The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). It is also a sound strategy when experimenting with several parameters at the same time.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time. The impact of these investments will become evident in the coming years.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

CIO Business Intelligence

DECEMBER 14, 2023

At yet when it is home to many of your company’s assets, as is the case for ConocoPhillips, sometimes the best IT strategy is to bring technologies closer to the edge. So Mathur and De Bernardi put together a cross-functional team to develop a strategy that would rely heavily on partnerships across the company.

Manufacturing 100

Manufacturing Digital Transformation Experimentation Cost-Benefit 100

Cloudera

OCTOBER 18, 2023

In fact, some of the insights presented in this blog have been assisted by the power of large language models (LLMs), highlighting the synergy between human expertise and AI-driven insights. Although this list is not exhaustive, I’ve provided an at-a-glance aggregate of use cases for quick wins, quicker wins, and longer-term strategies.

Cost-Benefit 76

Cost-Benefit Testing Machine Learning Optimization 76

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks. Highlights.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

CIO Business Intelligence

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Smart manufacturing at scale is a challenge.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

FEBRUARY 21, 2023

As part of Heineken’s 2021 EverGreen strategy to commit to future-proof the organization, adapt to market dynamics, and emerge stronger from the pandemic, there’s the objective to digitally transform the business and its relations with stakeholders. There’s also a growing emphasis on improving team performance.

Digital Transformation 105

Digital Transformation Sales Experimentation Optimization 105

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. Why AI software development is different. Machine learning adds uncertainty.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. There are four groups of data that are naturally siloed: Structured data (e.g., Transaction and pricing data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Octopai

OCTOBER 26, 2022

Data-driven organizations are a bad idea. Using data to drive your organization is wonderful. But data, at best, can only be a powerful vehicle, or a reliable GPS system. Except sometimes we call organizations “data-driven” when really the data is driving them up the wall. And it should be.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”. This is partly because integrating and moving data is not the only problem.

IT 69

IT Cost-Benefit Data-driven Technology 69

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Over the last couple years, it would be hard to blame anyone for being overwhelmed looking at the data science platform market landscape. Proprietary (often GUI-driven) data science platforms. Automation Tools.

Data Science 65

Data Science Marketing Data-driven Statistics 65

Occam's Razor

JULY 24, 2018

Even simple questions like “ How effective is our analytics strategy? Soon, your digital analytics strategic framework that you hoped would provide a true north to the analytics strategy question looks like this …. Consequently, we lose sight of where we are, how we are doing and which direction is true north.

Analytics 93

Analytics Metrics Strategy Measurement 93

CIO Business Intelligence

MAY 9, 2024

Its ability to automate routine processes and provide data-driven insights helps create a conducive environment for deep work. Experimentation drives momentum: How do we maximize the value of a given technology? Via experimentation. AI changes the game. It’s like “fail fast” for genAI projects.

Enterprise 122

Enterprise Experimentation Sales Optimization 122

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Occam's Razor

AUGUST 22, 2011

Be data driven?" Six Rules For Creating A Data Driven Boss! Be data driven?" Barriers To An Effective Web Measurement Strategy [+ Solutions!]. Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model.

KPI 124

KPI Metrics Measurement ROI 124

CIO Business Intelligence

APRIL 24, 2024

Sales and marketing departments have long been at the forefront of embracing new technologies, and according to data provided by the Alexander Group, a revenue consultancy, 80% of hundreds of survey responses detailed that CROs have formally invested in AI for their marketing teams.

Sales 128

Sales Finance Experimentation Cost-Benefit 128

Occam's Razor

SEPTEMBER 19, 2011

We have to do Search Engine Optimization. The company truly has a portfolio strategy when it comes to marketing. It is also important to point out that I am keeping the data simple purely to keep communication of the story straightforward. Here's the outcomes data for the control version of the experiment.

