Data trend: from spreadsheets to algorithms
The transition from traditional spreadsheets to sophisticated algorithms in data management and analysis represents a significant evolution that has revolutionized how businesses process and leverage information. Algorithms have reshaped the landscape of data-driven decision-making.
When discussing algorithms and AI, we must discuss building AI Fluency in everyday people. EVERYONE needs to understand the impact and ethical considerations of sharing their data. While it’s likely too late with respect to data sharing, it’s important to understand the ethical and functional impacts of how AI is being applied to that data so that people can advocate for themselves.
Rethinking Remote work: again
Virtual work has been going through a shift for over forty years. I know, it’s hard to believe that anything before the 2000s counts. But there were hopes and dreams for flexible hours and work-from-home initiatives as early as the 1970s—they were fringe, but they were there.
Considering what is happening in the world today, it is interesting to note that data is a great enabler of diversity, equity, and inclusion and a general concept of fairness and democratization. Data busts silos and flattens barriers between functions. As this distribution is occurring, there will also be some disruptions.
Who is pacing this race?
The idea of having a more freeform machine co-worker with whom we can ask natural language questions and who can anticipate our needs is just starting. However, this requires a higher level of digital fluency for us to really find a groove with these machine-coworkers and not be overtaken by them. As I came up in my career, we were taught to “automate ourselves out of a job” to do the next thing. Our skills, desire for change, interest in the business, and work dictated the pace. Today, the pace of automation may not be dictated by us. There is a real risk of jobs going away before we have thought through the next set of problems to solve. If we cannot see around corners, we have not considered our upcoming transition.
machine, my coworker
We often consider #digitaltechnologies like #dataplatforms #AI and #copilot features as tools. But if we're rethinking the #futureofwork and the future of careers and companies, it's helpful to think of these things as augmenting our efforts. For a copilot, in particular, it becomes a junior coworker or maybe a more senior coworker as the #AIskills get better.