CIO Business Intelligence

JUNE 13, 2022

The very best conversational AI systems come close to passing the Turing test , that is, they are very difficult to distinguish from a human being. . In some parts of the world, companies are required to host conversational AI applications and store the related data on self-managed servers rather than subscribing to a cloud-based service.

Data Processing 85

Data Processing Deep Learning Insurance Cost-Benefit 85

AWS Big Data

DECEMBER 13, 2023

BMS’s EDLS platform hosts over 5,000 jobs and is growing at 15% YoY (year over year). Manually upgrading, testing, and deploying over 5,000 jobs every few quarters was time consuming, error prone, costly, and not sustainable. Although this framework met their ETL objectives, it was difficult to maintain and upgrade.

Metadata 87

Metadata Data Lake Visualization Data Transformation 87

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. Pandemic “Pressure” Testing. However, through this real-time “pressure test”, they identified areas of weakness, dependencies, and opportunities.

Risk 97

Risk Optimization Management Insurance 97

CIO Business Intelligence

JUNE 2, 2022

Specifically, they are interested in electric utility response to cyber and physical threats, and they are working to develop an algorithm that can be used as a tested, trusted safeguard. Known as the most powerful supercomputer in academia, Frontera is hosted by the Texas Advanced Computing Center (TACC) at the University of Texas, Austin.

Informatics 83

Informatics Modeling Testing Technology 83

DataKitchen

APRIL 13, 2021

Testing and Data Observability. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Genie — Distributed big data orchestration service by Netflix.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Ontotext

SEPTEMBER 15, 2020

The use of knowledge graphs doesn’t try to enforce yet another format on the data but instead overlays a semantic data fabric, which virtualizes the data at a level of abstraction more closely to how the users want to make use of the data. Consider using data catalogs for this purpose.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

DataRobot Blog

MAY 26, 2022

These methods provided the benefit of being supported by rich literature on the relevant statistical tests to confirm the model’s validity—if a validator wanted to confirm that the input predictors of a regression model were indeed relevant to the response, they need only to construct a hypothesis test to validate the input.

Risk 52

Risk Modeling Metrics Business Objectives 52

CIO Business Intelligence

APRIL 25, 2022

Practicum , by Yandex, is a digital reskilling program that offers bootcamps for data scientists and data analysts. The data analyst bootcamp is a seven-month, online, part-time course. You’ll need to commit around 20 hours per week to coursework and will be required to attend two online courses per week hosted by live teachers.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

AWS Big Data

MAY 7, 2024

As you experience the benefits of consolidating your data governance strategy on top of Amazon DataZone, you may want to extend its coverage to new, diverse data repositories (either self-managed or as managed services) including relational databases, third-party data warehouses, analytic platforms and more.

Metadata 74

Metadata Data Lake Data Processing Data-driven 74

AWS Big Data

NOVEMBER 16, 2023

Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge and adherence to battle-tested best practices, and using the right tools and features in the right scenario. system implemented with Amazon Redshift.

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. You need to determine if you are going with an on-premise or cloud-hosted strategy. Finalize testing. Train end-users.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. This has serious implications for software testing, versioning, deployment, and other core development processes.

Management 332

Management Machine Learning Experimentation Metrics 332

IBM Big Data Hub

DECEMBER 4, 2023

Assemble a cross-collaborative implementation team with well-defined roles and identify major stakeholders to consult and test the system as the project moves forward. He also recommended testing applications under “extreme condition” to ensure there were no surprises when the system went live. Delete all unnecessary data.

Testing 79

Testing Consulting Digital Transformation Cost-Benefit 79

CIO Business Intelligence

JUNE 14, 2022

The mission also sets forward a target of 50% of high-priority data quality issues to be resolved within a period defined by a cross-government framework. Whitehall has expressed a desire to move to a buy once, use many times approach to technology as well as ensuring that nationally important systems are resilience tested annually.

