Podcasts about techemergence

Dan Faggella is the Founder & CEO of Emerj (formerly TechEmergence) the only market research & company discovery platform focused exclusively on artificial intelligence and machine learning. He regularly speaks for audiences of businesses & government leaders, with a focus on the critical near-term implications of artificial intelligence across major sectors including presentations for the World Bank, the United Nations, INTERPOL, and global pharmaceutical and banking companies. https://danfaggella.com Twitter ► https://twitter.com/danfaggella LinkedIn ► https://linkedin.com/in/danfaggella ******* This interview is in partnership with Transformative Technology, an ecosystem dedicated to wiring humanity for the future. http://ttconf.org https://ttacademy.co https://transtechlab.org ******* Simulation is rebirthing the public intellectual by hosting the greatest multidisciplinary minds of our time. Build the future. Architect the frameworks and resource flows to maximize human potential. http://simulationseries.com ******* SUBSCRIBE TO SIMULATION ► YOUTUBE: http://bit.ly/SimYoTu ITUNES: http://bit.ly/SimulationiTunes INSTAGRAM: http://bit.ly/SimulationIG TWITTER: http://bit.ly/SimulationTwitter ******* FACEBOOK: http://bit.ly/SimulationFB SOUNDCLOUD: http://bit.ly/SimulationSC LINKEDIN: http://bit.ly/SimulationLinkedIn PATREON: http://bit.ly/SimulationPatreon CRYPTO: http://bit.ly/SimCrypto ******* NUANCE-DRIVEN DISCOURSE ► http://bit.ly/SimulationTG WATCH ALLEN'S TEDx TALK ► http://bit.ly/AllenTEDx FOLLOW ALLEN ► INSTAGRAM: http://bit.ly/AllenIG TWITTER: http://bit.ly/AllenT ******* LIST OF THOUGHT-PROVOKING QUESTIONS ► http://simulationseries.com/the-list GET IN TOUCH ► simulationseries@gmail.com

AI Technology is perhaps the most important new technology to analyze. Unfortunately, it is also one of the most difficult. Why is that the case? It is evolving fast. Additionally, latest developments in the field of AI technology are kept a bit under wraps for competitive and security reasons. To make matters more complex, folks at the top of the food chain in AI technology are often lightyears ahead of “Average Joe” when it comes to comprehension of this new technology. In other words, it would take a few years for them to explain to Average Joe what exactly is happening. Latest technology innovations must be understood. Given the idea that these new technologies are advancing the evolution of the species, it is imperative that Average Joe understand what is happening. After all, if Average Joe is going to have their life entirely disrupted by AI technology, it is fair to say that they deserve an explanation, no matter how complex. Dan Faggella is a man who has stepped up to fill that role. Through his work with TechEmergence, Dan breaks down the complexities of AI technology to share with his audience. Geared towards helping business leaders understand Artificial Intelligence in the workplace, Dan and his team interview leading experts in the AI technology space. The interviews are then transformed into detailed articles that help business owners and “Average Joes” all over the world understand exactly what is happening in AI technology news. New technology like AI is here. On this episode of the Beyond Homo Sapien Podcast, Dan and I dive into how AI technology will advance our economy and ultimately our species. If you are confused by AI technology, this is a show that will breakdown some of the common questions around this new technology and shed some help on where our species is at today. In this interview, Dan Faggella talked about two key concepts: the potential for humans to become "digitized and digested" and also the idea of job security in the age of Artificial Intelligence. To read more about those topics, check out the associated blog posts by clicking these links: Digitized and Digested: http://danfaggella.com/digitized-and-digested/?fbclid=IwAR3rKU_RaPDytaE9kv-MK5OMr-VeouxA1-TkGTY4YX1OOLlS3HDTqRkb9NU Job Security: https://www.techemergence.com/job-security-in-the-age-of-artificial-intelligence/?fbclid=IwAR0I1WxHG1_ViXA8FkiYpZQUEg39r-HAwdJuF7ku1b6y5tZPTkfiCP0bz3s Let's dive in! Want to check out the show notes and corrosponding blog post? Check it out here: https://beyondhomosapien.com/new-technology-101/ Be sure you check out everything that Dan and his team are doing at TechEmergence: https://www.techemergence.com/

