O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). Why AI software development is different. This shift requires a fundamental change in your software engineering practice. It’s hard to predict how long an AI project will take.

Management 327

Management Machine Learning Experimentation Metrics 327

CIO Business Intelligence

FEBRUARY 7, 2024

Franchetti acknowledges that a KPI- and outcome-driven method is still appropriate for many technology rollouts, but “the organic approach is better for AI, so our deep software development subject matter experts can innovate without a targeted business outcome,” he says. “Of Today, 35% of our IT support is fully automated.

KPI 88

KPI Measurement Experimentation Finance 88

CIO Business Intelligence

SEPTEMBER 9, 2022

There is, for example, far more creativity involved in building software than is typically imagined. Measure the right outputs. The sudden insight they get in the shower when thinking about how the software components fit together is quite possibly more valuable than the thing you paid them to build.

Software 130

Software Experimentation Measurement Marketing 130

DataKitchen

MARCH 8, 2023

This requires a culture of innovation, experimentation, and willingness to take risks and try new approaches. Top-tier software teams benchmark those junior engineers’ by their ability to get a minor bug fix into production in their first week of work. Measuring these goals is very important to success. Don’t despair!

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

DataKitchen

APRIL 13, 2021

ICEDQ — Software used to automate the testing of ETL/Data Warehouse and Data Migration. Terraform – Open-source infrastructure as code software tool that provides a consistent CLI workflow to manage hundreds of cloud services. . Liquibase — Database release automation for software development teams. Production Monitoring Only.

Testing 300

Testing Machine Learning Consulting Data Quality 300

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. Clear measurement and monitoring of results. Measure success. Process measurement – construct dashboards on every aspect of the data lifecycle for unprecedented process transparency. Low error rates.

Testing 152

Testing Dashboards Measurement Experimentation 152

Ontotext

JULY 6, 2023

The screenshot below shows a piece of news where the annotated concepts are underlined and the annotation types are displayed on the right-hand side (keyphrases, organizations, software, locations, work, people, etc.). It incorporates the knowledge of Subject Matter Experts and ensures accurate sentiment measurements.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

CIO Business Intelligence

MAY 2, 2024

Tie it to the mission “Changes are most accepted if they are tied to mission and purpose,” says Jennifer Dulski, CEO and founder of software company Rising Team. I try and build a culture where everything is hypothesis-driven and experimental,” says Digiterre’s Jethwa. Every company has a vision, a mission, a set of values,” she says.

IT 133

IT Experimentation Software Management 133

Jedox

SEPTEMBER 11, 2019

Experimental” Technology. Is AI truly experimental technology? Just a few years ago, you had to purchase expensive hardware and software and hire a data scientist to build a model that today is most likely available “out of the box.” In most cases, the answer is no. ” Common FP&A Use Cases.

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

O'Reilly on Data

OCTOBER 13, 2020

In traditional software engineering, precedent has been established for the transition of responsibility from development teams to maintenance, user operations, and site reliability teams. This distinction assumes a slightly different definition of debugging than is often used in software development. Monitoring.

Management 240

Management Metrics Machine Learning Modeling 240

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. Your Chance: Want to try a professional BI analytics software? Your Chance: Want to try a professional BI analytics software? The results?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

IBM Big Data Hub

MARCH 4, 2024

In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness. This culture encourages experimentation and expertise growth.

Enterprise 99

Enterprise ROI Risk Strategy 99

CIO Business Intelligence

MAY 20, 2024

Another study used smartphone geolocation data to measure face-to-face interactions among workers at various Silicon Valley firms. As a means of control, budgets measure performance against planned targets, influencing employee behavior. The study documents “substantial returns to face-to-face meetings … (and) returns to serendipity.”

Management 107

Management Interactive Measurement Marketing 107

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. But these are not usually amenable to A/B experimentation.

Experimentation 68

Experimentation Sales Metrics Measurement 68

Cloudera

APRIL 26, 2023

According to Cloud Native Computing Foundation ( CNCF ), cloud native applications use an open source software stack to deploy applications as microservices, packaging each part into its own containers, and dynamically orchestrating those containers to optimize resource utilization. What is cloud native exactly?

Cost-Benefit 64

Cost-Benefit Optimization Experimentation Machine Learning 64

CIO Business Intelligence

APRIL 26, 2023

“This creates a culture of ‘ladder-climbing’ rather than a focus on continuous training, learning, and improvement,” says Nicolás Ávila, CTO for North America at software development firm Globant. Ensure there’s an ability to measure training effectiveness during and after the training program’s completion.”

IT 98

IT Experimentation Forecasting Technology 98

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). NLG is a software process that transforms structured data into human-language content. Industry 4.0 4) Prosthetics.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. Today, we come together on Microsoft Teams or Zoom and use tools like Miro and OneNote, but the core principles of open collaboration, free expression of ideas, and experimentation remain at the center of Voya’s innovation culture.” . From there, you can iterate on the ideas,’’ he says.

Experimentation 127

Experimentation Consulting Technology Machine Learning 127

CIO Business Intelligence

OCTOBER 18, 2023

Gen AI boom in the making Many early and established forays into generative AI are being developed on the AI platforms of cloud leaders Microsoft, Google, and Amazon, reportedly with numerous guardrails and governance measures in place to contain unrestricted exploration.

