The AI in Business Podcast (Daniel Faggella)

What's next for AI in logistics? Listen as we break down prescient trends with Tim Gagnon, VP of Analytics & Data Science at CH Robinson, a $16+ Billion logistics & supply chain company based in the USA. Want to implement AI but you're not sure where to start? Discover 3 Key Insights for Non-Technical Professionals to Deploy AI: emerj.com/beg1

Today is episode four of five in our series, where we’re focusing on enterprise AI strategy. Our guest today is Adam Bonnifield. Adam is the CEO of Konux, an AI firm based in Germany. One of the key takeaways Adam emphasizes in this episode is that strategy is as much about what you’re not going to do as what you are going to do. He frames the processing of brainstorming about strategy and identifying opportunities in a way that focuses on the things that truly matter. Another critical point Adam makes is the benefit of addressing your enterprise’s existing problems rather than a novel application when it comes to strategy. Adam describes what this looked like within Airbus with lessons that are transferable to any other enterprise. Finally, we discuss the Trinity Model for AI ROI, a tool within Emerj Plus. To learn more about Emerj’s frameworks for AI readiness, ROI and strategy, visit emerj.com/p1.

Today’s guest is Supriya Gupta, General Manager and Vice President of Product at Credit Karma. Credit Karma is a multinational personal finance brand under Intuit that makes products free to consumers and helps them find lenders. Supriya returns to the platform today to dive deep into the evolving landscape of financial services, highlighting the challenges and opportunities facing the industry today. We explore Credit Karma’s journey from its inception as a “born digital” company to its innovative use of generative AI, such as the development of Intuit Assist - an AI-driven tool that acts as a financial co-pilot, offering real-time, personalized financial advice and insights. Supriya offers an insider’s look at how these systems go beyond traditional customer service roles to create proactive and context-specific interactions. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

Today’s guests are Melissa Easy, Vice President and General Manager of Clinical Technologies at IQVIA, and Tim Riely, Vice President of Clinical Data Analytics at IQVIA. They return to the program to talk with Emerj Senior Editor Matthew DeMello about the current state of AI in life sciences and clinical trials. Throughout the episode, Melissa and Tim underscore both the ongoing and impending impact of large language models on report writing and other clinical trials-oriented use cases. 

Today’s guest is Caroline Gorski, CEO of R² Factory – a data and tech-focused subsidiary of Rolls Royce. In conversation with Emerj CEO Daniel Faggella, they discuss being a new kind of company underneath a century-old legacy luxury name brand in heavy industry and the benefits of creating a separate experimentation-first culture within a big enterprise. Is it possible to develop subcultures that can do that kind of nimble innovation? Where do people feel brave enough to innovate and experiment in ways that foster legacy business? All are easier said than done – but Caroline shares hands-on experience testing strategies that work in person throughout the podcast today. To access Emerj’s non-technical guide for getting started with AI deployment, check out emerj.com/beg1.

Today’s guest is Mark Surman, President of the Mozilla Foundation. In conversation with Emerj CEO and Head of Research Daniel Faggella from 2023, Mark speaks at length about the shifting paradigms of privacy, security, and data governance in the age of generative AI. Throughout the episode, Mark explains how privacy concerns have evolved from simple data protections in the early days of the internet to complex issues involving data provenance, consumer trust, and ethical AI governance. As businesses increasingly rely on AI-powered services, leaders must address not only compliance but also new expectations around customer respect and transparency. Their conversation highlights the importance of building privacy and governance expertise into leadership teams, encouraging proactive engagement with evolving regulations and emerging technologies. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today's discussion is with Brett Beranek of Nuance Communications, arguably the best-known NLP company in the world. Nuance has been selling AI to enterprises for decades, earning billions of revenue in this mature space. In this episode, Brett shares valuable insights and predictions about how technology priorities might and should transform in the post-Covid world. Learn more with Emerj's Pandemic Response - Business Continuity Playbook: emerj.com/p1

Today’s guest is Bikalpa Neupane, Head of Artificial Intelligence and Natural Language Processing at Takeda. He joins us on today’s program to discuss how siloed data and trust in data science processes are among the biggest challenges facing life sciences leaders and the promise of new use cases and generative AI tools in confronting those challenges. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Ciprian Porutiu, Vice President of Operations and Strategy at Marsh McLennan. Prior to Marsh McLennan, Ciprian spent much of his career in IT leadership for various fintech firms. In conversation with Emerj CEO and Head of Research Daniel Faggella, Ciprian explains the fundamentals of a VUCA – short for volatile, uncertain, complex, and ambiguous – business landscape to a financial services executive audience. Throughout the episode, Ciprian offers insights into delivering the necessary business agility and addressing the acute challenges of scaling systems based on advanced technologies. Today’s episode is sponsored by Uniphore. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

In this episode of the ‘AI in Business’ podcast, Scott Bradley, VP of AI and Innovation at Novartis, returns to discuss how AI is reshaping decision-making at the earliest stages of drug development—and what that means for the future of pharma investment strategy. Host Matthew DeMello and Scott explore how the pharmaceutical industry is transitioning from intuition-led portfolio choices to data-driven precision. They discuss the growing influence of AI in identifying viable drug candidates, designing complex proteins, and even solving long-standing manufacturing challenges. Scott also highlights the impact of AI on shifting portfolio dynamics—enabling pharma companies to target smaller, more specific patient populations and scale up development across a wider range of therapies. With AI now central to everything from molecule discovery to commercialization, the conversation offers a window into how life sciences organizations must adapt both structurally and strategically to stay competitive. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by Intelligencia AI. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

This week’s guest is Katia Walsh, Ph.D. and Chief Strategy Officer for Levi Strauss & Co. Levi’s is one of the best-known apparel brands in the world at $5.5B in annual revenue. Katia holds an important position in that company after having several roles in financial services, telecommunications, and other sectors. In this episode, Katia speaks about unlocking the value of predictive and what it looks like to combine data, AI, and digital in a way that delivers value. She also discusses some of the lessons she learned in other industries and how they translate into retail transformation. If you're interested in more insights in retail, be sure to download our “AI in Retail” cheat sheet at emerj.com/ret1.

Is it possible to make AI friendly to humans via software or will we have to hardwire consideration for humanity into an advanced AI? Louis Del Monte, best-selling author and expert in the field of Artificial Intelligence, argues the latter. In this discussion, Del Monte talks about how he came to these conclusions and wrote a book on the topic, in part inspired by a particular AI study that provoked his grave concern for where AI may take us in the future.

