The Tesoro AI Podcast

In the realm of artificial intelligence (AI), data plays a crucial role. In essence, it serves as the backbone of AI, providing the necessary nourishment to the algorithms and models that power intelligent systems. As AI continues to evolve, data will remain a primary focus to ensure the continued growth and success of intelligent machines.   In this episode we sit with Daniela Braga, CEO and Founder of Defined AI. Daniela discusses her journey in AI and the pain point she set out to solve. She explains how her background in linguistics led her to work on the first text-to-speech system in European Portuguese and voice assistants for Microsoft. Daniela saw the need for data at scale, especially in local languages, and founded Defined AI to address this problem. The company offers a crowdsourcing platform and a marketplace for training data, ensuring responsible AI and machine learning readiness. Daniela also shares her thoughts on the future of AI, the challenges of data collection, and the impact of regulations on the industry.   With the increasing usage of AI in our lives, the ethical implications of data collection and AI algorithms come into focus. Dr. Braga emphasizes the importance of responsible AI and the need for companies to be transparent about how they collect and use data. Defined AI takes a proactive approach to ensure that the data it collects is consented and properly vetted.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Dr. Daniela Braga is the founder and CEO of Defined.ai, one of the fastest-growing startups in the AI space. She has been the recipient of several awards, including the E&Y Entrepreneur of the Year Pacific Northwest 2020 Award, #27 Deloitte Fast 500 2020 (#1 in the Pacific Northwest region); #27 in Inc.5000 in 2020, and Goldman Sachs Most Intriguing 100 Entrepreneurs in 2021. She is a member of the World Economic Forum’s Expert Network as a Tech Pioneer and AI Expert in WEF Davos 2022. She’s also a YPO and a Chief member. Dr. Braga has raised over $80 million of Venture Capital, making her the woman founder in AI who has raised more capital in the world. Dr. Braga has been appointed to the National Artificial Intelligence (AI) Research Resource Task Force, a 12-person body that advises the US president on the AI strategy of the United States. She is also an advisor to the President of Portugal. Time Stamps:   02:20 Introduction and background of Daniela Braga 06:19 Importance of local languages and inclusivity in AI 09:50 Limitations of data availability in generative AI 11:47 Utilizing crowdsourcing and synthetic data for AI training 14:21 Acquisition and processing of specific data for AI solutions 17:54 Advantages of the data lake and metadata extraction 20:56 Discussion on proprietary data and its use in AI solutions 23:43 Awareness of data usage and government regulations 28:12 Potential shift towards paying for data protection and meaningful content 29:39 OpenAI’s growth, Microsoft deal, and potential regulation 32:22 Lack of reverse engineering measures and outdated information in AI search results 34:29 Defined AI’s use of AI internally 37:40 Daniela Braga’s experience raising VC capital 40:17 How to learn more about Defined AI   Resources Company website: https://defined.ai/ LinkedIn: https://www.linkedin.com/company/definedai/ Twitter: https://twitter.com/Definedai

Artificial intelligence (AI) has become a household term, and its applications are revolutionizing various industries. One area where AI is making a significant impact is heavy industry, including manufacturing, energy, and utilities. In these sectors, companies often face the challenge of outdated digital infrastructure, which hampers productivity and data quality. However, the emergence of conversational AI is changing the game by streamlining processes and improving efficiency. In this opportunity we speak with Mark Fosdike, the CEO & Co-founder of Datch, a company that specializes in conversational AI solutions for heavy industry. Mark's background in aerospace and his firsthand experience with the challenges faced by frontline workers in heavy industry inspired him to develop a solution that would revolutionize the way data is captured and processed. In our conversation, Mark shared insights into the journey of building Datch and the transformative power of conversational AI. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.  