Tech-Entrepreneur-on-a-Mission Podcast show

Tech-Entrepreneur-on-a-Mission Podcast

Summary: Welcome the Tech-Entrepreneur-on-a-Mission podcast. The goal I have with this podcast is two-fold: to inspire ‘new forms of value creation’ by sharing compelling ideas and stories about the potential we can unlock when technology and people blend in the right way. Share experiences from tech-entrepreneurs like you about what it requires to create a remarkable software business and how to overcome the roadblocks to do so. See acast.com/privacy for privacy and opt-out information.

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Podcasts:

 Product Innovation: How the ERP space is transforming fast, but slow | File Type: audio/mpeg | Duration: 42:02

This podcast interview focuses on product innovation in the ERP space, and my guest is Vinnie MirchandaniVinnie is the founder of Deal Architect - a Technology strategy and negotiation firm listed as a leading "boutique" by the Black Book of Outsourcing. Vinnie also founded IQ4hire, a projects marketplace and Jetstream Group, a sourcing advisory firm.Earlier in his career he had various technology consulting roles at PwC (now IBM) in the US, Europe and Asia, and worked as an industry analyst at Gartner. He wrote various books about the evolution and future of the enterprise software, amongst which Silicon Collar, The New Polymath and The New Technology Elite. His latest book is SAP Nation 3.0, and this triggered me to invite Vinnie again to my podcast.We explore the changes in the ERP landscape over the last 5 years, in particular amongst the big 3 – SAP, Oracle and Workday. We explore why after 20 years of ERP in the cloud today there’s still not enough traction. Here are some of his quotes:“In the last five years, two things have changed. One is SAP has been a product launch machine. I mean, they have launched more products than any other I would say technology vendor.The other thing I saw pleasantly with SAP was how much more open they were this time.One of the disappointing things about cloud has been, you know, it's 20 years old now. NetSuite was born in 98, Salesforce was born in 99. But if you do a breakdown by global world region, by industry, by business process, only about 20% is filled.So, the vendor community hasn’t delivered enough. And on the other hand, the buyer community has been very slow to adopt it.I raised an alarm. I go, this is scary guys. After 20 years, both the buyers and the vendors are just not moving. Something's not right.”During this interview, you will learn four things: Why it’s key for ERP vendors to not just modernize the technology. Modernize the business processes. That a big opportunity is left virtually untouched and that is: leveraging the biggest benefit of the cloud: Data, and utilize that to introduce real value shifts Why it’s key to wake up and realize it’s urgent after 20 years to start moving ‘by-standards’ i.e. ERP legacy customers.  Why systems integrators should start to apply machine learning and automation to their own business. Stop just selling bodies, and leverage the learnings and data from millions of CRM and ERP projects to make these projects faster, cheaper and a lot less risky See acast.com/privacy for privacy and opt-out information.

 Product Innovation: How AI delivers the dream of every IT Operation: Self-healing-systems | File Type: audio/mpeg | Duration: 37:05

This podcast interview focuses on product innovation that has the power to deliver upon the promise of self-healing-systems. My guest is Mohit Gupta, Co-founder and CEO of Opas AIMohit has spent the last decade working on wide variety of interesting problems in Infrastructure, Big Data, and ML. He has run and managed infrastructure at massive scale and felt the pain of operating them first hand. This pain combined with his experience in Big Data and ML led to the incubation of Opas AI. Before founding Opas AI, Mohit has held multiple roles at BloomReach, Groupon, Google, and Amazon. He has a Bachelor in CS from IIT Kharagpur and Masters from UCDavis.The vision behind Opas AI me to invite Mohit to my podcast: to create a single solution that can find, diagnose and fix even the most complex performance and availability problems in your applications and infrastructure. We explore the fact that today’s applications and infrastructure have evolved far faster than the technology used to measure and manage them. We dive into the challenges that this provides to IT teams as they drown under the weight of too many tools, too many dashboards and too many meaningless alerts, and most importantly, how technology such as AI and Machine Learning can help remove these challenges and risks for good.Here are some of his quotes:“We are in this journey of building self-healing systems.It doesn't matter what kind of IT systems you're running.The cost of failure has been growing higher and higher.There was one thing in early 2000 if Amazon site was down for 15 minutes probably wouldn't turn up on New York Times homepage.However, a few minutes outage on your site [today] can become a massive PR issue. And the cost is not only the lost revenue. That's definitely something that you see right away but the bigger cost is in the negative PR. And God save you if you are providing service to other SAAS providers.We can win customers. We can buy contracts. But buying credibility, winning credibility is a long-term process. You may be doing very well for the last five years; a two-hour outage will basically wipe out that credibility.”By listening to this interview, you will learn three things: What are the key ingredients that are required to build self-healing systems What the art of listening to customers really means – the key is not to hear what they are saying, but to understand what they are meaning That you should be problem focused, not solution focused to become truly successful  See acast.com/privacy for privacy and opt-out information.

