Smart Data Collective

APRIL 24, 2022

An extremely good principle and starting point would be to honestly quantify the cybersecurity risk in your organization. To help administrators secure hosts consistently and efficiently, organizations should consider combining data security automation solutions with OS and application setup checklists.

Data Processing 132

Data Processing Risk Measurement Technology 132

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. Measurement, tracking, and logging is less of a priority in enterprise software. These companies eventually moved beyond using data to inform product design decisions.

Management 338

Management Machine Learning Experimentation Metrics 338

Smart Data Collective

MARCH 7, 2021

There are a lot of ways companies are using new advances in machine learning and other data technologies to mitigate the risks of cyberattacks. Attackers target mostly small to medium companies because they don’t take enough preventive measures against cyberattacks. VPN & Secured Hosting. Limit Administrative Privileges.

Big Data 133

Big Data Insurance Data Processing Software 133

datapine

MAY 2, 2023

According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments. In other words, UPS found that turning into oncoming traffic was causing a lot of delays, wasted fuel, and increased safety risk. Your Chance: Want to test a professional logistics analytics software?

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

O'Reilly on Data

JUNE 18, 2024

In conversation with reporter Cade Metz, who broke the story, on the New York Times podcast The Daily , host Michael Barbaro called copyright violation “ AI’s Original Sin.” This commons could be used as the basis not only for AI training but for measuring the vector similarity to existing works.

Advertising 353

Advertising Modeling Publishing Data Processing 353

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

Insurance 68

Insurance Risk Testing Data Quality 68

CIO Business Intelligence

OCTOBER 22, 2024

By 2028, 40% of large enterprises will deploy AI to manipulate and measure employee mood and behaviors, all in the name of profit. “AI By 2027, 70% of healthcare providers will include emotional-AI-related terms and conditions in technology contracts or risk billions in financial harm.

Risk 135

Risk Enterprise IoT Cost-Benefit 135

Smart Data Collective

SEPTEMBER 13, 2023

Hosting Your Own Website and Network Businesses that want to enjoy full control over their IT infrastructure opt for setting up everything in-house. The main benefit of hosting your own website and managing your own network can provide immense control and flexibility over your digital content and infrastructure. Financial health.

IT 115

IT Cost-Benefit Data Processing Software 115

CIO Business Intelligence

OCTOBER 9, 2024

However, this enthusiasm may be tempered by a host of challenges and risks stemming from scaling GenAI. Optimizing GenAI with data management More than ever, businesses need to mitigate these risks while discovering the best approach to data management. That’s why many enterprises are adopting a two-pronged approach to GenAI.

Strategy 143

Strategy Modeling Management Data Lake 143

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. How Do You Measure Data Quality? Table of Contents. 2) Why Do You Need DQM?

Data Quality 241

Data Quality Metrics Data-driven Management 241

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. That’s where model debugging comes in. Sensitivity analysis. Residual analysis.

Machine Learning 196

Machine Learning Modeling Testing Risk Management 196

datapine

MARCH 8, 2021

Healthcare specialist Kaiser Permanente, for example, leveraged healthcare reporting to assess, survey, and analyze patients that were at the biggest risk of a potential suicide attempt, discovering that the top 1% of patients flagged were 200 times more likely to take their own life. Cutting down unnecessary costs. Hospital KPI dashboard.

Reporting 198

Reporting KPI Management Cost-Benefit 198

Smart Data Collective

OCTOBER 8, 2023

A growing number of companies are recognizing that they need to take proactive measures to help bolster their data security. Software companies are among those most heavily affected, so they are taking dramatic measures. And today, we’ll talk about the most significant of these risks. However, they also pose a considerable risk.

Software 121

Software IoT Risk Internet of Things 121

CIO Business Intelligence

MAY 14, 2024

Private cloud providers may be among the key beneficiaries of today’s generative AI gold rush as, once seemingly passé in favor of public cloud, CIOs are giving private clouds — either on-premises or hosted by a partner — a second look. The excitement and related fears surrounding AI only reinforces the need for private clouds.