Founder Bio:  Mark Fosdike, CEO of Datch, is a visionary leader in the field of asset management and a dedicated entrepreneur. With over two decades of industry experience, Mark has an exceptional understanding of the challenges and opportunities in asset management, and a proven track record of driving innovation and growth. Before founding Datch, Mark held several senior leadership positions in renowned global companies, where he gained extensive expertise in industrial operations, and technology. His passion for delivering cutting-edge solutions led him to establish Datch, with the aim of revolutionizing asset management through the integration of advanced AI-driven features. Time Stamps:  01:54 Mark’s background before creating Datch 04:14 Identifying the problem of inefficient data input in heavy industry 06:20 How Datch uses conversational AI to speed up processes and improve data quality 09:13 Adaptability of Datch's interface for frontline workers 10:40 Leveraging large language models for accurate speech-to-text and prompt engineering 13:12 Customization and application to specific use cases 15:48 Approach to acquiring new customers 17:55 Typical sales cycle and stakeholders involved 19:34 Changing interest in AI solutions over time 22:59 Mark discusses the need for a consultative sales approach  24:38 Founders' background and passion for building things 28:21 Importance of building a network and finding advisors 29:58 Getting advisors to buy in with equity and commitment 32:30 Hiring strategy and the importance of hungry generalists 34:01 Fundraising journey and challenges as a first-time founder 37:58 Exciting things coming up in the future  38:53 How to get in contact with the Datch team Resources Company website: https://www.datch.io/ Twitter: https://twitter.com/datchsystems LinkedIn: https://www.linkedin.com/company/datch/ Facebook: https://web.facebook.com/Datch.io

In this episode, we interview Dilip Mohapatra, the CEO, and founder of Cognitive View, a company that uses AI to solve compliance and customer complaint issues in regulated industries. We discuss how their AI technology is helping businesses in regulated industries monitor and analyze customer conversations to ensure compliance and improve customer service. He shares how the idea for Cognitive View came about and the challenges they faced in building their AI solution.   Dilip explains the importance of understanding complex legal requirements and how their AI model can identify compliance breaches in customer conversation. He also discusses the value of generative AI and the unique capabilities its offers. Dilip highlights the metrics they use to measure the success of their ai solution, including reducing compliance and conduct risk by up to 70% and reducing customer complaints by 50%. He also touches on the fundraising journey for cognitive view and the importance of finding investors who can provide value beyond just capital   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio:   Dilip Mohapatra is the founder of Cognitive View, a regtech company that creates solutions that monitors communication and collaboration channels to automate compliance, quality, customer experience, and conduct risk. It provides the necessary tools to create a customer-centric culture and risk-based supervision that automates operational risk. Cognitive View has been recognized as RegTech100 globally; AI Fintech 100; the best vendor solution for Managing Conduct Risk at the Regtech Insight APAC Awards 2021; and a 2021 IBM Beacon Award Finalist. Dilip has successfully built an enterprise software channel business with IBM and held a variety of product management roles, including HP, Hyro, and Ipedo.   Time Stamps:   01:58 Background of Dilip and Cognitive View 04:05 Challenges faced by companies in managing compliance and misconduct 05:11 Monitoring conversations and identifying compliance breaches with AI 07:36 The importance of understanding complex legal requirements in AI models 10:28 Use cases of Ai in voice, video, and text conversations 12:29 Target industries and metrics for ROI 15:30 Building the Ai solution and the importance of talent 18:03 Challenges in accessing data and the use of proprietary data 22:01 Proof of concept process and requirements for customer engagement 27:01 Leveraging generative AI and proprietary data for unique solutions 30:45 Providing contextual and industry-specific AI solutions 34:33 Fundraising journey and the value of investors 36:56 Talent sourcing ante importance of distributed teams 38:49 Balancing privacy and data sovereignty in a distributed company 42:00 How to get in contact with the Cognitive View team Resources   Company website: https://www.cognitiveview.com/ Twitter: https://twitter.com/cognitiveviewai LinkedIn: https://www.linkedin.com/company/cognitiveview/  

Artificial Intelligence (AI) has revolutionized how businesses operate, and supply chain management and insurance are no exceptions. With the ability to analyze vast amounts of data and identify patterns, AI has the potential to transform supply chain operations and insurance claims management, making them more efficient, cost-effective, and responsive to customer demands. In this thought leadership article, we explore the power of AI in supply chain management and insurance.   In this episode, we sit with Stan Smith CEO of Gradient AI. Stan has founded six companies and has been working with machine learning and AI since the late 1990s. Stan shares his experiences working with AI and machine learning, starting with his first startup that focused on supply chain management. He discusses how his company used machine learning to predict which suppliers were likely to have issues and how this helped his clients save millions of dollars. Stan also talks about the pain point he saw in the insurance market and how Gradient AI is assisting businesses to leverage AI to solve complex problems and improve their operations. In this episode, Stan also talks about the importance of equity in startups, the challenges of building AI solutions in the insurance industry, and the measures Gradient AI took to ensure client data was secure.