CIO Business Intelligence

FEBRUARY 4, 2025

Instead of seeing digital as a new paradigm for our business, we over-indexed on digitizing legacy models and processes and modernizing our existing organization. This only fortified traditional models instead of breaking down the walls that separate people and work inside our organizations. We optimized. We automated.

Digital Transformation 144

Digital Transformation Sales Optimization Enterprise 144

datapine

SEPTEMBER 1, 2020

, there are two answers that go hand in hand: good exploitation of your analytics, that come from the results of a market research report. Besides, they also add more credibility to your work and add weight to any marketing recommendations you would give to a client or executive. What Is A Market Research Report?

Reporting 247

Reporting Marketing KPI Dashboards 247

CIO Business Intelligence

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. Ultimately, it simplifies the creation of AI models, empowers more employees outside the IT department to use AI, and scales AI projects effectively.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

CIO Business Intelligence

DECEMBER 11, 2024

To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. With security, many commercial providers use their customers data to train their models, says Ringdahl. Thats one of the catches of proprietary commercial models, he says. Its possible to opt-out, but there are caveats.

Cost-Benefit 115

Cost-Benefit Modeling Marketing Sales 115

CIO Business Intelligence

JANUARY 15, 2025

But some companies, particularly in the IT sector, now appear to be reevaluating their business models and will consider selling non-core lines of business and products to fund AI projects, says James Brundage, global and Americas technology sector leader at EY, an IT and tax advisory firm.

Sales 130

Sales Data-driven Marketing Optimization 130

CIO Business Intelligence

JANUARY 21, 2025

With traditional OCR and AI models, you might get 60% straight-through processing, 70% if youre lucky, but now generative AI solves all of the edge cases, and your processing rates go up to 99%, Beckley says. Why focus on the marketing department? One opportunity is for CIOs to help their marketing departments improve brand loyalty.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

CIO Business Intelligence

DECEMBER 18, 2024

Trading: GenAI optimizes quant finance, helps refine trading strategies, executes trades more effectively, and revolutionizes capital markets forecasting. GenAI can also play a role in report summarization as well as generate new trading opportunities to increase market returns.

Forecasting 105

Forecasting Predictive Analytics Risk Finance 105

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Simplified data corrections and updates Iceberg enhances data management for quants in capital markets through its robust insert, delete, and update capabilities.

Metadata 106

Metadata Snapshot Cost-Benefit Optimization 106

CIO Business Intelligence

OCTOBER 24, 2024

Take for instance large language models (LLMs) for GenAI. Businesses will need to invest in hardware and infrastructure that are optimized for AI and this may incur significant costs. Contextualizing patterns and identifying potential threats can minimize alert fatigue and optimize the use of resources.

Risk 128

Risk Measurement Optimization Machine Learning 128

Smart Data Collective

NOVEMBER 20, 2022

One of the most significant benefits of leveraging analytics in manufacturing is with marketing optimization and automation. An outsourced organization that handles specific marketing tasks of other companies is called a manufacturing marketing agency. Target Audience. Customer requirements. Priorities.

Manufacturing 144

Manufacturing Marketing Data Analytics Analytics 144

CIO Business Intelligence

NOVEMBER 13, 2024

The company has already rolled out a gen AI assistant and is also looking to use AI and LLMs to optimize every process. One is going through the big areas where we have operational services and look at every process to be optimized using artificial intelligence and large language models. We’re doing two things,” he says.

IT 141

IT Consulting ROI Cost-Benefit 141

CIO Business Intelligence

NOVEMBER 5, 2024

Back then, Mastercard had around 3,500 employees and a $4 billion market cap. We have a new tool called Authorization Optimizer, an AI-based system using some generative techniques but also a lot of machine learning. Explore differing AI operating models to find the one that best suits their needs. It was the people that did it.

B2B 132

B2B Machine Learning Technology Marketing 132

CIO Business Intelligence

OCTOBER 25, 2024

You either move the data to the [AI] model that typically runs in cloud today, or you move the models to the machine where the data runs,” she adds. “I I see it in terms of helping to optimize the code, modernize the code, renovate the code, and assist developers in maintaining that code.” I believe you’re going to see both.”

Data-driven 133

Data-driven Strategy Modeling Technology 133

CIO Business Intelligence

NOVEMBER 7, 2024

To drive change, a reworking of what defines CIO/IT success is needed, with a focus on strategic business goals, innovation, and market differentiation. Organizations should introduce key performance indicators (KPIs) that measure CIO contributions to innovation, revenue growth, and market differentiation.

Digital Transformation 128

Digital Transformation Metrics Measurement Key Performance Indicator 128

Smart Data Collective

MARCH 23, 2023

AI has many practical uses that can help companies improve their marketing strategies, but personalization is arguably one of the most important. In omnichannel marketing, AI personalizes and optimizes the customer experience across multiple channels. An omnichannel provider enhances marketing in different ways.

Marketing 144

Marketing Advertising Sales Strategy 144

CIO Business Intelligence

NOVEMBER 19, 2024

You pull an open-source large language model (LLM) to train on your corporate data so that the marketing team can build better assets, and the customer service team can provide customer-facing chatbots. However, as model training becomes more advanced and the need increases for ever more data to train, these problems will be magnified.

Management 116

Management Unstructured Data Deep Learning Metadata 116

David Menninger's Analyst Perspectives

NOVEMBER 5, 2024

For example, many tasks in the accounting close follow iterative paths involving multiple participants, as do supply chain management events where a delivery delay can set up a complex choreography of collaborative decision-making to deal with the delay, preferably in a relatively optimal fashion. Regards, Robert Kugel

Optimization 130

Optimization Machine Learning Software Interactive 130

CIO Business Intelligence

MARCH 19, 2025

Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. Were developing our own AI models customized to improve code understanding on rare platforms, he adds. SS&C uses Metas Llama as well as other models, says Halpin. Devin scored nearly 14%.

