IBM Big Data Hub

SEPTEMBER 7, 2023

It has an end-to-end process for building and testing foundation models and generative AI — starting with data collection and ending in control points for tracking the responsible deployments of models and applications — focused on governance, risk assessment, bias mitigation and compliance.

Modeling 103

Modeling Risk Unstructured Data Enterprise 103

IBM Big Data Hub

MAY 15, 2024

Business leaders risk compromising their competitive edge if they do not proactively implement generative AI (gen AI). Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges.

Cost-Benefit 69

Cost-Benefit Data Integration Data Architecture Manufacturing 69

Smart Data Collective

MAY 28, 2021

Data security and data collection are both much more important than ever. Every organization needs to invest in the right big data tools to make sure that they collect the right data and protect it from cybercriminals. One tool that many data-driven organizations have started using is Microsoft Azure.

Data-driven 133

Data-driven Cost-Benefit Big Data Data Processing 133

IBM Big Data Hub

FEBRUARY 23, 2024

Second, a comprehensive inventory makes it easier to comply with user requests to share, update, or delete their data. To ensure that consent is informed, the organization should clearly explain what it collects and how it will use that data at the point of data collection. Consents cannot be bundled, either.

Measurement 77

Measurement Risk Data Collection Data Processing 77

Smart Data Collective

AUGUST 4, 2022

An article in HR Voices titled Data Analytics in HR: Impacting the Future of Performance Management underscores some of the benefits. The authors state that data analytics saves managers time and reduces the risk of inadvertent bias.

Data-driven 128

Data-driven Metrics Software Data Collection 128

IBM Big Data Hub

JANUARY 22, 2024

A company can be both a controller and a processor, like a company that both collects phone numbers and uses them to send marketing messages. Processors also include third parties that process data on behalf of controllers, like a cloud storage service that hosts a phone number database for another business.

Measurement 82

Measurement Risk Data Processing Data Collection 82

CIO Business Intelligence

JANUARY 30, 2024

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents. Most companies find themselves in a similar situation.

Reporting 94

Reporting Data Quality Strategy Data-driven 94

Smart Data Collective

FEBRUARY 14, 2020

A recent arrest in Britain highlights how vulnerable our privacy is in the age of big data. Big Data Privacy Risks Are Growing and Anyone Can Access It. The money was then traced to companies in Germany and New Zealand, which were responsible for hosting the data. Understanding Privacy Risks.

Big Data 101

Big Data Reporting Risk Advertising 101

datapine

MAY 2, 2023

However, if you underestimate how many vehicles a particular route or delivery will require, then you run the risk of giving customers a late shipment, which negatively affects your client relationships and brand image. After examining their data, UPS found that trucks turning left were costing them a lot of money.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Cloudera

MARCH 29, 2022

This is especially crucial to state and local government IT teams, who must balance their vital missions against resource constraints, compliance requirements, cybersecurity risks, and ever-increasing volumes of data.

Cost-Benefit 95

Cost-Benefit Strategy Data Science Data Processing 95

CIO Business Intelligence

AUGUST 15, 2023

A risk-limiting audit (RLA) is one audit type used for election verification. The Behavioral Health Acuity Risk (BHAR) model leverages a machine learning technique called random forests, which can be natively hosted in the electronic health record and updated in near-real time, with results immediately available to clinical staff.

IT 88

IT Manufacturing IoT Cost-Benefit 88

Smart Data Collective

MARCH 28, 2021

Although there are many benefits of moving to the cloud , this decision is not without its risks. How nice would it be to host your entire site on the cloud? Information relating to customers and how they use products help improve future design using the different sets of data collected. Convenience all the way!

Cost-Benefit 137

Cost-Benefit IoT Internet of Things Data-driven 137

CIO Business Intelligence

MARCH 2, 2023

In Australia, government agencies are required to host data classified as “PROTECTED” or above in a facility with the highest level of certification. The manual states, “outsourced cloud services may be located offshore and subject to lawful and covert data collection without their customers’ knowledge.

