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The Darius Gant Show

Technology Podcasts

Exploring practical applications of artificial intelligence in business. We learn from leading AI startups and executives how AI is reinventing the way we run businesses and our society.


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Exploring practical applications of artificial intelligence in business. We learn from leading AI startups and executives how AI is reinventing the way we run businesses and our society.






The Future of Compliance and Security with AI | Rachael Greaves, Castlepoint

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 ( 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,...


Unleashing the Potential of Structural Biology with AI | Raphael Townshend, Atomic AI

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 ( 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: Twitter: LinkedIn:


Transforming Oil & Gas Industries with Technology | Mark Smith, CleanConnect.AI

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 ( 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: Facebook: LinkedIn:


Transforming the Fish Farming Industry with AI | Bryton Shang, Aquabyte

In this episode of the podcast, we talk to Bryton Shang, an engineer, and technologist with a background in operations and financial engineering from Princeton. Bryton has been a co-founder and CTO of multiple tech startups, with his latest venture, Aquabyte, utilizing artificial intelligence to detect sick animals in fish farms. Bryton discusses the challenges facing the fish farming industry and how technology can be used to overcome them. He talks about the use of cameras and computer vision AI models to help fish farmers monitor the growth and welfare of their fish, and how this data-driven approach can lead to increased sustainable food production. We also learn about the benefits of using Aquabyte's technology system for fish farmers. This system allows farmers to measure the growth of their fish over time, make decisions on their food and treatments, and harvest them earlier for a higher price. Bryton explains how the system was approved by the FDA in Norway, eliminating the need for manual counting and handling of the fish, increasing the quality of the fish that is consumed, and making business processes more effective. Finally, Bryton touches on the global nature of the fish farming industry, highlighting its presence at a fish expo in Brussels, where every type of fish imaginable was present. Join us as we explore the exciting world of technology in fish farming and its potential to revolutionize the industry. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Bryton Shang is the founder and CEO of Aquabyte, which uses computer vision, machine learning, and AI to help aquaculture farms feed the world as cleanly and efficiently as possible by giving the industry unprecedented insight into the health, growth, and sustainability of their fish. Bryton grew Aquabyte from an idea with a prototype in his bathtub to an intelligent camera and data platform that helps the world's top fish farms understand what's happening in their pens -- uniquely identifying individual fish to track their health, growth, and environment -- without removing the fish from the water. Its technology solutions include biomass estimation, sea lice counting and non-antibiotic treatment optimization, feed optimization, welfare indicators, and more. All of this helps aquaculture farms minimize waste and maximize profit while also protecting the fish, waters, and communities that depend on them. The company now operates offices in Norway, the U.S., and Chile, and was the first technology company to be recognized for its accuracy by the Norwegian Food Safety Authority. Prior to Aquabyte, Bryton led several venture-backed startups, including as CTO of HistoWiz. At this biotechnology firm, he developed a deep learning algorithm to diagnose cancer, as well as iQ License, a brand licensing platform that he co-founded. Bryton graduated at the top of his engineering class at Princeton University and was recognized by Forbes magazine as a 30 Under 30 leader in Manufacturing & Industry. When he's not at a fish farm, you can find him in San Francisco. Time Stamps: 02:06 Bryton’s background and professional journey 05:09 Exploring the use of AI in fish farming 09:28 Benefits of fish farming and the use of technology for healthier fish 13:29 Aquabyte’s AI-native solution for fish farming + 16:43 Challenges of collecting training data for AI solutions in fish farming 20:16 Implementing AI solutions for farm growth measurement 22:42 Building a multidisciplinary team to solve computer vision problems in the marine biology industry 25:22 Recruiting for data labeling, AI, and computer vision experts 29:56 Recruiting strategies for a mission-driven startup 33:08 Challenges of growing a startup 37:18 Challenges of growing a business 40:51 How to get in contact with the Aquabyte...


