Podcasts about 2y0t25z

Pardon The Disruption Episode 36: Oculus Quest vs HTC VIVE ______________________________________________________________ A few members of the Rumjog team had recently purchased an HTC Vive and an Oculus Quest VR headset, which allowed them to get a sense of where the market currently is with regards to consumer VR. In this episode, the team provides their insights into both headsets, and discuss some implications of VR technology as it becomes more advanced and mainstream. - Oculus Quest Intro (1:25) - Oculus Quest vs HTC Vive (2:32) - Netflix & Chill in VR (4:55) (22:04) - Live Events in VR (7:15) - NFL in VR (8:32) - VR for the elderly (12:49) - VR to train employees (14:38) - VR & Privacy in your home (18:28) - The Real-world meets VR (21:19) - Capturing Data (23:23) Links used in this episode: skarredghost.com/2019/05/27/oculu…vive-focus-plus/ uploadvr.com/oculus-insight-details-quest/ www.viar360.com/virtual-reality-market-size-2018/ shop.magicleap.com/#/ www.vive.com/us/cosmos/ www.talespin.company/ ________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

Episode 35: The Impact of Technology on Education ______________________________________________________________ The world of education, like so many sectors in our society, is changing. Specifically, technology is starting to play a more important role in what we learn, and how we learn it. As distribution and platforms scale internationally, the technology-driven education market (or 'EdTech') is projected to grow at 17.0% per annum, to $252bn by 2020, led by companies such as Coursera, Udacity, and Udemy. Despite this large growth and a rapidly changing labor market, education is still starved of capital compared with other sectors and is still largely under-digitized. Added to that, today in the U.S. there are 44.7 million Americans with a total of $1.56 trillion in student loan debt. All of this begs the question, is a degree today a valid return on investment and what role can technology play to better equip graduates for the existing roles in the market place? Links used in this episode: 10 charts that explain the Global Education Technology Market: www.holoniq.com/edtech/10-charts-…echnology-market/ A Look at the Shocking Student Loan Debt Statistics for 2019: studentloanhero.com/student-loan-debt-statistics/ EdTech Spend To Reach $252bn By 2020: www.financedigest.com/global-report-…n-by-2020.html China has started a grand experiment in AI education. It could reshape how the world learns: www.technologyreview.com/s/614057/chi…ape-how-the/ ________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

Episode 34: What's up with Virtual Reality? ______________________________________________________________ At its peak, investors pumped $253 million into two dozen deals involving virtual and augmented reality start-ups in L.A. and Orange counties in 2016, hoping that pricey headsets projecting virtual worlds would become as popular as smartphones. Despite a recent dip in investment, some exciting applications of these new technologies have surfaced, including training staff on soft skills like how to practice firing somebody (www.technologyreview.com/f/614102/you…ual-reality/). British Airways is also testing VR as a perk for first-class passengers as a new form of in-flight entertainment (www.cnet.com/news/british-airwa…s-virtual-reality/). But what is the current state of the VR / AR market, which devices and applications are leading the market, and what are some strong use cases pushing commercial adoption? Links used in podcast: www.bhaptics.com ________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

Pardon The Disruption Episode 33: Edge Computing: On Device Artificial Intelligence ______________________________________________________________ The past 15-20 years have generated a massive shift from on-premise software to cloud computing, but the AI revolution has created a movement to perform AI computing differently. Instead of a link to the cloud, data generated by innovative devices is increasingly being processed locally on the devices themselves. Not only does this “AI at the edge” system process data faster and more cost-efficiently, it never leaves the confines of the area in which the device is situated. Ok, but buzz words aside...what does this all actually mean and why should you care? What is Edge Computing? What are the benefits, and more importantly what are some potential real-life applications of this new type of computing? In this episode of Pardon The Disruption, Tom speaks with Rob High (CTO IBM Edge Computing & IBM Fellow) to answer these questions and many more. ________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

