CIO Business Intelligence

AUGUST 20, 2024

Enterprises did not rethink their companies or models to thrive in what was quickly becoming a digital-first world. On the other side, my work explored how work, processes, and supporting systems could evolve or be reimagined to transform business and operational models. Generative AI isn’t the last wave of AI disruption.

Digital Transformation 144

Digital Transformation Modeling ROI Strategy 144

Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities. So, if you have 1 trillion data points (g.,

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

OCTOBER 24, 2024

The challenge is that these architectures are convoluted, requiring diverse and multiple models, sophisticated retrieval-augmented generation stacks, advanced data architectures, and niche expertise,” they said. Determining the optimal level of autonomy to balance risk and efficiency will challenge business leaders,” Le Clair said.

ROI 127

ROI Data-driven Enterprise Experimentation 127

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

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 Unstructured Data 143

AWS Big Data

OCTOBER 21, 2024

As a producer, you can also monetize your data through the subscription model using AWS Data Exchange. To achieve this, they plan to use machine learning (ML) models to extract insights from data. The seamless integration of these services works cohesively to achieve end-to-end business objectives.

Sales 104

Sales Data-driven Data Processing Key Performance Indicator 104

CIO Business Intelligence

JANUARY 7, 2025

The assessment provides insights into the current state of architecture and workloads and maps technology needs to the business objectives. The first three considerations are driven by business, and the last one by IT. This new paradigm of the operating model is the hallmark of successful organizational transformation.

Optimization 98

Optimization Strategy Cost-Benefit Enterprise 98

CIO Business Intelligence

NOVEMBER 8, 2023

Aligning with business objectives to deliver value has become a central focus across all technological aspects these days. On being a leader: When I came across the notion that being bilingual means understanding both technology and business, I was really fascinated.

Modeling 122

Modeling Business Objectives Technology Consulting 122

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

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

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 177

Scorecard Data Quality Measurement Testing 177

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

erwin

FEBRUARY 27, 2020

It facilitates an organization’s efforts in assessing the impact of change and making recommendations for target states that support business objectives. EA often delivers the business use cases that justify the incorporation of ideas into operations.

Management 137

Management Enterprise Cost-Benefit Business Objectives 137

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

CIO Business Intelligence

APRIL 6, 2022

In all of these roles, I’ve come across patterns that enable organizations to build faster business insights and innovation with data. These patterns encompass a way to deliver value to the business with data; I refer to them collectively as the “data operating model.” Execution patterns in an operating model.

Cost-Benefit 135

Cost-Benefit Digital Transformation Data-driven Strategy 135

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