Impact of Generative AI on Critical Needs and Tech Companies | Igor Jablokov, Pryon

In this episode of the podcast, we sit down with Igor Jablokov, an artificial intelligence expert who has had a long and varied career in the industry. We discuss the emerging technology of multimodal interfaces, which allow users to choose from different modes of input and output, and how consumer tech companies have been able to package this technology and make it accessible to the mass market. We delve into the world of entrepreneurship and the stereotypes associated with the industry. Igor talks about his experiences founding and running his own companies, including his latest venture, Pryon. He also shares his thoughts on the importance of education and foresight when looking at the industry. Throughout the episode, Igor shares his unique perspective on the intersection of art and science, drawing on his childhood in Greece and his teenage years in Philadelphia and Montreal. We discuss his role in creating voice-activated experiences, and how he was inspired to launch his latest venture, Alexa. We also touch on the importance of accuracy and security in the development of AI technology, particularly in environments like hospitals, where lives may be on the line. Finally, we explore the impact of social media on the spread of information, and the importance of accuracy in the age of Twitter. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Igor is the CEO and Founder of Pryon. Named an “Industry Luminary” by Speech Technology Magazine, he previously founded industry pioneer Yap, the world’s first high-accuracy, fully-automated cloud platform for voice recognition. After its products were deployed by dozens of enterprises, the company became Amazon’s first AI-related acquisition. The firm’s inventions then became the nucleus for follow-on products such as Alexa, Echo, and Fire TV. As a Program Director at IBM, Igor led the team that designed the precursor to Watson and developed the world’s first multimodal Web browser. As an innovator in human language technologies, he believes in fostering career and educational opportunities for others entering STEM fields. As such, he serves as a mentor in the TechStars’ Alexa Accelerator, was a Blackstone NC Entrepreneur-In-Residence (EIR), and founded a chapter of the Global Shapers, a program of the World Economic Forum. Time Stamps: 02:18 Igor's professional journey and background 04:51 Benefits of multimodal technology for end users 07:42 Intersection of art and science in voice technology 12:41 What is Pryon, what does it do? 18:38 AI-powered document analysis for enterprises 20:22 Benefits of separating duties and leveraging expertise in product development 25:23 Benefits of AI technology for enterprise and cognitive technologies for businesses 31:12 Leveraging AI technologies to achieve growth 33:23 Evolution of AI technologies and their impact on business 35:29 Discussion on generative technologies and responsibilities 38:51 Exploring the impact of generative AI on critical needs and consumer tech companies 41:37 Risks of not advancing ai technology 44:56 Generative technologies and their impact on privacy and commerce 47:27 How to get in contact with the Pryon team Resources: Company website: Instagram: LinkedIn: Twitter:


Investment Strategies: Unveiling the Power of AI-driven Corrective Methods for Informed Decision Making | Ernest Chan, PredictNow.AI

In this episode, we delve into the captivating career path of Ernest Chan, the Founder, and CEO of PredictNow.AI. Despite starting with a degree in physics, Chan has made a name for himself in the world of finance and machine learning. With experience from working at IBM Research in natural language processing, machine learning, and speech recognition, to developing groundbreaking methods to compare identities without an exact match while working in an internal consulting unit at Morgan Stanley, Chan has a wealth of knowledge to share. We also explore Chan's foray into the hedge fund industry, following in the footsteps of some of his former colleagues who had become billionaires at Renaissance Technologies. After working at Credit Suisse and starting his own startup during the dot-com bubble, Chan eventually found success in the hedge fund industry once again before catching the entrepreneurial bug once more in 2005. PredictNow.AI believes that the potential of machine learning lies in its ability to correct human decisions rather than make them from scratch, hence the term Corrective AI. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Ernest Chan (Ernie) is the founder and CEO of PredictNow.AI, a machine learning SaaS. He started his career as a machine learning researcher at IBM's T.J. Watson Research Center's Human Language Technologies group, which produced some of the best-known quant fund managers. He later joined Morgan Stanley's Data Mining and Artificial Intelligence group. He is the founder and non-executive chairman of QTS Capital Management, a quantitative CPO/CTA. He obtained his Ph.D. in physics from Cornell University and his B.Sc. in physics from the University of Toronto. Time Stamps: 01:55 Ernest Chang's early career and Background 04:02 Exploring the intersection of finance and machine learning 06:33 From Morgan Stanley to starting a startup: an early work in the fintech industry 10:09 Challenges of launching a new product in an unprepared market 12:57 Becoming an independent trader and launching a fund 17:33 Using corrective AI to improve investment decisions 20:32 Benefits of AI-augmented investment decision making 23:32 Clustering AI predictive variables for improved decision making 28:07 Leveraging data to build a practical ai system 33:30 Benefits of AI-powered trading with Predictnow.AI 35:00 Benefits of conditional portfolio optimization for institutional investors and Asset managers 41:15 AI product development and raising capital for a quantitative asset management firm 44:08 What’s coming up in 2023 for PredictNow.AI 46:17 How to get in contact with the PredictNow.AI team Resources: Company website: Youtube: LinkedIn: Twitter:


AI-Powered Customer Support Automation | Deon Nicholas, Forethought

In this episode, we dive into the world of AI-powered customer support with Deon Nicholas, CEO and Co-founder of Forethought. Deon shares his journey into the field of AI and how his passion for technology led him to start his own company. He explains how Forethought's natural language processing technology is transforming the customer conversation experience by providing customers with quick and accurate answers to their questions. Deon discusses the history of natural language understanding and processing, and how it has evolved over the years. He explains how chatbots have been used for customer service but were often clunky and unsatisfactory for customers. He then shares how Forethought's approach to chatbots is different and how their innovation is providing a better experience for customers. The conversation delves into the differences between decision tree makers and AI-powered chatbots, with Deon highlighting the limitations of manual and keyword-based systems. He explains how Forethought's technology is based on language models that are built using historical customer inquiries and the actions taken by customer service agents, providing a more detailed and accurate understanding of customer inquiries. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Deon Nicholas is CEO & Co-Founder of Forethought, one of the leading generative AI platforms for customer support automation. The company has raised over 90 M in venture capital from 42 investors, including LL Cool Jay, Sean “Diddy” Combs, Gwyneth Paltrow, Ashton Kutcher, Baron Davis, Robert Downey Jr., owner of the Utah Jazz, Ryan Smith and Vlad Tenev, CEO of Robinhood. Mr. Nicholas grew up in Toronto, Canada, where as a teenager he fell in love with computers and video games. He went on to study computer science at the University of Waterloo and interned at Facebook and Palantir. He then worked at Dropbox and Pure Storage, where he developed a passion for solving technically difficult problems. He also has ML publications and infrastructure patents, was a World Finalist at the ACM International Collegiate Programming Contest, and was named to Forbes 30 under 30. Time Stamps: 02:12 Deon background and early career into AI 04:34 Evolution of natural language understanding and AI-powered chatbots 06:57 Difference between Chat GPT and Forethought AI technology 10:49 Integrating language models into customer service: challenges and solutions 13:39 Possibilities of applying transformer models to customer service data sets 15:23 Benefits of AI-powered support interactions for high growth companies 21:10 Semi-supervised learning for automated customer support 24:05 AI-powered chatbot solutions for improved customer support 27:19 Benefits of AI for businesses: Discussion on economies of scale and cost savings 30:31 Understanding the difference between AI and human-under-the-hood businesses 37:23 Benefits of combining deep ML research and product development 39:34 Investing in an AI business: building a team of engineers for AI product development 42:50 How to get in contact with the Forethought team Resources: Company website: Facebook: LinkedIn: Twitter:


AI Automation In Fraud Detection & Retail Merchandise Planning | Gary Saarenvirta, Daisy Intelligence

