Learn what's possible and what's working with artificial intelligence in business today.Each week, Emerj founder Daniel Faggella interviews top AI and machine learning-focused executives and researchers in industries like Financial Services, Pharma, Retail, Defense, and more.Discover trends, learn about what's working now, and learn how to adapt and thrive in an era of AI disruption. Be sure to subscribe to "AI in Business."
Listen to Dan's interview with the great and brilliant Dr. Derek Wang, CEO and Founder of Stratifyd. Dr. Wang's AI-powered analytics company has raised $50 million+, enabling enterprise companies to transform structured and unstructured human textual data from a unified platform. Episode topics include: a view of analytics for financial services before and after transformation for machine learning, the maturity landscape from retrospective dashboards to predictive analytics, and Derek's hard-won lessons from new implementations. Want to discover the core AI use cases driving transformation in Financial Services? Get Emerj's FS Cheat Sheet: emerj.com/fin1
Today I'm excited to welcome back the great and brilliant Peter Voss, founder/ CEO/ Chief Scientist of Aigo.ai and AGI Innovations. Peter is one of the world's most prominent minds in the Artificial General Intelligence (AGI) space. Peter collaborated and contributed to AGI work with Ben Goertzel, which resulted in the eponymous book, Artificial General Intelligence, and Shane Legg, now Chief Scientist at Google's DeepMind. Episode topics include: potential futures for AI capabilities and legislation, and what it means to prepare for an AI boom. Peter's first podcast appearance was back in 2013, and I've had the pleasure of swapping ideas with him about his work and publications over the years since. He's an essential mind in this space, and I'm grateful to have him back as a contributor to this series.
Mark Ewing, Sr. Technologist and Architect at Eastman Chemicals, emphasizes identifying key leverage points for AI as foundational for successful and profitable AI adoption in the enterprise. He asserts that the challenges of high engineering and adequate staffing are made easier with clear and compelling opportunities in scope for executives. Eastman has delivered specialty chemicals for over 100 years, earning over $9 billion in revenue for 2019. We're grateful to learn from his highly valuable perspective atop Eastman's formidable presence in the industry. Aiming to transform your organization's capabilities for AI readiness? Download Emerj's guide: emerj.com/beg1
Today I'm excited to share a conversation with Mark Gazit, CEO of ThetaRay. This New York-based fintech firm raised over $80 million to expand threat detection solutions to critical infrastructure, financial institutions, and other verticals. Mark speaks about where AI is enabling new capabilities in compliance and fraud detection, shares valuable insights for successful AI deployments, and risk management lessons that translate to other industries. Want to apply AI in finance? Download Emerj's AI in Financial Services Cheat Sheet: emerj.com/fin1
Today I'm excited to welcome back long-time friend and alumnus of the podcast, Dr. Roman Yampolskiy. Roman is Director of the University of Louisville's Cybersecurity Lab. He has authored four books and many more academic publications about AI, cybersecurity, AI safety, and other areas of computer science. This discussion jumps off from ideas in his most recent book, "Artificial Superintelligence: a Futuristic Approach," and unpacks further-out AI futures, exploring possibilities and challenges pertaining to AI governance, artificial general intelligence, and more...
Priya Rajagopalan, Chief Product Officer of FourKites, shares how to leverage AI for a real competitive advantage. FourKites has raised over $100 million in venture capital to build an end-to-end supply chain visibility platform that major global companies use to track and manage freight. This conversation sheds light on how emergent intelligence is disrupting even the world's most stable and traditional industries. Enterprise strategy and innovation leaders may glean valuable insights from this example. Want to discover more case studies and insights? Explore Emerj's AI Best Practices Library: emerj.com/p1
Dr. Tanushree Luke, Head of AI at US Bank (USA's 5th largest bank), shares pragmatic opportunities for improving customer experience in banking, by learning from customer interactions. For example: how to prompt users with the right features and services to predict needs and solve problems more effortlessly. Dr. Luke earned her Ph.D. in Theoretical/Mathematical Physics and MS in Physics and Applied Engineering from George Mason University. Previously she served as the Head of Predictive AI and Machine Learning for Capital One's Conversational AI Platform. Dr. Luke also served as Technical Lead for the Department of Defense/DARPA Network Defense Program and held leadership roles at companies supporting the Department of Homeland Security and the Department of Energy. Want to learn more about AI opportunities in banking? Download Emerj's AI in Banking Cheat Sheet: emerj.com/cs1
Our AI Futures series aims to share perspectives from those pushing the boundaries of technology, and this episode's discussion steps toward farther-out potential futures. Before founding the US Transhumanist Party, Zoltan earned a degree in Philosophy & Religion from Columbia University, worked as a reporter for National Geographic, and served as a Director for WildAid (a nonprofit protecting endangered species). In recent years, he's shifted his focus to authorship, speaking, and activism, with a focus toward the long-term future for humanity. His book, "The Transhumanist Wager," is an Amazon best-seller. This episode dives into perspectives pertinent to the future of AI governance e.g. dynamics of the USA-China AI race, the "winner-take-all" potential for powers controlling artificial general intelligence (AGI), and China's potential rise in an environment with fewer regulations and hurdles for transformational technologies like AGI, gene editing, and neurotech.
