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.

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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?

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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.

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Data Management Artificial Intelligence Data Architecture 246

Timo Elliott

DECEMBER 10, 2024

One of the sessions I sat in at UKISUG Connect 2024 covered a real-world example of data management using a solution from Bluestonex Consulting , based on the SAP Business Technology Platform (SAP BTP). Introducing Maextro: The Solution Enter Maextro, an SAP-certified data management and governance solution developed by Bluestonex.

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Smart Data Collective

OCTOBER 16, 2024

Discover how striking a balance between AI and human collaboration shapes the future of trusted data management for enhanced security and efficiency.

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The Data Administration Newsletter

JULY 6, 2021

Artificial intelligence (AI) is already in place with applications in areas such as medicine, automobile, education, communication infrastructure, and more. Whereas many individuals and businesses like venturing into AI, some are reluctant because of possible threats. These could relate to racial and gender […].

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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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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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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.

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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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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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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.

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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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Smart Data Collective

AUGUST 28, 2021

Data lakes have become quite popular due to the emerging use of Hadoop, which is an open-source software. If your organization does not favor open-source software, then moving data into data lakes could be challenging.

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Data Warehouse Artificial Intelligence Data Management Planning 352

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.

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Smart Data Collective

AUGUST 30, 2020

The expression “big data” itself was coined in 2005, by technology expert, Roger Magoulas, to describe the variety of massive, complex data sets that could not be managed and processed with traditional data management tools. These enormous expenses are ultimately pushed onto the customer.

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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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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

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.

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Smart Data Collective

AUGUST 18, 2021

For one, it has automated data entry capabilities powered by artificial intelligence (AI) and optical character recognition (OCR). It is chock-full of life cycle automation features — from commencement to data management, accounting and reporting, and end-term supervision. Image source: softwareconnect.com.

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

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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.

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Data Management Digital Data Quality Data Governance 130

Smart Data Collective

OCTOBER 8, 2020

For venture capitalists worldwide, such as 645 Ventures, Ardian, Connetic Ventures, and Georgian Partners, the new status quo means depending on the intelligence provided by machine learning and artificial intelligence for their investment decisions.

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Big Data Artificial Intelligence Data Analytics Data Analytics 343

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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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.

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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.

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The Data Administration Newsletter

FEBRUARY 28, 2023

The project management profession, like many others, faces an emergent threat from artificial intelligence (AI)-based technologies. Project managers are likely to experience a major upheaval during the 2020s. Although 80% is arguably a bit extreme, I expect […]

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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 […].

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Data Management Artificial Intelligence Data Quality 130

Smart Data Collective

SEPTEMBER 14, 2020

Advanced cybersecurity solutions powered by artificial intelligence and machine learning can take care of most of the tasks reducing the workload of your cybersecurity team in the process. The better they understand technology and processes, the more likely they are to identify suspicious activities and behavior.

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Smart Data Collective

FEBRUARY 20, 2022

Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company. Rather, AWS offers a variety of data movement, data storage, data lakes, big data analytics, log analytics, streaming analytics, and machine learning (ML) services to suit any need.

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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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The Data Administration Newsletter

NOVEMBER 15, 2022

Artificial intelligence (AI) has already made a significant impact on the world of marketing, health, technology, and transportation. How […].

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Smart Data Collective

SEPTEMBER 4, 2023

Machine learning and artificial intelligence, for instance, can proactively detect anomalies or suspicious activities even before they pose real threats. By learning the typical patterns and behaviors within your document processing system, these technologies can alert you to potential breaches or vulnerabilities.

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Smart Data Collective

JULY 19, 2019

Many years of experience make it possible for Comarch to help telecom and digital service providers innovate and automate their processes to effectively face new technologies such as artificial intelligence, 5G, the Internet of Things, and more. They are one of the companies that is proving to be a pioneer in big data for telecom.

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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.

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Smart Data Collective

AUGUST 15, 2019

Data makes it possible to target your ideal demographic seamlessly. For example, Chime Bank used artificial intelligence to test 216 versions of its homepage in just three months. After all, the ability to determine your target market early on can save you plenty of money.

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Smart Data Collective

OCTOBER 22, 2024

RAG is a great new breakthrough in AI that is changing the future of contextual data management.

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