Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. An AI system trained on data has no context outside of that data. For example, consider the case of an AI system used to prioritise patients admitted to hospital. We briefly summarise each challenge below. Capturing Intent.

Government 100

Government Hospitality Education Data Governance 100

KDnuggets

OCTOBER 27, 2022

Learn how data-centric AI can improve your model's overall performance.

Data 116

Data 116

KDnuggets

OCTOBER 8, 2019

As so many more organizations now rely on AI to deliver services and consumer experiences, establishing a public trust in the AI is crucial as these systems begin to make harder decisions that impact customers.

Systems 70

Systems 70

Cloudera

APRIL 18, 2024

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. Do I trust my data to be ready for use in AI? Do I trust the models to give me useful insights?

Metadata 107

Metadata Government Data Governance Data 107

Snowflake

MAY 15, 2024

According to Infosys, 35% of AI projects will either fail or experience delays because of poor data quality. There’s a huge gap between the data quality most companies have by default and the data quality needed for successful AI. And that gap is directly affecting the performance and reliability of AI systems everywhere.

Cloud 90

Cloud Metadata Data Pipeline Government 90

Precisely

NOVEMBER 20, 2023

AI transforms how we interact with technology, make decisions, and solve complex problems. What defines a successful AI initiative, and how can your organization ensure that your investments and hard work deliver maximum value for your organization? What Does a Successful AI Initiative Look Like? What does that mean for AI?

Raw Data 121

Raw Data Insurance Data Retail 121

LinkedIn Engineering

JUNE 20, 2023

Co-authors: Shivansh Mundra , Gonzalo Aniano Porcile , Smit Marvaniya , Hany Farid A core part of what we do on the Trust Data Team at LinkedIn is create, deploy, and maintain models that detect and prevent many types of abuse. A common technique used to create AI-generated photos is the generative adversarial network (GAN).

Media 132

Media Datasets Programming Engineering 132

Cloudera

MAY 9, 2024

The theme of this year’s summit, “Generating Value Together: Creating Synergies between Data, Analytics & AI,” could not have come at a better time as we push forward on our AI and analytics journey together. With that, let’s take a closer look at what the Cloudera team will be doing over the course of the event.

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Banking Data Storage Data Analytics Cloud 84

databricks

MAY 6, 2024

Introduction Organizations aiming to become AI and data-driven often need to provide their internal teams with high-quality and trusted data products. Building.

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Building Data 81

Snowflake

FEBRUARY 14, 2024

Generative AI’s (gen AI) capabilities seemed startlingly novel a year ago, when ChatGPT’s release led to an explosion of public usage and, simultaneously, intense debate about its potential societal and business impacts. How do we build trust in AI? In the past year, it seems everybody’s become an expert in generative AI.

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Architecture Government Data Management Management 83

Snowflake

JANUARY 30, 2024

Yes, there are certainly many examples of hardships and horrors in the world today, but the promise of new AI technologies as a possible solution also infiltrated the conversation at Davos. The promise and challenge of AI But there is hope. Meanwhile, on the streets of Davos at the annual meeting itself, AI also took center stage.

Food 88

Food Government Education Data 88

Cloudera

MARCH 26, 2024

Today, 44% of organizations are experimenting with generative AI, with 10% having already implemented it in operational settings. Companies must act now in order to stay in the AI Race. What about security, privacy, and trust concerns? But for many enterprises, the biggest hurdle is getting started.

Machine Learning 81

Machine Learning Banking Professional Services Architecture 81

Data Engineering Podcast

OCTOBER 1, 2023

Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI. What are some of the types of errors that you are likely to experience from the AI?

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Building BI SQL Machine Learning 162

Cloudera

DECEMBER 19, 2023

There, I met with IT leaders across multiple lines of business and agencies in the US Federal government focused on optimizing the value of AI in the public sector. Predictably, the roundtable participants I spoke with were guardedly optimistic about the potential for generative AI to accelerate their agency’s mission.

