Today we are focusing on the domain of data collection and quality. Our guest is Christian Rozsenich, Managing Director of Clickworker. In this episode, we talk about a few topics broadly applicable to any industry. The first is the general challenges and importance of data quality and data harmony for AI projects. Christian details the kinds of issues enterprises are running up against and how they can diagnose their own data needs. The next topic we highlight is real-world use-cases of computer vision and computer voice. Christian explains how data is collected and processed for crowdsourcing applications and more. This episode is sponsored by Clickworker. To learn more about Emerj Media and how to reach our global executive audience, be sure to visit emerj.com/ad1.&nbsp;

Achieving AI ROI Through Data Quality and Diversity - with Christian Rozsenich of Clickworker

Today's guest is Aktana Chairman and CEO David Ehrlich. Aktana is an AI vendor that helps life science commercial teams go to market with their products. On the AI in Business podcast, David talks about the challenges that marketing and product teams face in getting pharmaceuticals in the marketplace and where these challenges overlap with broader industry applications in banking and retail. Later, he and Emerj CEO Daniel Faggella discuss where AI adds value to the process in unique use cases and what gives life science commercial teams the highest chances of success in adopting AI. 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!

Leveling Up Commercial Operations in Pharma - with David Ehrlich of Aktana

Today’s guest for the final episode in our five-part ‘AI Futures’ series on the ‘AI in Business’ podcast is Tom Davenport, an American academic, business leader, and world-renowned voice in matters of artificial intelligence. He joins Emerj CEO and Head of Research Daniel Faggella to discuss the forces that are making new developments in generative AI mandatory across the global economy. Later they examine how business leaders can make the most of these technologies without incurring undue legal risk. 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!

Generative AI and the Future of Work Itself - with Tom Davenport [AI Futures / Human Reward Systems]

Today’s guest is Aman Thind, Chief Architect at State Street. He joins us in the program today to talk about practical applications of AI across asset management workflows and what advanced generative technologies will mean for the sector in the long term. Throughout the program, Aman makes a finer point about the possibilities for content generation, administration, and data governance as these technologies advance in the coming years. This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at&nbsp;.

Leveled Approaches to AI for Asset Management Challenges - with Aman Thind of State Street

Today’s guest is Mike Matta, Co-founder and CEO of Solink. Solink is a cloud video security and analytics platform that works with your existing cameras, access controls, and operational technologies like POS and labor management, helping you modernize and improve security and operations without costly upgrades. Mike joins today’s show to discuss how AI-driven video data is helping retailers mitigate risk, improve loss prevention strategies, and drive operational efficiencies. Today’s episode is part of a special series on driving video security in retail through data sponsored by Solink. Learn how brands work with Emerj and other Emerj Media options at .

Tackling Retail Crime and Loss Prevention with AI Driven Video Security - with Mike Matta of Solink

Today’s guest is Nick Lewis, Managing Director for the High Risk Client Unit at Standard Chartered Bank. Nick joins today’s show to discuss the shifting landscape of fraud prevention and AML compliance in financial services. As governments increasingly shift regulatory responsibilities onto the private sector, banks find themselves at the forefront of both enforcement and risk management. Lewis highlights how sanctions regimes have evolved, pushing financial institutions to shoulder greater due diligence responsibilities with fewer resources. His conversation with Emerj Editorial Director Matthew DeMello also explores the broader implications of this public-private realignment, including the increasing reliance on AI-driven detection methods and the complexities of prioritizing financial crime risks. Lewis underscores the growing role of banks in addressing crimes such as human trafficking, despite the lack of formal mandates, and how AI could enhance collaboration with law enforcement to identify and mitigate emerging threats. 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!

The Evolving Role of Banks in Fraud Detection and AML Compliance - with Nick Lewis of Standard Chartered Bank

Today’s guest is Nishtha Jain, Head of Innovation and Digital Technology at Takeda Pharmaceuticals. Nistha returns to the program to discuss the transformative impact of AI across the pharmaceutical value chain. She and Emerj Editorial Director Matthew DeMello explore how AI is improving drug development efficiency, addressing data challenges, and overcoming regulatory hurdles. She highlights key breakthroughs like Google DeepMind’s AlphaFold and AI-assisted clinical trial optimization, emphasizing the potential for faster, more cost-effective drug development. The discussion also covers the challenges of AI adoption, including data accessibility, regulatory compliance, and ethical considerations like bias in AI models. 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!