Dan Faggella, the founder and CEO of TechEmergence (techemergence.com), delivers an insightful overview of the power of AI and how companies can utilize it to move their business forward. TechEmergence is a sophisticated artificial intelligence market research and media platform. Its CEO and founder is passionate about AI and machine learning and believes that the most important ethical considerations of the next three decades will be the creation or expansion of sentience and intelligence in our technology. Dan Faggella is a writer and keynote speaker. He has written for multiple publications that focus on the nexus of business and technology such as the popular Bay Area-headquartered, TechCrunch; the Boston Business Journal; VentureBeat; VICE MotherBoard, the online magazine and video channel dedicated to technology, science, and humans; as well as many other respected sites and publications. As Faggella states, TechEmergence is the platform that answers the question, “What do the new capabilities of AI mean for me?” And TechEmergence is the definitive platform that allows business leaders to better understand how AI is impacting their business and industry, and most importantly, what they should do about it. As they state, TechEmergence is the industry source for authoritative market research and competitive intelligence for the many and varied business applications of artificial intelligence. Their critical mission is to provide executives and decision-makers the knowledge that they will need to maintain competitive insight, to engage in informed AI technology procurement, as well as strategic planning that centers on AI. Faggella discusses their mission of leveraging AI for business and policy leaders, and how they deliver usable, critical information that provides valuable insight.  Fagella discusses some of the inevitable future trends that are, in his words, “almost unstoppable.” He recounts how companies often know that AI is important and is something that they should incorporate if they haven't already, but the basic tenets of what they need versus what they think they need are often quite divergent. As he states, many times whatever makes its way into tech media and creates a splash is precisely what business leaders naturally gravitate toward, though their true needs may lie elsewhere. He acknowledges that consumer interaction and chat is beneficial but that there could be other areas a business may want to engage beforehand in regard to AI. He explains how cost is a significant factor, for implementation of quality AI in a business framework requires technologists such as data scientists, time, testing, and tinkering, and therefore smaller companies might fare better to wait until their capital expenditures in the AI sector can be more robust. Fagella discusses some of the major forces of AI, such as user interface and usability, and how the needed skill level has constantly changed over the years. He states that while the implications for AI are enormous, that we are still only in an infantile stage, early phase two as he describes it. And unfortunately, the user interface of much AI that is being driven to the market is designed for those with wizard skills, so it will take some time for it to be ironed out and simplified such that the basic user can implement all that AI can offer. Fagella underscores the strong correlation between market share and large amounts of data, and how venture capitalists are excited about controlling the voluminous data that is continually being generated in the marketplace and shows no sign of slowing down.

Today we continue AI Week with Part 5 of our conversation with Dan Faggella, who's the Founder and CEO at Emerj (formerly TechEmergence). Emerj is a content network and research firm that owns the largest audience of AI focused businesses with the goal of connecting business leaders to AI solutions and services. Yesterday, Dan discussed the technology and trends marketers should approach with caution, and today we discuss how AI will shape the future of marketing. Episode Transcript Connect with: Dan Faggella: Website The MarTech Podcast: Email // LinkedIn // Twitter Benjamin Shapiro: Website // LinkedIn//  Twitter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today we continue AI Week with Part 5 of our conversation with Dan Faggella, who's the Founder and CEO at Emerj (formerly TechEmergence). Emerj is a content network and research firm that owns the largest audience of AI focused businesses with the goal of connecting business leaders to AI solutions and services. Yesterday, Dan discussed the technology and trends marketers should approach with caution, and today we discuss how AI will shape the future of marketing. Episode Transcript Connect with: Dan Faggella: Website The MarTech Podcast: Email // LinkedIn // Twitter Benjamin Shapiro: Website // LinkedIn//  Twitter

Today we continue AI Week with Part 4 of our conversation with Dan Faggella, who's the Founder and CEO at Emerj (formerly TechEmergence). Emerj is a content network and research firm that owns the largest audience of AI focused businesses with the goal of connecting business leaders to AI solutions and services. Yesterday, Dan revealed the low hanging fruit for marketers to start integrating AI, and today we discuss the technology and trends to approach with caution as businesses integrate AI into their marketing efforts. Episode Transcript Connect with: Dan Faggella: Website The MarTech Podcast: Email // LinkedIn // Twitter Benjamin Shapiro: Website // LinkedIn//  Twitter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today we continue AI Week with Part 4 of our conversation with Dan Faggella, who's the Founder and CEO at Emerj (formerly TechEmergence). Emerj is a content network and research firm that owns the largest audience of AI focused businesses with the goal of connecting business leaders to AI solutions and services. Yesterday, Dan revealed the low hanging fruit for marketers to start integrating AI, and today we discuss the technology and trends to approach with caution as businesses integrate AI into their marketing efforts. Episode Transcript Connect with: Dan Faggella: Website The MarTech Podcast: Email // LinkedIn // Twitter Benjamin Shapiro: Website // LinkedIn//  Twitter

Today we continue AI Week with Part 3 of our conversation with Dan Faggella, who's the Founder and CEO at Emerj (formerly TechEmergence). Emerj is a content network and research firm that owns the largest audience of AI focused businesses with the goal of connecting business leaders to AI solutions and services. Yesterday, Dan discussed which industries have already integrated AI into their marketing efforts, and today we're going to reveal where the low hanging fruit lies for marketers to start integrating AI into their marketing efforts. Episode Transcript Connect with: Dan Faggella: Website The MarTech Podcast: Email // LinkedIn // Twitter Benjamin Shapiro: Website // LinkedIn//  Twitter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today we continue AI Week with Part 3 of our conversation with Dan Faggella, who's the Founder and CEO at Emerj (formerly TechEmergence). Emerj is a content network and research firm that owns the largest audience of AI focused businesses with the goal of connecting business leaders to AI solutions and services. Yesterday, Dan discussed which industries have already integrated AI into their marketing efforts, and today we're going to reveal where the low hanging fruit lies for marketers to start integrating AI into their marketing efforts. Episode Transcript Connect with: Dan Faggella: Website The MarTech Podcast: Email // LinkedIn // Twitter Benjamin Shapiro: Website // LinkedIn//  Twitter

