Andrew White

AUGUST 7, 2020

Here is a reference to the range and breadth of data and analytics hype in the market. Hype Cycle for Enterprise Information Management, 2020 Hype around data and analytics continues at fever pitch, driven in part by increased demands related to COVID-19. Start by understanding how to use and read a hype cycle.

Publishing 104

Publishing Analytics Machine Learning Data-driven 104

Smart Data Collective

AUGUST 22, 2021

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. Big data has been instrumental in the software development process. The FDA has used data analytics technology to streamline their process and drastically reduce the risk of missing anything pertinent.

Data-driven 129

Data-driven Software Manufacturing Big Data 129

CIO Business Intelligence

JUNE 6, 2024

RAI Institute described the template as an “industry-agnostic, plug-and-play policy document” that allow organizations to develop policies that are aligned with both business needs and risks. The fact that RAI Institute is member-driven is also paramount, she said. “We

Risk Management 98

Risk Management Risk Data-driven Consulting 98

Jet Global

MARCH 30, 2021

Tax planning is playing an increasingly important part in corporates’ enterprise resource management (ERM) strategies, driven by the many uncertainties created by political, economic, and pandemic-related trends. Take Responsibility for Risk Oversight. Engage in Risk-Monitoring Activities on a Regular and Systematic Basis.

Risk Management 98

Risk Management Risk Strategy Enterprise 98

Smart Data Collective

MAY 15, 2019

Big data has created both positive and negative impacts on digital technology. On the one hand, big data technology has made it easier for companies to serve their customers. On the other hand, big data has created a number of security risks that they need to be aware of, especially with brands leveraging Hadoop technology.

Big Data 92

Big Data Risk Measurement Data mining 92

AWS Big Data

MARCH 29, 2024

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. We also lacked a data buffer, risking potential data loss during outages.

Cost-Benefit 91

Cost-Benefit Data-driven Metrics Management 91

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

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. EU residents will have a right to submit complaints about high-risk AI systems and receive explanations about decisions.

IT 91

IT Risk Data-driven Modeling 91

Alation

FEBRUARY 13, 2020

. - Andreas Kohlmaier, Head of Data Engineering at Munich Re 1. --> Ron Powell, independent analyst and industry expert for the BeyeNETWORK and executive producer of The World Transformed FastForward Series, interviews Andreas Kohlmaier, Head of Data Engineering at Munich Re. Sometimes they didn’t really know about each other.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

CIO Business Intelligence

JANUARY 22, 2024

As enterprises become more data-driven, the old computing adage garbage in, garbage out (GIGO) has never been truer. The application of AI to many business processes will only accelerate the need to ensure the veracity and timeliness of the data used, whether generated internally or sourced externally.

Data Strategy 125

Data Strategy Strategy Data-driven Enterprise 125

Smart Data Collective

JANUARY 4, 2023

Fortunately, big data and smart technology are helping hospitalists overcome these issues. Here are some fascinating ways data and smart technology are helping hospitalists. Big data and smart technology are helping hospitalists improve billing accuracy in many ways. First, this innovative technology reduces the risk of errors.

Technology 110

Technology Big Data Metrics Data-driven 110

CIO Business Intelligence

SEPTEMBER 13, 2022

Cyber risk is increasingly a top executive priority, due in large part to the rising number of unplanned outages, driven by the increasingly sophisticated cyberattacks and widening skills gap. What’s the answer to coping with the dynamic nature of risks? And the problem can’t be ignored. Find more about it here. [1]

Digital Transformation 81

Digital Transformation Risk Risk Management Data-driven 81

IBM Big Data Hub

SEPTEMBER 15, 2023

These requirements will likely mandate publicly traded companies to disclose their greenhouse gas (GHG) emissions footprint, climate-related goals, and progress, as well as climate-risk related financial impact and expenditures. It is about accountability and driving comparability for real impact.

Risk 73

Risk Reporting Data-driven Publishing 73

Smart Data Collective

MAY 4, 2023

UMass Global has a very insightful article on the growing relevance of big data in business. Big data has been discussed by business leaders since the 1990s. The term was first published in 1999 and gained a solid definition in the early 2000s. Professionals have found ways to use big data to transform businesses.

Data mining 77

Data mining Big Data Data-driven Measurement 77

AWS Big Data

AUGUST 14, 2023

This post is the first in a series dedicated to the art and science of practical data mesh implementation (for an overview of data mesh, read the original whitepaper The data mesh shift ). Taken together, the posts in this series lay out some possible operating models for data mesh within an organization.

Management 79

Management Risk Measurement Optimization 79

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

IBM Big Data Hub

JUNE 23, 2023

Generative AI empowers faster and better data-driven decisions based on historical data, market trends and the use of AI foundation models that identify patterns and anomalies often missed by traditional analysis methods. Risk management and controls are an imperative in F&A. Apply the controllership lens.

