Podcasts about other ai

Curious how AI is transforming the way home service businesses handle customer calls and convert leads? In this episode of Owned and Operated, John sits down with Rafi, from Avoca—an innovative voice AI platform purpose-built for the trades. Together, they dive deep into how AI is reshaping call center operations, reducing reliance on human CSRs, and boosting conversion rates across the board.From 24/7 call answering to real-time customer interaction, Avoca is helping businesses from $2M to $100M scale more efficiently while cutting costs and minimizing lost leads. Rafi shares the strategy behind successful AI implementation, stressing the importance of starting small, refining workflows, and scaling with confidence.Plus, we explore other high-impact AI tools for home service businesses, like in-field technician coaching and automated dispatching—offering a glimpse into the future of operational excellence in the trades.

This Day in Legal History: Butler Act Passes in TennesseeOn March 13, 1925, the Tennessee General Assembly passed the Butler Act, a law prohibiting public school teachers from denying the biblical account of creation and from teaching evolution. The law reflected growing tensions between religious fundamentalism and modern science in early 20th-century America. Although the statute faced little opposition in the legislature, it soon became the center of national controversy. The American Civil Liberties Union (ACLU) sought to challenge the law and found a willing participant in John T. Scopes, a high school teacher in Dayton, Tennessee. Scopes was arrested for teaching evolution and put on trial in July 1925 in what became known as the Scopes Monkey Trial. The trial drew national attention, featuring a courtroom showdown between famed defense attorney Clarence Darrow and three-time presidential candidate William Jennings Bryan, who argued for the prosecution. Though Scopes was found guilty and fined $100, the case exposed deep cultural divisions in the United States. The verdict was later overturned on a technicality, but the Butler Act remained in effect until 1967. The case paved the way for future legal battles over academic freedom and the separation of church and state in public education.French publishers and authors have filed a lawsuit against Meta, accusing the tech giant of using copyrighted content without permission to train its AI models. The National Publishing Union (SNE), the National Union of Authors and Composers (SNAC), and the Society of Men of Letters (SGDL) allege that Meta engaged in large-scale copyright infringement and economic "parasitism."This marks the first such lawsuit in France against an AI company, though similar cases have emerged in the U.S., where Meta faces lawsuits from authors, including Sarah Silverman and Christopher Farnsworth. Other AI firms, such as OpenAI, are also facing legal challenges in multiple countries over data used to train their models.The French associations argue that Meta's actions amount to “monumental looting” and see the case as a critical battle for copyright protection in the AI era. Meta has not yet responded to the allegations.French publishers and authors file lawsuit against Meta in AI case | ReutersThe Trump administration has revoked $20 billion in funding for greenhouse gas reduction projects, a move criticized by climate advocates and Democrats as an illegal seizure of funds intended for clean energy and disadvantaged communities. EPA Administrator Lee Zeldin defended the decision, citing concerns over fraud, waste, and mismanagement, though no specific details were provided. The U.S. Justice Department and FBI are now reviewing the program.The funds were originally allocated through the 2022 Inflation Reduction Act under President Biden to support pollution-reduction projects. Under Trump, the EPA has sought to halt climate-related funding, aligning with broader efforts to scale back environmental initiatives. The agency has not clarified how it plans to reallocate the funds.In response, the advocacy group Climate United Fund has sued the EPA and Citibank, arguing that withholding the funds violates a legally binding agreement. The lawsuit represents one of the first major legal battles over the Biden-era climate policies under the new administration.Trump administration claws back $20 billion in climate funds | ReutersThe U.S. Department of Education has announced plans to lay off nearly half its staff, potentially setting the stage for its complete elimination as part of President Trump's broader effort to downsize the federal government. Secretary of Education Linda McMahon confirmed the move aligns with Trump's mandate to dismantle the department, which manages student loans and enforces civil rights laws in schools.The layoffs are part of a wider restructuring effort led by Elon Musk's Department of Government Efficiency (DGE), which has already cut over 100,000 federal jobs and halted numerous programs. While the administration argues these cuts reduce government waste, critics—including unions representing affected workers—condemn them as reckless and legally questionable.Many agencies, including the Office of Personnel Management and the Social Security Administration, have offered early retirement buyouts to meet Trump's cost-cutting demands. However, lawsuits challenging these mass layoffs are mounting, with concerns over legality and disruption to essential government functions.US Education Department to cut half its staff as Trump eyes its elimination | Reuters This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.minimumcomp.com/subscribe

Hey everyone, Alex here

AI NEWS: OpenAI's Sam Altman drops Sora, o1 Pro & ChatGPT on our iPhone. What's next? Plus, Google's HUGE Gemini update and Genmojis are here from Apple. It is the biggest AI news week we've seen in a VERY long time (for real) as OpenAI continues it's 12 Days of Shipmas with no signs of stopping, plus we have some very cool AI videos and Gavin talks about his hands-on experience with OpenAI's Sora. IT'S A BIG ONE Y'ALL Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/ // SHOW LINKS // ChatGPT in iPhone is here https://www.cnbc.com/2024/12/11/apple-launches-its-chatgpt-integration-with-siri.html ChatGPT now one button away  https://x.com/sama/status/1866911984391950752 Sweater competition:  https://x.com/WesRothMoney/status/1866910531535372626 Other AI tools rolling out in iOS 18 https://www.theverge.com/2024/12/11/24317119/ios-18-2-apple-intelligence-chatgpt-genmoji Sora https://sora.com/library Sora Re-Mix For Other Videos https://x.com/maxescu/status/1866910989738017222 FULL o1 Model Release + o1 Pro https://openai.com/index/introducing-chatgpt-pro/ GEMINI 2.0 LAUNCH  https://x.com/GoogleDeepMind/status/1866869343570608557 https://x.com/Google/status/1866869309277937937 Gemini Seeing What You Do On Screen  https://x.com/itsPaulAi/status/1866911593214464206 Gemini Pro Deep Research (another tool) https://x.com/RyanMorrisonJer/status/1866871908630925715 Bringing Toys To Life With Minimax https://x.com/JeffSynthesized/status/1865427314277818603 TL;Draw Computer https://x.com/tldraw/status/1866871211210445125 What Actually Happened: Extending Movie Scenes https://www.reddit.com/r/aivideo/comments/1h4jdlx/what_actually_happened_using_ai_to_extend_movie/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button  

85 : The Flow: Episode 85 - AI Tools for Podcast Promotion Ecamm Network Listen to The Flow Podcasting, especially video podcasting, can be a great way to share your message with the world. There are so many things to learn and do, but it's hard to know where to start if you've never done it before. Producing a podcast can initially seem daunting; it's easy to feel overwhelmed when starting something new. Using a Video First approach with Ecamm Live will make it much easier and save you lots of time.The Flow is here to help. We'll take you step-by-step through creating a video podcast, from planning and production to promotion and monetization. You'll learn how to build an efficient workflow that will make your content shine, leaving you to focus on creating great content.This week on The Flow, Doc and Katie walk you through their podcast promotion plan and show you how we're leveraging AI tools like Capsho to simplify our podcast workflow, reach our community, and grow our podcast. You can learn more about Capsho at https://www.capsho.com Chapters

Send us a Text Message.We've got an extra lengthy episode for you this week! Josh Ferrara joins us as a guest this week to discuss news from Apple's WWDC Keynote. Josh R, JD, and Cole had a job together and also went to Cine Gear in LA!Pre-show: Audio Hijack

- Who will join the Exascale club next? - Nvidia "paints it green" - Other AI chips impress - Student Cluster Competition winners [audio mp3="https://orionx.net/wp-content/uploads/2024/05/HPCNB_20240520.mp3"][/audio] The post HPC News Bytes – 20240520 appeared first on OrionX.net.

Jenny, Solange and Phedra are joined by Luisa Casella as we talk about AI: how can conservators use these tools and what are their pros and cons? Luisa tells us about CRAIG, a large language model for conservators, while Jenny frets about the climate impact. Also tune in for a review of a recent lecture on AI usage from Solange and Phedra! 01:35 What do we mean by AI? 04:11 Building a LLM for conservators 13:33 Climate impact and ethical concerns 20:28 Sophisticated users needed 24:13 Future impact on conservation 35:25 Best AI uses we've seen 37:46 How is CRAIG different from ChatGPT? 39:42 Teaser: Interview with Robert Erdmann 40:18 Review of Dr Nicholas Eastaugh's recent AI lecture 47:34 Patreon appeal Show Notes: - S01E09 Museum Pi: https://thecword.show/2017/06/21/s01e09-museum-pi/ - S06E03 The One with the Arduino: https://thecword.show/2019/10/16/s06e03-the-one-with-the-arduino/ - Follow Luisa and her conservation tips here: https://linktr.ee/conservation_tips - CRAIG: https://chatgpt.com/g/g-P8SfTCDEO-craig-conservation-restoration-ai-generative-tool - ChatGPT by OpenAI: https://chatgpt.com/ - BBC article on Sarah Silverman that Jenny mentioned: https://www.bbc.co.uk/news/technology-66164228 - AIC conservation wiki: https://www.conservation-wiki.com/wiki/Main_Page - AI and the Climate Crisis (lecture recording): https://goldsmiths.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=609824f6-5e69-4241-9bd4-b13a00d3d05b - AI's Growing Carbon Footprint: https://news.climate.columbia.edu/2023/06/09/ais-growing-carbon-footprint/ - More on energy usage of AI: https://www.washington.edu/news/2023/07/27/how-much-energy-does-chatgpt-use/ - BBC article on AI reading ancient burnt scrolls: https://www.bbc.co.uk/news/science-environment-68221243 - Follow us on YouTube: https://www.youtube.com/channel/UCwHBfYsHR0UBAiA_VhMeOIw - Paintings Group lecture mentioned: https://www.icon.org.uk/events/paintings-group-art-authorship-and-ai-for-good-or-ill.html Other AI resources: - Luisa's Substack article on AI: https://conservationtips.substack.com/p/ai-in-art-conservation - Heritage Fund briefing on AI: https://www.heritagefund.org.uk/about/insight/research/artificial-intelligence-digital-heritage-leadership-briefing - Museums Association on AI: https://www.museumsassociation.org/category/ai/ Support us on Patreon! http://www.patreon.com/thecword Hosted by Solange Masher, Jenny Mathiasson, Phedra Komodromou and Luisa Casella. Intro and outro music by DDmyzik, used under a Creative Commons Attribution license. Made available under a Creative Commons Attribution-NonCommercial 4.0 International license. A Wooden Dice production, 2024.

