Podcasts about democratizing ai

Join Andrew Wesbecher (Powered_By) and Michael Krigsman on CXOTalk episode 878 to discuss how AI agents can help small businesses succeed in 2025. Learn from industry experts and discover the benefits of using AI technology for your SMB to stay ahead of the competition!Learn more from www.poweredby.agency===================

saas.unbound is a podcast for and about founders who are working on scaling inspiring products that people love, brought to you by https://saas.group/, a serial acquirer of B2B SaaS companies.In episode #11 of season 5, Anna Nadeina talks with Paddy Srinivasan, CEO @Digital Ocean--------------Episode's Chapters----------------02:49 Digital Ocean's Mission and Scale04:49 Challenges and Opportunities in Cloud Computing06:22 Digital Ocean's Unique Value Proposition10:19 AI and Its Impact on Business14:46 Democratizing AI with Digital Ocean25:12 Innovation and Hackathons at Digital Ocean34:11 Reflections and Future Outlook37:59 Closing RemarksPaddy - https://www.linkedin.com/in/paddysrinivasan/Digital Ocean - https://www.digitalocean.com/Subscribe to our channel to be the first to see the interviews that we publish twice a week - https://www.youtube.com/@saas-groupStay up to date: Twitter: https://twitter.com/SaaS_groupLinkedIn: https://www.linkedin.com/company/14790796

Tech leaders from RingCentral, Zoom and AWS discuss how generative AI is transforming business communications while balancing challenges & regulatory concerns in this rapidly evolving landscape.Topics Include:Introduction of panel on generative AI's impact on businesses.How to transition AI from prototypes to production.Understanding value creation for customers through AI.Introduction of Khurram Tajji from RingCentral.Introduction of Brendan Ittleson from Zoom.How generative AI fits into Zoom's product offerings.Zoom's AI companion available to all paid customers.Zoom's federated approach to AI model selection.RingCentral's new AI Receptionist (AIR) launch.How AIR routes calls using generative AI capabilities.AI improving customer experience through sentiment analysis.The disproportionate value of real-time AI assistance.Economics of delivering real-time AI capabilities.Real-time AI compliance monitoring in banking.Value of preventing regulatory fines through AI.Voice cloning detection through AI security.Democratizing AI access across Zoom's platform.Monetizing specialized AI solutions for business value.Challenges in taking AI prototypes to production.Importance of selecting the right AI models.Privacy considerations when training AI models.Maintaining quality without using customer data for training.Co-innovation with customers during product development.Scaling challenges for AI businesses.Case study of AI in legal case assessment.Ensuring unit economics work before scaling AI applications.Zoom's approach to scaling AI across products.Importance of centralizing but federating AI capabilities.Breaking down data silos for effective AI context.Navigating evolving regulations around AI.EU AI Act restrictions on emotion inference.Balancing regulations with customer experience needs.Future of AI agents interacting with other agents.How AI enhances human connection by handling routine tasks.Impact of AI on company valuations and M&A activity.Participants:Khurram Tajji – Group CMO & Partnerships, RingCentralBrendan Ittleson – Chief Ecosystem Officer, ZoomSirish Chandrasekaran – VP of Analytics, AWSSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon/isv/

What happens when AI meets automotive repair? Can technology bridge the growing knowledge gap between seasoned mechanics and the next generation of technicians? And how will the “Right to Repair” movement reshape how vehicles are maintained in the future? In this episode of Innovation Storytellers Show, I sit down with Eric West, Chief Growth Officer at Convertible AI, to explore the intersection of AI, workforce training, and the future of vehicle diagnostics.  Eric shares his perspective on the hidden complexities behind the so-called "technician shortage" and explains why the issue goes far beyond a simple lack of workers. He highlights how AI can capture and distribute the knowledge of master mechanics, ensuring that valuable expertise is not lost as older generations of technicians retire. The ability to embed decades of experience into AI-powered diagnostic tools can revolutionize the way mechanics diagnose and repair vehicles, making training more efficient and ensuring accuracy in the repair process. One of the most significant shifts in the industry is the growing push for Right to Repair legislation. Eric discusses how this movement challenges the traditional power balance between independent repair shops and major automakers. As proprietary repair information becomes more accessible, AI-driven tools could empower smaller shops with the same level of technical insight as dealership service centers, ultimately creating a more competitive and consumer-friendly industry. The conversation also touches on the role of synthetic data in AI innovation. Eric explains how AI-generated datasets are helping businesses predict vehicle issues before they occur, providing a new level of preventative maintenance. With the ability to simulate real-world conditions and test different scenarios, synthetic data is allowing auto manufacturers and repair shops to stay ahead of potential problems, improving efficiency and reducing costly repairs. So, what does the future of AI-powered workforce training look like? How will AI reshape industries where hands-on expertise has always been essential? And most importantly, how do we ensure that innovation benefits the people who drive these industries forward? Let's continue the conversation. ********** You have a limited offer you can use now, that gets you up to 48% off your first subscription or 20% off one time purchases with code STORYTELLERS20 at checkout  You can claim it at: https://magicmind.com/STORYTELLERS20

In this episode, host Matt Paige sits down with AI expert Andreas Welsch to talk about how companies can turn AI hype into real business value. Andreas shares his experience working with big enterprises and stresses the importance of training teams to use AI effectively. He explains that success in AI isn't just about using new tools—it's about better leadership and smarter integration into everyday work.They discuss practical ways to boost AI skills through “social blended learning,” which mixes quick lessons with hands-on practice. Andreas also talks about the evolving role of the chief AI officer, who helps bridge the gap between tech and business, and shares thoughts on the future of AI agents and prompt engineering in transforming traditional work.Looking ahead, the conversation covers how AI tools are becoming more accessible and powerful, making it easier for anyone in an organization to experiment and innovate. The discussion highlights the need for clear strategies and training, ensuring that technology supports real business outcomes while preparing teams for a changing work environment.Key Moments: The Importance of AI LiteracySocial Blended Learning ExplainedEmpowering Teams with AI ToolsThe Rise of the Chief AI OfficerAI Leadership as a Transitional RoleUnlocking Potential with AI AgentsShifting from Software to ServiceOrchestrating AI Across DepartmentsHuman-Centered AI DesignKey Links:Andreas' WebsiteConnect with Andreas Welsch on LinkedInLinkedIn Learning Courses:Agentic AI: Challenges and Opportunities for LeadershipAI Agents: Preparing Your Organization for Change as a Business Leader

In this episode, host Ellie Tehrani sits down with AI and data analytics leader Koyelia Ghosh Roy to unpack the transformative power of AI in modern marketing. From democratizing data insights to creating hyper-personalized customer experiences, Koyelia shares invaluable insights from her journey from business analyst to AI leadership. Discover how leading brands like Starbucks and Nike are leveraging AI, learn about the pitfalls to avoid, and understand what skills marketers need to thrive in an AI-driven future.

In the ever-evolving landscape of technology, leaders are now presented with a unique opportunity to harness the power of artificial intelligence (AI) as a crucial tool in enhancing organizational efficiency and decision-making. While the traditional view of leadership focuses strongly on human interaction and decision-making, integrating AI into leadership practices is becoming increasingly vital. This episode delves into the role of AI in leadership, emphasizing its potential to facilitate better performance, provide unbiased insights, and improve work-life balance through time-saving efficiencies. Leaders must now consider AI not as a replacement, but as an enhancement to their inherent skills, empowering teams to achieve more while maintaining a human touch. Timestamped Overview [00:04:21] Introduction to AI in Leadership: Understanding where AI fits in the leadership landscape.[00:05:00] Leaders Motivating Teams to Use AI: Ajay discusses encouraging teams to adopt AI for better performance.[00:06:08] The Sixth Sense of Information: AI's evolution from data organization to decision-making assistance.[00:07:07] AI as a Middle Management Tool: How AI can provide unbiased feedback and improve management.[00:09:39] Transitioning to AI Adoption: Exploring challenges leaders face in implementing AI tools.[00:10:24] The Reality of AI in the Workforce: Discussing why AI has not yet been fully adopted by leaders.[00:11:24] Democratizing AI for Greater Accessibility: Ajay highlights the need for widespread AI understanding.[00:14:46] AI in Everyday Tools: Examples from ChatGPT to ScottBot, illustrating AI's role.[00:16:24] Navigating Resistance from Superiors: Strategies for convincing skeptical leaders about AI's value.[00:24:43] Managing Concerns of Job Redundancy: Addressing fears that AI will lead to job cuts.[00:30:26] Encouraging Teams to Embrace AI: How leaders can align AI use with team growth.[00:37:00] Resources for Learning AI: Ajay offers invaluable tips for those looking to upskill in AI. For the complete show notes be sure to check out our website: https://leaddontboss.com/332

AI democratization sounds great in theory, but why do so many enterprises struggle to make it work? In this episode, Ari Kaplan, Head of Tech Evangelism at Databricks, breaks down the biggest roadblocks to scaling AI—and what's needed to overcome them. From data intelligence and synthetic data to why leading enterprises rely on unified data and analytics Platforms to cut costs, reduce governance complexity, and streamline AI adoption—we explore how organizations can move beyond AI pilot purgatory and use AI to drive tangible impact at scale.Ari dives into the hard truths about AI implementation, including why companies still face governance hurdles, siloed data, and inefficient infrastructure. Ari and I discuss how organizations can get more value from their data, deploy AI responsibly, and use synthetic data to scale securely.Plus, Ari shares his personal approach to balancing a global career, thought leadership, and content creation—including how he manages to make time for writing books while advising enterprises worldwide. We also discuss his take on social media strategy, the skills he's encouraging his kids to develop for an AI-driven world, and the future of work in an era of intelligent automation.If you care about AI democratization, enterprise AI strategy, and staying ahead of the curve, this is an episode you won't want to miss!