Manny Medina, CEO and co-founder of unicorn startup Outreach.io, shares wisdom from the trenches of AI adoption. We're excited to have him on for many reasons - to celebrate his success (Outreach's valuation recently surpassed $1 billion), exemplify how AI early adopters are disrupting Industry, and learn from his real-life journey of AI adoption. He shares how he thought about potential leverage points for AI, the kinds of experiments necessary to test these opportunities, what Outreach learned the hard way, and what they feel like they're getting right. Before Outreach, Manny was employee number three on Amazon's AWS team and led the Microsoft mobile division from launch to $50M in annual revenue. He holds an MBA from Harvard and a Masters in Computer Science from the University of Pennsylvania. Outreach is a sales engagement platform that accelerates revenue growth by optimizing every interaction throughout the customer lifecycle. The platform manages all customer interactions across email, voice and social, and leverages machine learning to guide reps to take the right actions. Customers include Cloudera, Glassdoor, Pandora, Zillow. This episode was inspired by Emerj's community, requesting more tales and lessons learned from successful AI implementations. What else do you want to hear? We'd love your feedback and ideas. Get engaged with Emerj Plus: emerj.com/p1.
Nicholas Pilkington, CTO and Co-Founder of DroneDeploy, breaks down drone technology trends and dives into some powerful use cases in heavy industry. Notably, drones are transforming best practices for equipment maintenance monitoring by using computer vision. Nick goes into great detail about the process improvement opportunities in this space and shares valuable insights about the trajectory of drone technology capabilities. To date, DroneDeploy has raised 90+ million dollars for its cloud-based drone mapping and analytics platform, which enables capabilities such as automated flight safety checks, workflows, and real-time mapping and data processing. Industries adopting this technology include: agriculture, real estate, mining, construction, and many other commercial and consumer arenas. DroneDeploy is compatible with any drone. Want to learn 3 ways to find AI trends in any sector? Download Emerj's free pdf: emerj.com/t3
Ben Garfinkel is a Research Fellow at Oxford's Future of Humanity Insitute (FHI). In this episode, he breaks down key issues central to the near-term formation of good AI governance, such as: the comparative advantages of centralized vs decentralized governance structures, the influence of big tech on governance, etc. He does a great job of presenting the possibilities in clear and objective terms for consideration. We're grateful for Ben and FHI's seminal and leading contributions to AI governance, and - writ large - we suggest that our listeners and clients take heed and engage with the important work manifesting from FHI's brilliant minds. Ben is a DPhil student at Oxford’s Department of Politics and International Relations. He previously earned a degree in Physics and in Mathematics and Philosophy from Yale University. FHI is a multidisciplinary research institute at the University of Oxford. Academics at FHI bring the tools of mathematics, philosophy and social sciences to bear on big-picture questions about humanity and its prospects. The Institute is led by Founding Director Professor Nick Bostrom, author of "Superintelligence".
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
Glen de Vries cofounded Medidata in 1999, offering SaaS-based clinical development solutions addressing the functioning of customers' clinical trials, and 20 years later the company - which he still leads - sold to Dassault Systemes for almost $6 billion. What a triumph, Glen! Thank you for joining the podcast. Listen in as Glen shares his unique and valuable perspective on the current state and potential futures for the data ecosystem in Life Sciences. Want to stay on the cutting edge of emerging data-driven technologies? Try out Emerj Plus: emerj.com/p1
Today's interview is with, Konstantinos Karachalios, Managing Director of the Institute of Electrical and Electronics Engineers Standards Association (ieee.org). Konstantinos earned a Ph.D. in Energy Engineering (nuclear reactor safety) from the University of Stuttgart. Before IEEE, Konstantinos played a crucial role in international scenario simulation for large-scale nuclear reactor accidents. And with the European Patent Office, his experience included establishing EPO’s patent academy. For 100+ years, the IEEE has developed global standards for bleeding-edge technologies like nuclear power, blockchain, nanotech, systems engineering, and many more. Emerj is a big supporter of the IEEE's AI standards for "Ethically Aligned Design", and in this talk, we speak about what's happening in the early stages of AI standards and policy formation around the world.
In this podcast Joel Minnick, AI & ML Strategy Leader at Amazon Web Services (now VP at Databricks), shares his valuable perspective on what defines "AI Readiness" for large enterprises. Want to discover how to pick high-ROI projects? Explore Emerj's flagship Research and Strategy Services: emerj.com/aiol
Today, Peter Durlach, Senior Vice President of Nuance Communications, joins the podcast to discuss important and timely opportunities for AI in Healthcare. Peter shares how enhancing and automating key elements of physician workflows with intelligent solutions can ease the workload and reduce burnout among physicians. Want to discover more AI trends? Explore Emerj's 4-page Guide: emerj.com/t3
In June 2019, the G20 adopted human-centered AI Principles that draw from the OECD Principles on AI. Emerj was invited to Paris to collaborate with the OECD's AI Governance efforts, and today we're excited to share this interview with Karine Perset, Economist and Policy Analyst at the OECD's AI Policy Observatory. She speaks about the role of principles in the formation of national legislation, international governance, and shares how leaders can nudge the evolution of powerful technologies like artificial intelligence, to steward a safe and abundant world.