In this episode of the Darius Gantt Show, we sit with Gary Saarenvirta, the founder and CEO of Daisy Intelligence, to discuss his journey in the world of autonomous AI and the challenges and successes of building a company that revolutionizes decision making. Gary is a preeminent expert on autonomous AI, and his company has pioneered explainable decisions as a service for merchandise planning and risk management. This technology is transforming the way retailers and insurers make data-driven decisions. Gary's background in numerical methods and machine learning led him to be one of the first worldwide users of IBM's machine learning product, and he eventually left IBM to found Daisy Intelligence. Gary discusses how his company's technology is similar to how Neil Armstrong gave the computer instructions to land the lunar module, with the human setting the objective and the computer taking care of the details. He also covers the importance of control theory and system thinking when it comes to successfully leveraging AI. Gary highlights the use of control theory in the aerospace industry and explains how it is essential to wrap machine learning and predictive modeling in control theory to create stable and fault-tolerant AI systems. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Gary Saarenvirta is a Canadian engineer, scientist, speaker, and entrepreneur. Saarenvirta is best known for being the founder and CEO of the Canadian Artificial Intelligence (AI) company Daisy Intelligence. In 1992, Saarenvirta worked as an Object-oriented_programming software development consultant for three years at METEX, known for selling forth generation software development platforms. For the following five years, he was the general manager of data analysis consulting at The Loyalty Group, best known for their Air Miles program. In 2000, Saarenvirta joined IBM as the head of data mining and data warehousing practices until 2002, when he then moved on to become the chief operating officer at Adastra Corporation until 2003. In 2003, Saarenvirta began his entrepreneurship, founding Makeplain Corporation on December 22nd. In 2016, the company was rebranded, and became what is known today as Daisy Intelligence. Time Stamps: 02:22 Gary Background and origins of AI in Toronto 05:20 Benefits of AI and machine learning 09:42 Autonomous decision making in fraud detection and retail merchandise planning 13:20 Leveraging technology to support employees 16:25 Exploring the benefits of AI-driven technologies for content creation 18:55 Benefits of autonomous AI software for businesses 23:34 Danger of a data-driven approach in business and engineering systems 26:08 Optimizing retail merchandise planning decisions 27:59 Benefits of predictive modeling and change management in retail planning 30:53 Building trust through AI 33:05 Change management and AI implementation considerations 35:05 Automating data cleaning for ai development 36:44 Hiring for machine learning team in a data science company 39:07 Retaining talent in a startup scale up: strategies for success 42:30 Discussion on the safety of Chat GPT and Google ads systems 44:33 How to get in contact with the Daisy Intelligence team Resources Company website: LinkedIn: Twitter:


AI-Powered Customer Service: Revolutionizing the Calling Experience | Alex Sambvani, Slang.AI

Calling a business should not be a frustrating experience where you're forced to endure terrible hold music and struggle to reach a human representative. In this episode, we sit down with Alex Sambvani, CEO and Co-Founder of Slang.AI, to discuss how AI is transforming customer service. Slang.AI utilizes voice AI technology to create personalized, interactive conversations with customers, revolutionizing phone-based customer service. With a background in mechanical engineering and business, Alex has always been interested in technology and entrepreneurship. After working in finance for several years, he returned to tech and eventually landed at Spotify as a data scientist. It was there that he began working on voice technology and was inspired to start Slang AI with his co-founder, Gabe. Throughout the podcast, Alex discusses the potential of AI in customer service and the challenges businesses face in implementing it. They also explore the frustrating experience of calling businesses and how Slang AI is working to make it easier for businesses to incorporate voice technology into their customer service strategies. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Alex first became interested in technology when he learned to code at the age of 14 (self-taught). Since, he has spent his career hopping back and forth between engineering and business. He spent several years working in private equity investing and more recently worked as Senior Data Scientist at Spotify. Alex is passionate about applying artificial intelligence to challenging societal problems. He holds a B.S. in Mechanical Engineering from Stanford and an MBA from Harvard. Time Stamps: 02:17 Alex background and how It was introduced to AI 07:55 What is Slang.AI and the potential of voice technology for businesses 10:12 Transforming the experience of calling a business 13:37 Conversation flow sample for flame 15:09 Impact of Chat GPT on voice and NLP applications 19:30 AI product architecture: challenges of building an AI business 24:03 Collecting data to train AI models for a new company 28:13 Building a team with subject matter expertise for ai and machine learning 31:00 Upskilling and AI combining technical and subject matter expertise 33:10 Funding journey for Slang.AI: raising capital for a voice AI startup 40:51 Upcoming launches and fundraises for 2023 42:40 How to get in contact with the Slang.AI team Resources Company website: Instagram: LinkedIn: Twitter:


Building and Managing High-Quality Datasets for Machine Learning | Jason Liang, SuperAnnotate

