CIO Business Intelligence

NOVEMBER 19, 2024

Clearing business strategy hurdles Choosing the right technologies to meet an organization’s unique AI goals is usually not straightforward. Business objectives must be articulated and matched with appropriate tools, methodologies, and processes.

Analytics 97

Analytics Cost-Benefit Finance Data-driven 97

Rocket-Powered Data Science

JULY 6, 2021

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. MLOps “done right” addresses sustainable model operations, explainability, trust, versioning, reproducibility, training updates, and governance (i.e.,

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

O'Reilly on Data

JULY 28, 2020

You must detect when the model has become stale, and retrain it as necessary. The Marketing team built the first model, but because it was from marketing, the model optimized for CTR and lead conversion. Nonetheless, building a superior feature pipeline or model architecture will always be worthwhile.

Marketing 363

Marketing Experimentation Metrics Testing 363

CIO Business Intelligence

NOVEMBER 7, 2024

The status of digital transformation Digital transformation is a complex, multiyear journey that involves not only adopting innovative technologies but also rethinking business processes, customer interactions, and revenue models. The metrics must reflect this necessity.

Digital Transformation 128

Digital Transformation Metrics Measurement Key Performance Indicator 128

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. Nine Steps to Data Modeling. Create database designs from visual models.

Modeling 98

Modeling Metadata Data Governance Visualization 98

IBM Big Data Hub

MAY 17, 2024

Cloud maturity models are a useful tool for addressing these concerns, grounding organizational cloud strategy and proceeding confidently in cloud adoption with a plan. Cloud maturity models (or CMMs) are frameworks for evaluating an organization’s cloud adoption readiness on both a macro and individual service level.

Modeling 96

Modeling Cost-Benefit Optimization Digital Transformation 96

CIO Business Intelligence

JANUARY 21, 2025

Excessive infrastructure costs: About 21% of IT executives point to the high cost of training models or running GenAI apps as a major concern. Upgrading systems to accommodate advanced workloads can be especially prohibitive for organizations trying to scale AI initiatives across multiple business units. million in 2025 to $7.45

Cost-Benefit 98

Cost-Benefit ROI Measurement Strategy 98

CIO Business Intelligence

DECEMBER 10, 2024

Instead, CIOs must partner with CMOs and other business leaders to help quantify where gen AI can drive other strategic impacts especially those directly connected to the bottom line. Below are five examples of where to start.

Sales 143

Sales Metrics Data-driven Measurement 143

CIO Business Intelligence

SEPTEMBER 20, 2023

We internally analyzed the improvements we had to provide and, together with the CIOs in all the countries where Mapfre operates, we defined a very solid strategy that aligns with the business objectives, and we’re implementing that now. This change in platform also entails a data governance model and operational changes.

Modeling 98

Modeling Insurance IT Cost-Benefit 98

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. Flexible payment options: Businesses don’t have to go through the expense of purchasing software and hardware. 6) Micro-SaaS.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

CIO Business Intelligence

JUNE 21, 2023

Align with business goals: Clearly articulate how IT initiatives can directly support the broader business objectives of the company and help gain competitive advantages. Foster collaboration: Emphasize the importance of collaboration between IT and other business functions.

Modeling 105

Modeling Cost-Benefit Business Objectives Digital Transformation 105

Rocket-Powered Data Science

JUNE 17, 2022

Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. The key difference is this: monitoring is what you do, and observability is why you do it.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy. What is data modeling?

Modeling 84

Modeling Big Data IoT Data Warehouse 84

IBM Big Data Hub

AUGUST 14, 2023

Business owners often grapple with the frustrating reality of discovering IT issues impacting their operations only after customer complaints have arisen, leaving them with little opportunity to mitigate problems proactively.

Business Objectives 45

Business Objectives IT Key Performance Indicator Consulting 45

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data. Objectives and Usage.

Predictive Analytics 139

Predictive Analytics Analytics Predictive Modeling Data mining 139

DataKitchen

SEPTEMBER 18, 2024

Why is the change necessary (alignment with business objectives or regulatory compliance)? accuracy, completeness, consistency) should be captured in the scoring model. Data quality leaders need to determine: Where the change should occur (source systems, data lakes, or at the point of analysis).

Scorecard 180

Scorecard Data Quality Measurement Testing 180

Smarten

NOVEMBER 19, 2018

Predictive analytics is the process of forecasting or predicting business results for planning purposes. Can Predictive Analytics Help You Achieve Business Objectives? Original Post: What is Predictive Analytics and Can it Help You Achieve Business Objectives? What is Predictive Analytics?

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

CIO Business Intelligence

JANUARY 7, 2025

To do so, we need to first ask ourselves three key questions: Question #1: How will we use AI to meet our specific business objectives? Lets promise ourselves that this will be the year that we adopt a pragmatic approach to harnessing the vast potential of AI. Question #2: How will we make sure that we use AI responsibly?

ROI 52

ROI Business Objectives Technology Optimization 52

DataRobot Blog

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52

Risk Modeling Metrics Business Objectives 52

CIO Business Intelligence

JUNE 4, 2024

On the pro-code front, Andreas Welsch, VP and head of AI marketing, said in an interview that SAP is leveraging its partnership with Nvidia to fine tune an LLM model on ABAP code. Several features are planned; first up is the ability for software developers to create ABAP business objects using generative AI in SAP.

IT 122

IT Data Governance Business Objectives Visualization 122

CIO Business Intelligence

MAY 24, 2024

Organizations that have made progress on environmental objectives to include circular economy principles have also made progress on broader business objectives of better asset management strategies and reduced procurement cycles.