Discover how SmythOS empowers users with 300,000+ integrations, no-code solutions, and innovative tools to eliminate technical gaps and make AI accessible to everyone.Key topics include:[00:01:00] The rise of SmythOS as an AI operating system.[00:02:00] Democratizing AI for businesses without coding expertise.[00:05:00] Challenges of marketing AI solutions in a crowded market.[00:12:00] Insights into successful partner and reseller strategies.[00:19:00] AI's potential for reshaping industries and empowering creativity.Michael shares the inspiring vision behind SmythOS and how it paves the way for a second renaissance in technology, art, and humanity. Don't miss this exciting conversation on the future of AI and its role in transforming industries.Learn more about SmythOS and their groundbreaking AI solutions at smythos.com. Connect with Michael Walker on LinkedIn for more insights on AI's transformative potential. Connect with me on:All my linksBecome a guestSign up for RiversideGet Descript #DigitalMarketing #Branding #PersonalBranding #MarketingInsights #SocialMediaStrategy

This is the Engineering Culture Podcast, from the people behind InfoQ.com and the QCon conferences. In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Maria Apazoglou, Head of AI, BI & Data Platforms at Thomson Reuters, about as her experience in building great teams and democratizing the use of large language models across the organization. Read a transcript of this interview: https://bit.ly/4ikn34O Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: QCon London (April 7-9, 2025) Discover new ideas and insights from senior practitioners driving change and innovation in software development. https://qconlondon.com/ InfoQ Dev Summit Boston (June 9-10, 2025) Actionable insights on today's critical dev priorities. devsummit.infoq.com/conference/boston2025 InfoQ Dev Summit Munich (Save the date - October 2025) QCon San Francisco 2025 (17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ InfoQ Dev Summit New York (Save the date - December 2025) The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - Twitter: twitter.com/InfoQ - LinkedIn: www.linkedin.com/company/infoq - Facebook: bit.ly/2jmlyG8 - Instagram: @infoqdotcom - Youtube: www.youtube.com/infoq Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

In this episode, we explore how Replicate is breaking down barriers in AI development through its open-source platform. CEO Ben Firshman shares how Replicate enables developers—whether or not they have machine learning expertise—to integrate and deploy AI models.00:00 - Introduction and Background of Replicate01:14 - Replicate's Mission: Making AI Accessible for Developers04:13 - Scaling AI Tools for Engineers and Enterprises08:16 - Simplifying AI Deployment: The Replicate Approach11:28 - Types of AI Models and Emerging Use Cases19:01 - Customizing AI Models with Minimal Data26:33 - Learning AI: Advice for Developers and Engineers29:13 - Opportunities for AI in Government and Enterprise33:29 - Closing Thoughts on the Future of AI--------------------------------------------------------------------------------------------------------------------------------------------------Humanloop is an Integrated Development Environment for Large Language Models. It enables product teams to develop LLM-based applications that are reliable and scalable. To find out more go to humanloop.com

In this episode, we have an insightful discussion with Carol Chen from Red Hat at the All Things Open conference. Carol, who works in the Open Source Program Office at Red Hat, shares her experiences and insights on her ongoing project, InstructLab, a collaboration with IBM aimed at applying open source methods to building and training large language models. The conversation covers the importance of democratizing AI, reducing the fear and misconceptions surrounding AI technology, and making AI tools and concepts more accessible and understandable for everyone, including those who are not tech-savvy. Carol also discusses the social responsibility associated with AI development, emphasizing the need for transparency and community collaboration.   00:00 Introduction and Welcome 00:17 Carol's Background and Role at Red Hat 01:00 AI and Open Source 03:13 Challenges and Opportunities in AI 06:43 InstructLab: Making AI Accessible 12:09 Personal Journey into AI 15:37 AI Ethics and Open Source Guest: Carol Chen is a Community Architect at Red Hat, supporting and promoting various upstream communities such as InstructLab, Ansible and ManageIQ. She has been actively involved in open source communities while working for Jolla and Nokia previously. In addition, she also has experiences in software development/integration in her 12 years in the mobile industry. Carol has spoken at events around the world, including DevConf.CZ in Czech Republic and OpenInfra Summit in China. On a personal note, Carol plays the Timpani in an orchestra in Tampere, Finland, where she now calls home.  

Jeff Boudier, Head of Product and Growth at Hugging Face, discusses the evolving landscape of AI and the role open-source development plays in its transformation. We also explore the challenges and opportunities that organizations encounter when embracing AI, especially with open-source solutions. Key Takeaways:  Why it's important to democratize AI and adopt open source development (and how Hugging Face is making it easier to do so) Ways Hugging Face is collaborating with academic institutions worldwide through projects like Big Science and Big Code Essential leadership qualities for managing AI projects, and the ethical dilemmas that come with responsible AI practices Guest Bio: Jeff Boudier is the Head of Product and Growth at Hugging Face, the #1 open platform for AI builders. Previously Jeff was a co-founder of Stupeflix, acquired by GoPro, where he served as Director of Product Management, Product Marketing, Business Development, and Corporate Development. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte  

In this episode of the LinkedIn Presents: Redefining Work podcast, host Lars Schmidt sits down with Ruben Harris, co-founder and CEO of Career Karma, to discuss the launch of OutRival, a no-code platform that democratizes access to AI across the enterprise. Ruben shares how OutRival empowers non-engineering teams to build AI-driven agents and solutions without technical expertise, reshaping how companies engage with customers and employees. They dive into the future of work, AI's role in personalization, and how OutRival is transforming workforce development for industries beyond tech.

Join us in this episode as we dive deep into the future of AI with Alexander De Ridder, co-founder and CEO of SmythOS. Alexander talks about the power of no-code agents and how they are revolutionizing the way businesses interact with AI. We discuss the concept of composable AI, the challenges of building AI models that integrate seamlessly into existing workflows, and the benefits of AI democratization for businesses of all sizes. Discover how SmythOS is breaking down barriers, making AI more accessible, and paving the way for a future where anyone can leverage the power of artificial intelligence to optimize their operations. Disclaimer: Not advice. Educational purposes only. Not an endorsement for or against. Results not vetted. Views of the guests do not represent those of the host or show. Do your due diligence. Click here to join PodMatch (the "AirBNB" of Podcasting): https://www.joinpodmatch.com/drchrisloomdphd We couldn't do it without the support of our listeners. To help support the show: CashApp- https://cash.app/$drchrisloomdphd Venmo- https://account.venmo.com/u/Chris-Loo-4 Spotify- https://podcasters.spotify.com/pod/show/christopher-loo/support Buy Me a Coffee- https://www.buymeacoffee.com/chrisJx Click here to schedule a 1-on-1 private coaching call: https://www.drchrisloomdphd.com/book-online Click here to check out our e-courses and bookstore here: https://www.drchrisloomdphd.com/shop Click here to purchase my books on Amazon: https://amzn.to/2PaQn4p For audiobooks, visit: https://www.audible.com/author/Christopher-H-Loo-MD-PhD/B07WFKBG1F Follow our YouTube channel: https://www.youtube.com/chL1357 Follow us on Twitter: https://www.twitter.com/drchrisloomdphd Follow us on Instagram: https://www.instagram.com/thereal_drchrisloo Follow us on Threads: https://www.threads.net/@thereal_drchrisloo Follow us on TikTok: https://www.tiktok.com/@drchrisloomddphd Follow our Blog: https://www.drchrisloomdphd.com/blog Follow the podcast on Spotify: https://open.spotify.com/show/3NkM6US7cjsiAYTBjWGdx6?si=1da9d0a17be14d18 Subscribe to our Substack newsletter: https://substack.com/@drchrisloomdphd1 Subscribe to our Medium newsletter: https://medium.com/@drchrisloomdphd Subscribe to our email newsletter: ⁠https://financial-freedom-for-physicians.ck.page/b4622e816d⁠ Subscribe to our LinkedIn newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=6992935013231071233 Thank you to our advertisers on Spotify. Financial Freedom for Physicians, Copyright 2024 --- Support this podcast: https://podcasters.spotify.com/pod/show/christopher-loo/support

On this episode of The Lending Link, host Rich Alterman sits down with Agus Sudjianto, Senior Vice President of Risk and Technology at h2o.ai, for a candid conversation about the evolution of AI and machine learning in finance. Agus discusses his mission to make advanced AI tools, like generative AI, accessible to more people—especially in high-stakes sectors like finance. He breaks down why it's crucial for financial institutions to use machine learning models that are not only powerful but also transparent and easy to explain. With decades of experience, Agus reflects on the lessons he's learned from financial crises, including the 2008 crash and the COVID-19 pandemic, and how these experiences have shaped his approach to credit risk management. He also highlights the growing role of alternative data in smarter credit decisions and talks about the importance of rigorously testing AI models before they're put to use. Tune in for a compelling conversation on the future of AI in finance, the lessons learned from past crises, and how to prepare for the challenges ahead.

David Hanson, CEO of Hanson Robotics and creator of the humanoid robot Sofia, explores the intersection of artificial intelligence, ethics, and human potential. In this thought-provoking interview, Hanson discusses his vision for developing AI systems that embody the best aspects of humanity while pushing beyond our current limitations, aiming to achieve what he calls "super wisdom." YT version: https://youtu.be/LFCIEhlsozU MLST is sponsored by Brave: The Brave Search API covers over 20 billion webpages, built from scratch without Big Tech biases or the recent extortionate price hikes on search API access. Perfect for AI model training and retrieval augmentated generation. Try it now - get 2,000 free queries monthly at http://brave.com/api. The interview with David Hanson covers: The importance of incorporating biological drives and compassion into AI systems Hanson's concept of "existential pattern ethics" as a basis for AI morality The potential for AI to enhance human intelligence and wisdom Challenges in developing artificial general intelligence (AGI) The need to democratize AI technologies globally Potential future advancements in human-AI integration and their societal impacts Concerns about technological augmentation exacerbating inequality The role of ethics in guiding AI development and deployment Hanson advocates for creating AI systems that embody the best aspects of humanity while surpassing current human limitations, aiming for "super wisdom" rather than just artificial super intelligence. David Hanson: https://www.hansonrobotics.com/david-hanson/ https://www.youtube.com/watch?v=9u1O954cMmE TOC 1. Introduction and Background [00:00:00] 1.1. David Hanson's interdisciplinary background [0:01:49] 1.2. Introduction to Sofia, the realistic robot [0:03:27] 2. Human Cognition and AI [0:03:50] 2.1. Importance of social interaction in cognition [0:03:50] 2.2. Compassion as distinguishing factor [0:05:55] 2.3. AI augmenting human intelligence [0:09:54] 3. Developing Human-like AI [0:13:17] 3.1. Incorporating biological drives in AI [0:13:17] 3.2. Creating AI with agency [0:20:34] 3.3. Implementing flexible desires in AI [0:23:23] 4. Ethics and Morality in AI [0:27:53] 4.1. Enhancing humanity through AI [0:27:53] 4.2. Existential pattern ethics [0:30:14] 4.3. Expanding morality beyond restrictions [0:35:35] 5. Societal Impact of AI [0:38:07] 5.1. AI adoption and integration [0:38:07] 5.2. Democratizing AI technologies [0:38:32] 5.3. Human-AI integration and identity [0:43:37] 6. Future Considerations [0:50:03] 6.1. Technological augmentation and inequality [0:50:03] 6.2. Emerging technologies for mental health [0:50:32] 6.3. Corporate ethics in AI development [0:52:26] This was filmed at AGI-24

On this episode of the Six Five, Daniel Newman is joined by Groq's Mark Heaps, Chief Tech Evangelist, for a conversation on Groq's significant progress in the realm of AI acceleration. This discussion delves into Groq's successful Series D fundraising, strategic shifts, technological advances, and its mission to make AI more accessible. Their discussion covers: The pivotal role of AI accelerators and GPUs in the tech industry and Daniel's insights as an advisor and investor in Groq. Groq's announcement of their $640 million Series D fundraising success and its impact on the company's valuation. Groq's remarkable technological strides, including the development of a new chip in partnership with Samsung, transitioning from 14-nanometer to 4-nanometer technology. The significant strategic pivots Groq has undertaken, such as major acquisitions and a shift towards offering cloud solutions, aimed at enhancing their market position. Groq's effort to democratize AI by making their technology accessible and affordable, supporting open-source models, and providing free access to developers.  

