Rocket-Powered Data Science

FEBRUARY 15, 2023

encouraging and rewarding) a culture of experimentation across the organization. These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises. Test early and often. Launch the chatbot.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

OCTOBER 15, 2024

Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. It may surprise you, but DevOps has been around for nearly two decades.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

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. Their top predictions include: Most enterprises fixated on AI ROI will scale back their efforts prematurely.

ROI 127

ROI Data-driven Enterprise Experimentation 127

CIO Business Intelligence

DECEMBER 17, 2024

While genAI has been a hot topic for the past couple of years, organizations have largely focused on experimentation. Change management creates alignment across the enterprise through implementation training and support. Click here to learn more about how you can advance from genAI experimentation to execution.

Experimentation 98

Experimentation ROI Risk Data Quality 98

DataKitchen

JANUARY 20, 2021

As DataOps activity takes root within an enterprise, managers face the question of whether to build centralized or decentralized DataOps capabilities. Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Develop/execute regression testing . Agile ticketing/Kanban tools.

Metrics 243

Metrics Experimentation Measurement Testing 243

CIO Business Intelligence

MAY 9, 2024

How AI solves two problems in every company Every company, from “two people in a garage” startups to SMBs to large enterprises, faces two key challenges when it comes to their people and processes: thought scarcity and time scarcity. Experimentation drives momentum: How do we maximize the value of a given technology?

Enterprise 122

Enterprise Experimentation Sales Manufacturing 122

CIO Business Intelligence

MARCH 5, 2025

Two years of experimentation may have given rise to several valuable use cases for gen AI , but during the same period, IT leaders have also learned that the new, fast-evolving technology isnt something to jump into blindly. The next thing is to make sure they have an objective way of testing the outcome and measuring success.

Testing 99

Testing Measurement Technology Experimentation 99

CIO Business Intelligence

NOVEMBER 7, 2024

It’s federated, so they sit in the different business units and come together as a data community to harness our full enterprise capabilities. We bring those two together in executive data councils, at the individual business unit level, and at the enterprise level. We are also testing it with engineering.

Insurance 120

Insurance Experimentation Testing Technology 120

Corinium

JUNE 6, 2019

Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

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

AWS Big Data

NOVEMBER 19, 2024

Customers maintain multiple MWAA environments to separate development stages, optimize resources, manage versions, enhance security, ensure redundancy, customize settings, improve scalability, and facilitate experimentation. He works in the financial services industry, supporting enterprises in their cloud adoption.

Metadata 106

Metadata Cost-Benefit Metrics Optimization 106

CIO Business Intelligence

MARCH 7, 2023

While the technology is still in its early stages, for some enterprise applications, such as those that are content and workflow-intensive, its undeniable influence is here now — but proceed with caution. Michal Cenkl, director of innovation and experimentation, Mitre Corp. You can’t just plug that code in without oversight.

Enterprise 116

Enterprise IT Unstructured Data Experimentation 116

CIO Business Intelligence

JANUARY 9, 2024

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many We’re using our own databases, testing against our own needs, and building around specific problem sets.

Enterprise 119

Enterprise Experimentation Modeling Data-driven 119

O'Reilly on Data

OCTOBER 13, 2020

In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing. During testing and evaluation, application performance is important, but not critical to success. require not only disclosure, but also monitored testing. Debugging AI Products.

Management 314

Management Machine Learning Metrics Modeling 314

CIO Business Intelligence

JULY 12, 2024

They’ve also been using low-code and gen AI to quickly conceive, build, test, and deploy new customer-facing apps and experiences. In particular, Ulta utilizes an enterprise low-code AI platform from Iterate.ai, called Interplay. But this doesn’t mean you can just test forever. It’s a journey we’re still on,” Pacynski says.

Experimentation 124

Experimentation Testing Enterprise Strategy 124

CIO Business Intelligence

OCTOBER 3, 2024

As the Generative AI (GenAI) hype continues, we’re seeing an uptick of real-world, enterprise-grade solutions in industries from healthcare and finance, to retail and media. Medium companies Medium-sized companies—501 to 5,000 employees—were characterized by agility and a strong focus on GenAI experimentation.

Cost-Benefit 129

Cost-Benefit Testing Experimentation Risk 129

Rocket-Powered Data Science

OCTOBER 16, 2020

We build models to test our understanding, but these models are not “one and done.” How To Build A Successful Enterprise Data Strategy. In my chat with Joe, we talked about many data concepts in the context of enterprise digital transformation. They are part of a cycle of learning. Data Leadership.

