O'Reilly on Data

MAY 14, 2020

Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model. In reality, many candidate models (frequently hundreds or even thousands) are created during the development process. Modelling: The model is often misconstrued as the most important component of an AI product.

Management 364

Management Experimentation B2B Machine Learning 364

CIO Business Intelligence

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

NOVEMBER 4, 2024

AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Respondents rank data security as the top concern for AI workloads, followed closely by data quality. Cost, by comparison, ranks a distant 10th.

Marketing 128

Marketing Data Quality Data Governance Digital Transformation 128

CIO Business Intelligence

NOVEMBER 25, 2024

When it comes to AI, the secret to its success isn’t just in the sophistication of the algorithms — it’s in the quality of the data that powers them. AI has the potential to transform industries, but without reliable, relevant, and high-quality data, even the most advanced models will fall short.

Data Quality 99

Data Quality ROI Interactive Modeling 99

Cloudera

NOVEMBER 18, 2020

As digital interactions increase and new payment models emerge, so too will new varieties of crime. Effective fraud prevention requires sophisticated analytical approaches driven by real-time data and Machine Learning. Simudyne performs fraud simulation utilizing Agent-Based Model (ABM) generated. synthetic transaction data.

Data Strategy 105

Data Strategy Strategy Machine Learning Risk 105

CIO Business Intelligence

JANUARY 12, 2023

This has not been helped by the fact that universities have traditionally lagged the private sector in terms of cloud adoption, a key technology enabler for effective data storage and analysis. One thing holding universities back has been a reluctance to move away from traditional buying models.

Data Strategy 98

Data Strategy Strategy IT Consulting 98

CIO Business Intelligence

DECEMBER 5, 2024

For instance, in claims management, insurers would assess claims based on incomplete, poorly cleaned data, leading to inaccuracies in evaluating claims. They had an AI model in place intended to improve fraud detection. However, the model underperformed, and its outputs showed discrepancies compared to manual validations.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

Cloudera

AUGUST 30, 2022

Our experience so far reveals firms are still in the early stages of understanding the operational model and the total cost of ownership related to data platforms deployed in the cloud compared to on-premise deployments. In some cases, firms are surprised by cloud storage costs and looking to repatriate data.

Strategy 107

Strategy Data Strategy Cost-Benefit ROI 107

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 103

Data Strategy Strategy Data Warehouse Prescriptive Analytics 103

Smart Data Collective

AUGUST 31, 2020

Various Fitness App Monetization Models. We have talked in the past about ways that big data and machine learning can reduce the mistakes made in the app development process. Here are a few models which leading app developers have adopted big data strategies to earn from their applications. Ads Monetization Model.

Data-driven 128

Data-driven Modeling Advertising Big Data 128

CIO Business Intelligence

JANUARY 7, 2025

Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. For AI to deliver safe and reliable results, data teams must classify data properly before feeding it to those hungry LLMs.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

TDAN

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time. In a world where big data is becoming more popular and the use of predictive modeling is on the rise, there are steps […].

Predictive Modeling 115

Predictive Modeling Modeling Data mining Big Data 115

Smart Data Collective

NOVEMBER 24, 2019

One of the biggest applications is that new predictive analytics models are able to get a better understanding of the relationships between employees and find areas where they break down. These big data algorithms can offer insights to improve harmony within the team. Big Data is the Key to Stronger Team Extension Models.

Big Data 101

Big Data Modeling ROI Predictive Analytics 101

CIO Business Intelligence

JANUARY 21, 2025

Even simple use cases had exceptions requiring business process outsourcing (BPO) or internal data processing teams to manage. 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.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

AWS Big Data

DECEMBER 4, 2024

This post explores how the shift to a data product mindset is being implemented, the challenges faced, and the early wins that are shaping the future of data management in the Institutional Division. Subscription workflows that simplify access management to the data products.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

Rocket-Powered Data Science

MARCH 19, 2021

Focus on specific data types: e.g., time series, video, audio, images, streaming text (such as social media or online chat channels), network logs, supply chain tracking (e.g., RFID), inventory monitoring (SKU / UPC tracking). RFID), inventory monitoring (SKU / UPC tracking).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

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.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

APRIL 8, 2025

These strategies, such as investing in AI-powered cleansing tools and adopting federated governance models, not only address the current data quality challenges but also pave the way for improved decision-making, operational efficiency and customer satisfaction. When financial data is inconsistent, reporting becomes unreliable.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

OCTOBER 29, 2024

In hybrid access mode, data providers can activate Lake Formation for new dataset consumers while existing consumers continue to access the data using the legacy permission model. This hybrid approach allows providers and consumers to migrate at their own pace, maintaining a smooth transition to the new access control model.