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.    Founder Bio:  Stan Smith is the  Founder and CEO of Gradient AI. Stan founded Gradient AI, first as a unique practice within Milliman to focus on the risk management and insurance industry’s most challenging business problems. He acquired the business from Milliman in 2018, founding Gradient AI as a rapidly growing independent SaaS organization. With nearly 30 years of experience growing AI and technology organizations, Stan’s leadership ensures that Gradient AI is applying the latest Artificial Intelligence and Machine Learning technologies to the insurance industry, resulting in proven financial performance for its stellar list of customers and better treatment and outcomes for individuals. Stan has held founding or executive-level roles for multiple startup companies, including Vice President at MatrixOne, Executive Vice President and General Manager at Agile Software, and CEO and Founder at OpenRatings.Stan also led the development of patented technologies including: technology that predicts bankruptcies for small, privately held suppliers; a global database to improve supplier performance for more than 80 million companies; and, technology that combines assessments with performance data to identify opportunities for reducing inefficiencies through lean initiatives. Time Stamps:  02:17 Stan Smith's background and experience in the startup world 06:15 Paint point that led to the idea for Gradient AI 09:04 Importance of identifying high-risk claims early  12:18 Ability of Gradient AI's models to accurately predict the cost of a claim 14:32 The complementary nature of AI and human adjusters in claims processing 17:07 Engaging with clients in underwriting operations 19:52 Integration of Gradient AI solutions into commercial systems 23:40 Challenges of building AI solutions in the insurance industry 25:11 Importance of having a team with both AI and insurance expertise 27:14 The importance of culture and team in attracting talent 29:36 Incentives that Gradient AI offers to attract the right talent 32:51 Educating insurance companies about AI and the impact of the pandemic 37:29 Turning interest in AI into investible business problems 40:14 Fundraising journey and partnerships with insurance-focused venture capitalists 41:57 Selecting investors based on industry and AI experience 43:44 Whats coming up new for Gradient AI 44:10 How to get in contact with the Gradient AI team   Resources: Company website: https://www.gradientai.com/ Twitter: https://twitter.com/GradientAI1 Facebook: https://www.facebook.com/gradientai/ LinkedIn: https://www.linkedin.com/company/gradientai/  

In this episode, we sit with Dr. Karim Galil, the founder and CEO of Mendel.AI, an artificial intelligence-powered platform that extracts insights from medical records to improve patient outcomes. Dr. Galil shares his journey from practicing medicine to becoming a tech entrepreneur and the role that AI can play in making healthcare more data-driven. He discusses the challenges of subjective medical practices and the potential for AI to learn from every patient's journey.   Dr. Galil explains that symbolic AI is more focused on teaching machines fundamentals of logic, rules, and concepts, while machine learning is more focused on learning from patterns. He gives an example of the opioid crisis, where a machine learning model would learn that opioids are great because humans are prescribing them, while a symbolic system would understand what opioids are and what the best options are. In the process of building AI in healthcare, Mendel.AI has used both symbolic AI and machine learning. Dr. Galil also discusses the challenges of talent acquisition in the AI industry and how the economy can impact AI talent availability. He emphasizes the importance of hiring talent with grit, curiosity, and coachability and the benefits of hiring mid-level to junior talent to assist the genius.   Mendel.AI is a healthcare platform that uses symbolic AI and machine learning to provide personalized treatment plans for patients. The platform reads every medical record and encounter between patients and healthcare systems to help physicians make more objective decisions. Mendel.AI works with big pharmaceuticals, payers, and data companies to help them read their data and glean insights to make better decisions. The platform can help pharmaceutical companies understand which patients respond better to what drug and in what occasions, and payers can decide whether to cover a certain medication or not. Mendel.AI uses domain experts to learn from, rather than just data and can help pharmaceutical companies discontinue drugs that are not effective and optimize their drug offerings.