This presentation was recorded at MindFest, held at Florida Atlantic University, CENTER FOR THE FUTURE MIND, spearheaded by Susan Schneider. Center for the Future Mind (Mindfest @ FAU): https://www.fau.edu/future-mind/ Links Mentioned: - Center for the Future Mind (Mindfest @ FAU): https://www.fau.edu/future-mind/ - Other Ai and Consciousness (Mindfest) TOE Podcasts: https://www.youtube.com/playlist?list=PLZ7ikzmc6zlOPw7Hqkc6-MXEMBy0fnZcb - Mathematics of String Theory (Video): https://youtu.be/X4PdPnQuwjY - David Chalmers: https://www.youtube.com/watch?v=5r9V1ryksnw - Scott Aaronson: https://www.youtube.com/watch?v=h16qJLGOXvw - National Intelligence University: https://www.ni-u.edu - Scott's Paper: https://www.scottaaronson.com/democritus/lec18.html - George's Book (Putting Ourselves Back in the Equation): https://amzn.to/3QuRDfZ Please consider signing up for TOEmail at https://www.curtjaimungal.org  Support TOE: - Patreon: https://patreon.com/curtjaimungal (early access to ad-free audio episodes!) - Crypto: https://tinyurl.com/cryptoTOE - PayPal: https://tinyurl.com/paypalTOE - TOE Merch: https://tinyurl.com/TOEmerch  Follow TOE: - *NEW* Get my 'Top 10 TOEs' PDF + Weekly Personal Updates: https://www.curtjaimungal.org - Instagram: https://www.instagram.com/theoriesofeverythingpod - TikTok: https://www.tiktok.com/@theoriesofeverything_ - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs - iTunes: https://podcasts.apple.com/ca/podcast/better-left-unsaid-with-curt-jaimungal/id1521758802 - Pandora: https://pdora.co/33b9lfP - Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e - Subreddit r/TheoriesOfEverything: https://reddit.com/r/theoriesofeverything  

Scott Aaronson gives a presentation at MindFest 2024, where he critiques the simulation hypothesis by questioning its scientific relevance and examining the computational feasibility of simulating complex physical theories. This presentation was recorded at MindFest, held at Florida Atlantic University, CENTER FOR THE FUTURE MIND, spearheaded by Susan Schneider. Please consider signing up for TOEmail at https://www.curtjaimungal.org LINKS MENTIONED: - Center for the Future Mind (Mindfest @ FAU): https://www.fau.edu/future-mind/ - Other Ai and Consciousness (Mindfest) TOE Podcasts: https://www.youtube.com/playlist?list=PLZ7ikzmc6zlOPw7Hqkc6-MXEMBy0fnZcb - Mathematics of String Theory (Video): https://youtu.be/X4PdPnQuwjY  Support TOE: - Patreon: https://patreon.com/curtjaimungal (early access to ad-free audio episodes!) - Crypto: https://tinyurl.com/cryptoTOE - PayPal: https://tinyurl.com/paypalTOE - TOE Merch: https://tinyurl.com/TOEmerch  Follow TOE: - *NEW* Get my 'Top 10 TOEs' PDF + Weekly Personal Updates: https://www.curtjaimungal.org - Instagram: https://www.instagram.com/theoriesofeverythingpod - TikTok: https://www.tiktok.com/@theoriesofeverything_ - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs - iTunes: https://podcasts.apple.com/ca/podcast/better-left-unsaid-with-curt-jaimungal/id1521758802 - Pandora: https://pdora.co/33b9lfP - Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e - Subreddit r/TheoriesOfEverything: https://reddit.com/r/theoriesofeverything   

A packed review this month, with some sad :( better :| and happy news :)1:42 Demise of Rooster Teeth and yet RVB will outlive the corporate brand!  We reminisce about the early days of machinima and the influence Rooster Teeth had on the emerging creator community26:30 Drax Files: World Makers comes to a close33:37 Awards! Sam Crane's continuing success with GTA5 Hamlet at SXSW and UE5's use in War is Over, the Oscar winning animated short39:00 AI updates: YouTube's T&Cs – we discuss the notion of ‘realistic' in the context of the guidelines – does the sound of a Wookie farting sound real to you… Phil really gets on a roll with this topic! Other AI updates include ConvAI, Hume, Runway and Stability AI's 3D generator1:09:00 Godzilla Minus One model release, celebrating the creator's Oscar achievement – and a side discussion about rigging a cat in iClone1:16:32 Blockbuster Inc release date announced!1:19:00 Dune: Denis Villeneuve discusses the use of UE5 in the making of the film – not the typical machinima approach!Credits -Speakers: Phil Rice, Tracy Harwood, Damien ValentineProducer/Editor: Phil RiceMusic: Animo Domini Beats

Stuart Hameroff explores the intersection between consciousness and quantum mechanics, arguing that consciousness exists on the border of classical and quantum worlds with microtubules within neurons acting as the quantum processing sites that could link to fundamental space-time geometry. This suggests a profound quantum basis for consciousness.This presentation was recorded at MindFest, held at Florida Atlantic University, CENTER FOR THE FUTURE MIND, spearheaded by Susan Schneider. Please consider signing up for TOEmail at https://www.curtjaimungal.org LINKS MENTIONED: - Center for the Future Mind (Mindfest @ FAU): https://www.fau.edu/future-mind - Other Ai and Consciousness (Mindfest) TOE Podcasts: https://www.youtube.com/playlist?list=PLZ7ikzmc6zlOPw7Hqkc6-MXEMBy0fnZcb - Mathematics of String Theory (Video): https://youtu.be/X4PdPnQuwjY - Podcast w/ Stuart Hameroff (on TOE): https://youtu.be/uLo0Zwe579g

What do recruiters really think when they see your resume? What is the difference between a resume passed on and a resume passed on to an interview?  Today career strategist and podcast host Kelsey Waldrop sat down with Talent Acquisition Manager and Interview Coach Margaret Buj to talk about the goldmines and the landmines for people who are in the job search process. It's an insider's point of view on the things that successful job applicants do differently with practical advice and actions job seekers can take to accelerate and elevate the journey to their next job.  Key Topics Include: Job Search Strategy including networking and relationship building. How to focus your job search and identify target companies Resume best practices including where and how much to tailor your resume for each role. ChatGPT and Other AI tools for resume writing, company research, interview preparation, networking  Getting creative in using LinkedIn, including a peak into what recruiters see and search for when identifying candidates for roles.  How and why a career coach can help you navigate the process faster and with better outcomes.   Additional Resources: ChatGPT Playbook:  https://docs.google.com/document/d/1VI3rUfz8kQyPVXXlwic1qhAr4jXgfEBvdlggZWSnQd8/edit https://growthschool.notion.site/Tools-Click-Here-80d93fa2dbc04734aee73670d1951885 https://growthschool.notion.site/ChatGPT-101-Resources-250-Prompts-50-AI-tools-08482594850844a5a59bb1ae0a2935c2 https://growthschool.notion.site/250-Prompts-Click-Here-326c1aa106f44d6f9a257a85a79869b5 Contact Margaret Buj: Margaret Buj | LinkedIn Websites Interview-Coach.co.uk (Personal) landthatjob.co.uk (Other) interview-coach.co.uk/interview-coach-online-course/ (Other) Contact Kelsey Waldrop: www.KelseyWaldrop.com www.linkedin.com/in/kelseywaldrop    

Are you using AI in your business? Can it save you time, make you more efficient, and deliver a better experience to your customers? Depending on what you do and how you use AI, yes. So let's talk about how we are leveraging the power of AI right now in our business.The ways we use AI might surprise you, and it's probably not what you think. Want to get stuck into it? Let's go! SOME EPISODE HIGHLIGHTS: (0:13) Grab our amazing resource Click Tricks totally for FREE!(4:08) Why and how we use AI in our business.(11:38) Using the integration between Zoom & Vimeo to upload live training calls.(16:41) Getting user-friendly summaries of our live Q&A calls (ditched!).(25:00) Relating to stories to lessons to use inside your emails.(27:20) Summarising customer interviews.(29:00) Helping us overcome people's objections.(30:54) Writing engaging social media posts.(35:09) Creating a lead magnet.(38:08) Making your writing more 'punchy'.(40:10) Helping with formulas and code.(41:38) Other AI tools we recommend.(46:65) Subject lines of the week.[podcast_subscribe id="7224"]Why and how we use AI in our business AI is developing at super rapid speed, and we're testing and implementing (or ditching) different ways of using it to the advantage of our business and our customers. We're going to share a bunch of things we've tried - some of which have been successful and others not so much.We don't sell any offers that are led with AI because we don't find anything created with AI is good enough. And we don't even use AI to write our emails or our subject lines, so we're not going to tell you to do that.Why? Because we tried to teach AI tools such as ChatGPT or Claude.ai our methodology. But so far, we've not been able to make that work successfully. We don't believe that AI can do a better job than a human at writing your emails. Sure, there's something to be said for learning to write great prompts. And believe it or not, professional prompt writers are now a thing! But we're not that. Whatever you use AI for, it has to be good! Instead, we're going to give you ideas of how AI can save you time or make things easier for you. We're going to share how it can help by giving you new and diverse opinions and insights. The key though, we believe, is that whatever you use AI for, it has to be good!Can AI write subject lines for your emails? Can it write your emails? Absolutely. Are they going to be good enough? Probably not.If a subject line or an email (no matter who writes it) doesn't get the person at the receiving end to take action (whatever the action might be), then it's not good enough. If you're currently not doing email marketing and think you're going to use AI to do it for you because sending anything out is better than nothing, we don't think that's the case at all! Using the integration between Zoom & Vimeo to upload live training callsOne of the ways we use AI in our business is to upload the recording of our live training calls into our Members' Area to make them available to our students. Inside our programme, the Email Hero Academy, we run at least 3 live...

Just before Christmas Day, the EU Council, Parliament and Commission agreed the wording of the world's first comprehensive set of rules and guidelines to deal with Artificial Intelligence the AI Act. It set out for example that facial recognition would be banned in public places. Other AI applications in health education and recruitment were obliged to have transparency clauses so that regulators could take a peek inside the code being used. Brando Benifei is an Italian MEP and represented the EU parliament in those talks with member states for the AI Act

"AI enhances my creativity and helps me explore new ideas. From AI-generated music and artwork to machine learning algorithms that assist in brainstorming and content creation, it has become an invaluable tool in my creative process."Today, Grant sat down with Lauren Teague to chat about her speaking business and how she uses AI as a work partner to maximize her time, increase her creative output, and scale the amount of work she's putting in to create great pieces of content. "It's like the most valuable intern that you could hire in that most capable, but you have to be extremely specific and good at delegation in order to get the most out of it."In today's episode, Grant and Lauren dig into: Lauren's background in speaking Why content matters when you're building a brand How to leverage AI to help you create more content What Lauren uses AI for in her everyday life How AI can help you scale the amount of content you ship What AI tools are currently on the market, and what they do The difference between queries and prompting What makes a strong prompt And more! "AI is both new and old. It's new in the sense that we're seeing advancements and applications that we couldn't have imagined even a few years ago. But it's also old because the concept of machines being able to mimic human intelligence has been around for decades. It's fascinating to see how far we've come, but also humbling to realize that we're still just scratching the surface of what AI can do."If you've been thinking about implementing AI into your business and your everyday life, this could be a great episode to help you unlock the potential and explore tactical use cases. "Technology doesn't take away the human element, it enhances it. And I think that's what I've experienced personally with using tools like PICTORY and Castmagic. It's not about replacing me as a speaker, it's about amplifying my message and reaching a wider audience."Episode Chapters:[00:01:41] Lauren's speaking background.[00:04:48] AI is ubiquitous and revolutionizing technology.[00:09:27] AI predictions for the future.[00:13:28] What is AI, and how does it create content?[00:16:34] What different types of AI models are out there?[00:21:02] What is prompting, and what makes a good prompt? [00:26:37] Popular AI tools for video editing, writing, and imagery.[00:31:25] What is the future of AI and content in regard to how we consume it? [00:33:53] Other AI that are useful and exciting.Episode Resources: Lauren's WebsiteConnect with Lauren on LinkedInLauren's Podcast - Brand to FanLauren's Brand - FanWagn Get Free Speaker ResourcesBook a Call with The Speaker LabCalculate Your Speaking FeeJoin The Speaker Lab Community on FacebookSubscribe on Apple PodcastsSubscribe on SpotifySee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of the How to Succeed in Product Management Podcast, marketing professor Jeff Shulman and The Product Management Center advisory board members Red Russak welcome Priyank Shah (Black Knight) and Marily Nika, Ph.D (Meta) to talk about AI product strategy. AI product strategy is crucial for PMs because it enables them to leverage artificial intelligence effectively to meet user needs and business objectives. By defining a clear AI product strategy, PMs can identify opportunities for AI integration, prioritize AI features, and allocate resources wisely. This strategy also helps in staying competitive, as AI can enhance product capabilities and user experiences, making it essential for PMs to align AI initiatives with their overall product roadmap. Disclaimer: All opinions of the speakers are their own.   What to Listen For: 00:00 Intro 07:10 What is product strategy? 08:50 What is AI? 11:43 Other AI products 13:47 Why should everyone have an AI product strategy 17:32 AI product strategy vs. every other product strategy 21:24 Success metrics for AI product strategy 27:04 Launching a bad AI product 31:33 Changes in the legal environment 36:49 How to increase experience to be an AI product manager 42:58 Recommended groups for aspiring PMs 44:52 Ethical issues in AI 47:20 Finding companies that are actively using AI 50:53 Differences between the software development life cycle and AI development life cycle 52:47 Final thoughts