Today's guest is Sankar Narayanan, Chief Practice Officer at Fractal Analytics, a unicorn company in Bangalore. Sankar's last interview with Emerj was last year's most popular episode: "How to measure the ROI of AI". We're excited to share more of Sankar's insights in this episode, with a special focus on how to deploy and position AI pilot projects for momentum that leads to bigger and better projects. For more insights gathered's from global AI leaders like Nick Bostrom, Stuart Russell, and Ben Goertzel, check out Emerj Plus - emerj.com/p1
Today we kick off the first in a series of discussions about AI in Europe with Martin Musiol, Sr. Data Scientist at IBM. Martin is a member of IBM's Technical Expert Counsel, and in this episode he speaks about what makes the European ecosystem different, providing what may be a peak ahead for other nations following Europe's leadership regarding regulation and data-sharing. Learn more with Emerj's Beginning with AI Guide: emerj.com/beg1
In this first episode in our 12-part Saturday "AI Futures" series, UC Berkley Professor and renown AI expert Stuart Russell shares his perspectives on the near and long-term considerations of AI governance. https://emerj.com/ai-podcast-interviews/stuart-russell-ai-governance/ Visit the blog post for this article, and subscribe to the podcast on your favorite podcast platform. From June 27th to September 12th, we'll be covering a new "AI Futures" episode about AI governance every Saturday. This is an experimental series designed to extend current AI trends to long-term AI consequences. We hope you'll enjoy.
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
Today's guest is Jim Barnebee, VP of AI and Infrastructure at GetSwift, a public company that has raised $143 million to bring AI to the world of Delivery - with a smart platform enabling driver management, dispatch tasks, and tracking in real-time. Jim highlights the 2 areas where he thinks logistics will be impacted the most, breaks down hurdles to successful AI deployment, and discusses multiple promising use cases. Emerj has assessed over 80 AI vendors in the logistics and supply chain space. Learn more about Emerj's AI Opportunity Landscape here: emerj.com/aiol
Today we interview Scott Nowson, AI Lead at PwC Middle East. Scott has a Ph.D. in Informatics, with a focus in NLP. And in today's episode, he shares his valuable perspective as well as actionable insights regarding 3 key phases for making a winning business case for AI i.e. getting sign-off, getting a valuable pilot started, and getting deployment rolling in the right direction. Also check out Emerj's guide: Practical Steps to AI Deployment at emerj.com/beg1
In this episode, we interview Yaron Lavie, VP of Products at Earnix. Yaron breaks shares powerful insights about how AI can be leveraged for customizing financial service products, as well as for other use cases in insurance and banking. For quick and valuable insights, download Emerj's AI in Insurance Cheat Sheet: emerj.com/ins1
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 our guest is Nayeem Islam, CEO of Blue Hexagon, a bay-area cybersecurity firm that has raised $37 million+ for innovation in expansion. This episode focuses on AI applications for cybersecurity in Retail. For a quick breakdown, check out Emerj's AI in Retail Cheat Sheet: emerj.com/ret1
Discover how to nurture alignment that closes AI deals, as we interview Tim Estes, Founder & CEO of Digital Reasoning, an American AI company that raised over $130 million to bring cognitive computing services to intelligence agencies, financial institutions, and healthcare organizations. Whether selling or buying, technology leaders need to ask the right questions before purchasing or implementing AI solutions. In this episode, Tim offers his valuable perspective on how to match AI solutions with real business problems, how to estimate and quickly calibrate ROI, and how to effectively communicate with decision-makers. Discover our full range of high-ROI use cases for AI with Emerj Plus: emerj.com/p1
This week we interview Gary Swart, Partner at VC firm Polaris Partners, former CEO of oDesk (now UpWork, NASDAQ;UPWK), the world’s largest online service marketplace. Gary’s portfolio includes investments in innovative medtech and pharmaceutical companies. And in this episode, he shares his valuable perspective on how the pandemic may transform the opportunity landscape, at the intersection between AI and Healthcare technology. Discover our full range of high-ROI use cases for AI with Emerj Plus: emerj.com/p1
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. What will separate winners from losers in the new economy? Discover 3 keys with Emerj’s Guide here: emerj.com/k3
Discover how AI is transforming procurement as we interview Edmund Zagorin, founder of a bay-area, venture-backed startup called BidOps. Edmund shares his valuable perspective about what the future of AI in procurement looks like and how it ties into the broader landscape of logistics and supply chains. Learn more about how to make the business case for AI in the enterprise: emerj.com/p1
This week we interview Stephan Pawlowski, VP of Advanced Computing Solutions at Micron, a $20 billion computing company based in America's Midwest. Stephan breaks down the necessary components for AI readiness, sharing pragmatic insights about the AI hype cycle and its relationship to real value for businesses. Download our PDF guide "3 Ways to Discover AI Trends" at: emerj.com/t3
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
This week we interview Gary Swart, Partner at VC firm Polaris Partners, former CEO of oDesk (now UpWork, NASDAQ;UPWK), the world’s largest online service marketplace. In this episode, he offers a pragmatic perspective about opportunities and challenges for AI adoption in the current economic climate. Discover our full range of high-ROI use cases for AI with 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".