Risk 134

Risk Manufacturing Enterprise Technology 134

AWS Big Data

NOVEMBER 2, 2023

This is a guest post co-written with Mukul Sharma, Software Development Engineer, and Ozcan IIikhan, Director of Engineering from GoDaddy. GoDaddy benchmark During our initial experimentation, we observed that arm64 on EMR Serverless consistently outperformed or performed on par with x86_64.

Cost-Benefit 91

Cost-Benefit Big Data Testing Optimization 91

AWS Big Data

JANUARY 9, 2024

you can build search query and result processing as a composition of modular processing steps, without complicating your application software. This functionality was initially released as experimental in OpenSearch Service version 2.4, With the general availability of search pipelines, starting in OpenSearch Service version 2.9,

Cost-Benefit 94

Cost-Benefit Visualization Modeling Machine Learning 94

IBM Big Data Hub

OCTOBER 20, 2023

Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development. Better integration An AI platform should also offer user-friendly integrations that facilitate the use of open source software and libraries.

Machine Learning 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

CIO Business Intelligence

AUGUST 17, 2023

“Since the middle of last year, we’ve been analyzing the potential impact, opportunities, and risks of the speed of innovation in this area, as well as introduced policies and implemented measures to minimize risks,” he says. But overall, we see this as a huge opportunity. AI works best when it works together with humans,” says Cosson.

Risk 91

Risk Cost-Benefit Strategy Experimentation 91

CIO Business Intelligence

FEBRUARY 8, 2024

It is important to recognize the role of software pervasiveness in the world today. While we are all keenly aware of the impact of smartphones and generative AI, we must remember that connected software also runs in our cars, televisions, thermostats, and even appliances. Challenging each other to improve and take risks.

Strategy 83

Strategy Experimentation Risk Technology 83

Domino Data Lab

AUGUST 6, 2021

The process of doing data science is about learning from experimentation failures, but inadvertent errors can create enormous risks in model implementation. Doing the practical aspects of implementation and ongoing monitoring of risk requires the use of a software solution called Enterprise Machine Learning Operations (MLOps).

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Smart Data Collective

APRIL 23, 2019

However, productivity is notoriously difficult to measure—and sometimes, even harder to improve. That’s why you need at least one of the following productivity tracking apps that help you measure and track employee productivity consistently. It’s a type of employee monitoring software that can be installed on practically any device.

Big Data 70

Big Data Measurement Experimentation Reporting 70

AWS Big Data

NOVEMBER 14, 2023

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. This has shaped our architecture and helped us shift complexity elsewhere.” – Stoyan Dimkov, Staff Engineer and Software Architect at VMware Carbon Black.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

The Unofficial Google Data Science Blog

MARCH 22, 2018

But what if users don't immediately uptake the new experimental version? Background At Google, experimentation is an invaluable tool for making decisions and inference about new products and features. For example, we might want to stop the process if we measure harmful effects early. What if their uptake rate is not uniform?

Experimentation 62

Experimentation Measurement Modeling Statistics 62

Occam's Razor

NOVEMBER 12, 2006

Mostly because short term goals drive a lot of what we do and if you are selling something on your website then it only seems to make logical sense that we measure conversion rate and get it up as high as we can as fast as we can. So measure Bounce Rate of your website. Even though we should not obsess about conversion rate we do.

Measurement 99

Measurement Analytics Optimization Marketing 99

datapine

FEBRUARY 4, 2020

Management thinker Peter Drucker once stated, “if you can’t measure it, you can’t improve it” – and he couldn’t be more right. Use professional software. To get started, you might want to equip yourself with a marketing BI software to analyze all your data and easily build professional reports.

Reporting 280

Reporting Marketing Advertising Metrics 280

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. You’re changing things fundamentally in how you build and ship software.

Management 110

Management Machine Learning Experimentation Metrics 110

O'Reilly on Data

MARCH 23, 2023

Maybe it’s surprising that ChatGPT can write software, maybe it isn’t; we’ve had over a year to get used to GitHub Copilot, which was based on an earlier version of GPT. What Software Are We Talking About? It isn’t hard to connect it to speech synthesis and speech-to-text software. It has helped to write a book. It’s much more.

IT 258

IT Modeling Testing Risk 258

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. Fine motor skills: It’s conceivable for AGI software to pair with robotics hardware.

Cost-Benefit 91

Cost-Benefit Modeling Manufacturing Interactive 91

Sisense

NOVEMBER 23, 2020

Some challenges still remain, however, such as underdeveloped data capabilities, the ability to clearly articulate a business problem, and then measure the data/technical solution in a quantifiable way. This all contributes to a culture of innovation, experimentation, and exploration. The changing role of the data professional.

Analytics 98

Analytics Data-driven Marketing Reporting 98

AWS Big Data

JULY 26, 2023

You can get started in minutes with the vector engine by creating a specialized vector search collection under OpenSearch Serverless using the AWS Management Console , AWS Command Line Interface (AWS CLI), or the AWS software development kit (AWS SDK). He has a long history of working in the enterprise software and cloud services spaces.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Insight

APRIL 28, 2020

You’ll often see the name “data challenge” used when the take-home assignment involves machine learning or statistics or “coding challenge” when the focus is on evaluating a candidate’s software engineering skills. provide an opportunity to measure both. Length: Highly Variable.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

Domino Data Lab

MAY 8, 2019

Software engineering made major breakthroughs two decades ago by applying reductionist techniques to project planning and management. Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105