Dataversity

AUGUST 9, 2023

Business and […] The post Why AI Forces Data Management to Up Its Game appeared first on DATAVERSITY. By the end of this decade, new enterprise storage capacity shipments are forecast to be 15 ZB per year, with the active installed base exceeding 45 ZB. Where Is This Growth Coming From?

Data Management 246

Data Management Artificial Intelligence Data Architecture 246

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. The sheer volume of data makes extracting insights and identifying trends difficult, resulting in missed opportunities and lost revenue.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Dataversity

SEPTEMBER 13, 2022

Developments in artificial intelligence (AI) technologies have opened up major opportunities and improvements for data processing and analytics. Unfazed and even spurred by the COVID-19 pandemic, complex AI systems saw explosive demand to enable advances in data management, health care, knowledge graphs, and data science.

Artificial Intelligence 246

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Dataversity

JANUARY 25, 2024

The mainstreaming of predictive analytics and generative AI has brought Data Management into focus. Artificial Intelligence both runs on and produces a vast amount of data that must be effectively managed, governed, and analyzed.

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Artificial Intelligence Predictive Analytics Government Data Management 173

Smart Data Collective

NOVEMBER 5, 2023

Data management technology plays a very important role in photo editing and manipulation. In June, The New York Times published a fascinating article on some of the many ways that data management technology can help create amazing photos and visuals. One of […]

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Data Management Digital Visualization Artificial Intelligence 191

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

FEBRUARY 21, 2022

The post Forthcoming AI Regulation Makes Data Management Imperative appeared first on DATAVERSITY. Not only has there been documentation of racial bias in facial recognition systems, but algorithmic decision-making has also played a role in denying minorities home loans, prioritizing men during hiring, […].

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Data Management Documentation Artificial Intelligence 246

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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Smart Data Collective

JUNE 18, 2021

Although machine learning is still in its infancy, it is developing at a breathtaking pace to improve the reach of artificial intelligence. Since this type of advanced technology is at the cutting edge of industrial innovation, many large companies invest heavily in artificial intelligence and machine learning research.

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Artificial Intelligence Master Data Management Data Management Innovation 339

Dataversity

JANUARY 13, 2022

To get the most out of data, it must be consolidated from many systems to unlock valuable business insights and feed applications such as machine learning […]. The post The Future of Data Management: Five Predictions for 2022 appeared first on DATAVERSITY.

Data Management 246

Data Management Artificial Intelligence Data Architecture 246

Dataversity

SEPTEMBER 4, 2023

The list of use cases powered by artificial intelligence (AI) and machine learning (ML) technologies is growing exponentially across nearly every business sector.

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Artificial Intelligence Business Process Management Data Management 255

Dataversity

OCTOBER 23, 2023

This problem will become more complex as organizations adopt new resource-intensive technologies like AI and generate even more data. By 2025, the IDC expects worldwide data to reach 175 zettabytes, more […] The post Why Master Data Management (MDM) and AI Go Hand in Hand appeared first on DATAVERSITY.

Master Data Management 162

Master Data Management Data Management Data Quality Data Governance 162

Smart Data Collective

MAY 13, 2022

Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Benefits of AI-driven business analytics.

Artificial Intelligence 341

Artificial Intelligence Predictive Analytics Business Intelligence Business Intelligence 341

Smart Data Collective

OCTOBER 20, 2021

In this new reality, leveraging processes like ETL (Extract, Transform, Load) or API (Application Programming Interface) alone to handle the data deluge is not enough. As per the TDWI survey, more than a third (nearly 37%) of people has shown dissatisfaction with their ability to access and integrate complex data streams.

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Artificial Intelligence Big Data Data Modelling Data Management 317

Dataversity

APRIL 22, 2022

As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively. This is where the following 16 internal Data Management best practices come […]. The post 16 Internal Data Management Best Practices appeared first on DATAVERSITY.

Data Management 130

Data Management Digital Data Quality Data Governance 130

Dataversity

NOVEMBER 20, 2023

Most enterprises suffer from spotty deployment and management of artificial intelligence (AI) initiatives. As different parts of the organization experiment with AI in silos, they waste both resources and the opportunity to learn from the experience of others.

Artificial Intelligence 173

Artificial Intelligence Data Management 173

BizAcuity

APRIL 14, 2022

Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Data Management. Unscalable data architecture.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Dataversity

JUNE 5, 2024

Artificial intelligence and data analytics are at the forefront of the digital age, bringing with them a rise in data processing and a surge in energy consumption. Data centers worldwide are modifying their infrastructure to meet the demands of the surge.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Digital 130

Dataversity

MARCH 16, 2021

When it comes to the business environment, data is crucial for effective decision-making, which makes it a highly valuable resource. The post Top Use Cases for Data Management Automation appeared first on DATAVERSITY. But it needs to be well […].

Data Management 130

Data Management Data Quality Artificial Intelligence 130

Astera

APRIL 9, 2023

Navigating the complex world of supply chain data can be overwhelming, especially when grappling with vast amounts of unstructured and semi-structured information. Conventional data extraction methods often struggle to keep up with the ever-growing volume of data.

Supply Chain 52

Supply Chain Documentation Data Management Artificial Intelligence 52

Astera

APRIL 3, 2023

Navigating the complex world of supply chain data can be overwhelming, especially when grappling with vast amounts of unstructured and semi-structured information. Conventional data extraction methods often struggle to keep up with the ever-growing volume of data.