Today’s guests are Melissa Easy, Vice President and General Manager of Clinical Technologies and Vinita Navadgi, Sr. Director, Digital Patient Suite at IQVIA. They join us on today’s show to discuss the advantages of optimizing consent workflows through automation, or ‘eConsent’ processes. The conversation delves into the metrics defining the effectiveness of ‘eConsent’ for both patients and healthcare providers, elucidating the role of AI in shaping the broader landscape of clinical trials. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Our guest this week is Joseph Berti, VP of AI Applications at IBM. In this episode, Joseph discusses the current capabilities of AI and IoT, highlighting specific use-cases where he’s seen value delivered in the industry. He also talks about where this technology combination takes us and what leaders should be aware of future trends. If you’re interested in gaining support, competitive intelligence, or a deeper understanding of the vendor ecosystem with a current AI initiative, visit emerj.com/aiol to learn more about our enterprise-level research or AI Opportunity Landscape.

In this episode of the AI in Industry podcast, we interview Grant Ingersoll at Lucidworks, about enterprise search. Ingersoll talks about how companies have massive amounts of siloed data, making it difficult to find within enterprise systems.

We hope businesses might take away from this interview what is required and what is involved in building search applications to make corporate data more accessible and structured. Ingersoll will also discuss how data strategies are going to evolve and how scientists and data experts might come together to build an enterprise search application.

David Brin is recognized as one of the most iconic futurist fiction writers of our time. With huge bestsellers like “The Postman” (later turned into a movie starring Kevin Costner), David’s work explores the ramifications of human choices of our collective future.

In this interview, David talks about fiction’s unique role in helping humanity find a beneficial future - a job done in large part by pointing out what we want to avoid most, says David. If you’re an entrepreneur, researcher, or writer yourself, David’s insights into “imagination” as a force for good are important to listen closely to.

Today’s guest is Andrew Rabinovich, Vice President of Machine Learning and AI at Upwork. Andrew joins us on today’s podcast to discuss the evolving role of AI in transforming work marketplaces and expediting hiring workflows. With Upwork’s recent launch of a suite of AI products, including Uma, an AI-powered assistant, the conversation focuses on how these innovations aim to streamline the platform’s core functions and enhance collaboration between clients and freelancers. This episode is sponsored by Pieces. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

This week's interview was recorded live at Nuance's Silicon Valley office with guest Charlie Ortiz, director of the AI and Natural Language (NL) Processing Lab for Nuance Communications in Silicon Valley. In this episode, Ortiz speaks about what he sees as the most important developments in natural language processing (NLP) over the last few years, what advancements brought us to where we are today, and where progress might take NLP in the coming years ahead (both at Nuance and beyond).

Today’s guest is Jane Chen, Director of Commercial Analytics for Women’s Cancer at Novartis. Jane joins us on the program today to highlight challenges in identifying and segmenting specific patient groups, particularly those with rare or niched diseases. Throughout the episode, she sheds a spotlight on privacy concerns in healthcare data, including blind spots due to HIPAA regulations. Later, she explains the ways healthcare leaders are testing the waters for generative AI applications in healthcare. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

In the last few months, we've had a string of fantastic interviews with investors and have gained a cross-industry picture of what's important for start-ups and emerging trends in the AI and ML space. This week's interview is no exception. Ann Miura-Ko, co-founder and partner at Floodgate, starts with an explanation of the "self-driving enterprise" concept, her functioning idea about AI investing and the future of software in general. Her high-level insights embody an interesting emphasis on the dynamic of human-machine interactions and relationships cross industries, including the constant workflows and interactions of people using software and bolstering the predictive and prescriptive analytics capabilities of that software. While forward-thinking, Miura-Ko also paints a picture of how these synergistic relationships between humans and machines are happening with companies today.

This episode of the AI in industry podcast is all about where the rubber meets the road for AI in Insurance. We interview Jerry Overton, Head of AI and a Fellow at DXC Technology. He speaks to us about his experience implementing AI in insurance, about where there's real traction with AI in insurance, and where there's only hype. In particular, Overton discusses how anomaly detection technology is a natural fit for AI in the insurance sector.

This is the last episode of its kind on AI in Industry. Starting next Tuesday, we'll be kicking off a new format for the show. Each month, we'll focus on a specific theme, and in August, we're focusing on AI adoption in the enterprise. We hope you'll join us.

Today’s guest is Matthias Steinberg, Chief Financial Officer of MindBridge Analytics. MindBridge is a software company that has developed an AI-powered risk and anomaly detection platform at the cutting edge of accounting and financial service workflows, driving deep business insights in the process. Matthias joins us in today’s program to talk about the trouble that financial professionals face across industries when adopting AI. Later, we touch on the difference between short- and long-term ROI as we see more support for automation across finance teams in every kind of enterprise. This episode is sponsored by MindBridge Analytics. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

We spoke with Robert Golladay, General Manager, Europe at CognitiveScale, which offers AI software that helps both wealth advisors personalize insights and identify new opportunities for clients. According to Golladay, AI is being applied to wealth management services in two areas today:

• Personalization: Helping financial advisors identify the investment preferences of a client and provide personalized advice to a degree that was not possible before. This might involve taking into account factors such as declared, observed, and inferred information around client goals or attitude towards risk.
• Engagement: Helping wealth advisors communicate the most relevant insights for a client at a preferred time and channel.

Peter Voss started a technology company as a young man and brought it to the Johannesburg stock exchange, and sold it. Financially independent, Peter explored research in artificial intelligence, and then came back into business ten years later with his company "Adaptive Artificial Intelligence." 

In our interview, we discuss the applications / ramifications of AI in business, as well as Peter's beliefs as to how genuine exploration of general intelligence is in many ways negated by commercial interest.

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Today’s guest is Tsavo Knott, Co-founder and CEO of Pieces. Pieces is an AI-driven software company that builds a platform to enable software developers to work more efficiently. Tsavo joins Emerj CEO and Head of Research Daniel Faggella for the first in a special two-part conversation on the challenge for software developers as GenAI drives greater heights in computing power and enterprise infrastructure. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Artificial intelligence is coming - should be worried about our jobs? Well, it depends. Our guest Dr. Kevin LaGrandeur spent the last two years researching the impacts of automation and artificial intelligence on society and the job market. In this interview on AI in Industry, we explore the near future of AI's impact on the world of work, and I ask Kevin some important questions, including:

• What skills are least "automate-able" in the next decade?
• What middle class professions have the greatest risk of automation, and what should those professionals be doing now to hedge against job loss?
• What should business leaders be doing now to prepare for "phasing out" work while still taking care of their employees?