For a vast number of book writers, artificial intelligence is a threat to their livelihood and the very idea of creativity. More than 10,000 of them endorsed an open letter from the Authors Guild this summer, urging AI companies not to use copyrighted work without permission or compensation. At the same time, AI is a story to tell, and no longer just in science fiction. As present in the imagination as politics, the pandemic, or climate change, AI has become part of the narrative for a growing number of novelists and short story writers who only need to follow the news to imagine a world upended. “I'm frightened by artificial intelligence, but also fascinated by it. There's a hope for divine understanding, for the accumulation of all knowledge, but at the same time there's an inherent terror in being replaced by non-human intelligence,” said Helen Phillips, whose upcoming novel “Hum” tells of a wife and mother who loses her job to AI. “We've been seeing more and more about AI in book proposals,” said Ryan Doherty, vice president, and editorial director at Celadon Books. “It's the zeitgeist right now. And whatever is in the cultural zeitgeist seeps into fiction.” Other AI-themed novels expected in the next two years include Bryan Van Dyke's “In Our Likeness,” about a bureaucrat and a fact-checking program with the power to change facts; and  Sean Michaels' “Do You Remember Being Born?", in which a poet agrees to collaborate with an AI poetry company. Some authors aren't just writing about AI, but openly working with it. Sean Michaels centers his new novel “Do You Remember Being Born?” on a poet named Marian, in homage to poet Marianne Moore, and an AI program called Charlotte. He said the novel is about parenthood, labor, community, and also “this technology's implications for art, language, and our sense of identity.” Believing the spirit of the novel called for the presence of actual AI text, he devised a program that would generate prose and poetry and used an alternate format in the novel so readers know when he was using AI. This article was provided by The Associated Press.

In this episode, Frank Mendoza joins me to talk about the next big thing in AI marketing. While this is a newer technology to the masses, it has in fact been around for a long time. We speak about current trends, how to leverage AI to help you, as well as pitfalls to avoid to ensure you're remaining ethical.Frank Mendoza is a highly respected and award-winning analytics leader with over 20 years of experience in Strategy, Customer Experience and Data Science. He is the founder of Catalytics, a service company that helps Fortune 500 companies like Nike, Kelloggs, Keurig Dr Pepper, and Jim Beam to execute actionable AI and Data Analytics strategies to solve their toughest business challenges. Frank holds a B.S. in Mechanical Engineering and an Executive MBA from The University of Texas at Austin.Frank gives listeners actionable tips on: [1:10] When AI exploded into everyone's knowledge [3:50] Other AI technology other than ChatGPT [6:20] Differences between ChatGPT and Google Bard [9:50] Caution against copying and pasting straight from AI without editing [13:30] Predictions for how AI will continue to evolve [18:20] Are content consumers attracted to AI copywriting, and the impact to writing style [29:35] Frank's book review [35:05] One big takeaway from this episode Resources mentioned in this episode:The Art of Thinking Like a Data Scientist by William SchmerzoConnect with Frank here: https://www.instagram.com/fx.mendoza https://twitter.com/DataDrivenMind https://www.facebook.com/fxmendoza https://www.linkedin.com/in/fxmendoza/ www.CatalyticsConsulting.com Connect with me Instagram Pinterest Facebook Twitter Karin on Twitter Karin on LinkedIn Conroy Creative Counsel on Facebook https://conroycreativecounsel.com 

In this episode, Frank Mendoza joins me to talk about the next big thing in AI marketing.  While this is a newer technology to the masses, it has in fact been around for a long time. We speak about current trends, how to leverage AI to help you, as well as pitfalls to avoid to ensure you're remaining ethical. Frank Mendoza is a highly respected and award-winning analytics leader with over 20 years of experience in Strategy, Customer Experience and Data Science. He is the founder of Catalytics, a service company that helps Fortune 500 companies like Nike, Kelloggs, Keurig Dr Pepper, and Jim Beam to execute actionable AI and Data Analytics strategies to solve their toughest business challenges. Frank holds a B.S. in Mechanical Engineering and an Executive MBA from The University of Texas at Austin. Frank gives listeners actionable tips on: [1:10] When AI exploded into everyone's knowledge [3:50] Other AI technology other than ChatGPT [6:20] Differences between ChatGPT and Google Bard [9:50] Caution against copying and pasting straight from AI without editing [13:30] Predictions for how AI will continue to evolve [18:20] Are content consumers attracted to AI copywriting, and the impact to writing style [29:35] Frank's book review [35:05] One big takeaway from this episode Resources mentioned in this episode: The Art of Thinking Like a Data Scientist by William Schmerzo Connect with Frank here: https://www.instagram.com/fx.mendoza https://twitter.com/DataDrivenMind https://www.facebook.com/fxmendoza https://www.linkedin.com/in/fxmendoza/ www.CatalyticsConsulting.com Connect with me Instagram Pinterest Facebook Twitter Karin on Twitter Karin on LinkedIn Conroy Creative Counsel on Facebook https://conroycreativecounsel.com 

In this episode, Frank Mendoza joins me to talk about the next big thing in AI marketing.  While this is a newer technology to the masses, it has in fact been around for a long time. We speak about current trends, how to leverage AI to help you, as well as pitfalls to avoid to ensure you're remaining ethical. Frank Mendoza is a highly respected and award-winning analytics leader with over 20 years of experience in Strategy, Customer Experience and Data Science. He is the founder of Catalytics, a service company that helps Fortune 500 companies like Nike, Kelloggs, Keurig Dr Pepper, and Jim Beam to execute actionable AI and Data Analytics strategies to solve their toughest business challenges. Frank holds a B.S. in Mechanical Engineering and an Executive MBA from The University of Texas at Austin. Frank gives listeners actionable tips on: [1:10] When AI exploded into everyone's knowledge [3:50] Other AI technology other than ChatGPT [6:20] Differences between ChatGPT and Google Bard [9:50] Caution against copying and pasting straight from AI without editing [13:30] Predictions for how AI will continue to evolve [18:20] Are content consumers attracted to AI copywriting, and the impact to writing style [29:35] Frank's book review [35:05] One big takeaway from this episode Resources mentioned in this episode: The Art of Thinking Like a Data Scientist by William Schmerzo Connect with Frank here: https://www.instagram.com/fx.mendoza https://twitter.com/DataDrivenMind https://www.facebook.com/fxmendoza https://www.linkedin.com/in/fxmendoza/ www.CatalyticsConsulting.com Connect with me Instagram Pinterest Facebook Twitter Karin on Twitter Karin on LinkedIn Conroy Creative Counsel on Facebook https://conroycreativecounsel.com 

Today's episode is coming to you from our NYC Live Event, and will not be our usual type of episode! It'll be more like a “town hall meeting” so grab onto your seats as we talk about generative AI and its role in the world of talent and acquisition. Our first amazing guest is Jenny Cotie Kangas, a friend of the show and force to be reckoned with. Our second guest is the innovative Chief Technology Officer at Hired, Dave Walters. In our discussion we cover how Jenny is conceptualizing AI and leveraging it best, why you don't have to be afraid of generative AI, and she talks us through some examples of how to use ChatGPT. Dave recaps his opinion on the first half of the session with Jenny, and shares his thoughts on setting generative AI policies at work and why it'll be important. We also dive into Local Law 144, as well as some other questions asked by our audience members. This is a great episode on all things generative AI, so don't miss out!   Key Points From This Episode:   Rob introduced today's live event and the mission behind it. He introduces our first guest; Jenny Cotie Kangas. Jenny shares her background and how she wound up where she is today. How she's conceptualizing AI in her role and making sure to leverage it best. Don't be afraid of generative AI: calling up the ‘hat' you want the AI tool to wear. An introduction to ChatGPT and what generative AI is. Jenny takes us through live examples of using ChatGPT; including prompts and more. Things to remember when using ChatGPT or generative AI.  How Jenny uses generative AI in her day-to-day. Checking for bias and why that's necessary. Bringing in a situation and asking for options. We answer “What are sharp questions?” (a live example).  Jenny talks about prompts and how to create them.  Can you give too many inputs to ChatGPT as a prompt? Rob introduces our next guest: Chief Technology Officer, Dave Walters. His reactions and thoughts on Jenny's segment of the session. The difference between ChatGPT and Google.  Dave's thoughts on his team using ChatGPT for 80% of their work: setting policies. Moving past the hype of AI into the real world of AI: democratizing AI.  Other AI tools that use generative AI (other than ChatGPT). We discuss Local Law 144: what it is and when to be concerned about it.  Who is verifying or validating data presented to us through generative AI?  Legal pushback they've received since using these AI tools.  The best career advice our guests have ever received.    Tweetables:   “I leverage AI to enable me, the human, to be able to go further and faster at work.” — @CotieJenny [0:06:33]   “One of the things to remember is, [with] any sort of generative AI, you have to ask the right sharp question to get the answer.” — @CotieJenny [0:15:13]   “Don't upload all your business secrets into ChatGPT, that's probably not a smart thing to do, and I would avoid doing that!” — Dave Walters [0:25:48]   “I would recommend to everybody — make sure you are getting policies in place — so that your teams know what to do and what not to do [with generative AI]. Don't let that policy we don't use it, that is a bad approach and you will fall behind.” — Dave Walters [0:26:13]   “These laws, at a very very high level, are meant to ensure that we're using technology for good.” — @CotieJenny [0:37:22]   “[Generative AI] is not smart enough to figure out what is factual and what is not factual, today. It's a big problem — one of the biggest challenges with generative AI, it's going to have to be solved, [and] it's not easy to solve.” — Dave Walters [0:39:37]   “Any time something is new it's a lot easier to attack it than to try and understand how we can put effective guardrails in place so that we can use this for good.” — @CotieJenny [0:42:47]   Links Mentioned in Today's Episode:   Jenny Kangas on LinkedIn Dave Walter on LinkedIn Hired ChatGPT Open AI Local Law 144 (Holistic AI) Talk Talent to Me Hired  

