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Dmitri Popov, global service management lead for Mann + Hummel Group, joins us today to discuss scaling RPA. Dmitri himself admits that such a process is painful, in part because of the few successful enterprise examples for which to model after. Dmitri points to IBM as a company who has done it well. Next, Dmitri discusses how to leverage shared services in the most efficient way, exemplifying R&D and certain purchasing aspects. One of the most difficult components of implementing RPA across the workflow is acceptance and adherence. Dmitri doesn't mince words when it comes to what it takes in a person—not just an enterprise—to accept change, no matter how positive that change may ultimately be.

Rida Moustafa is an experienced data scientist with a demonstrated history of working in the retail industry. Rida covers a lot of ground in this concise, informative conversation. He shares his story with us, beginning in 1995 with the big data mining movement. Walking us through the way data mining has evolved, Rida hits on neural networks, deep learning, and expert systems. Today, however, AI technology has evolved enough to render some of these old processes moot. Of course, new obstacles present themselves, such as AI's black box and its influence over regulatory decisions and prediction models. The last half of the conversation is reserved for Rida's involvement with Walmart and the work he is doing with AI to automate processes and generally improve Walmart's workflow and profits.

Robert Welborn discusses common myths surrounding autonomous vehicles. He starts with three TV shows that have skewed perception around AVs. Next, he sets expectations around the maturity model of AVs by describing the stages as childhood, adolescence, and adulthood. Today's data presents itself in three-dimensional forms, and Robert is realistic about the struggles and opportunities within this new model of data. It is the engineers behind AVs who are tasked with making things work, and Robert spends some time pulling back the curtain on their trials and tribulations. Finally, Robert recognizes that the elasticity and compatibility of all of the elements at play in autonomous vehicles have a tendency to be overestimated.

Deepak Subbarao joins us again, this time, to discuss unstructured data. The recent explosion in technology inputs has raised the bar for customer expectations. They want more, and they want it now. Requests are coming via phone calls, social media, emails, etc. The product of this feedback is unstructured data. Deepak goes in depth on three actionable steps to take in order to leverage the power of unstructured data: know your data, know the sources of your data, and prepare your data. Next, Deepak discusses the importance of defining outcomes for your data, as opposed to cramming data into an algorithm and receiving an output that has no use case. As Deepak reiterates throughout the conversation, context is key.

Roland Haefs, with Henkel, discusses enterprise evolution and the shift from having purely transactional relationships to becoming a true business solutions provider. It takes strong leadership and an entrepreneurial spirit to pull off such a transformation, which Roland details. In order to demonstrate his point, Roland lays out Henkel's approach to the shared services process of master data management. Next, the conversation turns to RPA and AI more specifically, including its role in shared services and how to make sure it is being deployed effectively. Further, Roland discusses Henkel's four business priorities: fund growth, drive growth, excel at digitalization, and increase agility.

David Orban, founder of Network Society Ventures, discusses the rapid acceleration of technology and its consequences. How we live, work, organize, and grow a business has changed. Decentralization is now a common path forward. David gives examples, including solar energy, digital manufacturing, personalized health, and peer-to-peer learning. Next, David discusses the volatility of Bitcoin and why that's to be expected: we don't yet fully understand its potential. David exemplifies the past while offering solutions for the future. The rest of the conversation focuses on blockchain more generally, including future applications and implications. David's technologically futuristic views don't seem all that outlandish after this conversation. In fact, his optimism is contagious.

Molecule is an open market based platform that incentivizes the development and co-creation of pharmaceutical IP. Molecule's CEO, Devon Krantz, discusses the dire state of pharmacological R&D and its cost—literally and figuratively—to patients. Molecule, on the other hand, encourages a patient-centric approach to pharma. How? Devon puts it this way: "We are focusing more on bio-techs, on smaller research labs, on academia. [What we] want to incentivize is for researchers, scientists, and academics to take their IP and put it onto the Blockchain, into an open market, which then enables other people to buy into the market and freely grow that market. We're democratizing access to cures." Devon elaborates on the innovative and complex 'why & how' during the rest of the conversation.

Hendrik Boehmer is the People Experience & Operations Lead for Unilever. While such a title is a few syllables longer than its counterpart, Hendrik explains that Unilever's HR transformation involved a complete reimagination of the role. First, hand-picked roles that were once outsourced were brought back in house in order to achieve HR's new goal: more simple, more impact, and more human. What this entails is increasing automation and the role of human talent simultaneously. While it sounds contradictive, Hendrik details the logistics and execution in full. As with any digital transformation, reskilling and security must be addressed. Unilever has a system in place for both, which Hendrik describes next. Finally, Hendrik mulls over this universal truth and what it's meant for his career and enterprise at large: the only constant is change.

In this episode, Kai-Eberhard Lueg, Global Business Solutions expert with Siemens, discusses the future of automation. Specifically, commerce is experiencing a new type of customer expectation that involves an increase in personalization and speed. While these two concepts seem counterintuitive, digitalization and shared services make it possible. Digitization is only as effective as the foundation it was built on, however, so Mr. Lueg details the best way to move forward on firm ground. Finally, Mr. Lueg emphasizes the importance of human talent. By building a culture of curiosity and innovation, both employees and enterprise benefit from the expectation and execution of upskilling and reskilling with an emphasis on technical skills.

Dr. Timothy Renick with Georgia State joins us to talk about his implementation of predictive analytics within the university, including an AI enhanced chatbot. Since the deployment of these technologies, Georgia State is graduating 3,000 more students a year than it did seven years ago. Dr. Renick explains the university's approach to finding solutions for problems over innovation for innovation's sake. With a change in demographics, including a larger low-income population, the university felt it necessary to increase access to support and identify issues before students found themselves in dire straits. Dr. Renick discusses the process of finding a vendor to help them identify and build the perfect solution. It's working, as shown by the examples he discusses during the rest of the conversation.