For more interviews with AI executives and researchers (and more insight on applying AI in your organization) - visit us online at:

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Our guest on today’s episode of the AI in Business podcast is VP of Artificial Intelligence at Samsung SDS America Patrick Bangert. Patrick discusses the efficacy of making minimal workflow changes a goal from the start and how the AI capabilities pioneered at Samsung have made their way to widespread success for other enterprises. In particular, Patrick gives actionable insight into how minimizing change management friction benefits end users — and why the way people and systems work together remains much more complicated even than machine learning. To access Emerj’s frameworks for AI readiness, ROI and strategy, visit Emerj Plus: emerj.com/p1.

Logistics is behind the time when it comes to data maturity, and it's nearly impossible to get predictive value from disjointed data. This week, Priya Rajagopalan or FourKites shares critical lessons for finding value in logistics data - as well as AI use-cases already making their way into the supply chain.

Learn more about Emerj Plus (emerj.com/p1), and discover our complete AI White Paper Library - including our latest PDF brief: "AI and the Future of the Supply Chain - 3 Critical Trends".

Today’s guest is Dr. Dan Elton, a Data Scientist at the Mass General Brigham Data Science Office. He’s also a fellow at the Foresight Institute and previously served as a staff scientist at the National Institutes of Health. He joins Emerj Senior Editor Matthew DeMello on today’s show to talk about promising AI use cases in healthcare, including use cases in radiology, compliance, and medical record generation, search, and summarization. Later, the two discuss how foundational models will transform how AI is used in radiology. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.

Today’s guests are Melissa Easy, Vice President and General Manager of Clinical Technologies at IQVIA, and Tim Riely, Vice President of Clinical Data Analytics at IQVIA. They join Emerj Senior Editor Matthew DeMello on the program to talk about the current state of AI in life sciences and clinical trials. Throughout the episode, Melissa and Tim underscore the extent that clinical trials are changing thanks to data, and how life sciences will change as more people seek clinical trials as a form of alternative care. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.

When you go to Harvard Business School and then to McKinsey company to work in private equity, there’s really only one thing left to do - go to Silicon Valley and start an AI startup. At least, this is exactly what CEO Praful Krishna did when he moved to San Francisco to start Coseer, an AI company focused on understanding natural language and unstructured data. In this week’s episode, we speak about where unstructured data lives in a business, and how a business can be changed if the right data is unlocked. Krishna also discusses his experience in how executives are making decisions around how or how not to leverage AI in their companies.

Market research and trends is important when discussing AI and business, but it's also worthwhile to contemplate the ethical and social implications further down the line. How will countries deal with potential unemployment problems? How might countries collaborate to hedge against the risks that AI poses to the future of work and other economic facets? A relatively small group is helping people do just that i.e. getting organizations and countries to think through how they could hedge against the grander risks inherent in a world powered by AI.

In this episode, we speak with Jerome Glenn, head of the Millennium Project, an initiative that focuses on research implementing the organizational means, operational priorities, and financing structures necessary to achieve the Millennium Development Goals or (MDGs). Glenn talks about how he gets principalities of the world to bring their big industrial players and the public to talk through possible scenarios that are 30, 40, even 50 years in the future, and about ways we might potentially hedge against risks and make the most of the upsides of AI in a global economy.

Today’s guest is Tomas Ohlson, Founding Engineer at Einride. Einride is a Swedish-based logistics and technology company best known for pioneering automated transportation solutions and leveraging data to drive cost efficiencies across supply chains. Together with Emerj Senior Editor Matthew DeMello, Tomas explains how electric and autonomous vehicles are streamlining inefficiencies in logistics workflows, and providing cost reductions in everything from energy use to inventory prediction. Later, they explore how an automation-first approach is giving us a new perspective on the best places for human judgment in supervising supply chains. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Today’s guest is Ryann Foelker, Strategy Director at American Family Insurance Group. American Family Insurance Group is a private mutual company that provides property, casualty, auto, commercial, life, and health insurance. They also offer homeowners coverage and retirement planning products. Ryann joins Emerj CEO and Head of Research Daniel Faggella for a wide-ranging conversation covering AI adoption throughout the insurance industry. Together, the pair peruse potential use cases and the importance of a cross-functional team with deep industry expertise to drive successful AI solutions. This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Brice Challamel, Head of AI products and Innovation at Moderna. With experience working across five continents, he brings a global perspective to driving AI adoption, innovation management, and measurable results in life sciences. Brice joins Emerj Managing Editor Matthew DeMello to explore how Moderna is embedding AI into both its tools and corporate culture to scale collaboration, accelerate product development, and improve regulatory outcomes. He breaks down how AI is augmenting human creativity, enhancing team decision-making, and supporting patient engagement efforts, while keeping human insight at the center of AI strategy. Brice also shares lessons from other industries to shed light on what’s ahead for AI in regulated sectors like life sciences, where the technology has the potential to improve operational efficiency, vaccine adoption, and broader public health outcomes.

Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on Emerj’s flagship ‘AI in Business’ podcast! This episode is sponsored by MSTRO. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Greg Cucino, Managing Director at RoundTable Strategy Advisors. RoundTable is a leading firm specializing in CFO and NetSuite services that help businesses boost financial management and operational efficiency. Greg joins Emerj Editorial Director Matthew DeMello on the podcast to share his perspective on how AI is redefining the CFO role. As AI automates manual finance and accounting workflows, executives are shifting focus from historical data to forward-looking strategy. Greg also explores emerging AI technologies, including agentic AI, and how they’re set to transform financial operations and M&A activity across industries. If you want to understand the practical applications of AI in finance and what CFOs and business leaders can expect next, this episode is packed with insights. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by RoundTable Strategy Advisors. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is PwC partner in Data, Analytics, and AI, Bret Greenstein. Bret returns to the program to share best practices for selling the C-suite on AI initiatives with Emerj CEO and Head of Research Daniel Faggella as part of a special episode series on winning executive buy-in. In the process, Bret emphasizes how to communicate in ways tailored to executives transitioning from what he describes as ‘spreadsheets and gut feelings’ to genuinely data-driven insights. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Episode Summary: In this episode of the AI in Industry podcast, we interview Rajat Mishra, VP of Customer Experience at Cisco, about the best practices for adopting AI in the enterprise and how business leaders should think about the man-machine balance at their companies. Mishra talks with us about how the executive team should be able to imagine the future of specific work roles that might integrate AI technology or envision how those roles will shift in the short-term. In other words, how will AI affect workflows?

Augmented reality, for the most part, is still relegated to smartphones and relatively novel headset experiences. We've come a long way in the last 15 years since Georgia Tech's Blair MacIntyre first got involved in AR, and in this episode he explains what the future might look like as get closer and closer to an immersed AR experience.