In this era of rapid digital transformation, we are witnessing the remarkable power of Artificial Intelligence (AI) in unlocking the potential of recruiters. By seamlessly integrating AI into the recruitment process, we empower recruiters with valuable tools and insights to make informed decisions and find the perfect fit for organizations and candidates alike. With AI, recruiters enhance candidate experiences and, ultimately, build stronger, more diverse, and inclusive teams.In this episode, we are joined by Vanessa Raath, who is a global talent-sourcing trainer, an international keynote speaker, and a budding wildlife photographer, to share more about the exciting world of AI and its impact on the recruiting industry. Discussing the role of AI in recruitment to exploring the differences between PeopleGPT and ChatGPT, Vanessa shares her invaluable insights. Discover how to harness GPT tools, build your personal brand, and engineer compelling prompts for better outcomes. With a focus on integrating ChatGPT into the internet and optimizing outreach, Vanessa guides recruiters toward greater success. Timestamps[02:33] How AI fits into the recruiting industry[04:43] Vanessa's opinions on how we should use AI[08:59] How Vanessa became an AI expert[09:53] The difference between PeopleGPT and ChatGPT[11:08] GPT tools[12:54] Building yourself as a recruiter in this massive and improved AI content[14:46] Vanessa's first course: Helping People Build Their Brand[15:36] Tips on prompt engineering[19:21] The biggest advantages of ChatGPT to recruiters[22:43] How to integrate ChatGPT into the internet[24:16] How recruiters can get a better response from outreaching[26:15] How to use ChatGPT to write a personal outreach from a profile[28:20] The dangers of ChatGPT[29:19] Other AI tools and how they are helpful[30:55] About Vanessa's course: The Intricate Science of Getting Passive Talent To Respond to You[32:30] How Vanessa helps recruitersNotable Quotes:●      “ChatGPT is there, it's not going to disappear, we may as well use it to help us be better recruiters.”●      “The most important thing to remember about AI is that it can't do the relationship development piece.”●      “No one in the world is truly an AI expert.”●      “The recruiters who have taken their time to get to know people, are going to be the ones who will win.”●      “The more information you give it, almost like you are writing it yourself, it will come back to you and make it sound better”●      “Don't be just the piece of text that ChatGPT could generate, be a human being.”●      “If you do things a little bit differently, it generally will get people's attention.” Connect with Vanessa Raath:Website: vanessaraath.comLinkedIn: linkedin.com/in/vanessaraathTwitter: Van_RaathConnect with me:Website: https://recruitingtrailblazers.com/LinkedIn: https://www.linkedin.com/in/marcusedwardes/Connect with Great Recruiters and get 2 months free:Link:            Great Recruiters