Episode 32: Beyond Impossible ______________________________________________________________ The May IPO and the subsequent surge in the price of Beyond Meat stock, increasing 550% since the initial offering, caused some surprise amongst skeptics of artificial meat products. But should it have? The company sells plant-based burgers and sausages, and their likeness to animal meats has meant that the company along with others like Impossible Foods are rapidly taking large chunks out of the meat market. In fact, AT Kearny (global management consulting firm) released a report recently claiming that by 2040, 60% of all meat produced and/or consumed globally will be cultured or plant-based. https://www.atkearney.com/retail/article/?/a/how-will-cultured-meat-and-meat-alternatives-disrupt-the-agricultural-and-food-industry In this episode, the team takes a look at the meat substitute market, the disruption companies like Beyond Meat and Impossible Foods are creating to the agriculture business, and highlight some of the benefits of plant-based meats. - Introduction (2:04) - Highlighting the disruption of plant-based meats (4:13) - The inefficiency of meat production (5:24) - The cost of Beyond Meat (8:53) - The supply-chain disruption (10:17) - What will it take for widespread adoption of meat alternatives? (33:33) https://www.beyondmeat.com ________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

Episode 31: The Technology Behind Deepfakes ______________________________________________________________ In Episode 29 of Pardon The Disruption, the team discussed the world of Deepfakes. But what is the underlying technology behind Deepfakes? Generative Adversarial Networks (GAN), is extremely interesting and could have profound implications for distorting reality when it comes to generating fake videos or images. Created by the researcher Ian Goodfellow at the age of 28, Generative Adversarial Networks are two artificial neural networks which compete against each other. In the case of deep fake images, one network (the generator) tries to generate an image which the other network discriminates (the discriminator). In essence, the generator is trying to fool the discriminator into believing the data, or image, is fake - and it continues to generate images until this objective is met. - What are Generative Adversarial Networks (GANs)? (2:14) - The role of the Generator and Discriminator in GANs (5:00) - Why Is This Important? (8:50) - Where will GANs be used in the future? (9:25) - Deep fake images are just the start (10:20) - Generating Complete Data (14:00) - Variational Auto-Encoders (What JPG did for image compression) (14:44) - Faking Social Media profiles (20:10) - Machine-Brain Interfaces (21:41) Links used in the show: A Beginner's Guide to GANs: https://skymind.ai/wiki/generative-adversarial-network-gan Play with GANs (The GAN Lab): https://poloclub.github.io/ganlab/ ________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

Episode 30: Crypto Catchup: Bitcoin & Facebook Libra ______________________________________________________________ The price of Bitcoin has been volatile, to say the least, up almost 250% in 2019 alone. This rapid rise in addition to a number of institutions developing their own digital currencies has reignited the interest in Cryptocurrencies and the wider application of the underlying Blockchain technology behind them. Facebook becomes the latest institution to enter the Crypto world with the launch of its ambitious digital currency project Facebook Libra (https://techcrunch.com/2019/06/18/facebook-libra/). In this weeks episode the team revisits the price of Bitcoin, what's driving it, and they review the latest announcement from Facebook on their new digitial currency. What does this mean for the wider crypto market? ________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

Episode 29: Deep Fakes ______________________________________________________________ Faking an image or video has long been seen in Hollywood through Computer Generated Images (CGI). In today's world, however, deepfakes are moving into the consumer world in real-time through apps like Snapchat, and most recently surfaced when researchers from AI startup Dessa perfectly mimicked the sound of MMA-commentator-turned-podcaster Joe Rogan (https://www.theverge.com/2019/5/17/18629024/joe-rogan-ai-fake-voice-clone-deepfake-dessa). It's all fun and games, up to the point where you can't tell what's real and what's fake. - Snapchat filters (1:25) - Joe Rogan deepfake using Dessa's AI (4:22) - How to fake Rembrandt's art (6:31) - Will deepfakes increase paranoia? (9:07) - Implications of deepfakes on society (13:36) - The technology behind deepfakes: GAN (15:29) - thispersondoesnotexist.com (16:55) - Recreating memories using deepfakes (20:59) - The future of deepfakes (26:46) - Deep existence vs deepfakes (27:59) - Dinner in Paris whilst being in New Jersey (33:16) ________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