For More Information, Visit the HUB of Startups / Business in Emerging Technology. From Robotic Limbs to Getting Angel Investment, from Biotech to Intellectual Property:

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Today’s guest is Ermir Qeli, Head of Data Science in AI at Swiss Re. Ermir joins us on the program to talk about the array of challenges facing insurance leaders at this stage of AI adoption across the sector and how the pace for which is marked by the fundamentally unstructured data at the heart of insurance tech stacks. Throughout the episode, Ermir offers his perspective on scaling systems dealing with these and similar issues, offering numerous use cases in generative AI and beyond to assist in these processes along the way. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.

Today’s guest is Alberto Rizzoli, Co-founder and CEO of V7. V7 is an AI-first software company that builds a high-quality image and video training platform for model and database management. Alberto joins us on the program to discuss what generative AI capabilities will mean across industries and the biggest challenges facing enterprise leaders trying to integrate bespoke genAI models into their organizations. Today’s episode is sponsored by V7. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

This week we interview Jan Kautz, Vice President of Learning and Perception Research at NVIDIA. Kautz talks about what people underestimate when they start an AI initiative. In addition, he emphasizes the critical value of data storage.

Kautz dives into the importance of getting started with an AI project when you already have a barometer of success. Essentially, he talks about why it's important to select a first AI project in an area where you already have a way of measuring success.

Learn more about AI adoption in our full report, Getting Started With AI: Proven Best Practices for AI Adoption.

Daniel Berleant is an expert in information science and artificial intelligence, and is the author of the book he Human Race to the Future: What Could Happen  - and What to Do. In this interview, we discuss how robots and automation are already affecting industry, and how these impacts might shape not only the future landscape of our economy, but also our conception of what it means to work and earn a living.

We've interviewed a number of guests on TechEmergence, but very few who have had a serious part of their career in selling automobiles. But Michael Perry did just that for 5 years before founding Kit, his third startup - an AI application that works in marketing for small businesses and was acquired by Shopify in April 2016. In this episode, Perry speaks about how Kit and Shopify leverage AI on a daily basis, and how a “non-tech” person with no formal background in AI or data science can build a team  for an AI project. 

Could we one day upload ourselves into a computer or chip? Keith Wiley thinks that one day, we might be able to replicate consciousness within another entity. In this episode, Dr. Wiley speaks to us about why uploading human identity in a computer substrate might be possible in the coming decades, and the type of progress we’re making today in the areas of computing and mapping the brain.

Today’s guest is Tim Nguyen, CEO of Cloud Insurance. Cloud Insurance is a seamless and user-friendly SaaS solution made by insurance experts for insurance companies, MGAs, agents, and brokers since 2016. Tim joins the podcast to discuss the critical challenges and opportunities facing SaaS insurance leaders in their digital transformation efforts. From legacy systems and technical debt to improving customer experience, Tim emphasizes the need for insurance companies to prioritize customer-focused innovation over internal efficiency alone. This episode is sponsored by Hyperscience. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

When we think about AI, we often think about optimizing some particular task. In most circumstances through computation there is an optimal chess move, or an optimal way to determine pattern in data, or solve a math problem, or route info through servers. Most of us are aware of these uses, but what about creative tasks? Can these also be optimized? If we want to give a computer information and tell it to create powerpoint slides, is there an optimal way to create such slides? Dr. Philippe Pasquier’s computational research is focused on artificial creativity. In this episode, we talk about how to define a very new field, train machines in this area, and also discuss trends and developments that might permit such technology to thrive in the next 10 years.

Machine learning currently faces a number of obstacles which prevent it from advancing as quickly as it might. How might these obstacles be overcome and what impact would this have on the machine learning across different industries in the coming decade? In this episode we talk to Dr. Hanie Sedghi, Research Scientist at the Allen Institute for Artificial Intelligence, about the developments in core machine learning technology that need to be made, and that researchers and scientists are working, on to further the application of machine learning in autonomous vehicles. We also touch on some of the impact that might be made if machine learning is able to overcome its own boundaries in terms of computational research, in terms of certain algorithms, and what kind of impact that might have in the arena of autonomous driving and in the realm of natural language processing (NLP).

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Dr. James D. Miller, an Economics and AI researcher who received his doctorate from the University of Chicago, sheds light on how economics factors into our increasingly automated world, where development is growing exponentially. We discuss how this acceleration may (or may not) help materialize the "Singularity", the theorized point at which society is so drastically revolutionized by technologies that we never return to our past ways of life.

Today’s guest is Arcangelo Grisi, Head of Market Surveillance for the U.S. at HSBC. As one of the largest financial services organizations in the world, HSBC generates approximately $50B in revenue per year. In this episode, Arcangelo explores the monitoring of trades regarding manipulating the markets and monitoring communications. He goes into detail about how challenging and essential this role really is within the enterprise. This episode is part of our broader series on AI and compliance sponsored by Smarsh. Smarsh has given us a broad mandate to reach AI experts in the domain of compliance and learn their best practices for adopting the technology. To learn more about sponsored content and how to engage with the Emerj audience, visit emerj.com/ad1.

How does automation influence society today? This is an open-ended question with likely endless answers that can be observed in many different areas of society. As a Writer, Speaker, and Professor in Media Theory and Economics, Douglas Rushkoff has made it his livelihood to examine the impacts of automation in our evolving digital society. In this episode, we speak about his 'disappointment' in how automation has been used by many industries without regard for employees' long-term well being, and how a cultural shift in industry priorities may be what's needed to make automation beneficial for the majority.

If you want to understand the international competitive dynamics of artificial intelligence, particularly the US and China, starting with the United Nations is probably not a bad move. This week, I spoke with Irakli Beridze, the head of the Center for Artificial Intelligence and Robotics at the UN, particularly under the wing called UNICRI, the organization's crime and justice division.

Irakli was kind enough to invite me to speak at a recent event in Shanghai held by the UN and by the Shanghai Institutes for International Studies on national security, and when we were there, we talked a good deal about China's unique AI-related strengths.

I spoke with Irakli about the strengths of the ecosystem in China for artificial intelligence and how that stacks up against the US.

In addition, I asked Irakli about what it's going to look like to encourage more and more multilateral action. In other words, how do we get countries to be on the same page so AI doesn't become an arms race?

On this special bonus episode of the podcast, we spoke with Victoria Rege, Director of Alliances & Strategic Partnerships and Graphcore, for Kisaco Research's AI Hardware Summit in Europe, which takes place October 29 - 30th in Munich, Germany.