IT 143

IT Data Processing Enterprise Modeling 143

DataRobot Blog

JUNE 27, 2022

If the assumptions are being breached due to fundamental changes in the process being modeled, the deployed system is not likely to serve its intended purpose, thereby creating further model risk that the institution must manage. These observations would have spanned a distribution, which the model leveraged to make its forecasts.

Risk 59

Risk Modeling Metrics Measurement 59

O'Reilly on Data

APRIL 22, 2020

By leading programs with resources and measurable accountability, ethics leaders must articulate how ethics improves trust and loyalty. To gain more buy-in from top internal business leaders , ethics leaders can form coalitions with compliance , data, and even marketing departments.

Cost-Benefit 250

Cost-Benefit Finance Data-driven Strategy 250

Smart Data Collective

AUGUST 30, 2022

It also allows companies to offload large amounts of data from their networks by hosting it on remote servers anywhere on the globe. The testing helps reduce the overall cost, time, and risk associated with building new hardware so companies can focus more on their core business functions. Multi-cloud computing.

Technology 139

Technology Enterprise Cost-Benefit Testing 139

Smart Data Collective

JULY 27, 2022

Data security of a software application is the set of security measures implemented to prevent unauthorized access while protecting the data from being lost or corrupted. Businesses should choose a reputable and reliable hosting provider to secure the data on servers. However, this also means you rely on the server’s security.

Software 125

Software Data Processing Measurement Risk 125

CIO Business Intelligence

APRIL 25, 2024

Prepare now, thank yourself later While these mergers and acquisitions can be a positive catalyst for progress, the urge to rapidly close deals and return to business operations can outweigh ensuring proper security measures are in place – and so companies aren’t adopting one another’s poor security posture or hygiene. Cloud Management

Measurement 98

Measurement Risk Data Processing Marketing 98

CIO Business Intelligence

SEPTEMBER 29, 2023

Prevention: Nearly 75% of Forbes Global 2000 companies haven’t implemented vital domain security measures, indicating continued widespread susceptibility to domain and website spoofing. SMBs and startups are equally at risk. You need to use a reputable registrar and hosting provider. It is impossible to know their approaches.

Data Processing 140

Data Processing Behavioral Analytics Testing Software 140

CIO Business Intelligence

SEPTEMBER 12, 2024

These same decision-makers identify a host of challenges in implementing generative AI, so chances are that a significant portion of use is “unsanctioned.” The perils of unsanctioned generative AI The added risks of shadow generative AI are specific and tangible and can threaten organizations’ integrity and security.

Experimentation 111

Experimentation Risk Cost-Benefit Strategy 111

Smart Data Collective

SEPTEMBER 28, 2020

DIB networks host critical operational assets and data that is crucial to national security. They must also protect their employees through measures such as social distancing. In this regard, consider setting up a system for monitoring potential risk based on users’ behavior. How to Secure the DIB Against Ransomware Attacks.

Measurement 135

Measurement Data Processing Reporting Risk 135

Smart Data Collective

SEPTEMBER 20, 2023

Let’s explore how IoT and Cloud Integration work hand in hand to power the future: Of course, there are a lot of risks associated with cloud computing. However, cloud platforms are continually investing in advanced security measures. However, there are far more benefits that cannot be overlooked.

IoT 128

IoT Internet of Things Cost-Benefit Manufacturing 128

erwin

MARCH 25, 2021

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Usually we talk about benefits which are rather qualitative measures, but what we need for decision-making processes are values,” Pörschmann says. “We Strengthen data security.

Data Governance 109

Data Governance IT Cost-Benefit Risk 109

Smart Data Collective

NOVEMBER 9, 2021

Big Data is the Key to Addressing Driver Safety Risks. They have accumulated a lot of data on their drivers and are using it to help address these kids of risks. Fortunately, the same era of big data technology that brought the devices creating these risks could also bring the solutions to them. What is Distracted Driving?

