CIO Business Intelligence

MARCH 7, 2023

Something that produces libraries and software is no different than searching GitHub,” he says. “We Oliver Wittmaier, CIO and product owner at DB SYSTEL GmbH DB SYSTEL GmbH Content generation is also an area of particular interest to Michal Cenkl, director of innovation and experimentation at Mitre Corp. “I

Enterprise 116

Enterprise IT Experimentation Unstructured Data 116

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 332

Management Machine Learning Experimentation Metrics 332

IBM Big Data Hub

DECEMBER 14, 2023

Platform engineering, internal development platform – Platform engineering is at the forefront of modern software development, driving innovation and collaboration across teams. The extension of the CIO office’s dedicated data center to the IBM public cloud allowed for experimentation and growth with zero risk.

Experimentation 69

Experimentation Testing Software Management 69

Octopai

MAY 2, 2022

Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. Just-in-Time” manufacturing increases production while optimizing resources. Issue detected?

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

CIO Business Intelligence

OCTOBER 18, 2023

in concert with Microsoft’s AI-optimized Azure platform. Additionally, Flint Hill Resources is deploying the LLM-based platform for commodity trading optimization, while the US Missile Defense Agency is employing it to improve safety during steel manufacturing, according to C3. John Spottiswood, COO of Jerry, a Palo Alto, Calif.-based

Risk 141

Risk Manufacturing Enterprise Technology 141

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 93

Cost-Benefit Modeling Manufacturing Interactive 93

CIO Business Intelligence

JUNE 27, 2022

I had a chance to ask Cramer some questions about continuous shipment, software development, building a startup, and more. Cramer: I’ve always been a builder, and software was a really natural fit for me. Would you talk a bit about the performance product and tracing software performance? We rely heavily on automated testing.

Software 115

Software Experimentation Testing Marketing 115

FineReport

DECEMBER 11, 2019

The big news is that we no longer need to be proficient in math or statistics, or even rely on expensive modeling software to analyze customers. Follow FineReport Reporting Software on Facebook to know more about data visualization! – Data Divination: Big Data Strategies. Data analysis is setting off a revolution.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

O'Reilly on Data

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.

IT 346

IT Testing Experimentation Software 346

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. 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

DataKitchen

APRIL 13, 2021

Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Testing and Data Observability. Production Monitoring and Development Testing.

Testing 300

Testing Machine Learning Consulting Data Quality 300

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times.

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

datapine

MAY 20, 2020

CRM software will help you do just that. 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. Try our professional dashboard software for 14 days, completely free! Let’s begin. Follow-Up Contact Rate.

Dashboards 265

Dashboards Reporting KPI Visualization 265

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. Length: Highly Variable. Teams new to hiring often make this mistake of creating long multi-stage screening processes.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. IT leaders are exploring how different gen AI tools transform the software development lifecycle.

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

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 Experimentation Machine Learning 145

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. What Software Are We Talking About? It was not optimized to provide correct responses.

IT 262

IT Modeling Testing Risk 262

AWS Big Data

JULY 3, 2023

This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. Solution overview To set up and test this experiment, we complete the following high-level steps: Create an S3 bucket. Load the dataset into Amazon S3.

Snapshot 86

Snapshot Data Lake Testing Strategy 86

Occam's Razor

NOVEMBER 12, 2006

And no that is not Visits or Total Visitors in the denominator, for my perspective on why that is sub-optimal click here and read the part about Why use Unique Visitors.]. The problem is that you are there just to look at the car, maybe take it for a test drive. For exhaustive details click here. You really don’t want to be sold.

Measurement 99

Measurement Analytics Optimization Marketing 99

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. You can start for free with a superb tool: Google's Website Optimizer. For example I am quite fond of the fact that with Offermatica you can "trigger" tests based on behavior. I cannot recommend enough the wisdom of starting with a A/B test.

Testing 112

Testing Experimentation Risk Optimization 112

O'Reilly on Data

JULY 25, 2023

I really wanted to go beyond these quick gut reactions that I’ve seen so much of online, so I tried using ChatGPT for a few weeks to help me implement a hobby software project and took notes on what I found interesting. or “ha look how incompetent it is … it couldn’t even get my simple question right!”

Consulting 246

Consulting Interactive Software IT 246

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.

Management 97

Management Experimentation Data Science Modeling 97

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. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110

Alation

DECEMBER 14, 2021

These systems offer numerous web-centric features that bolster customer service and engagement, provide server scalability during periods of fluctuating traffic, and allow easy experimentation with new technologies and promotional strategies. Optimized business continuity. What is cloud-optimized? Cloud testing.

Cost-Benefit 52

Cost-Benefit Data Processing Optimization Consulting 52

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. The following examples are also available in the sample notebook in the aws-samples GitHub repo for quick experimentation.

Data Lake 86

Data Lake Snapshot Metadata Optimization 86

datapine

FEBRUARY 4, 2020

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. Using this data can provide insights on whether your investments are stable or need more optimization to deliver specified targets.

Reporting 280

Reporting Marketing Advertising Metrics 280

Occam's Razor

AUGUST 12, 2013

We have fought valiant battles, paid expensive consultants, purchased a crazy amount of software, and achieved an implementation high that is quickly, followed by a " gosh darn it where is my return on investment from all this?" Understand why I believe that as designed the default position based model is sub-optimal.

Modeling 161

Modeling Optimization Marketing Interactive 161

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

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. Such decisions involve an actual hypothesis test on specific metrics (e.g.

Experimentation 68

Experimentation Sales Metrics Measurement 68

Domino Data Lab

JULY 2, 2019

SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. Armies of software engineers, heads down in their IDEs 24/7—does it really have to be this way? Software writes Software? Done and done. SQL and Spark.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

MAY 8, 2019

Software engineering made major breakthroughs two decades ago by applying reductionist techniques to project planning and management. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Quick summary: there’s a persnickety problem.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Cloudera

JUNE 6, 2019

This strategy works well for managing internal chargebacks, limiting the impact of less sophisticated users on more experienced users, and overall encouraging individuals to think about and optimize their jobs and queries now that they have a smaller (but dedicated) cluster. 2) By workload type. 3) By workload priority.

Metadata 85

Metadata Data Lake Optimization Strategy 85

Occam's Razor

AUGUST 23, 2010

Why comes from lab usability studies , website surveys , "follow me home" exercises, experimentation & testing , and other such delightful endeavors. I know that you even realize Why is ever easier to accomplish (usability studies are economical, surveys and testing platforms start at the sweet price of free!).

Analytics 116

Analytics Cost-Benefit Testing Optimization 116

Occam's Razor

MARCH 23, 2010

My problem with these mistruths and FUD is that they result in a ton of practitioners and companies making profoundly sub optimal choices, which in turn results in not just much longer slogs but also spectacular career implosions and the entire web analytics industry suffering. Usually at least a test. This is sad. Likely not.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Domino Data Lab

AUGUST 26, 2019

This control prevents overfitting and reduction in predictive accuracy on new test data. When hyperparameters are also used for optimization and tuned for a specific dataset, they also impact predictive accuracy. Searching is a very general approach to solving or optimizing problems. We need some sort of well-defined process?

Testing 79

Testing Modeling Machine Learning Metrics 79

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. Your Chance: Want to try a professional BI analytics software? BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

AUGUST 1, 2023

Justin Rodenbostel, EVP at SPR, says, “Search for opportunities to leverage GPT-4 and LLM for optimizing activities like customer support, especially regarding automating tasks and analyzing large quantities of unstructured data.” First, CIOs should evaluate how ChatGPT and other generative AIs impact coding and software development.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98