Deciphering Big Data

Big data analytics is of paramount importance in today’s data-driven world. It involves the process of collecting, processing, and analyzing large and complex datasets to uncover meaningful insights, patterns, trends, and correlations that would be difficult or impossible to identify through traditional data analysis methods. This interesting information came to us from MarkTechPost in their…

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Developing New Applications for Deep Learning

Emerging technologies are being used for different things every day. A systematic approach to retraining deep learning artificial intelligence (AI) algorithms to deal with different situations has been developed by climate researchers in the United States, and they discovered fascinating new approaches for creating training algorithms. Physics World brought this interesting information to us in…

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Common Denominator

“Artificial intelligence” (AI) and “machine learning” are becoming daily terminology not only for professionals but also consumers. This interesting topic came to us from Built In in their article, “How Artificial Intelligence and Machine Learning Will Reshape Enterprise Technology.” These days, AI is more common than one may think, because it is being used worldwide across multiple industries,…

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Moving Forward with Emerging Tech

The world of business is rapidly changing with new challenges daily presenting themselves for organizations to overcome. Companies face evolving stakeholder needs, uncertain economic conditions, increased regulations, and other unforeseen circumstances, such as a global pandemic. In fact, we are living in one of the most disruptive periods of tech evolution since the Internet first…

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Keeping the Data Clean

Deep learning training is when a deep neural network learns from a predetermined set of data to make predictions. It involves trial and error, and it doesn’t end until the network is able to accurately draw conclusions. Constructing training data sets for deep learning models involves billions of data samples, curated by crawling the Internet. Trust…

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Quality and Integrity

Data quality has never been more important. It is at the heart of the success of enterprise artificial intelligence (AI) and other emerging technologies. It remains the main source of challenges for companies that want to apply machine learning in their applications and operations. Venture Beat brought this interesting information to our attention in their article, “Why data…

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Quality Data Drives Strategy

It has never been more important to make data-driven decisions and develop strategies that are based on data analytics. Beyond decision-making, accurate and relevant data analytics can provide greater insights into target markets, reveal hidden operational efficiencies, and identify new potential product and service offerings. CIO brought this interesting topic to our attention in their…

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AI and Consumers

It is understood that artificial intelligence (AI) models that are built on consumer data must also be built with data privacy in mind. Some users are hesitant to operate automated systems that collect and use their data, so to remain viable, AI models must incorporate privacy protection into their design. This interesting information came to…

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Data Harmony by Access Innovations, Inc. Included in KMWorld’s Trend Setting Products for 2023

Access Innovations, Inc., provider of Data Harmony software solutions, is proud to announce they have been chosen for inclusion on KMWorld’s Trend- Setting Products for 2022. This marks the ninth year Data Harmony has been recognized as a Trend-Setting Product. According to the KMWorld website, “These are the products of forward-thinking vendors that are leading…

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