On this episode of the AI For All Podcast, Jean-Simon Venne, CTO and co-founder of BrainBox AI, joins Ryan Chacon and Neil Sahota to discuss the current state of enterprise AI adoption and self-operating AI buildings. They talk about how enterprises are viewing AI, using AI for energy optimization, the benefits of AI smart buildings, AI safety, the process for implementing AI in a building, overcoming fear of AI, the global impact of AI, and the exciting future of AI. Jean-Simon Venne is a co-founder and CTO of BrainBox AI. As a technology expert specializing in the fast and efficient migration of technological innovations to commercial applications, Jean-Simon has over 25 years of experience developing and implementing new technology to solve long-standing commercial issues in the fields of telecommunications, biotechnology, and energy efficiency. Prior to joining BrainBox AI, he was responsible for the successful integration of M2M technology in over 200 smart buildings across North America, Europe, and the Middle East. BrainBox AI uses deep learning, cloud-based computing, algorithms, and proprietary processes to support 24/7 self-operating buildings that require no human intervention and enable maximum energy efficiency. BrainBox AI enables a reduction in total energy costs of up to 25% in less than three months, with low to no CAPEX needed from property owners. It also improves occupant comfort by 60% and decreases the carbon footprint of a building by 20-40%. More about BrainBox AI: https://brainboxai.com (00:00) Intro (00:39) Jean-Simon Venne and BrainBox AI (01:10) Current state of enterprise AI adoption (03:09) How are enterprises viewing AI? (05:17) Asset management and optimization (06:58) Balancing the use of energy (08:33) AI in smart buildings and the benefits (11:46) How is AI helping reach sustainability goals? (13:54) Configuring an AI smart building (14:50) AI safety in smart buildings (16:34) Implementing AI in a building (18:22) How building data is handled (19:27) What needs to happen to increase adoption? (21:52) Overcoming fear of AI (25:38) Global impact of AI (29:48) What's exciting about AI (32:12) Learn more about BrainBox AI SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial

On this episode of the AI For All Podcast, Sateesh Seetharamiah, CEO of EdgeVerve, joins Ryan Chacon to discuss AI in industry 4.0 and digital transformation. They talk about the current state of digital transformation, what makes enterprises more agile, the value of enterprise data, implementing AI models in an organization, the challenges enterprises will experience with AI, and the future of AI and digital transformation. Sateesh Seetharamiah is the CEO of Edge Platforms, EdgeVerve Systems Limited (An Infosys Company), and a board member and Whole-time Director at EdgeVerve. Sateesh is an industry veteran with three decades o experience in entrepreneurship, management consulting, IT leadership, and supply chain. Sateesh believes in AI and Automation’s immense potential to transform future enterprises. Being a passionate technologist, Sateesh has been instrumental in establishing many foundational technology capabilities that drive today’s EdgeVerve strategy. Powered by native AI and automation capabilities, with security and scalability at the core, EdgeVerve's digital platforms help enterprises discover and automate processes, digitize and structure unstructured data, and unlock the power of the network by integrating enterprises. EdgeVerve drives digital transformation by delivering actionable intelligence and fulfilling their clients' vision of building a connected enterprise. More about EdgeVerve: https://www.edgeverve.com (00:00) Intro (00:19) Sateesh Seetharamiah and EdgeVerve (00:34) Current state of digital transformation (02:57) What makes a company more agile? (05:10) The value of data (09:05) What makes enterprise data useful? (12:57) Implementing AI models in an organization (18:42) What challenges will enterprises experience with AI? (22:13) Role of AI in industry 4.0 (25:26) AI in the future of digital transformation (27:48) Enterprises are already an AI (28:16) Learn more about EdgeVerve SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial

On this episode of the AI For All Podcast, Andrew Louder, Founder and CEO of Louder Co, joins Ryan Chacon and Neil Sahota to discuss how businesses and startups can leverage AI. They talk about buying an AI solution versus building your own, getting started with AI, managing expectations, dealing with reluctance internally in your organization, new revenue models, and the future of AI in the workplace. Andrew Louder is the Founder and CEO of Louder Co. He started Louder Co to make an impact on his clients and their communities. His company has helped generate over $400 million in profit gains for over 35 organizations across industries from construction to healthcare, all by leveraging AI to optimize their operations and improve productivity and efficiency. Louder Co is a boutique consultancy started in 2016 to help companies increase profits through artificial intelligence and better operations. More about Louder Co: https://www.louderco.com (00:00) Intro (00:42) Andrew Louder and Louder Co (00:55) Buying AI vs building your own AI (03:42) Getting started with AI (06:12) Managing expectations for AI (08:08) Dealing with reluctance about AI (11:31) Industries benefitting from AI (14:28) New revenue models enabled by AI (17:14) How startups can use AI (21:12) Effort needed to integrate AI (24:33) Future of AI in the workplace (26:45) Learn more about Louder Co SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial

On this episode of the AI For All Podcast, George Matus, Founder and CEO of Teal Drones, joins Ryan Chacon and Neil Sahota to discuss AI drones and AI in warfare. They talk about the history of drones, the current and potential applications of drones, drone swarms, the ethics of AI drones, drone depiction in popular culture, US-China relations, and the future of drones. Always passionate about flight, George Matus had his beginnings in remote control modeling. He became a test pilot for an RC manufacturer at age 12 and after building a number of custom drones in high school, George started Teal in 2015 to create a new era of flight. Since the company's inception eight years ago, George raised several rounds of venture capital funding, launched four products to market with American manufacturing, and continues to serve as CEO of the company after its acquisition by Red Cat Holdings. Teal’s current flagship product is designed to "Dominate the Night" and is being deployed at scale across government and commercial segments around the world. George is a Peter Thiel Fellow, Forbes 30 Under 30 member, has competed on the national television show BattleBots, and holds over a dozen granted patents. Teal Drones, Red Cat's largest subsidiary, is focused on rebuilding America's drone industrial base. The company's overall mission is to accelerate the adoption of drones around the world, and specifically for defense, to give warfighters superhuman capabilities. More about Teal Drones: https://tealdrones.com (00:00) Intro (00:35) George Matus and Teal Drones (01:09) History of drones (02:34) Different types of drones (03:44) Role of AI in drones (04:48) Military vs consumer drones (07:43) Why drones are getting so much attention (09:31) The value of AI drones (11:26) The holy grail of drones (13:15) Engineering challenges of AI drones (15:19) Potential of drones (16:57) Drone swarms (19:45) Ethics of AI drones (22:19) Western vs Eastern views on technology (23:26) Drones in popular culture (25:33) US-China relations (29:02) Future of drones (30:50) Enterprise use cases of drones (32:27) Learn more about Teal Drones Subscribe on YouTube: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial

On this episode of the AI For All Podcast, Adnan Masood, Chief AI Architect at UST, joins Ryan Chacon and Neil Sahota to discuss AI robots and the future of society. They talk about physical vs software robots, the limitations and challenges in robotics, how robots learn, business use cases for AI robots, AI ethics and bias, artificial general intelligence, and what the future of AI robots will be. Adnan Masood is an engineer, researcher, and forward-thinker who is passionate about developing innovative technologies. A thought leader, Dr. Masood’s expertise includes scalable enterprise architecture, machine learning, and cloud platforms, particularly Microsoft Azure and AWS. As a Microsoft MVP for Data Platforms, Adnan has extensive experience in developing secure, PCI-compliant fintech solutions, with publications around functional programming, machine learning, and application security. For more than 23 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people, and led by purpose, they partner with clients from design to operation. Through their nimble approach, they identify core challenges and craft disruptive solutions that bring their vision to life. With deep domain expertise and a future-proof philosophy, they embed innovation and agility into clients' organizations - delivering measurable value and lasting change across industries and around the world. With over 30,000 employees in 30+ countries, they build for boundless impact - touching billions of lives in the process. More about UST: https://www.ust.com More about Adnan: https://www.ust.com/boundless/adnan-masood-phd.html Key Questions and Topics from This Episode: (00:00) Intro (00:39) Adnan Masood and UST (00:50) What are AI robots? (02:31) Physical robots vs software robots (07:38) Capabilities and limitations of AI robots (10:04) How are businesses reacting to robots? (14:07) Use cases for AI robots (16:40) Ethics of AI robots (18:40) Are robots necessary for AGI? (22:13) How robots learn (24:50) Will robots replace humans? (28:26) Hybrid intelligence (30:25) Attitudes around robots (31:43) AI bias (36:06) What will the future of robots look like? (38:58) Learn more about Adnan and UST Subscribe on YouTube: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial

On this episode of the AI For All Podcast, Raghu Ravinutala, CEO and co-founder of Yellow.ai, joins Ryan Chacon and Neil Sahota to discuss enterprise LLMs and AI in customer support. They talk about the evolution of AI chatbots, the impact on jobs, updating AI systems, saving and increasing costs with AI customer support, industries leading the way, specialized LLMs, using AI for customer insights, and advice for enterprises deciding to adopt AI. Raghu Ravinutala is the CEO and co-founder of Yellow.ai, a global leader in Conversational AI that delivers autonomous, human-like experiences for customers and employees to accelerate enterprise growth. Since its inception, Raghu and his team have successfully expanded Yellow.ai’s presence across North America, Asia-Pacific, Europe, the Middle East, Africa, and Latin America, with 1100+ customers in 85+ countries. Headquartered in San Mateo, Yellow.ai is a global leader in Conversational AI, delivering autonomous experiences for customers and employees to accelerate enterprise growth. Powered by Dynamic AI agents, the company aims to provide human-like interactions that boost customer satisfaction and increase employee engagement at scale, through its no-code platform. More about Yellow.ai: https://yellow.ai Key Questions and Topics from This Episode: (00:00) Intro (00:34) Raghu Ravinutala and Yellow.ai (00:59) Evolution of AI chatbots (06:08) Increasing adoption of AI (08:57) How will AI chatbots impact jobs? (12:19) What makes companies adopt AI chatbots? (17:15) Updating AI systems (20:14) Profiting from AI customer support (22:05) Industries leading AI customer support adoption (25:59) Enterprise LLMs and specialized LLMs (29:51) Advantages of AI chatbots (31:38) Using AI for customer insights (35:11) Advice for enterprises deciding to adopt AI (39:12) Learn more about Yellow.ai Subscribe on YouTube: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial

On this episode of the AI For All Podcast, Zohar Dayan, SVP of Product at Vimeo, joins Ryan Chacon and Neil Sahota to discuss AI in video and the future of content creation. They talk about the history and evolution of AI in video, what videos AI is best for, the demand for video content, automating video creation, the Hollywood strikes, making video accessible to businesses, standing out in a world of AI-generated video, and tailoring video content to different audiences with AI. Zohar Dayan is head of Vimeo’s video creation and editing products – enabling the world’s leading companies to unlock the power of video for effective marketing and employee communication. He is also the CEO and founder of Wibbitz, the leading automated video creation company that empowers any team to produce professional short-form video, which was acquired by Vimeo in November of 2021. Wibbitz Studio powers video for leading brands including Verizon, Bloomberg, Hubspot, Conde Nast, and S&P Global. Dayan launched several startups at a young age and now has over 20 years of experience in product design and management. Dayan has spoken at SXSW, VivaTech, Mobile World Congress, the World News Media Congress, and European Newspaper Congress, and gave a TEDx talk on breaking old habits to inspire innovation. He was previously selected by Geektime as one of the “Top 5 Israeli Entrepreneurs” and the 40-under-40 list by TheMarker, Israel's leading financial magazine. Vimeo is the world’s most innovative video experience platform, enabling anyone to create high-quality video experiences to connect better and bring ideas to life. With a global community of nearly 300 million users, Vimeo empowers everyone — from creative storytellers to globally distributed teams at the world’s largest companies — with the ability to create interactive, video experiences. More about Vimeo: https://vimeo.com Vimeo's AI Tools: https://vimeo.com/campaigns/one-take-video Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (00:37) Intro to Zohar Dayan and Vimeo (00:49) AI in video and history of AI video (02:30) What type of video is AI best for? (05:17) Demand for high quality video content (08:52) Automating video creation (15:22) Hollywood strikes (16:33) Leveling the playing field also raises the bar (18:38) Standing out in a world of AI generated video (20:23) Tailoring video content with AI (21:56) Learn more about Vimeo and its AI tools Subscribe on YouTube: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial

On this episode of the AI For All Podcast, Jim Chappell, Global Head of Artificial Intelligence at AVEVA, joins Ryan Chacon and Neil Sahota to discuss industrial AI and scaling AI globally. They talk about AI policies and guidelines, how governments approach AI policy, AI copyright law, AI and blockchain, the impact of regulation on AI adoption, enterprise AI trends, combining AI with other emerging technology, industrial AI use cases, robots and the impact on jobs, figuring out how to use AI, generative design, and implementing AI on a global scale. Jim Chappell, Global Head of Artificial Intelligence at AVEVA, is a seasoned leader in industrial software with over 25 years of success growing and improving businesses by leveraging cutting-edge capabilities focusing on AI, Advanced Analytics, and IoT / Big Data. Prior to his current position at AVEVA, Jim led the Asset Performance Management (APM) suite of products and related engineering/analytics services for Schneider Electric. He was also a founding partner and managing officer of InStep Software, a global leader in industrial AI-driven Predictive Analytics and Big Data software, which was acquired by Schneider Electric in 2014. AVEVA is a global leader in industrial software, sparking ingenuity to drive responsible use of the world’s resources. The company’s secure industrial cloud platform and applications enable businesses to harness the power of their information and improve collaboration with customers, suppliers, and partners. More about AVEVA: https://www.aveva.com Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (00:42) Intro to Jim Chappell and AVEVA (00:59) AI policies and guidelines (04:04) How do governments approach AI policy? (06:33) AI copyright (09:12) AI and blockchain (11:17) Impact of regulation on AI adoption (13:30) Enterprise AI trends (17:18) Combining AI with other emerging technology (22:05) Industrial AI use cases (24:57) Robots and impact on jobs (31:30) Figuring out how to use AI (34:55) Generative design (40:05) AI on a global scale (43:29) Learn more about AVEVA Subscribe on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial

On this episode of the AI For All Podcast, Michelle Zhou, Co-Founder and CEO of Juji, joins Ryan Chacon and Neil Sahota to discuss cognitive AI. They talk about the benefits of cognitive AI, artificial empathy, robots vs chatbots, psychographics in AI, why enterprises should adopt cognitive AI, no-code AI, AI as an assistant, and the future of AI. Dr. Michelle Zhou is a co-founder and CEO of Juji. Prior to starting Juji, Michelle led the User Systems and Experience Research (USER) group at IBM Research – Almaden and then the IBM Watson Group. Michelle's expertise is in the interdisciplinary area of intelligent user interaction (IUI), including conversational AI systems and personality analytics. She is an inventor of the IBM Watson Personality Insights and has led the research and development of at least a dozen products in her areas of expertise. Michelle has published over 100 peer-reviewed, refereed scientific articles and 45+ patents. Michelle is the Editor-in-Chief of ACM Transactions on Interactive Intelligent Systems (TiiS) and an Associate Editor of ACM Transactions on Intelligent Systems and Technology (TIST). She received a PhD in Computer Science from Columbia University and is an ACM Distinguished Scientist. Juji is an AI company located in Silicon Valley, specializing in building cognitive conversational AI technologies and solutions that enable the creation and adoption of empathic and empathetic AI agents. Their goal is to democratize AI and enable every organization, with or without AI or IT resources, to rapidly generate, customize, and operate AI beings that help scale out their high-touch, high-stakes services with a human touch. More about Juji: https://juji.io/ Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (01:15) Intro to Michelle Zhou and Juji (01:48) What is cognitive AI? (03:00) Benefits of cognitive AI (05:03) Artificial empathy (16:28) Robots vs chatbots (19:26) Psychographics in AI (27:13) Why should enterprises adopt cognitive AI? (31:31) No-code AI (35:19) AI as an assistant (37:13) Future of AI Subscribe on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Twitter: https://twitter.com/_aiforall

On this episode of the AI For All Podcast, Frank Pica, Co-Founder and CEO of Native AI, joins Ryan Chacon and Neil Sahota to discuss AI and digital twins. They talk about AI in marketing, creating digital twins of customers, generative AI, bringing AI to your business, data and privacy, social media, the impact of ChatGPT, and the future of AI and digital twins. Frank Pica is the Co-Founder and CEO of Native AI. Pica brings over a decade in the AI space, specializing in intelligent marketing and advertising. Before founding Native AI, Pica launched Adyoulike, a contextual targeting AI solution for arm brands and Decide Technologies, a marketing intelligence company. He also served as a board member at Vertebrae prior to Snap, Inc.’s acquisition. Native AI is an always on market intelligence platform that helps businesses understand, innovate, and create ideal experiences for their customers. Native’s proprietary digital twins use generative AI to create clones of a brand’s target customers and consumers to enable real-time engagement and consumer insights. More about Native AI: https://www.gonative.ai Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (01:16) Intro to Frank Pica and Native AI (01:33) AI and digital twins (03:38) Digital twins of customers (05:40) Where does generative AI fit in? (07:12) AI and digital twins adoption - what's changed? (09:48) Trust in AI (10:48) Bringing AI to your business (14:16) Data and privacy (20:03) Social media and data collection (23:26) Companies paywalling their data (26:29) Open source versus proprietary AI models (27:40) Is crowdsourcing the future? (29:45) How accurate does AI need to be? (30:40) How has ChatGPT impacted business interest in AI? (33:47) Why was ChatGPT so successful? (34:57) Future of AI and digital twins Watch on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Twitter: https://twitter.com/_aiforall