A lot of content across Acceleration Economy has covered the practical use of artificial intelligence, surfacing actional insights, and real-world impacts. But uncertainty still exists for many people.
How can we cut through this doubt and bring about a democratized AI/ML future? True success with artificial intelligence can be found through co-innovation and education.
Peter Lee, CEO of RapidMiner, joins me on this “Back @ IT” episode to share his perspectives on AI, ML, collaboration with partners and universities, co-creation initiatives with customers, and the initial premise of why RapidMiner was started.
Highlights
00:42: The founding of RapidMiner didn’t start in a traditional sense. Peter shares how Dr. Ingo Mierswa wrote a seminal paper on applications of machine learning in real-world use cases. He was then challenged to help a major European telecom solve issues predicting customer churn.
05:02: Shockingly, less than 10% of AI/ML models that are created and could have a real impact aren’t deployed into production.
07:01: RapidMinder recently partnered with Braincube to create a complimentary joint value proposition. This exemplifies the ability to collect, manage, and find value from your IoT platform and data.
It’s important that people build trust and see that AI adoption is driving measurable, tangible outcomes…as well as working towards this greater goal of immense change.
Peter Lee | CEO, RapidMiner
13:04: As Peter has learned through experience, it is imperative to take time to understand industries, sectors, and personas. This helps map a customer’s business problem, drive revenue, cut cost, manage risk, and deliver actional insights into the wealth of data.
16:29: Citizen data scientists are bridging the gap between the data scientist side and the business side. In turn, this brings harmony across the multiple personas of finance, technology, operations, and line of business to solve vexing problems.
20:21: Continuous innovation in the candle didn’t result in the electric light. The right questions need to be asked to bring about immense change. Further, partnerships and co-creation with customers improves digital literacy and creates room for game-changing competitive advantages.
25:57: Peter shares his final thoughts on big data and AI by stating that the more data, the better. Harnessing data and using advanced analytics will drive superior outcomes.
Dive deeper into my overview of RapidMiner on the Enterprise AI Impact channel. I cover how they are delivering lightning-fast data science, and uncover more about who they are, what they do, its most unique application, and who they have impacted.
RapidMiner brings artificial intelligence to the enterprise through an open and extensible data science platform. All of which is centered around its core mission: Reinvent enterprise AI so that anyone has the power to positively shape the future.