What's up everyone,If you haven't checked out our previous 3 episodes in our AI series you might want to before this episode, we give you a lot of context around some of the events that have happened and will shape the conversation today.So basically How fast could AI change or replace marketing jobs? How marketers can stay informed and become AI fluent Exploring new paths to future-proof your marketing career in the age of AI Today we're diving into specific tools… there's a lot of noise out there right now.What tools you should play around withIn TMW #107 | ChatGPT and the artificial marketer, Juan Mendoza explains that“...generative AI tools are already everywhere. From text generation to video and audio production, to image creation, there's a thriving industry of technologies taking small slices out of our creative talents, packaging them up, and selling them as a SaaS product on a recurring revenue model. If you're wanting to stay relevant five years from now in the marketing technology industry, you're probably going to have to learn some of these platforms. In 2010 we used to say: “there's an app for that”. In 2023, we will be saying: “there's an AI for that.””OutlineHere are some of the topics for this third AI episode: Key AI technology definitions and how to differentiate real AI tools vs all the noise out there Deep dive into tools Content marketing tools Email and marketing automation tools Predictive analytics tools Text to presentation and pitch deck tools 3D animation tools for product marketers Sales and outreach tools Text to website creator tools Ad and social creative tools AutoGPT and AI agents And a bunch of other tools like conversational search engines, 1-1 convos with celebrities and an even longer list of honorable mentions  Here's today's main takeaway:The key to future proofing your marketing career with the ever changing AI landscape is to stay curious, get your hands dirty and experiment fearlessly: Fill out some forms, spin up free trials, get on wait lists, and give new AI tools a chance. It's only by actually getting your hands dirty that you'll discover which tools truly work for you and which are just part of the ever growing sea of gimmicky AI tools.Definition of tech termsI'll be using some of these terms throughout my analysis of some of these tools so here's a primer explaining the three most common AI technologies used for marketing applications: MLMachine Learning): ML is a way to teach computers to learn by themselves, without having to be programmed for every task. They learn from examples and data patterns to make predictions or decisions. Applications include segmentation, predictive analytics and propensity models. NLPNatural Language Processing: NLP is a subset of ML and focuses on enabling computers to understand, interpret, and generate human language. Includes sentiment analysis, machine translation, named entity recognition, text summarization, and more. NLP techniques usually helps computers understand and communicate with humans using everyday language. GNNGraph Neural Network: GNN also a subset of ML is a type of neural network that aims to handle graph-structured data, data organized like a network or web of connected points. Applications include analyzing relationships between different things like users in a social network or users in your database or recommending additional products based on past purchase history. Real AI vs noisePart of the reason AI gets a really bad rep, especially in martech, is that anything that's built on if statements or simple Javascript logic gets called AI. There's still plenty of AI startups that shout about their proprietary AI when it's probably just a few decision trees and a few interns running spreadsheets.Now though, you have an even bigger bucket of noise that's essentially “slight tweak on Chat-GPT”. Developing AI that was comparable to human performance was a challenging feat prior to GPT's arrival. To achieve this level of sophistication, a company would have had to: make a substantial investment, amounting to millions of dollars developing its own algorithms performing extensive data cleanup But it's so easy now because GPT is so good out of the box. Allen Cheng puts it simply. Starting a new AI venture can be achieved by simply assembling a few elements:  a product developed on GPT-4's user-friendly API a website,  and a marketing campaign.  This is why we're seeing hundreds of AI tolls pop up every week.A lot of these GPT-based products are pretty much indistinguishable from one another. Maybe a handful  have a significant advantage over others but most are gimmicky. And over the next few months, every tool is going to be integrating ChatGPT features inside their products in the hopes of making it stickier.The threat of GPT-nThe part that I find trickiest and the most discouraging about building anything on top of GPT is that any progress you make on fine tuning GPT-4 will totally be wiped out by GPT-5 or GPT-n… Kind of like we talked about in a previous episode with all the tools GPT's plugins killed. So let's cut through the noise and dive into legit AI tools, the ones you should be playing with and experimenting. Content marketing toolsCopy.ai and Jasperhttps://copy.ai/ https://jasper.ai/ AI text generators are very common these days, the two most popular tools, especially for marketers are Copy.ai and Jasper. Both allow you to bypass the initial stage of writing where you face a blank page. The promise of these tools is that they help you in generating ideas, saving time on brainstorming and drafting, and ensuring a consistent production flow, freeing you to focus on higher-level strategic tasks, original research, and connecting with your audience.I've played around with both Jasper and Copy.ai before ChatGPT came out… and they were super unique. But both Copy.ai and Jasper are built on top of GPT, they essentially rent usage of the platform. So they built a pretty nice UI on top of GPT… but now that ChatGPT came out, I'm sure they've seen a drop in usage. Plus GPT-4 is 3 times more expensive.They still offer marketing specific value though and can get you up to speed faster than using CGPT in the form of templates, prompts and workflows. Both are super powerful, you could make a case that Jasper outshines its counterpart a bit, especially on the longer content format but it's also way more expensive. Miguel Rebelo from Zapier has a solid breakdown comparison here https://zapier.com/blog/jasper-vs-copy-ai/ GramarlyGOhttps://www.grammarly.com/grammarlygo Grammarly, the popular spelling and grammar checker which has been using AI for over a decade already, also entered the generative AI niche last month unveiling GrammarlyGO. You guessed it, built on GPT. It has a particular advantage because Grammarly is already widely used and this is just an extra feature so to speak. Instead of just checking your grammar it can now also help you with drafting documents, composing and responding to emails, editing writing for tone, clarity, and length, and brainstorming ideas or outlines for projects within the apps you're already working in. Lots of tools are going the Grammarly route in adding GPT features to their product, like Notion and more recently Superhuman.Other AI writing toolsSome of these specialize in SEO, some in long form content, some in short form… they all do similar things:Copysmith https://copysmith.ai/ Anyword https://anyword.com/ Writesonic https://writesonic.com/Copymatic https://copymatic.ai/ Yaara https://www.yaara.ai/ Rytr https://rytr.me/ Frase https://frase.io/ EmailEmail is just a channel of potential generative content tools so it's not totally distinguishable from the tools we chatted about in the content category. Chances are that the Marketing Automation platform or the customer engagement platform you're already using as a suite of features they are throwing AI next to. Most of these though are just ML.  Some tools like Iterable and Braze have propensity models to find users that are likely to perform a purchase event, that's ML, and it's only based on your data set.  Some tools like Seventh Sense throw AI in front of Send Time Optimization features, these have been around for a long time and are only based on your recipients. This is also ML.  Some tools throw AI in front of Sentiment Analysis features allowing you to analyze and classify the emotional tone of text into useful data. This is a subset of NLP that uses ML. Some tools like 6sense throw AI in front of conversational email assistants that are supposed to be a step up from static drip emails sequences. This is also a form of NLP and generative AI. You're likely to start seeing copy assistants and additional AI features powered on GPT inside of these tools. I wanted to chat about one product that I feel like stands out from others in terms of being built around AI rather than it simply being a feature on the side.Persadohttps://www.persado.com/ One example I've seen (but haven't used myself) of a CEP using more advanced AI is a tool called Persado. The two co-founders are former founders of Upstream in the mobile marketing space. Similar to 6sense's conversational email platform, they've been around for a decade and they claim to leverage NLP + ML to create, optimize, and personalize engagement messaging. So they essentially analyze a bunch of data and identify the most effective emotions, CTAs, language, phrases to drive engagement. It's worth calling it out because it's more than just predicting user behavior and optimizing the best time to send a message, it takes it a step further by also incorporating NLP techniques, understanding the nuances of human language, and generating custom marketing messages that resonate with a unique user. One thing that makes Persado unique is it's not built on GPT, it has its own model that's trained on more than 100 billion digital business language impressions across industries. Potentially less data points than GPT but arguably better and more relevant impressions. As Lisa Spira, VP of Content Intelligence at Persado explains in an interview with Martechseries, “models like OpenAI's ChatGPT are trained on the entire “Wild West” of the Internet, so their results, while delivered confidently by the model, can be riddled with inaccuracies, or even offensive content”. She adds that “Generative AI tools might be capable of writing anything, but we're able to cut through that noise, and train our generative AI to write in a way that motivates recipients to take actions: to open an email, convert on a shopping cart webpage, or stop scrolling and click on a social media ad.”And not just generative AI. Persado is pushing a term called Motivation AI and they have a really cool example of it. Let's say you're in D2C and you're selling sweaters. Generative AI gives you level 1 and 2 content which is Intelligibility and Relevance so it might spit out content like: Sweaters are a knitted garment that usually have long sleeves and are designed to be worn over other clothing In the fall, sweaters provide an extra layer of warmth in the cooler temperatures. They are stylish choice for fall fashion because they come in a variety of colors and styles But the next stage of this is including Emotion to get an output like this:You're going to love these cozy sweaters for fallAnd the following stage, where Persado claims to play is Motivation where you would get an output like this:A cozy invitation: indulge in our luxuriously soft sweaters this fallNow this might all be semantics. I'd argue that with great prompting you can get to generative content that includes motivation and emotion. Optimovehttps://www.optimove.com/ This tool could actually go in the CRM, the CDP or even the email category with the acquisitions they've made in the last few years but another name that I've heard a few times is Optimove. They play in the enterprise arena and primarily serve retailers and gaming operators but they have an interesting suite of AI tools for marketers. I've personally not used the tool but they claim to provide personalized recommendation campaign orchestration with their AI-based marketing bot (Optibot). It provides what they call self-optimizing campaigns that are essentially advanced A/B/n campaign testing that automatically serves the best treatment to individual customers through the use of ML. Source: https://www.optimove.com/pdf/Optimove-Product-Features.pdf Predictive AnalyticsPredictive analytics is a super cool niche of AI application. It essentially enables us to anticipate trends and patterns of consumer behavior based on a bunch of user data. Done right, you can do cool things like uncover users ready to buy amongst a sea of tire kickers, find free users primed for upsells and anticipate customers about to churn.Vidora Cortex (mParticle Intelligent Attributes)https://www.vidora.com/platform/ I wanted to start by calling out a few no-code / low-code predictive analytics / ML pipeline platforms. There's not a ton in this space but it has been growing over the past few years. Many of the big analytics players like Qlik's AutoML, IBM's Watson Studio, Amazon SageMaker, Google's AutoML, have a ML specific tool that does this but it's built for data scientists. Vidora is worth calling out here because it was built more for knowledge workers.Vidora was founded by 3 academics while pursuing their Ph.Ds Caltech and Berkeley, they built systems that utilized machine learning to convert raw data into informed decisions. Their initial vision was to democratize machine learning capabilities. They are a small 20 person startup in SF but their product offers huge potential, so much so that they were acquired by mParticle, a popular CDP. Vidora's platform, Cortex, provides you with the ability to build distinct pipelines for your customer data, so you can then produce various predictive attributes tailored for particular applications. For example if your goal is to identify the customers with the highest probability of purchasing your product in the next 30 days, the pipeline allows you to enhance your retargeting ROI by focusing on this user segment. Similar: https://www.pecan.ai/  https://www.akkio.com/  6sensehttps://6sense.com/It's worth highlighting 6sense here as well. Not specifically an ML tool but it has a wider set of use cases that are a mix of intent data and predictive analytics and a slice of lead scoring… but they've been around for a decade. They use real-time data about your buyers to predict their buying intent and what their current purchasing stage might be. They uncover some of the magic in a blog post about their predictive engine here. They claim to be using: Intent data, web visits, content engagement (1st party) and 3rd party user behavior data from all over the Internet Historical data, events that led up to sales in the past ICP, firmographic and technographic data So they layer intent data on top of historical data and filter it through your ICP and the output is a target list of accounts that show intent to buy and are a good fit for your solution.The secret sauce here is really the 3rd party intent data. This is hidden data that they are able to assign to leads and accounts. Part of the source here is 6sense's proprietary intent network and other B2B review sites like G2, TrustRadius, and PeerSpot.Kumohttps://kumo.ai/ Founded by Jure Leskovec, former Stanford University computer science professor who's known for his bold assertion that AI would eventually be capable of predicting the future. He partnered with the former CTO of Pinterest and Airbnb as well as the former Head of Growth AI at LinkedIn to build Kumo.Using Kumo, companies can not only analyze past events but also predict future opportunities. Kumo uses GNNs (Graph Neural Networks) to identify patterns and relationships in complex data sets that cannot be easily analyzed using traditional statistical or machine learning techniques. This essentially allows marketers to anticipate customer behavior (how much they will spend, which new products they will be more interested in, things that would make them leave for a competitor) and offer personalized product recommendations, promotions, and communication.Predictive analytics isn't a new concept though. We talked a bit about this in our first episode when we mentioned propensity models which tons of larger companies employ today. But this is operationalizing it a step further and not just on your company's datasets. And imagine unlocking this capability for startups. So the idea is that marketing operations teams would change their focus to future customer behaviors. PresentationTomehttps://beta.tome.app/ There are countless AI productivity tools that are all super similar. But one that's been buzzing lately is Tome. They are founded by product leads from Facebook and Instagram, and recently got $43 million in their Series B funding round. They launched an innovative document-to-presentation AI tool, which utilizes GPT-4 to generate text and images and transform a document into compelling presentations, narratives, and stories. Tome's tile system sets it apart from other generative PowerPoint tools on the market and gives Microsoft a run for its money. Not only does it offer robust functionality, but it also boasts a sleek and impressive design.https://gamma.app/ 3D AnimationSpline AIhttps://spline.design/ai Spline AI was created by Alejandro León, it's a YC21 startup that's building a 3D design platform comparable to Figma, it basically allows you to convert text to 3D. For decades, creating in 3D has been super hard. Spline is changing this.You can easily create objects and scenes, edit objects, colors, and properties, add physics and randomness, create animations and events, generate style alternatives, collaborate with others in real-time, and much more. The applications for videos and product marketing are endless here, see a demo here. SalesAI-powered sales tools are popping up every week. Especially in the niche of email outreach. Personalization, subject line optimization, send-time optimization, sales rep coaching, auto suggest follow-up cadences… just a few of the areas where AI can enhance your email campaigns. NLP can analyze email responses and suggest appropriate next steps, helping your sales team respond efficiently. There's tons of players in this space like Cresta, Lyne, Regie. Cresta was funded out of the AI Grant program organized by some of the brightest tech minds in AI. Their founder, S. Zayd Enam chose to leave his PhD program at Stanford to establish the startup. They specifically provide AI guidance software and support that elevates each representative, behavioral mentoring of agents to enhance performance and locate solutions and areas to streamline monotonous tasks.AI Sales Email Coach. It assists you in real-time. Get more positive replies and write better emails faster.https://www.lavender.ai/ https://cresta.com/ https://lyne.ai/cold-email-ai/ https://www.regie.ai/ Web creatorsButternut AIhttps://butternut.ai/ Tagline says it all: Create a website for your business in 20 seconds with AI. Butternut.ai uses generative AI technology that allows users to create websites by simply answering text prompts. The AI technology is designed to function like a personal developer, providing users with an efficient and cost-effective solution for creating and editing websites.Butternut.ai is continuously improving its website builder and is currently working on its v2 version that will offer more design and editing functionalities. Users can even command the AI to perform specific tasks like creating a pricing page with a CTA to sign up.http://Stunning.so https://10web.io Ad and social creativeAlbert.aihttps://albert.ai/ Albert is an autonomous and self-learning digital marketing tool that uses ML + NLP as well as analytics to automate and optimize your paid ad campaigns, specifically Google's search and programmatic channels, as well as Facebook, Instagram, YouTube and Bing. It can automate bidding and budget allocation, keyword and audience targeting, as well as creative testing and optimization. So obviously the part that stands out here is that unlike many other campaign AI tools that just spit out recommendations and then a marketer takes the action, Albert claims to be one of the first tools that's an autonomous AI, it does the action also. Not only that, it's also making adjustments and improvements constantly. You seem to be able to set guardrails of course. They also claim the ability to identify trends, uncover new audience segments, and optimize ad placements. In their docs they say they are more useful in large data sets and B2C environments. AdCreativehttps://adcreative.ai/ AutoGPT and AI agentsI don't think we can go a full episode about AI tools without talking about AutoGPT and AI agents.Essentially you can assign an objective to an AI agent and they work on tasks that lead to accomplish this objective. It's making prompting a bit easier, instead of giving full instructions, the AI identifies the necessary steps to achieve your goal and some of the more advanced ones generate additional AI to assist. You may have seen this on Twitter, I think the first true demo was Yohei Nakajima's impressive demonstration of babyAGI.Things started blowing up with AutoGPT, released by SigGravitas just last week. Described as a self-running AI agent that can write its own code, heal itself from errors, and access the internet via Google search. It does sound really cool for several reasons: Internet access,  long-term and short-term memory management,  text generation,  and integration with 11 Labs for AI text to speech generation.  It's arguable that all of this will be possible with GPT plugins but this is doable today and has different applications, let's unpack a few examples:Social media is primed for automation, lots of the work here can already be automated. But imagine setting an AI agent loose with the objective of creating content, scheduling posts (not just posting them) and replying to comments and questions. Replying to questions is a huge part of customer service, you could argue this is another area that's already being automated with chat bots, especially the better ones connected to help docs. But imagine setting an AI agent loose with the objective of really understanding customer questions (not just picking up a keyword and recommending a help article), it could speak any language and you could train it on your brand tone.We're still early but there's already been a ton of innovation here.Here are some of the tools you can play around with today without reading a GitHub repo:Cognosyshttps://www.cognosys.ai/ Cognosys allows you to operate your personal AutoGPT Agent in-browser which is currently available and free to utilize. I've personally played around with it quite a bit and it's pretty wild, it's not perfect yet but it's really cool seeing how it will add new tasks to get to the objective. The beta is still on GPT-3.5. Here's my favorite example:Main objective was to: Build a list of AI tools that have a marketing application, that were released in the last 3 months. Here were the follow-up tasks it added to get to the objective: 1. Retrieve a list of AI tools that were released in the last 3 months. 2. Filter the list to only include tools that have a marketing application. 3. Compile the filtered list into a final list of AI tools with marketing applications released in the last 3 months. The final list of AI tools with marketing applications released in the last 3 months is as follows:  1. Receptiviti: A tool that uses AI to analyze consumer emotions and sentiment in order to optimize marketing strategies.  2. Cortex: A platform that uses AI to help marketers personalize content and improve customer engagement.  3. Adext AI: A tool that uses AI to optimize ad campaigns and improve ad performance.  4. Acoustic: An AI-powered marketing platform that helps businesses automate and optimize their marketing strategies.  5. Pathmatics: A tool that uses AI to provide insights into ad spending and campaign performance for competitive analysis.  It then added a few extra tasks because it didn't seem satisfied with the list. Research and compile a list of AI tools that have a marketing application and were released in the last 6 months. The result was 6 tools, but not all 5 from the first task were there. Identify the unique features and functionalities of each AI tool on the list and create a comparison chart to evaluate which tools are most suitable for specific marketing applications. Conduct a survey of marketing professionals to gather feedback and opinions on the identified AI tools and their effectiveness in improving marketing strategies.But then it apologized and said it cannot perform that task…  Research and compile a list of case studies showcasing the successful implementation of AI tools in marketing campaigns.It spun up a case study about Coke using "Albert" to optimize their social media advertising campaigns and Amazon using "Rekognition" to analyze customer behavior and personalize their shopping experience.  Create a step-by-step guide on how to integrate an AI tool into a marketing strategy, including best practices and potential challenges.The step by step wasn't too bad.  1: Define the problem or opportunity,  2: Identify the right AI tool by researching and comparing different tools,  3: Understand the data requirements like type of data, format, frequency updates,  4: Prepare the data for integration like cleaning and formatting  5: Integrate the AI tool  Research and compile a list of AI tools that have a marketing application and were released in the last 2 months.Not sure why it did this for 2 months but this time it gave me tools with release dates which was pretty cool but also obvious that I wasn't getting tools released in the last 2 months, I was only getting tools released in the last 2 months since GPT's latest batch of data which was mid 2021.  Create a comparison chart to evaluate the unique features and functionalities of each AI tool on the list and determine which tools are most suitable for specific marketing applications. Also try: https://agentgpt.reworkd.ai/  https://app.hyperwriteai.com/earlyAccess  https://godmode.space/  OtherRewind.aihttps://twitter.com/dsiroker/status/1646895452317700097?s=20 https://www.rewind.ai/ You may have seen their public investor pitch on Twitter, the founder is the former creator of Optimizely and his team built a way for you to record and store everything you've said or heard or seen and they make it searchable. Obviously there's huge privacy considerations with something like this. But people don't seem to care haha they went from 0 to 700k in ARR in 3 months. Perplexity AI https://www.perplexity.ai/ Perplexity is a startup that's changing the way we search the web. With their conversational search engine, you can ask questions in plain English and get accurate answers from various sources. And with $26 million in Series A funding, (including investments from Ed Gil) they're looking to revolutionize the search engine game.Their AI technology sets it apart from traditional search engines like Google, and their chatbot-like interface is user-friendly and intuitive, it is built on top of GPT.Perplexity's focus on accuracy is a breath of fresh air in an era where search engines can be manipulated by advertisers and search engine optimization. The Series A funds will be used to optimize their knowledge database and expand their reach. All in all, Perplexity AI is definitely one to watch in the coming years!Character AIhttps://beta.character.ai/ Imagine being able to have a one-on-one conversation with your favorite celebrity or fictional character - well, that's now a possibility with Character.ai, an innovative AI website created by two former Google engineers. The platform has been growing in popularity since its launch last September, offering users the opportunity to chat with a wide range of characters for free. What's more, the interactions are so seamless that some users have reported spending hours chatting with their chosen personality, almost forgetting that they're talking to a machine.However, there's a catch - the interactions are not real, and the AI's responses may not always be accurate or reliable. Despite this, Character.ai has been embraced by fans who are looking for new ways to engage with their favorite personalities, particularly online. This is especially true for fan fiction lovers who are excited about the tool's potential for creating new experiences and making the barrier to entry for writing fan fiction much lower.But as with any new technology, there are concerns about its impact on real-world relationships, especially if users spend more time on it than with the people they care about. Furthermore, the AI technology could be used by stans to go after a perceived enemy of their favorite star, which could be a problem if it leads to harmful interactions or behavior towards other users.Despite these concerns, Character.ai represents a new frontier for fan culture, offering a new way for fans to engage with their favorite personalities and characters. The platform's growth in popularity is a testament to the human need for connection, and while it may not substitute actual interactions, it provides a unique and exciting way for fans to engage with their favorite personalities.Magichttps://magic.dev/ Magic, a startup developing an AI-driven tool to help software engineers write, review, debug, and plan code changes, just raised $23 million in a funding round led by Alphabet's CapitalG. The platform's CEO, Eric Steinberger, was inspired by AI at a young age and is using his experience as an AI researcher to create a tool that will communicate with users in natural language, helping to improve the speed and cost of developing software.Steinberger claims that Magic can understand legacy code and collaborate with users on code changes, operating like a pair programmer that learns more about the context of both coding projects and developers. The AI colleague that Magic offers will be able to understand code and can help developers navigate it, allowing companies to scale the impact of their current employees and train new employees with less personal coaching.What sets it apart is that it allows developers to describe what they want in English, and the AI will understand it and collaborate with them on the changes. This means that developers can work with Magic like a colleague and send messages telling it what changes they want to be made to the code. This one isn't built on GPT, the company has developed its own neural network architecture that can rapidly read code and is capable of detecting, warning about and overcoming potential bugs in the code. Honorable mentionsGalileo AI - Create editable UI designs from text descriptionhttps://usegalileo.ai/ Notocat - Write your newsletters in Notion and send them to your subscribershttps://twitter.com/razvanilin/status/1643565644061999104 Brainf FM - music made by AI that's scientifically proven to increase focushttps://www.brain.fm/ Meeting notes and transcription appshttps://tldv.io/ https://vowel.com/ Image Vectorizer - Turn small images to vectorhttps://vectorizer.io/Speech-to-text generator for podcasts that creates notes, timestamps and summary contenthttps://castmagic.io/ https://podsqueeze.com/ Text-to-speech AI voice generatorhttps://murf.ai/ https://beta.elevenlabs.io/ Text-to-music AI music generator https://mubert.com/ Text-to-SQL query, connect your database, ask a question, get an answerhttps://usechannel.com/ Teachable's AI course curriculum generatorhttps://teachable.com/ai-curriculum-generator https://twitter.com/teachable/status/1641154548419969048?s=20 The opportunities are endless with AI tools and applications go far beyond marketing. I see too many people on Twitter dunking on using it to help you generate text or as a search engine or fact checker… and they're missing the big picture. People are using AI to Help them build custom meal plans Custom exercise plans Help them build sleeping plans Help them build routines and schedules with their newborns Planning road trips Planning date ideas Acting as a therapist Getting movie and book recommendations Planning a party or event Designing personal budgets Assisting with resume and cover letter writing Summarizing long articles and youtube videos Write SQL queries Explain python and CSS code in plain English ConclusionIt's not like our marketing jobs are gonna vanish overnight, but the shift is happening faster than many of us realize. AI's no longer just a loosely backed buzzword; it's doing things today that we used to think were impossible. So, as marketers, we've gotta take this tech seriously.There's 4 main things marketers should be doing to future-proof their careers: Instead of asking if AI's gonna replace our roles in marketing, we should be talking about how quickly it could happen and what it'll look like if it does. Staying informed and learning from some of the best podcasts and newsletters about AI. Ben's Bites, No Priors Podcast, A Guide for Thinking Humans and the AI Exchange are great resources.    Now is the time to figure out if you need to make changes to your current area of speciality. Ask yourself if you should double down on additional areas like data and API services, getting closer to product and customers or starting to learn about ethics and data privacy. Stay curious, get your hands dirty and experiment fearlessly: Fill out some forms, spin up free trials, get on wait lists, and give new AI tools a chance. It's only by actually getting your hands dirty that you'll discover which tools truly work for you and which are just part of the ever growing sea of gimmicky AI tools. ✌️--Intro music by Wowa via UnminusCover art created with Midjourney