Today is the second day of AI Week with our guest Dan Faggella, who's the Founder and CEO at Emerj (formerly TechEmergence). Emerj is an artificial intelligence market research and media platform that helps leaders gain insight into the applications and implications of AI in their industry. Yesterday, Dan walked us through his definitions of AI, and today we're going to talk about some of the industries that are most effectively using AI in their marketing efforts. Episode Transcript Connect with: Dan Faggella: Website The MarTech Podcast: Email // LinkedIn // Twitter Benjamin Shapiro: Website // LinkedIn//  Twitter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today is the second day of AI Week with our guest Dan Faggella, who's the Founder and CEO at Emerj (formerly TechEmergence). Emerj is an artificial intelligence market research and media platform that helps leaders gain insight into the applications and implications of AI in their industry. Yesterday, Dan walked us through his definitions of AI, and today we're going to talk about some of the industries that are most effectively using AI in their marketing efforts. Episode Transcript Connect with: Dan Faggella: Website The MarTech Podcast: Email // LinkedIn // Twitter Benjamin Shapiro: Website // LinkedIn//  Twitter

At TechEmergence, we often talk about the software capabilities of AI and the tangible return on investment (ROI) of recommendation engines, fraud detection, and different kinds of AI applications. We rarely talk about the hardware side of the equation, and that will be our focus today. For hardware companies like Nvidia, stock prices have soared thanks to the popularity of new kinds of AI hardware being needed not only in academia but also among the technology giants. Increasingly, AI hardware is about more than just graphics processing units (GPUs). Today we interview Mike Henry, CEO of Mythic AI. Mike speaks about the different kinds of AI-specific hardware, where they are used, and how they differ depending on their function. More specifically, Mike talks about the business value of AI hardware. Can specific hardware save money on energy, time, and resources? Where can it drive value? Where is AI hardware necessary to open new capabilities for AI systems that may not have been possible with older hardware? What is the right business approach to AI hardware? This interview was brought to us by Kisaco Research, which partnered with TechEmergence to help promote their AI hardware summit on September 18 and 19 at the Computer History Museum in Mountain View California. See the full interview article here: www.techemergence.com/financial-roi-ai-hardware-top-line-bottom-line-impact

Episode summary: In the last two or three years we at TechEmergence have witnessed a definite uptick in AI applications like predictive maintenance and heavy industry. Many exciting business intelligence and sensor data applications are making their way into “stodgy” industries like transportation, oil and gas, and telecom - where machine vision has countless applications. We had caught up with Massimiliano Versace, CEO of Neurala over 4 years ago in an interview about the ethical implications of AI. In this week's episode of AI in Industry, Max speaks with us about how machine vision and drones can be used together to automate the process of facilities and heavy asset upkeep. Max walks us through potential applications in telecom and rail transportation and explains where he thinks machine vision has the strongest potential to impact the bottom line. Business leaders who manage heavy assets or physical infrastructure should find this interview insightful, as Max explains both current and near-future applications for machine vision for maintenance and upkeep. Interested readers can listen to the full interview with Max here: https://www.techemergence.com/applications-of-machine-vision-in-heavy-industry/

Dan Faggella is the founder and CEO of TechEmergence, an artificial intelligence market research firm. TechEmergence helps companies to gain insights on the application and implications of AI and machine learning technologies. The Show Notes TechEmergence Science of Skill Dan Faggella vs The Giant Infusionsoft Mailchimp Aweber Klaviyo CLV Boost Tim Reiss on LinkedIn Dan on Twitter Omer on Twitter Enjoyed this episode? Subscribe to the podcast Leave a rating and review Follow Omer on Twitter Need help with your SaaS? Join SaaS Club Plus: our membership and community for new and early-stage SaaS founders. Join and get training & support. Join SaaS Club Launch: a 12-week group coaching program to help you get your SaaS from zero to your first $10K revenue. Apply for SaaS Club Accelerate: If you'd like to work directly with Omer 1:1, then request a free strategy session.

Dan Faggella is the founder and CEO of TechEmergence, an artificial intelligence market research firm. TechEmergence helps companies to gain insights on the application and implications of AI and machine learning technologies.The Show NotesTechEmergenceScience of SkillDan Faggella vs The GiantInfusionsoftMailchimpAweberKlaviyoCLV BoostTim Reiss on LinkedInDan on TwitterOmer on TwitterEnjoyed this episode?Subscribe to the podcastLeave a rating and reviewFollow Omer on TwitterNeed help with your SaaS?Join SaaS Club Plus: our membership and community for new and early-stage SaaS founders. Join and get training & support.Join SaaS Club Launch: a 12-week group coaching program to help you get your SaaS from zero to your first $10K revenue.Apply for SaaS Club Accelerate: If you'd like to work directly with Omer 1:1, then request a free strategy session.

On this episode I talk with Dan Faggella from techemergence.com who had a 7 figure exit from his ecommere business. Show notes at >> https://richardpatey.com/techemergence/ Dan used his ecommerce business ScienceofSkill.com to fund his bigger ideas around AI, transhumanism and artificial sentience. He needed a location independent revenue stream to move onto his life's purpose helping to make the arms race of intelligence as non-confrontational as possible. He shares Elon Musk's views that a merger with machines is inevitable.  We talk about the impact of AI on the future or work and (the end of) jobs as well as marketing (the link he mentioned).

