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AI is a branch of computer science that focuses on providing computer hardware and software with the ability to execute intelligent tasks with Generative AI (GenAI) learning and improving with each query. One thing is clear—new tools and their capacity to quickly analyze large data sets are proliferating quickly. While some tools (e.g.,
In 2022, we created 97 zettabytes (a zettabyte is 1 billion terabytes) of global big data! And with 49% of executives recognizing a lack of talent in the workforce to analyze data, the need to fill this talent gap is evident. TL;DR – Key Takeaways What does a data analyst actually do? What does a data analyst do?
Unlocking the knowledge hidden in an organization’s unstructured data 2. Empowering unprecedented automation Unlocking the Knowledge in the World’s Unstructured Data According to Gartner , 80–90% of all new enterprise data is unstructured, and it is growing 3X faster than structured data.
Often you’ll see it referenced by the most well-known software in the space: ChatGPT. In HR, Gen AI applications range from automating routine tasks to generating insights from complex data. Data Synthesis Lauren’s team also uses a Gen AI tool that synthesizes engagement and performance review data.
And while businesses are now using ChatGPT across various sectors and continually discovering new use cases, an equal amount of exaggeration and misunderstanding always accompanies the next Big Thing in tech. TL;DR – Key Takeaways ChatGPT is an AI chatbot on steroids. What is ChatGPT, and what’s all the fuss about?
You could ask ChatGPT about every applicant, but we have a better suggestion: using smart AI interviews and assessment techniques to find the ideal hires. TL;DR — Key Takeaways Artificial intelligence engineers may specialize in different areas of AI. Different AI engineering jobs require different skills. Anomaly detection.
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