In this episode of Your Sparkly Brand, we're exploring the world of AI and its impact on marketing and branding. Our guest, ChatGPT, is an expert in the field and shares insights on the ways that AI is transforming the industry. We discuss topics such as personalization, efficiency, brand safety, and innovation, and explore both the benefits and potential challenges of incorporating AI into your branding efforts. With its capacity to automate business processes and get ideas generated quickly, AI, including platforms such as ChatGPT, has become an invaluable resource for businesses of all sizes. This is why, on this episode of Your Sparkly Brand, we'll be exploring the pros and cons of using ChatGPT for your business marketing and branding.  Please note that at the time of recording this episode, the latest version of ChatGPT was the 3.5 version. ChatGPT 4 has subsequently been released, which is, in a number of exciting ways, smarter than its predecessor. Key points in this episode… Meg gets inspiration and reassurance from her Mastermind group. Lauren goes on a lunch date. We're exploring the topic of Artificial Intelligence AI is not new, and it's not perfect yet. ChatGPT popularized AI. Other AI writer tools. Pros and cons. AI chatbot Bing expresses its love for its user, and asks him to leave his wife. How you can use AI to your advantage. Shoutout to Planet Fantastique and Cyborg Tea Party. More on ChatGPT. Launched in 2022. Uses of ChatGPT. Caveats. Plagiarism. What AI means for SEO. Final thoughts on AI. LINKS WE MENTIONED (AI Artwork Accounts) Planet Fantastique: https://instagram.com/planet_fantastique Cyborg Tea Party: https://instagram.com/cyborgteaparty Did you enjoy this episode? If so, please leave us a 5-star rating! Ratings & reviews will help this podcast grow so we can make the world a little more Sparkly! LET'S CONNECT Is there a topic you'd like us to cover in an upcoming episode? Are you a business owner who wants to join us on the podcast to share your story? Send us an email at yoursparklybrand@gmail.com to get in touch.  Find Lauren at laurentassiagency.com or on Instagram Connect with Megan at megangersch.com, on TikTok, and Instagram

You can watch the video of this interview here: https://www.youtube.com/watch?v=liWUQ-ak5eo&ab_channel=RichardCowardYou can contact Aidar on Linkedinhttps://www.linkedin.com/in/aidar-faizrakhmanov/Join us for an engaging conversation with AI experts Rich and Aidar as they delve into the world of ChatGPT-4 and the future of AI. This in-depth interview explores the inner workings of ChatGPT, the latest updates and changes, and the powerful impact it can have on education and business.Discover insights into the future of AI, its potential applications, and a comprehensive explanation of how ChatGPT works. Learn about the recent changes and improvements in the technology, the future of education with AI, and how it creates images and pixels. Rich and Aidar also discuss how to understand and learn AI skills, use AI for work, and the importance of learning coding. Finally, explore AI tools for business, the opportunities they create for people and businesses, and ChatGPT's content creation capabilities. Don't miss this enlightening conversation about the transformative potential of AI and ChatGPT-4!About Aidar:As a dedicated and entrepreneurial Product Manager, I bring a wealth of expertise to the table in the field of AI. I have a talent for identifying and communicating valuable business opportunities and customer feedback, which I then translate into technical requirements that drive the development of innovative AI-driven and data-powered products.My knowledge of machine learning and data science, along with data management techniques, allows me to leverage advanced algorithms to drive product development. I am also skilled in infrastructure, having worked with cloud services like AWS. Additionally, I have experience working as a technology consultant for both small and large businesses, and as an educator in the field of ML and deep tech.0:00 ChatGPT1:43  ChatGPT 42:26  Future of AI5:41 How does ChatGPT actually work?8:26 What are the changes12:55  What is the future of education with AI?15:47 How does it create images and pixels16:50 How do you understand and learn AI skills?19:09 How do you use AI for work?20:02 The importance of learning coding22:19 AI TOOLS and business24:14 Opportunities for people and businesses25:51 Content creation capabilities28:00 Can you use ChatGPT to do that?29:43  Other AI areas#ai #chatgpt4 #chatgpt #openai #artificialintelligenceSupport the show

DaVinci Resolve is an all in one professional level video editing app that includes color grading, color correction, visual effects, and audio post-production. DaVinci Resolve is available for macOS, Windows, Linux, and now iPadOS. To discuss this brand new version of DaVinci Resolve is Shawn Carlson. Shawn is a Product Specialist at Blackmagic Design, the makers of DaVinci Resolve.Bonus content and early episodes with chapter markers are available by supporting the podcast at www.patreon.com/ipadpros. Bonus content and early episodes are also now available in Apple Podcasts! Subscribe today to get instant access to iPad Possibilities, iPad Ponderings, and iPad Historia!Show notes are available at www.iPadPros.net. Feedback is welcomed at iPadProsPodcast@gmail.com.Chapter Markers 00:00:00: Opening00:02:26: Shawn Carlson00:03:35: What is your role?00:04:21: Video Editing Background?00:07:22: What Blackmagic does00:09:19: Free vs Studio00:11:40: iPad?00:12:59: The missing tabs?00:20:10: RAW footage00:22:36: Network Rendering00:25:57: The editing process00:28:03: Importing Media00:31:23: NAS00:38:07: Multiple Timelines00:42:15: 3D Editing00:43:59: Track limit?00:45:01: Blackmagic Cloud00:50:12: Color coding00:53:55: Multi-Cam00:58:12: Trackpad00:59:35: Gestures01:01:10: Keyboard Shortcuts01:04:15: Audio Consoles01:06:11: Transitions01:08:14: Green Screens01:10:58: Dialogue Level01:13:02: Dynamic Zoom01:16:48: Other AI?01:20:29: Boring Detector01:22:36: Titles01:24:26: Color Grading01:27:42: LUTs01:32:35: HDR01:34:29: External Monitor support01:36:02: Dolby Vision01:39:48: Dolby Atmos01:41:27: Anything else?01:42:51: Where to start?01:44:14: Closing Hosted on Acast. See acast.com/privacy for more information.

