Smart Data Collective

OCTOBER 13, 2022

These patterns could then be used as the basis for additional experimentation by scientists or engineers. Generative design is a new approach to product development that uses artificial intelligence to generate and test many possible designs. Assembly Line Optimization. Automated Testing of Features. Generative Design.

Testing 128

Testing Cost-Benefit Experimentation Optimization 128

CIO Business Intelligence

JANUARY 6, 2025

Deliver value from generative AI As organizations move from experimenting and testing generative AI use cases , theyre looking for gen AI to deliver real business value. Its more about optimizing and maximizing the value were getting out of gen AI, she says. Ronda Cilsick, CIO of software company Deltek, is aiming to do just that.

IT 140

IT Cost-Benefit Measurement Experimentation 140

CIO Business Intelligence

JANUARY 14, 2025

By articulating fitness functions automated tests tied to specific quality attributes like reliability, security or performance teams can visualize and measure system qualities that align with business goals. Experimentation: The innovation zone Progressive cities designate innovation districts where new ideas can be tested safely.

Enterprise 119

Enterprise Technology Metrics Measurement 119

CIO Business Intelligence

OCTOBER 24, 2024

As they look to operationalize lessons learned through experimentation, they will deliver short-term wins and successfully play the gen AI — and other emerging tech — long game,” Leaver said. The rest of their time is spent creating designs, writing tests, fixing bugs, and meeting with stakeholders. “So

ROI 127

ROI Data-driven Enterprise Experimentation 127

O'Reilly on Data

SEPTEMBER 15, 2020

Likewise, AI doesn’t inherently optimize supply chains, detect diseases, drive cars, augment human intelligence, or tailor promotions to different market segments. Results are typically achieved through a scientific process of discovery, exploration, and experimentation, and these processes are not always predictable.

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

Smart Data Collective

JULY 9, 2023

One benefit is that they can help with conversion rate optimization. Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. Experimentation is the key to finding the highest-yielding version of your website elements.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

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. Whether you’re looking at consumer management dashboards and reports, every CRM dashboard template you use should be optimal in terms of design.

Dashboards 265

Dashboards Reporting KPI Visualization 265

CIO Business Intelligence

MAY 21, 2025

It can even be used for controlled experimentation, assuming you can make it accurate enough. Sufficiently accessible and accurate tools could deliver operational improvements and revenue, as well as optimized costs and reduced risks in many areas of business decision making.

Statistics 104

Statistics Testing Modeling Risk 104

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). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Cloudera

SEPTEMBER 18, 2024

Unique Data Integration and Experimentation Capabilities: Enable users to bridge the gap between choosing from and experimenting with several data sources and testing multiple AI foundational models, enabling quicker iterations and more effective testing.

Data-driven 91

Data-driven Optimization Experimentation Testing 91

O'Reilly on Data

MARCH 31, 2020

This has serious implications for software testing, versioning, deployment, and other core development processes. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies.

Management 363

Management Machine Learning Experimentation Metrics 363

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. You're choosing only one metric because you want to optimize it. Testing out a new feature. Identify, hypothesize, test, react. You don’t need a beautiful beast to go out and test.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

CIO Business Intelligence

APRIL 12, 2024

Large banking firms are quietly testing AI tools under code names such as as Socrates that could one day make the need to hire thousands of college graduates at these firms obsolete, according to the report. But that’s just the tip of the iceberg for a future of AI organizational disruptions that remain to be seen, according to the firm.

Experimentation 143

Experimentation Reporting Testing Statistics 143

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. This methodology of “test, look at the data, adjust” is at the heart and soul of business intelligence. Your Chance: Want to try a professional BI analytics software? Let’s see it with a real-world example.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

O'Reilly on Data

MARCH 23, 2023

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. It was not optimized to provide correct responses. It has helped to write a book.

IT 349

IT Modeling Testing Risk 349

Occam's Razor

AUGUST 12, 2013

The outcome in either scenario is a restructuring of the organization that is exquisitely geared towards taking advantage of portfolio optimization. You should not treat your marketing optimization program with the same level of outcome optimization that is applied to five-year-olds. From a Venn -diagram. Who would have thunk?].

Modeling 162

Modeling Optimization Marketing Interactive 162

Smart Data Collective

JUNE 29, 2022

Test Different Calls-to-Action. You will need to test different CTAs, which is going to require data analytics tools. Many email marketing solutions such as Hubspot and Aweber have analytics interfaces that make it easier to test different elements in your marketing funnels, such as CTAs. Test, Test, Test.

B2B 124

B2B Data-driven Marketing Strategy 124

CIO Business Intelligence

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

CIO Business Intelligence

MAY 9, 2024

Experimentation drives momentum: How do we maximize the value of a given technology? Via experimentation. This can be as simple as a Google Sheet or sharing examples at weekly all-hands meetings Many enterprises do “blameless postmortems” to encourage experimentation without fear of making mistakes and reprisal.