When it comes to AI, the EU is known more for its regulation than its innovation, but it might not have to be that way. This week, Cedric O, French Secretary of State of the Digital Economy, shares his thoughts about balancing the preservation of values and rights with the prosperity and opportunity of new technology. If you sell AI-related produces or services, and want to find opportunities to sell into the US government, learn more about our "Public Sector AI Opportunity Report" at emerj.com/gov1. This interview took place in Paris at OECD headquarters. Thank you to the OECD for arranging this interview and providing a recording room.
Every six months, the landscape of AI vendors and enterprise use-cases is shifting. This week, Gary Hagmueller of Clara Analytics shares his perspective on the kinds of tasks and processes most rip for AI transformation in insurance - with examples and explanations that any businessperson can understand. Stay ahead of insurance AI innovation with our PDF white paper "AI in Insurance Executive Cheat Sheet" - download your copy: emerj.com/ins1
Ryan Smithright is a Research Fellow at Emerj Artificial Intelligence Research, and the lead author in our latest "US Public Sector AI Opportunity Report" (learn more at emerj.com/gov1). Ryan spent months investigating and documenting the various AI initiatives, budgets, and strategies for different branches of the US government, and in this interview he breaks down some surprising trends and data snapshots from the complete report. Anyone with an interest in selling AI to the US government should get a lot out of this unique episode.
Chatbots are a hot topic, but it's just the tip of the iceberg in terms of the broader evolution of the customer experience. This week we're joined by Suhas Uliyar, VP of Digital Assistant AI & Integration at Oracle. Suhas breaks down key areas of user experience change, and how AI is helping (or could help) to usher in that transformation. If you're new to chatbots and NLP applications, download our "Unlocking the Business Value of NLP" PDF guide: www.emerj.com/nlp1
Emerj CEO Daniel Faggella recently spoke at the OECD headquarters in Paris for the creation of their AI Policy Observatory. At the event, we spoke with this week's guest: Lynne Parker, Deputy Chief Technology Officer at the White House Office of Science and Technology Policy. Lynne talks to us about what the US is doing with AI currently at a national level and what the country's priorities are when it comes to AI. This interview is made all the more relevant by the fact that the private sector is freezing up due to the coronavirus. Meanwhile, the public sector is still spending money on AI and innovation. If you want to learn what the opportunities are for vendors and service providers that want to work with the US government, get our US Public Sector AI Opportunity Report at emerj.com/gov1.
Small companies and enterprises alike are drastically changing their AI strategies in response to the coronavirus. This week, we talk about what it looks like to develop an AI strategy the right way during these disruptive times. We interview Joel Minnick, Head of Marketing for AI at Amazon Web Services . Joel breaks down his take on how AI can be used to competitive advantage and why an AI strategy is the foundation of that advantage. If your company is just getting started with AI strategy, be sure to download our Beginning With AI guide at emerj.com/beg1.
In this episode, we focus on digital twins and how AI will impact the future of manufacturing. Our guest is Laurent Laporte, CEO of Braincube, a company focused on AI In manufacturing. This episode is sponsored by Braincube. For more information on sponsorship opportunities, visit emerj.com/advertise.
Although the insurance industry doesn't get as much press about its use of AI as banking, the AI applications large insurance carriers are developing are no less transformative to core processes. This week, we speak with Tom Harrington, the head of the insurance wing at Pegasystems. Tom talks about how automation and AI are making their way into different insurance processes today and how they will change the way employees at large insurance carriers work. If you're interested in discovering best practices for AI adoption and deployment, consider joining our Emerj Plus membership at emerj.com/plus.
Supply chains are frozen, teams are working remote, and sales cycles are unpredictable. This week, we interview Paul Noble, CEO of Verusen, an AI-enabled logistics company. Paul discusses the impact of AI on supply chain and logistics and the new AI capabilities that will be all the more relevant in a post-coronavirus world. Paul also reviews some of the key themes from our AI Business Continuity Action Plan, which comes complimentary with Emerj Plus, including critical ideas about how business leaders can make their business disaster proof. Learn more about the report and Emerj Plus at emerj.com/ap1.
This week, we speak with Liga Semane, Policy Advisor at the European Banking Federation, about how tech priorities for business leaders in financial services are shifting right now because of the coronavirus crisis. Liga shares some of her best ideas about business continuity and risk, as well as some of her experience witnessing the reaction from global European banks and their priority shifts in AI projects and initiatives. This is one of dozens of interviews we've put together for our latest report, the AI Business Continuity Action Plan. It will eventually be offered for sale, but we are currently giving it away free with a subscription to Emerj Plus. Learn more and get the report at emerj.com/ap1.