In this episode, we chat with Lin Qiao, co-founder of Fireworks, about the innovative ways Fireworks is transforming AI infrastructure. Learn how Fireworks is making AI accessible, cost-effective, and efficient for developers, and explore the exciting future trends in AI technology.

Jason Howell and Jeff Jarvis talk with the creators of MindStudio.ai, a no-code AI development platform where enterprises and individuals can build custom AI solutions tailored to their needs.Please support this podcast on Patreon! http://www.patreon.com/aiinsideshowINTERVIEW TOPICS- Introducing guests Dmitry Shapiro (CEO) and Sean Thielen (CTO) of MindStudio, their backgrounds and how they met- The pivotal moment of ChatGPT's release and their vision for MindStudio as a model-agnostic, low-code/no-code platform for building AI applications- Overview of MindStudio's features: creating multi-step AI workflows, comparing models, calling APIs, uploading data, publishing apps for human or programmatic use- MindStudio's business model, pricing tiers, and monetization opportunities by selling created AI applications- Examples of how enterprises use MindStudio for automation (resume screening, sales, customer support), building custom AI assistants, and replacing old software with tailored AI applications- Addressing individual users, artists, and creators using MindStudio for creative projects, productivity, and efficiency- Handling model updates, switching between models, and MindStudio's model-agnostic approach- The value of empowering non-technical users to build AI solutions close to their work, avoiding one-size-fits-all tools Hosted on Acast. See acast.com/privacy for more information.

Timestamps: 7:13 - Democratizing AI  9:37 - You're right to be worried about AI 11:38 - The EU AI Regulation Act 20:13 - Expanding to the US 32:30 - How to enter a new market This episode was co-produced with Switzerland Global Enterprise. Click here to learn more about the SWISS Pavilion at Singapore Fintech Festival 2024, mentioned at the start of the episode. About Elena Maran & Angela di Rosa: Elena Maran is the Global Head Financial Services at Modulos AG, an ETH spin-off developing and operating AI products and services in a new regulated environment. She holds a MSc in Finance from Università Bocconi and previously worked at banks like  Lehman Brothers, Morgan Stanley and Citi Group before joining Modulos in 2022. Angela di Rosa is the Senior Consultant Southeast Asia and Fintech Internationalization Expert at Switzerland Global Enterprise, the official Swiss organization for export and investment promotion, which supports Swiss SMEs in their international business, and helps innovative foreign companies to establish in Switzerland.   Modulos offers a Responsible AI Platform that seamlessly integrates AI governance, risk management, and data science, ensuring that your organization remains compliant while innovating. Platforms like these have become increasingly relevant ever since the passing of the EU AI Regulation Act back in March 2024. This AI Act is the most comprehensive effort at regulating AI so far, and punishes failure to comply with its requirements with a fine of up to 7% of a company's annual turnover. Although Switzerland is not part of the EU, any Swiss company that deals with EU customers will be forced to comply with this new piece of legislation.  Don't forget to give us a follow on⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Linkedin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, so you can always stay up to date with our latest initiatives. That way, there's no excuse for missing out on live shows, weekly giveaways or founders' dinners.

Carole Offredo is the Chief Marketing Officer (CMO) at Dataiku, a leading end-to-end platform for everyday AI. With over eight years of experience in the tech industry, Carole is passionate about democratizing AI and empowering individuals to harness its potential. She has a strong belief in the power of collaboration and transparency, driving her to create impactful marketing strategies that align with Dataiku's vision of making AI accessible to everyone. In this episode, Carole shares why there is power in understanding AI. Belief in the Vision: Believing in the product and vision you're working for is crucial as it provides meaning and energy to drive you forward. Team Collaboration: Creating conditions for your team to work together and create memorable moments for customers and prospects is energizing and fosters success. Democratizing AI: Making AI accessible to everyone empowers individuals to automate tasks, innovate, and create more interesting work, leading to a more efficient and sustainable future. Truthful Marketing: Telling real customer stories without overselling builds trust and credibility, ensuring marketing efforts are authentic and impactful. Power of Collective Creation: Harnessing the diversity of thought, background, and experience in a team leads to more vibrant ideas, innovations, and successful outcomes. Delegation and Empowerment: Delegating tasks in an empowering way allows team members to grow, learn, and contribute to the collective vision, making the organization more scalable and sustainable. Long-Term Sustainability: Focusing on making people grow as individuals, as a team, and as an organization ensures the business is scalable, sustainable, and creates long-term value. Kindness as a Trait: Valuing kindness in a person fosters positive relationships, empathy, and a supportive work environment, leading to better collaboration and team dynamics. Resources Carole Offredo on LinkedIn | Dataiku

On this episode of the Futurum Tech Webcast, we are joined by Dell Technologies' Seamus Jones and Scalers AI's Steen Graham. Host, David Nicholson, Chief Research Officer at The Futurum Group, delves into a conversation on how these leaders are leveraging their expertise and organizational capabilities to democratize AI infrastructure. Their discussion covers: The current state and challenges of AI infrastructure Strategies for making AI accessible to a broader audience Innovative solutions from Dell Technologies and Scalers AI to support AI democratization The impact of democratized AI on various industries Future trends in AI infrastructure and democratization  

Thank you for joining us for another episode of the CU Lab. I'm Madeline Kronfeld with America's Credit Unions, and I'll be your moderator. Today, I am sitting down with Aoife May, Market Manager of Compliance Program Management for Wolters Kluwer, who is a trusted leader in compliance management. Today we're going to talk about Democratizing AI: Powerful Regulatory Compliance for Every Financial Institution. Join Wolters Kluwer expert Aoife May for an informative session to explore: the aspects of today's regulatory environment that are driving digital and AI adoption, expectations from regulators, and the increasing burdens put on compliance departments, what a credit union wants to understand when it comes to AI and regulatory compliance, expert augmented intelligence model, and if these offerings are feasible for any size credit union.   

In this conversation, Will sits down with Paras Jain, co-founder and CEO of Genmo. They dive into the frontier of AI video generation powered by diffusion models and his unconventional path from self-driving cars to rapidly scaling a lean startup to 1 million global users generating videos from text. Jain shares technical breakthroughs, counterintuitive challenges, the future of personalized AI video content, the implications of deepfakes, and the role of open-sourcing video generation AI. 

In today's discussion, Sascha and Arno delve into the transformative impact of AI on the business landscape, emphasizing its affordability, accessibility, and potential to level the playing field between large corporations and smaller businesses. The episode kicks off with a practical look at how SMEs can harness AI, featuring a curated list of nine ways AI can foster growth and improve efficiency within smaller enterprises. Key highlights from the episode include: Democratizing AI for Small Businesses: Exploring how technologies like GenAI and various low-code, no-code platforms make advanced tools accessible to all business sizes. Intelligent Automation: Discussing how AI can automate routine tasks, freeing up teams to focus on more strategic activities, thus enhancing productivity and customer experience. Practical Applications: The hosts provide real-world examples of how AI can be integrated into daily business operations, from customer service enhancements with chatbots to strategic decision-making support through data analysis. Link to Tesla Sales Call (powered by Air): https://youtu.be/2pDe7RzCezY  The #1 source of knowledge for all things process & automation: https://www.theautomationguys.net Do you have any questions? Would you like to give us feedback? Are you interested in workshops on the topic of automation? Are you an expert in the field and as passionate about process automation as we are, and would like to be on the podcast? Let us know: https://form.jotform.com/232751766067059 

Join host Craig Smith on episode #177 of Eye on AI as he explores the cutting-edge world of generative models in artificial intelligence with Björn Ommer, a visionary AI researcher and Head of Computer Vision & Learning Group at Ludwig Maximilian University of Munic.   In this episode, Björn delves into the fascinating inner workings of diffusion models, shedding light on the pivotal role these models play in advancing technology and society. Discover the groundbreaking development of stable diffusion, a key innovation by Bjorn's team that is setting new standards in the democratization of AI technology.   Learn about the challenges and solutions in making AI accessible on consumer hardware, ensuring that the power of generative AI is not confined to well-funded organizations but available to all. Bjorn shares his expert insights on the balance between open-source innovation and proprietary development, emphasizing the societal implications of generative AI.   This episode is an essential listen for anyone intrigued by the potential of AI to transform our understanding of the visual world, the importance of accessibility in technology, and the future of AI development.   If you're captivated by the evolution of AI and the profound impact of generative models like stable diffusion, don't forget to rate us on Apple Podcast and Spotify.  Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (01:38) Bjorn Omer's Journey into AI (03:03) The Evolution of AI Before Deep Learning (06:38) Democratizing AI with Stable Diffusion (09:45) Explaining Diffusion Models (13:40) Challenges of AI on Consumer Hardware (17:05) The Binding Problem in Vision Research (22:27) Mechanisms in Stable Diffusion: Attention and Diffusion Processes (26:09) Open Source vs. Proprietary AI Models (30:16) Making Compute Resources More Accessible (34:30) Reducing Compute Requirements in AI Models (38:52) The Concept of World Models in AI Research (41:50) The Future of AI and the Fallacy of Scaling

In this episode, Keith Singery, a prominent validator and thought leader in the Bittensor ecosystem sits down with Tommy and Michael to share his unique perspective on the project's mission to democratize AI and create a decentralized alternative to the centralized models dominating the field. They delve into the intricate dynamics of Bittensor, including the incentive mechanisms that fuel the network's miners and validators, the potential for a "Cambrian explosion" of specialized AI models, and the vision of a future where individuals can customize their own AI assistants tailored to their needs and values. Keith passionately argues for the necessity of decentralized AI as a counterweight to the increasing control of tech giants over our access to information and the shaping of our worldviews. Drawing parallels to the open-source software movement, he paints a compelling picture of a world where the intelligence landscape is shaped by the collective efforts of the many, rather than the dictates of the few. This wide-ranging conversation touches on fascinating topics such as the potential for AGI to emerge from decentralized networks, the role of crypto incentives in driving AI development, and the challenges of monetizing the Bittensor ecosystem. Whether you're a crypto enthusiast, an AI aficionado, or simply someone intrigued by the cutting edge of technology, this episode offers a thought-provoking glimpse into the future of decentralized intelligence. Key Links Bittensor: https://bittensor.com Keith's Podcast: https://bittensor.guru Socials Keith's Twitter Michael's Twitter Tommy's Twitter Follow Delphi Digital Website: ⁠⁠https://members.delphidigital.io/home⁠⁠ Twitter: ⁠⁠https://twitter.com/Delphi_Digital⁠⁠ Youtube: ⁠⁠https://www.youtube.com/@Delphi_Digital⁠ Disclosures Disclosures: This podcast is strictly informational and educational and is not investment advice or a solicitation to buy or sell any tokens or securities or to make any financial decisions. Do not trade or invest in any project, tokens, or securities based upon this podcast episode. The host and members at Delphi Ventures may personally own tokens or art that are mentioned on the podcast. Our current show features paid sponsorships which may be featured at the start, middle, and/or the end of the episode. These sponsorships are for informational purposes only and are not a solicitation to use any product, service or token. Delphi's transparency page can be viewed ⁠⁠here⁠⁠. Keywords Bittensor, Decentralized AI, Open-Source Models, Incentive Mechanisms, AGI, Democratizing AI, Crypto Incentives, AI Monetization, Keith Singery, BitTensor Validator, AI Ethics, Customizable AI Assistants, Michael Rinko, Tommy Shaughnessy, TAO, AI, ChatGPT, OpenAI, Crypto, $TAO, #TAO. --- Send in a voice message: https://podcasters.spotify.com/pod/show/the-delphi-podcast/message

