Dataversity

SEPTEMBER 16, 2024

Public sector agencies increasingly see artificial intelligence as a way to reshape their operations and services, but first, they must have confidence in their data. Accurate information is crucial to delivering essential services, while poor data quality can have far-reaching and sometimes catastrophic consequences.

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Dataversity

SEPTEMBER 18, 2024

Artificial Intelligence (AI) has earned a reputation as a silver bullet solution to a myriad of modern business challenges across industries. From improving diagnostic care to revolutionizing the customer experience, many industries and organizations have experienced the true transformational power of AI.

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Dataversity

JANUARY 8, 2021

More and more companies want to use artificial intelligence (AI) in their organization to improve operations and performance. The post Good AI in 2021 Starts with Great Data Quality appeared first on DATAVERSITY. Achieving good AI is a whole other story.

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Dataversity

SEPTEMBER 11, 2023

This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month, we’re talking about the interplay between Data Governance and artificial intelligence (AI). Read last month’s column here.)

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Analysts Corner

OCTOBER 31, 2023

Integrated Knowledge Bases — AI Midjourney generated image In this second article in the series, I will explore a possible path for AI advancement that must have a profound impact on our society: access to integrated knowledge bases. Management : monitoring transactional data from business operations to generate indicators at various levels.

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Dataversity

NOVEMBER 25, 2024

The emergence of artificial intelligence (AI) brings data governance into sharp focus because grounding large language models (LLMs) with secure, trusted data is the only way to ensure accurate responses. So, what exactly is AI data governance?

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The Data Administration Newsletter

FEBRUARY 5, 2025

Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. addressed some of the […]

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Dataversity

FEBRUARY 14, 2023

There are several data-driven technologies that are primed to take off this year.

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Dataversity

DECEMBER 20, 2022

The post Data Quality Best Practices to Discover the Hidden Potential of Dirty Data in Health Care appeared first on DATAVERSITY. Health plans will […].

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Dataversity

MARCH 13, 2024

The global market for artificial intelligence (AI) in insurance is predicted to reach nearly $80 billion by 2032, according to Precedence Research. This growth is being driven by the increased adoption of AI within insurance companies, enhancing their operational efficiency, risk management, and customer engagement.

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The Data Administration Newsletter

DECEMBER 4, 2024

We have lots of data conferences here. I’ve taken to asking a question at these conferences: What does data quality mean for unstructured data? Over the years, I’ve seen a trend — more and more emphasis on AI. This is my version of […]

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Dataversity

MAY 24, 2024

With the rapid development of artificial intelligence (AI) and large language models (LLMs), companies are rushing to incorporate automated technology into their networks and applications. However, as the age of automation persists, organizations must reassess the data on which their automated platforms are being trained.

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Dataversity

JUNE 4, 2024

In late 2023, significant attention was given to building artificial intelligence (AI) algorithms to predict post-surgery complications, surgical risk models, and recovery pathways for patients with surgical needs.

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Timo Elliott

JANUARY 5, 2022

This is a English translation of an article by Thérèse van Bellinghen that first appeared on the SAP News Blog. . They discussed how medium and small sized enterprises should handle the digital transformation, and the concrete roles of Data Protection Officers and Innovation Evangelists during this process.

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Dataversity

JUNE 28, 2021

Artificial intelligence (AI) is no longer the future – it’s already in our homes, cars, and pockets. Click to learn more about author Anne Hardy. As technology expands its role in our lives, an important question has emerged: What level of trust can – and should – we place in these AI systems? Trust is […].

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Dataversity

APRIL 26, 2024

Artificial intelligence is here to change the world, and it is up to us to embrace this technology and use it responsibly to reap its full potential.

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Dataversity

APRIL 8, 2024

Reusing data is a fundamental part of artificial intelligence and machine learning. Yet, when we collect data for one purpose, and use it for other purposes, we could be crossing both legal and ethical boundaries. How can we address the ethics of reusing data?

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Domo

OCTOBER 3, 2017

Without the transparency that analytics provides, it will be difficult to judge the results of any artificial intelligence system. We’re already beginning to see examples of poor decisions being made by algorithms and data models with little insight into their rationale. Tweet this.

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Dataversity

DECEMBER 15, 2023

The world of artificial intelligence (AI) is evolving rapidly, bringing both immense potential and ethical challenges to the forefront. In this context, it is essential to remember that intelligence, when misused, can be graver than not having it at all.

