Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

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Machine Learning Forecasting Manufacturing Predictive Analytics 98

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

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Machine Learning Data Science Statistics Deep Learning 59

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

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Machine Learning Marketing Forecasting Modeling 51

DataRobot Blog

JANUARY 17, 2023

As a data scientist, one of the best things about working with DataRobot customers is the sheer variety of highly interesting questions that come up. Peek into our conversation to learn when machine learning does—and doesn’t—work well in financial markets use cases. For price discovery (e.g., For price discovery (e.g.,

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Machine Learning Marketing Experimentation Modeling 87

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Unleashing the Power of Data Connections Zenia Graph isn’t just another data solution company.

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Cloudera

OCTOBER 25, 2021

At Cloudera, we believe that data can make what is impossible today, possible tomorrow. There are many good uses of data. With data, we can monitor our business, the overall business, or specific business units. With data, we can discover new market opportunities, and review where we stand compared to the global market.

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Machine Learning Data-driven Measurement Marketing 85

Cloudera

AUGUST 17, 2021

Dear Parents and Educators and Friends of Cloudera, If you are reading this blog, you know us at Cloudera as a group of self-described data geeks and data analysts. We believe data drives better decisions and moves businesses forward and for us, that’s exciting. No age is too early to start teaching data literacy.

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Machine Learning Recreation/Entertainment Data-driven Enterprise 121

Smart Data Collective

SEPTEMBER 8, 2020

You can see how big data and AI are being utilized by the most astute CBD marketers. You can get a better sense of the role that big data plays in the changing direction of the market. So how can you stand out in a crowded marketplace by leveraging data analytics ? Big Data is Driving Major Changes in the CBD Industry.

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Cloudera

AUGUST 6, 2021

This landscape is one that presents opportunities for a modern data-driven organization to thrive. At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles. Data Strategy. Data and decision culture.

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Cloudera

APRIL 23, 2024

The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.

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Smart Data Collective

AUGUST 29, 2019

The sales profession is responding to major changes brought by big data. The big data revolution is making the sales industry more efficient and effective than ever. In 2019, Forbes contributor Louis Columbus wrote a great article on the ways that big data is changing the sales and marketing profession. Start blogging.

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Sales Data-driven Marketing Strategy 74

Rocket-Powered Data Science

JULY 6, 2021

If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. Data catalogs are very useful and important.

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Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. These changes may include requirements drift, data drift, model drift, or concept drift. I suggest that the simplest business strategy starts with answering three basic questions: What?

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Strategy Experimentation Uncertainty Machine Learning 289

Sisense

JULY 6, 2020

Analytics and data are changing every facet of our world. In The State of BI & Analytics , we expand on our original research, keeping you ahead of the curve on the world of analytics, data, and business intelligence. When forced to make important decisions, business leaders use data to chart a course.

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DataKitchen

MAY 10, 2021

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . Blog: What is DataOps ? White Paper: DataOps is Not Just DevOps for Data . Blog: 4 Easy Ways to Start DataOps Today.

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Data-driven Data Architecture Machine Learning Strategy 130

Smart Data Collective

AUGUST 31, 2020

Big data is the lifeblood of modern app development. App developers should also use data analytics to maximize their monetization opportunities. They are embracing new big data initiatives to find the best opportunities. They are embracing new big data initiatives to find the best opportunities. Ads Monetization Model.

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Data-driven Modeling Advertising Big Data 105

AWS Big Data

MARCH 30, 2023

An event-driven architecture is a software design pattern in which decoupled applications can asynchronously publish and subscribe to events via an event broker. Amazon Elastic Kubernetes Service (Amazon EKS) is becoming a popular choice among AWS customers to host long-running analytics and AI or machine learning (ML) workloads.

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Data-driven Metadata Testing Management 69

Alation

FEBRUARY 13, 2020

Earlier this month in London, more than 1,600 data and analytics leaders and professionals gathered for the Gartner Data & Analytics Summit. From niche breakout sessions to the packed opening keynote—where “AI” was one of three leading trends along with “data driven” and “privacy”— AI was everywhere.

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Machine Learning Data Analytics Analytics Metadata 52

AWS Big Data

MAY 4, 2023

Encored develops machine learning (ML) applications predicting and optimizing various energy-related processes, and their key initiative is to predict the amount of power generated at renewable energy power plants. The amount of data and the number of power plants they need to collect data are rapidly increasing over time.