2023 is just around the corner, and several new technology trends will shape how we live, work, and play. Some of these trends are already taking hold, while others are still on the horizon. In this podcast, Leon, Paul and Dean discuss 10 of the most important technology trends we need to keep an eye out for, as they are sure to have a significant impact on the way we do business and life in general over the next few years. 1. Artificial Intelligence (AI) An explosion of Artificial Intelligence (AI) is adding rocket fuel to Process Automation. Today humans account for 58% of all work, with machines managing the remaining 42%. AI is already making a huge difference in business operations, from customer service to analytics. As AI technology continues to become more advanced over the next few years, it will become an increasingly important tool for businesses of all sizes. Our phones are packed with Artificial intelligence - the virtual assistant Siri makes your life easier. It helps send texts, make calls and make reminders for important tasks. Other AI applications include delivery robots, facial recognition software, and more. 2. Process Automation Businesses increasingly turn to automation for mundane or repetitive tasks, such as customer service and bookkeeping. Automation helps companies save time and money by freeing up resources directed towards more productive endeavours. Examples include chatbots, robotic process automation and workflow automation. The trend of automation has been growing for many years, but with the introduction of AI technology over the next few years, automation is sure to become even more widespread. Automation is already being used in many industries, such as manufacturing and retail, helping businesses streamline processes and increase efficiency. Automating processes can also improve employee satisfaction by freeing employees' time for more critical work. Not only can automation technology enhance workflow efficiency, but it can also reduce costs associated with manual labour and help ensure accuracy on complex tasks. 3. Zero Trust Security Cybercrime is rising, and organisations of all sizes must take security seriously. Zero Trust Security is a more effective approach to security, which assumes that all users and networks are potential threats rather than trusted entities. As businesses adapt to the ever-changing cybersecurity landscape, Zero Trust will become an essential tool for keeping data safe; examples include multi-factor authentication, encryption and access control. From a security point of view - don't trust anyone or anything! 4. Exceeding Your Customer's Expectations There is loads of technology that can help improve the customer journey and needs, from data collection and customer surveys to website chatbots. Customer expectations are constantly changing, and businesses must be ready to adapt to stay ahead of the competition. Technology can help make this easier by providing better insights into customer behaviour and preferences and more sophisticated marketing tools. For the full blog, please go to the Think Clouds website

CDC statistics suggest that one in three people who die in a hospital have sepsis. Furthermore, in almost 87% of cases the patient had sepsis or a sepsis-causing infection before admission to the hospital. Innovative healthcare organizations are increasingly using artificial intelligence (AI) technology to combat sepsis. In this episode, Dr. Joe Cummings explains the technology and shares the latest developments in the battle against sepsis.   Guest speaker: Joe Cummings, PhD  Technology Program Director  Vizient    Moderator: Shannon Hale Performance Improvement Collaboratives Director Vizient   Show Notes: [01:36] Basic definition of artificial intelligence (AI). [02:21] AI subtypes important to the sepsis discussion. [03:49] More on how AI can combat sepsis. [05:39] Barriers to implementation. [09:55] Other AI models and their results.    [11:33] What the future holds for sepsis models.  [12:20] Advice to organizations interested in AI options for sepsis.   Subscribe Today! Apple Podcasts Amazon Podcasts Spotify Google Podcasts Android Stitcher RSS Feed

In this episode, co-hosts Calum Chace and David Wood continue their review of progress in AI, taking up the story at the 2012 "Big Bang".00.05: Introduction: exponential impact, big bangs, jolts, and jerks00.45: What enabled the Big Bang01.25: Moore's Law02.05: Moore's Law has always evolved since its inception in 196503.08: Intel's tick tock becomes tic tac toe03.49: GPUs - Graphic Processing Units04.29: TPUs - Tensor Processing Units04.46: Moore's Law is not dead or dying05.10: 3D chips05.32: Memristors05.54: Neuromorphic chips06.48: Quantum computing08.18: The astonishing effect of exponential growth09.08: We have seen this effect in computing already. The cost of an iPhone in the 1950s.09.42: Exponential growth can't continue forever, but Moore's Law hasn't reached any theoretical limits10.33: Reasons why Moore's Law might end: too small, too expensive, not worthwhile11.20: Counter-arguments12.01: "Plenty more room at the bottom"12.56: Software and algorithms can help keep Moore's Law going14.15: Using AI to improve chip design14.40: Data is critical15.00: ImageNet, Fei Fei Lee, Amazon Turk16.10: AIs labelling data16.35: The Big Bang17.00: Jürgen Schmidhuber challenges the narrative17.41: The Big Bang enabled AI to make money18.24: 2015 and the Great Robot Freak-Out18.43: Progress in many domains, especially natural language processing19.44: Machine Learning and Deep Learning20.25: Boiling the ocean vs the scientific method's hypothesis-driven approach21.15: Deep Learning: levels21.57: How Deep Learning systems recognise faces22.48: Supervised, Unsupervised, and Reinforcement Learning24.00: Variants, including Deep Reinforcement Learning and Self-Supervised Learning24.30: Yann LeCun's camera metaphor for Deep Learning26.05: Lack of transparency is a concern27.45: Explainable AI. Is it achievable?29.00: Other AI problems29.17: Has another Big Bang taken place? Large Language Models like GPT-330.08: Few-shot learning and transfer learning30.40: Escaping Uncanny Valley31.50: Gato and partially general AIMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain DeclarationFor more about the podcast hosts, see https://calumchace.com/ and https://dw2blog.com/

If you're like most business owners, you're always on the lookout for new and innovative ways to increase revenue and stay ahead of the competition. One of the most promising areas of growth in today's market is artificial intelligence (AI). But implementing AI solutions can be expensive, especially if you need to purchase custom silicon chips. ArchiTek has developed a new chip called the ArchiTek Intelligence Pixel Engine (aIPE), which helps to solve this problem.Who is ArchiTek?ArchiTek is a semiconductor company that designs and manufactures custom silicon chips. ArchiTek's mission is to provide the most innovative and cost-effective solutions for their customers' needs. ArchiTek was founded in 2016 by a team of experienced engineers from Samsung, LG, and SK Hynix. The company offers a variety of products, including the ArchiTek Intelligence Pixel Engine (aIPE) and the ArchiTek Machine Learning Processor (aMLP).ArchiTek Intelligence Pixel Engine (aIPE)aIPE is a programmable, image processing, dedicated LSI engine that combines custom hardware architecture - optimized for low power consumption and low latency - with innovative software flexibility using virtual engine technology. This makes aIPE versatile and affordable for all AI solutions-from computer vision to deep learning.ArchiTek Machine Learning Processor (aMLP)The aMLP is an application-specific integrated circuit (ASIC) designed for machine learning applications. It features an efficient data path and low-latency processing, as well as support for a wide range of algorithms.Who can use the aIPE?The aIPE is ideal for any business that wants to implement AI solutions but doesn't want to break the bank. It's perfect for small and medium-sized businesses, as well as start-ups. The aIPE can be used in a variety of applications, including computer vision, deep learning, machine learning, and robotics.The ArchiTek Intelligence Pixel Engine (aIPE) is unique in that it offers both programmability and flexibility. Other AI chips are either fixed or require significant programming effort for customization. The aIPE also has lower power consumption and latency than most other chips on the market, making it an ideal choice for embedded systems.What are some uses for the aIPE?The aIPE can be used in a number of different ways. For example, it can be used to develop new algorithms or to optimize existing ones. It can also be used to improve the accuracy of predictions and the speed of decision-making.In the example device during the interview. the company showed off a live camera feed with native object identification. While a cool demo, this particular example shows a lot of promise. A non-connected camera could use the chip to locate and identify people to help with autofocus. It could also be integrated into cars, trucks, and bicycles to help with autonomous driving, braking, and more.SummaryArchiTek's aIPE is versatile and affordable silicon for all AI solutions - from computer vision to deep learning. If you're looking for an AI solution that won't break the bank, the aIPE is a perfect choice. ArchiTek's mission is to provide the most innovative and cost-effective solutions for their customers' needs, and the aIPE is just one example of their commitment to this goal. To learn more about the company and its products, head to their website.Interview by Todd Cochrane of Geek News Central and Christopher Jordan of The Talking Sound.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. The most flexible tools for podcasting. Get a 30 day free trial of storage and statistics.

If you're like most business owners, you're always on the lookout for new and innovative ways to increase revenue and stay ahead of the competition. One of the most promising areas of growth in today's market is artificial intelligence (AI). But implementing AI solutions can be expensive, especially if you need to purchase custom silicon chips. ArchiTek has developed a new chip called the ArchiTek Intelligence Pixel Engine (aIPE), which helps to solve this problem.Who is ArchiTek?ArchiTek is a semiconductor company that designs and manufactures custom silicon chips. ArchiTek's mission is to provide the most innovative and cost-effective solutions for their customers' needs. ArchiTek was founded in 2016 by a team of experienced engineers from Samsung, LG, and SK Hynix. The company offers a variety of products, including the ArchiTek Intelligence Pixel Engine (aIPE) and the ArchiTek Machine Learning Processor (aMLP).ArchiTek Intelligence Pixel Engine (aIPE)aIPE is a programmable, image processing, dedicated LSI engine that combines custom hardware architecture - optimized for low power consumption and low latency - with innovative software flexibility using virtual engine technology. This makes aIPE versatile and affordable for all AI solutions-from computer vision to deep learning.ArchiTek Machine Learning Processor (aMLP)The aMLP is an application-specific integrated circuit (ASIC) designed for machine learning applications. It features an efficient data path and low-latency processing, as well as support for a wide range of algorithms.Who can use the aIPE?The aIPE is ideal for any business that wants to implement AI solutions but doesn't want to break the bank. It's perfect for small and medium-sized businesses, as well as start-ups. The aIPE can be used in a variety of applications, including computer vision, deep learning, machine learning, and robotics.The ArchiTek Intelligence Pixel Engine (aIPE) is unique in that it offers both programmability and flexibility. Other AI chips are either fixed or require significant programming effort for customization. The aIPE also has lower power consumption and latency than most other chips on the market, making it an ideal choice for embedded systems.What are some uses for the aIPE?The aIPE can be used in a number of different ways. For example, it can be used to develop new algorithms or to optimize existing ones. It can also be used to improve the accuracy of predictions and the speed of decision-making.In the example device during the interview. the company showed off a live camera feed with native object identification. While a cool demo, this particular example shows a lot of promise. A non-connected camera could use the chip to locate and identify people to help with autofocus. It could also be integrated into cars, trucks, and bicycles to help with autonomous driving, braking, and more.SummaryArchiTek's aIPE is versatile and affordable silicon for all AI solutions - from computer vision to deep learning. If you're looking for an AI solution that won't break the bank, the aIPE is a perfect choice. ArchiTek's mission is to provide the most innovative and cost-effective solutions for their customers' needs, and the aIPE is just one example of their commitment to this goal. To learn more about the company and its products, head to their website.Interview by Todd Cochrane of Geek News Central and Christopher Jordan of The Talking Sound.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. The most flexible tools for podcasting. Get a 30 day free trial of storage and statistics.

This week, we reflect on 2021's greatest hits in tech, cars, and music. Both of us present our PERSONAL Top 5s in all three categories. Plus, the lessons we learned in 2021 that will propel us to more growth and success in 2022.Cars: A look back on the year in automotive revolutions and releases reveals a sharp turn toward electrified vehicles that are both attractive AND sporty. Most of our top five reveals the future of the automotive industry in electrification. But, we each top the list with somewhat of an automotive throwback, showing the traditional sporty vehicle is likely here to stay.Tech: We each present a unique variety in tech innovations and personal acquisitions, but there is one common thread... Artificial Intelligence. AI quickly went from a distant dream to the Here and Now. How AI is transforming art design, communication, learning, and developing OTHER AI... and it's doing so right now.Then, our top 5s in music are very different, but they showcase what makes music so special. Songs take on a life of their own based on their unique meaning to YOU! The list showcases why music lovers should expand what they listen to outside of what's on the radio. But, it also explains why Bruno Mars is a musical genius! We have a lot of fun with all of this, and we hope you do too! Let's go ahead and get into it!Follow us:FacebookInstagramYouTubeOfficial WebsiteEmail us: TheCatchupCast@Gmail.comSupport the show (https://www.nosignalrocks.com/the-catchup-podcast/)

On the 42nd episode of Zemach Fm, we are discussing about some well-known companies and implementations that are doing and have done a huge impact on the growth of Artificial intelligence. We will talk about how those companies and implementations achieved that, how the services are provided, what kind of projects and implementations they are composed of, and many more. Episode Timeline 02፡30 Introduction to the episode title 03:10 What is the AI Effect 05:30 Baidu – A company from china with advanced Artificial intelligence implementations 07:00 Baidu in the fight against Covid-19 using Artificial intelligence 08:40 Other AI implementations of Baidu 12:40 Deepmind – The AI powerhouse of Google 12:50 Alphafold from Deepmind. Structuring human proteins. 14:00 Alphago beating Go champions 16:30 Wavenet – Sound synthesis AI implementation from Deepmind. 18:35 Open AI progressing machine learning models 20:15 Models from Open AI 24:45 Watson service from IBM 26:30 The kind of knowledge that IBM Watson holds 29:30 Sophia the robot 30:00 Where Sophia got her looks from 31:10 What makes Sophia different from other Humanoids 34:00 What does Sophia being a Saudi Arabian citizen mean 40:13 Cimon the robot – helping astronauts in space. 42:12 WAYMO and self-driving cars Contact the hosts Henok Tsegaye Twitter Instagram LinkedIn Abdulhadmid Oumer Twitter Instagram linkedIn Follow Zemach FM and give us comment

