Podcasts about monkeylearn

Nick Shackelford was a pro soccer player for the LA Galaxy turned online marketing superstar. You've probably seen him featured in FOUNDR magazine or speaking on stage of the wildly successful event he co-founded - Geek Out.  I first met him when we both spoke at Ezra Firestone's event in Denver several years ago and I've been a fan ever since. Nick is a master of media buying. He knows how to build agencies. And he has a really fresh take on creatives. We go deep into his creative process in this episode. Here's a look at what we cover: How a lack of diversity in your ads could be killing your results. Nick's agency's creative process. This is pure GOLD. How to use Amazon reviews to jump start your creative process - This strategy is so simple, so effective, you'll kick yourself for not having used it. How a tool called, Monkey Learn, can help you key in on the right words and hooks to use with your audience. Why audience targeting is nearly dead and creative is KING. How Nick uses Creative Strategist and why you should consider one too. How to work with the algorithm rather than against it. 

Guillaume Cabane comes on the Tech Bound podcast to talk about investing your time like a VC, building Growth roadmaps, and running experiments. A true master of his craft, Guillaume is the former VP of Growth at Drift, Segment, and Mention, current VP of Growth Gorgias, and advisor to G2, Abstract, Metadata, Madkudu, MonkeyLearn. Timestamps: 0:00 Introduction 1:23 Be the VC of your time 4:28 The risk-taker and tinkerer mindset 8:57 The first things Guillaume would look at when growing a company with strong PMF 12:18 When to be CAC-efficient and when not 15:16 Building a Growth roadmap 17:32 The master's tools 20:43 EVELYN - Experiment Velocity Engine Lifting Your Numbers 24:49 What distinguishes good from bad experiments 27:47 Creating value where others don't see value 31:36 Guillaume's Zone of Genius 31:56 Teams over Self 32:16 How failure set Guillaume up for success Show notes https://twitter.com/guillaumecabane?lang=en https://www.linkedin.com/in/cabane/ www.kustomer.com www.madkudu.com EVELYN: https://airtable.com/universe/expZpCNVlkaoLGNAr/evelyn-experiment-velocity-engine-lifting-your-numbers Cialdini - Influence: https://bookshop.org/books/influence-the-psychology-of-persuasion-revised/9780061241895 Shackleton - Voyage: https://bookshop.org/books/endurance-shackleton-s-incredible-voyage-anniversary/9780465062881 Subscribe to the channel for more videos: https://www.youtube.com/channel/UCoQ5uxfxcnObjzLAk1lmM6g?sub_confirmation=1 Subscribe to the Growth Memo for more content: growthmemo.kevin-indig.com Follow me on Twitter: https://twitter.com/Kevin_Indig iTunes: https://podcasts.apple.com/us/podcast/tech-bound-conversations/id1488939659 Spotify: https://open.spotify.com/show/1Ze0gqMmuh22rR8rVv0oz8?si=87cysHp3S5yEzNuuUK9Ezg Soundcloud: https://soundcloud.com/kevin-indig #growth #growthmarketing #vc

Raúl Garreta is the Co-Founder & CEO at MonkeyLearn- a startup that applies Artificial Intelligence and Machine Learning to analyse text and empower support departments. Within the episode, we explore how support is being transformed by AI tools; how these tools are not a threat human agents but a tool to make their lives better; and how the insights that AI & Machine Learning can uncover from ticket data could blow static measures like NPS out of the water and place support as the centre-piece of customer research. We hope you enjoy this techy-twist to support!

Att fylla 250 verkar gå de båda Skolspanarna förbi. Istället blir det ett mitterminsomdöme där de båda pedagogerna gör det de allra helst av allt gör. Nämligen tipsar om digitala verktyg som i bästa fall kan funka i skolan. De utgår från en 35 verktyg lång lista och väljer ut de saker de i bästa fall har testat eller iaf kan tänka sig testa. Det blir Tagx, Invole.me, Panopto, MonkeyLearn, Koute. Storilo och mycket mycket annat som de knappt kan uttala. Den här gången är allt som det en gång alltid varit. Det blir ett samtal som skola, digitalisering och lite annat. 