Data Lake 110

Data Lake Sales Metadata Machine Learning 110

Rocket-Powered Data Science

OCTOBER 16, 2020

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. The data age has been marked by numerous “hype cycles.” We build models to test our understanding, but these models are not “one and done.” The Age of Hype Cycles.

Digital Transformation 142

Digital Transformation Experimentation Data Science Data Strategy 142

CIO Business Intelligence

NOVEMBER 16, 2022

On the enterprise data strategy: I am a self-admitted data geek. When you leverage internal data, you need governance around that data. Our priority is around delivering product innovation and having that digital twin or that digital thread where data is fundamental. The two are extremely important.

IT 133

IT Modeling Digital Transformation Data Governance 133

Cloudera

NOVEMBER 13, 2024

Cloudera, together with Octopai, will make it easier for organizations to better understand, access, and leverage all their data in their entire data estate – including data outside of Cloudera – to power the most robust data, analytics and AI applications.

Metadata 90

Metadata Management Data Governance Data-driven 90

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

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

Smart Data Collective

JANUARY 26, 2021

You might use predictive analysis-based data that can help you analyse buying trends or look at how the business might perform in a range of new markets. Sometimes big data models can look at which keywords and topics are trending on social media and, as translation company Tomedes points out, that can involve multiple languages.

Data Architecture 141

Data Architecture Big Data Data Strategy Data-driven 141

CIO Business Intelligence

DECEMBER 10, 2024

Align data strategies to unlock gen AI value for marketing initiatives Using AI to improve sales metrics is a good starting point for ensuring productivity improvements have near-term financial impact. Successful selling has always been about volume and quality, says Jonathan Lister, COO of Vidyard.

Sales 143

Sales Metrics Data-driven Measurement 143

DataKitchen

JANUARY 10, 2022

James Royster, currently head of Data Analytics at Adamas Pharmaceuticals and former head of Data Strategy and Operations at Celgene added, “At Celgene we followed the principles described in this book and it had a transformative effect on our organization.

Enterprise 169

Enterprise Data Analytics Data Strategy Modeling 169

Dataiku

SEPTEMBER 21, 2021

To truly extract value from their data science, machine learning, and AI investments, organizations need to embed AI methodology into the core of not only their data strategy, but their holistic business model and processes.

Measurement 125

Measurement Machine Learning Data Science Data Strategy 125

BI-Survey

JANUARY 7, 2025

Merv Adrian and Shawn Rogers discuss practical strategies for modernizing data infrastructures to unlock AI capabilities. Disrupting Data Governance with Laura Madsen & Tiankai Feng Explore how disruptive approaches to data governance are reshaping businesses ability to manage and leverage data.

Statistics 52

Statistics Data-driven Data Strategy Strategy 52

CIO Business Intelligence

JUNE 14, 2022

Of course, building a vision and culture around data that gets your company to that point is the trick. The first step, according to EY, is to adopt a visionary core data strategy. Such a strategy should connect how data will inform, support, and drive an organization’s short- and long-term strategic business plans.

Data Transformation 145

Data Transformation Data-driven Data Strategy Strategy 145

Andrew White

MARCH 21, 2022

I have just completed some research with the name, “Sovereign Data Strategies and What they mean to you Organization”. This is in preparation for our upcoming Data and Analytics conference series. Trying to learn about and explore the impact of a range of sovereign data strategies is both complex and fun.

Data Strategy 105

Data Strategy Strategy Measurement Marketing 105

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

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

BizAcuity

NOVEMBER 13, 2024

Business intelligence consulting services offer expertise and guidance to help organizations harness data effectively. Beyond mere data collection, BI consulting helps businesses create a cohesive data strategy that aligns with organizational goals.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

CIO Business Intelligence

MARCH 4, 2025

Jim Liddle, chief innovation officer for AI and data strategy at hybrid-cloud storage company Nasuni, questions the likelihood of large hyperscalers offering management services for all agents. This opens the door for a new crop of startups, including AgentOps and OneReach.ai.

Management 119

Management IT Cost-Benefit Enterprise 119

CIO Business Intelligence

MARCH 19, 2025

When I joined RGA, there was already a recognition that we could grow the business by building an enterprise data strategy. We were already talking about data as a product with some early building blocks of an enterprise data product program. How did you educate your board about modern uses of data?

Metrics 64

Metrics Enterprise Cost-Benefit Experimentation 64