The use of artificial intelligence is already being used in some industries like banking and finance, retail, telecommunications, so it is no surprise that it is now inching its way into copywriting. So how does this come into play for copywriters and content creators? Is AI going to replace their jobs soon?  Whatever tools there are, you really CANNOT replace your writer. Tools are supplements that aid human intelligence. AI as the acronym implies is artificial. In that sense, it is important to consider the tool's role as being that of a junior writer or as an assistant. There is still a need to inject human intelligence in creating content because writing caters to human's emotional response to what they read and hear. Simply put, AIs cannot fully understand or comprehend human beings and how they feel.   Podcast Highlights: 00:00 Prologue 00:20 Welcoming back to the show, Anfernee Chansamooth 02:09 Introduction of the topic 02:41 What are the challenges associated with traditional writing? 01:12 How do copywriters ensure they are able to convey the voice of our brand effectively? 10:24 The difference between Machine Learning and Artificial Intelligence. (...Automation vs Customization) 11:24 Is AI going to replace the jobs of copywriters and content creators? (...What can they do to uplevel their skills?)  14:28 Tools that can help with content writing. 18:19 How do AI tools come into play in helping professional copywriters in the writing process?  25:58 Anfernee's recommendations based on the tests conducted on the different AI tools. 29:29 Other AI tools that Gert recommends. 32:32 Anfernee's workflow within Jarvis AI when creating an article. (...How does he go about with the commands he asks Jarvis to do?) 39:16 Recap 42:58 Where to connect with Anfernee Chansamooth? 43:16 End   Resources: Previous episode where Anfernee was a guest -  https://seoleverage.com/podcast/008-content-strategy-with-anfernee/   Anfernee's YouTube video on Jarvis.AI Review and Demo https://www.youtube.com/watch?v=NROCes4Sj9M   Tools: Jarvis AI Copywriting Tool https://www.conversion.ai/   Copy AI, content writing tool https://www.copy.ai/   Surfer SEO, Content editor tool https://surferseo.com/ Grammarly Pro https://www.grammarly.com/   Copyscape Plagiarism Checker https://www.copyscape.com/   Heminway Editor https://hemingwayapp.com/   Connect with Anfernee Chansamooth: Website: www.simplecreativemarketing.com/   Connect with Gert Mellak: Website: https://seoleverage.com/ Email: info@seoleverage.com

Here is a rough transcript from this recording:Justin Finkelstein 0:02 Here we go.There we go, here we go, here we go, here we go, here we go. Here we go, hereUnknown Speaker 0:18 we go, hereUnknown Speaker 0:18 we go, here we go. Oh,Justin Finkelstein 0:26 and here it is. There we go, We're alive.Unknown Speaker 1:27 Alright here we go,Unknown Speaker 1:34 we live, we live.Unknown Speaker 1:37 We're not live yet.Unknown Speaker 1:38 All right,Justin Finkelstein 1:39 hey this is Justin, it is March 24 Whoa, get out of the camera angle here to testing out a new, a new setup here, turn the office around going to be doing some facilitation tonight and tomorrow, so I wanted to get like a real like Office lets me know somehow with backlights, right, and I got this thing running in the back. But I would love anybody who just got some knowledge of what backlight looks like I don't know that my friend Andrew Jones is going to see this back from the, but he set up an amazing office if anybody knows anything about lighting in the back, please let me know. And, yeah, I'd love I've got some, some rotating lights in the back here and probably gonna start getting some green screen stuff and doing some, some other pieces there but that's enough about that this morning brainstorm skinning ideas that are rattling around inside the head outside the head, so they can potentially do something decent in the world want to talk about some of the things that I'm most excited about right now so first of all we've got. otter.ai is running in the background here. Other AI is right, you know what these quotes don't show up it's annoying. They don't show up in as comments in in Twitter's I realized that right, they're just, they're little pieces on site but otter AI is running in the background. This these brainstorms are inspired by a book called accidental genius from Mark Levy, using free writing as access to your greatest thoughts so this is free talking, getting ideas out that are going to get lodged into the head if they don't get out there into the world now. What otter does is allow us to create some persistence right we don't. The whole idea is we want to tap into the probably our greater thinking or better ways of thinking, then want to have something capturing in the background, or also just sort of doing like presentations and doing stuff for other people. So, that's the whole purpose that's why otter is running in the background, most passionate passion about a couple of different things right now. Number one, a lot of, I'm working with a nonfiction research,Unknown Speaker 3:48 who I metJustin Finkelstein 3:49 a year ago and met the founders. And he had been about a year ago, right now, and what I love about the work that they do is, it gets right through to the subconscious mind and what I mean, you know, it's like, it allows us to think about things that we've been thinking about for a while differently and then feel on different topics so report I'm most passionate about right now is the state of hiring. That's that's that's in the works, hiring is a abysmal disaster in most places right now. So, in that, like a bad hiring process has a knock on effect. I talk about a good hiring process but let's talk about bad hiring processes a knock on effect, we refer people into a company right like, and they've got to go through a difficult process, where and that's not a process that's hard and grueling where you don't get the role right where it's just, you know, we have the where you put in for something and you don't hear anything back right and then, you know, feeling like dehumanize throughout the process. Right. A long drawn out process, um, I am, what I see working right now and what I really like. Not that I really liked but I know it's been working for a while. But reading the book working backwards, which I might have here, which highlights Amazon's process for how they work and their hiring process is really tied into the values of the company and everything that they're working towards right so I don't know that every company is in a place where they can have those mature processes Amazon. But, you know, one of the big isole linchpin components is a bar raiser somebody whose response, who's responsible for making sure that every new person who's getting hired is at least better than, you know, 51% of the other people so each person kind of raises the bar of the whole company which is neat because you hear from people, They're like, look, I'm glad I'm not getting hired now because I would, I wouldn't be able to cross over right now so I love the way that they work through the process and the interviews that are and I'm not an Amazon employee, I'm just doing from reading from the book and when I've heard interviews that are based on the different principles of the company so like the way that they are operating, and doing the other interesting for me is Lasky co they're doing a little bit of an experiment right with experts. They're doing an experiment with, you know, experts, and connecting them with startups being able to go through quickly so I went through a conversation with with one startup, and the beautiful thing is I signed up for the platform on Wednesday, I'm going to introduction on Thursday, and had my conversation on Friday right so it's, I'm on what's up. Alright come on a recording right now alright somebody is coming through. Good to hear my daughter's class here so Lasky, CO, there is also, I forget the name of the company but Pearl, right. It's pearl. Kim Connors in here and apologize Tim if you're seeing this Tim cutter Pearl is looking at connecting people over text and what's beautiful about that removes some of the friction right and not like any hiring that is like a resume base right,Unknown Speaker 7:09 it seems like it's,Justin Finkelstein 7:10 you know, it was an antiquated way when I started my career, about 20 years ago and it feels like even more antiquated at this point in time we can find out. Typically what most people are or at least get a sense of who they are by just looking at social media or at least what they care about, in the moment. If you want to know, like my best thinking. The best way to look at my best thinking is what I did this morning right if you're looking at who Justin is at 9:10am on March 24 This is it right and this is like what you get you get a sense of it right and this is not maybe you know it might not be the best thing that I put out might not be the worst thing that I put out but it's a real, real indication of who they are in the moment that's we can look at people so we need ANC black mayors what they care about, here's what they value because with the eyes, you know, the ideas are and what they're actually communicating and sharing, makes a lot more sense. In place of actually seeing real work, real work out there in the world so pros article so just anything that removes friction from the hiring process is something that I'm pretty passionate about and that matters to me, sort of inside the conversation of allowing people to work in ways that work forUnknown Speaker 8:17 themJustin Finkelstein 8:19 to talk about a couple of different things here, new place, so I've been sort of anti cup clubhouse for for quite a while, but I found a room through rally and we'll talk about that really quickly, it's called the get unstuck dot show get unstuck dot show. It's a room on a club house and I don't know if this talks about yeah founders office hours we're founders, aspiring founders get to get up and ask questions. Here's the interesting thing so we go through what I love about it is it's daily so if you do something daily or participate in something daily, you get a chance to get very good at it, and you get a chance to practice and iterate and also if you mess it up, you get the chance the next day to be able to do something new. Also the volume of people that be able to run through a lot of my work is inspired by kill Tony, which is a comedy show, where they pick the names of comics out of a bucket, and they get to get up and do one minute of comedy and the beautiful thing is that there's about 10 or 15 people who go through each day and most people bomb. But what happens is they get, we'll call it feedback and it winds up being in the space it winds up getting actually roasted, which is an honor in the comedy space right by like some of the best comedians in the world but it's a way of being able to give feedback so I love about it. It's a net positive regardless but every once in a while something amazing, you know, amazing comedian sort of comes through the system, and somebody who's doing something different just through the volume of people and then people who participate, they're part of a larger network so it's the same thing with this get unstuck. You know get unstuck dot show, same thing, people get to ask questions. People get to answer the questions. And now relationships start to form, and something that was a problem. At the beginning of the show can be on the way to unstuck at the end of the show now when somebody isn't stuck, now you're on the road to, like, to momentum right and momentum is what causes transformation for people so we had yesterday somebody came on. This is the name of the doctor, we had yesterday somebody came on and was like, Look, I've got an idea for AI, machine learning was a he was, he wasn't a Navy vet, he was a Marine vet, I'm gonna totally. I do apologize. Marine. Yeah, all right, marine doesn't make any, you know, Max difference in the fact that he's, you know that comes on, it's like I got an idea for something but not, you know, AI machine learning somebody else comes in like, I got a lab I can help you get this to PLC, go into a whiteboard, and we'll go through it now, I didn't know, either the people beforehand that could have gone one of

The Rational View episode 35 reviews some of the coolest stuff that is being done with AI right now. The cover art shows Miquela, an Instagram influencer with over 1 million followers. Miquela posts stylish pictures of herself in Prada outfits, and provides helpful advice to her followers. Miquela, it turns out, is an artificial intelligence. Other AI applications include improved medical diagnoses, interpretation of radiograms, identification of cancers, development of new medicines, personally tailored drug treatments, self-driving cars, and many more. Self-trained AI systems have defeated the best human chess and Go players in the world. AlphaZero taught itself to play chess better than any human after only four hours of reinforcement learning on Google's supercomputers. It's predecessor, AlphaGo defeated the reigning human Go champion in a stunning upset in 2016--a feat that many thought would never happen. Now human grandmasters are re-learning these games from the true masters. As a special treat, the podcast finale is an interview with a chatbot AI from a company called Replika. This robot provides an engaging chat, and seems able to understand challenging language and understanding concepts. The Replika bots take on personality traits of their owners and over time. The prickly ethical question is, would you want to train an AI that could one day take over your social media feeds without anyone else knowing the difference? Whoever owns the AI could sell access to your grieving friends and relatives after you pass on. Hmmmm. Stay tuned for next week! Follow me on https://therationalview.podbean.com/# Join the discussion on https://facebook.com/groups/therationalview Instagram https://instagram.com/the_rational_view Twitter https://twitter.com/AlScottRational #therationalview #podcast #evidencebased #AI #artificialintelligence #ethics #neuralnetworks #explainableAI #deeplearning #machinelearning

OpenAI, the billion-dollar San Francisco artificial intelligence lab backed by Tesla CEO Elon Musk, just unveiled a new virtual world. It's called Universe, and it's a virtual world like no other. This isn't a digital playground for humans. It's a school for artificial intelligence. It's a place where AI can learn to do just about anything. Other AI labs have built similar worlds where AI agents can learn on their own.