Posts Tagged ‘Explainable AI’
Governing with AI
Artificial intelligence (AI) governance is the idea that there should be a legal framework for ensuring that machine learning technologies are well researched and developed with the goal of helping humanity navigate the adoption of AI systems fairly. This interesting information came to us from Fortune in their article, “Investors are pouring billions into artificial intelligence. It’s time for a…
Read MoreWhat to Do With the Data?
Open data and public health overlap in numerous ways to improve health outcomes, enhance research, and empower communities. By sharing and utilizing open data, public health efforts can become more effective, efficient, and transparent. PLOS brought us this interesting topic in their article, “The beauty of (open) data will save public global health.” Public health…
Read MoreApplications of Machine Learning
Machine learning is becoming increasingly important in the field of chemical engineering. Its applications have the potential to revolutionize various aspects of chemical engineering, research, and industrial processes. This interesting topic came to us from Phys.org in their article, “Research team envisions a bright future with active machine learning in chemical engineering.” Machine learning algorithms…
Read MoreUnderstanding the Difference
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 and their article, “How Artificial Intelligence and Machine Learning Will Reshape Enterprise Technology.” These days, AI is more common than one may think, as it is being used worldwide across multiple industries,…
Read MoreGetting a Handle on Machine Learning
Machine learning is a field related to artificial intelligence (AI) that focuses on the development of algorithms and models enabling computers to learn to make predictions and decisions based on data. This is as opposed to the AI having been explicitly, procedurally programmed to perform specific tasks at a macro level. This interesting topic came…
Read MoreTaking Steps to Ensure Data Quality
Data quality is of utmost importance in today’s data-driven world. High-quality data serves as the foundation for making informed decisions, deriving accurate insights, and developing effective strategies. MarTech brought this interesting information to our attention in their article, “6 marketing automation use cases where AI can help with data quality.” Data quality directly impacts the…
Read MoreIntelligence is Paving the Path
Decision intelligence 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 news came to us from Fagen Wasanni Technologies in…
Read MoreAnalytics and Generative AI
Generative artificial intelligence (generative AI) is beginning to materially affect what organizations can do with their data. Tech Target brought this interesting information to us in their article, “Generative AI hype evolving into reality in data, analytics.” Generative models can generate synthetic data that resembles real data, helping to augment a dataset and increase its…
Read MoreConcerns with Cybersecurity Surrounding ChatGPT
The intersection of ChatGPT and cybersecurity is a multifaceted and evolving one. ChatGPT, as a conversational artificial intelligence (AI) chatbot powered by advanced natural language processing (NLP), can play a significant role in both enhancing cybersecurity measures and addressing security concerns. ISACA brought this to our attention in their article, “What Enterprises Need to Know…
Read MoreUnderstanding the Technology
As businesses are expanding and evolving, they are looking to cloud computing and artificial intelligence (AI) for solutions. Cloud computing offers numerous benefits, such as scalability, cost efficiency, and accessibility, but it also comes with specific security risks. It’s essential for organizations to be aware of these risks and take appropriate measures to mitigate them.…
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