In this episode, we speak to Saurabh Suri, CIO and managing partner at CerraCap Ventures, about building AI products for the enterprise. Saurabh discusses what he's seen work and not work across his portfolio of AI investments when it comes to their interface with the enterprise. We talk about the challenges that come with not only building a product but actually deploying it in the enterprise. If you want to learn more about how we discover which you can do so at emerj.com/aiol
When it comes to applying AI in the enterprise, it's useful to get the perspectives of companies that have bought AI products before. But it's also useful to get the perspective of companies that have sold AI. They have an idea of what it's like when a company buys AI for the wrong reasons and when a company buys AI for the right reasons. This week we speak with Don Vadakan, Head of Sales at Fractal Analytics. He gives his advice for vendors and service providers that are selling AI in the enterprise, including how to attract attention from potential buyers the right way. His advice is also applicable to enterprise leaders thinking about working with vendors. If you're selling AI into the enterprise, be sure to download our B2B AI Lead Generation Guide at emerj.com/b2b1
This week, we interview Marsal Gavalda, Head of Machine Learning at Square. Marsal gives his take on how to leverage AI for competitive advantage. Specifically, he talks about the elements of culture and teams. If you want to to build a company culture in which teams can leverage AI in a nimble fashion and wield it in different areas of the business, Marsal's advice will be useful. If you're looking to get started with AI at your company, download our Beginning With AI Guide at emerj.com/beg1.
This week on the newly rebranded AI in Business Podcast, we speak with Rashida Hodge, VP, Insurance Industry at IBM, about buying and selling AI in the enterprise. If you are someone at a big company looking to buy AI, you're going to learn a lot about what to do and what not to do in this episode. If you're looking to sell AI to the enterprise, you will learn how to avoid wasting time and money without gaining traction in the enterptise. If you are selling AI, be sure to download our B2B AI Lead Generation Guide, a 7-page PDF put together for vendors at emerj.com/b2b1.
This week, we dive into how AI is evolving personalization as we now know it. Brian Walker is Chief Strategy Officer at Bloomreach. He speaks with us about how Personalization works today in retail and how it will work tomorrow. He also discusses how AI can add additional context to the user's experience and how it can allow companies to make stronger calls to action. If you're interested in more AI use-cases in retail, be sure to download our AI in Retail Executive Cheat Sheet at emerj.com/ret1.
In this special bonus episode of the podcast, Emerj spoke with Dileep George, co-founder of AI company Vicarious, which has raised over $100 million in venture funding, for Kisaco Research's AI Hardware Summit in Europe, which takes place March 10 - 11 in Munich, Germany. We spoke with Dileep about the unique requirements and considerations for adopting AI in robotics use-cases, as well as where AI-enabled robotics will play a role in business in the new decade.
This week, we explore a novel use-case of AI in marketing: copywriting. Can AI write a better email subject line or social media post than a human being? Sometimes, the answer is yes. We interview Parry Malm, CEO of Phrasee, an AI company that got its start optimizing email subject lines with AI. Parry speaks with us about this particular AI capability and how it will impact the future of marketing. If you have an interest in discovering more about the AI use-cases in your industry, watch the 2-minute video about our AI Opportunity Landscape Service at emerj.com/aiol.
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 March 10 - 11 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.
Personalization is an area that is going to move fastest in retail and will spin out into other industries from there. This week, we interview the CTO of a company that does exactly that: Tyler Foster of Evolv.ai. Typer gives his perspective on what personalization can do today and where AI will make its way into the future of retail. Download our AI in Retail Executive Cheat Sheet, a short collection of AI use-cases in retail and a rundown of AI-related terms in retail at emerj.com/ret1.
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.
This month on AI in Industry, we focus on AI in retail and eCommerce. Our first guest is Guru Hariharan, CEO of CommerceIQ. Guru shares his thoughts on the current impact of AI on retail and eCommerce today, including in sales, marketing, and supply chain. We've recently put together our AI in Retail Executive Cheat Sheet, an overview of prominent AI use-cases in retail and eCommerce. Also included is a glossary of key terms businesspeople in retail need to know to navigate the AI conversation in their industry. Download it at emerj.com/ret1.
Our guest this week is Dr. Charles Martin of Calculation Consulting, a bit of a mentor of mine when it comes to AI in the enterprise. He understands a lot of the ups and downs of what it takes to apply AI in business. He speaks with us this week about how to determine your vendor needs. Are you looking for a consultant? A specific vendor? Are you looking to partner with a vendor? Figuring this out right off the bat might be the easiest way to save money and time. If you're picking a vendor for your company or for your clients, be sure to download our free pdf guide on the topic: 5 Ways to Select the Right AI Vendor
Our guest this week is Gaurav Srivastava, CTO at Fareye, an AI company in the logistics space. Gaurav talks about which elements of the existing procurement procedures in the enterprise can stick around and which need to be different when it comes to shopping for AI and looking for new AI solutions. He talks about demos, pilots, social proof, and troubleshooting some of the potential issues that come up when looking for the right AI vendor. If you haven't already downloaded our PDF guide, 5 Ways to Select the Right AI vendor, you can do so at emerj.com/buy1
We continue our theme this month on buying and procuring AI in the enterprise with this week's guest: Shane Zabel, Head of AI at Raytheon. Shane has seen plenty of internal AI applications and heard plenty of AI vendor pitches. As such, he has some simple and succinct advice for picking an AI vendor that he shares with us on this episode of AI in Industry. If you haven't already, download our free PDF guide: 5 Keys to Selecting the Right AI Vendor at emerj.com/buy1
It's our first AI in Industry episode of the decade. January's theme is on buying and procuring AI in the enterprise. Many of our readers at Emerj want to know which vendors and use-cases are legitimate and which are riding the hype. When it comes to picking an AI vendor, that knowledge is critical. Our guest this week is Pranay Agrawal, CEO of Fractal Analytics. Pranay shares some of his advice on the technical and cultural considerations for finding the right vendor partner. If you're interested in learning more about working with an AI vendor, we've created a quick PDF guide called 5 Keys to Selecting the Right AI Vendor, which you can download at emerj.com/buy1.