Host(s):John Papa @John_PapaWard Bell @WardBellGuest:Lee Stott @lee_stottRecording date: Jan 25, 2024Brought to you byAG GridIdeaBladeResources:Lee Stott on LinkedInUniversity College of LondonLee Stott, Honorary Associate Professor in Teaching at UCLDemocritizing AIiPhone's decade worth of impactAI RevolutionWhat if AI Could Rebuild the Middle ClassWhat is the Rabbit R1 device?Rabbit r1 is an AI-powered sidekick that's like a future version of SiriBest practices for deploying language modelsSmall Language ModelsSemantic KernelLangChainSemantic Kernel CookbookEducator Developer BlogMicrosoft LearnMicrosoft Student ResourcesAzure AI StudioBaseCamp's “Shape Up” methodology for defining, choosing and “estimating” projectsTimejumps00:43 Introducing Lee Stott03:37 What does Democratizing AI really mean?10:44 Sponsor: Ag Grid11:48 When something is truly available to everyone, that's when you've democratized it20:05 Who is the target audience for AI in 2024?27:08 Sponsor: IdeaBlade28:06 What AI tools does Lee Stott think are worth checking out?35:24 Final thoughtsPodcast editing on this episode done by Chris Enns of Lemon Productions.

Highlights from this week's conversation include:Viren's background in data (0:39)Evolution of Orchestration (1:52)AI Orchestration (3:00)Understanding Conductor and orkes (6:26)Event-Driven Orchestration (8:10)Viren's Transition to Founder (12:27)Non-Technical Aspects of Being a Founder (15:50)Democratizing AI for Developers (18:16)The evolution of microservices orchestration (21:56)Challenges in appealing to the 99% developer group (24:32)Value of orchestration for developers (30:31)Role of orchestrators in managing faults (37:37)The intersection of AI and orchestration (40:27)Evolution of AI (44:04)Thriving in AI Environment (47:58)Final thoughts and takeaways (51:25)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Join us on "The AI Frontier Podcast" as we dive deep into the transformative journey of AI. From its early days as an exclusive domain to its current state of widespread accessibility, we explore the rise and impact of no-code and low-code platforms. Delve into the significance of user-friendly AI applications and navigate the ethical waters of this technological revolution. Together, we'll uncover challenges, celebrate milestones, and envision a future where the power of AI is harnessed by all.----------Resources used in this episode:Democratizing algorithmic news recommenders: how to materialize voice in a technologically saturated media ecosystem [Link].Mind the gap : enhancing the ethical regulation of low-code/no-code AI platforms. [Link].Designing a User-Centered Autotagging Demo Interface for Both Technical and Non-Technical Users [Link].A Review on Artificial Intelligence Tools [Link].Distributed, decentralized, and democratized artificial intelligence [Link].Regulating Deep Fakes: Legal and Ethical Considerations [Link].Ethical aspects of digital health from a justice point of view [Link].Support the Show.Keep AI insights flowing – become a supporter of the show!Click the link for details

FULL SHOW NOTES https://podcast.nz365guy.com/513 We are thrilled to have on board Ashish Bhatia, a principal product manager at Microsoft, who is on a mission to democratize AI solutions. Through a fascinating exchange, Ashish sheds light on his journey into the realm of AI and his focus on GPT-based capabilities within Power Automate. He articulates his vision for AI Builder, a tool that empowers low-code citizen makers to build intelligent applications, and how it has evolved over time.The conversation then delves into the intriguing world of AI, exploring how context, in the form of metadata and location information, can enhance precision and accuracy. We introduce the concept of RACS, a tool that aids in retrieving the right information and prompting the LLM to generate precise answers. Prompt engineering, a concept that reduces hallucination in AI models, also takes center stage in our discussion.But how does AI impact our careers and learning? We thrash out this question in detail, discussing how AI has become a critical part of many jobs, enhancing performance. We examine different ways of learning about AI, from using it as a writing assistant to critiquing work. And how can we overlook AI safety? It's a hot topic that we analyze in-depth, looking at the ethical implications of AI and its potential for both positive and negative outcomes. Join us in this captivating exploration of the AI landscape and how it's shaping our lives and careers.AgileXRM AgileXRm - The integrated BPM for Microsoft Power Platform 90 Day Mentoring Challenge 2024 https://ako.nz365guy.comSupport the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

Michael Morrissey: Democratizing AI Michael Morrissey is the visionary Founder & CEO of Next CoLabs. Next CoLabs is at the forefront of the AI revolution, guiding businesses through the AI landscape with innovative solutions, training, and a high level community with bespoke AI integration services for new workflows and revenue streams. Stay ahead of disruption by adding AI to your business with Next CoLabs. Welcome to the Conscious Millionaire Show for entrepreneurs, who want to achieve high sales and positively impact humanity! Join host, JV Crum III, as he goes inside the minds of conscious guests such as Millionaire Entrepreneurs and World-Class Business Experts. Like this Podcast? Get every episode delivered to you free!  Subscribe in iTunes Download Your Free Money-Making Gift Now... "Born to Make Millions" Hypnotic Audio - Click Here Now! Please help spread the word. Subscribing and leaving a review helps others find our podcast. Thanks so much! Inc Magazine "Top 13 Business Podcasts." Conscious Millionaire Network has over 3,800 episodes that have been heard by over 100 million in 190 countries.

Michael Morrissey: Democratizing AI Michael Morrissey is the visionary Founder & CEO of Next CoLabs. Next CoLabs is at the forefront of the AI revolution, guiding businesses through the AI landscape with innovative solutions, training, and a high level community with bespoke AI integration services for new workflows and revenue streams. Stay ahead of disruption by adding AI to your business with Next CoLabs. Welcome to the Conscious Millionaire Show for entrepreneurs, who want to achieve high sales and positively impact humanity! Join host, JV Crum III, as he goes inside the minds of conscious guests such as Millionaire Entrepreneurs and World-Class Business Experts. Like this Podcast? Get every episode delivered to you free!  Subscribe in iTunes Download Your Free Money-Making Gift Now... "Born to Make Millions" Hypnotic Audio - Click Here Now! Please help spread the word. Subscribing and leaving a review helps others find our podcast. Thanks so much! Inc Magazine "Top 13 Business Podcasts." Conscious Millionaire Network has over 3,800 episodes that have been heard by over 100 million in 190 countries.

The events of this year have highlighted important questions about the governance of artificial intelligence. For instance, what does it mean to democratize AI? And how should we balance benefits and dangers of open-sourcing powerful AI systems such as large language models? In this episode, I speak with Elizabeth Seger about her research on these questions. Patreon: patreon.com/axrpodcast Ko-fi: ko-fi.com/axrpodcast Topics we discuss, and timestamps: 0:00:40 - What kinds of AI? 0:01:30 - Democratizing AI 0:04:44 - How people talk about democratizing AI 0:09:34 - Is democratizing AI important? 0:13:31 - Links between types of democratization 0:22:43 - Democratizing profits from AI 0:27:06 - Democratizing AI governance 0:29:45 - Normative underpinnings of democratization 0:44:19 - Open-sourcing AI 0:50:47 - Risks from open-sourcing 0:56:07 - Should we make AI too dangerous to open source? 1:00:33 - Offense-defense balance 1:03:13 - KataGo as a case study 1:09:03 - Openness for interpretability research 1:15:47 - Effectiveness of substitutes for open sourcing 1:20:49 - Offense-defense balance, part 2 1:29:49 - Making open-sourcing safer? 1:40:37 - AI governance research 1:41:05 - The state of the field 1:43:33 - Open questions 1:49:58 - Distinctive governance issues of x-risk 1:53:04 - Technical research to help governance 1:55:23 - Following Elizabeth's research The transcript: https://axrp.net/episode/2023/11/26/episode-26-ai-governance-elizabeth-seger.html Links for Elizabeth: Personal website: elizabethseger.com Centre for the Governance of AI (AKA GovAI): governance.ai Main papers: Democratizing AI: Multiple Meanings, Goals, and Methods: arxiv.org/abs/2303.12642 Open-sourcing highly capable foundation models: an evaluation of risks, benefits, and alternative methods for pursuing open source objectives: papers.ssrn.com/sol3/papers.cfm?abstract_id=4596436 Other research we discuss: What Do We Mean When We Talk About "AI democratisation"? (blog post): governance.ai/post/what-do-we-mean-when-we-talk-about-ai-democratisation Democratic Inputs to AI (OpenAI): openai.com/blog/democratic-inputs-to-ai Collective Constitutional AI: Aligning a Language Model with Public Input (Anthropic): anthropic.com/index/collective-constitutional-ai-aligning-a-language-model-with-public-input Against "Democratizing AI": johanneshimmelreich.net/papers/against-democratizing-AI.pdf Adversarial Policies Beat Superhuman Go AIs: goattack.far.ai Structured access: an emerging paradigm for safe AI deployment: arxiv.org/abs/2201.05159 Universal and Transferable Adversarial Attacks on Aligned Language Models (aka Adversarial Suffixes): arxiv.org/abs/2307.15043

As AI development races forward, a fierce debate has emerged over open source AI models. So what does it mean to open-source AI? Are we opening Pandora's box of catastrophic risks? Or is open-sourcing AI the only way we can democratize its benefits and dilute the power of big tech? Correction: When discussing the large language model Bloom, Elizabeth said it functions in 26 different languages. Bloom is actually able to generate text in 46 natural languages and 13 programming languages - and more are in the works. RECOMMENDED MEDIA Open-Sourcing Highly Capable Foundation ModelsThis report, co-authored by Elizabeth Seger, attempts to clarify open-source terminology and to offer a thorough analysis of risks and benefits from open-sourcing AIBadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13BThis paper, co-authored by Jeffrey Ladish, demonstrates that it's possible to effectively undo the safety fine-tuning from Llama 2-Chat 13B with less than $200 while retaining its general capabilitiesCentre for the Governance of AISupports governments, technology companies, and other key institutions by producing relevant research and guidance around how to respond to the challenges posed by AIAI: Futures and Responsibility (AI:FAR)Aims to shape the long-term impacts of AI in ways that are safe and beneficial for humanityPalisade ResearchStudies the offensive capabilities of AI systems today to better understand the risk of losing control to AI systems forever RECOMMENDED YUA EPISODESA First Step Toward AI Regulation with Tom WheelerNo One is Immune to AI Harms with Dr. Joy BuolamwiniMustafa Suleyman Says We Need to Contain AI. How Do We Do It?The AI DilemmaYour Undivided Attention is produced by the Center for Humane Technology. Follow us on Twitter: @HumaneTech_