Measurement 119

Measurement Advertising Testing Marketing 119

datapine

MAY 20, 2020

With a powerful dashboard maker , each point of your customer relations can be optimized to maximize your performance while bringing various additional benefits to the picture. When using a CRM dashboard tool , all these benefits will come under a single data-roof, where you can access and share your data across the board.

Dashboards 265

Dashboards Reporting KPI Visualization 265

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

Occam's Razor

DECEMBER 9, 2009

It is rare for me to work with a organization where the root cause for their faith based decision making (rather than data driven) was not the org structure. Surprisingly it is often not their will to use data, that is there in many cases. Chapter 14: HiPPOs, Ninjas, and the Masses: Creating a Data-Driven Culture.

Analytics 95

Analytics Data-driven Marketing Sales 95

datapine

FEBRUARY 4, 2020

Let’s face it: every serious business that wants to generate leads and revenue needs to have a marketing strategy that will help them in their quest for profit. A marketing report is a set of data created to analyze the performance of a specific marketing campaign or effort. What Is A Marketing Report? How To Write A Marketing Report?

Reporting 280

Reporting Marketing Advertising Metrics 280

The Unofficial Google Data Science Blog

JUNE 30, 2016

By IVAN DIAZ & JOSEPH KELLY Determining the causal effects of an action—which we call treatment—on an outcome of interest is at the heart of many data analysis efforts. In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects.

Statistics 44

Statistics Optimization Modeling Experimentation 44

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

Machine Learning 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

Occam's Razor

NOVEMBER 13, 2009

No dragging of the feet, the book starts with a bang by laying out the framework that will be the center of every company that will leverage data (qualitative, quantitative, competitive) on the web. Chapter 2 The Optimal Strategy for Choosing Your Web Analytics Soul Mate. I am out of breath! Oh, oh, oh qualitative analysis!!

Analytics 71

Analytics Metrics Measurement Testing 71

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

NOVEMBER 14, 2023

Data is a key strategic asset for every organization, and every company is a data business at its core. However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses.

IoT 57

IoT Data-driven Data Lake Data Strategy 57

Cloudera

APRIL 9, 2019

of application workloads were still on-premises in enterprise data centers; by the end of 2017, less than half (47.2%) were on-premises. A hybrid, multi-cloud strategy is the best approach to managing these distributed, heterogeneous data ecosystems. Enterprises are moving to the cloud. In 2016, 60.9% Future proof.

Strategy 52

Strategy Experimentation Metadata Business Objectives 52

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. The last 10+ years or so have seen Insurance become as data-driven as any vertical industry. Yes, definitely!

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Occam's Razor

DECEMBER 12, 2016

There is, almost literally, an unlimited number of things you could focus on to create a high impact data-influenced organization. How do you ensure that your can zig-zag with business strategy? You live or die by the data you collect, and the quality of that data. Data quality plays a role into this. So beautiful.

Analytics 141

Analytics Data-driven Strategy Consulting 141

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

OCTOBER 4, 2023

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. This is challenging because access to data is managed differently by each of the tools.

Metadata 108

Metadata Data Lake Publishing Data Governance 108

Occam's Razor

OCTOBER 23, 2006

The title of my presentation at the Washington DC Emetrics summit was: Creating a Data Driven Web Decision Making Culture – Lessons, Tips, Insights from a Practitioner. Seven Steps to Creating a Data Driven Decision Making Culture…… Slide 1: Decision Making Landscape. 2 Solve for the Trinity. #

Data-driven 117

Data-driven Metrics KPI Reporting 117

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Without large amounts of labeled training data solving most AI problems is not possible.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

FEBRUARY 12, 2020

This post is for people making technology decisions, by which I mean data science team leads, architects, dev team leads, even managers who are involved in strategic decisions about the technology used in their organizations. Suppose you have an “expensive” function to run repeatedly over data records. If your team has started using ?

Experimentation 137

Experimentation Modeling Data Science Management 137