AI in Biopharma Innovation and Regulatory Challenges - with Nishtha Jain of Takeda Pharmaceuticals

Today’s guest is Ben Webster, VP of AI Solutions at NLP Logix. NLP Logix is a fast-growing AI services firm based in Florida that serves both the public and private sectors. Ben returns to the program to explore the complexities of de-identifying patient data for AI-driven healthcare applications. Hospital chains are increasingly leveraging first-party data assets to ensure compliance while maintaining the analytical power needed for AI models. However, achieving proper de-identification is often costly, time-intensive, and difficult to scale across multiple use cases. This episode is sponsored by NLP Logix. Learn how brands work with Emerj and other Emerj Media options at .

De-Identified Data and AI Adoption in Healthcare - with Ben Webster of NLP Logix

Today’s guest is Emily Nguyen, Head of Industrials at Palantir Technologies. Emily joins Emerj Editorial Director Matthew DeMello to discuss how Project Warp Speed is helping manufacturing leaders scale AI rapidly and effectively. She breaks down the key values driving successful AI adoption — including mission focus, first-principles thinking, and urgency — and shares real-world examples of AI applications in manufacturing, such as visual inspection and predictive maintenance. Emily recommends starting small with AI projects, meeting users where they are, and integrating with existing systems. She also explores the future of industrial collaboration, highlighting efforts to preserve tribal knowledge and enhance supply chain connectivity to improve national readiness. Want to share your AI adoption story with executive peers? Click  for more information and to be a potential future guest on the ‘AI in Business’ podcast! 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!

Lessons from Project Warp Speed in How High-Velocity Partners Are Scaling AI in Manufacturing - with Emily Nguyen of Palantir Technologies

In this special weekend edition of the ‘AI in Business’ podcast’s AI Futures series, Emerj CEO and Head of Research Daniel Faggella speaks with Stuart Russell, Distinguished Professor of Computational Precision Health and Computer Science at the University of California and President of the International Association for Safe &amp; Ethical AI. Widely considered one of the earliest voices warning about the uncontrollability of advanced AI systems, Russell discusses the urgent challenges posed by AGI development, the incentives driving companies into a dangerous race dynamic, and what forms of international governance may be necessary to prevent catastrophic risks. Their conversation ranges from technical safety approaches to potential international treaty models, the role of culture and media in shaping public awareness, and the possible benefits of getting AI governance right. This episode was originally published on Daniel’s ‘The Trajectory’ podcast, which focuses exclusively on long-term AI futures. Want to share your AI adoption story with executive peers? Click  for more information and to be a potential future guest on the ‘AI in Business’ podcast! 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!

Human Compatible AI and AGI Risks - with Stuart Russell of the University of California

Today’s guest is Faithe Toomy, Director of Voice of the Customer and Insights at Insulet. Insulet is a medical device company specializing in wearable drug delivery systems for diabetes care, combining engineering, clinical research, and digital health capabilities to develop automated therapeutic solutions. Faithe joins Emerj Editorial Director Matthew DeMello to discuss how data and AI are transforming call center operations while maintaining compliance and customer trust. Faithe also shares practical strategies for training agents, leveraging conversational analytics, and implementing AI tools that enhance workflow efficiency, improve first-contact resolution, and support a more confident, human-centered customer experience. Want to share your AI adoption story with executive peers? Click  for more information and to be a potential future guest on the ‘AI in Business’ podcast!

Achieving Personalization and Compliance in Med Tech Solutions - with Faithe Toomy of Insulet

Today’s guest is Shandon Quinn, Vice President of Patent Intelligence, Search and Analytics at Clarivate. Quinn joins Emerj Editorial Director Matthew DeMello to examine how AI-powered workflows are helping IP leaders deliver strategic impact, smarter decision-making, and tangible results for data-centric enterprises. Shandon also shares proven changes to patent review and portfolio management, including the shift to predictive analytics and benchmarking, enabling teams to save costs and create new business value through data and automation. This episode is sponsored by Clarivate. Learn how brands work with Emerj and other Emerj Media options at . Want to share your AI adoption story with executive peers? Click  for more information and to be a potential future guest on the ‘AI in Business’ podcast!