By now you will have heard everyone saying the same thing; technology is moving at an unprecedented pace. But every now and again, something jumps up that shocks even the most hardened technology enthusiasts. In this episode, the team discusses two such revelations. 1. Speech to Face - In a paper published recently, researchers from MIT’s Computer Science & Artificial Intelligence Laboratory have proposed a method for learning a face from audio recordings of that person speaking. 2. DNA to Face - An artist was recently able to recreate faces from DNA on forgotten gum and cigarette butts. Both of these breakthroughs, although very early, will have a profound impact on the field of Forensic Science, as the team delves into the fact we as a society will soon have nowhere left to hide. Speech to Face: The goal of the project was to investigate how much information about a person’s looks can be inferred from the way they speak. Researchers proposed a neural network architecture designed specifically to perform the task of facial reconstruction from audio. They used natural videos of people speaking collected from Youtube and other internet sources. The proposed approach is self-supervised and researchers exploit the natural synchronization of faces and speech in videos to learn the reconstruction of a person’s face from speech segments. See the full article & results here: https://neurohive.io/en/news/speech2f... DNA to Face: Dewey-Hagborg, who describes herself as an “amateur biohacker,” extracted DNA from the butt in a lab and analyzed it. The resulting strings of text gave a series of clues about its owner: sex, ancestry, eye color, physical features. She used the information to create a 3D image and finally ran it off on a 3D printer. See the full article & results here: https://globalnews.ca/news/2930279/ho... ________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

The deployment of Robotic Process Automation (RPA) has long been seen as a silver bullet for automating manual, repetitive tasks, enabling firms to replace human labor and run business processes at machine speed. However, according to E&Y, 30-50% of RPA projects fail (https://www.cmswire.com/information-management/why-rpa-implementation-projects-fail/) In this episode of Pardon The Disruption, Tom Young is joined by Raman Makkar (Chief Of Technology & Innovation @ IRPA AI) to discuss RPA and why so many RPA deployments fail. - Ramen Mukhar Intro? (0:11) - Successful RPA deployment is a journey (1:08) - Previous obstacles to Process Re-engineering (1:38) - Learn to walk before you run (3:30) - What excites Ramen the most about the future? (5:32) - Tech has the spotlight, but people matter (7:19) - Fortune 50 company case study (8:03) ________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

Episode 26: Digital Disruption in Insurance _____________________________________________________ Guest speaker: Leandro DalleMule (Planck Data - https://www.planckdata.com) Many traditional industries have undergone or are in the process of being disrupted by innovative startups who are deploying new and emerging technologies to rewrite the rules and change the game. Planck Data, a startup based in New York City with offices in Tel Aviv, is doing exactly this to the Insurance industry. In 2018, this innovative startup raised $12m as part of its Series A round to simplify insurance underwriting using AI (https://techcrunch.com/2018/07/03/planck-re-scores-12m-series-a-to-simplify-insurance-underwriting-with-artificial-intelligence/) This week Tom sat down with Leandro DalleMule, former Chief Data Officer for AIG who left that position 6 months ago to become General Manager of North America for Planck. During this ~30 minute conversation, Leandro provides some fascinating insights into how Planck is disrupting commercial underwriting and why he is so excited about the future. Here are some of the points covered in this episode: - An introduction to Leandro DalleMule (1:06) - Why did you join Planck & what does the company do? (2:56) - Brand New Insights with AI: How Busy Is Your Dancefloor?(6:28) - Insurance on-demand using behavioral insights (12:33) - People are not good at assessing risk!(15:10) - What is inhibiting Planck's growth?(17:40) - What is enabling new players to disrupt the insurance industry? (20:08) - What will Planck look like in 5-years?(21:01) - The trick to success for Insurtech's(25:08) ________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