Government 88

Government Education Unstructured Data Datasets 88

Christophe Blefari

JUNE 16, 2023

I'm now under the Berlin rain with 20° When I write in these conditions I feel like a tortured author writing a depressing novel while actually today I'll speak about the AI Act, Python, SQL and data platforms. AI 🤖 AI Act 🇪🇺 has been voted in the European parliament. Also called GDPR 2.0

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Programming Language SQL PostgreSQL Data 130

Snowflake

MARCH 4, 2024

In this edition, we’ll hear how Maria Marti, founder and CEO of ZeroError , used her experiences as an engineer and an executive to build a team and create the AI analytics assistant she always wanted — but never had. ZeroError is an enterprise AI platform designed to detect errors and fraud in data. At our heart, we are an AI company.

BI 75

BI Business Intelligence Building Programming 75

Cloudera

MARCH 22, 2024

As enterprise AI technologies rapidly reshape our digital environment, the foundation of your cloud infrastructure is more critical than ever. As a trusted enterprise Linux OS, RHEL boasts certification across hundreds of clouds and thousands of hardware and software vendors.

Cloud 113

Cloud Certification Systems Architecture 113

Snowflake

OCTOBER 25, 2023

You’ve likely heard about it from co-workers, vendors and peers, and if you had a nickel for every AI mention you heard … well, you get the point. With the release of ChatGPT late last year, OpenAI supercharged the conversation around large language models (LLMs), marking 2023 as “the year of AI.” And how are you collecting it?

Government 88

Government Accessible Accessibility Technology 88

Monte Carlo

NOVEMBER 9, 2023

From AI-generated images of the Pope in head-to-toe Balenciaga to customer support agents without pulses , generative AI has the potential to transform society as we know it. All too often, companies rush into building AI applications with little foresight into the financial and organizational impact of their experiments.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

Data Engineering Podcast

OCTOBER 15, 2023

As more people start using AI for projects, two things are clear: It’s a rapidly advancing field, but it’s tough to navigate. Instead of being subjected to a bunch of buzzword bingo, hear directly from pioneers in the developer and data science space on how they use graph tech to build AI-powered apps.

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Process Building SQL BI 182

Data Engineering Podcast

OCTOBER 22, 2023

As more people start using AI for projects, two things are clear: It’s a rapidly advancing field, but it’s tough to navigate. Instead of being subjected to a bunch of buzzword bingo, hear directly from pioneers in the developer and data science space on how they use graph tech to build AI-powered apps.

BI 162

BI SQL Machine Learning Programming Language 162

LinkedIn Engineering

NOVEMBER 1, 2023

(This article originally appeared on LinkedIn ) Advancements in AI are already starting to transform jobs, skills, and career paths, and we know that our members and customers are thinking about the implications for this new world of work. With that goal in mind, applying an off-the-shelf LLM technology was far from sufficient.

Building 82

Building Recruitment Engineering Technology 82

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

Kafka 92

Kafka Technology IT Government 92

Data Engineering Podcast

OCTOBER 8, 2023

Learn more about Datafold by visiting dataengineeringpodcast.com/datafold As more people start using AI for projects, two things are clear: It’s a rapidly advancing field, but it’s tough to navigate. How can you get the best results for your use case? How can you get the best results for your use case?

Insurance 162

Insurance BI SQL Machine Learning 162

Precisely

MARCH 4, 2024

What if every decision, recommendation, and prediction made by artificial intelligence (AI) was as reliable as your most trusted team members? This isn’t a distant dream – it’s a tangible reality with trusted AI. But how can you make sure your AI can be trusted?

Amazon Web Services 72

Amazon Web Services Data Integration High Quality Data Government 72

Cloudera

APRIL 11, 2024

Lan exemplifies the importance of creative marketing, innovative solutions, and building trust across Cloudera’s extensive and essential partner ecosystem. This customer-centric approach aligns perfectly with our growth themes, which revolve around AI, hybrid solutions, and modern data architecture.

