CIO Business Intelligence

MAY 23, 2022

Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. The reality is that the cloud is not a hammer that should be used to hit every AI nail. Potential headaches of DIY on-prem infrastructure.

Experimentation 131

Experimentation Cost-Benefit Data Lake Data Science 131

CIO Business Intelligence

AUGUST 12, 2022

So, in 2020 Thermo Fisher initiated an automation and digitization project focused on eliminating those manual processes and creating a unified system of engagement for customers. The team also built a centralized data lake on AWS, Databricks, and Power BI. Unifying customer care. Catalyzing change.

IT 105

IT Data Lake Sales Interactive 105

CIO Business Intelligence

APRIL 4, 2023

Businesses that lead in fully deploying AI will be able to optimize customer experiences and efficiencies that help maximize customer retention and customer acquisition and gain a distinct advantage over the competition. All organizations need an optimized, future-proofed data architecture to move AI forward. MB every second.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

Cloudera

DECEMBER 13, 2022

Consider the fact that the SolarWinds Orion supply chain breach (attributed to Russia) from 2020 continues to make news , with many customers still in the dark as to whether they were compromised or not. The Cloudera Data Platform (CDP) is a hybrid data platform for all your end-to-end machine learning (ML) production use cases.

Machine Learning 78

Machine Learning Experimentation Data Lake Data Processing 78

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 billion in 2020? Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Cloudera

DECEMBER 16, 2022

Cloudera has been recognized in this cloud DBMS report since its inception in 2020. Notably, these same services simplify repatriating data workloads back to private clouds, to save on cloud infrastructure expenses. 2-A truly open data lakehouse. Cloudera has long had the capabilities of a data lakehouse, if not the label.

Management 90

Management Metadata Machine Learning Data Lake 90

CIO Business Intelligence

OCTOBER 11, 2022

The goal, she explained, is to knock down data silos between those groups, using multiple data lakes supported by strong security and governance, to drive positive impact across the supply chain, manufacturing, and the clinical trials of new drugs. . Four ways to improve data-driven business transformation .

Machine Learning 145

Machine Learning Data-driven Testing Data Science 145

erwin

SEPTEMBER 3, 2020

Data governance and EA also provide many of the same benefits of enterprise architecture or business process modeling projects: reducing risk, optimizing operations, and increasing the use of trusted data.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel.

Data Lake 86

Data Lake Manufacturing Metadata Dashboards 86

erwin

OCTOBER 8, 2020

The metadata-driven suite automatically finds, models, ingests, catalogs and governs cloud data assets. We start with an assessment of your cloud migration strategy to determine what automation and optimization opportunities exist. Request an erwin Cloud Catalyst assessment. Subscribe to the erwin Expert Blog.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

CIO Business Intelligence

MARCH 22, 2022

Data about customers, supply chains, the economy, market trends, and competitors must be aggregated and cross-correlated from myriad sources. . But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes. This is where artificial intelligence (AI) comes in.

Analytics 103

Analytics Key Performance Indicator Data Warehouse Data-driven 103

Cloudera

FEBRUARY 18, 2022

Among mid-market business leaders who grew their staff numbers by at least 5% in 2020, empathy was more consistently important than the global average, with 25% citing it as a key leadership skill. For example, data is helping both Cloudera and our customers to create better, healthier, and more open relationships with employees. .

Data Lake 85

Data Lake Uncertainty Dashboards Optimization 85

AWS Big Data

MARCH 3, 2023

From detailed design to a beta release, Tricentis had customers expecting to consume data from a data lake specific to only their data, and all of the data that had been generated for over a decade. Data export As stated earlier, some customers want to get an export of their test data and create their data lake.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

MAY 3, 2021

In 2020, a McKinsey study reported that “Industry 4.0 They no longer need to ask a small subset of the organization to provide them with information, rather, they have tooling, systems, and capabilities to get the data they need. Data democratization directly contributes to optimized agility and, if built properly, scalability.

Cost-Benefit 101

Cost-Benefit Digital Transformation Data Lake Enterprise 101

CIO Business Intelligence

MAY 26, 2022

Companies don’t need to move all the data to a single platform, but there does need to be a way to bring in data from disparate data sources, she says, and this can vary based on application. Data lakes work well for companies doing a lot of analytics at high frequencies who are looking for low-cost storage, for example.

Machine Learning 144

Machine Learning Modeling Data-driven Dashboards 144

CIO Business Intelligence

MAY 28, 2022

Companies don’t need to move all the data to a single platform, but there does need to be a way to bring in data from disparate data sources, she says, and this can vary based on application. Data lakes work well for companies doing a lot of analytics at high frequencies who are looking for low-cost storage, for example.

Machine Learning 135

Machine Learning Modeling Data-driven Dashboards 135

erwin

DECEMBER 13, 2018

Look at California as an example with California Consumer Privacy Act (CCPA) going into effect in 2020. As data becomes increasingly more vital to an organization’s success from a compliance and business perspective, the role of the CDO will become more defined. Data is no longer just an IT issue.

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Jet Global

JANUARY 6, 2021

Also, with the shift to more remote working in 2020 , it’s easier to provide access to critical business software via the cloud than for organizations to manage VPNs and security on their own to support distributed teams. Business leaders should also take note of discounts that are available to existing Microsoft Dynamics customers.

Cost-Benefit 98

Cost-Benefit Testing Finance Reporting 98

BizAcuity

MARCH 1, 2019

Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. This is where AI-based analysis and response play a critical role in extracting optimal value from the data. IoT produces a treasure trove of big data.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Jet Global

DECEMBER 3, 2021

It is able to draw from a broader array of data stores, including traditional relational databases, robust data warehouses, and cloud-based data lakes. This will ensure that you have the information you need to optimize your marketing spend. Spot Problems (and Opportunities) Early.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

AWS Big Data

MAY 19, 2023

Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS , data warehouses ( Amazon Redshift ), search ( Amazon OpenSearch Service ), NoSQL ( Amazon DynamoDB ), machine learning ( Amazon SageMaker ), and more.

Machine Learning 84

Machine Learning Metrics Big Data Management 84

AWS Big Data

MAY 4, 2023

The Transparency in Coverage rule is a federal regulation in the United States that was finalized by the Center for Medicare and Medicaid Services (CMS) in October 2020. For more details, refer to Best practices design patterns: optimizing Amazon S3 performance. In his spare time, he loves to play table tennis.

Insurance 84

Insurance Publishing Cost-Benefit Data Lake 84

Ontotext

MARCH 8, 2023

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications. Who was my most ESG compliant plant in 2020?” We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Andrew White

JANUARY 11, 2021

Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? You cannot get away from a formalized delivery capability focused on regular, scheduled, structured and reasonably governed data. Data lakes don’t offer this nor should they. E.g. Data Lakes in Azure – as SaaS.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

JUNE 9, 2021

According to IDC , more than 59 zettabytes (59,000,000,000,000,000,000,000 bytes) of data was created, captured, and consumed in the world in 2020. It’s almost quaint to think that 20 years ago, organizations generally didn’t have enough data to perform desired analyses.

Data Governance 59

Data Governance Data-driven Machine Learning Data Lake 59