The focus of the rapidly changing nature of technology is usually centered on B2B or B2C products and/or services. But how has this technological change we have seen over the past 20 years impacted the way Enterprises think about their commercial agreements with large deals? In this episode of Pardon The Disruption, Tom Young is joined by Robert Finkel (Partner at WilmerHale, a law firm which provides global legal representation across a comprehensive range of industry and practice areas) to discuss emerging trends within commercial agreements. - How has the nature of commercial deals changed over time? (3:40) - How does the prevalence of data factor into commercial deals? (6:48) - Do companies understand the value of data? (10:10) - What are some emerging trends related to commercial agreements? (14:42) - How can you secure data with technology? (17:46) - Mitigating the risk of protecting data (23:35) - Selling Risk-as-a-Service (25:37) - Regulating emerging technology (e.g. AI) in the context of commercial agreements (28:50) (31:16) ________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

In a recent article from Horses for Sources (https://www.horsesforsources.com/rpa-dead-integrated-automation-platforms_041519), the author Phil Fersht claimed that 'RPA is dead'. For those of you who haven't come across RPA, we created a short video to introduce the concept (https://www.youtube.com/watch?v=lNCKyjdtWts). So is RPA really dead? Whilst the headline of the article is provocative, it raises many good points and comes at a time when valuations for RPA companies like UiPath are skyrocketing (the firm recently raised $568m at a $7bn valuation). The article itself argues that as a standalone silver bullet, RPA deployment is only a component of the overall solution. Without a fully integrated automation strategy, encompassing an API gateway methodology at scale, process orchestration / BPM platforms, the underlying data management frameworks, and finally advanced analytic and AI / ML platforms to make use of the data. As TJ Young (Consultant, Rumjog) summarizes, "In silos, all of it has limited impact, but together it's this integrated digital toolkit that you can approach end-to-end process to transform at scale versus spot projects". ________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

Today, most AI companies are looking at how they can develop algorithms to replace people. Unanimous AI is different. Founded in 2014 by Louis Rosenberg, they approach AI from almost the opposite perspective, as we found out during a 30-minute conversation with Louis: "We start from the premise that people are really smart, they have knowledge, wisdom, insight, intuition." Louis believes that these fundamental human traits are missing from Big Data but do exist in the human database. "If you are a sports fan, you are watching games and developing your own intuition about how the teams are playing and what the momentum of the game is." Based on this premise and applying hive decision making lessons from nature (swarms of bees, flocks of birds, etc), Unanimous AI has developed AI technology which connects groups of people together to maximize the value of their knowledge and insights with impressive results. Not only has this innovative startup been able to accurately predict the winners of the Kentucky Derby & Premier League football results (https://unanimous.ai/epl-perfect/), but they have also applied the technology within businesses to help internal teams with sales forecasting, marketing predictions, and product development. They have also used their products to bring together swarms of customers helping companies to better understand their insights. https://unanimous.ai/ _______________________________________________________________________ Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

When honey bees are faced with the existential decision on where to relocate their hive, that is to find the perfect environment in which their colony can survive for generations to come, how do they reach consensus? A honey bee's brain is smaller than a grain of sand and has less than a million neurons. Humans have 85 billion. However, researchers have found that honey bees pick the optimal solution over 80% of the time. This begs the question, what is the best way to accurately predict outcomes? Does the answer lie in nature? Ants, bees, birds, and fish all self-organize themselves without any single leader, to help make complex, sometimes life & death decisions, as a single organism rather than individuals. This is known as Hive Intelligence. Louis Rosenberg, CEO & Founder of Unanimous AI, provided insights into how this can be used by humans in real-world applications on the TED stage (you can see his full talk here - www.youtube.com/watch?v=Eu-RyZt_Uas&t=794s). This is not voting. Instead of having a one person, one vote system, the relevant intelligence of all individuals in the network combines to give a group intelligence or a brain of brains! How can you tap into this Swarm Intelligence from large groups to make better decisions, from customer experience to what is going to happen next with your products & services? How would you even get a group of people or robots to co-operate together in a dynamic way which adjusted in real-time? Radhika Nagpal discusses how you can program rules to allow organisms to self-organize and react to the environment they see at TED (www.youtube.com/watch?v=LHgVR0lzFJc&t=300s). Autonomous cars will almost certainly use this tool in the AI kit to function, that is the ability to use Swarm Intelligence to self-organize themselves based on the environment around them, as Magnus Egerstedt shows in this video (13:50, www.youtube.com/watch?v=ULKyXnQ9xWA). Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

