#108 The Hallmarks of Successful Data Trainin...

AI leaders talk about innovation, but the wider reality is messy: fast change, uneven guardrails, and threats that span cyber, reputation, and customer harm. Industry-wide, organizations are shifting from one-off compliance to lifecycle governance—from inception to decommissionin ...  Show more

Data and AI teams are drowning in tools, but the big trend is consolidation and speed. AI-driven building is making dashboards, internal apps, and even data workflows feel more like products than reports. Custom interfaces, interactive presentations, and ad hoc apps are becoming ...  Show more

This episode of the podcast (episode 23) will focus on training staff effectively and tips for getting it done in the classroom.  As we all know the days of paraprofessional making copies and filling in for office work are done…and we cannot do the jobs we do in our special educa ...  Show more

As chief data officer of payroll and benefits management company ADP, Jack Berkowitz has three primary responsibilities. One is to oversee the organization’s data overall, ensuring that functions like data governance, security, and analytics, are running well. Another is to build ...  Show more

What does the era of ‘big data’ mean for development technologies in MENA? How can data be used for good, to ensure projects working with vulnerable communities such as informal workers and women are seen and supported? What kind of repercussions does poor data collection have on ...  Show more

The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are st ...