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.    Founder Bio:  Dr. Karim Galil, MD, is the CEO and Co-founder of Mendel.AI. Mendel's mission is to learn from every patient by structuring and de-identifying patient data at a machine scale and human fidelity to power clinical and research use cases. Dr. Galil’s experience as a physician demonstrated that medicine does not advance at the same rate as technology. With Mendel, he aims to bridge this gap, facilitate clinical research at scale, and make medicine objective. Dr. Galil’s expertise in AI, medical informatics, and digital health makes him a sought-after presence at global conferences.   Time Stamps:  01:49 Introduction of Dr. Karim Galil and his background in medicine  06:59 The potential for AI to learn from every patient's journey 10:41 The challenges of working with unstructured medical data  12:19 The importance of explainable AI in healthcare  15:20 Using real-world data to identify drug effectiveness in specific patient profiles 18:02 The difference between machine learning and symbolic AI  21:09 Difference in talent and approach needed for symbolic AI vs machine learning 23:02 The process of building concepts for symbolic AI 25:53 Challenges of talent acquisition in the AI industry 27:49 The impact of the economy on AI talent availability 31:49 The importance of hiring talent with grit, curiosity, and coachability 35:18 Building a competitive advantage and a mode in AI startups 38:53 Challenges of finding the right investors for AI startups  41:51 The myth of VCs being a value add and the importance of cash and brand 43:01 Who is the end user and how do they engage with the product 45:49 How to get in contact with the Mendel team   Resources: Company website: https://www.mendel.ai/ Twitter: https://twitter.com/mendel_ai_ Facebook: https://www.facebook.com/mendelai/ LinkedIn: https://www.linkedin.com/company/mendel-ai  

Today we sit with Michael D. Abramoff, a neuroscientist and the founder of Digital Diagnostics, a company that leverages artificial intelligence (AI) to provide autonomous medical diagnosis. In this interview, Michael shares his background and how he got into AI, as well as his vision for the future of medical diagnosis. He discusses how he uses AI to make medical diagnoses, the challenges he faces, and the potential for AI to revolutionize healthcare. He also talks about his involvement in other AI-related projects and his thoughts on the ethical implications of AI in healthcare. In addition, Michael delves into the safety concerns surrounding AI, particularly with language learning models (LLMs), and the importance of ensuring that AI is safe and free of bias.   Michael’s vision for AI in healthcare goes beyond mere assistance or augmentation of human decision-making. He believes that AI can make diagnoses and treatment decisions autonomously, without the need for human intervention. However, the promise of autonomous AI must be balanced with the potential pitfalls. As he pointed out, AI that learns from biased or fallible humans can produce models that are worse off. In healthcare, this could lead to harm to patients if doctors blindly follow AI recommendations.   Digital Diagnostics is a company that uses AI to diagnose diabetic retinopathy and increase healthcare access for underserved patients. The AI is trained to detect specific lesions using clinical knowledge and chunk by chunk learning to avoid bias. Healthcare providers can approve or disapprove the AI's recommendations, and the company aims to supplement rather than displace professionals.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Michael D. Abramoff, MD, PhD, is a fellowship-trained retina specialist, computer scientist, and entrepreneur. He is Founder and Executive Chairman of Digital Diagnostics, the first company ever to receive FDA clearance for an autonomous AI diagnostic system. To transform the quality, accessibility, and affordability of global healthcare through the automation of medical diagnosis and treatment. In primary care, it can instantaneously diagnose diabetic retinopathy and diabetic macular edema at the point of care. Dr. Abramoff developed an ethical foundation for autonomous AI that was used during the design and validation, and regulatory and payment pathways for autonomous AI. As the author of over 350 peer-reviewed publications in this field, he has been cited over 42,000 times, and is the inventor of 20 issued patents and many patent applications. Dr. Abramoff has mentored dozens of engineering graduate students, ophthalmology residents, and retina fellows. His passion is to use AI to improve the affordability, accessibility, and quality of care.   