How AI Is Reshaping Patent Strategy and Portfolio Management - with Shandon Quinn of Clarivate

Today’s guest is Naveen Kumar, Director of Financial Crimes at Walmart. Naveen joins Emerj Editorial Director Matthew DeMello to discuss how AI-powered video and sensor analytics are transforming risk detection and operational oversight in retail environments. Naveen shares insights on how integrating diverse data sources enables real-time fraud detection, compliance monitoring, and enhanced employee safety. The conversation also covers practical workflow innovations, including cross-functional collaboration and embedding AI into daily processes to generate measurable improvements in efficiency and customer experience. Want to share your AI adoption story with executive peers? Click  for more information and to be a potential future guest on the ‘AI in Business’ podcast!

The Expanding Role of Video and Visual Data From Footage to Forensics in Retail  - with Naveen Kumar of Walmart

Today’s guest is Kevin Ahlstrom, Associate General Counsel in Patents at Meta. Kevin brings extensive expertise in navigating intellectual property challenges in the rapidly evolving technology sector. He joins Emerj Editorial Director Matthew DeMello to discuss the evolving role of patent strategy in the age of AI innovation. Kevin also shares practical insights on streamlining legal workflows and aligning intellectual property management with AI development to drive greater innovation, efficiency, and ROI. Today’s episode is sponsored by Filevine. Learn how brands work with Emerj and other Emerj Media options at . Want to share your AI adoption story with executive peers? Click  for more information and to be a potential future guest on the ‘AI in Business’ podcast!

Practical AI for In-House Patent Legal - with Kevin Ahlstrom of Meta

Today’s guest is Padma Hari, Chief Digital Officer at Nestlé Purina. With over 20 years of experience shaping digital strategy and driving enterprise-wide transformations, Padma has leveraged AI, analytics, and data-driven insights to deliver measurable business impact at scale. Padma joins Emerj Editorial Director Matthew DeMello to discuss how enterprise leaders can move from siloed decision-making to end-to-end synchronized planning using data and AI. Padma also shares practical takeaways, including how to harmonize goals across business functions, run mock sessions to test new planning processes, and utilize AI to enable faster and more effective decision-making, which boosts operational efficiency and ROI. This episode is sponsored by . Learn how brands work with Emerj and other Emerj Media options at . Are you shaping AI adoption at your organization? Share your experience with fellow executives on the ‘AI in Business’ podcast. Apply to be a future guest at . Watch Emerj Editorial Director Matthew DeMello and Kuo Zhang, President of Alibaba.com’s conversation on our new YouTube Channel: .

The Future of AI Agents in Consumer Goods Operations - with Padma Hari of Nestlé Purina

Today’s guest is Sunitha Rao, SVP and General Manager for Hybrid Cloud Business at Hitachi Vantara. Hitachi Vantara is a wholly owned subsidiary of Hitachi, Ltd. that provides data infrastructure foundations that help leading innovators manage and leverage their data at scale. Through data storage, infrastructure systems, cloud management, and digital expertise, the company helps customers build the foundation for sustainable business growth. Sunitha joins Emerj Editorial Director Matthew DeMello on the show to break down how enterprises across industries can modernize their data infrastructure, scale AI deployments, and align IT investments with their sustainability goals. This episode is sponsored by . Learn how brands work with Emerj and other Emerj Media options at .

Data Volume, Quality, and Model Degradation for AI at Scale - with Sunitha Rao of Hitachi Vantara

Today’s guest is Steve Taczala, VP of Service Operations at Impact Networking. Impact Networking is a managed service provider founded in 1999, with more than 20 US offices, supporting organizations in IT, cybersecurity, and applying AI to business operations. Taczala brings extensive experience in managing MSP service operations and improving IT workflows. Steve joins Emerj Editorial Director Matthew DeMello to discuss how enterprise teams can reduce ticket noise, prioritize actionable incidents, and prepare service desks for AI-driven operations. Steve also shares practical strategies for staging platform migrations, implementing intelligent ticket routing, and using AI to enhance team efficiency and the overall customer experience. This episode is sponsored by . Learn how brands work with Emerj and other Emerj Media options at .