In a world where AI is increasingly stitched into the very fabric of our society and we start to rely on it for complex decisions including those which have potentially life or death ramifications, shouldn't there be a common understanding of the rationale behind AI reaching a final decision? This week, the Pardon The Disruption podcast team welcomes Gus Bekdash, Senior Managing Director of AI Solutions at IPsoft (www.ipsoft.com) & Vanessa Bates-Ramirez, Senior Editor at Singularity University (https://singularityhub.com/author/vbatesramirez/#sm.0001676oghr96fqjq9a1ha6301jy1) While it may be clear to understand why we need to explain AI, how we get there is far less clearer. There are a couple of dimensions to understand; (i) What is the goal set being programmed into the platforms and (ii) Once it has those optimization parameters how does it reach the final decision? But while skeptics tend to blame the developers of the technology for not clearly defining the goal sets being programmed, Gus believes the importance of getting these decisions right requires more people to have a seat at the table. Vanessa recently attended SXSW in 2019 where Explainable AI was a hot topic. At the event, she surfaced two schools of thoughts developing as it relates to Explainable AI. On one hand, there are people who believe that these AI systems should be explainable and no further progress should be made until we do this. Conversely, waiting for perfection will waste time and potential gains AI could yield. What do you think? Do you think countries in the West will hit the brakes on AI-related progress because of the complexity of understanding AI's rationale whilst countries further East slam down the accelerator? Regardless of whether you are bullish, bearish, or skeptical - the topic of Explainable AI will continue to be debated publically and privately. Check out Vanessa's article on Explainable AI on Singularity Hub (https://singularityhub.com/2019/03/19/to-be-ethical-ai-must-become-explainable-how-do-we-get-there/) Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

Remember when Bitcoin was all the rage? At the time of recording this podcast, the price of Bitcoin was trading at $4,100. Just a day later, it topped $5,000. Recently, JPMorgan announced their own pseudo digital coin (https://www.jpmorgan.com/global/news/digital-coin-payments) and the NYSE which is owned by ICE announced their own cryptocurrency platform called BAKKT which raised $200m in funding (https://www.coindesk.com/182-million-ice-exchanges-bitcoin-startup-bakkt-announces-massive-fundraise) have brought cryptocurrencies back into the limelight. This made us want to revisit not only where cryptocurrencies are today, but also got us asking the question 'what is money?' and how do people perceive it compared to previous generations? Alan Watts helped to answer this question brilliantly (https://www.youtube.com/watch?v=ryBUYB3F0NU). As we move towards a cashless society, cryptocurrencies will inevitably provide competition for institutions such as JPMorgan who have a vested interest in their own application of digital currency - queue Mr. Robot's prediction(https://www.youtube.com/watch?v=1ee-cHbCI0s). What's for certain is that cryptocurrencies are going nowhere, evidenced by simply following the money. As Coinbase shows, 2018 total funding for blockchain, the underlying technology behind Bitcoin, topped $3bn (https://www.coindesk.com/bitcoin-venture-capital). Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

In this episode, Tom Young (Managing Partner, Rumjog) and Frank Casale (Founder, The Institute for Robotic Process Automation & AI) discuss future trends, including how different demographics are using technology, whether there will be consolidation amongst existing industry players, the importance of reinvention, and advancing technologies in Healthcare. Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