Data Processing 52

Data Processing Data Collection Technology Risk 52

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

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

CIO Business Intelligence

JUNE 22, 2022

AssuredPartners is a full-service insurance broker providing commercial insurance, risk management, and employee benefits. Where are the data sets? Are the platforms with SaaS providers or hosted in-house? How is data collected and used in the organization? Who are the vendors and what are the contracts like?

IT 90

IT Insurance Cost-Benefit Risk Management 90

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

CIO Business Intelligence

JANUARY 20, 2023

But to get maximum value out of data and analytics, companies need to have a data-driven culture permeating the entire organization, one in which every business unit gets full access to the data it needs in the way it needs it. This is called data democratization. Security and compliance risks also loom.

Data Lake 120

Data Lake Data-driven Finance Data Architecture 120

IBM Big Data Hub

MAY 26, 2023

With the growth in usage of digital technology and cloud in the life sciences industry, digital information is more readily available and at a greater risk for exploitation. The role of AWS and cloud security in life sciences However, with greater power comes great responsibility.

Consulting 74

Consulting Cost-Benefit Optimization Machine Learning 74

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

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. That foundation means that you have already shifted the culture and data infrastructure of your company. If you can’t walk, you’re unlikely to run.

Management 327

Management Machine Learning Experimentation Metrics 327

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Ensure data literacy. Pursue a phased approach.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Sisense

MARCH 18, 2020

Software developers are often asked to create solutions that enable the collection, monitoring, and exchange of personal information. Our increasingly global workforce collaborates via a host of digital technologies spanning multiple countries and territorial borders. outdated history books), supervising teams (e.g.

Software 52

Software Machine Learning Internet of Things Risk 52

Cloudera

JANUARY 21, 2021

And you also already know siloed data is costly, as that means it will be much tougher to derive novel insights from all of your data by joining data sets. Of course you don’t want to re-create the risks and costs of data silos your organization has spent the last decade trying to eliminate. Must you be: .

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

Smart Data Collective

OCTOBER 26, 2019

While there is more of a push to use cloud data for off-site backup , this method comes with its own caveats. In the event of a network shutdown or failure, it may take much longer to restore functionality (and therefore connection) to a cloud-hosted off-site backup. Big Data Storage Concerns.

Big Data 45

Big Data Data Lake Cost-Benefit Measurement 45

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. 3) By workload priority.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Domino Data Lab

OCTOBER 9, 2019

We’ll examine National Oceanic and Atmospheric Administration (NOAA) data management practices which I learned about at their workshop, as a case study in how to handle data collection, dataset stewardship, quality control, analytics, and accountability when the stakes are especially high.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

datapine

OCTOBER 14, 2020

The point of such dashboards is not to simplify the working environment and analysis processes since there are massive volumes of data collected on a daily level, and companies need solutions that will bring them to the right answer at the right time. To further complicate things, the data can also be in multiple “languages”.

Dashboards 235

Dashboards Interactive Reporting KPI 235

Alation

FEBRUARY 8, 2022

Middlemen — data engineering or IT teams — can’t possibly possess all the expertise needed to serve up quality data to the growing range of data consumers who need it. As data collection has surged, and demands for data have grown in the enterprise, one single team can no longer meet the data demands of every department.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Jet Global

MAY 1, 2023

CEO Priorities Grow revenue and “hit the number” Manage costs and meet profitability goals Attract and retain talent Innovate and out-perform the competition Manage risk Connect the Dots Present embedded analytics as a way to differentiate from the competition and increase revenue. Let’s just give our customers access to the data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. I would think a key importance would be how you generate and what data points are used to analyze especially if it is manually retrieved. Here is the link to the replay, in case you are interested. This is flat wrong.

Analytics 64

Analytics Measurement Modeling Data-driven 64