Finding the Value in AI

It is hard to believe that there are still organizations who have not adopted some form of artificial intelligence (AI) but it is possible, and it is not too late. Inside Big Data brought this topic to our attention in their article, “New to AI Adoption? Don’t Let Data be Your Achilles Heel.” With the…

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Technology Trends to Watch

Artificial intelligence (AI) and machine learning continue to be hot topics in 2021 as emerging technologies increasingly find their way into every part of our lives at home and at work. CRN brought this news to our attention in their article, “Five emerging AI and machine learning trends to watch in 2021.” Revenue generated by…

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Technology at the Bar

Technology has long been involved in the making and curating of the content of our diets. More and more startups are developing technologies geared towards agriculture. Technology helps food manufacturers to produce more efficiently for a growing world population. Improving shelf life and food safety revolves around technology, and greater use of machines and software ensures affordability and consistent quality. This interesting…

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Natural Language Processing for All Languages?

Natural language processing (NLP) is the ability of a computer or machine to understand human language as it is written and its different characteristics. It is typically separated into four stages: understand, classify, retrieve and generate. The Times of India brought this interesting topic to our attention in their article, “Accuracy in AI is a…

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Bias in Technology

Artificial intelligence (AI) continues to realize more benefits in various applications. This interesting topic came to our attention from ABC 7 News out of California in their article, “‘Words do matter’: Artificial intelligence helping review, change word choices used in workplace.” Choosing words carefully is important regardless of your topic and your audience. Context and…

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Old and New Technology

Deep learning isn’t new but there continues to be confusion around the difference between it and machine learning. We have discussed their similarities and individualities several times in the past, but let’s look at it again. This topic came to us from Analytics Insight in their article, “Understanding Deep Learning Vs. Machine Learning.” There are…

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AI and Analytics

The simplest definition of data science is the extraction of actionable insights from raw data. Artificial intelligence (AI) is the intelligence that is possessed by the machines. It is modeled after the natural intelligence that is possessed by animals and humans. AI and data science can be used interchangeably, but there are certain differences between the…

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Looking to the Future with AI

Since crystal balls do not exist, science just might have a substitute. With the partnership of artificial intelligence (AI), machine learning, and utilization forecasting, the next best thing to clairvoyance might exist. Gigabit brought this interesting topic to us in their article, “Optimising Utilisation Forecasting with AI and Machine Learning​.” The significance of AI has not…

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Getting Value Out of AI

Much like the rest of the world, Canadian organizations are still trying to find their way through the hype to get the real value out of artificial intelligence (AI) and machine learning. This interesting subject came to us from IT World Canada in their article, “How to move past the hype to succeed with AI.”…

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Quality Cannot Be Sacrificed

Artificial intelligence (AI) is key to progress on screening, identifying and researching promising vaccine candidates against COVID-19. The usefulness of AI tools, not surprisingly, hinges on the quality of data. University World News brought this topic to our attention in their article, “AI acceleration of vaccine research hinges on data quality.” Data quality is a…

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