Time Stamps: 02:10 Michael's background as a neuroscientist and his interest in AI 05:37 Safety concerns surrounding AI, particularly with LLMs 07:08 The challenges of implementing AI in healthcare 09:07 The importance of AI supporting decision making rather than making decisions 11:02 The potential for AI to revolutionize healthcare 15:25 The importance of ensuring access to healthcare for all 18:40 The pain points behind creating Digital Diagnostics 21:49 Creating an ethical framework for regulation and reimbursement of AI 24:02 Potential for AI to outperform human experts in diagnosing medical conditions 26:00 Importance of clinical outcomes: acquiring data for AI and ensuring inclusivity 29:26 The impact of pigmentation on AI training data 31:37 Talent shortage in AI: transition from rule-based systems to machine learning 33:00 Understanding the fundamentals of AI despite increased efficiency 35:10 The need to prove the worth of AI in healthcare through clinical outcomes 37:24 How to get in contact with the Digital Diagnostics team Resources: Company website: https://www.digitaldiagnostics.com/ Facebook: https://www.facebook.com/AItheRightWay LinkedIn: https://www.linkedin.com/company/digital-diagnostics  

In this episode, we sit with Pankit Desai, a seasoned corporate leader with nearly three decades of experience in the tech industry. Pankit shares his insights into the ever-evolving world of technology and its profound impact on businesses and society. He also takes us on a journey through the waves of technological advancements he has witnessed throughout his career, from crowdsourcing to digital transformation. We explore the advantages these waves have brought, including labor arbitrage, price advantage, and time-to-market advantage, allowing companies to stay competitive in the ever-changing market landscape and we discover how technology has become an integral part of our daily lives, driven by the internet and the proliferation of mobile devices.    The conversation then turns to the integration of artificial intelligence (AI) into businesses and organizations. Pankit highlights the prerequisites for AI success: data, compute capacity, and connectivity. They explore how these prerequisites have made AI more accessible, paving the way for its positive impact on various aspects of life.    With a focus on security, Pankit shares his expertise in applying AI to tackle the challenges of a rapidly evolving threat landscape. He emphasizes the limitations of siloed security solutions and reveals how AI can provide real-time threat identification and response without additional manpower. He then recounts his own journey of founding Secure Tech eight years ago, where he leveraged AI to address the critical cybersecurity problem.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.    Founder Bio:  Pankit Desai is an Indian entrepreneur and the co-founder and CEO of Sequretek, a cybersecurity, cloud security products, and services company. He co-founded Sequretek in 2013, along with Anand Naik, and has been instrumental in growing the company into a leading provider of cybersecurity and cloud security solutions. Before starting Sequretek, Pankit held various technology leadership and management roles in the IT industry across companies such as across companies such as NTT Data, Intelligroup, and Wipro Technologies. He holds a degree in computer engineering and has a strong background in technology and entrepreneurship.  At Sequretek, he is proud of the growth that this team has been able to achieve within a short duration. With product offerings that have found resonance with over 120 customers across industry segments, it has been able to grow at phenomenal growth rates and has ambitions to create India’s first truly global security product and solutions company. Under Pankit's leadership, Sequretek has won several awards and recognition for its innovative solutions and commitment to the cybersecurity industry.   Time Stamps:  01:56 Pankit’s background on AI and the impact of technology on everyday life 06:07 Impact of AI on businesses and organizations 09:35 Exploring the power of AI in cybersecurity 12:39 Possibility of AI-driven security solutions for data consumption and threat response 14:23 Zero-day threats and data acquisition strategies 19:27 AI product differentiation and competitive advantage 21:32 Benefits of AI for security challenges 25:30 Building trust and acquiring customers in the cybersecurity space 27:59 Closing deals and raising capital 30:05 Leveraging AI and security to run a capital efficient business 32:46 Using offshore talent for capital efficiency in the product build lifecycle  34:44 Leveraging talent in India for product engineering success 37:18 Strategies for building a secure and successful business in 2023 39:16 Impact of large language models on the threat environment  41:01 How to get in contact with the Sequretek team   Resources: Company website: https://sequretek.com/ Facebook: https://www.facebook.com/sequretek.sqtk/ Instagram: https://www.instagram.com/sequretek/ LinkedIn: https://www.linkedin.com/company/sequretek Twitter: https://twitter.com/sequretek_sqtk