We discuss the current challenges enterprises are facing in adopting and using AI hardware. We then project where AI hardware may find a home in business in the new decade.

Over the last year, we've covered a lot of marketing applications. Many people know of our deep marketing research we've done on the landscape of machine learning in marketing applications and which industries will be affected first. But marketing doesn't tell the whole story when it comes to B2B sales. At some point, we need to take these clicks and turn them into appointments, for example. In this episode of AI in Industry, we are joined by Vitaly Gordon, VP of Data Science and Engineering at Einstein, Salesforce’s customer relationship management application driven by artificial intelligence.

We speak with Vitaly about where AI is serving a role in sales enablement today and how the CRM and sales tool ecosystem might be different in the near-term future; how will salespeople be able to leverage AI to make themselves more productive? Vitaly paints an interesting picture of where he sees the low hanging fruit and the unique challenges with sales data and B2B data that are quite different from the challenges those in the B2C world might deal with.

Today’s guest is Roey Mechrez, CEO and Co-Founder of BeyondMinds. BeyondMinds is an AI company based in London. Recorded live in London, this episode highlights the topic of data-centric AI. Roey provides a clear definition of this concept and discusses what it implies for the future of enterprise AI projects. He also speaks about the specific ideas that non-technical business leaders need to understand to identify suitable projects and manage them to achieve a return on investment. Roey is also a valued Emerj Plus member. If you’re interested in unlocking our AI best practice guides, frameworks for AI ROI, and specific resources for AI consultants, visit emerj.com/p1.

Today’s guest is Kimberly Powell, Vice President of Healthcare and Life Sciences at NVIDIA. Kimberly joins us to discuss how AI is reshaping the healthcare landscape. As generative AI adoption accelerates, Kimberly shares her insights on the major challenges the healthcare industry faces, particularly in terms of technology infrastructure. Together, we explore the critical need for hybrid strategies that blend on-premise and cloud computing, enabling real-time data processing for medical imaging, clinical operations, and more. Kimberly emphasizes the importance of developing infrastructure capable of supporting these advanced AI applications to improve patient care and operational efficiency. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.

Today’s guest is John LeBaron, Chief Revenue Officer at Pattern. Pattern is a tech company that builds an AI-driven platform for helping businesses grow faster and sell more on eCommerce marketplaces. John joins us on today’s program to discuss the biggest challenges for brand and consumer product executives, given the current state of AI adoption in the eCommerce sector. Later, he and Emerj Senior Editor Matthew DeMello dissect how new generative AI tools will impact advertising and content optimization. This episode is sponsored by Pattern. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Salamatu Mahamadu, Global Procurement and Sourcing Leader for Wells Completion & Interventions at Baker Hughes. Salamatu joins the podcast to discuss the evolving supply chain landscape in the oil and gas industry. With a focus on green energy transitions, Salamatu highlights the critical role of supply chains in meeting ambitious carbon reduction targets and addressing challenges like supplier innovation, regulatory compliance, and cybersecurity. The conversation also explores how AI-driven systems can transform supply chains by improving demand forecasting, optimizing inventory, and automating data collection processes. Salamatu emphasizes the need for supply chains to prioritize customer and market needs while aligning with global sustainability goals. This episode is sponsored by Arkestro. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Paul Ronan, Chief Technology Officer at FE fundinfo. FE fundinfo is a leading financial data company connecting the investment industry in the UK, Europe, and Asia Pacific through a single integrated platform. With over 30 years of expertise, FE fundinfo empowers asset and wealth managers to streamline operations, improve client outcomes, and make confident, data-driven decisions. In this episode, Paul joins us to discuss how industry leaders are adopting AI to enhance efficiency, improve client personalization, and redefine operational models. While some firms embrace AI as a strategic imperative, others remain cautious due to concerns over data quality and regulatory uncertainty. The conversation explores the shift toward outcome-driven AI programs and the strategies firms need to navigate the evolving investment industry landscape. This episode is sponsored by FE fundinfo. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. 

Do you need a body to think? This is a worthwhile (and also a perplexing) question, and an ongoing debate amongst roboticists. Cognitive Roboticist Dr. Mark Bickhard is part of a field of belief that cognition and intelligence - and maybe consciousness itself - requires embodiment and direct interaction with the world. In this interview, he discusses the concept of normative function and self maintenance in entities, and why this matters when it comes to thinking.

Today’s guest is Chloë Domergue, Principal in the Human Capital Practice at Deloitte. Chloë joins us on today’s program to explore the evolving impact of AI and agentic systems within the life sciences sector. She shares her unique perspective on how technological advancements, particularly generative and agentic AI, are reshaping not just operations but the fundamental nature of the workforce. Together with Emerj Senior Editor Matthew DeMello, Chloë dives into the pressing challenges life sciences organizations face, such as hiring and upskilling talent for a future where AI-driven agents work alongside humans. This episode is sponsored by Deloitte. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

This week, we're continuing our month-long focus on AI use-cases in retail and eCommerce. Our guest this week is Mahmoud Arram, CTO and Founder of Bluecore. Mahmoud's focus is on the marketing and advertising side of retail.

He provides an interesting perspective on how AI could evolve marketing processes in terms of getting the right message in front of the right person at the right time.

Be sure to download our AI in Retail Executive Cheat Sheet, where we lay out the basic use-cases of AI in retail in eCommerce and define key AI-related terms in the industry at emerj.com/ret1.

Today’s guest is Robert Wenier, Global Head of Cloud and Infrastructure at AstraZeneca. Robert joins us on the program to explore the complex decisions faced by leaders in legacy industries as they balance infrastructure investments between cloud technologies and end-point storage. How can they align these investments with their business goals while managing the competing forces of performance, risk, and cost? We break down the strategic considerations: ensuring technology delivers the required performance, carefully monitoring risks like security and capacity, and managing costs to create value and maintain margins. This episode is sponsored by MinIO. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Co-Founder and Co-CEO of AI21 Labs, Ori Goshen. AI21 Labs is a Tel Aviv-based software company specializing in natural language processing-based systems. In conversation with Emerj CEO and Head of Research Daniel Faggella, Ori expounds on generative AI use cases that carry true ROI potential for every business and where the technology is expected to take us over the next decade. Together, they offer analyses of genAI’s capacity as an “autocomplete”-style technology and where comparisons between the two begin and end. This episode is sponsored by AI21 Labs. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today, we’re diving into AI and its applications in the energy sector. Our guest is Andrey Konchenko, Senior Product Manager at DroneDeploy. Andrey previously spent fifteen years at Schlumberger, a gigantic firm with 100k+ employees in the energy sector, and he now works on drones, robotics, and computer vision at DroneDeploy. We discuss three main topics in today’s episode. First, what has made artificial intelligence relevant for business leaders in the energy sector now? Second, we explore individual use-cases for ground robotics, flying robotics, and some novel computer vision applications. Lastly, Andrey provides adoption advice for leaders who are considering this technology in the energy space. This episode is brought to you by DroneDeploy. To learn more about reaching Emerj’s global audience, visit emerj.com/ad1.