Enterprise 122

Enterprise Experimentation Sales Manufacturing 122

Occam's Razor

SEPTEMBER 19, 2011

We have to do Search Engine Optimization. Then they isolated regions of the country (by city, zip, state, dma pick your fave) into test and control regions. People in the test regions will participate in our hypothesis testing. So for variation #3, no catalogs or email were sent to the customers in the test group.

Measurement 120

Measurement Advertising Testing Marketing 120

Cloudera

MARCH 2, 2022

You can read previous blog posts on Impala’s performance and querying techniques here – “ New Multithreading Model for Apache Impala ”, “ Keeping Small Queries Fast – Short query optimizations in Apache Impala ” and “ Faster Performance for Selective Queries ”. . Analytical SQL workloads use aggregates and joins heavily.

Data Warehouse 89

Data Warehouse Optimization Analytics Sales 89

CIO Business Intelligence

MARCH 12, 2024

Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others. Gen AI is also reducing the time needed to complete testing, via automation, Ramakrishnan says.

Software 131

Software Experimentation Testing Cost-Benefit 131

AWS Big Data

SEPTEMBER 5, 2024

A more advanced method is to combine traditional inverted-index(BM25) based retrieval, but this approach requires spending a considerable amount of time customizing lexicons, synonym dictionaries, and stop-word dictionaries for optimization. Experimental data selection For retrieval evaluation, we used to use the datasets from BeIR.

Metrics 110

Metrics Testing Experimentation Modeling 110

CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

CIO Business Intelligence

JANUARY 24, 2025

Engagement with leadership and upskilling for personnel help develop the conditions for AI innovation and experimentation to take place, she says. And it uses AI to automate code testing and other aspects of the digital development lifecycle. Along the way, the company decides whether to build or buy a solution for each use case.

Digital Transformation 59

Digital Transformation B2B Testing Experimentation 59

Decision Management Solutions

MARCH 26, 2020

We’ve been blogging recently on Decision Optimization. The Customer Journey to Decision Optimization. Those trying to improve and optimize their decisions report various challenges. Experimentation at the beginning of your journey is essential to make sure you understand where you are starting.

Experimentation 72

Experimentation Recreation/Entertainment Optimization Testing 72

Rocket-Powered Data Science

OCTOBER 16, 2020

We build models to test our understanding, but these models are not “one and done.” Specifically, is it a detection problem (fraud or emergent behavior), a discovery problem (new customers or new opportunities), a prediction problem (what will happen) or an optimization problem (how to improve outcomes)? (3)

Digital Transformation 142

Digital Transformation Experimentation Data Science Data Strategy 142

CIO Business Intelligence

JUNE 15, 2023

BCG asked 12,898 frontline employees, managers, and leaders in large organizations around the world how they felt about AI: 61% listed curiosity as one of their two strongest feelings, 52% listed optimism, 30% concern, and 26% confidence. Despite BCG’s findings of optimism in the workforce, there’s a darker side.

Management 116

Management Experimentation Optimization Enterprise 116

CIO Business Intelligence

AUGUST 20, 2024

They must define target outcomes, experiment with many solutions, capture feedback, and seek optimal paths to delivering multiple objectives while minimizing risks. This shift in focus requires teams to understand business strategy, market trends, customer needs, and value propositions.

IT 141

IT Digital Transformation Experimentation Risk 141

CIO Business Intelligence

MARCH 7, 2023

Agile for hybrid teams optimizing low-code experiences The agile manifesto is now 22 years old and was written when IT departments struggled with waterfall project plans that often failed to complete, let alone deliver business outcomes. Release an updated data viz, then automate a regression test.

Digital Transformation 145

Digital Transformation Data Governance Machine Learning Experimentation 145

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. We offer two examples where this may be the case.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

CIO Business Intelligence

NOVEMBER 7, 2022

A developing playbook of best practices for data science teams covers the development process and technologies for building and testing machine learning models. Have business leaders defined realistic success criteria and areas of low-risk experimentation? Are data science teams set up for success?

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

Domino Data Lab

MARCH 20, 2019

Models are so different from software — e.g., they require much more data during development, they involve a more experimental research process, and they behave non-deterministically — that organizations need new products and processes to enable data science teams to develop, deploy and manage them at scale. In addition to Datasets, Domino 3.3

Management 97

Management Experimentation Data Science Modeling 97

Domino Data Lab

OCTOBER 14, 2020

Experimentation and collaboration are built into the core of the platform. This ability enhances the efficiency of operational management and optimizes the cost of experimentation. And because it’s parquet, we get all the benefits of parquet, including self-describing schema and IO optimizations. Why Petastorm?

Experimentation 99

Experimentation Deep Learning Modeling Testing 99

CIO Business Intelligence

JUNE 14, 2023

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Occam's Razor

MAY 15, 2006

IMHO these "buzzy" metrics might be a sub optimal use of time/resources if we don't first have a hard core understanding of customer satisfaction and task completion on our websites. Experimentation/Testing (the latest new and cool thing to do, a/b or multivariate). Surveying (the grand daddy of them all).

Metrics 100

Metrics Experimentation Testing Interactive 100