October 30, 2023: Drex DeFord, Executive Healthcare Strategist at CrowdStrike joins Bill for the news. A thoughtful consideration surfaces around democratized AI and the implications on efficiency and privacy. What does the rise of machine customers mean for future economic activities? How will this explosion of AI affect cyber threats and security management? Furthermore, we cover intriguing topics around Patch Tuesday, AI's impact on development and intelligent applications, and the concept of continuous threat exposure management. As we delve into this episode with DeFord, we invite listeners to grapple with these complex topics at the intersection of healthcare, cyber security and AI.Key Points:AIs Role RiseDemocratized AIAI Trust, Risk, and SecurityAI-Augmented DevelopmentIntelligent ApplicationsContinuous Threat ExposureNews articles:Microsoft announces new AI tools to help doctors deliver better careCould Middle Eastern Cyberwarfare Spill Into Health Sector?National Hospital Flash Report: August 2023Unlock the full potential of AI in Healthcare with experts David Baker, Lee Milligan, and Reid Stephan on Nov 2nd, 1 PM ET. Learn to navigate budget constraints and enhance operational efficiency in healthcare IT. Don't miss out on affordable, scalable AI solutions and practical tips for success. Register Here.This Week Health SubscribeThis Week Health TwitterThis Week Health LinkedinAlex's Lemonade Stand: Foundation for Childhood Cancer Donate

Tune in to this exciting episode as we dive into Intel's groundbreaking announcement of AI-powered PCs, a development that's set to democratize access to artificial intelligence for everyone. Explore the transformative potential of these cutting-edge devices and how they're making AI more accessible and user-friendly than ever before. Join us for an insightful discussion on the future of AI technology and its impact on everyday computing in this must-listen podcast. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: ⁠https://www.facebook.com/groups/739308654562189/⁠Follow me on Twitter: ⁠https://twitter.com/jaeden_ai⁠

As AI presents technical and engineering innovations, the systems present fundamental risks to people, their families, and their communities. Public participation in AI will not be easy. But there are foundational lessons to apply from other domains. Author and legal scholar Michele Gilman's latest policy brief, Democratizing AI: Principles for Meaningful Public Participation, builds on a comprehensive review of evidence from public participation efforts in anti-poverty programs and environmental policy that summarizes evidence-based recommendations for how to better structure public participation processes for AI. To discuss the policy brief, we invited Michele Gilman to be in conversation with Harini Suresh, Assistant Professor of Computer Science at Brown University, and Richard Wingfield, Director of Technology and Human Rights at BSR. This conversation was moderated by D&S Participatory Methods Researcher, Meg Young, and D&S Policy Director, Brian Chen.

In this podcast episode, host Ole Olesen-Bagneux welcomes Hala Nelson - an AI pioneer - Professor of Mathematics at James Madison University and the author of "Essential Math for AI" (O'Reilly). The two look at the immense power AI offers, from revolutionizing industries like healthcare and climate to introducing groundbreaking solutions in material design and more. With great power comes immense responsibility. Hala highlights the importance of checks and balances in the world of AI, warning against the concentration of this formidable tool in the hands of a few. Drawing on concrete examples, she stresses the pressing need for accurate data, emphasizing its fundamental role in the AI ecosystem. The episode concludes touching upon the often-overlooked human element, drawing attention to the immense power wielded by those behind these machines and the need for vigilant governance.

Tune in to this episode as we explore Intel's groundbreaking announcement of AI-powered PCs, a game-changing move that brings the power of artificial intelligence to the fingertips of everyone. Discover how these innovative devices are set to democratize AI and reshape the way we interact with technology. Gain insights into the future of computing and how Intel is paving the way for AI accessibility on a global scale. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: ⁠https://www.facebook.com/groups/739308654562189/⁠Follow me on Twitter: ⁠https://twitter.com/jaeden_ai⁠

Today, we're bringing you an episode of Arbiters of Truth, our series on the information ecosystem. And we're discussing the hot topic of the moment: artificial intelligence. There are a lot of less-than-informed takes out there about AI and whether it's going to kill us all—so we're glad to be able to share an interview that hopefully cuts through some of that noise.Janet Haven is the Executive Director of the nonprofit Data and Society and a member of the National Artificial Intelligence Advisory Committee, which provides guidance to the White House on AI issues. Lawfare Senior Editor Quinta Jurecic sat down alongside Matt Perault, Director of the Center on Technology and Policy at UNC-Chapel Hill, to talk through their questions about AI governance with Janet. They discussed how she evaluates the dangers and promises of artificial intelligence, how to weigh the different concerns posed by possible future existential risk to society posed by AI versus the immediate potential downsides of AI in our everyday lives, and what kind of regulation she'd like to see in this space. If you're interested in reading further, Janet mentions this paper from Data and Society on “Democratizing AI” in the course of the conversation. Hosted on Acast. See acast.com/privacy for more information.

Ahmed has been utilizing technology to help people and businesses since an early age. With over 20 years experience in AI, he's now helping democratize the power of artificial intelligence so everyone can extend their own capabilities through AI. In this episode, we discuss the potential of AI, using synthetic agents to augment and optimize your work, and the future of technology. We also discuss how having aligned digital agents will not only make us more productive, but give us the ability to focus on the most meaningful areas of life.Ahmed RezaAhmed Reza is the CEO and founder of Yobi, a company that simplifies customer relationship management for businesses.Links from the Show:LinkedIn: https://www.linkedin.com/in/ahmedreza/Books: Life 3.0, Faster Cures by Mike MilkenPhone: 667-220-7187 Yobi: https://yobi.app/ Twitter: https://twitter.com/AhmedRezaTInstagram: https://www.instagram.com/ahmedrezat/?hl=enYouTube: https://www.youtube.com/c/AhmedRezaMore by Kyle:Follow Prodity on Twitter and TikTokFollow Kyle on Twitter and TikTokSign up for the Prodity Newsletter for more updates.Kyle's writing on MediumProdity on MediumLike our podcast, consider Buying Us a Coffee or supporting us on Patreon

In this episode of Bonanza Growth, host Behrad Mirafshar engages in a captivating conversation with Jared Williams, a distinguished UX industry veteran who has transitioned into an AI specialist. Together, they traverse a diverse landscape of topics poised to reshape the realms of design, development, and business.Efficiency through AI takes center stage as Behrad and Jared explore how AI is becoming the catalyst for operational optimization. From automating repetitive tasks to streamlining workflows, AI promises to redefine efficiency across industries.The duo then delves into AI's profound Impact on Design and Development. You'll gain insight into how AI is revolutionizing these processes, making them more effective and responsive to ever-evolving market demands.The rapid acceleration of Go-to-Market Strategies is another focal point. AI's ability to dramatically reduce time to market is discussed in detail, highlighting its significance in today's fast-paced business ecosystem.Jared brings his extensive experience to the fore, elucidating AI's broader Business Impact. From data-driven decision-making to enhanced customer insights, AI is positioned as a strategic game-changer for businesses of all sizes.Democratizing AI emerges as a thought-provoking subject. Behrad and Jared contemplate the implications of making AI accessible to all, pondering its far-reaching consequences for industries and society at large.Agile Processes and the Role of Research are thoughtfully examined. The hosts emphasize the importance of research in agile development and address common misconceptions surrounding agile methodologies.The conversation pivots to the UX Design Field, where Behrad and Jared aim to debunk prevalent misunderstandings. They shed light on the work UX designers should be focusing on versus the tasks they often find themselves engaged in.The notion of designers adopting a Business Lens is a recurring theme. Jared underscores the importance of designers understanding the broader business context and aligning their efforts with strategic objectives.Lastly, the episode provides a forward-looking perspective on Career Strategy for Designers in 2024. Jared offers actionable insights into navigating the evolving design landscape, ensuring designers remain relevant and impactful.Tune in to this episode of Bonanza Growth to gain valuable insights into the intersection of AI, design, and business. Whether you're an industry veteran or a newcomer, this conversation promises to expand your horizons and equip you with the knowledge needed to thrive in the ever-changing landscape of design and innovation. Stay ahead of the curve - listen now!Find out more about Bonanza Studios here.Follow Bonanza Studios on LinkedIn here.Follow Jared Williams on LinkedIn here.

We're thrilled to have Andrew Rogoyski from the Surrey Institute for People-Centered AI join us for a deep and insightful conversation about the transformative power of AI. Andrew brings with him the weight of the University of Surrey's three decades of AI research and a potent vision for harnessing this technology for the betterment of human lives. We embark on a journey, examining a new project dedicated to training the next generation of AI PhDs, with a special focus on creating social benefits and accessibility. The conversation gets even more intriguing as we navigate the nuanced layers of AI, weighing its potential against the challenges it presents. Andrew helps us deconstruct the importance of keeping AI low-resource, democratizing access, and judiciously regulating its use. We delve into a fascinating exploration of how AI can be a game-changer for inclusive media, particularly for individuals with neurodiverse needs. From simplifying narratives and modifying information presentation to decluttering video content, the possibilities are endless. And finally, we mull over how AI could be the missing link that bridges different scientific disciplines, heralding a new era in academia.Support the showFollow axschat on social mediaTwitter:https://twitter.com/axschathttps://twitter.com/AkwyZhttps://twitter.com/neilmillikenhttps://twitter.com/debraruhLinkedInhttps://www.linkedin.com/in/antoniovieirasantos/ https://www.linkedin.com/company/axschat/Vimeohttps://vimeo.com/akwyz

In this episode, we dive deep into Databricks' recent acquisition of MosaicML, a staggering $1.3 billion transaction that aims to democratize AI and bring its services to, well... everyone? We'll explore their before and after messaging, the key elements of category strategy in play, and the role of AI in shaping today's software messaging landscape. We also delve into the challenges of positioning AI in an industry that's rapidly expanding and evolving, and worries over reverse differentiation. Join us as we discuss the potential fracturing of AI models and what this could mean for the future of AI in B2B SaaS as the potential looms for it to be incorporated into tech stacks worldwide. We speculate on Databricks' future strategies, including the buzz around a possible public offering to compete against OpenAI in the future. With plenty playing out in the AI space, join this squad of seasoned tech veterans, who are also curious about AI's explosive growth, and what it means for all of us. Get all that and more on this week's episode of The SaaS Brand Strategy Show. About DRMG: SaaS Brand Strategy (SBS) isn't about the colors you use, or the typeface you choose. It's about the category you design and the story you tell. DRMG exists to help SaaS businesses find their magic bullet, load it, and fire it into the market. The companies we work with come out the other side with differentiation, defined categories, and the messaging to back it up. They're organizationally aligned, inspired, and ready to tell a better story—and win. Own the brand that drives demand. With DRMG. Send us an email at: hi@drmg.co Learn more at: drmg.co