Management 110

Management IT Cost-Benefit Metrics 110

CIO Business Intelligence

AUGUST 23, 2022

To address this requirement and ensure seamless connectivity, organizations are rapidly adopting consumption-driven NaaS models to balance the cost of their network growth with the digital experience of their stakeholders. Additionally, the NaaS provider removes the traditional challenges of managing/operating networks.

Cost-Benefit 105

Cost-Benefit Business Objectives ROI Risk 105

CIO Business Intelligence

OCTOBER 15, 2024

Rick Boyce, CTO at AND Digital, underscores how a typical IT project mentality toward DevOps can undercut the CIO’s ability to deliver on business objectives. CIOs should also weigh in on roles and responsibilities and oversee defining a governance model to avoid overloading individuals or ending up with responsibility gaps.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

CIO Business Intelligence

JUNE 11, 2024

IT’s mission has transformed — perhaps so should its brand Another approach I recommend is to rebrand IT and recast its mission to modernize its objectives, organizational structure, core competencies, and operating model. These objectives are not new but go beyond IT’s traditional operating responsibilities.

IT 136

IT Digital Transformation Broadcasting Business Objectives 136

Smart Data Collective

SEPTEMBER 30, 2021

This speed of vaccine development was also possible due to AI models that served researchers in analyzing vast amounts of coronavirus data. All of these natural language models are adding to more accurate search results and more valuable chatbots and virtual assistants. Quantum Computing.

Deep Learning 125

Deep Learning Machine Learning Business Objectives Testing 125

CIO Business Intelligence

MARCH 7, 2023

CIOs should consider technologies that promote their hybrid working models to replace in-person meetings. CIOs seeking a force multiplier will merge dataops , data science, and data governance initiatives by creating multidisciplinary agile data teams and aligning on business objectives.

Digital Transformation 145

Digital Transformation Data Governance Machine Learning Experimentation 145

erwin

JULY 12, 2019

The complexity of regulatory requirements in and of themselves is aggravated by the complexity of the business and data landscapes within most enterprises. Creating and automating a curated enterprise data catalog , complete with physical assets, data models, data movement, data quality and on-demand lineage. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

MARCH 8, 2023

A hybrid approach is clearly established as the optimal operating model of choice. Here, there is a synergistic need between what is happening at the edge and the processing power required in real time to facilitate your business objectives.” Understand your options based on where you are coming from,” he says. “If

Manufacturing 102

Manufacturing Business Objectives Cost-Benefit Uncertainty 102

erwin

NOVEMBER 16, 2021

Many organizations are searching for a data modeling tool as they undertake application modernization initiatives to move from legacy infrastructure and migrate to the cloud. But of course, business applications have complex databases behind them, and those databases need to go along for the ride.

Modeling 52

Modeling Unstructured Data Business Objectives Digital Transformation 52

Jen Stirrup

SEPTEMBER 30, 2021

They may also learn from evidence, but the data and the modelling fundamentally comes from humans in some way. Business Understanding Data Understanding Data Preparation Modeling Evaluation Deployment. This may also involve the generation of a preliminary plan designed to deliver the business objectives.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

CIO Business Intelligence

JUNE 18, 2024

Salesforce today announced a first-of-its-kind gen AI benchmark for CRM, which aims to help businesses make more informed decisions when choosing large language models (LLMs) for use with business applications. Customers don’t just want the best model,” explains Clara Shih, CEO of Salesforce AI.

Metrics 96

Metrics Sales Business Objectives Modeling 96

CIO Business Intelligence

OCTOBER 24, 2023

As CIOs prepare for the next wave of digital transformation, they must demonstrate shorter-term business impacts from technology investments and achieve larger innovation goals that evolve the organization’s business model. Roadmaps give employees a sense of direction, an explanation of purpose, and convey strategic priorities.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

CIO Business Intelligence

FEBRUARY 7, 2024

Carter Busse, CIO of no-code enabled automation platform company Workato, adds that APIs are now important connective tissue to integrate and interact with large language models (LLMs) within business processes. “If Besides technical considerations, however, there are unique business implications to consider, adds Bizagi’s Vázquez. “We

Business Objectives 124

Business Objectives Cost-Benefit Strategy Data-driven 124

CIO Business Intelligence

AUGUST 5, 2022

A hybrid approach is clearly established as the optimal operating model of choice. Here, there is a synergistic need between what is happening at the edge and the processing power required in real time to facilitate your business objectives.”. Understand your options based on where you are coming from,” he says. “If

IT 98

IT Manufacturing Business Objectives Cost-Benefit 98

CIO Business Intelligence

NOVEMBER 17, 2023

Over a period of six months, we created an entirely new demand forecasting model, leveraging the capabilities in the cloud,” he says by way of example. They are quite sensitive particularly about not putting into some of those models confidential information, which could then be out there permanently.”

Forecasting 132

Forecasting Consulting Data-driven Business Objectives 132

CIO Business Intelligence

AUGUST 20, 2024

Our mental models of what constitutes a high-performance team have evolved considerably over the past five years. High performance back then generally focused on delivery — a contrast to previous generations of IT where business and IT alignment was an issue, and teams struggled to deliver with waterfall project management practices.

IT 141

IT Digital Transformation Experimentation Risk 141

Smart Data Collective

MAY 3, 2022

This was a hit or miss practice, because countless factors influence pricing models. Here are some benefits of using big data to address pricing challenges: You can use predictive analytics technology to anticipate upcoming events that will influence the market and force you to change your pricing model. Balancing with price points.

Data Analytics 111

Data Analytics Analytics Big Data Sales 111