Marketing & The Machine helps marketing professions make sense of how artificial intelligence and machine learning impacts their craft. I aim to cut through the noise in a fun and thoughtful way, distilling the latest industry news and giving you actionable insights so you can make sound marketing decisions with a clear perspective. Story 1 Adobe Tests an AI recommendation tool for headlines and images Adobe recently demoed a prototype showing a new way to use artificial intelligence to automatically personalize website content for different visitor personas. Story 2 New predictive capabilities in Google Analytics New predictive marketing tools in Google Analytics are going head-to-head with Facebook's offerings and helping you better target potential buyers and potential churners. **Prerequisites** In order to successfully train predictive models, Analytics requires the following: A minimum number of positive and negative examples of purchasers or churned users. In order to be eligible, it is required that 1,000 users triggered the relevant predictive condition and that 1,000 users did not. Model quality must be sustained over a period of time to be eligible. Predictive metrics for each eligible model will be generated for each active user once per day. If the model quality for your property falls below the minimum threshold, then Analytics will stop updating the corresponding predictions and they may become unavailable in Analytics. You can check the eligibility status of each prediction by going to the predictive section within suggested-audience templates in the audience builder. Additional info on setting up predictive metrics in Google Analytics: Here's how to sign up for the App + Web property beta as well as a step-by-step tutorial on audience creation and predictive metrics. Ensure you have purchase events implemented or you're automatically measuring in-app purchases. Story 3 MonkeyLearn raises 2.2M to build out its no-code AI text analysis service If you can manage a spreadsheet, then a new low-code app promises to help even the tech defunct parse, train, and get real results from their data. Misc. Sign up for Machine Learning for Business Professionals for free on Coursera. Look for new episodes every-other-week. Subscribe today in your favorite podcast app. Find out more about the host, Bob Hazlett, at https://www.bobhazlett.com/

Brian and Don have worked hard over many years building community for Pythonistas. Wonder how many folks in the Python community knows about Uruguay as a hotbed of Python use. Tryolabs has been slinging Python and ML for the past ten years. Besides helping nearshore customers in the U.S. solve business challenges with AI, Tryolabs spun out a successful startup, MonkeyLearn. Ernesto Rodriguez di Paolo our guest for this episode presented MonkeyLearn for a PyCon Startup Row event hosted by Grace Law and SF Python. MonkeyLearn won over an impressive judging panel to win a place at PyCon Montreal 2015. Judging panel included bethanye McKinney Blount, founder of Compaas; Leah Culver, founder of Breaker; Bebe Chueh, founder of Atrium LTS; Kat Manalac, partner at Y Combinator; and Christine Spang, founder of Nylas.

Hello and welcome back to Equity, TechCrunch’s venture capital-focused podcast, where we unpack the numbers behind the headlines.We wound up having more to talk about than we had time for but we packed as much as we could into 34 minutes. So, climb aboard with Danny, Natasha, and myself for another episode of Equity.Before we get into topics, a reminder that if you are signing up for Extra Crunch and want to save some money, the code "equity" is your friend. Alright, let's get into it: Robinhood is back in the news this week after a New York Times piece dug into its history, product decisions, and more. Tidbits galore are to be had, but the Equity crew wanted to debate the morality of providing exotic financial tooling to less-experienced users. We followed that debate with a dive into immigration, the latest news from the government, and our takes on the matter. TechCrunch has covered the recent news, and provided some context on the broader concept. Our takeaway is that doing self-defeating things for no reason isn't brilliant for the country as a whole. Postmates has a home! After winding up somewhere in the middle of the pack of the on-demand cohort a few years back, the rise of DoorDash put Postmates in a pickle. Happily, Uber was on hand to de-brine the unicorn for $2.65 billion in stock. That's a bit more money than Postmates' last valuation. What we want to know next is how the sale price impacted common stockholders. Email us if you know. Palantir has filed to go public, but privately, so that's really all there is to say about that. Unless you need a history lesson. Finally, funding rounds. We had three this week: MonkeyLearn raising $2.2 million for no-code AI, Quaestor raising $5.8 million for startup financial tooling, and $4.5 million for Mmhmm which is both timely and neat.Whew! Past all that we had some fun, and, hopefully, were of some use. Hugs and chat Monday!

Hello and welcome back to Equity, TechCrunch’s venture capital-focused podcast, where we unpack the numbers behind the headlines.We wound up having more to talk about than we had time for but we packed as much as we could into 34 minutes. So, climb aboard with Danny, Natasha, and myself for another episode of Equity.Before we get into topics, a reminder that if you are signing up for Extra Crunch and want to save some money, the code "equity" is your friend. Alright, let's get into it: Robinhood is back in the news this week after a New York Times piece dug into its history, product decisions, and more. Tidbits galore are to be had, but the Equity crew wanted to debate the morality of providing exotic financial tooling to less-experienced users. We followed that debate with a dive into immigration, the latest news from the government, and our takes on the matter. TechCrunch has covered the recent news, and provided some context on the broader concept. Our takeaway is that doing self-defeating things for no reason isn't brilliant for the country as a whole. Postmates has a home! After winding up somewhere in the middle of the pack of the on-demand cohort a few years back, the rise of DoorDash put Postmates in a pickle. Happily, Uber was on hand to de-brine the unicorn for $2.65 billion in stock. That's a bit more money than Postmates' last valuation. What we want to know next is how the sale price impacted common stockholders. Email us if you know. Palantir has filed to go public, but privately, so that's really all there is to say about that. Unless you need a history lesson. Finally, funding rounds. We had three this week: MonkeyLearn raising $2.2 million for no-code AI, Quaestor raising $5.8 million for startup financial tooling, and $4.5 million for Mmhmm which is both timely and neat.Whew! Past all that we had some fun, and, hopefully, were of some use. Hugs and chat Monday!