We've touched on a lot of different kinds of expertise in this month-long series on using AI for competitive advantage. We end things by speaking with someone from the startup world: Adam Oliner, Head of Machine Learning at Slack. He speaks with us about building a data moat around your business when it comes to building AI solutions in-house. He puts the overall theme for leveraging AI for competitive advantage very succinctly. If you're just getting started with AI in your business, be sure to download our succinct guide to adopting AI, Beginning With AI, at emerj.com/beg1.
This week, we speak with Ylan Kazi, VP of Data Science and Machine Learning at UnitedHealth Group. Ylan speaks with us about his take on how AI can be leveraged for competitive advantage, including how to build a "flywheel" of data and build on critical capabilities for adopting AI in the enterprise. If you're at an existing business and looking to get started with AI, be sure to download our free report, Beginning With AI, at emerj.com/beg1.
This week, we speak with Abigail Hing Wen, Co-Chair of the Fairness, Transparency, and Accountability Expert Group, Machine Learning Transparency. We discuss which AI capabilities actually have the most traction in terms of the science. Most importantly, Abigail talks about how business leaders can wield these promising capabilities in their industries. If you're interested in getting started with AI capabilities, be sure to download ur free Beginning with AI report at emerj.com/beg1.
This week on AI in Industry we continue our theme of focusing on "The Competitive Advantage of AI." Babak Hodjat shares his insights about critical decision-points within a business, and how to leverage them to find high-ROI AI opportunities. Download our free PDF report titled "3 Ways to Discovery AI Trends in Any Sector": emerj.com/t3
This month's theme is on using AI for a competitive advantage. We speak first with Monika Wilczak, Managing Director of AI at EY. Monika speaks to us about how large companies can start to get an edge over the competition by leveraging AI, emphasizing how companies can get started with gaining that advantage. If you're looking for areas of AI opportunity, be sure to download our "3 Ways to Discover AI Trends in Any Sector" report by going to emerj.com/t3.
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.
This week, we speak with Scott Nowson, AI Lead at PWC Middle East, about the critical capabilities nontechnical business people need to understand to be able to advance their career and apply AI in their industry even if their company hasn't started with AI yet. Scott has an uncanny ability to convey business lessons on AI, and he's one of the few people who got our full Getting Started with AI report before today's formal launch. The report is finally open, and in it, listeners can find the must-know knowledge that will allow you to take your AI interest and turn it into real career opportunity without learning any code. Listeners can learn more about it at emerj.com/a1
In this episode, we speak with Adam Bonnifield, VP of AI at Airbus, one of the youngest executives at the firm. He talks about how to think about starting a corporate AI strategy, which for him entails beginning with the data assets. Adam thinks through how to take account of those assets and what kinds of people need to be part of the conversation to unlock the most fruitful AI applications in an established company.
This is a special bonus episode of AI in Industry about advancing your career in the era of AI, specifically for non-technical professionals. If you don't want to learn to code but still make yourself tremendously valuable in the era of AI, this episode is for you. We put together a report on this topic that will be coming out this month, all about getting started with AI in business for nontechnical professionals. Interested listeners can go to emerj.com/c1 to learn more. This week, we have Germán Sanchis-Trilles on the podcast. He's one of our technical advisors, well-schooled in natural language processing, and extremely experienced in applying AI in business. In this episode, he reviews some of the key themes from our upcoming report, including critical ideas about how nontechnical professionals can involve themselves in AI while at work.
This week, we speak with Carlos Escapa, Global AI and ML Practice Leader for Amazon Web Services. Carlos speaks with us this week about starting an AI strategy with a more practical approach. Instead of thinking about how to radically reshape a key part of your business with AI or use AI for AI's sake, Carlos talks about instead thinking about where AI fits in with what your business is already doing. He provides some thought experiments to run through for thinking through this and how to get started with AI.
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.
This is our final episode in our series on advancing your career in the era of AI this month. We had more Linkedin messages on this theme than any we've done before, and it got me excited to think about what we could do with this kind of series in the future. In this episode, we distill the insights from this month's series with insights from our broad catalog of interviews with AI-minded executives throughout the many years doing this podcast. We also cover three AI-related career roles that do not involve coding.
We continue our theme on advancing your career in the era of AI. This week, we speak with another AI lead from a gigantic IT services firm: Cognizant. Bret Greenstein is Head of AI at Cognizant, and he talks about what folks who think about AI in terms of strategic direction, project management, etc., have in common. Brett also discusses how non-technical folks can think about AI in order to take on leadership roles in AI projects, including having a firm understanding of what is possible with AI in their industry.
This week, we speak with Sriram Ramanathan, CTO at Genpact, about what the important non-technical roles exist for making AI work in the enterprise. Everything from project management to quality control and beyond, Sriram lists out areas where nontechnical experts play a critical role in bringing AI to life.