In order to shed more light on the growing applications of natural language processing, we speak with Vlad Sejnoha (CTO of Nuance Communications) about the current and near-term applications of NLP for voice and text across industries. In this podcast interview, Vlad breaks down real-world NLP use-cases in industries like banking, healthcare, automotive, and customer service. For the full article of this episode, visit: TechEmergence.com/natural-language-processing-current-applications-and-future-possibilities

This week on AI in Industry, we speak with Equifax's Dr. Rajkumar Bondugula about how the dynamics, composition and requirements of the data science team have evolved over the years. Raj also shares valuable insights on how to build a robust data science and machine learning team, use its collective intelligence to solve problems, and retain the team by engaging them with the right problems they expect to solve. For more insights from AI executives, visit: TechEmergence.com

This week on AI in Industry, we explore IoT security with Bob Baxley (Chief Engineer at Bastille). This includes information on how different IoT security is compared to infosec, the unique challenges IoT security presents (for detecting and scanning wireless network traffic that runs on various protocols and for classifying types of cyberthreats), what the future of IoT security might look like, and how deep learning and machine learning tools can be used to better classify and detect threats and attacks in the cyberspace. For more insight on the applications of AI in industry, visit: TechEmergence.com

In this episode of AI in Industry, we explore how artificial intelligence can be use to manipulate human behavior - in gaming and in business. We explore how game designers use psychology and machine learning to drive their own desired outcomes, leaving users to "feel" in control. Dr. Charles Isbell teaches machine learning at Georgia Tech. He explores the manipulative elements of game design, and how some of the same AI approaches are likely being used at tech giants like Amazon and Facebook. In this episode you learn how businesses leverage the "illusion of choice" with subtly influential AI techniques. Charles also helps us understand which businesses will be most able to use AI to guide user behavior in the years ahead. For more interviews about the applications of AI in industry, visit: www.TechEmergence.com

If you combine the hype-factor of both "blockchain" and "artificial intelligence" you often get a supernova of jargon. This week on the AI in Industry podcast, we aim to get beyond the hype to discuss how blockchain might make AI more accessible for small and mid-sized businesses in the years ahead. Dr. Ben Goertzel - CEO of SingularityNET - is our guest this week. For more expert interviews about the business applications of AI, visit: TechEmergence.com

Expert systems and machine learning are two ends of a spectrum working to solve similar problems quite differently. One one hand you have if-then scenarios and a logical approach, and on the other you have vast neural networks and a big data approach. Some companies exist to try and bridge the gap between the if-then rule systems and the massive piles of data. They hope to find a middle ground of sorts, one that mitigates their individual disadvantages. One such company is Montreal's fuzzy.ai. In this episode, we interview its founder, Evan Prodromou about the state of the middle ground, so-called hybrid systems. The middle ground is an elusive, still mostly theoretical concept, but businesses can take steps to prepare for when it becomes accessible to them. What exactly would a hybrid system provide to businesses in terms of automation? How accessible are they now, and what can businesses do to best integrate them when they're ready? Find out in this episode of the podcast. For more interviews about the business applications of AI, visit: www.TechEmergence.com

There's a lot of hype out there about conversational AI. Although according to our guest, we're nowhere near the day when AI can generate accurate conversations for the average business to integrate into their customer service, chatbots still have practical applications. In this episode, we interview the head of research at Digital Genius, Yoram Bachrach. Yoram succinctly outlines the current applications of chatbots—what they can and can't do—and details how business can best prepare to automate their customer service. For more interviews about the applications of AI in industry, visit us online: www.TechEmergence.com

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

This episode explores the ways in which artificial intelligence has the potential to revolutionize the field of medicine. This week's guest, Dr. Kristóf Zsolt Szalay speaks to this topic, discussing research that hopes to create automated learning networks and algorithms designed to predict the development of human cells in response to drugs. This technological innovation would make it possible for near-instantaneous simulations to be run, allowing optimal combinations and optimal doses of drugs to be pinpointed and distributed to patients. For more interviews on the applications and implications of AI in business, visit: www.TechEmergence.com

In this episode, discover how chatbots and conversational agents can provide you an advantage in the realms of customer support, product, support, lead engagement, and more, and learn the theory behind creating useful chatbots you can use in your own business. Right now, if we intend to find a piece of information or purchase something on the Internet, we might use a search engine that provides us with a list of sites we can browse in order to find ourselves a resolution for that intent. This week's guest, Chief Scientist at Conversica, Dr. Sid J Reddy, talks about how AI and ML can usher in the next a new era of search software, one that will bring you a faster, more accurate resolution to your intent. Most importantly, Dr. Reddy discusses how chatbot technology can be integrated into areas such as customer service, product support, and lead engagement. By the end of the episode, listeners will have a better idea of the importance of collecting data and how they can use that data to  to build chatbot templates they can use in multiple domains and applications. For more interviews on the business applications of AI, visit: www.TechEmergence.com

This week on AI in Industry, we speak to Paul Barba (Chief Scientist at Lexalytics) about what how companies are using natural language processing, and what it takes (in terms of expertise, time, and training) to get these systems working. From sentiment analysis to categorization, Paul walks us through interesting and fruitful use-cases and sheds light on the back-end "tweaking" required to keep NLP productive in a changing business environment. For more interviews on the applications of AI in business, visit: www.TechEmergence.com

In this episode, we speak with Alan O'Herlihy, Founder and CEO of Ireland-based Everseen. Alan speaks to us about how machine vision systems can be used to detect theft or mistakes at a checkout counter (including forgetting to scan items, customers intentionally hiding items, and more). Alan not only explains where these technologies are in use today, but he also breaks down some of his own predictions about what these computer vision systems might make possible in the workplace of tomorrow. For more interviews and use-cases of AI in industry, visit: TechEmergence.com

