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

CIO Business Intelligence

DECEMBER 19, 2023

With our team’s strong understanding of every service within our catalog, we can quickly adapt to client needs and optimize output for success,” Cziomer says. Service delivery excellence is an attribute that far too many IT leaders fail to prioritize. But is your organization doing all it can to ensure service delivery excellence?

IT 139

IT Testing Metrics Optimization 139

Smart Data Collective

FEBRUARY 9, 2022

Luckily, there are a few analytics optimization strategies you can use to make life easy on your end. For instance, they display trend lines, pivot points, low volatility and other metrics in distinct colors. A powerful back-testing engine: It allows you to generate performance metrics for multiple stocks at the touch of a button.

Visualization 133

Visualization Optimization Analytics Testing 133

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 86

Management IT Machine Learning Metrics 86

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 87

Metrics Slice and Dice Data Warehouse Dashboards 87

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 86

Modeling Machine Learning Metadata Metrics 86

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 110

Data-driven Metrics Sales Big Data 110

Smart Data Collective

AUGUST 16, 2021

Crazy Egg, Google Analytics, Voluum and other analytics tools make it a lot easier to create a well-optimized and profitable business. Analytics data can be very useful for companies trying to create profitable online business models. This metric is the average number you have to put in to get new customers. Conversion Rate.

Metrics 131

Metrics Analytics Cost-Benefit Sales 131

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 96

Metrics Dashboards Interactive Visualization 96

Smart Data Collective

AUGUST 17, 2021

Many companies have found that analytics technology is ideal for optimizing their business models in a number of ways. The best way to measure and analyze the growth of a business is to use business metrics. There are a lot of data analytics tools that track these metrics and help businesses make more informed decisions.

Measurement 122

Measurement Optimization Analytics Metrics 122

Smart Data Collective

APRIL 1, 2020

Big data is the lynchpin of the Software as a Service (SaaS) business model. Panoply, a big data innovator, has talked about a new model called Data as a Service, which is a variation of the same idea. Big data is used at every junction of the SaaS model. SaaS Model Relies on Big Data Innovation. So, are you ready?

Metrics 101

Metrics Big Data Machine Learning Optimization 101

IBM Big Data Hub

AUGUST 15, 2023

The scale serves as your trusted navigator, providing tangible metrics and keeping you on track. Similarly, comprehending the savings realized in a cloud-cost-optimization journey offers valuable insights into the impact of your efforts. It also captures the impact from optimizing popular PaaS services like Azure App Service.

Optimization 64

Optimization Measurement Cost-Benefit Dashboards 64

O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

OCTOBER 23, 2023

CIOs and their IT teams have enjoyed a bump in power and prestige in recent years, as the C-suite has embraced continuous transformation, digital everything, and a host of emerging technologies — all enabled by IT. Yet many IT departments are struggling to reshape themselves to better meet the mandates of today. IT needs to go beyond that.

IT 137

IT Consulting Scorecard Key Performance Indicator 137

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. What’s going on? Boosting your odds of success.

Modeling 101

Modeling IT Data Science Experimentation 101

DataRobot

FEBRUARY 10, 2021

Even if all the code runs and the model seems to be spitting out reasonable answers, it’s possible for a model to encode fundamental data science mistakes that invalidate its results. These errors might seem small, but the effects can be disastrous when the model is used to make decisions in the real world.

Modeling 98

Modeling Deep Learning Machine Learning Testing 98

MLWhiz

NOVEMBER 6, 2019

What do we want to optimize for? Every business problem is a little different, and it should be optimized differently. We all have created classification models. A lot of time we try to increase evaluate our models on accuracy. But do we really want accuracy as a metric of our model performance?

Metrics 86

Metrics Optimization Modeling IT 86

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). This software, and the insights it provides, can help providers predict demand patterns, identify potential issues and optimize the distribution network.

Optimization 60

Optimization Technology Measurement Cost-Benefit 60

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 94

Sales Marketing Optimization Metrics 94

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. Issues with tracking progress.