Finance 56

Finance Consulting Data-driven Risk 56

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. There are many ways that data analytics can help e-commerce companies succeed. Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. billion on analytics last year.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

erwin

JUNE 14, 2019

Netflix’s origins were similar – annihilating its former rival Blockbuster and the entire DVD rental market to become a dominant streaming platform and media publisher. The inherently competitive nature of retail has made the sector a leader in adopting data-driven strategy. Data will zero in on the location of the problem.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

DataRobot Blog

MARCH 16, 2023

DataRobot was built by data scientists for data scientists, and for more than a decade we have been the only technology company solely-focused on AI and ML. Erick Brethenoux, Anthony Mullen, Published 26 August 2022 The post A New Era of Value-Driven AI appeared first on DataRobot AI Platform.

Experimentation 52

Experimentation Data-driven Measurement Enterprise 52

Ontotext

AUGUST 17, 2023

These failures are at least partly due to the absence of graph technologies, at the center of those transformations, allowing companies to “connect the dots” across their data to drive optimal outcomes. More critically, they will continue to struggle becoming more data-driven within their organizations, missing out on value opportunities.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Consulting 52

Smart Data Collective

APRIL 16, 2021

The World Economic Forum has included cyber-attacks and data breaches in the list of top global risks in 2020. The problems associated with data breaches cannot possibly be overstated. The average data breach cost $3.86 This is critical if you want to stop a data breach. Why do you need an email security plan?

Enterprise 143

Enterprise Data-driven Data Processing Risk 143

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Complexity. Five Steps to GDPR/CCPA Compliance. Govern PII “at rest”.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. billion in 2022, according to a research study published by The Insight Partners in August 2022.

Predictive Analytics 141

Predictive Analytics Analytics Predictive Modeling Forecasting 141

DataKitchen

OCTOBER 25, 2022

Part 2: Introducing Data Journeys. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.

Testing 130

Testing Data-driven Visualization Dashboards 130

Ontotext

FEBRUARY 12, 2024

Part one of this three-part series discussed the concept of data mesh and explored what it is and why an organization should care. Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations. Enterprises should identify and adopt specific data mesh elements to achieve velocity.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

AWS Big Data

APRIL 17, 2024

The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices. times better price-performance than other cloud data warehouses. Amazon Redshift delivers up to 4.9 times lower cost per user and up to 7.9

Data Warehouse 100

Data Warehouse Analytics Cost-Benefit Modeling 100

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. And she is numbers driven – great! Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team?

Metrics 130

Metrics Data Analytics Analytics Measurement 130

erwin

OCTOBER 17, 2019

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. The Regulatory Rationale for Integrating Data Management & Data Governance. Data security/risk management. EA should be commonplace in data security planning.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

Smart Data Collective

SEPTEMBER 30, 2022

The landscape of blockchain-driven solutions: from 2018 to 2022. In 2018-2019, budding blockchain-based advertising projects provided the first opportunity to buy clean and secure traffic, enriched with genuine data about ad campaign performance. This way, all data becomes auditable to every chain participant on an event-level basis.

Advertising 137

Advertising Marketing Technology Uncertainty 137

AWS Big Data

OCTOBER 11, 2023

Under the Transparency in Coverage (TCR) rule , hospitals and payors to publish their pricing data in a machine-readable format. The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

Smart Data Collective

NOVEMBER 25, 2021

Data privacy concerns have become greater than ever in recent years. One recent study from the University of Maryland found that there is a data breach every 39 seconds. The threat of data breaches has become a lot greater in recent years as more businesses and consumers become dependent on big data. What Research Shows.

Big Data 95

Big Data Risk Data-driven ROI 95

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. Download your free copy of How to Build a Model Driven Business.

Modeling 64

Modeling IT Risk Management Deep Learning 64

Smart Data Collective

APRIL 10, 2020

Fortunately, new big data technology can address all of them. Big data has made creating custom accounting software easier than ever. Back in 1994, the International Electrical and Electronics Engineering organization published a whitepaper on the benefits of machine learning to address accounting issues.

Machine Learning 111

Machine Learning Cost-Benefit Big Data Forecasting 111

Smart Data Collective

APRIL 3, 2022

This is a huge market driven by AI technology that is expected to be worth $19 billion by 2024. Towards Data Science published an article titled How Renaissance beat the markets with Machine Learning , which emphasized the major benefits of AI in their trading. What is algorithmic trading? Advantages. Reduced cost.

Technology 94

Technology Cost-Benefit ROI Strategy 94

DataRobot

OCTOBER 19, 2021

On average, DataRobot forecasts had a 21 percent lower rate of error than all other published competing models over a six to eight week period. At the time, much of the available data was limited and inaccurate as a result of forecasting based on traditional—and outdated— epidemiological modeling. reporting backlogs). White Paper.

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98