MLOps Coffee Sessions #163 with Yujian Tang, Democratizing AI co-hosted by Abi Aryan. // Abstract The popularity of ChatGPT has brought large language model (LLM) apps and their supporting technologies to the forefront. One of the supporting technologies is vector databases. Yujian shares how vector databases like Milvus are used in production and how they solve one of the biggest problems in LLM app building - data issues. They also discuss how Zilliz is democratizing vector databases through education, expanding access to technologies, and technical evangelism. // Bio Yujian Tang is a Developer Advocate at Zilliz. He has a background as a software engineer working on AutoML at Amazon. Yujian studied Computer Science, Statistics, and Neuroscience with research papers published to conferences including IEEE Big Data. He enjoys drinking bubble tea, spending time with family, and being near water. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Yujian on LinkedIn: https://www.linkedin.com/in/yujiantang Timestamps: [00:00] Yujian's preferred coffee [02:40] Takeaways [05:14] Please share this episode with your friends! [06:39] Vector databases trajectory [09:00] 2 start-up companies created by Yujian [09:39] Uninitiated Vector Databases [12:20] Vector Databases trade-off [14:16] Difficulties in training LLMs [23:30] Enterprise use cases [27:38] Process/rules not to use LLMs unless necessary [32:14] Setting up returns [33:13] When not to use Vector Databases [35:30] Elastic search [36:07] Generative AI apps common pitfalls [39:35] Knowing your data [41:50] Milvus [48:28] Actual Enterprise use cases [49:32] Horror stories [50:31] Data mesh [51:06] GPTCash [52:10] Shout out to the Seattle Community! [53:44] Wrap up

How do the large language models like GPT-3 and GPT-4 work? In what ways will they benefit us - and how can we help improving them? Korey Stegared-Pace works as Cloud Advocate at Microsoft in Stockholm, and part of his job is to educate and engage more people in software development, AI and machine learning. In this episode, we dive into the lastest AI development and what it might bring in the future. // Recorded at Kitchen Studio in Stockholm. // Podcast host: Christian von Essen // Editing: Disa Hagström //Check out our website for all our previous interviews in English! // The episode is sponsored by Futurice.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: 4 ways to think about democratizing AI [GovAI Linkpost], published by Akash on February 13, 2023 on The Effective Altruism Forum. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

OpenAI as a service is here! We discuss! Follow Us Frank: Twitter, Blog, GitHub James: Twitter, Blog, GitHub Merge Conflict: Twitter, Facebook, Website, Chat on Discord Music : Amethyst Seer - Citrine by Adventureface ⭐⭐ Review Us (https://itunes.apple.com/us/podcast/merge-conflict/id1133064277?mt=2&ls=1) ⭐⭐ Machine transcription available on http://mergeconflict.fm

Vamshi Ambati, Founder & CEO at Predera, joins host Jake Smith to discuss how Predera is working to democratize AI...[…]

Vamshi Ambati, Founder & CEO at Predera, joins host Jake Smith to discuss how Predera is working to democratize AI by making it truly accessible to everyone with companies able to manage AI and not just build it. He highlights how Predera's AIQ platform enables enterprises to drastically cut down the challenges they face today in building, deploying and managing machine learning models. The platform makes it very simple and easy to take models into production and then manage them into the future. Vamshi talks about how Predera's collaborated with Intel to optimize their workloads for Intel oneAPI AI Analytics Toolkits resulting in improvements in both training and inference. This has also enabled Predera and their customers to leverage CPUs for most workloads reducing the need to use expensive GPUs. Lastly, Jake and Vamshi discuss how algorithmic advancements and compute advancements will drive the future of machine learning allowing AI to be impactful in many new aspects of our lives. For more information, visit: https://predera.com/ Follow Jake on Twitter at: https://twitter.com/jakesmithintel

AT&T's chief data officer Andy Markus joins Deborah Yao to discuss how the telecom giant uses AI to manage petabytes of data across its global network and deliver key insights for business managers. He also talks about the rise of AT&T's citizen data scientists as enabling the democratization of AI across the company, which can boost business value by 5x or more – and reveals whether he thinks AI can ever be sentient.

Dr. Sameer Maskey is the Founder and CEO of Fusemachines, an AI Education and Services Company. He is also an Adjunct Associate Professor at Columbia University. He joins host Mike Palmer in a conversation about his mission to democratize AI by making high-quality AI education affordable and accessible to everyone. We begin by hearing Sameer's origin story, beginning in Nepal before studying engineering and AI in the States. He joined the IBM Watson team before founding Fusemachines in 2013. Sameer shares what it's been like leading an AI company through transformative times. He shares his takes on how to build strong foundations to become an AI developer and learn where he sees the most promise in the application of machine learning and AI in the coming years. It's an insightful conversation with an expert in a critical emerging skill space that you won't want to miss. Subscribe to Trending in Education wherever you get your podcasts. Visit us at TrendinginEd.com for more sharp takes on what's new and emerging in the world of learning.

AI Dynamics is seeking to make AI accessible. Though its NeoPulse platform can be used across industries, the life sciences is one of the key markets the company is targeting with its technology being used to do everything from target identification for drug development to diagnosing and triaging TB patients by the sounds of their cough. We spoke to Rajeev Dutt, CEO and president of AI Dynamics, about the company's core AI technology, how it seeks to make AI accessible, and why he believes it can transform drug development and healthcare by moving the needle on costs.

Aashima Gupta was a rising star in the financial technology world at organizations including Fidelity Investments and JPMorgan Chase, but after her father passed away suddenly due to health reasons, she turned her technical talents towards improving healthcare. After five years in leading technical roles at Kaiser Permante and two years leading healthcare strategy at the API and analytics company Apigee, she became director of global healthcare solutions at Google Cloud through its acquisition of Apigee. While historically big tech has had little insight into what is happening on the ground within vertical markets – including healthcare – that paradigm is shifting. As part of this evolution, cloud infrastructure companies are tailoring solutions to meet specific needs and advance digital transformation within industries like healthcare. This is the crux of Aashima's role at Google Cloud where she focuses on applying Google Cloud technology, machine learning, artificial intelligence, mobile and APIs to help companies in the healthcare ecosystem identify new care models, improve patient experiences, generate new revenue streams and securely share data.In this episode of Healthcare is Hard, Aashima talks to Keith Figlioli about her journey from Fintech to Digital Health and shares insight into Google's strategy to transform healthcare. Topics they discuss include:The pace of innovation in digital health. Aashima recounts her transition to healthcare and the biggest differences with the pace of innovation. She had often dealt with mission critical systems in past roles at some of the world's largest financial services organizations, but recognized quickly after moving to Kaiser Permanente that she was now dealing with life critical systems. She talks about the shifts in culture and mindset that a career in healthcare technology requires.Google's most recent healthcare news. Google's core mission is to democratize access to information, and its recent announcements about integrating features for scheduling medical appointments directly into search results shows how that mission extends to healthcare. These new features aim to address one of the most significant barriers to getting care: the ability to find an appointment. Aashima discusses how these new developments fit into Google's larger vision for healthcare innovation and the company's ongoing efforts to expand partnerships with third parties.Democratizing AI in healthcare. As a platform that fills a critical infrastructure role for organizations across the healthcare ecosystem – from payers and providers, to life science companies, tech vendors and more – Google Cloud places an intense focus on empowering these companies through advanced technologies like AI. With years of experience building, deploying and maintaining machine learning for its own use and incorporating that institutional knowledge into its cloud platform, Google is helping to democratize AI and accelerate healthcare innovation. As an example, Aashima points to customers that can train AI models using 80% fewer lines of code than they would need otherwise.Responsible use of AI. Google recognizes the power of AI and the equally powerful questions it raises about using it responsibly – especially in healthcare. Aashima shares how Alphabet CEO, Sundar Pichai, has been directly involved with the company's principles for responsible AI innovation. She talks about how the company uses tools like “model cards,” which describe AI algorithms in a similar way to nutrition labels on food packaging, and how it's pushing for these to play a foundational role in the future of AI.To hear Aashima and Keith talk about these topics and more, listen to the full episode of Healthcare is Hard: A Podcast for Insiders.  

Dean Ayanna Howard, an artificial intelligence expert in her own right, discusses AI with the leaders of two NSF AI Institutes, Ohio State Engineering Professors DK Panda and Ness Shroff. They share their definitions of AI, outline the problems each AI Institute aims to solve, and explain what “democratizing” AI means. (Note: Dean Howard and… Continue reading Ep. 5: Democratizing AI

In this episode, Seth and Chris talk with Paul Zhao about making AI more accessible for everyone.Highlights:5:00 on being a tech entrepreneur30:00 after the buy out challenges - what now?39:00 advice to the non-technical on gaining business value with AI/ML50:00 on build vs buy Contact Paul:https://www.linkedin.com/in/ppzhao/Thanks to our sponsors:Earley Information ScienceCMSWireMarketing AI Institute

In this podcast, we explore how companies can deploy computer vision with their existing staff—no expensive hiring or extensive training required. We explain how to democratize AI so non-experts can use it, the possibilities that come from making AI more accessible, and unexpected ways AI transforms a range of industries. Join us as we explore these ideas with: Elizabeth Spears, Co-Founder and Chief Product Officer of Plainsight, Bridget Martin, Director of Industrial AI & Analytics of the Internet of Things Group at Intel® Kenton Williston, Editor-in-Chief for insight.tech Elizabeth and Bridget answer our questions about: Why Plainsight rebranded from their original company of Sixgill The rapid evolution of AI and computer vision The exciting use cases coming from advancements of AI How democratizing AI is helping transform unlikely industries The biggest challenges industries face when adopting AI Ways that organizations without data scientists can take advantage of advancements in AI The benefits of democratizing AI The future of new opportunities for AI Best places to get started to learn about AI Related Content To learn more about the future of democratizing AI, read Build ML Models with a No-Code Platform. For the latest innovations from Plainsight, follow them on Twitter at @PlainsightAI and on LinkedIn at Plainsight.

