Artificial Intelligence in Industry with Dan Faggella (artificial intelligence)

The upsurge of malware and sophisticated attacks continue to keep cybersecurity in the spotlight, but new developments in AI and deep learning offer more advanced solutions to combat security threats. This week, we catch up with Eli David, CTO of Deep Instinct—a company founded in Israel with US headquarters in San Francisco—that applies deep learning to information security. David spoke with us about why and how the deep-learning approach to AI is relevant to the future of cybersecurity.

Companies that are actively building their own security infrastructure, or are in growth mode and know they will eventually need to, should find this interview particularly relevant. David shares his perspective on how and where potential cyberthreats focus their attacks and the resulting ramifications for industries as they look for best ways to respond and prevent attacks.

 

Direct download: TEP-Eli_David-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 5:00pm PST

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

Direct download: TEP-Ankur_Bulsara-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 10:10pm PST

In this episode, we speak with Co-founder and CEO Alex Holub of  Vidora, about how AI can be put to work to improve marketing results. Holub touches on the resources needed—time, money, in-house or outside expertise, calibration, and data— in order to leverage AI in a realistic way. It's safe to say that today, some businesses are not yet set up to be leveraging AI, while others should be seriously considering taking the leap to using machine learning. Holub draws some firm lines as to what kinds of businesses are primed to take advantage of AI, and what it takes to flip the switch and make AI a useful and inspired revenue driver in the marketing domain.

Direct download: AI_in_Industry-Alex_Holub-Mixdown_1.mp3
Category:Artificial Intelligence -- posted at: 4:35pm PST

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

Direct download: TEP-Steve_Gullans-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 5:00pm PST

In some ways, investors in AI have to do a lot of what we do at TechEmergence, which is sort through marketing fluff and determine what's actually working and what's more of a pipe dream, as well as what's coming up in the next five years that seems inevitable and what's more likely to flop. In this episode we're joined by Li Jiang, a venture capitalist with GSV Capital whom I was connected with through Bootstrap Labs as a pre-event interview — we'll both be at Bootstrap Labs' Applied AI event in San Francisco on May 11. This week, Jiang speaks about the current areas of AI applications that he sees driving value in business, as well as what technologies he believes will make a long-term impact in terms of automation. His insights on where AI automations are generating cost savings and increased efficiency, as well as what roles might be completely replaced or significantly augmented by AI, are useful nuggets for companies who are thinking through some of their own business processes and are eager to identify low-hanging fruit.

Direct download: AI_in_Industry-Li_Jiang-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 10:43pm PST

Getting beyond the marketing and jargon on the homepage of AI companies and figuring out what's actually happening, what results are being driven in business, is part of our job at TechEmergence. Shaking those answers out of founders is not always easy, but we didn't have to do much shaking with Yohai Sabag, chief data scientist for Optimove, a marketing AI and automation company in Israel. In this episode, he speaks about what humans are needed for in the optimization process, and what facets can be automated or distributed to a machine. Sabag gives an excellent walk-through of how marketers can use the "human-machine feedback loop" to optimize individual campaigns at scale.

 

Direct download: TEP-Yohai_Sabag-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 5:00pm PST

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

Direct download: TEP-Or_Shani-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 5:57pm PST

Not all knowledge work can be crunched by a program, but there are some hard-to-automate business processes that a select few entities are making an attempt to automate now. Boston-based Rage Frameworks, Inc. is one such company, and in this episode we speak with Senior Vice President (SVP) Joy Dasgupta about specific applications of automation technologies applied to white collar environments. Rage Frameworks has developed intelligent machines that have been able to take over process that, prior to the emergence of AI and automation technologies, would have required thousands of people to accomplish. These developments are a microcosm of what is to come, and the process is not without its ethical considerations (as discussed in a previous interview with Yoshua Bengio). But Dasgupta's insights provide a concrete glimpse into how these processes are being automated in the knowledge workplace today and what that might mean or look like decades from now.

Direct download: TEP-Joy_Dasgupta-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 9:54pm PST

In many ways, AI and finance are made for each other. Machine learning and other techniques make it easier to identify patterns that might otherwise not be detected by the human eye, and finance is quantitative to begin with so that it’s hard not to find traction. Financial firms have also invested heavily in AI in the past, and more are starting to tap into the financial applications of machine learning (ML) and deep learning. This week, we’re joined by CEO and Co-founder of Kavout Alex Lu, whose company offers AI trading applications for enterprises and individuals. Lu speaks today about the kinds of patterns that traders now have access to in finance, and he gives examples of ways Kavout and other institutions are using artificial intelligence in stock trading to build better and more personalized products and services.

 

Direct download: TEP-Alex_Lu-Mixdown.mp3
Category:Artificial Intelligence -- posted at: 5:30pm PST

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

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

Direct download: TEP-Jerome_Glenn-Mixdown_1.mp3
Category:Artificial Intelligence -- posted at: 12:09pm PST