Software 143

Software Risk Enterprise Cost-Benefit 143

CIO Business Intelligence

NOVEMBER 21, 2024

As a result, AI factories will eventually take their place, serving as key market differentiators while driving unprecedented efficiencies. This is done through its broad portfolio of AI-optimized infrastructure, products, and services. Behind the Dell AI Factory How does the Dell AI Factory support businesses’ growing AI ambitions?

IT 111

IT Cost-Benefit Optimization Manufacturing 111

datapine

NOVEMBER 27, 2019

Marketers determine customer responses or purchases and set up cross-sell opportunities, whereas bankers use it to generate a credit score – the number generated by a predictive model that incorporates all of the data relevant to a person’s creditworthiness. 5) Collaborative Business Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Analytics Vidhya

JANUARY 15, 2024

These innovative solutions aim to personalize online shopping experiences and optimize back-office operations, signaling Google’s strong push into the GenAI market. Also Read: Google’s AI Studio: Your Gateway to […] The post Google Cloud Revolutionizes Retail with GenAI Products appeared first on Analytics Vidhya.

Optimization 304

Optimization Marketing Analytics Modeling 304

CIO Business Intelligence

OCTOBER 24, 2024

By 2026, hyperscalers will have spent more on AI-optimized servers than they will have spent on any other server until then, Lovelock predicts. In some cases, the AI add-ons will be subscription models, like Microsoft Copilot, and sometimes, they will be free, like Salesforce Einstein, he says.

IT 133

IT Data-driven Recreation/Entertainment Experimentation 133

CIO Business Intelligence

JANUARY 14, 2025

For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement.

Enterprise 119

Enterprise Technology Metrics Measurement 119

Smart Data Collective

NOVEMBER 2, 2022

Big data technology has changed the future of marketing in a multitude of ways. A growing number of organizations are leveraging big data to get higher ROIs from their organic and paid marketing campaigns. As a result, companies around the world spent over $52 billion on data-driven marketing solutions in 2021.

Marketing 145

Marketing Big Data Data-driven Sales 145

O'Reilly on Data

JUNE 15, 2023

Oxford philosopher Nick Bostrom, author of the book Superintelligence , once posited as a thought experiment an AI-managed factory given the command to optimize the production of paperclips. We need research on how best to train AI models to satisfy multiple, sometimes conflicting goals rather than optimizing for a single goal.

Risk 321

Risk Optimization Modeling Reporting 321

datapine

DECEMBER 11, 2019

SaaS is taking over the cloud computing market. 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. Gartner predicts that the service-based cloud application industry will be worth $143.7

Software 314

Software Cost-Benefit Data-driven Data Processing 314

CIO Business Intelligence

JANUARY 30, 2025

Chinese AI startup DeepSeek made a big splash last week when it unveiled an open-source version of its reasoning model, DeepSeek-R1, claiming performance superior to OpenAIs o1 generative pre-trained transformer (GPT). That echoes a statement issued by NVIDIA on Monday: DeepSeek is a perfect example of test time scaling.

Modeling 117

Modeling Data-driven Technology Strategy 117

David Menninger's Analyst Perspectives

JANUARY 21, 2025

ISGs Market Lens Cloud Study illustrates the extent to which the database market is now dominated by cloud, with 58% of participants deploying more than one-half of database and data platform workloads on cloud. million revenue in the second quarter of fiscal 2025.

Data Lake 130

Data Lake IoT Cost-Benefit Enterprise 130

CIO Business Intelligence

OCTOBER 17, 2023

The cloud market has been a picture of maturity of late. The pecking order for cloud infrastructure has been relatively stable, with AWS at around 33% market share, Microsoft Azure second at 22%, and Google Cloud a distant third at 11%. Here are the top cloud market trends and how they are impacting CIO’s cloud strategies.

Marketing 144

Marketing IT Cost-Benefit Enterprise 144

O'Reilly on Data

SEPTEMBER 19, 2023

This is the power of marketing.) Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.”

Machine Learning 336

Machine Learning Testing Modeling Cost-Benefit 336

CIO Business Intelligence

DECEMBER 17, 2024

But after putting some discipline around it and pinpointing where we can optimize our operations, we have found a better balance. When we started with generative AI and large language models, we leveraged what providers offered in the cloud. Lastly, there are so many providers, and so many models out there. Pick one and try it.

Digital Transformation 105

Digital Transformation Data Processing Optimization Machine Learning 105

DataKitchen

APRIL 13, 2021

As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice. Please let us know if we have forgotten anyone or if you have any comments (marketing@datakitchen.io). Observe, optimize, and scale enterprise data pipelines. . Meta-Orchestration . Data breaks.

Testing 300

Testing Machine Learning Consulting Data Science 300

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. million in 2026, covering infrastructure, models, applications, and services. the worlds leading tech media, data, and marketing services company. million in 2025 to $7.45

Cost-Benefit 98

Cost-Benefit ROI Measurement Strategy 98

David Menninger's Analyst Perspectives

FEBRUARY 2, 2024

Ventana Research recently announced its 2024 Market Agenda for Artificial Intelligence , continuing the guidance we have offered for two decades to help enterprises derive optimal value from technology and improve business outcomes.

Marketing 130

Marketing Optimization Enterprise Technology 130

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 277

Machine Learning Risk Management Statistics 277

CIO Business Intelligence

FEBRUARY 6, 2025

The hype around large language models (LLMs) is undeniable. Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. In retail, they can personalize recommendations and optimize marketing campaigns. They leverage around 15 different models.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

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