Smart Data Collective

JUNE 15, 2021

Data-driven organizations are looking for new ways to use data technology to improve their operations. Big data can play a very important role in solving these challenges. Pre-employment screening with data mining tools increases the quality of candidates. One bad hire can cost a company quite a lot.

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Data-driven Data mining Cost-Benefit Big Data 129

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

CIO Business Intelligence

MARCH 21, 2022

It’s especially poignant when we consider the extent to which financial data can steer business strategy for the better. Way back in 1999, his team did a cost-benefit analysis of the free shipping model, which is arguably one of the key drivers of Amazon’s stupendous growth. Poor quality data. billion a year. Out of that, $6.1

Data-driven 105

Data-driven IT Finance Forecasting 105

Smart Data Collective

APRIL 22, 2020

Big data has turned the software industry on its head. The relationship between software development and big data is a two-way street. While many software developers are looking to create new applications that use big data, they are also using big data to streamline development.

Data-driven 91

Data-driven Software Big Data Testing 91

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Collecting workforce data as a tool for talent management.

Data-driven 109

Data-driven Manufacturing Insurance Risk Management 109

Smart Data Collective

OCTOBER 5, 2021

There is no denying the fact that big data has become a critical asset to countless organizations all over the world. Many companies are storing data internally, which means that they have to be responsible for maintaining their own standards. Unfortunately, managing your own data server can be overwhelming.

Data-driven 108

Data-driven Management Big Data Software 108

erwin

MAY 2, 2022

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

erwin

MARCH 17, 2020

Teams need to urgently respond to everything from massive changes in workforce access and management to what-if planning for a variety of grim scenarios, in addition to building and documenting new applications and providing fast, accurate access to data for smart decision-making. Data Modeling. Data Governance.

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Data Governance Enterprise Modeling Metadata 138

DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. This generates reliable business insights and sustains AI-driven value across the enterprise.

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Data-driven Machine Learning Experimentation Data Lake 59

Smart Data Collective

JULY 5, 2021

There are a lot of DevOp projects that rely heavily on big data. They are using AI and other forms of big data technology to create highly effective software applications. More businesses are investing in big data software solutions, because they realize big data is incredibly important for the modern economy.

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Data-driven Big Data Software Data Processing 95

erwin

FEBRUARY 20, 2020

Enterprise architecture (EA) and business process (BP) modeling tools are evolving at a rapid pace. Recently, Glassdoor named enterprise architecture the top tech job in the UK , indicating its increasing importance to the enterprise in the tech and data-driven world.

Enterprise 128

Enterprise Modeling Dashboards Digital Transformation 128

O'Reilly on Data

MAY 11, 2020

Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. To understand the menagerie of models that are fundamentally altering our individual and shared realities, we need to build a typology, a classification of their effects and impacts.

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Modeling Advertising Recreation/Entertainment Metrics 188

AWS Big Data

NOVEMBER 21, 2023

This holistic approach not only enhances the customer experience but also offers efficiency gains, ensures data privacy compliance, and drives customer retention and sales growth. Amazon Bedrock and foundation models like Anthropic Claude are poised to enable a new wave of AI adoption by powering more natural conversational experiences.

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Modeling Big Data Data-driven Data Processing 70

IBM Big Data Hub

SEPTEMBER 18, 2023

This is largely driven by a realization that we’ve crossed a new threshold with respect to AI maturity, introducing a new, wider spectrum of possibilities, outcomes and cost benefits to society as a whole. How do you secure AI models? In other words, to secure AI, we are not confined to the models and data solely.

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Modeling Enterprise Testing Cost-Benefit 81

Alation

DECEMBER 2, 2021

By Sebastian Kaus, Data Governance Lead, Vattenfall. Sebastian Kaus is an engineer and Data Governance Lead at Vattenfall, a leading European energy company. He helps people work more efficiently by bridging the gap between conventional engineering disciplines and innovative data-driven approaches. 5-minute read.

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Data-driven Data Governance Reporting Risk 52

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. When business decisions are made based on bad models, the consequences can be severe. What is a model?

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Risk Modeling IT Risk Management 111

CIO Business Intelligence

OCTOBER 16, 2023

The application of AI in software development can accelerate these areas – for example, by quickly pulling info from many different sources and synthesizing documentation sources. For example, engineers can use embedding models or similarity analysis to radically simplify data models and get important details more quickly.

