KDnuggets

SEPTEMBER 2, 2019

Without a well-defined approach for collecting and structuring training data, launching an AI initiative becomes an uphill battle. These six recommendations will help you craft a successful strategy.

Machine Learning 98

Machine Learning Strategy Data Strategy 98

Analytics Vidhya

JULY 9, 2024

Netflix employs sophisticated data strategies to ensure it’s tough to hit the stop button once you start watching, or you can say Netflix uses Data Science. Yep, your weekend binge […] The post Behind the Screen: How Netflix Uses Data Science? That’s no coincidence.

Data Science 336

Data Science Data Strategy Strategy Analytics 336

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 also used to deploy machine learning models, data streaming platforms, and databases.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

Smart Data Collective

APRIL 3, 2022

More companies than ever are investing in big data. However, many feel that their data strategies are not proving to be effective. According to a report by VentureBeat, only 13% of companies feel that their data strategies are providing the results they are looking for.

Data Strategy 111

Data Strategy Strategy Data-driven Big Data 111

Srividya Sridharan

JUNE 12, 2019

This month’s Insights Beat focuses on the latest research in our insights-driven playbook; showcases multiple data, analytics, and machine-learning vendor evaluations; and shines a light on B2B analytics techniques. Is Your Data Strategy Lacking?

Data Strategy 92

Data Strategy Strategy B2B Machine Learning 92

CIO Business Intelligence

MAY 23, 2024

Simple BI tools are no longer capable of handling this huge volume and variety of data, so more advanced analytical tools and algorithms are required to get the kind of meaningful, actionable insights that businesses need. In response to this challenge, vendors have begun offering Machine Learning as a Service (MLaaS).

Machine Learning 111

Machine Learning Forecasting Business Intelligence Software 111

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. According to VentureBeat , fewer than 15% of Data Science projects actually make it into production.

Management 364

Management Experimentation B2B Machine Learning 364

Rocket-Powered Data Science

MARCH 19, 2021

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. A lot has changed in those five years, and so has the data landscape.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

NOVEMBER 27, 2024

To meet current and future requirements, enterprises must implement robust compliance frameworks that include real-time monitoring and proactive reporting mechanisms And business leaders know the risk of ineffective data governance strategies.

Data Governance 132

Data Governance Risk Insurance Metadata 132

Cloudera

AUGUST 30, 2022

Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. In some cases, firms are surprised by cloud storage costs and looking to repatriate data. Embrace incremental progress.

Strategy 107

Strategy Data Strategy Cost-Benefit ROI 107

TDAN

APRIL 5, 2022

Regardless of how accurate a data system is, it yields poor results if the quality of data is bad. As part of their data strategy, a number of companies have begun to deploy machine learning solutions.

Machine Learning 98

Machine Learning Data Quality Data Strategy Strategy 98

TDAN

SEPTEMBER 3, 2019

Are you worried about the security of your valuable data? Well, with the massive growth of business data in terms of complexity, volume and size, it is basic for worldwide associations to build up a strong data technique to address the main business needs. If you are working in an IT vertical then it is […].

Machine Learning 73

Machine Learning Data Strategy Strategy IT 73

CIO Business Intelligence

NOVEMBER 4, 2024

research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. 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. Nutanix commissioned U.K.

Marketing 128

Marketing Data Quality Data Governance Digital Transformation 128

Cloudera

DECEMBER 14, 2022

The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved risk management. OCBC also won a Cloudera Data Impact Award 2022 in the Transformation category for the project.

Data Strategy 81

Data Strategy Strategy IT Contextual Data 81

Rocket-Powered Data Science

MARCH 19, 2019

Analytics are the products, the outcomes, and the ROI of our Big Data , Data Science, AI, and Machine Learning investments! AI strategies and data strategies should therefore focus on outcomes first.

Analytics 193

Analytics Metrics Data-driven Machine Learning 193

CIO Business Intelligence

AUGUST 23, 2023

Having joined its executive team 18 months ago, CDIO Jennifer Hartsock oversees its global technology portfolio, and digital and data strategies, so she has to keep track of a lot of moving parts, both large and small, to help achieve the company’s big corporate strategy about being ‘better together.’ “It

Data Strategy 98

Data Strategy Strategy B2B Digital Transformation 98

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

DECEMBER 5, 2024

These tools empower users with sector-specific expertise to manage data without extensive programming knowledge. Features such as synthetic data creation can further enhance your data strategy. Opt for platforms that can be deployed within a few months, with easily integrated AI and machine learning capabilities.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

Smart Data Collective

NOVEMBER 24, 2020

Big data is central to the success of modern marketing strategies. Today, more than ever, companies need to find more innovative ways to leverage data analytics to create a competitive edge in an everchanging landscape. One of the most important, yet overlooked, benefits of data is with scheduling.