In this episode, we talk to Murali Aravamudan, Founder and CEO of AI-driven drug discovery startup Qrativ, a joint venture by the Mayo Clinic and biotech/data science firm nference. Murali and I discuss the surge of medical information and data in the medical industry, the role of artificial intelligence in developing drugs for treatments to various diseases, and the future of AI in drug discovery. For more in-depth interviews on the business applications of artificial intelligence, find us online at: www.TechEmergence.com

In this episode, we talk to Daniel Nigrin, MD, Senior Vice President and CIO at Boston Children's Hospital. Daniel and I discuss why hackers have come to prey on the healthcare industry, how these hackers benefit from their illicit activities, and what healthcare IT security precautions can be taken to prevent such attacks. For more interviews on AI applications in business, visit: www.TechEmergence.com

Natural language processing has gained more and more attention with the raise of (or rather, the "fad" of) chatbots. Despite the flurry of press releases from companies about their conversational agents (only a few of which seem to be delivering real business value), few business leaders understand the value of NLP for customer service, sales enablement, or eCommerce. In this week's episode of AI in Industry we interview Narjes Boufaden, computational linguistics PhD and CEO of Keatext, an NLP company based in Montreal. Narjes explores the possible business applications of NLP - specifically for customer service and customer experience - and she also explains (in layman's terms) how NLP systems are trained and integrated into businesses today. The ROI on this episode (in my opinion), is a firm understanding of what NLP can and cannot do, and what business applications it can realistically solve today. I was fortunate to meet Narjes in person during my Montreal trip, and I'm glad we were able to bring her on the program shortly thereafter. For more expert interviews on the business applications of AI, visit: www.TechEmergence.com

As a human, we can often understand the mood, intention, and future action of another person just by looking at them. We see their posture, their facial expression, where their eyes are focused, and we can get a decent understanding of what they might do next. The problem of computer vision for body language is a much harder problem to solve, but we are indeed making progress. Our guest this week is Paul Kruszewski, an computer science PhD who's spent nearly the last 20 years focused on 3D modeling and artificial intelligence. Today, he's CEO of Wrnch, a Montreal-based AI company focused on reading and understanding human body language. Paul explains how advances in 3D modeling and computer vision have allowed researchers to get machines to "understand" the posture, movements, and intentions of human being - and he also helps explore the future applications that this technology might have in security, retail, sports, and more. For more interviews on the applications of AI in business, visit: TechEmergence.com

In the future, the vast majority of photos and videos recorded won't be seen and used by humans - they'll be seen and used by machines. This week we interview Allan Benchetrit, CEO at Algolux - a Montreal-based AI company focusing on computational imaging. If you take an image for a human being in a consumer application (maybe an iPhone app or a recreational DSLR camera), you probably want it to be visually appealing and clear to the human eye. As it turns out, machines don't need pretty images, they need to do their jobs. If a computer vision system needs to detect road signs, or suspicious people in an airport, or the presence of weeds in a cornfield - it may create images that are ugly to the human eye, but perfectly calibrated for being interpreted by machines for their jobs. As it turns out, this is a complicated AI-related problem itself, and Allan walks us through it. If your business uses cameras heavily - or may do so in the future - this interview will provide an around-the-corner look at what it takes to create effective computer vision applications. For more expert interviews about the business applications of artificial intelligence, visit: www.TechEmergence.com

Today we are joined by my friend, CEO / founder at TechEmergence, and repeat guest on our show, Dan Faggella. TechEmergence is the only market research and company discovery platform focused exclusively on artificial intelligence and machine learning. Dan sold his first business, which he was building when him and I first met - for six figures. After building his second business from $0 to $75,000/month we did an interview here on the show..  you may want to go back and listen to it after hearing this… ultimately he was doing above $175,000/month and sold it for seven figures. Both businesses served as economic fuel for TechEmergence, his true passion. Dan believes the most important ethical considerations of the coming thirty years will be on the creation or expansion of sentience and intelligence in technology. TechEmergence is intended first as a vehicle to proliferate an open-minded conversation about the implications and applications of AI.. simply because Dan feels it is so important..So I've asked Dan to join us here today so we could all discover what is coming in the near future and how we can align our businesses to make the most of it.Enjoy!!! --- My mission is to create 200 new multi-millionaire business owners. How? You'll do better when you know better.   Would it help you to have a mentor who can cut your learning curve by sharing their mistakes with you so you could avoid them?   Would it help you to talk to that mentor and learn how they shifted their mindset to allow success to happen in the first place? Would it help you to hear them talk to other high-level entrepreneurs about their journeys, their mistakes and how they overcame their challenges to create the lives and financial success they desire? The Best Business Podcast was created for you to have all this in one place. If you like it, please subscribe, give an honest review and share with a friend you think will benefit so I may serve you both together. "Your success is my success." -- Daryl Urbanski

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

This week we speak with Bastiaan Janmaat (CEO and co-Founder of DataFox) about the current and future applications of artificial intelligence in the CRM. No matter what business you're in, there's a high likelihood that managing relationships with customers, wholesalers, suppliers, or affiliates is important to your daily operations. Artificial intelligence is currently being employed to help with automating data entry, automating email and phone reminders, and even prompting salespeople with the right phone scripts in real time. In addition to covering "what's being done now" - spend the end of the interview asking Bastiaan about his predictions of the most likely AI-for-CRM capabilities that will become commonplace in the next 5 years. For more AI executive interviews, and insights into current and future AI trends that are shaking up industries, visit: www.TechEmergence.com  

Dan is founder of TechEmergence.com to be a media and market research firm to spread the global conversation around the applications and implications of artificial intelligence, with the eventual goal of informing global policy. TechEmergence is funded by the sale of his multi-million dollar eCommerce business ScienceofSkill.com. Sponsors: ZipRecruiter: Find out today why ZipRecruiter has been used by businesses of ALL sizes to find the most qualified job candidates. Post jobs on ZipRecruiter for FREE today by visiting ZipRecruiter.com/fire! Billy Gene is Marketing: Ready to kick "Learning But Not Implementing" to the curb? Visit BuildAdsWithBilly.com and reserve your spot for his private workshop going down Aug, 31, 2017 for marketers and entrepreneurs at the Hard Rock Hotel in Downtown San Diego!