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Software Data-driven Modeling Machine Learning 124

Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

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Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

MAY 14, 2024

In past years, reporting fatal drug overdoses has largely been a paper- and human-driven process in King County, which shares the information with state and federal agencies. In many cases, additional documents are involved in the process, such as toxicology reports.

Deep Learning 79

Deep Learning Machine Learning Reporting Experimentation 79

CIO Business Intelligence

MAY 10, 2024

The second product, Boomi DataDetective, offers a mechanism to classify data fields, track where data is being moved, and protect personal information. Another use of AI technology comes in the form of Boomi Scribe, software that automatically documents both existing and built-by-AI integrations.

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Management Data-driven Marketing Software 97

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. A single source of data truth helps companies begin to leverage data as a strategic asset.

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Modeling Metadata Data Governance Visualization 98

erwin

SEPTEMBER 12, 2019

Strong internal business process modeling and management helps data-driven organizations compete and lead. In short, an internal business process is a documented account of how things should be done to maximize efficiency and achieve a particular goal. The Value of Internal Business Process Modeling.

Modeling 101

Modeling Cost-Benefit Data-driven Data Governance 101

AWS Big Data

APRIL 2, 2024

In March 2024, we announced the general availability of the generative artificial intelligence (AI) generated data descriptions in Amazon DataZone. In this post, we share what we heard from our customers that led us to add the AI-generated data descriptions and discuss specific customer use cases addressed by this capability.

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Metadata Metrics Data-driven Modeling 91

CIO Business Intelligence

MAY 15, 2024

It seems anyone can make an AI model these days. Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. And these models, though they lag behind the big commercial ones, are improving quickly.

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Modeling Risk Software Enterprise 133

DataRobot Blog

DECEMBER 15, 2022

Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning. Let’s run through the process and see exactly how you can go from data to predictions. Setting up a Time Series Project.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions.

Data mining 130

Data mining Data-driven Statistics OLAP 130

Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

IBM Big Data Hub

APRIL 15, 2024

Or we create a data lake, which quickly degenerates to a data swamp. Additionally, these accelerators are pre-integrated with various cloud AI services and recommend the best LLM (large language model) for their domain. Contextual data understanding Data systems often cause major problems in manufacturing firms.

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Manufacturing Contextual Data Knowledge Discovery Data Lake 95

erwin

MAY 14, 2021

compliance with the General Data Protection Regulation). Accelerating the retrieval and analysis of data —so much of it unstructured—is vital to becoming a data-driven business that can effectively respond in real time to customers, partners, suppliers and other parties, and profit from these efforts.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

IBM Big Data Hub

FEBRUARY 13, 2024

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types.

Enterprise 120

Enterprise Modeling Testing Data-driven 120

O'Reilly on Data

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.

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Enterprise Modeling Testing Reporting 267

IBM Big Data Hub

JANUARY 9, 2024

These applications are designed to meet specific business needs by integrating proprietary data and help to ensure more accurate and relevant responses. This trend signals a move toward more efficient and personalized AI-driven business solutions. This synergy enhances productivity and cost-efficiency.

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Data-driven Risk Modeling Marketing 102

CIO Business Intelligence

JUNE 6, 2022

As organisations pivot to hybrid working models, cloud collaboration tools have proved they are scalable, secure, and resilient – finally dispelling any lingering concerns that the technology is not yet enterprise ready. Kearns argued that cloud data centres may be out of sight but should never be out of mind.

Modeling 86

Modeling Data-driven Testing Technology 86

CIO Business Intelligence

MARCH 4, 2024

Tungsten Automation is delivering the benefits of AI-driven automation through a comprehensive suite of capabilities that can automate everything from low-value and repetitive data entry tasks through to highly complex actions such as risk analysis and fraud detection.

Cost-Benefit 138

Cost-Benefit Predictive Analytics Data-driven Finance 138

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. What Is Model Risk? Types of Model Risk.

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Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

FEBRUARY 9, 2024

Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years. One of those data sources is the Next Generation Stats System (NGS), which captures real-time location, speed, and acceleration data for every player.

Recreation/Entertainment 130

Recreation/Entertainment Data-driven Risk Digital Transformation 130

CIO Business Intelligence

APRIL 30, 2024

The law will create new mandates for organizations to validate, monitor, and audit the entire AI lifecycle, says Kjell Carlsson, head of AI strategy at Domino Data Lab, a data science and AI company. The transparency and monitoring requirements will be a new experience for some organizations, Domino Data Lab’s Carlsson says.

IT 88

IT Risk Data-driven Modeling 88