CIO Business Intelligence

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Today’s foundational models are jacks-of-all-trades. According to McKinsey, gen AI is poised to add up to an annual $4.4

Enterprise 129

Enterprise Consulting Modeling Cost-Benefit 129

erwin

NOVEMBER 13, 2020

The business challenges facing organizations today emphasize the value of enterprise architecture (EA) , so the future of EA is closer than you think. See also: What Is Enterprise Architecture? . Data Security & Risk Management. Data Center Consolidation. Are you ready for it? Digital Transformation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

CIO Business Intelligence

DECEMBER 12, 2023

Chief technology officers are key players in the enterprise C-suite, oftentimes working in collaboration with CIOs at the forefront of new and innovative technologies. They are among the most important hires organizations are making today due to the business value that successful technology deployments can bring.

Technology 127

Technology Risk Strategy Interactive 127

erwin

MARCH 5, 2020

The value of enterprise architecture to innovation management and digital transformation is clear. Innovation management is about quickly and effectively implementing your organization’s goals through the adoption of innovative ideas, products, processes and business models.

Digital Transformation 133

Digital Transformation Enterprise Management Modeling 133

IBM Big Data Hub

NOVEMBER 15, 2023

IBM watsonx is changing the game for enterprises of all shapes and sizes, making it easy for them to embed generative AI into their operations. Watsonx gives organizations the ability to refine foundation models with their own domain-specific data to gain competitive advantage and ensure factual grounding to external sources of knowledge.

Sales 92

Sales Software Modeling Enterprise 92

O'Reilly on Data

MARCH 19, 2020

O’Reilly online learning is a trove of information about the trends, topics, and issues tech leaders need to know about to do their jobs. Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%. Growth in ML and AI is unabated.

Deep Learning 276

Deep Learning Machine Learning Data-driven Modeling 276

IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. It might suggest a restaurant based on preferences and current popularity.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

AWS Big Data

APRIL 11, 2023

To address these challenges, businesses need an inventory management and forecasting solution that can provide real-time insights into inventory levels, demand trends, and customer behavior. To take advantage of this data and build an effective inventory management and forecasting solution, retailers can use a range of AWS services.

Forecasting 72

Forecasting Management IoT Data-driven 72

erwin

JANUARY 28, 2021

Enterprise architecture certifications and the professionals who obtain them give organizations more confidence in their enterprise architecture initiatives. Enterprise architecture (EA) helps align business and IT efforts by documenting and mapping data, applications and assets to the functions they support.

Enterprise 103

Enterprise Cost-Benefit Modeling Marketing 103

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

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. Gartner’s data suggests that, without executive partnership, as many as 88% of CIOs are primed to fall short.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

AWS Big Data

NOVEMBER 9, 2023

Building a data platform involves various approaches, each with its unique blend of complexities and solutions. In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform.

Data Warehouse 101

Data Warehouse Testing Data Quality Reporting 101

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Slice and Dice 109

Slice and Dice Cost-Benefit Risk Data Governance 109

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.

Analytics 128

Analytics Data Science Statistics Unstructured Data 128

DataKitchen

JANUARY 3, 2022

Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. In business analytics, fire-fighting and stress are common. Analytics Hub and Spoke.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

CIO Business Intelligence

MARCH 8, 2023

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

Manufacturing 85

Manufacturing Business Objectives Cost-Benefit Optimization 85

Andrew White

FEBRUARY 23, 2021

The D&A trends for 2021 covered in this research can help organizations respond to change, uncertainty and the opportunities they bring over the next three years. D&A leaders must examine how to turn these trends into mission-critical investments that accelerate their capabilities to anticipate, shift and respond.

Analytics 90

Analytics Uncertainty Machine Learning Modeling 90

CIO Business Intelligence

NOVEMBER 2, 2023

To be sure, enterprise cloud budgets continue to increase, with IT decision-makers reporting that 31% of their overall technology budget will go toward cloud computing and two-thirds expecting their cloud budget to increase in the next 12 months, according to the Foundry Cloud Computing Study 2023. 1 barrier to moving forward in the cloud.