In this episode, we dive into the fascinating world of compliance and security with special guest Rachael Greaves, co-founder of Castlepoint, a tech company revolutionizing the industry. Rachael shares her journey, starting from her early days at Hitachi Data Systems, where she discovered her passion for storage systems and eventually found her way into the field of audit. Rachael's frustration with the constant shortcomings in compliance and security practices led her to invent a groundbreaking approach utilizing artificial intelligence. Together with co-founder Gavin McKay, she transformed their consulting company into a product company driven by AI technology. They recognized the critical need for advanced technology solutions in meeting compliance obligations, both in government and private entities.   Rachael also discusses her experience with a large military project audit, which inspired her to create Castlepoint. Feeling unsatisfied with the outcome, she embarked on a mission to help organizations succeed by offering a comprehensive approach to security and audit services. Castlepoint provides a unique lens, combining policy expertise with technical proficiency to protect assets and ensure compliance with security regulations. Audits, reviews, and risk assessments are just a few of the services they offer to help companies stay secure and compliant.   Furthermore, Rachael sheds light on the challenges organizations face in managing data and systems effectively. With the ever-growing volume and speed of data generation, and the multitude of systems in use, finding a solution that balances secure data management without compromising user, system, and network performance is a daunting task. Rachael emphasizes the need for innovative solutions that alleviate the burden on under-resourced governance teams.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.    Founder Bio:  Rachael Greaves is a records and information management thought leader and designed the Castlepoint command and control product. Rachael has consulted on large-scale records, security, and audit projects in government and regulated industries with complex integrated environments, and developed Castlepoint in response to the tension seen in organizations between compliance, usability, sustainability, and cost. Rachael is a Certified Information Professional (CIP), Certified Information Systems Auditor (CISA), Certified Information Security Manager (CISM), and Certified Data Privacy Systems Engineer (CDPSE), and is certified in project, change, and records management. With a cultural anthropology and linguistics background, Rachael brings ethical, global, and sustainable practices to the sector. Her innovative technology concept has transformed the compliance and risk management outcomes of multiple organizations, by automating the application of complex and multi-layered regulatory obligations to their data holdings. Rachael’s mission is to improve outcomes for citizens and stakeholders by helping governments and organizations to provide better, more accountable services.   Time Stamps:  02:14 Rachael’s background and journey on AI  05:16 Audit compliance and AI solutions for the government and corporate entities  09:50 Castlepoint product company: exploring solutions to data management 13:56 AI-powered records management 20:27 Difference between automation and supervised machine learning 23:41 Exploring AI solutions for records retention schedules 27:53 Benefits of rules as code modeling for regulatory compliance 29:15 Analysis of Castlepoint AI for state government entity inquiry 32:41 AI-powered abuse detection 34:17 Benefits of using Castlepoint for compliance and data destruction 38:10 Benefits of Castlepoint for data management and AI model compliance 40:10 Risks associated with AI: robo debt, phishing emails, and business email compromise 44:32 How to get in contact with the Castlepoint team   Resources: Company website: https://www.castlepoint.systems/ Facebook: https://www.facebook.com/castlepointSys2 LinkedIn: https://www.linkedin.com/company/castlepointsystems Twitter: https://twitter.com/castlepointSys2  

In this episode, we delve into the fascinating world of AI-driven drug discovery and its potential to revolutionize the field of structural biology. Our guest, Raphael Townshend, the founder of Atomic AI, shares his journey from engineering to AI and his profound interest in the structural biology space. Raphael discusses his background in engineering and how his focus on AI, particularly computer vision, led him to pursue a Ph.D. in AI with a keen interest in structural biology. He explains how he discovered the relatively unexplored area of structural biology and recognized its potential for AI algorithms to make a significant impact. The conversation takes a deeper dive into the potential impacts of AI on drug discovery, with a particular focus on its application in finding cures for diseases with no known remedy, including Alzheimer's, Parkinson's, various cancers, and infectious diseases. Raphael explains how AI has already demonstrated remarkable success in folding molecules, an achievement that once required extensive time and resources. By leveraging AI algorithms, researchers can now significantly reduce the time and cost involved in the drug discovery process. Discover how AI algorithms are reshaping the landscape of drug discovery and paving the way for more efficient and cost-effective treatments. Tune in to this episode to explore the future possibilities of AI in structural biology and its potential to transform healthcare and improve countless lives. