CIO Business Intelligence

JANUARY 6, 2025

Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space. I am excited about the potential of generative AI, particularly in the security space, she says.

IT 140

IT Cost-Benefit Measurement Experimentation 140

Smart Data Collective

APRIL 13, 2022

Machine learning technology is becoming a more important aspect of modern marketing. One of the biggest reasons for this is that digital marketing is playing a huge role in marketing strategies for most companies. Machine learning technology is a very important element of digital marketing.

Machine Learning 137

Machine Learning Advertising Cost-Benefit Marketing 137

Smart Data Collective

FEBRUARY 28, 2023

Machine learning technology has already had a huge impact on our lives in many ways. There are numerous ways that machine learning technology is changing the financial industry. We talked about the benefits of AI for consumers trying to improve their own personal financial plans. What is risk parity?

Machine Learning 117

Machine Learning Risk Cost-Benefit Marketing 117

Smart Data Collective

MARCH 31, 2022

Machine learning technology is changing many sectors in tremendous ways. A lot of accountants are discovering innovative ways to take advantage of the benefits of machine learning. A lot of accountants are discovering innovative ways to take advantage of the benefits of machine learning.

Machine Learning 131

Machine Learning Insurance Finance Cost-Benefit 131

AWS Big Data

JANUARY 9, 2025

In our previous post Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg , we showed how to use Apache Iceberg in the context of strategy backtesting. Our analysis shows that Iceberg can accelerate query performance by up to 52%, reduce operational costs, and significantly improve data management at scale.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

CIO Business Intelligence

NOVEMBER 1, 2024

Paul Beswick, CIO of Marsh McLennan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized.

IT 122

IT Insurance Consulting Risk 122

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

Infor’s strategy is to tailor software with a high percentage of specific capabilities and functionality for customers in its target industries, delivering a faster time to value. The main shortcoming I found in the software is that it does not take costs into account in its optimizing routines, but I expect that will be added shortly.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

datapine

JANUARY 21, 2020

As a result, BI can benefit the overall evolution as well as the profitability of a company, regardless of niche or industry. Download here the top benefits cheat sheet, and start reporting! Benefits Of Business Intelligence And Reporting. Let’s see what the crucial benefits are: 1. What Is BI Reporting?

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

CIO Business Intelligence

OCTOBER 22, 2024

Cloud strategies are undergoing a sea change of late, with CIOs becoming more intentional about making the most of multiple clouds. A lot of ‘multicloud’ strategies were not actually multicloud. Today’s strategies are increasingly multicloud by intention,” she adds.

Strategy 128

Strategy Cost-Benefit Risk Enterprise 128

CIO Business Intelligence

NOVEMBER 1, 2024

Paul Beswick, CIO of Marsh McLellan, served as a general strategy consultant for most of his 23 years at the firm but was tapped in 2019 to relaunch the risk, insurance, and consulting services powerhouse’s global digital practice. It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized.

IT 105

IT Insurance Consulting Risk 105

CIO Business Intelligence

FEBRUARY 20, 2025

Decades-old apps designed to retain a limited amount of data due to storage costs at the time are also unlikely to integrate easily with AI tools, says Brian Klingbeil, chief strategy officer at managed services provider Ensono. But they can be modernized. In many cases, outdated apps are completely blocking AI adoption, Stone says.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

Cloudera

JANUARY 7, 2025

In todays dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. Adopting hybrid and multi-cloud models provides enterprises with flexibility, cost optimization, and a way to avoid vendor lock-in. Why Hybrid and Multi-Cloud?

Cost-Benefit 82

Cost-Benefit Optimization Data-driven Strategy 82

O'Reilly on Data

SEPTEMBER 19, 2023

.” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” Those algorithms packaged with scikit-learn?

Machine Learning 341

Machine Learning Testing Modeling Cost-Benefit 341

CIO Business Intelligence

JANUARY 9, 2025

Before LLMs and diffusion models, organizations had to invest a significant amount of time, effort, and resources into developing custom machine-learning models to solve difficult problems. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Accordingly, the rise of master data management is becoming a key priority in the business intelligence strategy of a company. According to Gartner, poor data quality is estimated to cost organizations an average of $15 million per year in losses.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

AWS Big Data

NOVEMBER 21, 2024

Amazon EMR is a cloud big data platform for petabyte-scale data processing, interactive analysis, streaming, and machine learning (ML) using open source frameworks such as Apache Spark , Presto and Trino , and Apache Flink. Under Allocation strategy , select Apply allocation strategy.

Metrics 88

Metrics Machine Learning Strategy Big Data 88

Corinium

JUNE 6, 2019

For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. There is usually a steep learning curve in terms of “doing AI right”, which is invaluable. The resulting cost savings can fuel the capital investment required to address growth objectives.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

APRIL 8, 2025

I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. This challenge remains deceptively overlooked despite its profound impact on strategy and execution. In the public sector, fragmented citizen data impairs service delivery, delays benefits and leads to audit failures.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

JUNE 16, 2022

With a cloud-first approach, businesses can sidestep the high costs associated with on-premises deployment, installation, maintenance, and IT infrastructure upgrades with an option that scales capacity up or down based on need. Consider the last two-plus years of business disruptions caused by the global pandemic. More data-driven insights.