Artificial intelligence is coming - should be worried about our jobs? Well, it depends. Our guest Dr. Kevin LaGrandeur spent the last two years researching the impacts of automation and artificial intelligence on society and the job market. In this interview on AI in Industry, we explore the near future of AI's impact on the world of work, and I ask Kevin some important questions, including: What skills are least "automate-able" in the next decade? What middle class professions have the greatest risk of automation, and what should those professionals be doing now to hedge against job loss? What should business leaders be doing now to prepare for "phasing out" work while still taking care of their employees? For more interviews with AI executives and researchers (and more insight on applying AI in your organization) - visit us online at: www.TechEmergence.com

It would be great if instead of having our car break down - could have them fixed as soon as the underlying problem began. It would be great if instead of having to diagnose a malfunctioning piece of mechanical equipment - would could have the right "fix" presented to us immediately. As it turns out, artificial intelligence may be working its way to accomplish both of those goals in the not-so-distance future. This week we interview Tilak Katsuri, CEO of Predii, a predictive maintenance AI company based on Palo Alto. Predii focuses on helping service people by using AI and sensor data to prescribe proper repairs. In this episode, Tilak speaks with us about what's currently possible within the world of "predictive maintenance," as well as the possible ramifications of industrial IoT and AI in the next 5 years. For more interviews about the real-world applications of artificial intelligence in business, visit: www.TechEmergence.com

A huge percentage of digital advertising dollars today go to Google and Facebook, who dominate that sector - and are inevitably central for the future of programmatic advertising. There's a lot of evidence to suggest that the growth in digital advertising in the last two to three years has gone almost entirely into their coffers. At least for the foreseeable future, Facebook and Google will retain the ability to dominate that space. The ability to be able to bid for the attention of particular target audiences, whether they're searching for a specific term, live in a specific place or they like a specific sports team, is something that doesn't seem to be going away, and seems to be rather efficient, thanks in the large part to Artificial Intelligence. In this episode we talk to Lior Tasman who is the CEO of PredictiveBid, an Israeli-based predictive advertising optimization start-up. The team focuses on applying AI to some of the bigger issues in programmatic advertising to help draw out more ROI from ads. We discuss some of the challenges of programmatic advertising and what the future of programmatic advertising may look like from an advertiser's perspective. For more executive interviews on the applications of AI in Industry, visit: TechEmergence.com

The big tech giants, such as Amazon, Google and Netflix, tend to set the stage in a lot of different domains and set public expectations to raise the aggregate tide of consumer experience. Our online experience is somewhat different each time we use these and other sites. This is because many of these tech giants alter their experience user per user in a real time iterative fashion in order to create sticky experiences and to beat their competitors. In this episode we talk to Adam Spector, the Co-Founder & Chief Business Officer at LiftIgniter, a company which provide a service which modulates website experience per users, for an array of different businesses. Adam and I discuss what the tech giants are doing to customize their business experiences, what data they're using to continually alter user experience and what industries and sectors might be impacted by this aggregate trend as it moves forward. See more interviews with AI industry innovators at: www.TechEmergence.com

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.  Muriel is the Business Consultant Advanced Data Analytics & 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

Dan Faggella from techemergence.com joins us to share his insights on some of the exciting uses of Artificial Intelligence that's being used in combination with big data in marketing, both by large and small businesses alike. Dan's Bio (his words are WAY better than my own) CEO / founder at TechEmergence, the only market research and company discovery platform focused exclusively on artificial intelligence and machine learning. He's of the belief that the most important ethical considerations of the coming thirty years will be the creation or expansion of sentience and intelligence in technology. TechEmergence is intended first as a vehicle to proliferate an open-minded conversation about the implications and applications of AI . Business model came later, purpose was and is first. Dan also writes for: TechCrunch, Boston Business Journal, VentureBeat, Xconomy, VICE MotherBoard, others (see Publications) Speak at: TEDx, Stanford, Columbia (Paris campus), MIT, Harvard, Brown, others (see Talks) Read: from Bacon to Bostrom Fun facts: Dan has been a Brazilian Jiu Jitsu black belt since 2013, 2011 national champion (IBJJF no-gi pan ams) Location: SF-based, often in the valley, often in Boston

Marshall Brain discusses how wetware (the human brain) is increasingly becoming a part of a bigger system which may in itself be managed by software systems. The roles and relationships of humans and machines are rapidly changing. With the increasing advances in technology, there are fewer and fewer skills or activities that an enterprise needs from human beings, and they only need those until they can be replaced by software or hardware. For example, computer vision systems are often still not as effective as the human eye, so we still need human vision systems to recognize text or to recognize object placement, and take action accordingly (in a store, warehouse, or other setting). A human can fill that role as a piece of wetware until the software or the hardware catches up. How will man and machine collaborate in the future? We explore these dynamics in depth in this week's interview. For more interviews and insights from leading thinkers in AI and automation, visit: www.TechEmergence.com