Fixing Ticket Noise with AI in Enterprise MSP Operations - with Steve Taczala of Impact Networking

On this episode of the AI in Business podcast, Emerj Editorial Director Matthew DeMello speaks with Ben Ninio, Principal in Strategy at Deloitte, about how enterprises are rethinking the fundamentals of scientific discovery in the AI era. Ben explains why language itself has become the “hack” for unifying frameworks across R&amp;D domains—from pharmaceuticals to agriculture to industrial chemistry—allowing organizations to move beyond the limits of brute-force computation. He illustrates how large language models and knowledge graphs can help identify new molecular, biological, and cross-domain insights that were previously impossible to surface. This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at . Want to share your AI adoption story with executive peers? Click  for more information and to be a potential future guest on the ‘AI in Business’ podcast! 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! This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at .

Connecting the Dots Across Discovery - with Ben Ninio of Deloitte

When finance leaders push for measurable savings and supply chain leaders prioritize continuity and resilience, technology adoption often gets caught in the middle. Procurement teams, operating with risk-averse cultures and outdated tools, face growing complexity while pressure mounts from both sides of the business. In this episode of the AI in Business podcast, Rob DeSantis — CEO and Co-founder of Arkestro, Co-founder of Ariba, and early LinkedIn executive — explains to Emerj CEO and Head of Research Daniel Faggella why AI represents more than incremental change for procurement. Instead of simply digitizing old workflows, AI enables re-imagined processes that deliver step-function value, often translating into 20 to 30 percent savings directly impacting earnings per share. Want to share your AI adoption story with executive peers? Click  for more information and to be a potential future guest on the ‘AI in Business’ podcast! 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! This episode is sponsored by Arkestro. Learn how brands work with Emerj and other Emerj Media options at .

Enabling Strategic Procurement with AI, From Frustration to Foresight - with Rob DeSantis of Arkestro

Open-Minded Conversation May Be Our Best Bet for Survival in the 21st Century – w/ Lord Martin Rees

One facet of business that nearly any industry has in common is the need to stay on top of news in their respective market, including competitor strategies or understanding&nbsp;changes in news related to the field. Media monitoring is a domain that&nbsp;machine learning (ML) is well suited for, with it's ability to coax out headlines, contextual information, and financial data from the seemingly endless stream of social, blog, and other information on the web today. Signal is a company that uses ML specifically for these purposes. In this episode, we speak with Signal Media's Chief Data Scientist and Co-founder Dr. Miguel Martinez, who dives into real business use cases illustrating the use of&nbsp;machine learning for media monitoring across industries. &nbsp;

Machine Learning for Media Monitoring - with Signal Chief Data Scientist

I'm always a little shocked when I see how much venture investing goes into the healthcare space, which brings me to the subject of this week's episode: just how the healthcare industry&nbsp;is (and isn't) being impacted by innovations in AI technology. Guest Steve Gullans of Boston-Based Excel Venture Management&nbsp;talks&nbsp;about some of the various healthcare-related ML and AI applications that he sees being brought to light, and touches&nbsp;on which innovations have a better chance of getting blocked and redirected by parties of interest&nbsp;and those that&nbsp;have more promise in being accepted and rolled out sooner. By the end of this episode, listeners will have a&nbsp;more clear picture of practical considerations in&nbsp;healthcare technology adoption, reasons&nbsp;that are&nbsp;often less about quality or potential of the technology and more about&nbsp;clarity on ROI for investors.

AI Healthcare Applications – and Why Doctors Don't Want to Be Replaced

Guests Will Jack and Nikhil Buduma co-founders of Remedy Health Inc discuss the challenges involved in collecting, setting up and structuring data in order to implement AI in healthcare. By the end of this episode, listeners will have gained insight into the challenges of healthcare data systems, and the potential solutions to cleaning and organizing this data for healthcare AI applications.

TechEmergence Podcast

The Challenges and Opportunities of Healthcare Data - with Remedy Health

Although machine learning in finance is far from new, it is merely at the cusp of a much wider set of applications (in all segments of finance, from insurance to bookkeeping and beyond). Already machine learning has overhauled so many aspects of the financial landscape, from accounting to trading, and it is destined to have more and more impact as it develops further. Guest Alexander Fleiss and his team at Rebellion Research are developing and using AI which uses quantitative analysis to pick investments. Fleiss discusses the current status of machine learning in the world of finance as well as lesser-known niche applications that don’t make headlines - but do make a big impact on how businesses are run. He then goes on to explore the effects of future innovative applications of AI in the financial domain.