 Cracking the Curiosity Code: The Key to Unlocking Human Potential | File Type: audio/mpeg | Duration: 36:26

This podcast interview focuses on the power of curiosity in innovation and my guest is Dr. Diane Hamilton, author of ‘Cracking the Curiosity Code’She has contagious passion for improving interpersonal communication.In addition to being a nationally syndicated radio host, award-winning speaker, author, and educator, Dr. Hamilton is a thought leader in the fields of leadership, sales, marketing, management, engagement, personality, curiosity, and motivation. To help improve relationships in the workplace — and performance as a result — Dr. Hamilton draws on her decades of work experience in software, computers, corporate training, pharmaceuticals, real estate, mortgage lending, social media, education, and publishing.She’s a sought-after expert in emotional intelligence, and her research has been published widely in peer-reviewed journals. She is the creator of the Curiosity Code Index® and the author of four books sold worldwide: Cracking the Curiosity Code, The Online Student’s User Manual, How to Reinvent Your Career, and It’s Not You, It’s Your Personality. Her book regarding personalities was required reading at an Arizona-based university, where she was also nominated for an honorary doctorate in addition to her traditionally-obtained Ph.D. in Business Management.The release of her latest book ‘Cracking the Curiosity Code’ triggered me to invite Diane to my podcast. We explore why curiosity is such a key trait to develop in relation to innovation and dealing with top business issues. We do a deep dive on the four factors that impact curiosity, and what to do to start growing the curiosity level inside your organization.Here are some of her quotes:“I first started writing the book because I was very interested in what kept people from being curious.I really found four factors impacted curiosity which were Fear, Assumption, Technology and Environment.My hope was to help individuals and organizations to develop what I think is a such a key trait.It's the spark that leads to motivation and to drive and for you to get anywhere with communication, critical thinking, leadership, creativity, teamwork, engagement, you name all the top issues that leadership struggles with.Once you're able to get all those factors in line and then once your innovative you're productive and you know everybody's engaged, it kind of solves all the problems and so that's what I thought was so fascinating.What I was trying to do was just kind of figure out what's the spark behind it all that's that we could fix and, and that's what I kept coming back to was improving curiosity.”During this interview, you will learn three things: That what made you successful in the past, isn’t likely going to help you survive in the future – And growing your curiosity index is the key to your success Why you have to watch out to avoid aimless curiosity in your organization, and what to do about it That, a critical way to grow a culture of curiosity starts when top management shows they way – they need to walk the talk. Get related ideas from a few blogs  Why your product roadmap fails to deliver remarkable value  How to stay relevant in your category?  Are you in the comfort zone, or where the magic happens? See acast.com/privacy for privacy and opt-out information.

 Product Innovation: How AI can help Marketers generate more leads with higher quality and less effort | File Type: audio/mpeg | Duration: 31:38

This podcast interview focuses on product innovation that has the power to transform the impact Marketers can make by generating more leads, of higher quality, with less effort. My guest is Yonatan Snir, Co-founder and CEO of CliClap, an AI Powered autonomous lead generation and qualification solutionHe is an expert in data driven marketing with over 16 years of experience, helping organizations utilize technologies to improve business performance. In 2016, he founded CliClap together with Arie Zaks, who now acts as their CTO.Prior to CliClap he opened a marketing agency, focused on helping brands transform their marketing operations into a data driven organization. And before that, he served as the Director of Global Marketing Operations at NICE Systems.It was this big idea behind CliClap’s product that triggered me to invite Yonatan to my podcast. We explore why so after so many years of marketing automation the tools we use still suggest visitors to our website the wrong topics of conversation (which is awkward) or ask people for their commitment way before the time is right (which is annoying and pushy). We then address how technology such as AI is offering us a completely different approach to the challenge, one that delivers results almost too good to be true.Here are some of his quotes:“We have a lot of traffic on the website that's not converting today, and many tools and many new tactics are being used to try and fix that. But eventually, we see that only friction converts.The numbers the benchmarks that are stated today by Forrester, Marketing Sherpa and other research, is that we looked at talking about 2 to 4% converting to leads, and only half percent is converted to opportunities.The reason for that, at least from what we found, is that on B2B you give the same experience to everyone.The fact is, it's not a one size fits all. A lot of people are being missed out, because they're not used to getting this kind of experience in today's world, where everything is becoming much more simple in our consumer head.So, the idea is to try and understand for each visitor when, and what's the next best thing. And when it's ready, ready to stick and move to the next level of engagement. Not too soon, not too late.”By listening to this interview, you will learn three things: How, by staying curious and challenging the established and accepted ways of doing, it is possible to deliver remarkable impact How in a crowded, red-ocean market, it is very possible to get customers to shift from a competitive solution to yours by having clear differentiation. Why the traditional cloud solutions for marketing have been focused on the wrong metrics of delivering scale and quantity (i.e. output), where the real impact is created when you focus your product strategy on quality (i.e. outcomes). See acast.com/privacy for privacy and opt-out information.