Digital Transformation 140

Digital Transformation Metrics Enterprise Optimization 140

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. As we noted earlier , you can use models to define the relationships between the elements of your decision and your business results. If only it were so simple.

Optimization 66

Optimization Strategy Metrics Modeling 66

IBM Big Data Hub

DECEMBER 19, 2023

Anomaly detection simply means defining “normal” patterns and metrics—based on business functions and goals—and identifying data points that fall outside of an operation’s normal behavior. A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given.

Machine Learning 71

Machine Learning Optimization Unstructured Data Sales 71

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

Smart Data Collective

SEPTEMBER 17, 2020

One of the most important benefits of data analytics with lead generation and optimization. Predictive analytics tools use a variety of scoring metrics to identify the probability that a lead will be converted into a paying customer. Monitor the Metrics. Big data is utilized in many facets of business.

Optimization 107

Optimization Data Analytics Analytics Sales 107

CIO Business Intelligence

MAY 12, 2023

We were able to get better metrics and reporting. The next move, Hannah says, is to delve deeper into how GDIT can evolve more corporate assets into cloud-native, virtualized applications that can be optimized for the scalability, flexibility, and cost savings of its 100% multicloud infrastructure. It is not a candy store.

Strategy 98

Strategy IT Digital Transformation Finance 98

O'Reilly on Data

APRIL 23, 2024

Why is it that Google, a company once known for its distinctive “Do no evil” guideline, is now facing the same charges of “surveillance capitalism” as Facebook, a company that never made such claims? Why is it now subject to the same kind of antitrust complaints faced by Microsoft, once the “evil empire” of the previous generation of computing?

Advertising 270

Advertising Cost-Benefit Marketing Risk 270

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

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. And like the Holy Grail, it has been elusive.

Measurement 126

Measurement Metrics Software Testing 126

Domino Data Lab

SEPTEMBER 3, 2019

This article covers how to perform hyperparameter optimization using a sequential model-based optimization (SMBO) technique implemented in the HyperOpt Python package. Feature engineering and hyperparameter optimization are two important model building steps. There is a complementary Domino project available.

Optimization 76

Optimization Dashboards Modeling Machine Learning 76

CIO Business Intelligence

APRIL 29, 2022

Many organisations focus too heavily on fine tuning their computational models in their pursuit of ‘quick-wins.’ However, contrary to popular belief, AI success is not about tweaking and recalibrating models, it’s about tweaking data, continually. Once built, the computational models should remain relatively static.

Data Governance 145

Data Governance IT Risk Data Lake 145

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

OCTOBER 7, 2022

Every organization pursuing digital transformation needs to optimize IT from edge to cloud to move faster and speed time to innovation. For IT decision makers and their partners and sellers, a modern approach involves three essential steps to optimize procurement — and accelerate digital transformation: 1. Understand your VM needs.

Data-driven 98

Data-driven IT Digital Transformation ROI 98

IBM Big Data Hub

AUGUST 7, 2023

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.

Optimization 59

Optimization Forecasting Data-driven Strategy 59

IBM Big Data Hub

SEPTEMBER 19, 2023

Eventually, the concept of “Observability = Metrics + Traces + Logs” became the de facto definition. Instana’s lightweight agent collects rich telemetry data—including logs, metrics and traces—without impacting the performance of applications or infrastructure.

IT 87

IT Metrics Forecasting Technology 87

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

CIO Business Intelligence

MARCH 1, 2024

Suppose you lead IT at a VC-backed startup. It just crossed $100M in revenue and is approaching a major liquidity event, such as an IPO. It’s exciting stuff. But as you speak with an expanding cadre of lawyers, accountants, and bankers, you start to appreciate what such an event means for your department. All of this, you realize, must change.

IT 105

IT Software Reporting Metrics 105

CIO Business Intelligence

NOVEMBER 6, 2023

As you face challenges in this model, first consider how to protect the current business, then act to embrace emerging opportunities, with the end goal of creating an entirely new business: “Incubating new business models powered by emerging tech should be a strategic priority,” he says.

IT 139

IT Risk Technology Measurement 139