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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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. Nonprofits Discover Countless Benefits of Data Analytics. Smart Spending.

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Predictive Analytics Artificial Intelligence Innovation Data Analytics 280

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

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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Big Data Artificial Intelligence Digital Data Management 358

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

Smart Data Collective

OCTOBER 8, 2020

Modern investors use machine learning and AI models to gather and produce signal information that generate insights on worthy startups. The exciting thing is that the sharpest minds in the game have realized the one secret behind gaining an even stronger informational advantage. That’s alternative data.

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Big Data Artificial Intelligence Data Analytics Data Analytics 339

Smart Data Collective

JANUARY 9, 2023

Whether it’s data about customer demographics , product colors that tend to sell better, or which cold email scripts are the most effective, organizations have the power to utilize data to help them inform their decision-making process in a variety of ways. Accurately Informing Marketing Strategies.

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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

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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Monitoring Artificial Intelligence Human Resource Management Documentation 235

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 18, 2021

For one, it has automated data entry capabilities powered by artificial intelligence (AI) and optical character recognition (OCR). Trullion can read and extract critical information from PDF contracts with top-notch accuracy rates in a few minutes only. Once your documents are up on the platform, you’re ready to go.

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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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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. Two common challenges that it poses are security and privacy of data. To ensure the security of confidential details or information these days, some people use either a premium or free VPN browser.

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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. Yes, restricting access to all your data might not be a practical approach but you can at least limit access to sensitive information.

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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. Intelligent Systems Hold the Key Intelligent systems, such as AI-powered solutions, can address challenges associated with data management.

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Data Management Artificial Intelligence Predictive Analytics Data Quality 93

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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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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Big Data Data Analytics Data Analytics Data Management 130

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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Smart Data Collective

NOVEMBER 15, 2022

Artificial intelligence has led to some major changes in the nature of business. We’ve all heard horror stories about social media accounts being hacked and our personal information being stolen. Using stolen information, identity thieves can create fake profiles and use that information to steal money.

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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 4, 2023

A security breach could compromise these data, leading to severe financial and reputational damage. Moreover, compromised data integrity—when the content is tampered with or altered—can lead to erroneous decisions based on inaccurate information. You wouldn’t want to make a business decision on flawed data, would you?

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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

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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Data Pine

MAY 14, 2019

Even now, there are colossal streams of data yet to be explored – a level of insight that could prove groundbreaking if used in the right way. For savvy data scientists, the potential that comes with unlocking this seemingly infinite ocean of information is enormous. Without further ado, here are our top data science books.

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Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

Smart Data Collective

DECEMBER 16, 2019

At a time when the technology environment is powered by aspects such as the Internet of Things, artificial intelligence, machine learning, and Quantum computing, data is king. Everything else is subject to how well a business can get and use data in its daily operations.

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Artificial Intelligence Big Data Data Management Digital 137

Astera

JANUARY 29, 2024

As we approach Data Privacy Day on January 28th, it’s crucial to recognize the significance of enterprise data privacy in our increasingly digital world. Data privacy is a fundamental aspect that businesses, especially those dealing with vast amounts of data, must ensure to protect sensitive information.

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Government Data Warehouse Data Governance Digital 145

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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Timo Elliott

JANUARY 22, 2019

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.

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Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 240

BizAcuity

JUNE 3, 2022

We would like to shed light on a common few data challenges whose solution boils down to better data management and analytics. Inventory and distribution management: This becomes more challenging for omnichannel since it calls for an integrated view across multiple points of sale. Business decisions depend on the demand.

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Retail Data Analytics Data Analytics Supply Chain 147

The BAWorld

MARCH 11, 2024

Leverage data for informed decisions: Analyze large datasets to identify trends and patterns. Application Programming Interfaces (APIs): Understand how APIs facilitate data exchange between different software programs. Learn use cases for APIs in web and mobile development, data integration, and streamlining business processes.

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Skillset Cloud Computing Artificial Intelligence Solution Evaluation 90

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.

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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.

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Supply Chain Documentation Data Management Artificial Intelligence 52

Smart Data Collective

SEPTEMBER 27, 2023

AI is making its mark on the working world with automated tools for everything from content creation to data management. Still, strategies require strong data analysis to be successful. Using AI-backed tools increases the chances your information will be accurate and well-rounded.

Logistics 270

Logistics Data Management Planning Artificial Intelligence 270

Tableau

APRIL 18, 2022

The way to get there is by implementing an emerging data management design called data fabric. . What is a data fabric design? A data fabric is an emerging data management design that allows companies to seamlessly access, integrate, model, analyze, and provision data. Analytics data catalog.

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