 How AI is positively influencing the science of buying and the art of selling | File Type: audio/mpeg | Duration: 40:36

This podcast interview focuses on product innovation that has the power to transform how the enterprise does business. My guest is Heidi Messer, Chairman and Co-founder of Collective[i] Heidi has been an active entrepreneur and investor in the digital economy since the commercialization of the Internet. She is the Co-founder and CEO of World Evolved, a platform for global investment and expansion. She is one of the founding members of the Zokei Network, a global network devoted to encourage innovation across art, science, business and technology. In addition, she is an active angel investor in and advises numerous startups.Prior to Collective, Heidi and her brother, Stephen Messer, co-founded LinkShare Corporation, which is host to one of the world’s largest online affiliate networks representing some of the largest and fast-growing publishers and merchants on the web. The company is widely considered to be a pioneer in the world of digital advertising.Heidi is a frequent speaker at conferences around the world and universities on entrepreneurship, digital marketing and advertising, business intelligence and the Future of Internet services. She has been cited in various publications including, The New York Times, Inc. Magazine, and The Nikkei.She has received several honors including being selected as one of 2012’s 100 Most Intriguing Entrepreneurs by Goldman Sachs. The mission behind Collective[i] is to remove uncertainty and inefficiency around how B2B companies generate revenue through their sales organizations. They do so by using AI to remove tasks, identify important social connections and guide sales professionals to the activities that will yield the highest ROI. This approach often gets them referred to as the “Waze for sales” – And this triggered me to invite Heidi to my podcastWe explore why today’s salesforce is wasting 70% of their time on non-revenue generating activities, and why, in order to solve that challenge, you need to go beyond automation. As such we explore how the combination of network-based technology, community-sourced and proprietary data in combination with AI/ML enables to predict buying patterns and provide levels of visibility and actionability previously unattainable for sales teamsHere are some of her quotes:“My co-founder and I got together and said: “What is the next big opportunity?” after watching the marketing world transform, and we saw on the enterprise side and the revenue management side, specifically sales, as being the next big thing. That’s what led us to found a Collective[i], which is short for collective intelligence.”“The entire enterprise will be transformed using a combination of data networks and artificial intelligence. And when I say transformation, what I mean is not automation. I think that's a common misconception. Instead, what we looked at is; Where areas where humans are underutilized? Where are areas where their jobs have become something other than what they were originally intended? And for us, we looked at revenue and in particular sales organizations as a ripe place for this, where this technology could completely reorganize and allow human beings to shine and show their true talents.”By listening to this interview, you will learn three things: Why taking a network approach to creating insights has the power to solve some of our most valuable challenges How, by using AI as a guide, we can raise the potential to increase both the value humans produce as well as the way they value their work. Why being a fast-follower doesn’t work with AI, because the advantages are so far superior. See acast.com/privacy for privacy and opt-out information.

 Becoming a top league performer by intelligently augmenting Financial Operations | File Type: audio/mpeg | Duration: 36:57

This podcast interview focuses on product innovation in the Procure-to-Pay space. My guest is David Griffiths, CEO of FISCAL Technologies, a leading provider of forensic solutions that empower procure-to-pay (P2P) teams across the globe to protect organizational spend.David has 20 years’ experience in growing technology organizations and has spent the last 15 years working with hundreds of Accounts Payable teams to help protect their corporate spend by preventing fraud and reducing risk. Prior to becoming the CEO of Fiscal Technologies, David was Head of  Marketing for Bottomline Technologies, and Commercial Director for European Internet Technologies, a supplier of e-business solutions. David holds an MBA and Honours Degree in Business & Accounting.What triggered me to invite David to my podcast was his vision to enable the finance function to prevent high risk transactions from creating reputational damage and become more proactive at the same time in optimizing performance.We explore the fact we are living in a world where Risk & Fraud are increasing rather than reducing. We discuss why current solutions on the market appear to be so inadequate. How that results in reputational damage, leakage of working capital and underperforming financial performance. And finally, how technology such as AI can be used to deliver remarkable impact.Here are some of his quotes: The whole Procure-to-Pay space is dominated by hundreds of different technology vendors and really sit in two core areas.  Firstly, around procurement and automating the whole procurement process and driving purchase order compliance and POS and three-way matching, and then the other side is about managing invoices and paying those invoices. There's a lot of technologies around automation.  The more feedback we received, and the more research we did, we realized there was nothing to oversee all these different technologies to look at fraud and risk.We found that three-way matching doesn’t work. It hasn't evolved over the last 40 years.So our big idea was to provide oversight to this process, as a lot of organizations now are really exposed to unprecedented levels of risk and fraud. By listening to this interview, you will learn three things: As the velocity of our world increases and our options to get work done enriches as technology evolves, we are creating new foundation for fraud and risk to grow exponentially. That the value of AI is not only to give insights to identify fraud and risk, but possibly more important to also reveal totally new patterns that allow us to prevent these challenges all together. That a lot of value is destroyed due to inertia in the market – the self-believe that ‘everything is under control’ – and that’s not only in the Procure-to-Pay scene. It’s universal.   See acast.com/privacy for privacy and opt-out information.

