With each passing moment in time, we move towards an undefined future – one that is full of opportunities. It is up to us to catch up to the speed at which the world and processes within it are evolving. One way this has been done is by leveraging intelligent technologies as tools – recognizing that they are not only driving the future but can even allow us a glimpse of what this future may look like.
To some, predictive machine learning is just another category of software, but when you look beyond the name or scratch below the surface, it’s a superpower. With predictive machine learning, everyone can perform wonders like a data scientist even with minimal “data science knowledge.” The insights generated by predictive ML have been used in innovative ways to face some of society’s biggest challenges, such as protecting land from deforestation and helping prevent suicides with 99% accuracy. However, predictive power holds the most promise for businesses in high demand for prescriptive insights that address key business and operational questions, drive ROI, and improve margins.
Embedding predictive output within software is what makes it so unique – the integrated analytics tool automates the data analysis process with machine learning. Predictive machine learning has filled the gap between the business world’s high demand for predictive insights and the lack of available, trained data scientists.
Automated data processes empower business users to perform data analysis and access its benefits, triggering the birth of what we now call “citizen data scientists.”
Game-changing predictive machine learning radio series – Episode 1
This emergence of the “citizen data scientist” was the topic of the first episode, the Making of a Citizen Data Scientist: Challenges and Hacks, in the new Game-Changing Predictive Machine Learning radio series.
The conversation was lively from beginning to end, with host Bonnie D. Graham bringing life and laughter to the conversation among her guests:
- Parimala Narasimha, director for advanced analytics at Cox Communications
- Richard Mooney, lead product manager for the predictive analytics product portfolio at SAP
- Dr. Marc Teerlink, global vice president, SAP Leonardo, AI, and new markets at SAP
- Erik Marcade head of the SAP Leonardo advanced analytics development team and analytics end-to-end unit at SAP
If you missed the action-packed and informative chat, you can listen to the replay. Here are some highlights:
- Richard explained that “we don’t need to be able to build an engine in order to drive a car” and neither do we need to have a data science degree to be able to reap the business benefits of ML insights.
- Marc described machine learning as not simply democratizing the analytic process, but rather “democratizing intelligence.”
- Parimala emphasized automating mundane daily tasks to focus on the bigger ones and suggested, “if you’re not automating any of what you’re doing, you’re not doing something right.”
- This statement aligns with Erik’s concluding prediction that in the coming years, “we will see a change of job descriptions as everything that can [be automated] should be automated.”
Still more to come…
Throughout the year, host Bonnie D. Graham addresses various buzzworthy topics in raw and thought-provoking dialogue with panels of prestigious experts, giving us answers to questions we never even thought to ask. In the new Game-Changing Predictive Machine Learning radio series, Bonnie will bring that focus to predictive.
It is high time to rethink predictive machine learning’s disruptive and transformative potential – both inside and outside of the office. We hope you’ll join us for all our upcoming episodes.
Join us live for the next episode on July 18th at 2 p.m. EDT. Remember, if you can’t listen in real time, all episodes will be available for replay on the series webpage after they air.
Learn more about predictive topics like this one by reading the other blogs in our Machine Learning Thursdays blog series.