Cloudera

JUNE 9, 2022

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

Data Collection 94

Data Collection IoT Data Lake Unstructured Data 94

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Guan believes that having the ability to harness data is non-negotiable in today’s business environment.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Plus, AI can also help find key insights encoded in data.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

CIO Business Intelligence

APRIL 24, 2025

Enterprises worldwide are harboring massive amounts of data. Although data has always accumulated naturally, the result of ever-growing consumer and business activity, data growth is expanding exponentially, opening opportunities for organizations to monetize unprecedented amounts of information.

Data-driven 134

Data-driven Marketing Risk Sales 134

Rocket-Powered Data Science

JULY 6, 2021

Data and network access controls have similar user-based permissions when working from home as when working behind the firewall at your place of business, but the security checks and usage tracking can be more verifiable and certified with biometric analytics. This is critical in our massively data-sharing world and enterprises.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

Cloudera

APRIL 22, 2022

Communications service providers (CSPs) are rethinking their approach to enterprise services in the era of advanced wireless connectivity and 5G networks, as well as with the continuing maturity of fibre and Software-Defined Wide Area Network (SD-WAN) portfolios. . Location-specific data.

Enterprise 134

Enterprise Internet of Things Manufacturing Management 134

Dataiku

JUNE 27, 2024

Data collection is not new to the enterprise and serves as the foundation for all analytics across organizations. However, collecting information about someone’s gender, race, religion, or sexual orientation has a storied history around the world. Many ask, “Why do you need this data?

Data Collection 64

Data Collection Reporting Enterprise Analytics 64

CIO Business Intelligence

FEBRUARY 20, 2025

The data retention issue is a big challenge because internally collected data drives many AI initiatives, Klingbeil says. With updated data collection capabilities, companies could find a treasure trove of data that their AI projects could feed on. of their IT budgets on tech debt at that time.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

CIO Business Intelligence

NOVEMBER 19, 2024

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.

Management 116

Management Unstructured Data Deep Learning Metadata 116

CIO Business Intelligence

NOVEMBER 1, 2023

One of the first use cases of artificial intelligence in many companies, including both Michelin and Albemarle, was predictive maintenance, which at its most basic level is an algorithm trained on data collected by sensors. To fill the gap, many companies complement the real data with synthetic data.

Enterprise 131

Enterprise Digital Transformation Modeling Interactive 131

CIO Business Intelligence

SEPTEMBER 19, 2023

And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. According to a report from OpsRamp , enterprises are using AIOps platforms for intelligent alerting (70%), root cause analysis (57%), anomaly and threat detection (52%), incident auto-remediation (50%), and capacity optimization (27%).

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

O'Reilly on Data

MAY 14, 2020

The foundation of any data product consists of “solid data infrastructure, including data collection, data storage, data pipelines, data preparation, and traditional analytics.” These companies often have access to a lot of data at the beginning of the development cycle—also unlike consumer products.

Management 364

Management Experimentation B2B Machine Learning 364

Rocket-Powered Data Science

MARCH 10, 2020

“Shocking Amount of Data” An excerpt from my chapter in the book: “We are fully engulfed in the era of massive data collection. All those data represent the most critical and valuable strategic assets of modern organizations that are undergoing digital disruption and digital transformation.

Data Collection 248

Data Collection Digital Transformation Big Data Forecasting 248

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. What is the modern data stack? In the modern data stack, there is a diverse set of destinations where data needs to be delivered.

Enterprise 104

Enterprise Data Lake Data Collection Data-driven 104

Rocket-Powered Data Science

MARCH 19, 2021

The dynamic changes of the business requirements and value propositions around data analytics have been increasingly intense in depth (in the number of applications in each business unit) and in breadth (in the enterprise-wide scope of applications in all business units in all sectors).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

FineReport

FEBRUARY 28, 2020

What Is Enterprise Reporting? Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. Common Problems With Enterprise Reporting.

Reporting 96

Reporting Enterprise Visualization OLAP 96

Sisense

JULY 6, 2020

Employing Enterprise Data Management (EDM). What is enterprise data management? Companies looking to do more with data and insights need an effective EDM setup in place. The team in charge of your company’s EDM is focused on a set of processes, practices, and activities across the entire data lineage process.

Enterprise 98

Enterprise Management Data Architecture Data-driven 98

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics.

Enterprise 105

Enterprise Experimentation Machine Learning Data Science 105

Rocket-Powered Data Science

JUNE 17, 2022

.’ Observability delivers actionable insights, context-enriched data sets, early warning alert generation, root cause visibility, active performance monitoring, predictive and prescriptive incident management, real-time operational deviation detection (6-Sigma never had it so good!), Reference ) Splunk Enterprise 9.0

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Rocket-Powered Data Science

MAY 21, 2024

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. Summary AI devours data. I believe that the time, place, and season for artificial intelligence (AI) data platforms have arrived. AI Then and AI Now!