Supply Chain 52

Supply Chain Documentation Data Management Artificial Intelligence 52

The Data Administration Newsletter

NOVEMBER 6, 2024

The rapid adoption of artificial intelligence (AI) in data archiving for IT operations has transformed how organizations manage vast amounts of information. However, AI presents many ethical considerations that must be addressed.

Artificial Intelligence 52

Artificial Intelligence Data Governance Government Data Management 52

Smart Data Collective

DECEMBER 13, 2022

This is all about customer data management, which we’ll go into in depth later. For the time being, all you need to know is that data segregated in separate systems and platforms is data squandered. Mining various data sources for useful insights is both challenging and inefficient.

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Visualization Data Analytics Data Analytics Artificial Intelligence 343

Smart Data Collective

MAY 31, 2022

Machine learning and artificial intelligence (AI) have certainly come a long way in recent times. Towards Data Science published an article on some of the biggest developments in machine learning over the past century. It is now prudent to examine some of its numerous real-world applications.

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Artificial Intelligence Documentation Innovation Big Data 282

Smart Data Collective

JANUARY 19, 2021

Artificial intelligence is helping solve a number of problems that modern businesses encounter. We typically think about the merits of AI in the context of marketing, manufacturing, financial reporting and customer service management. 4 Ways To Reshape Employee Behavior by Monitoring them with Artificial Intelligence Algorithms.

Monitoring 221

Monitoring Artificial Intelligence Human Resource Management Documentation 221

Smart Data Collective

NOVEMBER 13, 2020

Artificial intelligence and data analytics are two of the fasting-growing forms of technology for saving money in the world of business. Big data and predictive analytics can be very useful for these nonprofits as well. There are certainly downsides to that approach, with job security being high on the list.

Predictive Analytics 273

Predictive Analytics Artificial Intelligence Innovation Data Analytics 273

Astera

OCTOBER 29, 2024

Pharmaceutical industry leaders are adopting new artificial intelligence (AI) technologies and increasing process efficiency. AI-powered features help them manage massive volumes of pharmaceutical data with great accuracy and speed. One useful AI application is automating and streamlining data management and processing.

Pharmaceutical 52

Pharmaceutical Artificial Intelligence Documentation Data Management 52

The Data Administration Newsletter

JULY 3, 2024

Terms like artificial intelligence (AI) and augmented intelligence are often used interchangeably. However, they represent fundamentally different approaches to utilizing technology, especially when it comes to data governance.

Artificial Intelligence 52

Artificial Intelligence Data Governance Government Data Management 52

Smart Data Collective

AUGUST 15, 2022

Businesses are evolving and searching for newer ways to accomplish their goals, hence the need for artificial intelligence (AI). AI involves building smart machines to carry out tasks that typically need human intelligence, and AI simulates human intelligence using computer systems.

Cybersecurity 258

Cybersecurity Artificial Intelligence Customer Experience Customer Experience 258

Astera

OCTOBER 11, 2024

Pharmaceutical industry leaders are adopting new artificial intelligence (AI) technologies and increasing process efficiency. AI-powered features help them manage massive volumes of pharmaceutical data with great accuracy and speed. One useful AI application is automating and streamlining data management and processing.

Pharmaceutical 52

Pharmaceutical Artificial Intelligence Documentation Data Management 52

Domo

AUGUST 23, 2024

Retailers are increasingly “minding the store” with artificial intelligence. In addition, store managers defaulted to basing decisions on inaccurate prior-year data and numbers. As always, late August has arrived far more quickly than anyone could anticipate.

Artificial Intelligence 52

Artificial Intelligence Retail Innovation Data Management 52

Smart Data Collective

JUNE 24, 2021

There is no getting around the growing concerns of data privacy. But artificial intelligence (AI) has helped solve them. However, in doing so, they also put the privacy and confidentiality of user’s data at the risk of unauthorized access. Apart from maximizing productivity, it increased the precision of performing tasks.

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The Data Administration Newsletter

SEPTEMBER 4, 2024

However, while solutions like ChatGPT continue growing in popularity among everyday users, the most significant potential of artificial intelligence lies in […] And considering the wide range of use cases for AI tools, that’s not much of a surprise.

Artificial Intelligence 52

Artificial Intelligence Data Governance Government Data Management 52

Astera

MAY 5, 2023

McKinsey reports only 7% of banks are completely utilizing crucial analytics, which shows that a vast majority of financial institutions are not maximizing the potential of their data. AI can also automate data encryption, ensuring that sensitive data is protected both at rest and in transit.

Innovation 40

Innovation Data Management Artificial Intelligence Big Data 40

Smart Data Collective

JANUARY 9, 2023

Before understanding how this particular strategy can help organizations maximize their data’s value, it’s important to have a clear understanding of AI and machine learning.

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Artificial Intelligence Innovation Business Intelligence Business Intelligence 317

The Data Administration Newsletter

JUNE 19, 2024

The use of Artificial Intelligence (AI) in healthcare provides promises, risks, and unintended consequences. This column addresses the evolving AI issues in connection with the following topics: As used in this column, “AI” covers both generative and non-generative AI, with a focus on machine learning as part of non-generative AI.

Healthcare 52

Healthcare Artificial Intelligence Data Management 52

The Data Administration Newsletter

MAY 18, 2021

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security.

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Artificial Intelligence Data Security Data Management Data Architecture 98