Imagine if you could modify your DNA to be part-human / part-wolf? Ok, that's a bit far fetched. But it turns out that the technology to edit the human genome in this way exists today and in theory could be used to fundamentally edit the sequence of DNA or RNA to change what organisms are. This has implications for Healthcare, Agriculture, and has the potential to change the course of humanity. How did it get discovered? When scientists sequenced the human genome, they found sections which had a structure, but for which the function remained a mystery, termed 'junk DNA'. It turns out that this was actually a storage array, and information was being stored here. Further studies discovered that bacteria contained virus DNA in their genome. Why? It was a defense mechanism. Bacteria are essentially storing virus DNA (think of virus mugshots) so they can find and destroy them more easily (for more information check https://www.youtube.com/watch?v=tunNfh2Xchs&t=309s & https://www.youtube.com/watch?v=9evyeRivZwk). Once the bacteria finds the virus, using the information or mugshots it has stored in its own DNA, they use CAS-9 protein to snip the DNA of the virus to kill it. It turns out that when DNA is snipped, it goes through a self-healing process. What researchers have done is hijack that self-healing process and inserted DNA carrying specific information (hence part-human / part-wolf). For more information check https://www.youtube.com/watch?v=2pp17E4E-O8&t=108s Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: bit.ly/2Cl97VS iTunes: apple.co/2SEndI8 Spotify: spoti.fi/2W7OB2N Stitcher: bit.ly/2XXwLkA SoundCloud: bit.ly/2Y0t25Z

The 2019 Game Developers Conference in San Francisco was dominated by Google's announcement that they are launching a game streaming platform called Stadia. Imagine being able to stream AAA rated games at 60 frames per second in 4K across multiple devices from a chrome browser with little to no latency or lag. This is the promise of Stadia (full announcement: https://www.youtube.com/watch?v=nUih5C5rOrA&t=2295s). But why is Google getting into gaming? It turns out that Electronic Sports (Esports) is a huge industry. The market size of Esports is projected to cross $1bn in 2019 (https://newzoo.com/insights/articles/newzoo-global-esports-economy-will-top-1-billion-for-the-first-time-in-2019/). However, if you look at Fortnite, a game which is free to play, their 2018 revenue was $2.4bn. So $1bn is a gross underestimation of the market value. Another way to understand the size of the market is to compare gaming vs movies. To develop and market Red Dead Redemption 2 it cost $400m+. In 3 days it made $725m, in 3 months it crossed the $1bn mark. Today's current value and tomorrow's future growth is why Google is entering the gaming market. It seems that gaming is now going through the 6 D's of Digital Disruption (https://singularityhub.com/2017/12/29/what-are-the-6-ds-of-exponential-organizations/#sm.0001676oghr96fqjq9a1ha6301jy1). If Google is able to fulfill the promise of streaming games at scale, it could be extremely disruptive and allow them to capitalize on a rapidly growing market. Leave some feedback: • What should we talk about next? Please let us know on Twitter - twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: https://bit.ly/2Cl97VS iTunes: https://apple.co/2SEndI8 Spotify: https://spoti.fi/2W7OB2N Stitcher: https://bit.ly/2XXwLkA SoundCloud: https://bit.ly/2Y0t25Z

Do you have thousands of unread emails? Tom has 135,345 of them! How about photos...? Between Tom & Kiran, they both have over 15,000. When people think of minimalism, they often think about getting rid of material, physical goods. But in today's world, where most things are digitized, digital clutter can also be unhealthy. So why do people keep photos, apps, and emails they will likely never read again? What about the implications? Amongst all the noise created by digital clutter, you could miss or overlook the most important messages, photos, or emails. But ironically, digital clutter in corporations when used with some new technologies could actually lead to the uncovering of insights. Kiran and Tom walk through a list of ways to Minimize Digital Clutter (https://www.becomingminimalist.com/25-areas-of-digital-clutter-to-minimalize/). They also look at the digitization of the office desk since 1981, demonstrating the steep shift from cork boards and fax machines to Pinterest and PDFs - all adding to digital clutter (https://www.youtube.com/watch?v=HdOfIz-Rtb8). The bottom line? You don't have to delete all your digital assets, but you should simplify what you see. Leave some feedback: • What should we talk about next? Please let us know on Twitter - https://twitter.com/rumjog or in the comments below. • Enjoyed this episode? Let us know your thoughts in the comments, and please be sure to subscribe. ⚡️ Subscribe to Podcast: Google Play: https://bit.ly/2Cl97VS iTunes: https://apple.co/2SEndI8 Spotify: https://spoti.fi/2W7OB2N Stitcher: https://bit.ly/2XXwLkA SoundCloud: https://bit.ly/2Y0t25Z