From machine learning and transparency to unstructured data and career advice, data scientist Keith McCormick shares his insights on what’s worth paying attention to in the world of AI.
- By Upside Staff
- May 23, 2024
AI applications will continue to flourish in the coming years, so back-end data center ecosystems must prepare to supply the necessary infrastructure.
- By Tom Traugott
- May 16, 2024
The technology-will-steal-your-job narrative has been around for at least 200 years. Some roles do disappear, but most simply evolve, adapt, and merge.
- By Jignesh Patel
- May 6, 2024
When implementing a new technology, you need a deep understanding of the problem you want it to solve.
- By Rob Enderle
- April 29, 2024
Independent consultant Richard Winter explains what a data platform is, the role of generative AI, and how to protect data from public exposure in chatbots.
- By Upside Staff
- April 26, 2024
Dr. Joshua Stevens examines the key tasks in building a modern data management strategy, the mistakes enterprises make, and how generative AI figures into your strategy.
- By Upside Staff
- April 19, 2024
Before jumping into AI, it’s important to have a strategy. You need to know what problem you are trying to solve, where you are now, and where you want to go. The CEO of global data consultancy Carruthers and Jackson explains what’s involved in building this strategy and where AI -- not just generative AI -- is headed.
- By Upside Staff
- April 10, 2024
Neuro-symbolic AI integrates several technologies to let enterprises efficiently solve complex problems and queries demanding reasoning skills despite having limited data. Dr. Jans Aasman, CEO of Franz, Inc., explains the benefits, downsides, and use cases of neuro-symbolic AI as well as how to know it’s time to consider the technology for your enterprise.
- By Upside Staff
- April 8, 2024