Digital Transformation 142

Digital Transformation Experimentation Data Science Data Strategy 142

bridgei2i

APRIL 28, 2020

PODCAST: COVID 19 | Redefining Digital Enterprises. In this episode, best-selling author and expert on Infonomics, Doug Laney delves into how enterprises can navigate their way out of the crisis by leveraging data. Despite the downturn in the market, Doug explains that enterprises should focus on data and analytics investments.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

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?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

SEPTEMBER 12, 2024

If the code isn’t appropriately tested and validated, the software in which it’s embedded may be unstable or error-prone, presenting long-term maintenance issues and costs. Provide end-user training on using enterprise-grade applications and platforms with integrated generative AI.

Experimentation 111

Experimentation Risk Cost-Benefit Strategy 111

CIO Business Intelligence

OCTOBER 17, 2024

] Forty-one percent of organizations adopted and used digital platforms for all or most functions in 2024, compared with just 26% in 2023, according to IDC’s May 2024 Future Enterprise Resiliency and Spending Survey, Wave 5. Implement robust testing: As the CrowdStrike incident demonstrated, thorough testing is crucial.

Risk 108

Risk Experimentation Testing Strategy 108

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

Cloudera

SEPTEMBER 18, 2024

More and more enterprises are leveraging pre-trained models for various applications, from natural language processing to computer vision. As part of this evaluation process with InDaiX, Cloudera is conducting workshops with end users to better understand the practical use cases that enterprises are hoping to use AI for.

Data-driven 91

Data-driven Optimization Experimentation Testing 91

CIO Business Intelligence

AUGUST 23, 2024

Like most enterprises, Bayer’s agricultural division will initially use AWS-based generative AI tools out-of-the-box to automate basic business processes, such as the production of internal technical documentation, McQueen says. Making that available across the division will spur more robust experimentation and innovation, he notes.

Data Science 101

Data Science Experimentation Testing Modeling 101

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

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

CIO Business Intelligence

AUGUST 20, 2024

But most enterprises can’t operate like young startups with complete autonomy handed over to devops and data science teams. CIOs need to create a clear vision and articulate and model the organization’s values to drive alignment and culture.”

IT 141

IT Digital Transformation Experimentation Risk 141

CIO Business Intelligence

JUNE 15, 2023

Despite headlines warning that artificial intelligence poses a profound risk to society , workers are curious, optimistic, and confident about the arrival of AI in the enterprise, and becoming more so with time, according to a recent survey by Boston Consulting Group (BCG). For many, their feelings are based on sound experience.

Management 116

Management Experimentation Optimization Enterprise 116

CIO Business Intelligence

MARCH 7, 2023

While many organizations are successful with agile and Scrum, and I believe agile experimentation is the cornerstone of driving digital transformation, there isn’t a one-size-fits-all approach. Release an updated data viz, then automate a regression test.

Digital Transformation 145

Digital Transformation Data Governance Machine Learning Experimentation 145

CIO Business Intelligence

APRIL 25, 2024

With more than 1 billion users globally, LinkedIn is continuously bumping against the limits of what is technically feasible in the enterprise today. Fits and starts As most CIOs have experienced, embracing emerging technologies comes with its share of experimentation and setbacks.

IT 139

IT Cost-Benefit Experimentation Metrics 139

CIO Business Intelligence

OCTOBER 8, 2024

An IBM report based on the survey, “6 blind spots tech leaders must reveal,” describes the huge expectations that modern IT leaders face: “For technology to deliver enterprise-wide business outcomes, tech leaders must be part mastermind, part maestro,” the report says. So what’s the deal? But, in many cases, this isn’t happening. “IT

IT 140

IT Strategy Experimentation Technology 140

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

CIO Business Intelligence

MAY 1, 2024

People want to see it be real this year,” says Bola Rotibi, chief of enterprise research at CCS Insight. Pilots can offer value beyond just experimentation, of course. Organic growth Some of Microsoft’s original test customers have already moved from pilot to broad deployment.

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

CIO Business Intelligence

DECEMBER 19, 2023

First, enterprises have long struggled to improve customer, employee, and other search experiences. The 2023 Enterprise Search: The Unsung Hero report found that 98% of organizations say they are improving search capabilities on portals, CRM tools, ecommerce sites, and online communities.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

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. Do they have the machine learning platforms (such as NVIDIA AI Enterprise) ,infrastructure access, and ongoing training time to improve their data science practices?

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

CIO Business Intelligence

JULY 1, 2024

Veera Siivonen, CCO and partner at Saidot, argued for a “balance between regulation and innovation, providing guardrails without narrowing the industry’s potential for experimentation” with the development of artificial intelligence technologies.

Reporting 129

Reporting Risk Management Experimentation Risk 129

CIO Business Intelligence

OCTOBER 21, 2024

“Legacy systems and bureaucratic structures hinder the ability to iterate and experiment rapidly, which is critical for developing and testing innovative solutions. Slow progress frustrates teams and discourages future experimentation.” Those, though, aren’t the only ways legacy tech can hurt innovation.

IT 137

IT Experimentation Cost-Benefit Consulting 137