IBM Big Data Hub

JULY 5, 2023

However, cloud services costs can be higher than anticipated, so monitoring and optimizing your cloud spend is critical. Cloud cost optimization combines strategies, techniques, best practices and tools to help reduce cloud costs, find the most cost-effective way to run your applications in the cloud environment, and maximize business value.

Optimization 70

Optimization Forecasting ROI Metrics 70

IBM Big Data Hub

APRIL 9, 2024

” Watsonx.data lets organizations optimize workloads for different uses. Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “We also pull in video, which is where we add the commentary and embed it into the clips.”

Management 87

Management IT Machine Learning Metrics 87

IBM Big Data Hub

APRIL 29, 2024

VeloxCon 2024 , the premier developer conference that is dedicated to the Velox open-source project, brought together industry leaders, engineers, and enthusiasts to explore the latest advancements and collaborative efforts shaping the future of data management.

Management 69

Management Optimization Data Processing Metrics 69

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). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 332

Management Machine Learning Experimentation Metrics 332

Cloudera

NOVEMBER 29, 2023

That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments. That’s where the Model Registry steps in. That’s where the Model Registry steps in.

Modeling 84

Modeling Machine Learning Metadata Metrics 84

Cloudera

JULY 21, 2022

Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Deploying metrics shouldn’t be so hard. Rill solves this with pipeline services and Rill Developer, a free SQL-based data modeler.

Metrics 83

Metrics Slice and Dice Data Warehouse Dashboards 83

Smart Data Collective

FEBRUARY 9, 2022

Luckily, there are a few analytics optimization strategies you can use to make life easy on your end. Let’s dive right into how DirectX visualization can boost analytics and facilitate testing for you as an Algo-trader, quant fund manager, etc. Enables animation and object modeling of 3D charts for better analysis and testing.

Visualization 133

Visualization Optimization Analytics Testing 133

AWS Big Data

JUNE 27, 2023

Our previous solution offered visualization of key metrics, but point-in-time snapshots produced only in PDF format. In this post, we discuss how we built a solution using QuickSight that delivers real-time visibility of key metrics to public sector recruiters. We can pick what we need, and use what we need with pay-as-you-go pricing.

Metrics 98

Metrics Dashboards Interactive Visualization 98

Smart Data Collective

SEPTEMBER 21, 2021

A growing number of businesses are starting to look for new data-driven approaches to streamline their business models. However, your data-driven business model won’t be very helpful if you don’t focus on the right metrics. Targeting the Right Variables for Your Data-Driven Retail Business Model.

Data-driven 107

Data-driven Metrics Sales Big Data 107

O'Reilly on Data

JULY 28, 2020

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 362

Marketing Experimentation Metrics Testing 362

O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Before I continue, it’s important to emphasize that machine learning is much more than building models. Model lifecycle management.

Machine Learning 220

Machine Learning Risk Management Statistics 220

CIO Business Intelligence

AUGUST 29, 2023

Interest in Value Stream Management (VSM) has never been higher – and for good reason. Recently I had the opportunity to speak at the Six Five Summit regarding Value Stream management and how it can help companies accelerate their transformational journey. VSM is very much driven by digital transformation.

Management 98

Management Digital Transformation Measurement Software 98

Decision Management Solutions

APRIL 22, 2020

In fact, they kicked off the project by saying that reducing fraud was the only metric that mattered to them – we just had to reduce the total value of fraudulent transactions. And even if, somehow, you manage to wrap your brain around the trade offs and come up with a “best” strategy, the world won’t stay still.

Optimization 66

Optimization Strategy Metrics Modeling 66

Jedox

JUNE 24, 2021

Typical metrics such as impressions, unique website visitors, raw and qualified leads, sales growth, sales target and target achievement, customer acquisition costs, customer churn rate, sales cycle length are among the ever-growing list of marketing metrics becoming commonly used. The evolution of marketing data.

Sales 95

Sales Marketing Optimization Metrics 95

CIO Business Intelligence

MAY 21, 2024

Epicor Grow Inventory Forecasting provides predictive analytics and model “what-if” scenarios to better manage inventories with purpose-built, machine-learning-driven, embedded forecasting engines coming from Epicor’s acquisition of Smart Software. Epicor is putting its R&D efforts into AI and data management.

Forecasting 125

Forecasting Predictive Analytics Machine Learning Data-driven 125

IBM Big Data Hub

JULY 25, 2023

Smart grids turn this model on its head. Sensors and automation devices: These are installed throughout the grid to monitor voltage, current, and load capacity (among other metrics). To manage, analyze and interpret this data, utilities rely on advanced software and analytics tools.

Optimization 61

Optimization Technology Measurement Cost-Benefit 61

O'Reilly on Data

JUNE 15, 2023

The world changed on November 30, 2022 as surely as it did on August 12, 1908 when the first Model T left the Ford assembly line. If we want prosocial outcomes, we need to design and report on the metrics that explicitly aim for those outcomes and measure the extent to which they have been achieved.

Metrics 284

Metrics Reporting Measurement Finance 284

CIO Business Intelligence

JANUARY 30, 2024

On the other hand, there are organizations with teams that are equipped with value-based plans and metrics. In this way, teams gain the ability to optimize value delivery and adapt more quickly. These digital operating models help enhance visibility, foster trust, and deliver tangible value. Digital Transformation

Digital Transformation 140

Digital Transformation Metrics Enterprise Optimization 140

Decision Management Solutions

APRIL 8, 2020

Over the last few weeks we’ve blogged a couple of times on Decision Optimization. The Customer Journey to Decision Optimization. Instead of arguing about decision-making, you can model decision-making. You can develop what are called Decision Requirements Models using the Decision Model and Notation standard.