Today’s guest is Kandie Ibaka, Vice President and Sanctions Control Officer for International Investigations and Emerging Sanctions in Advisory Controls and Executions at Citi. Kanide joins Emerj Editorial Director Matthew DeMello to discuss how compliance leaders are navigating today’s rapidly shifting regulatory landscape. With global sanctions evolving at an unprecedented pace, Kandie shares how financial institutions are moving beyond basic monitoring to real-time risk interpretation, operational alignment, and strategic response. This episode is sponsored by MindBridge. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast!

Neil Patel co-founder of KISSmetrics, CrazyEgg, and HelloBar - and has for years toured the country speaking on web marketing and web business. Many people know him from his massively popular blog "QuickSprout" (www.quicksprout.com), or from his many appearances at major web and web business events.

In this episode, I pick Neil's brain with regards to some common questions around founding a fast-growing company, and bringing fresh talent onboard.

For more interviews and insights on the crossroads of Emerging Technology, Investment and Entrepreneurship, visit:

www.TechEmergence.com

Dr. Ben Goertzel is widely recognized as the father of Artificial General Intelligence - or the study of super-human artificial intelligence that is not limited to a certain subject, activity, or domain. Through his leadership this "AGI" field has taken shape, and his leadership at the OpenCog Foundation continues to be a driving force in the progress towards human-level intelligence in machines.

In this interview we discuss the status and future of AI, as well as some of Ben's own predictions and projects. For more information, check out www.TechEmergence.com or see the full interview article online at:

http://sentientpotential.com/ben-goertzel-interview-humans-not-the-sharpest-pencil-in-the-pack/

Today’s guest is Heather Lane, Senior Architect at athenahealth. athenahealth is one of the leading U.S. providers of network-enabled services for healthcare and point-of-care mobile apps. Heather joins us on today’s program to discuss the implications of new, emerging generative AI capabilities on the healthcare space and the systems healthcare providers must implement to leverage their benefits. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.

One of the most clear insights from our recent consensus in marketing and advertising was that companies who have more digital touch points along the path to conversion—and more conversion in general—have an advantage when applying AI and ML technologies. In this week's episode, Scopely Co-Founder Ankur Bulsara shines a light on this dynamic and describes how gaming companies are taking advantage of digital trails and applying machine learning technologies. We don't cover much gaming on the TechEmergence podcast, so this interview is a bit off the beaten path. Bulsara speaks about how dialed-in and instrumented the mobile gaming environment is and how data is used to leverage higher conversions over time, as well as how Scopely's systems are set in place to ensure success of their business model. We think his insights on how gaming companies leverage higher conversions with (and without) machine learning can serve as an analogy for companies in other industries that are considering how to set in place similar, optimal digital processes over time.

Today’s guest is Don McGuire, Chief Marketing Officer at Qualcomm. A wireless technology pioneer, Qualcomm invented the foundational technologies for 3G, 4G, and 5G, and today, Qualcomm technology can be found in just about every handset and many devices that we use every day. Qualcomm has diversified its business over the years into different industries, such as automotive, in addition to compute, XR, and more. Don joins us on today’s program to talk about the digital transformation of the automotive industry. He explains the notion of a ‘digital chassis’ essential for enhancing wireless capabilities in modern automobiles and both the hardware and software infrastructure involved. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

In marketing, there are lots of applications in AI and machine learning (ML), from recommendation engines to predictive analytics and beyond. At the company Adgorithms, there are even more ambitious projects underway - like automating the process of marketing altogether by having a machine run and generate ads, or test and spend the marketing budget of a company. Or Shani, CEO of Adgorithms, focuses on the quantitative aspects and optimization of online advertising, using algorithms to improve advertising processes. In this interview, Shani talks about how Adgorithms' smart marketing platform "Albert" meshes with humans’ role in marketing, and also discusses how these roles might change over the next 5 to 10 years as we move towards ever more automated marketing processes.

Today's guest is the Head of Artificial Intelligence at Maya HTT, Remi Duquette. In today's episode, Remi talks about computer vision or what people imagine when they think about computer vision through a distinctly human lens. With Emerj CEO Daniel Faggella, Remi especially pulls apart how machines can look at things in ways that humans can't, as it turns out. They also discuss tools in job vision, listening, and how to go beyond the human senses to be able to drive manufacturing results in predictive maintenance and improving output quality. This episode is sponsored by Maya HTT. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today's guest is the Head of Research at Bloc Ventures, David Pollington. Bloc Ventures is an investment firm known for its early-stage entrances and lucrative exits in deep tech. In conversation with Emerj CEO Daniel Faggella, David talks about how the barriers to entry for serious data analytics use cases are lowering to startups. He cites a growing interest from industrial sectors in overcoming challenges in limited data as a driving force behind the trend. Later, they discuss the economic viability of one learning method surrounding the commercialization of limited data problems. Discover more AI use cases, best practice guides, white papers, frameworks, and more by joining Emerj Plus at emerj.com/p1.

Expert systems and machine learning are two ends of a spectrum working to solve similar problems quite differently. One one hand you have if-then scenarios and a logical approach, and on the other you have vast neural networks and a big data approach. Some companies exist to try and bridge the gap between the if-then rule systems and the massive piles of data. They hope to find a middle ground of sorts, one that mitigates their individual disadvantages. One such company is Montreal’s fuzzy.ai.

In this episode, we interview its founder, Evan Prodromou about the state of the middle ground, so-called hybrid systems. The middle ground is an elusive, still mostly theoretical concept, but businesses can take steps to prepare for when it becomes accessible to them. What exactly would a hybrid system provide to businesses in terms of automation? How accessible are they now, and what can businesses do to best integrate them when they’re ready? Find out in this episode of the podcast.