Strategy 138

Strategy Enterprise Digital Transformation Data Processing 138

AWS Big Data

MARCH 13, 2025

Amazon SageMaker brings together widely adopted AWS machine learning (ML) and analytics capabilities and addresses the challenges of harnessing organizational data for analytics and AI through unified access to tools and data with governance built in. We are excited to announce the general availability of SageMaker Unified Studio.

Analytics 114

Analytics Data Lake Data Warehouse Data-driven 114

CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

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. Gartner predicts that the service-based cloud application industry will be worth $143.7 2019 was a breakthrough year for the SaaS world in many ways.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

CIO Business Intelligence

JULY 10, 2024

They correlate to a low AI maturity and typically bring limited benefits. They correlate to a moderate AI maturity and can bring moderate benefits. They correlate to a high AI maturity and can bring big benefits. We examine the risks of rapid GenAI implementation and explain how to manage it.

Risk 111

Risk Strategy Consulting Cost-Benefit 111

CIO Business Intelligence

DECEMBER 10, 2024

However, each cloud provider offers distinct advantages for AI workloads, making a multi-cloud strategy vital. NetApps first-party, cloud-native storage solutions enable our customers to quickly benefit from these AI investments. Whether its a managed process like an exit strategy or an unexpected event like a cyber-attack.

Strategy 105

Strategy Data-driven Cost-Benefit Machine Learning 105

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Our Top Data Science Tools.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

DECEMBER 13, 2022

This post summarizes our conversation and describes some strategies we discussed to derive and demonstrate data analytics program value. Lucas Lau, Senior Director – Machine Learning & AI Practice Leader at Protiviti, outlined a list of categories to simplify metrics. Analytics, Business Intelligence.

Data Analytics 105

Data Analytics Strategy Analytics Metrics 105

CIO Business Intelligence

JULY 19, 2024

Some of this can be attributed to a growing skills shortage, especially in emerging technologies such as AI, generative AI, NLP, and machine learning. Classroom training was ranked the least effective strategy, with only 11% saying they found this format beneficial. due to delays, quality issues, and revenue loss.

Strategy 116

Strategy Digital Transformation Cost-Benefit Consulting 116

David Menninger's Analyst Perspectives

JANUARY 21, 2025

MongoDB has benefited from a focus on the needs of development teams to deliver innovation through the development of data-driven applications. adds support for vector quantization, which takes advantage of compression to reduce memory requirements for vector processing, leading to lower costs and improved performance.

Data Lake 130

Data Lake IoT Cost-Benefit Enterprise 130

IBM Big Data Hub

DECEMBER 20, 2023

To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives. Building a successful hybrid cloud strategy Every organization must contend with its own infrastructure, distinct workloads, business processes and workflow needs.

Strategy 93

Strategy Cost-Benefit Digital Transformation Optimization 93

CIO Business Intelligence

MARCH 15, 2022

Synthetic data can also be a vital tool for enterprise AI efforts when available data doesn’t meet business needs or could create privacy issues if used to train machine learning models, test software, or the like. Artificial data has many uses in enterprise AI strategies. Synthetic data use cases.

Strategy 145

Strategy Testing Sales Modeling 145

CIO Business Intelligence

APRIL 12, 2023

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. Real-time AI is a science project until benefits to the business are realized. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

CIO Business Intelligence

MARCH 12, 2022

A well-establish, well-executed employee retention strategy is a key competitive differentiator, as a company’s ability to hold on to its talent — especially in tight hiring markets — has profound ramifications for its ability to operate at a high level, without the disruptions that employee turnover bring. “We Engage your workers.

Strategy 128

Strategy Cost-Benefit Enterprise Management 128

CIO Business Intelligence

APRIL 5, 2022

But the latest analytics tools, powered by machine learning algorithms, can help companies predict demand more effectively, enabling them to adjust production and shipping operations. Second, Optimas is using data analytics to help better collaborate with its business customers to reduce costs and better manage their inventories.

Analytics 145

Analytics Cost-Benefit Forecasting Manufacturing 145

Smart Data Collective

OCTOBER 13, 2021

One of the biggest benefits of AI is that it has led to new breakthroughs in automation. Automating processes can be costly, but it’s a worthy long-term investment that helps businesses align their strategies for streamlined operations. Use machine learning. Machine learning is one of the biggest applications of AI.

Technology 133

Technology Cost-Benefit Experimentation Machine Learning 133

Smart Data Collective

JUNE 19, 2022

The benefits of AI stem from the need to manage close relationships with business stakeholders, which is a difficult task. You can leverage machine learning to drive automation and data mining tools to continue researching members of your supply chain and statements your own customers are making. Price and Cost Risk.

Risk 144

Risk Cost-Benefit Risk Management Manufacturing 144

DataKitchen

APRIL 26, 2021

In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

CIO Business Intelligence

JANUARY 17, 2023

In almost every case, there’s an increased need for data insight and technology-enabled agility to reaffirm technology’s position at the center of investment strategy in order to achieve organizational growth. Then, identify opportunities to reduce run costs and free up funds to invest in transformation and new technology capabilities.

Cost-Benefit 138

Cost-Benefit IT Uncertainty Optimization 138