 Product Innovation: How AI solves both Data Privacy and Customer Experience challenges in real-time | File Type: audio/mpeg | Duration: 37:47

This podcast interview focuses on product innovation around marketing automation that has the power to transform the way can turn customers into buyers by using the power of content personalization, and my guest is Jon Shalowitz, CEO of LiftIgniterJon brings a wealth of experience in building innovative, fast-growth companies. He was CEO at XDN where he transitioned the company​ ​into a category leader for application delivery services and led the company to a​ ​successful acquisition by Fortinet.He then co-founded CloudUP Networks and led the company as CEO to capture a critical part of the cloud data management market.​ ​He then became the CEO of Badgeville, a leader in Enterprise Gamification that got acquired in July 2016 by CallidusCloud, where in turn he created a new division to address the $20B Customer Experience (CX) market. CallidusCloud got acquired by SAP in august 2017, from where Jon moved into an interim CEO role at SnapRoute with the prime objective to re-focus the business. In April 2018 he then became CEO of LiftIgniter – a Series A stage startup that helps B2C and B2B companies optimize their Web-based and app-based customer experiences in real-time.The way LiftIgniter does this intrigued me, hence I invited Jon to my podcast. We explore the challenges marketers have these days in meeting the expectations of their prospects and customers in the digital world we live in, while at the same ensure we are 100% compliant with data privacy regulations like GDPR. It has become impossible to keep up with manual segmentation and tagging as we all expect our suppliers to give us a personalized experience based on our behaviors – in real time. Here are some of his quotes:“I truly think that the marketing stack is in a position to move from evolutionary change that we had with marketing automation, to now something revolutionary with AI and machine learning.The big idea is that customer interactions, customer experience, digital customer experience need to be number one real time, need to pick up on signals in real time. And, related to that, need to be behavioral based, or need to understand your behavior in the moment, or the users’ behavior in the moment, versus the traditional way of tracking and segmenting and really focusing on who you are.It's what you are, what you're doing what you're interested in, in the moment, not who you are, and what you've clicked on at 10 other sites where you came to me”By listening to this interview, you will learn three things: How you can leverage your 1st party data effectively and drive the best possible Customer Experience.  That true breakthroughs in technology can only be achieved by taking a distance from the conventional ways of doing things. Too often we get too engaged with improvement on improvement on improvement, where we should really start with a clean sheet Why as a CEO it’s your duty to gear your company at the most valuable challenge of your ideal customer, not the most interesting challenge. You need to apply a level of adaptability, and with that you’ll turn customers into fans See acast.com/privacy for privacy and opt-out information.

 Product Innovation: How AI can help sales teams beat their numbers every month, quarter, year | File Type: audio/mpeg | Duration: 43:36