Big Data 138

Big Data Manufacturing Risk Insurance 138

Smart Data Collective

MARCH 25, 2020

Machine learning is changing the web hosting industry in countless ways. Many third-party hosting providers, such as Amazon Web Services have started utilizing machine learning in different capacities. More traditional hosting providers are also using machine learning in different capacities.

Machine Learning 94

Machine Learning Data Processing Measurement Business Intelligence 94

bridgei2i

MAY 27, 2021

In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion. It’s also crucial for enterprises to plan for contingencies and take preventive measures to ensure biases do not creep into datasets after implementing algorithms into pilots.

Statistics 98

Statistics Digital Transformation Data Processing Forecasting 98

CIO Business Intelligence

JUNE 14, 2024

This raises the serious risk that an LLM could reveal sensitive proprietary business information. If it isn’t hosted on your infrastructure, you can’t be as certain about its security posture. However, these three GenBI solutions demonstrate that it’s possible to benefit from GenAI without risking a security breach.

Dashboards 124

Dashboards Visualization Business Intelligence Risk 124

CIO Business Intelligence

SEPTEMBER 24, 2024

As part of its “next steps” to address the issue, the company stated that “ServiceNow is continuing our preparation work to roll out the SSL Root certificate chain and remove the expired certificate used by your hosted instance.”

Data Processing 119

Data Processing Reporting Enterprise Measurement 119

CIO Business Intelligence

JUNE 13, 2024

Not instant perfection The NIPRGPT experiment is an opportunity to conduct real-world testing, measuring generative AI’s computational efficiency, resource utilization, and security compliance to understand its practical applications. For now, AFRL is experimenting with self-hosted open-source LLMs in a controlled environment.

Testing 119

Testing Experimentation Data Processing Modeling 119

CIO Business Intelligence

FEBRUARY 7, 2023

The chat brought together a host of security consultants and practitioners who weren’t shy about weighing in with their thoughts on a series of questions around the main topic: how to remain secure during cloud migrations. Assess end to end risk/ #security , PIA, clearly define data ownership via #datagovernance. you own it.

Data Processing 119

Data Processing Risk Management Risk Consulting 119

IBM Big Data Hub

APRIL 15, 2024

The average employee works on autopilot, and to ensure that cybersecurity issues and risks are ingrained in their day-to-day decisions, we need to design and build programs that truly understand their intuitive way of working. This needs to be coupled with effective metrics to measure progress and demonstrate the value.

Metrics 86

Metrics Measurement Risk Data Processing 86

erwin

MARCH 24, 2020

What questions need answering regarding planning and executing disaster recovery measures? Hardware and Software : Which assets are at risk in the event of an outage? A presentation layer will include web-based products, application layers holding the client software, data layers hosting the databases, etc.

Modeling 97

Modeling Data Processing Software Finance 97

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

Risk 52

Risk Modeling Metrics Business Objectives 52

datapine

NOVEMBER 13, 2019

There are a host of benefits to procurement reporting. With so many areas to consider, deciding which KPIs to focus on while defining metric measurement periods can prove to be a challenge at the initial stages. e) Take accurate measurements. c) Increase the efficiency of crucial KPIs.

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

Smart Data Collective

SEPTEMBER 19, 2022

Many organizations join hands with attack surface mapping and monitoring specialists to quantify their risk and introduce remedial steps to protect against breaches. From the workstations and servers to the outward-facing websites and web services hosting public APIs. The second major risk introduced by email is malware.

Machine Learning 110

Machine Learning Risk Technology Data Processing 110

Smart Data Collective

MARCH 12, 2020

The National Fire Protection Assocation has actually hosted a seminar on the role of big data in their profession. The more problems that are identified and addressed, the lower the cumulative risk of fire involving targeted properties. Success is measured somewhat differently in the fire safety arena, but it is measured, nonetheless.

Data Analytics 94

Data Analytics Analytics Big Data Key Performance Indicator 94