Posts in tag

Data Analytics


AI is at a tipping point. We are seeing the impact of AI across more and more industries and use cases. Organizations with varying levels of ML expertise are solving business-critical problems with AI — from creating compelling customer experiences, to optimizing operations, to automating routine tasks, these organizations learn to innovate faster and ultimately, …

Most commonly, data teams have worked with structured data. Unstructured data, which includes images, documents, and videos, will account for up to 80 percent of data by 2025. However, organizations currently use only a small percentage of this data to derive useful insights.One of main ways to extract value from unstructured data is by applying …

“Machine learning is compute-intensive.” Advances in innovation to capture and process a lot of data have left us suffocating in information. This makes it hard to extricate insights from data at the rate we get it. This is the place where machine learning offers some benefit to a digital business. We need strategies to improve …

Artificial Intelligence and deep learning are thriving parts of the IT industry. This bundle shows you how to master them. Artificial intelligence and deep learning are drawing patterns out of the seeming noise in big data, and it’s changing our world in broad and subtle ways: Finding practical uses for holograms, developing new tools for first responders, …

Once the three-billion-letter-long human genome was sequenced, we rushed into a new “omics” era of biological research. Scientists are now racing to sequence the genomes (all the genes) or proteomes (all the proteins) of various organisms – and in the process are compiling massive amounts of data. For instance, a scientist can use “omics” tools …