O'Reilly on Data

FEBRUARY 11, 2019

There are many articles that point to the explosion of data, but in order for that data that be useful for analytics and ML, it has to be collected, transported, cleaned, stored, and combined with other data sources. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

CIO Business Intelligence

NOVEMBER 21, 2023

“Any use case that ranks high in any of these criteria should be managed by the IT department, while the remaining can be delegated to the business units.” The most successful programs go beyond rolling out tools by establishing governance in citizen data science programs while taking steps to reduce data debt.

IT 137

IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

MAY 7, 2024

One possible definition of the CDO is the organization’s leader responsible for data governance and use, including data analysis , mining , and processing. In many cases, CDOs focus on business objectives, but in other cases, they have equal business and technology remits, according to the authors.

Data Strategy 131

Data Strategy Data-driven Data Quality Strategy 131

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Data Science 101

DECEMBER 3, 2019

Building a data strategy is a great idea. It helps to avoid many of the Challenges of a Data Science Projects. General Questions Before Starting a Data Strategy. Do you have a process for solving problems involving data? What are the biggest challenges in your business? What data do you collect?

Data Strategy 84

Data Strategy Strategy Data Warehouse Dashboards 84

CIO Business Intelligence

OCTOBER 24, 2023

Alternatively, they can accelerate transformation by prioritizing force-multiplying initiatives such as aligning data science and data governance programs or improving IT operations with AIops capabilities. And a key facet of that is data management.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

CIO Business Intelligence

DECEMBER 19, 2023

In the 2023 State of Data Science and Machine Learning Report , only 18% of respondents said that at least half their machine learning models make it into production. Closing these gaps while improving search experiences are smart building blocks for facilitating gen AI’s prompting and natural language query capabilities.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

NOVEMBER 28, 2023

Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy. And yes, data has enormous potential to create value for your business, making its accrual and the analysis of it, aka data science, very exciting.

Management 131

Management Data Architecture Data Lake Data Strategy 131

CIO Business Intelligence

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. The online program includes an additional nonrefundable technology fee of US$395 per course.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Peter James Thomas

AUGUST 4, 2020

As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls. Conformed Data (Conformed Dimension). Conformed Data (Conformed Dimension). Data Capability. Data Driven. Data Maturity.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

Alation

MARCH 8, 2022

To maintain trust and confidence, it’s critical that self-service data instills a level of trust so workers can get the data they need and make quick, confident decisions. Connects BI to data science tools. Data Analytics Governance: What You Need to Know.

Analytics 52

Analytics Data Governance Data-driven Data Science 52

David Menninger's Analyst Perspectives

MAY 5, 2021

AutoML can also enable organizations to make data science initiatives more accessible across the organization. And as the number of ML models grow, their management becomes difficult. By bringing automation to ML, organizations can reduce the time it takes to create production-ready ML models.

Machine Learning 226

Machine Learning Data Science Modeling Management 226

Smart Data Collective

MAY 20, 2019

It’s important to build a solid CV by working with businesses and teams that fit a specialization, so choose one. By 2020, over 40 percent of all data science tasks will be automated. Basic Business Intelligence Experience is a Must. Communication happens to be a critical soft skill of business intelligence.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

CIO Business Intelligence

MAY 2, 2022

On May 11, we’ll look at one of the most high-profile new consumer use cases of data: sports betting. Darren Rovell, a senior producer at Action Network and a former journalist at ESPN and CNBC , will share how sophisticated data newly available to bettors is equalizing the playing field with sports books.

Advertising 98

Advertising Data Governance Insurance Strategy 98

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

DataRobot

JUNE 11, 2021

When I offered recent podcast guest Cindi Howson the opinion that data science has become much simpler, she had a ready response: “Are you telling me it’s not hard anymore?”. But Howson knows her data science. I think people expect data science to be the answer for everything. I had to laugh.

Data Processing 52

Data Processing Scorecard Data Science Metrics 52

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

CIO Business Intelligence

AUGUST 24, 2023

Many enterprises are deploying AI in lower-risk use cases first, says Kjell Carlsson, head of data science strategy and evangelism at Domino Data Lab. Data governance In traditional application development, enterprises have to be careful that end users aren’t allowed access to data they don’t have permission to see.

Uncertainty 98

Uncertainty Risk Testing Enterprise 98

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 138

Management Internet of Things Statistics Data-driven 138

CIO Business Intelligence

MARCH 11, 2024

Covanta has a mature data governance framework, which allowed us to reduce the overall duration of this step. We have identified a niche player highly specialized in data science and AI capabilities. At Covanta, we started our journey of building an AI foundation on the existing AWS environment.

