Putting Your Data to Work

A data management strategy is a long-term plan that defines the technology, processes, people, and rules required to manage an organization’s information assets. All types of businesses collect large amounts of raw data today. They need a well-thought-out data management and analysis plan, however, if they want to use this information to make informed decisions.…

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Information Science is Critical to Business

Information science plays a crucial and increasingly important role in the modern business world. It helps businesses manage and analyze vast amounts of data. In today’s digital age, data is generated at an unprecedented rate and businesses need to extract valuable insights from this data to make informed decisions. Businesses that can effectively harness and…

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Trusting the Data

Trust is a rare commodity in the digital age and in any industry. Between artificial intelligence (AI)-created content and questionable standards of ethics, decision makers might lose their trust in data. Data is nevertheless essential for making informed decisions and avoiding costly mistakes. This interesting topic came to us from Information Week in their article,…

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Driving Strategy

For an organization to be successful in this new digital reality, it must be data-driven, but without processing and proper display, data is just data. Business intelligence involves using artificial intelligence (AI) and machine learning tools to extract intelligent insights from massive datasets, which can then be used to improve services and investments. Heavy.AI defines business…

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Fighting Fraud with Emerging Tech

Artificial intelligence (AI) as an emerging technology continues to be deployed in many different areas and for many different applications. Brookings brought us this interesting information in their article, “Using AI and machine learning to reduce government fraud.” Both public and private sector organizations are coming to rely on AI to manage financial resources and…

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Intelligent Devices Day-To-Day

Artificial intelligence (AI) is revolutionizing the way the technology is developing. Its impact, however, is not limited to one industry. This interesting topic came to us from The Free Press Journal in their article, “Will Artificial Intelligence be driving force behind the future of healthcare startups?“ From security to healthcare to manufacturing, every aspect of…

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Evolving Cyber Concerns

Using the scientific method is a common-sense approach to cybersecurity. While most publications in the field emphasize that scientific principles are necessary, however, few guides seem helpful for cybersecurity. This interesting news came to us from ISACA in their article, “The Science of Cybersecurity and its Future Challenges.” As cyberthreats evolve and grow at an…

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Sustainability and Technology

Sustainability management software is important for a variety of reasons. It helps organizations effectively manage their sustainability efforts and contribute to a more environmentally and socially responsible world. Computer World brought this to our attention in their article, “How to select sustainability management software.” Many industries and regions have regulations and reporting requirements related to…

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Digital Trustworthiness

Trust is a rare commodity in the digital age and in any industry. Between artificial intelligence (AI)-created content and questionable standards of ethics, it has never been harder to trust data. Data is nevertheless essential for making informed decisions and avoiding costly mistakes. This interesting topic came to us from Information Week in their article,…

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Machine Learning and Retail

Data is indispensable for an e-commerce business, especially if that business wants to take advantage of a machine learning-based customer engagement platform to optimize the customer experience. Analytics Insight brought this topic to us in their article, “How Does Poor Data Impact AI Systems?“ In today’s e-commerce landscape, the customer experience is everything. In order…

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