Managing Marketing is a weekly podcast hosted by TrinityP3. Each one is a conversation with a marketing thought-leader, professional, practitioner or expert on the issues and topics of interest to marketers and business leaders everywhere. In this special series, TrinityP3's Anton Buchner, discusses the rise of Artificial Intelligence and the impact it is having on marketing. Jay Henderson is the Senior Vice President of Product Management at Acoustic (formerly Watson Customer Engagement – purchased from IBM by Centerbridge Partners, and rebranded in 2019 as Acoustic). He talks about how machine learning algorithms should be seen as working together with marketers. Offering options and solutions for marketers to assess and consider, rather than being seen as a distrustful'black box' of solutions running rampant by themselves. Welcome to Managing Marketing, a weekly podcast where we sit down and talk with marketing thought leaders and experts on the issues and topics of interest to marketers and business leaders everywhere. To discuss this I'm sitting down today with Jay Henderson. Jay is the senior vice-president of product management for Acoustic. Thanks, I'm really excited to be here. You've just flown in so you've got over your jetlag? I got here a couple of days ago. We're here today in Sydney to launch the Acoustic brand and the company into the Australian market.

Technology develops differently in Japan. While US tech giants have been grabbing artificial intelligence headlines, a business AI sector has been quietly maturing in Japan, and it is now making inroads into America. Today we sit down again with Miku Hirano, CEO of Cinnamon, and we talk about how exactly this happened. Interestingly, Cinnamon did not start out as an AI company. In fact, when Miku first came on the show, the company had just launched an innovative video-sharing service. Today, we talk about what lead to the pivot to AI and why even a great idea and a great team is no guarantee of success. We also talk about some of the changing attitudes towards startups and women in Japan, the kinds of business practices AI will never change, and Miku give some practical advice for startups going into foreign markets. It's a great discussion, and I think you will really enjoy it. Welcome to Disrupting Japan, straight talk from Japan's most successful entrepreneurs. Today, we're going to sit down and talk about artificial intelligence with Miku Hirano of Cinnamon. Now, Cinnamon is actually a great example of a successful Japanese startup pivot. When we first sat down with Miku four years ago, she had an innovative micro-video sharing company called Tuya and really, you should go back and listen to that episode. I've put a link on the show notes and it was really a good one.

At NeurIPS this week in Vancouver, Canada more than 1,400 pieces of AI research are being examined for their novel approaches or breakthroughs -- but one of these papers is unlike all the rest. Microsoft Research's Lin Xiao was named winner of the Test of Time award this week, a title granted to AI research that's made important and lasting contributions to the AI field over the last 10 years. A specially made committee is convened to look back at papers published at NeurIPS 10 years ago and narrows the list down to 18 papers that have had a lasting influence on machine learning, measured in part by which papers garnered the most citations in the past decade. To date, Xiao's paper has been cited more than 600 times by other researchers. NeurIPS organizers announced Xiao's work as the winner Sunday, and he detailed the results and progress made since then in a conference hall with 1,000 of the conference's 13,000 attendees.

Greg LaBlanc has been teaching at the Haas School of Business and Berkeley Law since 2005. He teaches primarily in the areas of finance and strategy in the MBA and MFE programs and in Executive Education. He has also worked in competitive intelligence and litigation consulting and has advised consulting teams in finance, marketing, and strategy. His research interests lie at the intersection of law, finance, and psychology, in the area of business strategy and risk management. He is the recipient of teaching awards including the Earl F. Cheit Award for Outstanding Teaching, 2009; and the Haas EWMBA Graduate Instructor of the year, 2004-2005.

Sougwen Chung is an internationally renowned multi-disciplinary artist and researcher, who uses hand-drawn and technologically-reproduced marks to address the closeness between person-to-person and person-to-machine communication. She is a former research fellow at the M.I.T. Media Lab and current Artist in Residence at Bell Labs and New Museum of Contemporary Art in New York. For the uninitiated, what is human-machine collaboration? Sougwen Chung: Human-machine collaboration is a perspective of technology not as a tool, but as a collaborator. It stems from an understanding that the relationship between humans and their tools have changed.

My first look at Python was deliberate as I was following advice to learn the language from my mentor. Within a few hours of doing a deep dive into the language i got hooked and felt that the language was made for me. I made a decision that i would make Python my main language and put in all the work to understand it.My main resource when it came to Python Programming was Python's Documentation which i would advice any newbie to use.After months of intensive coding,I really good at Python that my friends and lecturers noticed, i familiarized myself with Python's frameworks;Django and Flask but i felt that this wasn't enough to make me a Python Guru.At this moment,I desperately needed to be good at Python. Oops,I stepped on Machine learning…. It was the beginning of a new semester,as part of our school curriculum we had to have project ideas for our third year.

The capabilities of consumer technology have changed rapidly, opening up opportunities for new advances in simple-to-use AR technology. Putting the power of AR and AI in the hands of everyday consumers can have a huge impact on how we navigate both daily life and unusual events. In part 2 of our interview with plnar CTO Dan Jovanovic, we discuss how he stays inspired to innovate plnar's platform and where he sees technological advances intersecting with his vision for the company's future. Your background suggests you are a lifelong learner and innovator--where do you look for inspiration? I try staying stay abreast of all the technical changes that are happening by reading all the current technical papers and keeping my eyes open to what's new and changing.

To learn more about the use of artificial intelligence at it may be applied to analyzing stocks and markets, I asked the CEO and originator of Ainstein AI about her work in this area. Suzanne Cook is a Wharton School graduate and a seven-time Institutional Investor All Star Analyst. Cook anticipates a new golden era of research - high frequency automated research - thanks to the trifecta of (1) cloud - cheaper and more accessible computing, (2) scale analytics - unifying vastly expanded data sets, and (3) autonomous pattern recognition via artificial intelligence." Here's how our conversation went: John Navin: When artificial intelligence experts talk about "natively intelligent portfolios," what exactly are they referring to? Suzanne Cook: Let's compare natively intelligent portfolios to the current portfolio offerings – not smart (analytics not built in), not in the cloud and not intuitive, as they lack visualizations.

Chomsky has been known to vigorously defend and debate his views and opinions, in philosophy, linguistics, and politics. He has had notable debates with Jean Piaget, Michel Foucault, William F. Buckley, Jr., Christopher Hitchens, George Lakoff, Richard Perle, Hilary Putnam, Willard Quine, and Alan Dershowitz, to name a few. In response to his speaking style being criticized as boring, Chomsky said that "I'm a boring speaker and I like it that way.... I doubt that people are attracted to whatever the persona is.... People are interested in the issues, and they're interested in the issues because they are important."

To learn more about the use of artificial intelligence at it may be applied to analyzing stocks and markets, I asked the CEO and originator of Ainstein AI about her work in this area. Suzanne Cook is a Wharton School graduate and a seven-time Institutional Investor All Star Analyst. Cook anticipates a new golden era of research - high frequency automated research - thanks to the trifecta of (1) cloud - cheaper and more accessible computing, (2) scale analytics - unifying vastly expanded data sets, and (3) autonomous pattern recognition via artificial intelligence." Here's how our conversation went: John Navin: When artificial intelligence experts talk about "natively intelligent portfolios," what exactly are they referring to? Suzanne Cook: Let's compare natively intelligent portfolios to the current portfolio offerings – not smart (analytics not built in), not in the cloud and not intuitive, as they lack visualizations.