Cloudera

JANUARY 7, 2025

In order for data to bring true value to operationsand ultimately customer experiencesthose data insights must be grounded in trust. Building that culture is around trust. You’re in the business of building trust. As soon as you build trust, you can do anything. Why am I doing this? Why are we doing this?

Predictive Modeling 81

Predictive Modeling Modeling Forecasting Data-driven 81

CIO Business Intelligence

DECEMBER 5, 2024

AI faces a fundamental trust challenge due to uncertainty over safety, reliability, transparency, bias, and ethics. At the top of the list of trust requirements is that AI must do no harm. Generative artificial intelligence (AI) is hot property when it comes to investment, but there’s a pronounced hesitancy around adoption.

Cost-Benefit 59

Cost-Benefit Uncertainty Marketing Risk 59

CIO Business Intelligence

MAY 20, 2025

Here are eight best practices that every CIO and CISO should mandate across their environments: Zero trust architecture (ZTA). Trust nothing. Hardware root of trust. Leverage secure boot, trusted platform modules (TPMs) and hardware-backed key storage to establish tamper-resistant trust anchors.

IoT 119

IoT Internet of Things Manufacturing Risk 119

TDAN

MAY 21, 2025

As artificial intelligence (AI) progresses from offering suggestions to making autonomous decisions, organizations face a fundamental trust challenge: Can you confidently rely on AI systems to make consequential business decisions?

Modeling 52

Modeling Data Architecture Data Governance Big Data 52

CIO Business Intelligence

MAY 6, 2025

Market research from KPMG has found many Kiwis dont trust artificial intelligence technology, even some who use it regularly. However, only 34% were willing to trust it and 44% believed the risks of AI outweighed its benefits. The research, released today, found 69% of New Zealanders use AI regularly.

Reporting 52

Reporting Risk Marketing Technology 52

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

Maintaining quality and trust is a perennial data management challenge, the importance of which has come into sharper focus in recent years thanks to the rise of artificial intelligence (AI). Having trust in data is crucial to business decision-making. Regards, Matt Aslett

Data Quality 130

Data Quality Dashboards Data-driven Software 130

O'Reilly on Data

JANUARY 21, 2025

Weve been told 2025 will be the Year of Agents, but at the same time theres a growing consensus from the likes of Anthropic , Hugging Face , and other leading voices that complex workflows require more control than simply trusting an LLM to figure everything out.

Cost-Benefit 305

Cost-Benefit Testing Interactive Software 305

DataKitchen

MAY 17, 2025

But from a trust standpoint? We trusted stakeholders to define critical business rules that would test for major problems. They trusted us to implement their logic with every refresh. We trusted each other not to blame and shame, but to steadily build out better and better testing to benefit everyone. The takeaway?

Testing 118

Testing Data Quality Data Warehouse Dashboards 118

Analytics Vidhya

MARCH 23, 2023

This blog post will delve into the incident, its implications, and the essential steps required to ensure user privacy and trust in the age of AI. […] The post Navigating Privacy Concerns: The ChatGPT User Chat Titles Leak Explained appeared first on Analytics Vidhya.

Data-driven 329

Data-driven Modeling Analytics IT 329

Corinium

JUNE 26, 2020

The threats ethical challenges pose to public trust in AI systems are growing rapidly as organizations deploy these technologies in ever more sophisticated ways. As the impact AI technologies have on people’s lives grows, businesses can’t afford to take the trust people place in AI tools for granted.

Technology 341

Technology Machine Learning 341

Analytics Vidhya

JULY 5, 2022

Introduction Blockchain is a decentralized, distributed public ledger that lets us collaborate and coordinate the members that do not trust each other to make a secure transaction. This article was published as a part of the Data Science Blogathon.

Data Science 390

Data Science Publishing Analytics Technology 390

Analytics Vidhya

JANUARY 17, 2024

They intend to provide smooth transitions addressing challenges such as cost, scale, and trust. The multi-year agreement focuses on helping clients move beyond experimental stages to full-scale generative AI implementations.

Experimentation 337

Experimentation Analytics Machine Learning 337

Analytics Vidhya

APRIL 17, 2024

LINGO-2 connects linguistic explanations with real-time decision-making, enhancing trust and confidence in AI-driven vehicles. This revolutionary driving model combines vision, language, and action, bringing a lot more control and customization into autonomous driving.

Modeling 337

Modeling Analytics Technology 337

CIO Business Intelligence

NOVEMBER 5, 2024

However, the benefits are expected to remain largely confined to the US, with limited effect on CIO decisions in other regions, particularly Europe, where stringent regulations mean that credibility alone may not be enough to secure trust, according to Priya Bhalla, practice director at Everest Group.

Modeling 126

Modeling Enterprise Technology Publishing 126

Analytics Vidhya

SEPTEMBER 14, 2023

We must understand how it thinks and decide if we can trust it. It’s like having a chat with a machine that speaks your language. But here’s the twist: AI needs more than fancy words.