Hey folks, this time we are tearing down a special email, because it actually got Jeremy to reply with interest, and we all know by now he has high standards when it comes to cold email. So today you will hear a very good cold email that uses a few interesting tactics, and you’re going to get a lot out of it. We also have a surprise for you in the second part of this cast! For anyone looking to get a deeper insight into proper cold email research, customization and a great approach to writing cold emails that get replies, here is good news. We asked Diego Ventura, the founder of Monkeylearn and author of the cold email we’re tearing down in this episode, to reveal his process. We asked him a few questions that should help you adopt a bit of the mindset shift when it comes to writing your own emails, researching prospects and taking this game to a much more personalized level. Now tune in and hear both sides of the story. To learn more about good tactics for writing and sending cold emails, check out the The Fox and The Crow episode and Episode #046 about artificial intelligence that we mention in this cast. Also check out the other teardown episodes listed below and send us any questions or comments to podcast@quickmail.io. Happy cold emailing, Jeremy and Jack OTHER TEARDOWN EPISODES: Episode #053 - Teardown: Contact Form Outreach Episode #048 – Teardown: Wins, Missed Opportunities and Pitfalls to Avoid Episode #038 – Cold Recruitment Email Teardown Episode #025 – Email Teardown Episode #014 – Email Teardown: Snype.io Episode #011 – Email Teardown: Casewave Episode #004 – Email Teardown: Skillshare P.S. Hey cold emailer, if you got some value from this episode, please leave us a 2 sentence review on iTunes, Stitcher or Tune-in. It’s a quick way to help other growth-minded folks like us find this podcast, send awesome emails and make everyone’s inbox a better place.

David Skok is a serial entrepreneur turned VC at Matrix Partners. He founded four companies: Skok Systems, Corporate Software Europe, Watermark Software, and SilverStream Software and did one turnaround with Xionics. Three of the companies he founded went public and one was acquired. In 2001 David joined Matrix Partners, who had backed his last two startups, as a General Partner. David’s successful exits as an investor at Matrix include: HubSpot, JBoss, AppIQ, Tabblo, Netezza, Diligent Technologies, CloudSwitch, TribeHR, GrabCAD, OpenSpan and Enservio. David currently serves on the boards of Atomist, CloudBees, Digium, Meteor, Namely HR, Salsify, and Zaius. You can also find David’s amazing blog here! Huge thanks to Hardi Meybaum and Jason Lemkin for the intro to David today. In Today’s Episode You Will Learn: What are the leading indicators that early stage VCs dig deep on to assess the strength of product market fit? What level of traction both in enterprise and SMB would an early stage investor deem exciting enough to pursue? What levels of engagement are sufficient enough to suggest cause for a much larger and increased round? How should founders assess sales rep productivity? What can they do to actively shorten the ramp time? How will early stage investors analyse the ramp time? What suggests repeatability of process? Why does David believe there is no point focusing on CAC/LTV in the early days? What is the single biggest thing that founders can do to show repeatability of process and revenue as fast as possible? What is the most common reason that people miss plan? How must the mindset of the founder switch from extreme frugality to hyper growth scaling? When is the right time for this transition to take place? What are the inherent challenges to this switch? Read the full transcript on our blog. If you would like to find out more about the show and the guests presented, you can follow us on Twitter here: Jason Lemkin Harry Stebbings SaaStr David Skok If you’re looking to simplify file version control, ensure data security and save time while increasing accessibility, Egnyte is the right solution for your business. Egnyte delivers secure content collaboration, compliant data protection and simple infrastructure modernization; all on a single SaaS platform. Founded in 2007, Egnyte is privately held, headquartered in Mountain View, CA and supports thousands of businesses worldwide. For more information, please visit egnyte.com/SaaStr. MonkeyLearn allows companies to easily analyze text with Machine Learning. Customers like Clearbit and Segment are using MonkeyLearn to turn emails, support tickets, customer feedback, and documents into actionable data. Their platform makes it super easy to classify texts by topic, sentiment or intent or to extract specific data such as keywords, names, and companies. MonkeyLearn makes teams more efficient by automating business processes, getting insights and saving hours of manual text data processing. And if you would like to learn more, head to monkeylearn.com/saastr, that is www. m o n k e y l e a r n .com/saastr. Plus, listeners of the SaaStr podcast will have a very special opportunity to purchase monthly plans for half the price. So, check out MonkeyLearn and start getting more out of your text today.