Daniel Fagella. He started a mixed martial arts gym when he was an undergrad and sold it after getting a UPenn graduate degree in cognitive science. He did turn his grad school thesis on skill development into an ecommerce business that grew for 4 years, reaching $4.2M in top line sales and recently sold it for a million dollars with 90% paid upfront. He’s now using his funds for TechEmergence.com in order to influence global AI policy for the better. Famous Five: Favorite Book? – Plutarch’s Lives What CEO do you follow? – Last bio he read was Marcus Aurelius’ Favorite online tool? — Asana How many hours of sleep do you get?— 6-7 If you could let your 20-year old self, know one thing, what would it be? – Daniel would tell himself that dealing with the existential human condition could be done by contributing to a much bigger world   Time Stamped Show Notes: 01:20 – Nathan introduces Dan to the show 02:08 – Dan was studying skill development and goal setting science in psychology for his undergrad 02:17 – Schooling was expensive; Dan decided that he’d rather use himself as a skill development guinea pig than a pizza deliverer 02:40 – Dan started teaching and making money at the back of a carpet store 03:11 – Dan’s jiujitsu gym was the smallest business back then 04:03 – Dan sold the gym after 3-4 years with $250K ARR 04:14 – Dan was 25 when he sold the gym 04:41 – The membership fee was $157 05:07 – Dan sold it for over $100K with 10% upfront to his right-hand and friend 05:45 – The business ran for over 2-3 years after that 06:05 – Dan took $30K from the $113K 06:36 – Dan was also making $20K a month selling martial arts instructional resources online 07:09 – Dan was using Infusionsoft for his e-commerce business, Science of Skill 07:56 – The e-commerce was doing around $200K top line 08:42 – The biggest cost for Science of Skill was on merchant processing, customer acquisition, advertising and affiliates 09:26 – Dan likes to spend half of his CLV (Customer Lifetime Value) on acquisition 09:42 – The CLV for membership programs were around $100 and affiliates $50-60 10:00 – One of the affiliates was Survival Frog of Byron 10:23 – Byron drove Science of Skill into 6-figures 10:44 – Dan was paying affiliates upfront 11:15 – Byron of Survival Frog was on Episode 395 11:44 – There are agencies who get onto their email list by paying 12:14 – One of the agencies is com 13:02 – Finding the right people to advertise and won’t tag you as spam 13:11 – Dan will find firearm sites in com—go through the website owners and email them to find the right people to target 14:11 – Dan sold Science of Skill in February 2017 for a little over a million dollars 14:22 – Science of Skill was valued by the multiple of net 15:11 – Science of Skill revenue in 2016 16:27 – Dan’s ultimate goal 16:31 – The buyers are a private group of 2 buyers in Ohio who previously ran SaaS businesses then sold them to the government 17:05 – Science of Skill should be at Inc 500 for 2016 17:13 – Dan sold Science of Skill because he believed he has better and bigger things to do in life 17:25 – Dan’s core objective involves the global conversation of neuroscience and AI 17:48 – TechEmergence focuses on the business applications of AI 18:08 – TechEmergence is not making money, but will make money primarily through advertising 19:09 – The goal now is to scale and make traction 19:21 – Current cash burn 20:05 – The Famous Five   3 Key Points: You can start your business literally anywhere. Focus on your goals and objectives, even if it means having to burn cash. The future will probably evolve around n_euroscience and AI.   Resources Mentioned: The Top Inbox – The site Nathan uses to schedule emails to be sent later, set reminders in inbox, track opens, and follow-up with email sequences Klipfolio – Track your business performance across all departments for FREE Hotjar – Nathan uses Hotjar to track what you’re doing on this site. He gets a video of each user visit like where they clicked and scrolled to make the site a better experience Acuity Scheduling – Nathan uses Acuity to schedule his podcast interviews and appointments Host Gator– The site Nathan uses to buy his domain names and hosting for the cheapest price possible Audible– Nathan uses Audible when he’s driving from Austin to San Antonio (1.5-hour drive) to listen to audio books Show Notes provided by Mallard Creatives

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

Fraud attacks have become much more sophisticated. Account takeovers are happening more often. Many security attacks involve multiple methods and unexpected attacks can devastate businesses in just a few days, as we saw with Neiman Marcus and Target. False promotion and abuse is seen not only on social media sites but is also targeted at business. To combat these risks, fraud solutions need to be smarter to keep pace with fraudsters to prevent attacks and react quickly when they do happen. This requires a fast-learning solution with the ability to continually evolve. In this episode we talk to Kevin Lee from Sift Science and examine the shifts in the info security landscape over the past ten or fifteen year. Lee also highlights what new kinds of fraud are now possible and what machine learning solutions are available. See more episodes at: www.TechEmergence.com  

