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

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 […]

Data Management 192

Data Management Digital Visualization Artificial Intelligence 192

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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Artificial Intelligence Big Data Data Management Business Intelligence 98

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.

Artificial Intelligence 255

Artificial Intelligence Business Process Management Data Management 255

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

FEBRUARY 20, 2022

Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company. In this article we will list 10 things AWS can do for your SaaS company. This article finally gets to the core question we started with: what can AWS do for your SaaS business? Data storage databases.

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Smart Data Collective

SEPTEMBER 14, 2020

In this article, you will learn about six ways to prevent data breaches by using technology and training. 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. Educate Your Employees.

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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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Data Management Data Governance Government Master Data Management 130

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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Data Management Innovation Data Quality Data Governance 147

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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Master Data Management Data Management Data Quality Data Governance 162

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

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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Artificial Intelligence Data Management 173

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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Artificial Intelligence Project Management Data Governance Big Data 59

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

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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Artificial Intelligence Finance Master Data Management Big Data 52

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

SEPTEMBER 26, 2019

Relevant, complete, accurate, and meaningful data can help a business gain a competitive edge over its competitors which is the first step towards scaling operations and becoming a market leader. As such, any company looking to stay relevant both now and, in the future, should have data management initiatives right.

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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.

Artificial Intelligence 98

Artificial Intelligence Data Security Data Management Data Architecture 98

Smart Data Collective

OCTOBER 30, 2019

It is able to handle massive data sets, which can aid marketers in a number of ways. They can use conversion data sets to: Automate the delivery of their advertisements based on the time of day that customers are most likely to convert. For many years, marketers had to work with small data sets.

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Big Data Artificial Intelligence Digital Data Management 185

The Data Administration Newsletter

DECEMBER 20, 2022

The data world continues to change rapidly and you may want to consider these predictions when planning for the new year. The rise of generative AI startups: Generative artificial intelligence exploded in 2022. In this next year, we will see text […].

Artificial Intelligence 109

Artificial Intelligence Planning Data Architecture Big Data 109

The BAWorld

MARCH 11, 2024

This article delves into the critical technical domain BAs should master, transcending mere programming proficiency to cultivate a comprehensive and versatile skillset. SQL: Gain proficiency in SQL , a language for managing and manipulating relational databases. Why are Technical Skills Important?

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Skillset Cloud Computing Artificial Intelligence Solution Evaluation 90

InfoQ Articles

JANUARY 13, 2023

This article is a summary of the 2022 software trends podcast. 2022 was another year of significant technological innovations and trends in the software industry and communities. The InfoQ podcast co-hosts met last month to discuss the major trends from 2022, and what to watch in 2023.

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Innovation Cloud Computing Artificial Intelligence Data Management 94

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.

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Artificial Intelligence Data Governance Government Data Management 52

The Data Administration Newsletter

JUNE 6, 2023

In the last few months, we have seen the wave of Artificial Intelligence break on the shores of wide-scale business adoption and mainstream media coverage of Large Language Models, most famously ChatGPT.

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Artificial Intelligence Government Data Governance Data Management 75

Actian

JULY 11, 2019

Some companies are relying on operational technology to support, for example, marketing, sales and digital delivery of services, but that is the topic of a future article.). Why operational technology data management may never be standardized. The biggest challenge to standardizing OT data management is managing change.

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

Whizlabs

APRIL 19, 2021

David is also a contributor to IEEE Cloud Computing and has published countless number of articles and books over the years. Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Argon Digital

AUGUST 11, 2022

What are some of the more advanced features found in todays’ enterprise content management system? Processing/validation – Using artificial intelligence to identify document type, extract data from the document, and validate document fields, as well as queuing up exceptions for human review.

Documentation 105

Documentation Artificial Intelligence Data Warehouse Banking 105

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.

Artificial Intelligence 52

Artificial Intelligence Data Governance Government Data Quality 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

The Data Administration Newsletter

JULY 4, 2023

In today’s rapidly changing and advancing world of artificial intelligence (AI), generative AI, and large language models (LLMs), data has become the lifeblood of innovation. Data fuels algorithms, powers decision-making processes, and shapes the future impact of technology.

Data Governance 64

Data Governance Government Artificial Intelligence Innovation 64

Dataversity

AUGUST 2, 2024

In today’s digital age, vast amounts of business data are gathered from different sources. Even when organizations strategically invest in analytics tools, they still face challenges in the form of data silos, unstructured data management, and failure of business-driven insights from tools.

Digital 130

Digital Data Management Artificial Intelligence Data Architecture 130

The Data Administration Newsletter

MAY 15, 2024

Artificial intelligence (AI) is rapidly reshaping our world, influencing everything from the way we work to the way we live. At the heart of this transformation lies data, the fuel that powers AI systems. How we manage this data can determine whether […]

Artificial Intelligence 52

Artificial Intelligence Data Governance Cybersecurity Government 52

The Data Administration Newsletter

FEBRUARY 21, 2024

Explainable AI refers to ways of ensuring that the results and outputs of artificial intelligence (AI) can be understood by humans. It contrasts with the concept of the “black box” AI, which produces answers with no explanation or understanding of how it arrived at them.

Artificial Intelligence 52

Artificial Intelligence Data Modelling Data Governance Data Visualization 52

GAVS Technology

JUNE 24, 2024

Medical Device Industry Trends Artificial Intelligence (AI) is significantly transforming the medical device industry by enhancing data-driven analytics and improving the doctor-patient experience. To learn more on how we can help transform your healthcare organization, please visit [link].

Healthcare 52

Healthcare Cybersecurity Artificial Intelligence Monitoring 52

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

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

MARCH 20, 2024

Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene.

Data Management 105

Data Management Data Governance Artificial Intelligence Big Data 105