41. Solutions to Address AI's Potential Negative Impacts Extract from Chapter 11 "Democratizing AI to Help Shape a Beneficial Human-centric Future" in "Democratizing Artificial Intelligence to Benefit Everyone: Shaping a Better Future in the Smart Technology Era" - authored and narrated by Dr Jacques Ludik https://jacquesludik.com See https://jacquesludik.com/books-2/ for details about the book. The Kindle and Paperback versions of the book Democratizing Artificial Intelligence to Benefit Everyone has recently been updated and can currently be obtained via the following Amazon marketplaces: United States, United Kingdom, Canada, Germany, France, Spain, Italy, The Netherlands, Japan, Brazil, Mexico, Australia, and India. https://www.amazon.com/Democratizing-Artificial-Intelligence-Benefit-Everyone-ebook/dp/B08ZYW9487/ Audiobook available on many audiobook marketplaces world-wide such as: Audible, Apple Books, Audiobooks.com, Google Play, SCRIBD, Libro.fm, Downpour, Nook, Kobo, Chirp Books, AudiobooksNZ, MLOL https://www.audible.com/pd/Democratizing-Artificial-Intelligence-to-Benefit-Everyone-Audiobook/B09LNL4JHC Video: https://youtu.be/yqSDTE2qRes YouTube channel: https://www.youtube.com/channel/UCRdG_cB69R0tzRRdURTg5jw Podcasts: https://jacquesludik.com/podcasts/ Spotify: https://open.spotify.com/show/1mozteqpuyVqu2RdanLEHU Website: https://jacquesludik.com  

42. Democratizing AI is a Multi-Faceted Problem Extract from Chapter 11 "Democratizing AI to Help Shape a Beneficial Human-centric Future" in "Democratizing Artificial Intelligence to Benefit Everyone: Shaping a Better Future in the Smart Technology Era" - authored and narrated by Dr Jacques Ludik https://jacquesludik.com See https://jacquesludik.com/books-2/ for details about the book. The Kindle and Paperback versions of the book Democratizing Artificial Intelligence to Benefit Everyone has recently been updated and can currently be obtained via the following Amazon marketplaces: United States, United Kingdom, Canada, Germany, France, Spain, Italy, The Netherlands, Japan, Brazil, Mexico, Australia, and India. https://www.amazon.com/Democratizing-Artificial-Intelligence-Benefit-Everyone-ebook/dp/B08ZYW9487/ Audiobook available on many audiobook marketplaces world-wide such as: Audible, Apple Books, Audiobooks.com, Google Play, SCRIBD, Libro.fm, Downpour, Nook, Kobo, Chirp Books, AudiobooksNZ, MLOL https://www.audible.com/pd/Democratizing-Artificial-Intelligence-to-Benefit-Everyone-Audiobook/B09LNL4JHC Video: https://youtu.be/13uzkaArqsc YouTube channel: https://www.youtube.com/channel/UCRdG_cB69R0tzRRdURTg5jw Podcasts: https://jacquesludik.com/podcasts/ Spotify: https://open.spotify.com/show/1mozteqpuyVqu2RdanLEHU Website: https://jacquesludik.com  

43. Framework for Strategic Planning to Shape a Beneficial Human-Centric Future Extract from Chapter 11 "Democratizing AI to Help Shape a Beneficial Human-centric Future" in "Democratizing Artificial Intelligence to Benefit Everyone: Shaping a Better Future in the Smart Technology Era" - authored and narrated by Dr Jacques Ludik https://jacquesludik.com See https://jacquesludik.com/books-2/ for details about the book. The Kindle and Paperback versions of the book Democratizing Artificial Intelligence to Benefit Everyone has recently been updated and can currently be obtained via the following Amazon marketplaces: United States, United Kingdom, Canada, Germany, France, Spain, Italy, The Netherlands, Japan, Brazil, Mexico, Australia, and India. https://www.amazon.com/Democratizing-Artificial-Intelligence-Benefit-Everyone-ebook/dp/B08ZYW9487/ Audiobook available on many audiobook marketplaces world-wide such as: Audible, Apple Books, Audiobooks.com, Google Play, SCRIBD, Libro.fm, Downpour, Nook, Kobo, Chirp Books, AudiobooksNZ, MLOL https://www.audible.com/pd/Democratizing-Artificial-Intelligence-to-Benefit-Everyone-Audiobook/B09LNL4JHC Video: https://youtu.be/KYl89gC2Tmw YouTube channel: https://www.youtube.com/channel/UCRdG_cB69R0tzRRdURTg5jw Podcasts: https://jacquesludik.com/podcasts/ Spotify: https://open.spotify.com/show/1mozteqpuyVqu2RdanLEHU Website: https://jacquesludik.com  

44. Designing AI for Social Good and Beneficial Outcomes Extract from Chapter 11 "Democratizing AI to Help Shape a Beneficial Human-centric Future" in "Democratizing Artificial Intelligence to Benefit Everyone: Shaping a Better Future in the Smart Technology Era" - authored and narrated by Dr Jacques Ludik https://jacquesludik.com See https://jacquesludik.com/books-2/ for details about the book. The Kindle and Paperback versions of the book Democratizing Artificial Intelligence to Benefit Everyone has recently been updated and can currently be obtained via the following Amazon marketplaces: United States, United Kingdom, Canada, Germany, France, Spain, Italy, The Netherlands, Japan, Brazil, Mexico, Australia, and India. https://www.amazon.com/Democratizing-Artificial-Intelligence-Benefit-Everyone-ebook/dp/B08ZYW9487/ Audiobook available on many audiobook marketplaces world-wide such as: Audible, Apple Books, Audiobooks.com, Google Play, SCRIBD, Libro.fm, Downpour, Nook, Kobo, Chirp Books, AudiobooksNZ, MLOL https://www.audible.com/pd/Democratizing-Artificial-Intelligence-to-Benefit-Everyone-Audiobook/B09LNL4JHC Video: https://youtu.be/EjfBJ1ONiSU YouTube channel: https://www.youtube.com/channel/UCRdG_cB69R0tzRRdURTg5jw Podcasts: https://jacquesludik.com/podcasts/ Spotify: https://open.spotify.com/show/1mozteqpuyVqu2RdanLEHU Website: https://jacquesludik.com  

45. Building Human-compatible, Ethical, Trustworthy and Beneficial AI Extract from Chapter 11 "Democratizing AI to Help Shape a Beneficial Human-centric Future" in "Democratizing Artificial Intelligence to Benefit Everyone: Shaping a Better Future in the Smart Technology Era" - authored and narrated by Dr Jacques Ludik https://jacquesludik.com See https://jacquesludik.com/books-2/ for details about the book. The Kindle and Paperback versions of the book Democratizing Artificial Intelligence to Benefit Everyone has recently been updated and can currently be obtained via the following Amazon marketplaces: United States, United Kingdom, Canada, Germany, France, Spain, Italy, The Netherlands, Japan, Brazil, Mexico, Australia, and India. https://www.amazon.com/Democratizing-Artificial-Intelligence-Benefit-Everyone-ebook/dp/B08ZYW9487/ Audiobook available on many audiobook marketplaces world-wide such as: Audible, Apple Books, Audiobooks.com, Google Play, SCRIBD, Libro.fm, Downpour, Nook, Kobo, Chirp Books, AudiobooksNZ, MLOL https://www.audible.com/pd/Democratizing-Artificial-Intelligence-to-Benefit-Everyone-Audiobook/B09LNL4JHC Video: https://youtu.be/8R8K1EBMfzE YouTube channel: https://www.youtube.com/channel/UCRdG_cB69R0tzRRdURTg5jw Podcasts: https://jacquesludik.com/podcasts/ Spotify: https://open.spotify.com/show/1mozteqpuyVqu2RdanLEHU Website: https://jacquesludik.com  

46. Addressing Bias and Discrimination in Artificial Intelligence Extract from Chapter 11 "Democratizing AI to Help Shape a Beneficial Human-centric Future" in "Democratizing Artificial Intelligence to Benefit Everyone: Shaping a Better Future in the Smart Technology Era" - authored and narrated by Dr Jacques Ludik https://jacquesludik.com See https://jacquesludik.com/books-2/ for details about the book. The Kindle and Paperback versions of the book Democratizing Artificial Intelligence to Benefit Everyone has recently been updated and can currently be obtained via the following Amazon marketplaces: United States, United Kingdom, Canada, Germany, France, Spain, Italy, The Netherlands, Japan, Brazil, Mexico, Australia, and India. https://www.amazon.com/Democratizing-Artificial-Intelligence-Benefit-Everyone-ebook/dp/B08ZYW9487/ Audiobook available on many audiobook marketplaces world-wide such as: Audible, Apple Books, Audiobooks.com, Google Play, SCRIBD, Libro.fm, Downpour, Nook, Kobo, Chirp Books, AudiobooksNZ, MLOL https://www.audible.com/pd/Democratizing-Artificial-Intelligence-to-Benefit-Everyone-Audiobook/B09LNL4JHC Video: https://youtu.be/ljEkl8WqyHg YouTube channel: https://www.youtube.com/channel/UCRdG_cB69R0tzRRdURTg5jw Podcasts: https://jacquesludik.com/podcasts/ Spotify: https://open.spotify.com/show/1mozteqpuyVqu2RdanLEHU Website: https://jacquesludik.com  

47. 21st Century Skills, Competencies, and Jobs for a Human-centric AI-driven Workplace Extract from Chapter 11 "Democratizing AI to Help Shape a Beneficial Human-centric Future" in "Democratizing Artificial Intelligence to Benefit Everyone: Shaping a Better Future in the Smart Technology Era" - authored and narrated by Dr Jacques Ludik https://jacquesludik.com See https://jacquesludik.com/books-2/ for details about the book. The Kindle and Paperback versions of the book Democratizing Artificial Intelligence to Benefit Everyone has recently been updated and can currently be obtained via the following Amazon marketplaces: United States, United Kingdom, Canada, Germany, France, Spain, Italy, The Netherlands, Japan, Brazil, Mexico, Australia, and India. https://www.amazon.com/Democratizing-Artificial-Intelligence-Benefit-Everyone-ebook/dp/B08ZYW9487/ Audiobook available on many audiobook marketplaces world-wide such as: Audible, Apple Books, Audiobooks.com, Google Play, SCRIBD, Libro.fm, Downpour, Nook, Kobo, Chirp Books, AudiobooksNZ, MLOL https://www.audible.com/pd/Democratizing-Artificial-Intelligence-to-Benefit-Everyone-Audiobook/B09LNL4JHC Video: https://youtu.be/Ofqv0VfxOFE YouTube channel: https://www.youtube.com/channel/UCRdG_cB69R0tzRRdURTg5jw Podcasts: https://jacquesludik.com/podcasts/ Spotify: https://open.spotify.com/show/1mozteqpuyVqu2RdanLEHU Website: https://jacquesludik.com  

How do the values being built into AI affect our public and private lives now and into the future? What is the importance of a global human rights framework in driving discussions around the democratization of AI? Join us this month on Justice Matters as host Sushma Raman talks with Dr. Annette Zimmermann, political philosopher at the University of York, and Technology and Human RIghts fellow at the Carr Center. They discuss many of the ideas in Dr. Zimmermann's forthcoming book, The Algorithmic is Political, where she argues that we should resist the view that AI is value neutral. In this conversation she lays out the scope and nature of algorithmic injustices, models for setting an agenda on regulating AI, and what it means to democratize AI in a climate rife with misinformation.

