Smart Data Collective

OCTOBER 31, 2022

As the Internet of Things becomes increasingly instrumental in the workplace, company and consumer data risk grow. It’s no secret that hackers have discovered and implemented complex methods to access crucial data from businesses of all sizes across all industries, including the federal government. Diversified Training.

Internet of Things 114

Internet of Things IoT Risk Measurement 114

Cloudera

APRIL 13, 2022

Thanks to continuous data collection and interpretation, the business intuitively knows how to adapt to changing market dynamics to meet evolving customer needs and overcome hiccups such as the supply chain issues that have persisted since mid 2020. Of Human and Machine. Product development. Procurement.

Data Collection 115

Data Collection Machine Learning Strategy Data-driven 115

CDW Research Hub

DECEMBER 22, 2020

San Antonio, TX – 22 December 2020 — Sirius Computer Solutions, Inc. Sirius), a leading national IT solutions integrator, ranked first in the inaugural 2020 Channel Futures 2020 NextGen 101. ” The 2020 MSP 501 and NextGen 101 lists are based on data collected by Channel Futures and its sister site, Channel Partners.

Management 97

Management Optimization Metrics Data Collection 97

CIO Business Intelligence

JANUARY 9, 2023

They are also perfect for storing and visualizing large healthcare data models so it can be quickly processed and analyzed. Graphs can make previously unavailable connections from disparate data spread across many different platforms. Why Graph Analytics is Important for Healthcare Hospitals deal with stockpiles of data.

Analytics 102

Analytics Cost-Benefit Visualization Risk 102

Cloudera

AUGUST 12, 2021

Collecting workforce data as a tool for talent management. A data-driven approach to talent management and development brings about greater transparency, reduced attrition and more effective training and enablement. Risk Management. One of the more obvious use cases of data’s role in reducing risk is insurance policies.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

Jet Global

JUNE 5, 2020

This can help a company manage cashflows, risk exposure, and rate setting. But that is a costly endeavor that could potentially outweigh the cost savings derived from the data. Let’s look at some of the major benefits of using an insightsoftware solution: Automated data collection. Centralized data. View Guide Now.

Insurance 59

Insurance Metrics Reporting KPI 59

Anmut

OCTOBER 29, 2020

Data governance - who's counting? On the 29th of October 2020, the WHO reported 44,002,003 confirmed cases. The role of data governance. This ongoing trade-off between reporting timely and accurate information strains the reliability of the data. COVID-19 exposes shortcomings in data management.

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 310

Enterprise Deep Learning Data Governance Risk 310

Smart Data Collective

APRIL 22, 2020

Predicting Community and Individual Risk of Infection. Predicting an individual’s risk of infection — and better understanding the risk factors involved — is vital in a situation like this. To do this, scientists train neural networks using vast databases of existing DTI data. Pre-existing medical conditions.

Big Data 110

Big Data Machine Learning Risk Interactive 110

Cloudera

AUGUST 25, 2021

Without committing to openly shared data, the New York Times asserted in February 2021, coronavirus vaccines would have taken much longer to develop. A Chinese lab announced the discovery of the virus in January 2020 and released the genome sequence to the public a few days later, enabling labs around the world to start working on vaccines.

Data-driven 92

Data-driven Machine Learning Data Collection Risk 92

Smart Data Collective

MARCH 28, 2021

Although there are many benefits of moving to the cloud , this decision is not without its risks. 2021 is an extension of the uncertain times of 2020. Information relating to customers and how they use products help improve future design using the different sets of data collected. Introduction of New Business Models.

Cost-Benefit 137

Cost-Benefit IoT Internet of Things Data-driven 137

Smart Data Collective

SEPTEMBER 4, 2020

Google has shown how to use big data effectively for decision-making , but many other companies don’t understand the principles to follow. Far too many businesses fail to develop a sensible data strategy, so their ROI from their data collection methodologies is often subpar. Guide to Creating a Big Data Strategy.

Data-driven 86

Data-driven Big Data Metrics Strategy 86

BA Learnings

AUGUST 7, 2021

Boston Consulting Group conducted a digital transformation study in 2020 to find out why such projects are missing the mark. In addition to that, the risk assessment will not be carried out properly, and you won’t know what pitfalls lie ahead until you’re already knee-deep in the problem.

Digital Transformation 130

Digital Transformation Key Performance Indicator Cost-Benefit KPI 130

IBM Big Data Hub

AUGUST 7, 2023

Research conducted by the Tufts Center for Study of Drug Development and presented in 2020 found that 23% of trials fail to achieve planned recruitment timelines 1 ; four years later, many of IBM’s clients still share the same struggle. Impact Report Jan/Feb 2020; 22(1): New global recruitment performance benchmarks yield mixed results.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

Jet Global

SEPTEMBER 1, 2020

It’s an intensely manual process, working with large volumes of data, and as such tends to happen once a year, at the end of the year. With such infrequent monitoring, organizations run the risk of late material adjustments to their accounts, which infuriates internal stakeholders and is a red flag to the company’s auditors.

Cost-Benefit 69

Cost-Benefit Manufacturing Risk Data Collection 69

Jet Global

JANUARY 22, 2020

They’ve also discovered that turning data into actionable insights is a huge undertaking. Knowing how many stumbles and setbacks it’s taken to get to this point, the start of 2020 represents the perfect time to consider how you will leverage data moving forward. Contending with Data Errors.

Reporting 78

Reporting Snapshot Data-driven Uncertainty 78

Smart Data Collective

MAY 13, 2022

Employees are more concerned than ever about their data privacy. Regulators also require employers to be cautious about how data is stored and used. Employers Must Find Ethical Ways to Use Data Analytics to Monitor their Workers. Protect Employee Data. Don’t Collect Data Outside of Work Hours.