Strategy 94

Strategy IT Digital Transformation Data Processing 94

Cloudera

SEPTEMBER 7, 2023

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

Insurance 79

Insurance Risk Data-driven Finance 79

Alation

DECEMBER 14, 2021

Furthermore, does my application really need a server of its own in the first place — especially when the organizational plan involves hosting everything on an external service? Cloud testing. What is cloud-hosted? Cloud hosting refers to cloud technologies that provide processing and storage space for cloud solutions.

Cost-Benefit 52

Cost-Benefit Data Processing Optimization Consulting 52

Alation

MAY 31, 2023

If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. This year’s DGIQ West will host tutorials, workshops, seminars, general conference sessions, and case studies for global data leaders.

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

AWS Big Data

DECEMBER 18, 2023

There are multiple tables related to customers and order data in the RDS database. Amazon S3 hosts the metadata of all the tables as a.csv file. This is especially true when you are processing millions of items and you expect data quality issues in the dataset. Choose the workflow named ETL_Process.

Metadata 118

Metadata Visualization Data Lake Data-driven 118

CIO Business Intelligence

AUGUST 30, 2022

SPE wanted to combine their rich reservoirs of data into a single, readily accessible, insights-driven platform that would provide a single source of truth, improving efficiency while reducing cost of ownership and removing redundancies. Doubling down on risky business. The Strategy – ESOAR lets Sony roar.

Recreation/Entertainment 77

Recreation/Entertainment IT Finance Strategy 77

CIO Business Intelligence

SEPTEMBER 2, 2022

SPE wanted to combine their rich reservoirs of data into a single, readily accessible, insights-driven platform that would provide a single source of truth, improving efficiency while reducing cost of ownership and removing redundancies. Doubling down on risky business. The Strategy – ESOAR lets Sony roar.

Recreation/Entertainment 76

Recreation/Entertainment IT Finance Strategy 76

CIO Business Intelligence

FEBRUARY 28, 2024

Then there’s the hard work of collecting and prepping data. Quality checks and validation are critical to create a solid base, he says, so you don’t introduce bias, which undermines customers and business. You’d design, build, test, and iterate until the software behaved as expected,” he says. “If

IT 112

IT Consulting Modeling Enterprise 112

Alation

OCTOBER 28, 2021

This, in turn, empowers data leaders to better identify and develop new revenue streams, customize patient offerings, and use data to optimize operations. To make good on this potential, healthcare organizations need to understand their data and how they can use it. Why Is Data Governance in Healthcare Important?

Data Governance 52

Data Governance Measurement Modeling Metrics 52

Depict Data Studio

MAY 12, 2020

They host monthly meet-ups, which have included hands-on workshops, guest speakers, and career panels. Data Visualization Society. Amanda went through some of the top considerations, from data quality, to data collection, to remembering the people behind the data, to color choices. DataViz DC.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

DataRobot Blog

DECEMBER 20, 2022

In this article, we’ll first take a closer look at the concept of Real Estate Data Intelligence and the potential of AI to become a game changer in this niche. We’ll then empirically test this assumption based on an example of real estate asset assessment. You can understand the data and model’s behavior at any time.

Management 59

Management Machine Learning Optimization Modeling 59

The Unofficial Google Data Science Blog

JULY 18, 2023

We normally have lots of labelers and items in our dataset, and priors give a form of regularization that better handles cases where data might be sparse and makes the model less prone to overfitting. We derive our measurement of data quality, ICC, from the variance parameters in the model.$$ That last part is a little weird.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. In the final consumption layer, the data fields could be tagged for governance, PII specifics, and advanced classification and categorization.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

datapine

MAY 17, 2021

Your Chance: Want to test a professional data discovery tool for free? Benefit from modern data discovery today! What Is Data Discovery? Your Chance: Want to test a professional data discovery tool for free? Benefit from modern data discovery today! Benefit from modern data discovery today!

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. Do you have an example of how an organization improved data literacy in a really practical useful way?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52