Analytics 337

Analytics IT Modeling 337

Analytics Vidhya

MAY 7, 2024

Either way, you will need the right resources to TRUST, LEARN and SUCCEED. Introduction Are you following the trend or genuinely interested in Machine Learning? If you are unable to find the right Machine Learning resource in 2024? We are here to help.

Machine Learning 330

Machine Learning Analytics Deep Learning Data Science 330

CIO Business Intelligence

APRIL 8, 2025

These issues dont just hinder next-gen analytics and AI; they erode trust, delay transformation and diminish business value. One thing is clear for leaders aiming to drive trusted AI, resilient operations and informed decisions at scale: transformation starts with data you can trust.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Analytics Vidhya

OCTOBER 25, 2023

Explainable AI aims to make machine learning models more transparent to clients, patients, or loan applicants, helping build trust and social acceptance of these systems. Introduction In today’s data-driven world, machine learning is playing an increasingly prominent role in various industries.

Modeling 320

Modeling Machine Learning Data-driven Analytics 320

Analytics Vidhya

DECEMBER 9, 2023

While GitHub has long been the trusted companion for code management, it’s time to explore the vast landscape of alternative platforms designed specifically for the unique needs of data science projects. Introduction Ae you ready to break free from the GitHub cage?

Data Science 320

Data Science Management Analytics IT 320

Analytics Vidhya

DECEMBER 21, 2023

This article explores ‘Uncertainty Modeling,’ a fundamental aspect of AI often overlooked but crucial for ensuring trust and safety. Introduction In our AI-driven world, reliability has never been more critical, especially in safety-critical applications where human lives are at stake.

Uncertainty 320

Uncertainty Modeling Data-driven Analytics 320

O'Reilly on Data

JULY 20, 2021

If you think about the spectrum of people who could be in your house, they range from people whom you trust, to people who you don’t really trust but who should be there, to those who you shouldn’t trust at all. There is a spectrum of trust for people who have access to communal devices. Source: [link].

Risk 338

Risk Software Interactive Modeling 338

O'Reilly on Data

APRIL 22, 2020

These strategies contribute to perceptions of trust. Trust has to be earned, is easily lost, and is difficult to regain. But unethical behavior is likely to lose your customers’ or business partners’ trust ; they will view your actions with suspicion. As a result, to build trust, a company should lead with ethics.

Cost-Benefit 318

Cost-Benefit Finance Data-driven Strategy 318

CIO Business Intelligence

DECEMBER 5, 2024

Diversification and trust-based partnerships are emerging as key pillars of this shift, as businesses seek to mitigate risks associated with reliance on a single region or supplier. The US has been working to address the inherent fragility of supply chains by building stronger, trusted networks among allies and strategic partners.

Uncertainty 111

Uncertainty Risk Strategy Manufacturing 111

DataKitchen

OCTOBER 30, 2024

Can I ever trust our data?” “That should take two hours, not two months. Can’t your Data & Analytics Team go any faster?” “The The executives’ dashboard broke! The data’s wrong! If you’ve ever heard (or had) these complaints about speed-to-insight or data reliability, you should watch our webinar, DataOps for Beginners, on demand.

Dashboards 130

Dashboards Analytics IT 130

David Menninger's Analyst Perspectives

JANUARY 25, 2021

Without data integrity, organizations cannot trust the information produced by their data processes, and will be discouraged from using that data, resulting in inefficiencies and reduced effectiveness.

Data Integration 292

Data Integration Data Processing Data Lake IT 292

Analytics Vidhya

JUNE 28, 2023

In a report titled “Hope, Fear, and AI,” The Verge has unveiled the results of its latest “Trust Survey,” shedding light on the opinions and perceptions of American consumers regarding artificial intelligence (AI).

Reporting 291

Reporting Analytics IT Technology 291

AWS Big Data

MARCH 6, 2025

With the newly released feature of Amazon Redshift Data API support for single sign-on and trusted identity propagation , you can build data visualization applications that integrate single sign-on (SSO) and role-based access control (RBAC), simplifying user management while enforcing appropriate access to sensitive information.

Visualization 103

Visualization Sales Data Warehouse Management 103

CIO Business Intelligence

NOVEMBER 18, 2024

Organizations that are determined to control costs, minimize risk, and maximize productivity in their execution of an AI strategy should start small, leverage state-of-the-art technology, and work with trusted partners.

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

O'Reilly on Data

OCTOBER 12, 2021

But what if we don’t get to the point where we trust automatically generated code as much as we now trust the output of a compiler? When we can trust the output of a code model, we’ll see a rapid phase change. Slinging code” in whatever the language would become less common.

Testing 363

Testing Measurement Consulting Modeling 363

CIO Business Intelligence

JANUARY 7, 2025

In: Increased training on security, safety, and trust If CIOs and CISOs find it challenging to educate employees to recognize malicious emails and train them not to click on links from unknown sources, then the new wave of AI threats will require doubling these efforts.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143