This podcast interview focuses on product innovation in the sales execution space that has the power to help companies gain 99% accuracy in their sales cycles, hence achieve big leaps in productivity, and my guest is Dr. Cindy Gordon, Co-founder and CEO of SalesChoice, an AI SaaS Predictive and Prescriptive Guiding Selling Company. Cincy is an expert in SaaS, AI, business innovation, early-stage software commercialization & sales /marketing practices. She has held senior leadership and partnership roles in global B2B Enterprises, including: Accenture, Xerox, Citicorp and Nortel Networks. In addition, Cindy has also been a founder, VC, and an angel in emerging software companies. She is recognized for her innovation and thought leadership, has written over 13 books, and won numerous awards. Cindy’s passion is the constant pursuit of sustainable innovation and the creation of  differentiated experiences to make our world an incredible place. That’s what triggered me, hence I invited her to my podcast.We explore the large-scale challenges sales professionals have in making their targets. The fact that 30% of sales professionals suffer from attention deficit disorder, and that attention span has dropped 50% over the past 10 years are likely making this worse than better. AI is coming to the rescue here. It’s interesting how Cindy defines it: AI is not then new energy, it’s the new oxygen – we have to breath it to be able to do things we’ve never held possible.Here are some of her quotes:“What drives me day to day is probably just ensuring that what is possible is real, and giving people the confidence that they could actually mobilize the change.It's all about building the confidence to just simply be, enjoy, and make it happen. Too often, we get paralyzed. And I think with the speed that has accelerated in businesses worldwide, people need to make more choices about where they're spending their time and what they're working on,The roots of the company are very much focused on that specific problem. The problem is that 30 to 60% of sales professionals don't make their sales plan targets or quotas in the b2b market segment.The speed acceleration or the age of distraction dynamics, b2b sales professionals have one of the hardest jobs in the world because of the noise factor. So that's the backdrop and we thought the thesis was: “Could AI, with predictive analytics and other AI methods, absorb all the historical dynamics of a firm and actually guide them?”During this interview, you will learn four things: Why it’s key to always look for audit trails once you add AI to your solution – Someone needs to be accountable for the predictions. And if you can’t stand in for it, the legal issues will be pretty significant That the new way to deliver your solutions is not to give your users individual insights, but rather universal intelligence of all ‘the moves’. This will enable them to add even more value. That one of your responsibilities and opportunities as a vendor is to ensure the data keeps improving – that bias isn’t there – and that your predictions are transparent Everyone knows that to succeed you have to stay focused. Possibly more important is to stay curious. To be looking around the corner for the market dynamics and the edge plays. Leave yourself and your people time to pause, reflect and time to think. See acast.com/privacy for privacy and opt-out information.

 Product Innovation: How the combo of AI and a Sales rep can increase sales productivity by +80% | File Type: audio/mpeg | Duration: 32:43

This podcast interview focuses on product innovation in the sales & marketing space that has the power to increase sales productivity by over 80%, and my guest is Ilan Kasan, Co-founder and CEO of Exceed.ai.Ilan has built an 18-year career in general management and product management for leading global technology companies including, Cisco, WebEx, Comeet and others. During this time, he’s proven to be a successful product leader with a track record in product, user experience, sales, marketing and building products users and enterprises love.September 2016 he co-founded Exceed.ai around the believe that sales reps time is precious and shouldn’t be wasted on menial, error-prone tasks. As such they developed an AI Sales Assistant that automatically contacts and engages every lead in a personalized and timely manner in order to qualify and book meetings directly on the reps calendar – allowing the reps to be laser focus on high priority prospects. This triggered me, and hence I invited Ilan to my podcast.We explore the challenges every sales person has in performing in their job and how the bulk of their time is spent on tasks that doesn’t use their competence in the optimal way. We also assess why a combo of Sales + AI delivers better results than simply trying to replace Sales with AI. Here are some of his quotes:“I was exposed to what I would say, the middle of the funnel, how difficult it is to manage a huge stream of leads.I saw how much time reps are spending in qualifying, getting back and trying to set appointments, talking to the wrong people. How much leads that marketing created, nobody actually does anything with them, or follows up one.So I understood that there is a real problem here that is not necessarily related to the size of the company, but rather the nature of the business.The problem is that when you get all those leads at the top of the funnel, you get a lot of noise.It takes a lot of time to work through all the leads and filter out the noise, it’s a very manual process.And we said, okay, this is repetitive, it repeats itself. So let's find a way to automate it.”By listening to this interview, you will learn three things: That to stand out in your market you have to deliver value beyond what ‘the others’ are delivering. Going the extra mile pays off – and sometimes this means pivoting your business That the value is in the data – and often the data is not there – meaning you have to find clever ways to gather it. This way you are not building a product, but a platform that gets smarter and smarter with every interaction. How your biggest competitor is often ‘doing nothing’ because of inertia or simply being sceptical (or fearful). The ultimate way out is positioning.  See acast.com/privacy for privacy and opt-out information.

 How AI can help any organization hire top- rather than mediocre performers | File Type: audio/mpeg | Duration: 43:57