For more interviews about the business applications of AI, visit:

www.TechEmergence.com

Today’s guest is Anand Babu Periasamy, Co-founder & Co-CEO of MinIO, Inc. MinIO is a software company that develops High-Performance Object Storage systems that are API compatible with the Amazon S3 cloud storage service. Anand joins us on today’s podcast to discuss opportunities for IT and infrastructure leaders to scale AI across the enterprise. Throughout the episode, Anand explains at length what he sees as the critical ingredients for ensuring sustainable growth in infrastructure systems and the advantages of object storage regardless of industrial sector. This episode is sponsored by MinIO. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Jennifer Sieber, Global Head of Procurement for Systems and Insights at Gilead Sciences. Jennifer joins today’s podcast to share her perspectives on overcoming the operational complexities global procurement faces, especially when aiming to optimize data and maintain agility in a competitive 2024 landscape. Jennifer begins highlighting the ongoing transformation at Gilead, emphasizing that efficient procurement begins with data integrity and a unified process architecture. Later, she shares how her team is addressing these through data cleansing, integration into a data lake, and using AI to support data mapping and visualization, which are essential steps toward creating a more proactive, data-driven procurement strategy. This episode is sponsored by Arkestro.  To learn more about Emerj Media and how to reach the Emerj audience, visit emerj.com/ad1.

Today’s guest is Virginia Dignum, Director of the AI Policy Lab, Professor of Computer Science at Umeå University, and an Associated Professor at Delft University of Technology. In this special episode of the “AI Futures” series on the AI in Business podcast, we offer an exclusive sample from the Trajectory podcast, hosted by Emerj CEO and Head of Research Daniel Faggella. Together, Virginia and Daniel hypothesize what human governance over artificial general intelligence (AGI) might look like, and the many challenges NGOs and international bodies face today in creating the foundations for these governing structures. Virginia challenges the prevalent AGI narrative, advocating instead for a focus on what she terms “Human General Intelligence” (HGI), emphasizing collaboration and human-machine augmentation over existential AI risks. The discussion explores why governing AI requires a socio-technical approach, ensuring accountability rests with humans rather than machines. Virginia also highlights the importance of global governance to address both the risks and equitable benefits of AI, touching on her hands-on experience with international policy groups. If you’re interested in getting more perspectives on AI’s longer term impact on business and society, be sure to tune into the Trajectory podcast. You can find the YouTube and podcast links here: emerj.com/tj2

Today’s guest is Sreekanth Menon, Vice President and Global Leader of AI/ML Services at Genpact. Sreekanth joins Emerj CEO and Head of Research Daniel Faggella on today’s show for a candid and productive conversation on what responsible AI practices in transparency and accountability truly mean in terms of practical data governance policies. With new generative AI applications and challenges surrounding hallucinations and misinformation, responsible AI disciplines and workflows are no longer the terrain of PR buzzwords. Sreekanth’s appearance on today’s show builds off of Genpact’s existing thought leadership in these areas, offering business leaders actionable insights in leveraging these new capabilities for procurement process improvement. Along the way, he explains in-depth what these changes will mean for banking and other industries as they become more widespread between enterprises. For more relevant insights on these topics and more, business leaders should also explore Genpact’s recent white paper titled ‘Creativity and Constraints: A Framework for Responsible Generative AI.’ This episode is sponsored by Genpact. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today we interview Babak Hodjat, VP of Evolutionary AI at Cognizant, one of world's largest IT integration & service firms. Babak has 20+ years of AI experience, starting his first AI startup in 1998 in the SF Bay area, and later founding Sentient Technologies which raised $174 million to innovate with AI in trading. In this episode, Babak says "AI should be disruptive.", and leaders should "go big". Want to learn more about how to make the business case for AI? Check out Emerj Plus: emerj.com/p1

Last month, we focused on advancing your career in the age of AI, and this month we have a new theme: building your corporate AI strategy. At Emerj, much of our work in the public and private sector is in building an AI strategy and giving organizations data on where the ROI is in the AI world.

This week, we speak with Ian Wilson, former Head of AI at HSBC and a research advisor for our banking work. He has rare experience applying AI strategically at one of the largest banks in the world, and I think he is just the person to start off this month's theme. Ian talks about beginning to plan your AI strategy.

Today’s guest is Akhil Khunger, VP in Quantitative Analytics at Barclays. Akhil returns to the program to discuss the evolving role of customer-facing AI in financial services and how financial institutions are embedding safety and security measures directly into client-facing systems. He delves into the risks financial services face, such as prompt injection and model jailbreaking, and how firms are balancing user experience with necessary guardrails. Later, he and Emerj Managing Editor Matthew DeMello explore the challenges of building transparent, trustworthy, and resilient AI systems for the next generation of financial services, especially in light of growing regulatory expectations. This episode is sponsored by ActiveFence. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on Emerj’s flagship ‘AI in Business’ podcast!

Today’s guest is Amaresh Tripathy, Senior Vice President and Global Business Lead for Analytics at Genpact. Genpact has some 80,000 employees, and Amaresh leads a global team of nearly 8,000 analytics experts covering everything from data engineering, machine learning, data insights, and more. This episode focuses on data fabrics and what separates the idea of a data fabric from a data lake, and how enterprise leaders can make sure that this fabric translates immediately to use-cases that add value with near-term ROI and building long-term capability. Amaresh also clarifies the concept of data fabric and ties it to use-cases applicable in business with real examples from some of Genpact’s clients. Join Emerj Plus at emerj.com/p1 to discover more AI use-cases, best practice guides, whitepapers, frameworks, and more.

Today’s guest is Remi Duquette, Vice President of Innovation and Industrial AI at MayaHTT. MayaHTT is a services firm focused on industrial engineering and industrial AI. In this episode, he speaks to his direct knowledge of applying AI in the industrial setting with examples from making paper products to food processing. He also discusses what it looks like to use AI for quality improvement, touching on the full gambit of AI transformation, with a specific focus on use-cases with quality as their goal. To access Emerj’s frameworks for AI readiness, ROI and strategy, visit Emerj Plus: emerj.com/p1.

Today’s guest is Venkatesh Palani, Senior Director and Head of Engineering for Risk and Trust at eBay. Venkatesh joins us on today’s show to discuss the evolving challenges and solutions within the fraud and risk space in eCommerce. As AI and digital tools have democratized, fraudsters have leveraged these technologies, making prevention and mitigation efforts more complex. Venkatesh offers insight into how retail leaders can tackle these issues, from identity verification complications arising from deepfake technologies to the rising sophistication of phishing attacks. This episode is sponsored by Riskified. To learn more about Emerj Media and how to reach the Emerj audience, visit emerj.com/ad1.

Episode summary: This week on AI in Industry, we speak to Rana el Kaliouby, Co-founder and CEO of Affectiva about how machine vision can be applied to detecting human emotion - and the business value of emotionally aware machines.

Enterprises leveraging cameras today to gain an understanding of customer engagement and emotions will find Rana’s thoughts quite engaging, particularly her predictions about the future of marketing and automotive.