In today's episode of The Art of Passive Income—Round Table edition, Mark is joined by: Tate Litchfield Erik Peterson TODAY'S TOPICS Deed of Trust—What is a deed of trust and when do we use it? We also go over why we use land contracts instead. But what happens when the buyer on terms needs the deed to make improvements? Erik shares his protocol with us. Marketing—Black Friday and Cyber Monday strategies. The guys share their strategies and how they fared after the two biggest shopping days of the year. Should your Holiday marketing stop there? Land sales don't slow during the holidays. You can create the demand… take advantage of Black Friday and Cyber Monday promos. Keep making it irresistible for them, because we are busy throughout December. -Mark Plus, we touch upon the BUYERS LIST and if you're sending too much, or not enough. How do you know when you have found that sweet spot right in the middle?  And finally, we go over all the cool features of GeekPay! TIP OF THE WEEK Mark: Check out MonkeyLearn.com to turn emails, tweets, surveys, or any text into actionable data. You can automate business workflows and save hours of manual data processing. It integrates with Zapier and it's got an API as well. Tate: Check out this website called BeFunky.com. It's a free photo editing service.Through the edited pictures from this website, I was able to sell the properties that had not been sold for a very long time. Erik: Check out CapForge for bookkeeping services. Cap Forge does it all for you and it's priced pretty reasonably. Isn't it time to create passive income so you can work where you want, when you want and with whomever you want?

Ari is flying solo on this episode - Nick is once again out of the country, visiting one of the 17 time zones the Leverage team is spread across. But the resources Ari has to share are pretty interesting, nonetheless. He highlights a new service that is essentially an employment board that offers jobs for felons - the 70 million people who have been formerly incarcerated and find it difficult to get a job as a result. He’s also going to introduce you to a service that enables you to get compensated for delayed or canceled flights, and tells you how you can use another free service to track the places in your shared accounts where you might be vulnerable. It’s all on this episode of Optimize, Automate, Outsource. Providing jobs for felons could be a really good thing for your company. It’s a normal thing for employers to be skeptical of hiring people with a criminal record. But many times, though the people in question have served their time and have truly reformed, their past haunts them still. A new service called 70 Million jobs is a job board for those formerly incarcerated and is an opportunity for companies to give offenders a second chance and the ability to change the course of their lives going forward. It’s a great idea and one Ari highlights on this episode. Get Service makes a pivot and focuses on helping you get money back from airlines. Anyone who flies routinely has had the experience of a delayed or canceled flight. Airlines are quick to give you the very least they can in order to pacify you - when in reality what is fair is often much more. That’s where “Service” comes in - it’s a service that tracks your flights with an eye toward finding places the airline should have done right by you but didn’t. And they go to work on your behalf. Find out how you can use this service to get compensated for the inconveniences you’ve experienced as you’ve traveled. Zapier’s LeadScore integration enables you to learn about your sales leads. With the advent of “social selling” it’s vital that you know as much about your leads as possible before you make contact. The more the person on the other end of the interaction is able to feel that you care about them in a personal way, the more likely it will be that you are able to build the rapport that will fuel a long-term relationship. That’s why Zapier has created its “lead score” integration, a way for you to find out details and history of your leads easily and automatically. It’s a great tool that Ari describes on this episode. Do you know where you are vulnerable online due to your own sharing of resources? Almost every business online is sharing resources via Dropbox, Google Drive, Box, or some other group sharing service. But did you realize that there are built-in vulnerabilities that are easy to lose track of over time? Marshal is a fast, easy way for companies of any size to uncover sensitive data exposed and unprotected in their cloud. It sifts through your online sharing accounts and within minutes will alert you to exposed Social Security Numbers, credit card numbers, email addresses, and phone numbers — and it will tell you whether those files are being shared or have public links enabled. It’s a free service so everyone should check it out. Featured Resources Mentioned On This Episode [1:11] Update on the new “Dashboard” software. [1:34] Get Service: Pivots the team has made. Now it’s specifically aimed at airline issues. [3:01] Seventy Million Jobs: A job board specifically for those formerly incarcerated. [4:24] Zapier’s new “Lead Scoring” integration for their service. [5:55] Ari’s “top secret” project using MonkeyLearn. [6:34] Marshall: Know what you’re sharing. Other Resources Mentioned Text “Leverage” to “444999” to subscribe to the mailing list and get the first chapter of our new book. Defy Ventures: Nick has been involved with this charity. Stripe   Find out more about what we’re doing at Leverage at www.getleverage.com and www.leveragepodcasts.com

En este episodio hablamos con el co-fundador y CEO de MonkeyLearn, una empresa de Latinoamérica con productos de Machine Learning. En la entrevista cubrimos aspectos del background de Raúl y como llegó a fundar MonkeyLearn así como también bastante información sobre Machine Learning y la industria. Muy interesante para aquellos fanáticos y emprendedores en Datos.