This podcast interview focuses on product innovation that has the power to transform how we hire and manage talent going forward, and my guest is Caitlin MacGregorCaitlin is the CEO and Co-founder of Plum. After being President/Director of two startups, Caitlin founded Plum in order to transform talent processes to prepare business owners, like herself, for the future of work. Shortly after that Plum was awarded 2015 Gold Stevie International Business Award for best new product or service of the year. The company was also selected as one of the top 10 businesses led by women by Springboard Enterprises NYC.Plum's mission is to help companies hire, grow, and retain top talent with the power of AI and Industrial/Organizational Psychology. By measuring talents such as leadership, innovation, communication, and more, Plum hosts the single largest database for quantifying human potential at every stage of the employee journey – from predicting successful hires, to informing professional development, strategic workforce planning, and high-potential capability.This inspired me, hence I invited Caitlin to my podcast. We explore the challenges in the talent acquisition and talent management space, and why so many companies are challenged with hiring top-talent. We also discuss how the changes in the marketplace require a different approach to hiring, reskilling and redeploying talent – and why assessing where someone went to school or previously worked are not the things to look for.Here are some of his quotes:“Some of the statistics say that, you know, it's a 5050 chance of hiring the right person.a lot of companies don't have 50% turnover. So a lot of the times what happens is that they're putting up with mediocre peoplemaybe 20% of their organization are top performers. But if you understand what makes a top performer, a top performer and you can quantify that you can actually change that ratio so that you can get more people that that meet that criteria.It's really understanding that every single person has the potential to be a top performer, just not in every role, that that each person has a unique set of talents that makes them a top performer. So it's really about how do you figure out what makes somebody exceptional, and then figure out the jobs that will allow them to succeed.”During this interview, you will learn three things: How looking for scarcity can you help uncover hidden market gems that you can open by democratizing access That to maximize your success as a software business it’s key to align every aspect – all the way from product strategy, to marketing, to Sales, to Service How new business ideas are born by looking with a fresh eye at what it takes to avoid costly investment decisions. See acast.com/privacy for privacy and opt-out information.

 How Human-Machine Combos can be Used to Avert Financial Tornado's | File Type: audio/mpeg | Duration: 57:12

This podcast interview focuses on product innovation in the financial market place that has the power to transform the way we know it in two ways:1)   Avoid disruptive shifts in financial market mood by predicting subtle changes in perception bias2)   increase shareholder value and impact by offering a new framework of decision-making such that early insights into market dislocations and even market crashes can be timely converted into new and persistent high-impact alpha opportunity centresMy guest here today is Efrem Hoffman. Efrem Hoffman is the CEO, Founding Architect, and Thought-Leader of RunningAlpha., an independent Canadian Innovation Think-Tank, headquartered in Toronto.As stated on his website, he is employing patented and proprietary insights at the intersection of physics and finance to exploit market uncertainty for competitive advantage. He is a thought-leader in Smart-Data Analysis Architecture and developer of Quantum-Behavioral Trading Machines; Efrem has 145 citations and multiple info-tech patents referenced in patents granted to Fortune 500 Companies & Research Think-Tanks. His vision is rethinking the way we can collaborate with nature in order to better exploit uncertainty. With that in mind he’s developing solutions that help investors build intelligent portfolios and see investment opportunities before they arrive and get noticed; From there he helps them navigate around value traps to ensure they maximize the value of their portfolio.This inspired me, hence I invited Efrem to my podcast. We explore the challenges and risks of today’s financial market and how technology can help investors gain early access to opportunities previously only discoverable by the Wall Street influencers. Here are some of Efrems’ quotes:“My passion has always been about understanding the physics that underlies very unusual eventsI did a thesis, which was basically on applying vision techniques in three dimensional radar in order to use AI in a more constructive way, where humans don't make assumptions about what's actually happening in the surroundingsI patented technology and there was a couple people one from the University of Manitoba some of the professor's there that noticed that some of the applications of that AI approach that was used for atmosphere Tornado prediction could be applied to the financial markets and understanding you know extreme behavior and what causes it to take shape during manias and panicsI'm most proud of actually being able to make predictions of it in very narrow windows and, and persistent windows for when market crashes are likely to take place, so that I could actually protect investors portfolios during those events” During this interview, you will learn three things:1)   Why the best decisions can only be made when bias and sentiment are taken out of the equation – this is a clear area for technology to play a significant role2)   That the solutions we create gain in value exponentially when they not only predict a certain high risk event accurately, but also provide the ingredients to prevent it all together3)   How to find new sources for innovation by searching for use cases that are driven by extreme uncertainty. Tackling uncertainty can turn into clear competitive advantage. If you want to learn more about Running Alpha’s latest product “Capital Market Trends,” visit CapitalMarketTrends (use promo code: xIqpTTo2, to get a +55% discount on this monthly subscription service for up to 12 months; Coupon Expires March 22nd/2019; you can cancel at any time without getting charged for the following month).Disclaimer: This is strictly for educational and informational purposes – and only reflects the output of Running Alpha’s Market Intelligence.   See acast.com/privacy for privacy and opt-out information.