We’ve had guests on our podcast say that the cameras of the future will most likely be set up for their outputs to be interpreted by AI, rather than by humans. Increasingly machine vision technology is being used in sectors like automotive, security, marketing, and heavy industry - machines making sense of data and relaying information to people. Emotional intelligence is an inevitable next step in our symbiotic relationship with machines, an in this interview we explore the trend in depth.

Interested readers can listen to the full interview with Rana here: https://www.techemergence.com/can-businesses-use-emotional-intelligence

How can machine learning help us advertise through social media? In this episode, Thomas Jelonek, CEO of Envision.ai, talks to us about how in the next five years, machine learning might automate the laborious guess-and-check process of finding visual content with which users can engage. Right now, finding images and videos that will best generate engagement is a task reserved for a human. He or she shifts through images and video clips that may work for an audience based on anecdotal evidence and perception of past post success. Learn how, according to Thomas, machine learning could help you save time and money, generate you a better ROI, and build you a larger list with more accurate targeting on social media.

For more interviews with AI experts, visit:

www.TechEmergence.com

AI has numerous use cases in legal, from document search to compliance and contract abstraction. This week, we speak with Lars Mahler, Chief Science Officer for LegalSifter, about what's possible with AI for legal departments today and how AI applications for legal teams, such as natural language processing-based contract analysis, work. In addition, Mahler discusses how lawyers at companies and data scientists work together to train machine learning algorithms.

He provides some insight into how a company has to make its way into the legal space and the challenges of training an NLP system and collecting data for it.

Read more about AI in legal at Emerj.com

Joe Rampolla was like any other police officer assigned to a cybercrime unit. But after seeing the posibilities for extreme good and potential abuse with VR and AR technologies, he wanted to go deeper. He's not one of the most connected people in the Augmented Reality community, and in this interview he talks about the considerations that responsible people might want to make now with respect to the "good" and "bad" use of technology.

For More Information, Visit the HUB of Startups / Business in Emerging Technology. From Robotic Limbs to Getting Angel Investment, from Biotech to Intellectual Property:

http://www.TechEmergence.com

Interested in the Future of Humanity and the Ramifications of Emerging Tech? Sentient Potential Covers the Ethical Considerations and Future Projections at the Crossroads of Technology and Consciousness:

http://www.SentientPotential.com

Today the great and brilliant Gilad Turbahn, Senior Director of Product Management at Conga (formerly Apttus). Apttus is a leading quote-to-cash company that will put big enterprises on accounts receivable, and they recently merged with Conga, a global leader in commercial operations transformation. Gilad explains this week what they are working on for conversational interfaces with sales folks. The idea of layering on AI is still the wild west to some degree, there are a plethora of potential exciting use cases, and it will be interesting to see which ones evolve and move forward, but this is one use case that I thought you all should hear about. Interested in more use cases? Check out Emerj Plus: emerj.com/p1

Today's guest is Mahmoud Arram, Co-Founder and CTO at ‎Bluecore. Bluecore is a marketing technology company that's reimagining how retailers communicate with shoppers and has raised over $100 million to deliver Artificial Intelligence to enterprises. Mahmoud helps us answer where to target your efforts with AI and how to identify problems that will deliver business results, a real problem versus a toy problem, whether you are building an AI product or thinking about where to apply AI to your own business. Interested in more use cases, infographics and frameworks? Check out Emerj Plus: emerj.com/p1

TechEmergence has had a number of past guests who have talked about neural networks and machine learning, but Dr. Pieter Mosterman speaks in-depth about the pendulum swing in this approach to AI from the 1960s to today. What we call neural networks as a general approach to developing AI has come in and out of favor two or three times in the last 50+ years. In this episode, Dr. Pieter Mosterman speaks about the shift in this approach and why neural networks have gone in and out of favor, as well as where the pendulum may take us in the not-too-distant future.

Episode summary: In this week’s episode of AI in Industry we speak with Rodney Brooks, Founder and CTO of Rethink Robotics, a collaborative robot manufacturers founded in Boston in 2008. Rodney explores robotic safety an regulations and he also paints a picture of what robots might be capable of in the next five years.

Executives in the logistics and manufacturing sectors considering adopting robots will find Rodney’s insights most valuable.  Rodney explores what applications will move into the realm of robotics and what application won't in the near future and delves into what business executives need to know about human robot collaboration before considering their adoption.

Interested readers can see the full interview with Rodney Brooks from Rethink Robotics here: https://www.techemergence.com/improving-robot-safety-capability-artificial-intelligence-rodney-brooks/

Episode summary: In this episode of AI in Industry, we speak with Andy Terrel, the Chief Data Scientist at REX - Real Estate Exchange Inc., about how AI is being used in the real estate sector today.

Looking ahead ten years into the future, Andy paints a picture of the areas where he believes AI will change the real estate business. Andy explores how marketing in real estate might change in the future with chatbots and conversational interfaces in real estate which are high value per ticket interactions - a process that will likely vary greatly from the chatbot applications we see for smaller B2C purchases (in the fashion sector, eCommerce, etc).

Interested readers can listen to the full interview with Andy here:

https://www.techemergence.com/ai-use-cases-future-real-estate/

Today's guest is Monte Zweben. Monte started doing AI with NASA in the late 80s, took a company public for nearly $3B at the height of the internet boom of the late 90s, and is now CEO at Splice Machine. This company offers a scalable SQL data platform for modernizing applications. In this episode, Monte speaks to us about some of the mirrored elements of tech's past transitions into AI and what they mean for how AI will start to become the norm in enterprises. He also applies lessons learned from his previous business transitions into what leaders can do to better prepare for this next wave of AI. Do you want to support this show? Be sure to leave us a review on Apple Podcasts, and let us know what you like about the program! https://podcasts.apple.com/us/podcast/ai-in-business/id670771965

Today’s guest is Matt Madrigal, Vice President and General Manager of Merchant Shopping at Google. Matt returns to the program today to talk about data-based solutions for SMB retail challenges surrounding product imagery and translating brick-and-mortar customer experiences to the digital world. Throughout the episode, Matt pulls apart what small businesses will need to take advantage of the growing microservices market as generative AI tools become more commodifiable. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

After receiving her PhD in Computer Science from the University of New York in 2002, Dr. Sheryl Brahnam's research interests steered her toward studying human abuse and misuse with computers, specifically conversational agents such as Siri, phone-based auto agent systems, and even chat support. Her research yields questions in relative new territory: Are AI prone to receiving misuse?; why do people misuse these agents in ways that they would not treat a human?; and, what types of regulations will we need as AI improves and becomes more intelligent?