Full episode notes and related finance and AI interviews online at:
https://www.techemergence.com/rebellion-researchs-alexander-fleiss-how-ai-is-eating-finance

Rebellion Research's Alexander Fleiss - How AI is Eating Finance

Imagine you work in a large organization with tens of thousands of employees across multiple countries, a business that’s been around for over a hundred years, and all of a sudden you have people in one department who are interested in applying chatbots, colleagues in another department who wish to implement sentiment analysis and still another department that wants to begin using AI for fraud and risk analysis. How do you manage to put all these pieces together? That is exactly the situation that Muriel Serrurier Schepper found herself in. &nbsp;Muriel is the Business Consultant Advanced Data Analytics &amp; Artificial Intelligence at Rabobank Digital Bank in Naarden, Netherlands. In this episode, Muriel and I discuss the Artificial Intelligence Center of Excellence at Rabobank, where she manages projects and has connected ad virtual and physical team across the company which is comprised of over 60,000 employees spread across the world. For more interviews on the applications of AI in industry, visit: www.TechEmergence.com

Bringing AI into an Old, Large, Existing Business - with Muriel Serrurier Schepper of Rabobank

Though we don't think about it on a daily basis - the technologies around us often "work" because of an underlying standard that they depend on. These technologies include: Wifi, ethernet, fax, and much of the internet itself. Do certain AI applications need their own set of standards in order to scale? Imagine if you needed a new type of cable or input every time you wanted to jack your computer into the wall? Imagine if you needed different hardware to pick up wifi in every location you moved around to? Imagine if all websites had totally different protocols for how they were loaded or served to your computer? If this were the case, it would be extremely challenging for a robust "ecosystem" of internet companies and technologies to emerge, because the technology wouldn't scale or work well at all. This week we interview Konstantinos Karachalios,‎ Managing Director of the Standards Association&nbsp;at the&nbsp;Institute of Electrical and Electronics Engineers (IEEE). Konstantinos holds a PhD in Physical and previously worked for 25 years at the European Patent Office. He speaks with us this week about the kinds of AI standards that may need to arise in order for AI to be safe and trusted enough to support a business ecosystem. Konstantinos also speaks to us about some of the current AI standards that IEEE is working on developing currently, and the implications they might have businesses everywhere.

Might AI Need Standards to Scale? - with Konstantinos Karachalios of the IEEE

Procurement isn't usually seen as a "sexy" aspect of a business's operations. Procurement personnel are responsible for sourcing suppliers or vendors, determining criterion of success, negotiating deal terms, and tracking results and deliverables - all of which could be considered "under appreciated" work. This week, Tamr's Eliot Knudsen walks us through the ways that AI is making it's way into the procurement process, and what it means for the future of this job function. For more executive interviews about the applications and implications of AI, visit: www.TechEmergence.com

Tamr's Eliot Knudsen on the Automation of Procurement

This week on AI in Industry we interview Vito Vishnepolsky of Clickworker. Clickworker is&nbsp;a large microtasking marketplace that crowdsources the search optimization work for many of the world's leading&nbsp;search engines. So how does crowdsourced human work play a role in making sure eCommerce and media searches give users what they want? That's exactly what we explore this week. Vito’s perspective is valuable because he has a finger on the pulse of crowdsourced demand, handing business development for various crowdsourced AI support services - both for tech giants and startups. Read the full article online at TechEmergence:  TechEmergence.com/how-microtasking-helps-optimize-ai-based-search

How Microtasking Helps Optimize AI-Based Search - in Media, eCommerce and More

This week we interview a leader at Facebook. Jason Sundram is the lead of World.ai at Facebook, which is one of their efforts to work with public data around roads and population and other projects of that kind. But Sundram is also highly involved in the Boston office here, where Facebook will soon have around 650 employees. Many of them focus on data science and artificial intelligence. Last time we talked about personalization in AI with Hussein Mehanna, who was Director of Engineering at Facebook at the time. This time, we'll talk about two topics that all established sectors need to be focusing on:  How does one build ML and data science teams? How does one pick an AI project?  For business leaders who are considering hiring data science talent or thinking about how to start with AI in terms of making a difference in their bottom line, this should be a useful episode.

Facebook's Jason Sundram - How to Build Data Science Teams for AI Projects

While AI is certainly finding its footing in finance, we still find most of our subscribers are in a phase where they're trying to catch up in terms of data and data infrastructure and figure out where there's real traction with AI in finance: in banking, investing, or insurance. In this episode, we explore AI use-cases in a number of these areas of the financial industry. We interview Carlos Pazos and&nbsp;Anwar Ghauche at Spark Cognition about how to maximize a smaller data science team at a financial institution, how AI and alternative data is being used for quantamental investing, and how AI is automating some financing and underwriting processes.