 How to create triple digit ROI by applying AI and Machine Learning to our most common challenges. | File Type: audio/mpeg | Duration: 41:56

This podcast interview focuses on product strategy principles that, if applied, have the power to deliver transformative innovation with triple digit ROI. My guest is Richard Boyd, CEO at Tanjo.AI Over the last twenty-six years Richard has led or helped create some of the most innovative game technology companies in the industry. He has served as a game technology consultant for a wide variety of industries including energy, healthcare, education and motion pictures. At Aerospace giant Lockheed Martin he created and led a group of innovative engineers and designers across all mission areas called Virtual World Labs. Richard joined Lockheed Martin in 2007 with the acquisition of 3Dsolve, a North Carolina-based computer game technology firm where he was founder and CEO. Prior to that, Richard was CEO of 3dVillage.com, which was acquired in 2001. 3dVillage was a spin out of Virtus Corporation, where he served for a decade on the executive management team that created several pioneering computer gaming companies including Red Storm Entertainment, with author Tom Clancy; iRock Entertainment with Ozzy Osbourne; and Timeline Computer Entertainment, with author Michael Crichton. Today he’s the CEO of Tanjo.AI, whose mantra is “improving businesses, industries, and people’s lives by bringing machine learning and automation to the world.” This triggered me, hence I invited Richard to my podcast.We discuss how a pragmatic approach to solve every day problems can result in transformative impact. We, too, often don’t realize the solution is right in front of our eyes, and the technology is already there to solve it. Or, as William Gibson once quoted: “The future is already here, it's just unevenly distributed.” Here are some of his quotes:“The sort of thing that drives me is bringing technologies to bear on problems to solve them in ways that humans alone cannot.it's looking at whatever activity you're engaged in, and trying to figure out, what should humans be doing with our effort and our attention? And what should we be turning over to machines? The answer to that question changes almost every year, almost every month now,Organizations who understand that, and figure that out, will prevail. And those who don't, not only won't be competitive anymore, but they'll appear to be handicapped very soon.If you can do something one time and have it not only pay 10x return on investment, but have that return be an annuity... something you're going to get every single year... the earlier you do that, the more effective and competitive you're going to be.That's why everyone should be waking up and looking at this carefully. You cannot afford not to look at machine learning”  By listening to this podcast you will learn three things:  The key to machine learning innovation is to not overthink or over reach. Don’t paralyze yourself with endless research with uncertain outcomes, but instead be pragmatic. Look for proven applications with low risk -the low hanging fruit problems unique to your industry, that have a certain outcome, can be applied immediately, and scale radically i.e. can bring a lot of positive impact to many people very quickly Every organization has big data today. But it is a big leap from big data to information (data that has been organized) and an even bigger leap from information to Intelligence (information that has been computed so humans can act upon it) Machine learning is uniquely designed to help your organization make these leaps. The next century is about simulation. So, those who become adept at harnessing data intelligence to predict the future and be prepared for it, those companies will prevail.    See acast.com/privacy for privacy and opt-out information.

 How Human-Centric AI can help CPAs find 15x more fraud, irregularities and misconduct | File Type: audio/mpeg | Duration: 32:47

This podcast interview focuses on product innovation that has the power to 10x the impact financial auditors can make, and my guest is Robin Grosset, CTO at MindBridge Ai.Robin has a track record as an entrepreneur having worked in and founded successful software startups. This resulted in him joining IBM in 2008 through the acquisition of Cognos, where he was appointed IBM Distinguished Engineer. He has over 20 years commercial experience in the field of Business Analytics. He was formerly the technical lead and chief architect for Watson Analytics, a ground breaking cognitive analytics system. Robin holds many patents in the areas of analytics, data processing and security. Today he leads the development of the next generation MindBridge Ai Auditor that helps professionals detect and prevent financial anomalies, including fraud. He’s created a vision around Human Centric AI, and shared that vision recently at TEDxOttawa.This triggered me, hence I invited Robin to my podcast. We explore the challenges in the financial auditing practice, and how, even after decades of automation, much of the practice is still very manual and sample based, leaving huge opportunities for fraud. Beyond that we discuss why a human/machine approach will always provide the optimal combination to create exponential impact. Here are some of his quotes:T“The existing ways that people were analyzing or auditing financial transactions were inadequate.So typically they would use rules based systems to do this.With the rules based system, you're only going to catch something, you're going to find something that you anticipateSo, you have to imagine the circumstance to find the rule and then it will work it will never find anything you don't anticipate.We think it's a significant problem in the world. There's a group called the ACFE, the Association of Certified Fraud Examiners and they estimate the amount of fraud, misconduct, irregularities that are caught each year. They say that that's about $200 billion a year. But they also estimate the amount we don't find. So, these are not detected by any method we have today. And that amount is about somewhere north of $3 trillion per year. So, if you put that number in perspective, that's a little under $500 for every person on the planet”During this interview, you will learn three things: Why human-centric AI is the key to take the impact and insight of virtually any solution to a different level How to overcome inertia for AI driven innovation, especially in an industry that’s sceptical by design That to truly disrupt an industry you need to avoid looking at the conventions and existing standards See acast.com/privacy for privacy and opt-out information.