AI is for everyone. You may not feel like you can total understand the AI world but Gianluca Mauro is here to help! He believes that AI should be accessible to all not just those in the tech world. Gianluca has a vast knowledge of AI and has even founded the AI Academy. (Check the website out below!) Gianluca Mauro is the author of “Zero to AI”. His mission is to make Artificial Intelligence more democratic, enabling people without a tech background to understand it and use it in their profession. He has taught AI to hundreds of people, ranging from high school students to executives at large multinational corporations. Article Reference: https://medium.com/startup-grind/i-reverse-engineered-a-500m-artificial-intelligence-company-in-one-week-heres-the-full-story-d067cef99e1c Connect with Gianluca: LinkedIn: https://www.linkedin.com/in/gianlucamauro/?i=emailsignature Instagram: https://www.instagram.com/gianluca.mauro/?i=email_signature Blog: https://blog.gianlucamauro.com/?utm_source=emailsignature&utm_medium=email&utm_campaign=emails Website: www.ai-academy.com Link to Class: https://school.ai-academy.com/ai4humans Learn more about our mission and become a member here: https://www.womenindata.org/ --- Support this podcast: https://anchor.fm/women-in-data/support

Artificial Intelligence: Opening Pandora's box on #Ethics! Dr Jacques Ludik (jacquesludik.com) participated in this #IITPSA Webinar with Johan Steyn and Renée Cummings on 28 October 2021. Video: https://youtu.be/Z34WUfPgBCo   In this #IITPSA webinar we discuss the important issues and considerations around the smart technology era. Hosted by Johan Steyn - AI & robotics special interest group chair with the IITPSA, we will be joined by Renée Cummings (from New York), a criminal psychologist and AI ethicist, along with Dr Jacques Ludik, Founder & CEO, Cortex Logic & Cortex Group; Founder & President: Machine Intelligence Institute of Africa (MIIA) and author of Democratizing AI to Benefit Everyone.   Jacques Ludik Podcast: https://jacquesludik.com/podcasts/ Jacques Ludik's new MAIN YouTube Channel: https://lnkd.in/dGgkec_k Jacques Ludik's new CLIPS YouTube Channel: https://lnkd.in/dhNF7F2i Machine Intelligence Institute of Africa | MIIA, Cortex Logic, Cortex Group, Vive Teens, sapiens.network viveyou.com journeywellness.co.za cortexlogic.com cortexgroup.ai miiafrica.org  

Dr Jacques Ludik on Business Day TV - WATCH Democratizing AI Video: https://youtu.be/_oaR8e7qoFM  Thinking Ahead Solutions During the pandemic we have heard so much about the enormous promises of technology – and these promises are certainly real. During a discussion Michael Avery had with Vodacom CEO Shameel Joosub, he revealed that, using AI and machine learning, the mobile operator could tell your credit risk based on what time you woke up and started using your phone in the morning. But the technology might also alter human society and the very meaning of human life in ways we don't spend enough time thinking about. As Youval Harari points out these range from the creation of a global useless class to the rise of data colonialism and of digital dictatorships. Avery sat down with Dr Jacques Ludik, the founder and CEO of Cortex Logic, the Machine Intelligence Institute of Africa and author of Democratizing Artificial Intelligence to benefit everyone & Johan Steyn, Chair of The Institute of Information Technology Professionals South Africa Special Interest Group on Artificial Intelligence and Robotics, to talk about the promise, challenge and democratisation of AI. jacquesludik.com cortexlogic.com cortexgroup.ai viveyou.com journeywellness.co.za Machine Intelligence Institute of Africa (MIIA) - miiafrica.org sapiens.network

Artificial Intelligence interview with Dr Jacques Ludik - Democratizing AI to Benefit Everyone Machine Learning Africa interview with Dr Jacques Ludik about his recent book "Democratizing Artificial Intelligence to Benefit Everyone" Conversations with AI Leaders in Africa - mlafrica.com Hosts: Zenzele Ndlovu and Johan Steyn Video: https://youtu.be/mk9tr0qq1D4  https://jacquesludik.com/ https://sapiens.network/ https://cortexlogic.com/ https://miiafrica.org/

Building AI models is still a VIP fiesta that is only reserved for somewhere between 0.002% and 0.02% of the global population looking at how many data scientists are out there. What if everyone could build a machine learning model to solve their personal and/or business problem with NO code at all? That's already happening, my friend, and Peltarion is one of the pioneers enabling this revolution!✊ Korey Stegared-Pace, an AI Developer Advocate at Peltarion, is sharing his amazing insights about this data riot and it looks like opportunities are endless. With us all using AI on a daily basis without even knowing it, isn't it democratized already? What will the world look like when just as many people build AI models through platforms like Peltarion as building web pages through WordPress? And are Data Scientists going to disappear?! Resources:

Topics in this wide-ranging conversation include: Tristan's background with Cloudera and the need for continual operational ML and AI (3:15)How the complexity of Continual is hidden behind a simplicity of use (14:48)Focusing on data that lives within a data warehouse (18:43)Understanding features in the ML conversation (22:47)The three layers of Continual (26:11)The importance of SQL to Continual (30:19)Caching layers and the data warehouse centric approach (38:28)Betting on the warehouse being a central component of data stack architecture (43:34)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Noelle Silver is a technical evangelist at heart and enjoys spreading the good news about what it’s like to work in the field of emerging technology.  She is passionate about Mindful Leadership, work-life harmony and empowering people to achieve their potential through technology. She empowers and inspires minorities to be successful in the technology industry and AI through career coaching and workshops. She also specializes in helping brands develop skills for Amazon Alexa. She has spent many years as a trainer, architect, and evangelist for IBM, RedHat, EMC, Amazon and Microsoft. She is now the VP of Digital Technology at NPR.  She has taught thousands of people the value and importance of voice technology, Democratizing AI, and mindful leadership and has delivered keynotes, workshops and conferences around the world.

NSCAI staff member David Kumashiro and former member Courtney Barno talk about leadership and synchronization of the warfighter and enabling bottom-up AI innovation. Other discussion topics include the Role of JAIC, AI delivery teams, AI experimentation, and wargaming. 

NSCAI staff David Kumashiro and Courtney Barno talked about the commission’s recommendations on democratizing AI for the warfighter and enabling bottom-up AI innovation.

Microsoft plays a large role in enterprise IT applications, from the desktop to the datacenter to the Azure cloud, and the company is active in the world of AI as well. But most of Microsoft's work has gone unnoticed, with high-profile cloud AI and ML applications at companies like Google and Uber getting all the press. In this episode, Steph Locke joins Chris Grundemann and Stephen Foskett to discuss the place of AI inside the Microsoft ecosystem. Microsoft has built AI into search and Cortana and has also produced an AI Builder and ML workspace in Azure that allows developers to produce their own chatbots, recognize images, and more. Steph also discusses the AI-related announcements at Microsoft Build last week. We finish up with a deep discussion of accessibility and diversity and potential solutions from hiring to training to awareness. Three Questions Can you think of an application for ML that has not yet been rolled out but will make a major impact in the future? Is it possible to create a truly unbiased AI? Will we ever see a Hollywood-style “artificial mind” like Mr. Data or other characters? Guests and Hosts Steph Locke, Data Scientist and CEO of Nightingale HQ. Connect with Steph on LinkedIn or on Twitter @TheStephLocke. Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 6/1/2021 Tags: @SFoskett, @ChrisGrundemann, @TheStephLocke, @NightingaleHQAI

During the pandemic we have heard so much about the enormous promises of technology – and these promises are certainly real. During a discussion Michael Avery had with Vodacom CEO Shameel Joosub, he revealed that, using AI and machine learning, the mobile operator could tell your credit risk based on what time you woke up and started using your phone in the morning. But the technology might also alter human society and the very meaning of human life in ways we don’t spend enough time thinking about. As Youval Harari points out these range from the creation of a global useless class to the rise of data colonialism and of digital dictatorships. Avery sat down with Dr Jacque Ludik, the founder and CEO of Cortex Logic, the Machine Intelligence Institute of Africa and author of Democratizing Artificial Intelligence to benefit everyone & Johan Steyn, Chair of The Institute of Information Technology Professionals South Africa Special Interest Group on Artificial Intelligence and Robotics, to talk about the promise, challenge and democratisation of AI.

What are current attitudes towards AI Ethics from within the tech industry? How can we make computer science a more inclusive discipline for women? What does it mean to democratize AI? Why should we? How can we? To answer these questions and more we welcome Dr. Anima Anandkumar to the show.  Anima holds dual positions in academia and industry. In academia - she is a professor in the Caltech Computing and Mathematical Sciences department. In Industry - she is the director of machine learning research at NVIDIA. At NVIDIA, she is leading the research group that develops next-generation AI algorithms. Anima is also the youngest named chair professor at Caltech, where she co-leads the AI4science initiative.   Full show notes for this episode can be found at Radicalai.org.    If you enjoy this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at twitter.com/radicalaipod

Pryon CEO Igor Jablokov talks artificial intelligence with Infinia ML's James Kotecki. --- EPISODE HIGHLIGHTS Humans can't grasp AI's full potential [6:37] Sci-fi predictions vs. business forecasting [9:56] Democratizing AI to reduce inequality [22:39] Accessible augmented intelligence through natural language [26:01] --- EMAIL THE SHOW mmw@infiniaml.com --- Video and transcript: https://medium.com/machine-meets-world/a-vision-for-democratized-ai-bbe0a427357f

Democratizing AI To Grow Your Business In A Challenging ClimateAbout Jerry:Jerry Abiog is a Co-Founder and CMO of Standard Insights - an AI as a Service growth marketing platform that enables businesses to execute data-driven omni-channel campaigns.This helps them target the right person with the right product/service, at the right time. We empower businesses to become competitive in a data-driven world with marketing precision.Typical results that our clients can see:• 5-20% improvement in sales• 10-25% increase in average order value• 10-15% reduction in customer churnPrior to co-founding Standard Insights, Jerry had a consultancy that helped SaaS companies with sales and marketing initiatives. Some of his clients had successful exits.One of his old clients was an AI start-up that failed miserably. He learned two things at that time: customers want an easy to use platform and that there was an explosive growth that was likely to occur with AI-powered business applications. Now, according to some estimates, the AI market is projected to grow to $390 billion by 2025.‘Success is stumbling from failure to failure with no loss of enthusiasm.' Winston ChurchillStandard Insights was born from lessons learned from past failures. Through serendipitous events, an AI-powered start-up was formed where the co-founders have strong experience in: digital marketing, sales, statistics, and computer science.Our mission – to be the global Standard on how successful businesses prioritize and execute their customer engagement from Insights gleaned from their data.Outside of work, Jerry is a fitness enthusiast. He participates in jiu-jitsu, boxing, running, swimming, and various other exercise activities that his ‘old-man' body can handle. Also, he likes spending time with his better half and their 3 dogs.Connect With Jerry: standardinsights.io

453: NVIDIA Director and Caltech Professor of AI Research Anima Anandkumar discusses the synergy of working in both academia and in the industry, from her previous positions at AWS and University of California, Irvine, to her current research at NVIDIA and Caltech. She shares how AI can accelerate scientific discovery with engineering capabilities, such as powerful GPUs, that continuously push AI forward at a very fast pace. We also discuss what is known as the Trinity of the deep-learning revolution: algorithms, data, and compute infrastructure. Anima shares insights on scaling, self-supervision techniques, embodied intelligence, and her thoughts on the future of AI. Finally, we end with a discussion of Anima's mission of globally democratizing and diversifying AI.