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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Smart Data Collective

OCTOBER 13, 2021

As we have already said, the challenge for companies is to extract value from data, and to do so it is necessary to have the best visualization tools. Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields).

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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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Smart Data Collective

JUNE 22, 2023

Taking the world by storm, artificial intelligence and machine learning software are changing the landscape in many fields. One such field is data labeling, where AI tools have emerged as indispensable assets. One such field is data labeling, where AI tools have emerged as indispensable assets. trillion by 2032.

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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

In a previous article, I invited you to dream with me about the future of how Artificial Intelligence (AI) will serve as a natural language interface for all technological applications. Banking sector : integrating credit information, accounts, and financial transactions.

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Timo Elliott

SEPTEMBER 20, 2019

.” After struggling to find some way to talk about data that hasn’t already been covered a thousand times over the last few decades, I ended up focusing on real-world examples of organizations that have used data to innovate the way they do business.

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Smart Data Collective

JANUARY 9, 2023

Whether it’s data about customer demographics , product colors that tend to sell better, or which cold email scripts are the most effective, organizations have the power to utilize data to help them inform their decision-making process in a variety of ways. Accurately Informing Marketing Strategies.

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Smart Data Collective

DECEMBER 7, 2020

The latest innovation in the proxy service market makes every data gathering operation quicker and easier than ever before. Since the market for big data is expected to reach $243 billion by 2027 , savvy business owners will need to find ways to invest in big data. The Growth of AI in Web Data Collection.

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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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Smart Data Collective

OCTOBER 4, 2021

Unfortunately, big data is only as useful as it is accurate. Data quality issues can cause serious problems in your big data strategy. Customers won’t always directly tell you the information your company needs to provide better products or services. It relies on data to drive its AI algorithms.

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Timo Elliott

DECEMBER 14, 2022

Gartner calls it the Composable Enterprise , for example – it’s about having a solid information foundation that enables fast and flexible creation of what they call composable applications that allow you to create new applications and workflows by just bringing together modular components.

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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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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

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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Astera

OCTOBER 30, 2024

Data’s value to your organization lies in its quality. Data quality becomes even more important considering how rapidly data volume is increasing. According to conservative estimates, businesses generate 2 hundred thousand terabytes of data every day. How does that affect quality? million on average.

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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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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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Timo Elliott

JANUARY 22, 2019

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.

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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

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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Astera

APRIL 28, 2023

This is where intelligent systems come in. Artificial intelligence (AI) and intelligent systems have significantly contributed to data management, transforming how organizations collect, store, analyze, and leverage data. Serving as a unified data management solution.

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BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

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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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Tableau

APRIL 18, 2022

A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Instead of centralizing data stores, data fabrics establish a federated environment and use artificial intelligence and metadata automation to intelligently secure data management. .

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Tableau

APRIL 18, 2022

A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Instead of centralizing data stores, data fabrics establish a federated environment and use artificial intelligence and metadata automation to intelligently secure data management. .

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Dataversity

OCTOBER 14, 2024

The promise of artificial intelligence to catapult businesses to new heights in productivity, decision-making, and customer experience is very real. Unfortunately, a lot of the information about AI that enterprise leaders are using to guide decisions right now is not.

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Dataversity

MAY 20, 2021

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

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Data Pine

JANUARY 21, 2020

Big data plays a crucial role in online data analysis , business information, and intelligent reporting. Companies must adjust to the ambiguity of data, and act accordingly. One additional element to consider is visualizing data. Let’s see another example. click to enlarge**. Source: newgenapps.com *.

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Data Pine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Be open-minded about your data sources in this step – all departments in your company, sales, finance, IT, etc.,

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Dataversity

NOVEMBER 9, 2023

In today’s data-driven world, where every byte of information holds untapped potential, effective Data Management has become a central component of successful businesses. The ability to collect and analyze data to gain valuable insights is the basis of informed decision-making, innovation, and competitive advantage.

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