Smart Data Collective

AUGUST 30, 2022

Enterprise cloud technology applications are the future industry standard for corporations. Here’s how enterprises use cloud technologies to achieve a competitive advantage in their essential business applications. Big data analytics. Testing new programs.

Technology 133

Technology Enterprise Cost-Benefit Testing 133

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

CIO Business Intelligence

SEPTEMBER 21, 2023

Generative AI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. Gen AI is that amplification and the world’s reaction to it is like enterprises and society reacting to the introduction of a foreign body. “We

Enterprise 127

Enterprise Consulting Modeling Cost-Benefit 127

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

bridgei2i

SEPTEMBER 23, 2020

WEBCAST: Automated Business Surveillance for Enterprises with BRIDGEi2i’s Watchtower. As businesses grow complex, tracking signals from separate functions becomes difficult; data flows from all domains and verticals. Enterprises need to be highly responsive to any anomalies and to derive actionable insights faster.

Enterprise 97

Enterprise Unstructured Data Data Lake Digital Transformation 97

CIO Business Intelligence

OCTOBER 19, 2023

That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech. As well as why data in silos is a threat that demands a separate discussion. This enables the system to examine the data before transforming and altering it.

Data Integration 122

Data Integration Unstructured Data Data-driven Data Warehouse 122

Sisense

MARCH 9, 2020

The first step towards doing that is to bring all your organization’s data: all your disparate datasets, wherever they live (on-prem and in a variety of cloud sources, no doubt) into an enterprise BI tool. All this data needs to come together in one place in order for the organization to reap the benefits of an enterprise BI tool.

Data Integration 93

Data Integration Enterprise Slice and Dice Digital Transformation 93

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 131

Analytics Data Science Unstructured Data Data mining 131

Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases.

Analytics 92

Analytics Unstructured Data IoT Visualization 92

IBM Big Data Hub

JULY 12, 2023

In less than a year, we’ve gone from the “run your business and apply AI to help” paradigm to a reality where enterprises in every industry are navigating how to embed AI into the fabric of their strategies. Generative AI based on foundation models has brought us to this inflection point.

Enterprise 57

Enterprise Unstructured Data Modeling Machine Learning 57

IBM Big Data Hub

NOVEMBER 29, 2023

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Stream analytics can be used to help improve the speed and accuracy of models’ predictions.

Unstructured Data 92

Unstructured Data Data-driven ROI Machine Learning 92

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. What is Data Science? Typical tools for data science: SAS, Python, R.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data.

Data Lake 112

Data Lake Analytics Dashboards Metrics 112

bridgei2i

AUGUST 25, 2020

Enterprise. Increased customer expectations and an explosion of data have propelled businesses to go increasingly digital. Modern-day enterprises are trying to Sense, Learn, and Act to use these data for better CX, OE, or to execute whole New Business Models. Interested in peeking into the future of a digital enterprise?

Enterprise 52

Enterprise Unstructured Data Digital Transformation Statistics 52

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer job description.

Analytics 121

Analytics Data Science Statistics Unstructured Data 121

bridgei2i

MARCH 11, 2021

Road to Automation – Partnering with Enterprise AI Companies. The commercial model of an enterprise AI company is simple – help technologically handicapped businesses make the most of AI technology. For centuries, enterprises have depended on new technology to stay a few steps ahead of their competitors.

Enterprise 52

Enterprise Unstructured Data Machine Learning Sales 52

IBM Big Data Hub

APRIL 16, 2024

A coordinated partnership: How these tools work together By using IBM Db2, IBM watsonx Assistant and NeuralSeek, we offer a comprehensive solution that streamlines data management, enhances accessibility, and helps to ensure security and integrity across your enterprise.

