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

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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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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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 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

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

APRIL 1, 2022

Artificial intelligence (AI) and machine learning (ML) are continuing to transform the insurance industry. But if the proper guardrails and governance are not put into place early, insurers could face legal, regulatory, reputational, operational, and strategic consequences down the road. […].

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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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Astera

MAY 4, 2023

In this blog, we will explore how businesses can leverage the potential of automated document processing while maintaining transparency. Transparency: The Key Ingredient for Successful Automated Document Processing The global intelligent document processing market revenue stood at $1.1

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Astera

NOVEMBER 30, 2023

The technology: Struggled to adapt to changing data types. Couldn’t handle vast volumes of data. Lacked real-time data processing capabilities. Didn’t align well with current technology or data governance requirements. Data Vault 2.0 Business-Centric Focus: Data Vault 2.0 Data Vault 2.0’s

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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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Dataversity

OCTOBER 23, 2023

Organizations have long struggled with the “eternal data problem” – that is, how to collect, store, and manage the massive amount of data their businesses generate. This problem will become more complex as organizations adopt new resource-intensive technologies like AI and generate even more data.

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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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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

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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Dataversity

JANUARY 6, 2022

Organizations are at a pinnacle time to address how to leverage intelligent technologies. As a part of their modernization strategies, AI can help companies keep up with changing expectations from customers for more digital transactions and increase the efficiency in which they manage the influx of new digital content.

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Dataversity

MAY 3, 2023

AI ethics are a factor in responsible product development, innovation, company growth, and customer satisfaction. However, the review cycles to assess ethical standards in an environment of rapid innovation creates friction among teams. Companies often err on getting their latest AI product in front of customers to get early feedback.

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Dataversity

AUGUST 25, 2023

The emergence of large language models (LLMs) has ushered in a new era of generative AI tools with unprecedented capabilities. These powerful models, such as ChatGPT and others, possess the ability to make contextual connections in ways that were previously unimaginable.

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Dataversity

JULY 12, 2023

Mere months after generative AI captured the world’s attention, leaders like OpenAI’s Sam Altman and Google’s Sundar Pichai testified before Congress with a simple message: Prioritize AI regulation before the technology gets out of hand.

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Dataversity

OCTOBER 24, 2022

The arguments for greater urgency to attain AI supremacy have raged for years among technology experts and national policymakers. Some have cited serious concerns due to U.S. lethargy in tech development. Others posit the race for AI supremacy is actually one between U.S. and Chinese private-sector companies like Amazon and Alibaba.

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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 8, 2023

AI is everywhere, and it is growing. In a 2022 edition of an annual global AI survey, a leading consulting firm found that adoption among enterprises had more than doubled in five years, with about 50% of respondents using it in at least one business unit or function.

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Dataversity

JUNE 12, 2023

As AI technologies continue to evolve and permeate various aspects of our lives, concerns about data […] The post AI and Privacy: Navigating the Intersection of Technology and Personal Data appeared first on DATAVERSITY.

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Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

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Dataversity

JANUARY 4, 2023

The Office of Science and Technology Policy (OSTP) of the White House has issued the blueprint of the AI Bill of Rights. This document describes the rights that should be protected when implementing automated systems using AI technology. The paper lists the following five principles that define these rights: 1.

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Dataversity

MARCH 17, 2022

Regardless of how clever the machine or how brilliant the algorithm, the success of intelligence-based solutions is intrinsically tied to the quality of the data that goes in. That’s why, aside from its people, data is the most important thing an organization owns.

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Dataversity

APRIL 25, 2022

Data collection, while crucial to the overall functionality and health of a business, does not automatically lead to success. If data processes are not at peak performance and efficiency, businesses are just collecting massive stores of data for no reason. Effective use […].

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Dataversity

APRIL 22, 2022

In today’s digital world, data is undoubtedly a valuable resource that has the power to transform businesses and industries. As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively.

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Astera

MAY 14, 2024

, “Who created the data?” Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability. Data provenance is what adds depth to this trail. and “Why was it created?

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Dataversity

JUNE 10, 2022

The post AI Governance as Part of the Data Science Lifecycle appeared first on DATAVERSITY. AI is everywhere. It is embedded in virtually every new product, from toasters to shoes and beyond. Gone are the days when we found AI only in future-forward software and tech products. AI is being leveraged far beyond the big tech companies.

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Dataversity

JANUARY 28, 2021

It has been ten years since Pentaho Chief Technology Officer James Dixon coined the term “data lake.” While data warehouse (DWH) systems have had longer existence and recognition, the data industry has embraced the more […]. Click to learn more about author Joan Fabregat-Serra.

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Dataversity

DECEMBER 21, 2021

According to The Identity Theft Research Center, the number of data breaches this year has already surpassed the total number in 2020 by 17%, making it a record-breaking year for data compromises. million people have been affected by some sort of data breach. So far in 2021, nearly 281.5

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Dataversity

MAY 17, 2021

Businesses must address the challenges of cloud migration through the lenses of data integrity, security, and sovereignty. While it may be a pain, it will enable you to make better, long-term business decisions confidently. The post Requirements for Confident Cloud Migration appeared first on DATAVERSITY.

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Data Governance Data Quality Artificial Intelligence Data Architecture 130

Dataversity

JUNE 25, 2021

From hackable medical devices to combating fake news, data provenance is growing in importance. In addition to enabling trust and security, data provenance creates efficiencies for data scientists and opens up new lines of business. Click to learn more about author Brian Platz.

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Data Governance Data Quality Artificial Intelligence Data Security 130

Astera

FEBRUARY 16, 2024

It facilitates the seamless collection, consolidation, and transformation of data from diverse sources and systems into a unified and standardized format. The advantages of this integration extend beyond mere organization; it significantly improves data quality and accuracy.

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