Ahead of the curve. Right place at the right time. Whatever you call it, Anjali Nennelli seems to sense when something big is just around the corner. And that’s not just limited to the field of artificial intelligence. The founder and vice president of emerging technologies at Chandler-based Lotus Labs has been involved in projects that looking back might make you wonder whether she knew what the future held.
In this TechFocus Member Spotlight, Calline Sanchez, Vice President of IBM Global TSS Service Planning and Premium Support and Tucson Site Leader, discusses IBM’s focus on cloud storage and augmented intelligence, the expansion of internship and training programs, and how IBM is using technology to implement its COVID-19 response.
Unless you’ve been in a bunker for the last couple of years, you can’t have failed to have noticed booming business interest in artificial intelligence (AI) and machine learning (ML). The unprecedented events of the first quarter of 2020 and the rapid transformation of business, healthcare and human engagement requires an even more urgent understanding of these technologies—and detail matters.
How useful is the data you are collecting? Data collection is the foundation of any data-driven approach; the right data must be collected accurately and in abundance. In some cases, like medical device testing, data collection and preservation is required for compliance with regulatory standards. Data collection and analysis of data is the basis of quality improvement. It is safe to say, data collection is an extremely important element of any manufacturing business.