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Raphael Townshend is the Founder and Chief Executive Officer at Atomic AI, a biotechnology company using artificial intelligence to enable the next generation of RNA drug discovery. Prior to founding Atomic AI, Raphael studied for his Ph.D. at Stanford University, where he wrote his thesis on Geometric Learning of Biomolecular Structure and taught in Stanford’s machine learning and computational biology programs. He has been recognized in Forbes 30 Under 30, and his work has been featured on the cover of Science, recognized by the Best Paper award at NeurIPS, and published in other top venues such as Nature, Cell, and ICLR. During his Ph.D. program, Raphael also held positions at DeepMind and Google on their artificial intelligence and software engineering teams and founded the inaugural workshop on machine learning and structural biology. Time Stamps:   02:53 Raphael’s background and professional journey in AI 05:36 What are structural biology and the rational design of molecules 08:02 Impact of AI on drug discovery and medical research 09:18 Molecule design for undruggable diseases with AI-guided drug discovery 13:39 Designing RNA molecules for disease treatment using ai algorithms 15:30 Collecting data for AI model training 17:44 Exploring data generation for AI-powered RNA analysis 18:56 Complementing biological and AI scientists for AI model training 20:44 Predicting 3-dimensional protein shapes using machine learning 22:58 Exploring the Pharmaceutical and biotech industry 25:53 Structuring deals for startups in the biotech industry 27:55 Building a biotech company: found raising journey 30:49 Techbio investing and business modeling 34:06 Benefits of partnering models in Biotech and AI product usability 37:53 Progress in RNA drug discovery and AI-powered research 39:04 How to get in contact with the Atomic AI team   Resources: Company website: https://atomic.ai/ Twitter: https://twitter.com/AtomicAICo LinkedIn: https://www.linkedin.com/company/atomic-ai-rna/

In this episode, we speak with technology expert Mark Smith, who shares his experience with podcasting and how he became an entrepreneur. Mark discusses his background, previous success with Windows NT Magazine, and his podcast, Digital Roughnecks. He also talks about how Zoom has become the leading platform for video conversations and recounts the pivotal moment when media business owners sought his expertise to create in-house digital marketing agencies, recognizing the need for essential tools in the digital landscape.   Mark reveals the genesis of his company, CleanConnect.AI, and its focus on leveraging computer vision and AI in the oil and gas industry. With a commitment to addressing industry needs, Mark's company secured a loan, formed strategic partnerships, and built a team of experts. The impact of their solutions is exemplified by successful projects, such as building sites without night operators and creating an autonomous gate guard model, enabling cost savings and operational efficiency. He also recounts transformative scenarios where CleanConnect.AI provided groundbreaking solutions, such as enabling significant cost savings and developing an autonomous gate guard model during the pandemic.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio:   Mark Smith is the President and co-founder of CleanConnect.AI. He hosts Digital Roughnecks, a weekly video podcast focusing on the digitization of energy using AI, cleantech, and crypto. Mark Smith has 25 years of experience in technology-focused digital marketing, publishing, and software development. He previously launched Windows NT Magazine, which was viewed by 1.5M IT professionals in 160 countries. His software suite is the only government-approved AI solution that can replace human leak-detection-and-repair operators for oil & gas companies.    Time Stamps: 01:59  Mark's background is from IT guy to entrepreneur and podcast host 05:30 How Mark founded his AI company in the oil and gas industry 08:47 Solving big problems with custom development solutions 10:32 Automating leak detection and repair with computer vision 15:31 Benefits of purchasing a computer vision solution for energy companies 19:16 Exploring platforms for R&D investment and scalability 20:31 Data journey for AI training in tank-level monitoring 24:00 Hiring specialty people for machine learning and computer vision projects 27:19 Integrating technology and oil & gas industry expertise 31:07 Benefits of open AI for business development 34:15 Leveraging channel partners and webinars for autonomous solutions 36:00 Partnering and raising funding for product development 39:34 Exploring investment opportunities in ai and oil & gas industries 43:03 Future of energy trading and certification 44:19 How to get in contact with the CleanConnect.AI team Resources: Company website: https://www.cleanconnect.ai/ Facebook: https://www.facebook.com/cleanconnectai/ LinkedIn: https://www.linkedin.com/company/clean-connect