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Data-driven Technology Cost-Benefit Machine Learning 52

datapine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. Wondering which data science book to read?

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Rocket-Powered Data Science

MARCH 19, 2019

We hear a lot of hype that says organizations should be “ Data – first ”, or “AI- first , or “ Data – driven ”, or “ Technology – driven ”. Analytics are the products, the outcomes, and the ROI of our Big Data , Data Science, AI, and Machine Learning investments!

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Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. TDWI – David Loshin.

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Metadata Management Business Intelligence Data Governance 52

Sisense

JUNE 22, 2021

Your customers interact with multiple campaigns: They start with a TV ad, see a Facebook ad, see a Google Ad two days later, discover an SEO-driven blog article, and finally click on an email discount offer to make a purchase. Get a unified view of all your marketing data sources. Learn more.

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Data-driven Sales Marketing Key Performance Indicator 52

Birst BI

JANUARY 16, 2018

If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics. Machine learning has two imminent, profound implications for individuals and companies using BI and analytics applications.

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CIO Business Intelligence

MARCH 13, 2023

By Ram Velaga, Senior Vice President and General Manager, Core Switching Group This article is a continuation of Broadcom’s blog series: 2023 Tech Trends That Transform IT. Stay tuned for future blogs that dive into the technology behind these trends from more of Broadcom’s industry-leading experts.

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CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. 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.

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Jet Global

SEPTEMBER 29, 2021

The Importance of Data-Driven Finance Leaders. To meet this shift in roles, the new breed of Finance leader is increasingly becoming data-driven, combining quality data drawn from multiple sources to put strategic decisions in context and choose the highest-impact business direction.

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Cloudera

JULY 18, 2018

As such, we are witnessing a revolution in the healthcare industry, in which there is now an opportunity to employ a new model of improved, personalized, evidence and data-driven clinical care. Additionally, organizations are increasingly restrained due to budgetary constraints and having limited data sciences resources.

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Machine Learning Predictive Analytics Analytics Prescriptive Analytics 52

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

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Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.

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Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. Sound familiar? What is CDSW? Install any library or framework (e.g.

Data Science 75

Data Science Machine Learning Experimentation Cost-Benefit 75

IBM Big Data Hub

JANUARY 19, 2024

The future of customer experience (CX) is more : more data, more technology, more surprising and delighting. Organizations can better personalize at scale using data. Customers will use AI- and ML-driven self-service tools, such as generative AI apps and conversational AI chatbots, to get the information they need.

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Smart Data Collective

MAY 11, 2023

Since the launch of Smart Data Collective, we have talked at length about the benefits of AI for mobile technology. Bhaval Patel of Space-O Technologies wrote a blog post about the growing importance of AI for mobile apps. Bhaval Patel of Space-O Technologies wrote a blog post about the growing importance of AI for mobile apps.

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Cost-Benefit Optimization Data-driven Marketing 99

CIO Business Intelligence

APRIL 11, 2022

In December 2021, Broadcom Software published our blog: Predictions for 2022. We will now explore each of these predictions in more depth with this blog series. For this blog, our topic is artificial intelligence. First, artificial intelligence algorithms are designed to make decisions, often by using real-time data.

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Software Data-driven Machine Learning Testing 96

Smart Data Collective

APRIL 21, 2022

We have pointed out in the past that big data offers a number of benefits for online commerce. One of the most important benefits of data analytics pertains to optimizing websites for a good user experience. Data analytics can help with the UX process. Here are five ways you can improve the UX of your website with big data.

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Smart Data Collective

APRIL 10, 2020

Machine learning is helping companies in every sector optimize their business models. Machine learning advances are helping companies solve some of their most obvious problems. Machine learning can help with both. Fortunately, new big data technology can address all of them. The IRS imposed $29.3

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Machine Learning Cost-Benefit Big Data Forecasting 114

IBM Big Data Hub

NOVEMBER 29, 2023

Check out the webcast, “ Leveraging AI for Real-Time Event Processing ,” by Stephane Mery, IBM Distinguished Engineer and CTO of Event Integration, to learn more about these concepts. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

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