Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Domino Data Lab

JULY 28, 2021

It is highly valued by organizations as they strive to remain competitive, increase revenues and delight customers because data scientists are able to coax insight on how to improve decision making by the business out of the vast stores of data created by the business. Models could be consumer-centric, like identifying key consumer groups.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Cloudera

AUGUST 31, 2020

These businesses use data-fueled insights to enhance the customer experience, reduce costs, and increase revenues. COVID-19 has accelerated radical changes in businesses, business models, and customer behavior making it clear that we are entering the second phase of this revolution. The data shelf life is decreasing,” said Marr.

Analytics 94

Analytics Manufacturing Insurance Data Processing 94

DataRobot Blog

MARCH 10, 2022

These initiatives utilize interconnected devices and automated machines that create a hyperbolic increase in data volumes. As these models make inferences, DataRobot’s MLOps offering allows teams to monitor these models and create downstream triggers or alerts based on the predictions.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. displaying BI insights for human users).

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Ontotext

JANUARY 6, 2021

Humans are stuck on this planet until they devised a way to travel, 11kms per second, the escape velocity from Earth. A knowledge graph provides centralized information control for enterprises at a time when it is no longer possible to integrate all transactional information due to its extreme volume, velocity and variety.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. Meta-Orchestration.

Testing 307

Testing Machine Learning Consulting Data Quality 307

IBM Big Data Hub

MAY 23, 2023

Many cloud-based environments rely on Linux for their operations, and in 2022, IBM Security X-Force reported dramatic increases in Linux malware. “The biggest challenge for security is the complexity, the scale and the velocity at which it needs to operate. . “And it should emphasize the business case for security.”

Cost-Benefit 99

Cost-Benefit Strategy Reporting Marketing 99

CIO Business Intelligence

JUNE 23, 2022

Multi-cloud provides increased velocity, scale, and choice by enabling enterprises to create and deploy new services across clouds. But multi-cloud environments will quickly lose their allure if their operations are not seamless.

Enterprise 98

Enterprise Machine Learning Management Optimization 98

Domino Data Lab

JUNE 15, 2021

Over the next decade, the companies that will beat competitors will be “model-driven” businesses. These companies often undertake large data science efforts in order to shift from “data-driven” to “model-driven” operations, and to provide model-underpinned insights to the business. Why Snowflake UDFs.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

IBM Big Data Hub

JANUARY 17, 2023

Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and the explosion of data volumes has resulted in complex data infrastructures for most enterprises. We are also introducing IBM Cloud Park for Data Express. Start a trial. Data integration.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Cloudera

AUGUST 20, 2021

It is both the superior technical characteristics of each individual data experience and the cohesive choreography between them that make CDP the ideal data platform for complex data products that include multiple stages of analytical processing to deliver differentiated value propositions. private cloud only, public multi-cloud or hybrid).

Strategy 94

Strategy Cost-Benefit Visualization Data Warehouse 94

IBM Big Data Hub

SEPTEMBER 11, 2023

Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” Thus, was born a single database and the relational model for transactions and business intelligence. Over the past 40 years, Db2 has been on an exciting and transformational journey. In 1969, retired IBM Fellow Edgar F.

Machine Learning 92

Machine Learning Cost-Benefit IoT Data Warehouse 92

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Building the right data model is an important part of your data strategy. What is data modeling?

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Cloudera

AUGUST 31, 2020

As SMG continued to innovate, the scale, variety and velocity of data made its legacy warehouse environment show its limits. The following graph shows how linear scalability in Hive LLAP was achieved as Queries per Second (QPS) were increased. The case for a new Data Warehouse? The Offload Journey . Data-driven Proof of Concept.

Slice and Dice 62

Slice and Dice Management Data Warehouse Analytics 62

Cloudera

AUGUST 21, 2020

The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. These platforms yield insights into very complex business challenges and are very much worth the investment. These platforms have truly made what was not long ago considered impossible, possible.

Cost-Benefit 71

Cost-Benefit Big Data ROI Risk 71

datapine

AUGUST 29, 2022

The rate at which data is generated has increased exponentially in recent years. Martin Kleppmann has a knack for explaining things in a manner that is easy to understand and follow, even if their complexity is non-trivial”. This trend has been brought about by the new demands of the modern marketplace, and it’s here to stay.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Cloudera

APRIL 9, 2021

They warned data and analytics leaders to “prepare for the complexities of data management” calling out costs, performance and integration as top challenges. A modern data warehouse needs to support a combination of different data types, data model architectures, real-time & batch analytics and a variety of data access patterns.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

Cloudera

JANUARY 22, 2019

Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge. Who should care about Big Data Fabric?

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

IBM Big Data Hub

APRIL 12, 2023

In our previous blog, we identified the three layers to network data monetization. To address the network data value tree successfully, we must address the complexities of these three layers, which are essential for automated operations in telco. In the next part we will discuss the complexities of each of the layers.

Data Processing 89

Data Processing KPI Optimization Analytics 89

erwin

NOVEMBER 14, 2019

The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. The technology that makes end-to-end data governance possible includes data cataloging , data literacy , business process modeling , enterprise architecture and data modeling.

Data Governance 105

Data Governance Cost-Benefit Data-driven Metadata 105

Cloudera

MAY 25, 2021

I had introduced Cloudera SQL Stream Builder in my earlier blog pos t and how it augments the powerful stream processing capabilities of the Cloudera DataFlow (CDF) platform by accelerating time to market and democratizing access to real-time data using continuous SQL. Employ scalable solutions to process vast amounts of data.

Insurance 70

Insurance Data-driven IoT Manufacturing 70

erwin

NOVEMBER 14, 2019

The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. The technology that makes end-to-end data governance possible includes data cataloging , data literacy , business process modeling , enterprise architecture and data modeling.

Data Governance 40

Data Governance Cost-Benefit Data-driven Metadata 40

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. How does data mesh help organizations and lines of business? What does data mesh do that other approaches can’t?

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59