Modeling 72

Modeling Optimization Metrics Testing 72

CIO Business Intelligence

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents. The second best time is now.”

Strategy 116

Strategy Management Key Performance Indicator ROI 116

CIO Business Intelligence

APRIL 27, 2023

At this time of dynamic business and market changes, uncertainty, and quickly evolving consumption models for IT infrastructure, every IT executive understands the benefits and necessity of network agility. It also provides an easier way to implement and manage automation tools throughout a network. web UI, APIs, mobile).

Management 98

Management Internet of Things Cost-Benefit Uncertainty 98

AWS Big Data

APRIL 11, 2023

Inventory management is a critical function for any business that deals with physical products. The primary challenge businesses face with inventory management is balancing the cost of holding inventory with the need to ensure that products are available when customers demand them.

Forecasting 79

Forecasting Management IoT Data-driven 79

CIO Business Intelligence

MAY 31, 2022

What is business process management? Business process management (BPM) is the practice of discovering and controlling an organization’s processes to align them with business goals as the business evolves. Business process management definition. Business process management goals and benefits. The key to enterprise agility.

Enterprise 104

Enterprise Management Interactive Software 104

Smart Data Collective

SEPTEMBER 17, 2020

One of the most important benefits of data analytics with lead generation and optimization. Good pipeline software that manages your pipeline will boost sales revenue by as much as 30 percent while making the most profit out of it. Monitor the Metrics. Big data is utilized in many facets of business.

Optimization 105

Optimization Data Analytics Analytics Sales 105

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

CIO Business Intelligence

NOVEMBER 20, 2023

Well-known metrics, such as deployment frequency, are useful when it comes to tracking teams but not individuals. The developer productivity metrics that matter most The reason we believe this is that we are working with 20 tech, finance, and pharmaceutical companies that are doing it. So, it’s complicated. Contribution analysis.

Measurement 126

Measurement Metrics Software Testing 126

IBM Big Data Hub

AUGUST 7, 2023

More than ever, companies are finding that managing these interdependent journeys in a holistic and integrated way is essential to their success in achieving change. AI can also empower trial managers and executives with the data to make strategic decisions. To do so they require data, which is in no shortage.

Optimization 59

Optimization Forecasting Data-driven Strategy 59

CIO Business Intelligence

JANUARY 10, 2024

Migrating infrastructure and applications to the cloud is never straightforward, and managing ongoing costs can be equally complicated. Refactor your applications to take advantage of web services or serverless capabilities, and re-architect your infrastructure to optimize resource usage,” he says.

Cost-Benefit 124

Cost-Benefit Measurement Optimization Metrics 124

TDAN

MAY 15, 2024

In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm optimization, overshadowing the core business objectives that originally spurred these initiatives.

Business Objectives 52

Business Objectives Metrics Analytics Optimization 52

DataRobot Blog

SEPTEMBER 1, 2022

For example, a recent IDC study 1 shows that it takes about 290 days on average to deploy a model into production from start to finish. Once you move your model into production, you need to monitor and manage your models to ensure that you can trust predictions and turn them into the right business decisions.

Metrics 145

Metrics Statistics Modeling Data Science 145

CIO Business Intelligence

FEBRUARY 13, 2023

Six Sigma is a quality management methodology used to help businesses improve current processes, products, or services by discovering and eliminating defects. Six Sigma is specifically designed to help large organizations with quality management. What is Six Sigma? Six Sigma was trademarked by Motorola in 1993.

Management 97

Management Statistics Manufacturing Measurement 97

O'Reilly on Data

APRIL 23, 2024

In the discussion following the talk, Simon noted that in the future, information would be so abundant that we would need machines to help us manage our attention. Instead of continuing to deploy their attention optimization algorithms for their users’ and suppliers’ benefit, the tech giants began to use them to favor themselves.

Advertising 270

Advertising Cost-Benefit Marketing Risk 270

Occam's Razor

APRIL 8, 2013

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. This should not be news to you. But it is not routine.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Domino Data Lab

SEPTEMBER 10, 2020

Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into decent features for models, not to mention many cycles of training, tuning, and tweaking models so they’re performant. Certainly, organizations need to hire expert data science professionals.

Modeling 101

Modeling IT Data Science Experimentation 101

IBM Big Data Hub

OCTOBER 26, 2023

That much investment has necessitated the FinOps movement , a cloud financial management discipline designed to bring financial accountability to the variable, consumption-based spend model of cloud. Together, these solutions help enable clients to achieve an end-to-end FinOps lifecycle : inform, optimize and operate.

Cost-Benefit 73

Cost-Benefit Optimization Metrics Data Processing 73

Cloudera

OCTOBER 20, 2021

As governments gather to push forward climate and renewable energy initiatives aligned with the Paris Agreement and the UN Framework Convention on Climate Change, financial institutions and asset managers will monitor the event with keen interest. How do institutions protect and optimize their balance sheets and portfolios?

Risk 78

Risk Modeling Risk Management Measurement 78

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81