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

O'Reilly on Data

JUNE 18, 2019

Even with advances in building robust models, the reality is that noisy data and incomplete data remain the biggest hurdles to effective end-to-end solutions. The problem is even more magnified in the case of structured enterprise data. These data sets are often siloed, incomplete, and extremely sparse.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

CIO Business Intelligence

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. What is the modern data stack? In the modern data stack, there is a diverse set of destinations where data needs to be delivered.

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

David Menninger's Analyst Perspectives

SEPTEMBER 24, 2024

As I’ve written recently , artificial intelligence governance is a concern for many enterprises. In our recent ISG Market Lens study on generative AI, 39% of participants cited data privacy and security among the biggest inhibitors to adopting AI. Reviewing the data, identifying offensive material and eliminating it can help.

Testing 173

Testing Modeling Enterprise Risk 173

Rocket-Powered Data Science

JULY 13, 2023

Data is more than just another digital asset of the modern enterprise. As illustrated here, you can practically see the speed of business questions accelerating across the whole enterprise. Access to data has done that. It is an essential asset. And it is now a fundamental feature of any successful organization.

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

O'Reilly on Data

OCTOBER 16, 2018

Create a coherent BI strategy that aligns data collection and analytics with the general business strategy. They recognize the instrumental role data plays in creating value and see information as the lifeblood of the organization. That’s why decision-makers consider business intelligence their top technology priority.

Business Intelligence 235

Business Intelligence Data Science Descriptive Analytics Data Collection 235

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. If humans are no longer needed to write enterprise applications, what do we do? Given the rate at which data is created, data collection has to be automated.

Machine Learning 279

Machine Learning Software Metadata Testing 279

IBM Big Data Hub

FEBRUARY 23, 2024

Enterprises can use NLU to offer personalized experiences for their users at scale and meet customer needs without human intervention. It signifies a shift in human-digital interaction, offering enterprises innovative ways to engage with their audience, optimize operations, and further personalize their customer experience.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

O'Reilly on Data

MARCH 31, 2020

The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies. For enterprise products , requirements often come from a small number of vocal customers with large accounts. If you can’t walk, you’re unlikely to run.

Management 363

Management Machine Learning Experimentation Metrics 363

datapine

APRIL 16, 2019

3) Gather data now. Gathering the right data is as crucial as asking the right questions. For smaller businesses or start-ups, data collection should begin on day one. Once it is identified, check if you already have this data collected internally, or if you need to set up a way to collect it or acquire it externally.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Smart Data Collective

MAY 16, 2022

Data management systems provide a systematic approach to information storage and retrieval and help in streamlining the process of data collection, analysis, reporting, and dissemination. It also helps in providing visibility to data and thus enables the users to make informed decisions.

Management 136

Management Data mining Data Warehouse Data Collection 136

Cloudera

DECEMBER 6, 2024

The AI Forecast: Data and AI in the Cloud Era , sponsored by Cloudera, aims to take an objective look at the impact of AI on business, industry, and the world at large. Data collectives are going to merge over time, and industry value chains will consolidate and share information. It’s not direct competitors.

Manufacturing 82

Manufacturing Forecasting Metadata Data Processing 82

Smart Data Collective

SEPTEMBER 30, 2022

An enterprise cannot just become successful based on the ideas or business plans of its creator. Before your enterprise can become successful, you will need to fund it. Unfortunately, the amount of money needed to finance an enterprise can sometimes be larger than what you can bear. This is especially true for cloud startups.

Finance 124

Finance Data Processing Data Collection Enterprise 124

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

Cloudera

JANUARY 20, 2021

The six steps are: Data Collection – data ingestion and monitoring at the edge (whether the edge be industrial sensors or people in a brick and mortar retail store). Data Enrichment – data pipeline processing, aggregation & management to ready the data for further refinement.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

CIO Business Intelligence

SEPTEMBER 5, 2024

Oracle is an enterprise software vendor based in Austin, Texas. Oracle’s $115 million privacy settlement could change industry data collection methods July 23, 2024: In addition to the payment, Oracle has agreed to stop tracking users in various ways. Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

Enterprise 119

Enterprise Software Manufacturing Data-driven 119

Rocket-Powered Data Science

JULY 21, 2023

Here are four specific metrics from the report, highlighting the potentially huge enterprise system benefits coming from implementing Splunk’s observability and monitoring products and services: Four times as many leaders who implement observability strategies resolve unplanned downtime in just minutes, not hours or days.

Machine Learning 190

Machine Learning Metrics Internet of Things Reporting 190

Smart Data Collective

DECEMBER 9, 2021

Businesses already have a wealth of data but understanding your business will help you identify a data need – what kind of data your business needs to collect and if it collects too much or too little of certain data. Collecting too much data would be overwhelming and too little – inefficient.

Big Data 142

Big Data Data-driven Key Performance Indicator Testing 142