Strategy 134

Strategy Data Processing Experimentation Optimization 134

CIO Business Intelligence

AUGUST 5, 2022

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

IT 94

IT Manufacturing Business Objectives Cost-Benefit 94

Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. Here are three key trends that will likely dominate the priorities of APAC’s business leaders in the coming year.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Improve Visibility within Supply Chains.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

IBM Big Data Hub

JUNE 7, 2022

The proposed rules aim to govern automated valuation models to protect borrowers. The announcement highlighted the crucial role of training data, and the terrible consequences of using data that “fails to represent American society.”. Governments and regulatory bodies around the world are working to establish safety standards.

Metrics 52

Metrics Risk Modeling Enterprise 52

CIO Business Intelligence

NOVEMBER 17, 2022

Watching the trends A new NTT ebook, The Future of Networking in 2025 and Beyond , looks at the trends that are likely to have the biggest impact on CIOs and information technology in the next few years. These trends include: 1. Time stands still for no one – and for no network either.

Internet of Things 59

Internet of Things Data-driven Cost-Benefit Digital Transformation 59

IBM Big Data Hub

JUNE 23, 2023

As the name suggests, it generates images, music, speech, code, video or text, while it interprets and manipulates preexisting data. For F&A leaders, this means that it may have the ability to transform financial data, such as business performance reports, commentary and narratives.

Finance 64

Finance Reporting Cost-Benefit Modeling 64

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

Cloudera

AUGUST 22, 2021

Retirement of legacy tech and migration to new services can be challenging for any business, but greater for enterprises. Retirement of legacy tech and migration to new services can be challenging for any business, but greater for enterprises. What drew you to work in the cloud space? So, what do you like most about the cloud?

Cost-Benefit 103

Cost-Benefit Strategy IoT Digital Transformation 103

Alation

APRIL 7, 2021

For those customers, Alation Cloud Service is a great option to fit within their enterprise needs. With an on-prem deployment, it’s common for customers to skip some version upgrades and not get that constant innovation. Jason Lim: What is Alation Cloud Service and how it’s different from the Alation Data Catalog on-premise product?

Management 52

Management Data Processing Enterprise Testing 52

IBM Big Data Hub

SEPTEMBER 20, 2022

But these organizations need to be able to trust their AI/ML models before they can be operationalized and used in crucial business processes. These days, if an AI model makes a biased, unfair decision involving the health, wealth or well-being of humans, an organization can hit the news for the wrong reasons. Is it scalable?

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

Alation

JANUARY 9, 2023

No matter where you reside, it seems as if significant data breaches happen almost weekly. A recent flurry of data breaches resulting in the disclosure of private data covering tens of millions of Australians has renewed the visibility of regulations that compel organisations to better protect consumer data.

Risk Management 52

Risk Management Risk Management Metadata 52

CIO Business Intelligence

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer.

Finance 98

Finance IT Software Reporting 98

Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing. And data moves around.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Data ingestion through ‘s3’. Ozone Namespace Overview.

Data Science 107

Data Science Forecasting Metadata Machine Learning 107

Cloudera

MAY 28, 2019

Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments. Data management for ML/AI – what’s the big deal? Most would maintain that the majority of data scientists’ time is still spent on collecting and preparing data for analysis.

Data Science 47

Data Science Machine Learning Data Strategy Cost-Benefit 47

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning in marketing and sales According to Forbes , marketing and sales teams prioritize AI and ML more than any other enterprise department. Machine learning in marketing and sales According to Forbes , marketing and sales teams prioritize AI and ML more than any other enterprise department.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

FineReport

AUGUST 6, 2020

Data reports are an important part of maintaining the company’s normal production and operations. The business development and financial status of the company need to be monitored through data reports. Developing reports is one of the necessary skills for data analysts or consultants. Its designer is modeled after Excel.

Reporting 98

Reporting Dashboards Sales Visualization 98