Data-driven 69

Data-driven Strategy ROI Machine Learning 69

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

MAY 17, 2022

This incident, which provides insight into what can go wrong for any enterprise that has deployed AI without adequate data governance , is just the latest in a series of high-profile companies that have seen their AI-related PR disasters all over the front pages. We have very low confidence that our solutions are sufficient.”.

Risk 145

Risk Consulting Machine Learning Data Science 145

CIO Business Intelligence

MARCH 8, 2023

But while opportunities to use AI are very real – and ChatGPT’s democratisation is accelerating generative AI test-and-learn faster than QR code adoption during the Covid pandemic – the utopia of substantial business wins through autonomous AI is a fair way off. What data governance, operational and ethical considerations must we factor in?

Enterprise 52

Enterprise Data Governance Data Strategy Testing 52

Cloudera

SEPTEMBER 23, 2022

Challenges include deploying and maintaining the data platform as well as managing cloud compute costs. Additionally, your data within the data lakehouse must be kept secure, yet at the same time easily accessible by authorized staff and business intelligence tools within your enterprise. .

Data Governance 110

Data Governance Strategy Enterprise Cost-Benefit 110

CIO Business Intelligence

MAY 18, 2022

When we were thinking about creating a community of excellence for AI, we have a core group that is inside our Connected Technologies called DS&A (data science & analytics).

IoT 98

IoT Internet of Things Statistics Technology 98

CIO Business Intelligence

AUGUST 10, 2022

For Dana McGraw, vice president of audience modeling and data science at Disney Advertising Sales, the key is data — and how it can be shared with advertisers to enhance its value without compromising privacy and anonymity. Analytics, Data Science But, as she says, it’s also the most interesting part.

Advertising 52

Advertising Sales IT Data-driven 52

CIO Business Intelligence

APRIL 29, 2022

The strategy should put formalized processes in place to quantify the value of different types of information, leveraging the skills of a chief data officer (CDO), who should form and chair a data governance committee.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

erwin

JUNE 11, 2020

Collectively, data intelligence refers to the tools, processes, and activities that are developed from business-related data that the company collects and processes for enhancing business processes. Data intelligence can encompass both internal and external business data and information.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Peter James Thomas

AUGUST 13, 2018

They consist of the following: Split Artificial Intelligence out of Data Science in order to better reflect the ascendancy of this area (and also its use outside of Data Science). Change Data Science to Data Science / Engineering in order to better reflect the continuing evolution of this area.

Data Science 42

Data Science Publishing Analytics IT 42

Srividya Sridharan

OCTOBER 11, 2018

Feeling overwhelmed with all the data that your teams must wrangle before even getting to data science? Feeling like you don’t have any more room in your complex data and analytics environment for yet another platform? Feeling like you have more than enough dashboards and tools?

Dashboards 76

Dashboards Data Science Analytics Data Governance 76

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. Additionally, the task of maintaining and managing files in the data lake can be tedious and sometimes complex.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

CIO Business Intelligence

MARCH 7, 2023

Align data science and data governance programs Remember when infosec was brought in at the end of the application development process and had little time and opportunity to address issues? Integrate a new data source, then scan and mask the data for personally identifiable information.

Digital Transformation 145

Digital Transformation Data Governance Experimentation Machine Learning 145

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Jen Stirrup

OCTOBER 5, 2019

As I’ve written previously, I believe that metadata management is often overlooked in data science. It’s an important part of obtaining full value from data, and it should be part of the data maturity model. I’m particularly interested in learning more about metadata management.

Metadata 44

Metadata Data Science Risk Modeling 44

O'Reilly on Data

FEBRUARY 11, 2020

They have too many different data sources and too much inconsistent data. They don’t have the resources they need to clean up data quality problems. The building blocks of data governance are often lacking within organizations. In other words, the sheer preponderance of data sources isn’t a bug: it’s a feature.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads.

Management 91

Management Data Warehouse Metrics Dashboards 91

David Menninger's Analyst Perspectives

MARCH 18, 2020

MicroStrategy recently held its annual user conference, which focused on the theme of the “Intelligent Enterprise.” HyperIntelligence, an innovative product for delivering analytics throughout organizations that they introduced a year ago, was the star of the event.

Enterprise 208

Enterprise Analytics IT Data Governance 208