staffmanagement
What is a data analyst?Data analysts work with data to help their organizations make better business decisions. Using techniques from a range of disciplines, including computer programming, mathematics, and statistics, data analysts draw conclusions from data to describe, predict, and improve business performance. They form the core of any analytics team and tend to be generalists versed in the methods of mathematical and statistical analysis. The rising demand for data analystsThe data analyst role is in high demand, as organizations are growing their analytics capabilities at a rapid clip. I...
CIO
As head of transformation, artificial intelligence, and delivery at Guardian Life, John Napoli is ramping up his company’s AI initiatives. And a big part of that is scaling up AI talent. But Napoli, like many CIOs, is facing a tough labor landscape for highly sought skills. By most accounts, enterprise CIOs are rushing to hire for AI-related roles, putting them into fierce competition with one another — and with big tech companies and CTOs everywhere. And given the pool of those with experience in AI is shallow, many CIOs have recognized the need to build AI talent in-house themselves. Now, th...
CIO
Composing a workforce is like playing chess. When it’s done well, every choice is calculated, made mindfully of both its short- and long-run impacts, and of the delicate balance in which it must hold certain key variables — cost, productivity, digital maturity, and the potential to build capabilities that last. In striking this balance, digital and technology leaders have long optimized for cost, but so rapidly is business evolving that many of them are reconsidering that approach. Among such leaders is Barry Perkins. From 2011 to 2023, Perkins led technology in various senior-level roles for ...
CIO
By Bill Surrette Artificial intelligence (AI) and machine learning (ML) solutions are being adopted across every industry today. Quite often, these initiatives involve deploying ML models into operational settings where the model output ends up being a widget on the screens or a number on the reports that are put in front of hundreds, if not thousands, of front-line employees. These could be underwriters, loan officers, fraud investigators, nurses, teachers, claims adjusters, or attorneys. No industry is immune to these transformations. These initiatives are typically driven from the top down....
Info World
Para muchos responsables de TI, la contratación y la retención se han vuelto algo más fáciles últimamente. Niel Nickolaisen, por ejemplo, ha visto ciertas luces en el mercado de talento TI. “Cuando publicamos un puesto de trabajo”, dice el director de Sistemas Empresariales y Seguridad de la Universidad Estatal de Utah, “recibimos más y mejores candidatos que en varios años, y tengo menos rotación con mi personal actual”. Pero para puestos críticos y de alta demanda, el talento sigue siendo escaso. Como dice Max Chan, CIO de Avnet, “todos buscan aptitudes muy similares en las personas que quie...
CIO
AI technologies have advanced at a dizzying pace over the past two years, but workforces at many enterprises remain hesitant to adopt them. A common assumption is that employees are reluctant to use AI-powered tools out of fear that these solutions will out-perform their own work, and in time, make them replaceable. While job displacement is certainly a concern, the reasons for this hesitancy are much more complex. QiFang Sun, CIO at Collectius, a Singapore-based debt management company, frames the hesitancy on a continuum of two dimensions: willingness and skill. While some employees may be w...
CIO
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