Marketing 132

Marketing Optimization Strategy Big Data 132

Cloudera

APRIL 13, 2021

You’ve probably heard it more than once: Machine learning (ML) can take your digital transformation to another level. We recently published a Cloudera Special Edition of Production Machine Learning For Dummies eBook. The post 10 Steps to Achieve Enterprise Machine Learning Success appeared first on Cloudera Blog.

Machine Learning 98

Machine Learning Enterprise Experimentation Modeling 98

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 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

AWS Big Data

OCTOBER 29, 2024

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight.

Data Lake 108

Data Lake Sales Metadata Machine Learning 108

CIO Business Intelligence

APRIL 8, 2025

I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. However, even the most sophisticated models and platforms can be undone by a single point of failure: poor data quality. This challenge remains deceptively overlooked despite its profound impact on strategy and execution.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Cloudera

MARCH 25, 2021

Risk management can be optimized by the improved use of data and analytics to run models, account for more variables and scrutinize probable outcomes. Machine learning is proven to help in the fight against fraud. Financial institutions and insurers understand the benefits of more data. It’s just not easy.

Data Strategy 65

Data Strategy Strategy Enterprise Insurance 65

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

TDAN

MARCH 17, 2020

Top Data Management Problems The modern world functions on information. A primary aspect of data management is digitizing large amounts of documents, books, and reports that have been collected for hundreds of years. The Great Volume of Data The more that data is digitized and […].

Machine Learning 119

Machine Learning Management Reporting Data Strategy 119

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Smart Data Collective

JANUARY 9, 2023

Thankfully, there are ways to take advantage of the modern-day widespread access to data and truly get the most value possible from it. The answer lies in the utilization of AI and machine learning technology to assist with all of the steps associated with using data from collection to analysis.

Machine Learning 145

Machine Learning Software Strategy Marketing 145

Data Virtualization

DECEMBER 9, 2021

But do you wonder what the future of data strategy looks like? Data exploration and analysis can bring enormous value to a business. The post The Future of Data Strategy appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

CIO Business Intelligence

NOVEMBER 25, 2024

How to ensure a quality data approach in AI initiatives Building successful AI initiatives starts with a strong data foundation. That’s why our platform is designed to make it easier for organizations to ensure data quality at every step. From curation to integration, we help you align your data strategy with your AI goals.

Data Quality 99

Data Quality ROI Interactive Modeling 99

TDAN

JULY 20, 2021

As AI continues to penetrate many areas of our lives, the music industry is no exception. Although there are many music production-related applications that involve AI, too many of them look like fun science projects without any applicability to the craft.

Machine Learning 105

Machine Learning Data Strategy Big Data Business Intelligence 105

Rocket-Powered Data Science

JULY 13, 2023

The business challenges then become manifold: talent and technologies now must be harnessed, choreographed, and synchronized to keep up with the data flows that carry and encode essential insights flowing through business processes at light speed. However, we are not into clear sailing just yet in the sea of data. Source: [link]

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

CIO Business Intelligence

APRIL 6, 2022

For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. Thinking about that intelligence as having millions of loosely connected decision points at the edge requires a different strategy, and you can’t micromanage it.

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

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. Amazon DataZone plays an essential role in facilitating data product management for the domain teams.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

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.” How To Build A Successful Enterprise Data Strategy. The Age of Hype Cycles.

Digital Transformation 142

Digital Transformation Experimentation Data Science Data Strategy 142

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 Strategy Data Science 125

Smart Data Collective

JANUARY 26, 2021

Big data technology has been instrumental in helping organizations translate between different languages. We covered the benefits of using machine learning and other big data tools in translations in the past. Using a Translation Company with Your Big Data Strategy. If it happens, technology can monitor it.

Data Architecture 141

Data Architecture Big Data Data Strategy Data-driven 141