Data-driven 108

Data-driven Big Data Software Data Analytics 108

Alation

FEBRUARY 13, 2020

Today, we’re announcing that Alation has closed a $50 million Series C funding led by Sapphire Ventures, with participation from new investor Salesforce Ventures and our existing investors Costanoa Ventures, DCVC (Data Collective), Harmony Partners and Icon Ventures.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Sisense

MARCH 18, 2020

The information means that a company’s data and infrastructure are its greatest assets, and weaknesses. According to Mandiant in their 2020 “ M-Trends Report ,” 22% of attacks on companies were for IP theft or corporate espionage, while a whopping 29% of attacks were for direct financial gain. Building a more secure future.

Software 52

Software Machine Learning Internet of Things Risk 52

BizAcuity

MARCH 1, 2019

and constantly report this data to backend. At the backend, based on the data collected, data is stored in data lakes. Such data is collected from hundreds, thousands and millions of users. Then AI/ML algorithms are run on this collected data.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Jet Global

AUGUST 18, 2020

By automatically merging data sources and converting values into a standardized single source of truth, the overall framework will reliably provide consistent, consolidated numbers even when different jurisdictions are individually updated. The post Tips to Achieve Tax Agility in 2020 appeared first on insightsoftware.

Reporting 52

Reporting Forecasting Consulting Data Collection 52

Jet Global

MAY 15, 2020

As such, it can be concluded that the higher the ratio, the higher the risk to shareholders. This ratio is often used by lenders when considering a loan, as it gives an idea of how much risk they will be taking on. Total-Debt-to-Equity = (Short-Term Debt + Long-Term Debt) / Shareholder’s Equity. Instant updates. Well, maybe it is.

Metrics 98

Metrics Finance Reporting KPI 98

O'Reilly on Data

JULY 20, 2021

It comes down to a key question: is the risk associated with an action greater than the trust we have that the person performing the action is who they say they are? When we consider the risk associated with an action, we need to understand its privacy implications. There is a tradeoff between the trust and risk. Source: [link].

Risk 303

Risk Software Interactive Modeling 303

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The Why: Data Governance Drivers. Why should companies care about data governance?

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Cloudera

DECEMBER 21, 2020

In a 2020 study by Facebook and Bain & Co , approximately 310 million customers in Southeast Asia (ASEAN) are expected to shop online with an average spend of US$172 this year, compared to the 250 million customers and average spend of US$124 in 2018. . Making Hybrid Cloud Work for Data-Driven ASEAN Retailers .

Data-driven 95

Data-driven Data Strategy Strategy Cost-Benefit 95

Cloudera

DECEMBER 16, 2022

Cloudera has been recognized in this cloud DBMS report since its inception in 2020. There are six key capabilities that cement our leadership in enterprise data platforms: 1-Hybrid and multi-cloud portability and scale to support the most demanding workloads. 5-Integrated open data collection. This is unique.

Management 94

Management Metadata Machine Learning Data Lake 94

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. He talked about the risks of reductionism and Descartes’ questionable legacy. Ergo, less interpretable.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Cloudera

NOVEMBER 9, 2018

While such a city might sound like a utopian dream, it could potentially turn into a dystopian nightmare if we overlook the risks brought about by the rise of smart cities. Reflect back on the recent SingHealth breach in Singapore, in which non-medical personal data of 1.5 Here’s my take on the top three reasons. billion in 2014.

IoT 59

IoT Machine Learning Internet of Things Data Collection 59

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Andrew White

JANUARY 9, 2022

Could you precise to which complementary research you mentioned when you talked about a data governance survey ? – Here is the one I mentioned during the webinar: The State of Data and Analytics Governance Is Worse Than You Think. This was from 2020. – This could be two questions and both are quite open ended.

Analytics 64

Analytics Measurement Modeling Data-driven 64

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Big data guru Bernard Marr wrote about The Rise of Chief Data Officers. We love that data is moving permanently into the C-Suite. Think of security, privacy, and compliance. Pursue a phased approach.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Domino Data Lab

AUGUST 1, 2021

2020) propose the following foundational set of methods to classify various approaches for explaining deep ANNs. For this demo we’ll use the freely available Statlog (German Credit Data) Data Set, which can be downloaded from Kaggle. Methods for explaining Deep Learning. 1 570 0 570 Name: credit, dtype: int64. Ribeiro, M.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

CIO Business Intelligence

FEBRUARY 3, 2023

Preprogrammed resources include connections to major backends such as Salesforce as well as a collection of templates for common processes. Tara , for instance, is a “top OFAC / AML expert who is laser-focused on keeping your transactions risk-free.” Check out Puppeteer , Selenium , and Headless Firefox for a basic start.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

Jet Global

MARCH 13, 2019

The mere mention of ‘automation’ strikes terror in the hearts of workers everywhere, but, driven by a lack of skilled employees in data science, automation is aiming to plug that gap by enabling organizations with automated data-science. What does this look like for your enterprise? GDPR – The Good, The Bad & The Ugly.

Business Intelligence 85

Business Intelligence Data Science Software Enterprise 85

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.

Statistics 363

Statistics Advertising Visualization Data mining 363

Alation

JULY 6, 2021

There are new ways to quickly and effectively overcome these data governance challenges. A person or team with influence must take responsibility for reducing data governance risks. They should have resources, tools for connectivity and integration, and insights into data usage and needs. Why Do Data Silos Happen?

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Alation

OCTOBER 12, 2021

Folks can work faster, and with more agility, unearthing insights from their data instantly to stay competitive. Yet the explosion of data collection and volume presents new challenges. There are inconsistent definitions and inconsistent metrics, and a lack of trust in the data used in the metrics.

Strategy 52

Strategy Enterprise Analytics Data Governance 52