Unstructured Data 87

Unstructured Data Data-driven Enterprise Technology 87

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 111

Analytics IoT Data-driven Snapshot 111

CIO Business Intelligence

AUGUST 9, 2023

Generative AI “fuel” and the right “fuel tank” Enterprises are in their own race, hastening to embrace generative AI ( another CIO.com article talks more about this). Unstructured data needs for generative AI Generative AI architecture and storage solutions are a textbook case of “what got you here won’t get you there.”

Unstructured Data 86

Unstructured Data Modeling Data Architecture Enterprise 86

CIO Business Intelligence

JULY 23, 2023

More than 60% of corporate data is unstructured, according to AIIM , and a significant amount of this unstructured data is in the form of non-traditional “records,” like text and social media messages, audio files, video, and images.

Data Governance 84

Data Governance Unstructured Data Cost-Benefit Machine Learning 84

Smarten

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Business Intelligence. Dashboards. Cross-Tab Reporting.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

CIO Business Intelligence

MAY 9, 2024

In today’s data-driven world, the ability to seamlessly integrate structured and unstructured data in a hybrid cloud environment is critical for organizations seeking to harness the full potential of their data assets. However, many enterprises face significant challenges in achieving this seamlessly.

Digital Transformation 52

Digital Transformation Data Integration Unstructured Data Data-driven 52

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. Why Enterprise Knowledge Graphs? Knowledge graphs offer a smart way out of these challenges.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Andrew White

DECEMBER 9, 2019

The client had recently engaged with a well-known consulting company that had recommended a large data catalog effort to collect all enterprise metadata to help identify all data and business issues. With this, the recommendation was the formation of a large enterprise data governance board with CEO sponsorship.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new. Inability to get data quickly.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data.

Unstructured Data 118

Unstructured Data Metadata Management Analytics 118

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. The use of Cloudera Enterprise enables staff to focus on aviation and business challenges instead of worrying about monitoring the cluster or platform upgrades.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

Sisense

MARCH 26, 2021

Newly published research shows that companies aren’t getting the most out of their analytics. Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

CIO Business Intelligence

FEBRUARY 16, 2023

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Unstructured Data 102

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 102

CIO Business Intelligence

MAY 24, 2022

Just after launching a focused data management platform for retail customers in March, enterprise data management vendor Informatica has now released two more industry-specific versions of its Intelligent Data Management Cloud (IDMC) — one for financial services, and the other for health and life sciences.

Finance 130

Finance Management Metadata Data Quality 130

Cloudera

AUGUST 30, 2018

For more on the data-driven journey, I would encourage you to view our Cloudera Now presentation. The rest of this blog is focused on how Cloudera Enterprise 6.0 You know by now that Cloudera Enterprise is the modern platform for machine learning and analytics optimized for the cloud. appeared first on Cloudera Blog.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides.

Unstructured Data 122

Unstructured Data Data-driven Visualization Data Quality 122

Smart Data Collective

OCTOBER 14, 2019

That is how “big” the need for big data analytics came to be. More specifically, big data analytics offers users the ability to generate relevant insights from heaps of data. InfoSec specialists, in particular, find big data analytics very helpful in analyzing online threats.

Big Data 70

Big Data Data Analytics Analytics Unstructured Data 70

CIO Business Intelligence

JANUARY 22, 2024

According to a recent analysis by EXL, a leading data analytics and digital solutions company, healthcare organizations that embrace generative AI will dramatically lower administration costs, significantly reduce provider abrasion, and improve member satisfaction. Here’s an example. Artificial Intelligence

Cost-Benefit 101

Cost-Benefit Digital Transformation Data-driven Interactive 101

IBM Big Data Hub

MAY 19, 2023

Small and midsize enterprises (SMEs) are the fastest-growing segment in the market due to reliability, scalability, integration, flexibility and improved productivity. As a small- to medium-sized enterprise (SME), TDC Digital needed a transparent billing system to predict its expenses and price its services effectively.

Unstructured Data 80

Unstructured Data Data Processing Manufacturing Data Lake 80

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 126

Data Architecture Data Warehouse Statistics Visualization 126