If you're listening to this podcast, you at least have an interest in leveraging AI in the enterprise. But how do you take that interest and use it to move up in your company and advance your career? In this week's episode, we speak with Muriël Serrurier Schepper, who worked with AI at Rabobank and Shell managing advanced analytics projects. She now has her own AI consulting firm. Muriël speaks with us about her experience using her prior skillset to enter the world of AI, take the reigns of exciting AI projects, and open up more career opportunities for herself.
In October, we're focusing on how non-technical employees can still gain an edge in the era of AI even if they've never learned any code. I can't think of a better guest off the bat than our quest this week: Wijay Wijayakumaran, Chief Architect of Machine Learning and AI at IBM Australia. Wijay emphasizes how much stock he places in the critical importance of subject-matter experts and business leaders with domain knowledge. He also runs through possible career opportunities that non-technical employees can look for in the era of AI and questions they can ask to get more involved with AI projects at their organization.
This is the final episode of our series on the ROI of AI. This week is the monthly analyst call, in which Emerj CEO Daniel Faggella breaks down some of the key themes from this month's interviews. In particular, Daniel puts a large emphasis on connecting the dots between near-term and long-term ROI. A lot of these themes and core questions are discussed and answered for clients of our AI Product Development Roadmap services.
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?
It's clear that there's a revolution in how artificial intelligence is done with neural networks as opposed to the old school systems of the '80s and the '90s. It's clear that hardware is beginning to evolve, and it's also quite clear that the way that we power these hardware systems is going to have to change. GPUs and AI hardware are tremendously power-intensive, and this week we speak with Robert Gendron of Vicor Corporation, a company focused on powering AI systems. Vicor is in partnership with Kisaco Research, which is putting on the 2019 AI Hardware Summit September 17 and 18 in Mountain View, California. Robert speaks about why the way that they are powered needs to be different than traditional manufacturing equipment. He also discusses how the powering of these systems need to work if businesses want to reduce energy costs and be as efficient as they can when it comes to AI.
This week, we have a bonus episode. We spoke with Jonathan Ross, CEO and founder of Groq, an AI hardware company, about software defined compute. Groq is in partnership with the AI Hardware Summit happening n Mountain View, California on September 17 and 18. Software defined compute is a way of thinking about how compute can be optimized for machine learning functions. Ross talks about some of the pros and cons of GPUs and where software defined computer might make its way into future machine learning applications.
This week, we speak with Dr. Charles Martin of Calculation Consulting. He's a bit of a mentor of mine when it comes to AI knowledge. Charles speaks to us about the pitfalls in getting to ROI, particularly the cultural elements within enterprises that make it so hard to get a return from AI projects. Charles and I tend to go off in a variety of directions when we talk—he's an animated guy—so be prepared for that. But I think this is an awfully fun episode of the podcast. For more on the fundamentals of getting started with AI in business, learn more about our newest report: Getting Started with AI: Proven Best Practices of Adoption.
We have a bonus episode this week. We spoke to Moe Tanabian, General Manager of Intelligent Devices at Microsoft, who is speaking at the AI Hardware Summit in Mountain View, California on September 17 and 18. Tanabian discusses how to think about and reframe business problems to make them more accessible for AI, as well as AI at the edge, which involves doing AI processing on individual devices rather than in the cloud. The edge could open up new potential for business problems to be solved with AI. Tanabian also provides representative use cases of intelligent devices.
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.
This is the final episode in the month-long series on getting started with AI. In this episode, Emerj CEO Daniel Faggella breaks down the key insights from all four of this month's interviews, distilling them into core best-practices for getting started with artificial intelligence in business. In addition, Daniel discusses insights from our newest report: Getting Started with AI: Proven Best-Practices for AI Adoption
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.
This week, we speak with Jan Neumann, Senior Director of Applied AI Research at Comcast. Comcast is an enormous company; it has lots of data, lots of application areas for AI, and a lot of opportunity for confusion about AI. As such, Neumann speaks with us about scaling AI expertise in the enterprise. Neumann talks about a very strong distinction between software and AI and how to think through problems to determine whether or not it's a software problem or an AI problem. He also talks about scaling the problem-solving abilities of business experts in the organization. Lastly, Neumann talks about his ideas for how to determine a first AI initiative.
This week we speak with David Carmona, General Manager of AI at Microsoft. Carmona discusses how redefining a business process is a very different kind of AI adoption project than working on something that is horizontal. He discusses how to attack both of these scenarios, which to handle first, and why. In addition, Carmona talks about proprietary data and things that are close to your own IP. How do you take advantage of the real strategic data value within your own organization? How should you be thinking about that differently? Carmona poses three different questions to determine where those valuable opportunities are for you.
It's the first episode of the new style of AI in Industry, in which we spend a month at a time on a specific theme. This month is AI adoption. This week we speak with Vlad Sejnoha at Glasswing Ventures, an AI-focused VC firm. Sejnoha spent many years as the CTO at Nuance Communications. He talks to us about the table stakes AI insights the C-suite have to know and the dangers of relying entirely on consulting firms and vendor companies for these insights. In addition, Sejnoha discusses the need for a "BS-o-meter" for when someone is making a claim about AI to determine if it's real or hype. Lastly, Sejnoha discusses how he would go about choosing a first AI project.