Dan Faggella founded a Brazilian Jiu-Jitsu Academy to pay for college and grad school which sparked the idea for his eCommerce business, Science of Skill. Science of Skill was created for the sole purpose of eventually selling it and using the exit money to fund an artificial intelligence market research company. He grew Science of Skill past $2 million in revenue, sold it in 2017, and TechEmergence was born completely funded by the exit. If you listen, you will learn: How recurring revenue helps the value of your business Importance of finding a marketing channel that ensures consistent profitability and growth Having key employees that can run the company without the owner can increase the value of the company and provide for a smoother transition/exit Importance of knowing how the processes of your company tie into growth and profit How to figure out and analyze the core metrics of your business Finding the right broker makes a ton of difference when selling a business Building Up Science of Skill Dan went from owning a physical Jiu-Jitsu gym to starting an eCommerce business. He started taping the Jiu-Jitsu seminars he was giving in person and putting them on the internet. He took the curriculum he used and studied himself and turned the videos, information, and skill development exercises into monthly subscription based lessons which would allow the company to have recurring revenue. “I had it impressed on me early on that recurring revenue is a good thing. Recurring revenue is going to help you sell for a higher margin. Recurring revenue is going to give you less nightmare than businesses that don't have recurring revenue. The only reason I was able to sell that gym was because it was recurring so I think that lesson kind of traveled over. I transferred that to an online business model I could run from anywhere,” explains Dan. The Jiu-Jitsu videos and information quickly extended out into general self-defense and self-protection lessons which attracted a broader audience to Science of Skill making the company more diverse and valuable to a buyer. Starting With The End In Mind TechEmergence was always the goal at the end of the tunnel. Dan wanted to start a purpose led business in AI technology by growing and selling something highly profitable. He spent half his time giving Ted Talks, writing articles, and building a media business around artificial intelligence and spent the other half of his time selling self-defense materials on the internet. Dan wanted to sell Science of Skill quickly to fund his AI research company. He thought it would take a year or so and ultimately, it took over three years. He didn't realize when founding the eCommerce business that it would be so difficult to sell. “I thought I am going to flip this bad boy and call it a day,” says Dan. Dan was under what he calls a “naïve belief” that he would be able to sell the company easily. In reality, he had to grow the company for four years before a bank would facilitate a seven-figure transaction. The banks required three years of tax returns and valuations. “Banks don't like stuff that involve the internet,” says Dan. He did find a buyer who had previous experience in the eCommerce space with a bank that backed them. They purchased Science of Skill in early 2017. It was three years longer than what Dan originally planned and was anxious to get TechEmergence going on more of a full-time basis.  Lessons Learned Dan learned a lot throughout the process of starting and selling his eCommerce business. Not only shouldn't you expect to sell a small

Dan Faggella founded a Brazilian Jiu-Jitsu Academy to pay for college and grad school which sparked the idea for his eCommerce business, Science of Skill. Science of Skill was created for the sole purpose of eventually selling it and using the exit money to fund an artificial intelligence market research company. He grew Science of Skill past $2 million in revenue, sold it in 2017, and TechEmergence was born completely funded by the exit. If you listen, you will learn: How recurring revenue helps the value of your business Importance of finding a marketing channel that ensures consistent profitability and growth Having key employees that can run the company without the owner can increase the value of the company and provide for a smoother transition/exit Importance of knowing how the processes of your company tie into growth and profit How to figure out and analyze the core metrics of your business Finding the right broker makes a ton of difference when selling a business Building Up Science of Skill Dan went from owning a physical Jiu-Jitsu gym to starting an eCommerce business. He started taping the Jiu-Jitsu seminars he was giving in person and putting them on the internet. He took the curriculum he used and studied himself and turned the videos, information, and skill development exercises into monthly subscription based lessons which would allow the company to have recurring revenue. “I had it impressed on me early on that recurring revenue is a good thing. Recurring revenue is going to help you sell for a higher margin. Recurring revenue is going to give you less nightmare than businesses that don’t have recurring revenue. The only reason I was able to sell that gym was because it was recurring so I think that lesson kind of traveled over. I transferred that to an online business model I could run from anywhere,” explains Dan. The Jiu-Jitsu videos and information quickly extended out into general self-defense and self-protection lessons which attracted a broader audience to Science of Skill making the company more diverse and valuable to a buyer. Starting With The End In Mind TechEmergence was always the goal at the end of the tunnel. Dan wanted to start a purpose led business in AI technology by growing and selling something highly profitable. He spent half his time giving Ted Talks, writing articles, and building a media business around artificial intelligence and spent the other half of his time selling self-defense materials on the internet. Dan wanted to sell Science of Skill quickly to fund his AI research company. He thought it would take a year or so and ultimately, it took over three years. He didn’t realize when founding the eCommerce business that it would be so difficult to sell. “I thought I am going to flip this bad boy and call it a day,” says Dan. Dan was under what he calls a “naïve belief” that he would be able to sell the company easily. In reality, he had to grow the company for four years before a bank would facilitate a seven-figure transaction. The banks required three years of tax returns and valuations. “Banks don’t like stuff that involve the internet,” says Dan. He did find a buyer who had previous experience in the eCommerce space with a bank that backed them. They purchased Science of Skill in early 2017. It was three years longer than what Dan originally planned and was anxious to get TechEmergence going on more of a full-time basis.  Lessons Learned Dan learned a lot throughout the process of starting and selling his eCommerce business. Not only shouldn’t you expect to sell a small

TechEmergence founder & CEO Dan Faggella is an entrepreneur and speaker focused on business and research trends and analysis at the intersection of technology and intelligence (particularly, artificial intelligence and neurotech). He founded and presently runs Science of Skill, LLC, a seven-figure digital publishing company. Growth Hacking course for free at https://www.growthhackingpodcast.com/freecourse For more information and resources, visit https://www.growthhackingpodcast.com