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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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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CMW Lab Blog

NOVEMBER 20, 2024

Artificial Intelligence (AI) has revolutionized Business Process Automation (BPA), transforming traditional automation into intelligent, adaptive systems. Enhanced Decision Making Real-time data analysis Predictive insights Risk mitigation Pattern recognition 3.

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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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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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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

MAY 8, 2023

Welcome to the Dear Laura blog series! 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?

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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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Business Analysts

APRIL 5, 2023

by Business Analysis, Artificial intelligence (AI) is rapidly transforming the business landscape by enabling organizations to leverage data insights and automate routine tasks. Data analysis and modelling : AI projects require large amounts of data to train machine learning models.

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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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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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Sisense

APRIL 15, 2021

Your company is gathering data (and has likely been doing so for years), and you’ve probably got a system or two to glean insights from that data to make smarter decisions. Artificial intelligence combined with analytics enhances every application! Analytics is the future. It’s the present, too, but you already know that.

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Astera

APRIL 28, 2023

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. This is where intelligent systems come in. Serving as a unified data management solution.

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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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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

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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Data Pine

JANUARY 21, 2020

Reporting in business intelligence is a seamless process since historical data is also provided within an online reporting tool that can process and generate all the business information needed. Another crucial factor to consider is the possibility to utilize real-time data. Enhanced data quality.

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Data Pine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?

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Domo

AUGUST 30, 2023

The challenges with AI are both many and well-identified, and include a lack explainability, poor transparency, and variable data quality to name a few. At Domo, we want to inspire “data curiosity” within our customers—and it’s never been more important.

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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

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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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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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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Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Predictions As artificial intelligence continues to rapidly advance, its potential applications are constantly expanding.

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