram uses big data to identify and block offensive content, create personalized feeds for their users and optimize their advertising platform. however, data is available for months afterwards.

Marketing 77

Marketing Data Analytics Analytics Interactive 77

Domino Data Lab

AUGUST 22, 2019

You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. If we were using CBOW, then a window size of 5 (for a total of 10 context words) could be near the optimal value. The contemporary leading alternative to both word2vec and GloVe is fastText. Joulin, A., arXiv: 1607.01759.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Andrew White

JANUARY 9, 2022

– We did some early work a few years ago that look at the career path of a CDO – see from 2016 Build Your Career Path to the Chief Data Officer Role. This is the same for scope, outcomes/metrics, practices, organization/roles, and technology. 2016) though I have followed the topic in retail and CPG for years.

Analytics 64

Analytics Measurement Modeling Data-driven 64

AWS Big Data

NOVEMBER 29, 2023

The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI). The gold model joins the technical logs with billing data and organizes the metrics per business unit. The gold model uses Iceberg’s ability to support data warehouse-style modeling needed for performant BI analytics in a data lake.

Data Lake 107

Data Lake Management Metrics Data Warehouse 107

Domino Data Lab

AUGUST 1, 2021

2016) for an example of this technique (LIME). Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. Toy example to present intuition for LIME from Ribeiro (2016). 1135–1144, ACM, 2016. See Ribeiro et al. Guestrin, C.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Occam's Razor

JULY 13, 2017

Oh, or your main traffic sources and the visitor acquisition metrics? This is the simple view that greets you, outbreaks from 1890 to 2016 with vaccine development during that same time…. You have many examples in this post as to how you can avoid making yourself look like sub-optimal Reporting Squirrel.

Visualization 124

Visualization Strategy Interactive Statistics 124

O'Reilly on Data

MAY 11, 2020

It predates recommendation engines, social media, engagement metrics, and the recent explosion of AI, but not by much. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. YOUTUBE, CONSPIRACY, AND OPTIMIZATION. If that’s not engagement, what is?

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190