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Dataversity

APRIL 1, 2022

Artificial intelligence (AI) and machine learning (ML) are continuing to transform the insurance industry. Many companies are already using it to assess underwriting risk, determine pricing, and evaluate claims.

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Dataversity

OCTOBER 7, 2024

This month, we’re enjoying some time in the fall sun and the local library diving into Laura Madsen’s “AI & The Data Revolution.” The central theme of this book is the management and impact of artificial intelligence (AI) disruption in the workplace.

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Dataversity

MARCH 17, 2023

The resulting economic uncertainty and growth of industry-wide trends, including ESG, cloud migration, and the rise of artificial intelligence and machine learning programs – such as OpenAI’s newly launched GPT-3 model and […] The post How Data Integrity Can Maximize Business Value appeared first on DATAVERSITY.

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Dataversity

MAY 20, 2021

Performance includes Data Quality, model accuracy, and speed. In this article, we will look at our second pillar of trust, operations. There are three pillars of trusted AI: performance, operations, and ethics. The post The Second Pillar of Trusted AI: Operations appeared first on DATAVERSITY.

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Dataversity

JUNE 21, 2023

Artificial intelligence (AI) could boost company productivity by 1.5%, increasing S&P 500 profits by 30% over the next 10 years. The rapid success of generative AI technologies such as ChatGPT is an excellent example of how companies can shape their fortunes by harnessing the power of the data they hold.

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Dataversity

OCTOBER 14, 2024

I was asking them about the ways in which generative AI might impact their business and they shared that clients might not want to pay $50,000 for a slide deck anymore if they disclosed that generative AI […] The post Ask a Data Ethicist: Does Using Generative AI Devalue Professional Work?

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Sisense

APRIL 15, 2021

Whatever you do and however you do it, augmented analytics serve up deeper intelligence from data with less heavy lifting. In this article, we’ll run through the ways augmented analytics will improve your analytics user experience and outcomes, no matter your level of technical skill. Simplify analytics with AI.

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Astera

OCTOBER 29, 2024

Information extraction (IE) finds its roots in the early development of natural language processing (NLP) and artificial intelligence (AI), when the focus was still on rule-based systems that relied on hand-crafted linguistic instructions to extract specific information from text. What is information extraction?

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Astera

DECEMBER 3, 2024

This blog is all about intelligent document processing in logistics and the role of IDP in automating document management in the industry. Multiple stakeholders, diverse document types, and manual processes all but complicate document tracking.

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The Data Administration Newsletter

MAY 1, 2024

If you look at Google Trends, you’ll see that the explosion of searches for generative AI (GenAI) and large language models correlates with the introduction of ChatGPT back in November 2022.

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The BAWorld

MAY 25, 2024

While data has extreme potential to change how we run things in the business world, there are also cons or risks if this data is mishandled. By the time we reached the 2020s, the emphasis or the focus moved to collecting and managing high-quality data for specific requirements or purposes.

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Dataversity

AUGUST 16, 2024

Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. […] The post Enterprise Data World 2024 Takeaways: Key Trends in Applying AI to Data Management appeared first on DATAVERSITY.

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Dataversity

SEPTEMBER 29, 2022

Data-centric AI is gaining momentum among engineers. While traditionally, a model-centric approach has been used to improve accuracy for a variety of applications, the increase of data available today and the benefits of using reliable data are leading engineers to reevaluate their priorities and workflows.

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Dataversity

MAY 8, 2023

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting Data Governance” because I firmly believe […] The post Dear Laura: How Will AI Impact Data Governance? Welcome to the Dear Laura blog series!

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Dataversity

APRIL 30, 2021

The goal of digital transformation remains the same as ever – to become more data-driven. We have learned how to gain a competitive advantage by capturing business events in data. Events are data snap-shots of complex activity sourced from the web, customer systems, ERP transactions, social media, […].

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Dataversity

JUNE 14, 2022

We are living in turbulent times. Online security has always been an area of concern; however, with recent global events, the world we now live in has become increasingly cloud-centric.

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Dataversity

JULY 7, 2023

But the widespread harnessing of these tools will also soon create an epic flood of content based on unstructured data – representing an unprecedented […] The post Navigating the Risks of LLM AI Tools for Data Governance appeared first on DATAVERSITY.

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Dataversity

JULY 21, 2022

Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical culture, where high volumes of opaque data are thrown arbitrarily at an algorithm until it yields useful business intelligence.

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