 How AI helps increase win-rates by 54% by providing market intelligence | File Type: audio/mpeg | Duration: 28:12

This podcast interview focuses on product innovation around competitive and market intelligence, and my guest is Jonah Lopin, Co-founder and CEO of Crayon, a market intelligence software company based in Boston. Jonah started his career as a strategy & operations Consultant at Deloitte where he led projects for Fortune 500 clients in the Manufacturing, Consumer Business and Healthcare industries. After that he worked at eBay and UNICEF. In 2007 he joined Hubspot as the 6th employee, and served as Vice President of Customer Operations as they grew from 0 to 50M$. In 2012 he co-founded M80 Labs Inc, and from there he co-founded Crayon to solve the problem virtually any business suffers from: a lack of competitive and market intelligence.This triggered me, hence I invited Jonah to my podcast. We explore the challenges many organizations face in making informed decisions based on market intelligence that’s often incomplete, dated or completely absent. We also review the flaws in the business software industry in providing solutions to the wrong problem.Here are some of his quotes:“The belief behind the business where we believe strongly is that businesses should be as good at understanding and acting on everything happening outside the four walls of the business as they are at understanding and acting on all of their internal dataWhen it comes to these, like fundamental questions about your market, and your competitive set, and your brand, and your customers, and what's happening outside the four walls, the business, many companies just have never had a good way to get insights there.Marketing's not about arts and crafts anymore. And it's about data and science. And that was really true. But we never helped our customers apply that data driven execution to what was happening outside the four walls of the business. And so, you know, we would help our customers generate tons of sales leads, but we never helped our customers figure out how do you close those.”By listening to this interview, you will learn three things: That the opportunities to create new categories are for grabs, as long as you ask the right questions That too build a credible software business you need to move far beyond ‘the Shiny Object’ syndrome and solve the ‘complete problem’.  How persistence to stay laser focused, stay in the fight, and making progress each and every day will be paid with remarkable results See acast.com/privacy for privacy and opt-out information.

 Product innovation: How AI transforms highly ineffective advertising into highly relevant engagement | File Type: audio/mpeg | Duration: 43:00

This podcast interview focuses on the product innovation that has the power to transform the advertising industry and the way marketers can make a remarkable impact, and my guest is Peyman Nilforoush.Peyman is the CEO and CoFounder of inPowered, which is the AI-driven content amplification platform of choice for the world’s largest brands. inPowered has been named the 2018 OMMA awards finalist for Artificial Intelligence and Native Advertising, the best content amplification platform by Digiday and one of the top tech marketing companies to watch by VentureBeat.Peyman along with his brother Pirouz previously founded NetShelter in 1999, which became the world’s largest technology property on the web before being acquired by Ziff Davis in 2013.The company’s fast growth earned numerous distinctions in the Inc 500|1000, Deloitte Technology Fast 500, Profit 100 and the San Francisco Business Times Fast 100.He’s a visionary tech and media entrepreneur who has been a featured TV guest on Fox Business with Maria Bartiromo, BNN and quoted regularly in the Wall Street Journal, Forbes and was named to the 2010 Who’s Who in Business Publishing by BtoBOnline’s Media Business Magazine. He was also a recipient of Profit 100’s Young Entrepreneur Award for being the youngest CEO on the Profit 100 list of fastest growing companies in 2009.The claim on the InPowered website states this: “We help brands discover and amplify credible, trusted content so that they can contribute to a more informed marketplace.”This triggered me, hence I invited Peyman to my podcast. We explore what’s broken in the advertising industry, and how this is resulting in single-sided benefits for only the advertising platforms. We then dive into an approach that’s not only transforms the way we’ll advertise in the future, but also the way we have to step-up our marketing game in general.Here are some of his quotes:What we saw in the journey leading up to imPowered was essentially interruptive advertising not working.You're looking at point 0.05 percent, not 0.5 percent, not 5%. 0.05 percent click through rate on a banner ad on average.And that's after using tons of technology and targeting and everything that you can imagine.This is not about technology. This is not about targeting, it's not about audience or any of that. It's really about the form, which is when you're interrupting somebody, they simply don’t want to engage. They simply tune out.There's got to be a way to do this in a much more consumer friendly way. In a way that it actually adds value to the consumer.So, what if, instead of putting banner out and interrupt their experience, we actually turned articles reviews, blog posts, any kind of contents, into an ad, and we got them to read that content?I did it as an experiment and ended up delivering a 65% increase in consideration.it just blew every single advertising they had ever done.By listening to this interview, you will learn three things: Why, If you want to deliver real impact you’d better do away with the conventional wisdom, and approach the problem from the opposite direction That to truly disrupt a market you not only need to have excellent product, but also a revolutionary business model. Shifting from consumption to outcome based charging for example How it’s not only possible to deliver remarkable impact with a solution, but also create many new jobs. See acast.com/privacy for privacy and opt-out information.

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