Food 88

Food Data Architecture Architecture Programming 88

Cloudera

APRIL 2, 2024

Moreover, as emerging technologies like generative AI proliferate across Federal use cases, the need for trusted data that is secure, governed and ready for AI has never been more acute.

Designing 99

Designing Process Government Metadata 99

Precisely

MARCH 7, 2024

Insurance industry leaders are just beginning to understand the value that generative AI can bring to the claims management process. Yet experts warn that without proactive attention to data quality and data governance, AI projects could face considerable roadblocks.

Insurance 72

Insurance Process Medical Data Governance 72

Precisely

MAY 6, 2024

Key Takeaways: Enhance your customer digital adoption strategy through automation, personalization, and omnichannel consistency that exceeds expectations and fosters trust and loyalty. Trusted data gives you a deeper look into their preferences, so you can understand and anticipate their needs.

Retail 59

Retail Banking Technology Systems 59

Precisely

DECEMBER 14, 2023

Data integrity empowers your businesses to make fast, confident decisions based on trusted data that has maximum accuracy, consistency, and context. Trusted Generative AI using Precisely and AWS Welcome to an era where machines are breaking free from their traditional analytical roles to unleash boundless creativity and innovation.

Data Integration 69

Data Integration AWS Data Machine Learning 69

Precisely

JANUARY 22, 2024

Intensive digitization and the rise of artificial intelligence (AI), an uncertain economic climate, and evolving consumer expectations mean that delivering an outstanding customer experience (CX) is more important than ever. AI holds tremendous potential, but massive risk when the data isn’t trustworthy. The bottom line?

Data Integration 59

Data Integration High Quality Data Machine Learning Data Governance 59

Striim

FEBRUARY 26, 2024

Artificial intelligence (AI) uses information to make important choices in different industries. Just like a tall building needs a strong plan and base, successful AI requires good data models. Organizing, storing, and accessing data is important for AI. It affects how well AI programs and apps work.

Data Cleanse 52

Data Cleanse Business Intelligence Data Data Integration 52

Striim

MAY 1, 2024

This deficiency affected not only operational efficiency but also eroded consumer trust and impacted the financial performance of the company. This seamless data flow into Google BigQuery allowed for advanced analytics, leveraging AI and machine learning to predict potential delivery risks and optimize logistics strategies effectively.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

ThoughtSpot

JANUARY 31, 2024

Recent advances in AI and machine learning are not only changing the way we interact with data, but also pushing those of us who build analytics and BI platforms to think critically about how our products can best serve our customers moving forward. Here’s how our AI-powered analytics technology works for any and every kind of user today.

BI 88

BI Business Intelligence Machine Learning Data 88

Monte Carlo

MARCH 25, 2024

When we launched the data observability category in 2020, we set out to solve a very real problem: data trust. Enter data observability, the data stack-defining solution that’s helped data leaders and their teams sleep soundly at night knowing that their stakeholders can trust their data and AI. EMEA, and other markets.

MySQL 64

MySQL Government Data Governance Kafka 64

Cloudera

MAY 13, 2024

Businesses today face unique challenges, whether it’s with hybrid cloud, AI, data analytics, or all of the above. A three-time winner of the Women of the Channel awards, Valaretha regularly aligns with trusted advisor partner contacts to deliver innovative demand-generation programs.

Programming 86

Programming Government Cloud Technology 86

ThoughtSpot

MARCH 5, 2024

While AI-powered, self-service BI platforms like ThoughtSpot can fully operationalize insights at scale by delivering visual data exploration and discovery, it still requires robust underlying data management. Learn more about AI-Powered Analytics for your Snowflake Data Cloud. Now, that’s changing. What are dynamic tables?

BI 94

BI Datasets Raw Data SQL 94