How to Maximize ROI From AI in Finance: Banking, Investing, and Insurance

This month, we focus on the ROI of AI, and our guest this week is Sankar Narayanan, Chief Practice Officer at Fractal Analytics, a unicorn company in Bangalore. In this episode, Narayanan discusses how to measure the ROI of AI in ways that aren't just financial return. In addition, he provides examples from his hands-on experience implementing AI to provide business leaders with ways of thinking about success when it comes to AI projects. For more on measuring the ROI of AI, learn about our newest report Getting Started With AI: Proven Best Practices of AI Adoption - emerj.com/a1

How to Measure the ROI of AI - With Sankar Narayanan of Fractal Analytics

This week, we spoke with David Carmona, the GM of Artificial Intelligence at Microsoft, about his approach to AI ROI with the enterprise clients of Microsoft. The biggest takeaway from this episode comes right at the beginning. David talks about how to think about artificial intelligence ROI in the long-term and the near-term. That is to say, how are we going to see a relatively near-term return with AI that might be able to improve our condition while keeping in mind the longer-term disruption in our industry? Download our "Beginning with AI" PDF guide: www.emerj.com/beg1

A Framework for Long-Term and Near-Term AI ROI - With David Carmona of Microsoft

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.

How to Begin Planning an AI Strategy - With Ian Wilson

It's the final week of our month-long series on planning your corporate AI strategy. This week we speak with Shane Zabel, Head of AI at Raytheon. Shane talks to us about the phases of building an AI strategy. What are the steps? He discusses the importance of finding an AI pioneer at a company who can build some initial ideas of what AI use-cases could be viable at the company. If you're in the process of analyzing AI use-cases for your company or clients, we created a guide for this exact topic. Learn more about it at emerj.com/t3.

The Phases of Building an AI Strategy - With Shane Zabel of Raytheon

Discover how AI may shift the workflows and approaches to trading as we interview Ash Fontana, managing director at Zetta Venture Partners, a Silicon Valley-based venture capital firm focused on AI-first companies with B2B business models. Ash shares his valuable perspective on the present and future of AI in trading. Access Emerj's AI in Financial Services Vendor Landscape Brief here: emerj.com/vl1

The Present and Future of AI in Trading - with Ash Fontana of Zetta Ventures

Discover how to leverage the learning capabilities of AI for strategic advantage, as we interview H.P. Bunaes, former Chief Data Officer at Suntrust, now Director of Banking for Data Robot, a Boston-based startup which has raised over $400 million to innovate enterprise AI solutions. H.P. shares his valuable perspective on how strategic leaders can outmatch competition by enhancing the speed at which the organization can learn, with AI-driven technology. Download our guide "3 Keys to Thriving in the Post-COVID Automation Era": www.emerj.com/k3

How to Leverage AI-Powered Learning & Prediction for Strategic Advantage - With H.P. Bunaes

Today's guest is the great and brilliant Dr. Ben Goertzel, the man who coined the term AGI with his eponymous book, "Artificial General Intelligence." Dr. Goertzel is known by many from his role as Chief Scientist of Hanson Robotics, where he lead the creation of Sophia, the first robot to be granted national citizenship. Dr. Goertzel founded OpenCog, an open-source software framework for AGI. He also founded SingularityNET, a decentralized marketplace for AI algorithms. Episode topics include: Dr. Goertzel's optimistic vision for AGI's future, how it might be born, and why decentralized frameworks may offer the most fertile ground for AI evolution. Dan and Ben first met in 2012, and we're grateful to Ben for keeping up the conversation. No series on the Future of AI would be complete without him.

[AI Futures] Creating Decentralized Artificial General Intelligence - with Ben Goertzel of SingularityNET (S1E11)

Emerj.com is where business leaders turn to understand how AI is impacting their business and industry - and what to do about it.

Our objective, jargon-free research and industry overviews are designed to give executives and decision-makers exactly what they need for competitive insight, informed AI technology procurement and strategic planning around AI.

AI disruption will open up new vistas for opportunity, creating new business paradigms and making others extinct. 

Emerj market research helps leaders survive and thrive in an era of AI disruption.

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