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.
When we polled our audience about what they were interested in, the most selected response was "business intelligence." As a follow-up, we asked them what business intelligence meant to them, and their responses boiled down to anything about understanding the data businesses are already collecting. That kind of broad definition gets to the heart of the confusion surrounding the differences between business intelligence and artificial intelligence. The line is starting to get blurry. Our guest this week is Elif Tutuk, Senior Director at Qlik. Tutuk talks about how business intelligence is evolving and how we might define it now that a lot of BI is becoming AI. Tutuk discusses where AI is making its way into business intelligence and what that might enable for businesses. Read our comprehensive definition of machine learning for business leaders here: https://bit.ly/2Ya2NxK
This week, we interview Jay Budzik, CTO at ZestFinance, about where AI applies to the world of auto-lending. We speak with Budzik about how underwriting and credit scoring is evolving as a result of advances in machine learning. In addition, we talk about how companies might solve the "black box" of machine learning in finance, particularly how ZestFinance is focusing on transparent models. The financial sector has to contend with complex regulations that prevent certain information from being leveraged in credit models. It can be near impossible to determine how machine learning comes to the conclusions it does, but ZestFinance claims their software in part solves this problem.
Some say that the competitive dynamics between the US and China in terms of AI are overblown, but there's a lot of truth to them. The US has access to more of the base research, but China can orchestrate various organizations (corporations, government bodies) and secure government funding. That said, very few people talk about K-12 education and what countries are doing to prepare their future workforce for AI. David Touretzky talks to us about just that. He is a research professor in the Computer Science Department and the Center for the Neural Basis of Cognition at Carnegie Mellon University. He's heading up an initiative for K-12 education, and he discusses what countries should be doing to secure their positions and technological leadership in the 21st century.
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 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.
Building an AI strategy - there's hardly anything more vague and open-ended than that. Business leaders have probably gotten the idea that they should develop one, but where should they start? That's what we talk about this week with Charles Martin, PhD. Martin talks about how to go about starting an AI strategy, what to avoid, and the challenges and struggles of applying AI at existing businesses. Also, Martin discusses what business leaders should ignore and what business leaders should tune into and prioritize for an effective AI strategy that will propel them toward success in the coming years.
One of the best conversations I ever had on the topic of AI business strategy on the podcast was with the guest I've brought back this week: Madhu Shekar, Head of Digital Innovation for Amazon Internet Services in Bangalore. I wanted to do a deeper session with Madhu, who has seen a lot of companies go from no AI to beginning with AI, about where to start with AI adoption. How do companies build the expertise and experience with AI that lets them scale it to their organization? He also talks about how to prepare realistically for AI, including data requirements, integration times, and more.
As it turns out, often times terms like predictive analytics and data science are used incorrectly. By the end of this podcast, you'll have greater clarity on five potentially vague AI and data science terms that are sometimes overused in conversations about AI in the enterprise. This week, I introduce you to German Sanches, who focused his PhD on NLP and has done a lot of AI work in business. He also helps us with our research projects. This episode is all about addressing use-cases in reference to five terms that a lot of folks get wrong.
This week, we interview Arnab Kumar, Founding Manager, Frontier Technologies for the NITI Aayog, the wing of the Indian government focused on rolling out AI into areas like healthcare and agriculture. In this episode, we talk about critical factors for applying AI at the national level, such as where to begin applying AI and what the low-hanging fruit is for gaining traction, leverage, and data assets that are going to transfer elsewhere. We also talk about how governments, much like enterprises, need a future vision for critical capabilities they're going to enable with AI. Finally, Kumar discusses what he thinks are the most transferable lessons for the enterprise from his experience building out a national AI strategy.
Erin Knealy is the portfolio manager of the cybersecurity division of the Us Department of Homeland Security. She is the interface between the US government and the startup and tech ecosystems. We speak with her about transferable lessons from the AI use-cases in the public sector into the private sector. How does an existing organization pick the right first AI project? How should look through a lens of opportunity when it comes to AI? In this episode, we discuss how these lessons learned in the public sector can apply to the private sector.
It's curious to see how much more there is of sensor tech and internet of things than there was 18 months ago. This week, we speak with Cormac Driver, PhD and Head of Product Engineering at Temboo, an IoT vendor. We talk about how to spot AI and IoT opportunity where sensors and equipment in the physical world can actually deliver ROI and drive value for an enterprise. In addition, Cormac discusses how to get the most out of an IoT project and what's involved in terms of data and infrastructure. Finally, I ask Cormac in what sector IoT will become ubiquitous first.
There's an entire artificial intelligence ecosystem for enterprise search. Most of this is in a purely digital world. Most vendors help with a layer of AI-enabled search that understands terms or phrases and is able to return the results or answers to questions that someone types in. But the problem is compounded when it comes to searching the physical world. That is the topic of this week's episode of AI in Industry. Our guest is Anke Conzelmann, Director of Product Management at Iron Mountain. Iron Mountain is a four-billion-dollar physical and digital storage company based in the Boston area. They handle the records of some of the largest financial, health care, and retail brands around the world. IConzelmann speaks with us about the future potential of artificial intelligence for search within an enterprise, not just of digital files, but across formats.