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 77

Data Strategy Strategy IT Contextual Data 77

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. The world is becoming more and more digital, isn’t it?

Data Strategy 98

Data Strategy Strategy IT Data Governance 98

Cloudera

JULY 9, 2021

If you’ve followed Cloudera for a while, you know we’ve long been singing the praises—or harping on the importance, depending on perspective—of a solid, standalone enterprise data strategy. The ways data strategies are implemented, the resulting outcomes and the lessons learned along the way provide important guardrails.

Data Strategy 110

Data Strategy Strategy Data-driven Machine Learning 110

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

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 97

Machine Learning Enterprise Experimentation Modeling 97

Cloudera

NOVEMBER 18, 2020

By combining workloads to a single data platform, the company improved the customer experience and found new proactive control alerts that protect customers from poor outcomes due to financial crimes. . 2- Leverage Real-time Data and Machine Learning. Learn more about Simudyne here. fraud identification.

Data Strategy 103

Data Strategy Strategy Machine Learning Risk 103

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 57

Data Strategy Strategy Business Objectives Data-driven 57

TDAN

JANUARY 31, 2023

At one point, I asked myself whether I could utilize my data science expertise to get better marketing results. For the larger part of my SEO career, I was leading a team of a dozen marketing specialists working on multiple SaaS or affiliate projects. Obviously, the answer was ‘yes’, but what surprised me was the […]

Machine Learning 98

Machine Learning Data Science Marketing Data Strategy 98

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 95

Data Strategy Strategy Data-driven Big Data 95

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 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

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 Data-driven 92

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 96

Data Strategy Strategy B2B Digital Transformation 96

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 88

Machine Learning Strategy Data Strategy 88

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

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

Cloudera

AUGUST 30, 2022

Meanwhile, innovations such as machine learning, artificial intelligence, blockchain, open APIs, 5G, and cloud require providers to reinvent their technology approach to keep pace, better understand, and better serve their customers. In some cases, firms are surprised by cloud storage costs and looking to repatriate data.

Strategy 102

Strategy Data Strategy ROI Cost-Benefit 102

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 Business Intelligence Big Data 105

Cloudera

MARCH 25, 2021

Data lies at the heart of knowing the customer and enabling a better customer experience. 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. It’s just not easy.

Data Strategy 64

Data Strategy Strategy Enterprise Insurance 64

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

TreehouseTechGroup

SEPTEMBER 2, 2020

Equally, research has focused on enabling computers to glean insights from data, which can help improve the originally… The post How Machine Learning Is Uncovering New Insights From Data appeared first on Treehouse Tech Group.

Machine Learning 52

Machine Learning IT Data Strategy Business Intelligence 52

Data Virtualization

MARCH 17, 2022

This growth is due to diverse data generators across consumer and enterprise landscapes, including hundreds of cloud applications, smartphones, websites, and social media networks, with each source generating. The post Don’t Drown in Redundant Data Copies.

Data Strategy 52

Data Strategy Strategy Data Integration Enterprise 52

Data Virtualization

MARCH 17, 2022

This growth is due to diverse data generators across consumer and enterprise landscapes, including hundreds of cloud applications, smartphones, websites, and social media networks, with each source generating. The post Don’t Drown in Redundant Data Copies.

Data Strategy 52

Data Strategy Strategy Data Integration Enterprise 52

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 Deep Learning 167

CIO Business Intelligence

MAY 14, 2024

This project focuses on this very classic problem of taking a highly manual process, applying some readily available kind of classic automation techniques,” says Grace Preyapongpisan, director of data strategy and operations for the King County Department of IT.

Deep Learning 79

Deep Learning Machine Learning Reporting Experimentation 79

Rocket-Powered Data Science

OCTOBER 6, 2023

In the enterprise, sentinel analytics is most timely and beneficial when applied to real-time, dynamic data streams and time-critical decisions. One could say that sentinel analytics is more like unsupervised machine learning, while precursor analytics is more like supervised machine learning. ” “91.9%

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

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

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 363

Management Experimentation B2B Machine Learning 363

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

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 125

Machine Learning Software Strategy Marketing 125

CIO Business Intelligence

NOVEMBER 14, 2022

Modern analytics is about scaling analytics capabilities with the aid of machine learning to take advantage of the mountains of data fueling today’s businesses, and delivering real-time information and insights to the people across the organization who need it.

Analytics 102

Analytics Machine Learning Testing Data Strategy 102

CIO Business Intelligence

APRIL 12, 2023

Real-time AI involves processing data for making decisions within a given time frame. 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. It isn’t easy.

Machine Learning 137

Machine Learning Cost-Benefit Data-driven Strategy 137

Rocket-Powered Data Science

MARCH 19, 2019

A better prescription for business success is for our organization to be analytics – driven and thus analytics-first , while being data -informed and technology -empowered. Analytics are the products, the outcomes, and the ROI of our Big Data , Data Science, AI, and Machine Learning investments!

Analytics 193

Analytics Metrics Data-driven Machine Learning 193

TreehouseTechGroup

APRIL 2, 2020

In order to make the right decision… The post The Unseen Warrior: How Data Analytics, Machine Learning, and Artificial Intelligence are Working to Identify and Fight the Coronavirus Pandemic appeared first on Treehouse Tech Group.

Machine Learning 52

Machine Learning Data Analytics Analytics Measurement 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

AWS Big Data

NOVEMBER 15, 2023

F1 uses all that data with AWS to gain insights on race strategy and car performance. Stop by the AWS for Data booth in the AWS Village to get data strategy advice from an AI-powered Data Concierge created by the AWS Generative AI Innovation Center.

Broadcasting 114

Broadcasting Recreation/Entertainment Data Governance Strategy 114

CIO Business Intelligence

APRIL 30, 2024

Your AI strategy is only as good as your data strategy,” Tableau CMO Elizabeth Maxon said in a press conference Monday. But to us, it’s more than just having a data strategy; it’s also about building a great foundation of a data culture.”

Analytics 79

Analytics Metrics Visualization Dashboards 79

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 Strategy Strategy 142