One of the stand-out characteristics of Artificial Intelligence (AI) is its ability to learn, for better or for worse. It’s this ongoing effort that distinguishes AI from static, code-dependent software. It’s also precisely this ability that makes high-quality annotated data a crucial element in training representative, successful, and bias-free AI models. In this episode, we sit down with Jason Liang, VP of Business Development and Co-founder of SuperAnnotate. This AI lifecycle platform provides annotation services and training data for machine learning models. With over a decade of experience in finance, corporate, and tech startups, Jason brings a unique perspective to the conversation. We start by exploring Jason's background, including his experience at Lehman Brothers and his time in the tech world at SAP's mobile division. From there, we dive into the SuperAnnotate platform and how it helps companies build high-quality datasets for machine learning. Jason explains how SuperAnnotate uses professionally managed annotation teams instead of crowdsourcing to ensure high data quality. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Jason Liang is the VP of Business Development and a Co-founder of SuperAnnotate where his goal is to help every organization radically improve the way they build, manage, and leverage datasets for machine learning unlocking limitless value in their data. Jason has a decade of experience leading go-to-market activities for ML companies such as Qeexo and DataRobot. Jason also spent time at SAP, as the Executive Director for Global Solutions. Jason began his career in investment banking at Lehman Brothers. He has an MBA from UC Berkeley's Haas School of Business and a bachelor's degree from MIT. Jason is also an advisor for a number of startups and is a go-to-market advisor for Berkeley's SkyDeck incubator. Time Stamps: 00:00 Jason's background: from finance to AI startup founder 03:30 Exploring data annotation and labeling with super annotate 06:15 Leveraging professional annotation teams to streamline data labeling processes 09:50 Data engineering solutions for AI companies of all sizes 12:23 Data annotation and machine learning workflows for fortune 500 companies 13:53 Managing data for fortune 500 companies: challenges and solutions 17:11 AI development consulting services 18:16 Exploring go-to-market strategies for early-stage startups in computer vision and NLP 22:13 Leveraging software and training to outperform specialized agronomists 23:29 AI adoption and SuperAnnotate fundraising journey 26:00 Potential of generalized machine learning and AI infrastructure 29:32 Regulations and ethics in artificial intelligence deployment 31:32 Discussing data security and compliance 32:55 How to get in contact with the SuperAnnotate team Resources: Company website: Facebook: LinkedIn: Twitter:


The Future of Website Content Creation | Andrew Palmer, Bertha AI

Today we sit with Andrew Palmer, founder of Bertha AI, to discuss the revolutionary tool that uses ChatGPT and OpenAI to create compelling marketing copy and images in a fraction of the time it would take to do it manually. In this conversation, Andrew talks about his entrepreneurial journey prior to Bertha AI, which includes developing a web hosting management solution for agencies, advocating for product makers, and providing plugin development support. Andrew then shares his experience with Bertha, a plugin and Chrome extension that generates text and copywriting for a variety of online platforms. Bertha was designed to help solve the pain point of content generation and gathering, which is often difficult to get from clients. Bertha was built as a writing assistant for website developers and provides prompts related to website development, such as unique services, unique sales propositions, product descriptions, and other text. But it also can be used in WordPress, Shopify, and other E-commerce, making it a versatile tool for content creation. The plugin can generate product descriptions, blog post topics, and other content. It also includes images to help with the development of websites. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Andrew Palmer is one of the co-founders of Bertha AI. He is providing WordPress users with an easy solution for content creation, maintaining a daily connection with the WordPress community and offering coaching, advocacy, and support for individuals and companies striving for excellence. Additionally, he endorses GridPane, a company offering a fantastic hosting management solution for agencies to start, manage, and provide great hosting services to their clients. Andrew is also the founder of WP Plugins Plus, a company with locations in London, UK, and Kolkata. WP Plugins Plus specializes in making plugins, providing support for various agencies, and offering guided website design and build services. Time Stamps: 02:33 Background of Bertha: from vendor marketplace to AI-powered writing tool 05:55 AI-powered content generation for clients 07:25 Benefits of Bertha: a WordPress plugin for writing assistance 11:27 Approaching to build Bertha: a conversation on AI-powered content creation 13:28 AI development and mitigating risk with open-source solutions 15:26 Benefits of AI-powered chatbot development 19:21 Benefits of prompt engineering for ai applications 23:19 The core skills of a prompt engineer 27:26 Mechanics of large language models with OpenAI 29:27 Bertha AI ability to ask relevant questions. 33:13 Benefits of chat GPT and Bertha for code development 35:06 The impact of generative AI on open source and privacy rights 38:57 Strategies for creating value for monetizing. 40:44 Using Bertha AI for increasing productivity and profitability 43:10 How to get in contact with the Bertha.AI team Resources Company website: Facebook: LinkedIn: Twitter:


Using AI to Produce Healthier and More Sustainable Food Options | Jason Bull, Benson Hill

Historically, breeding has been a blend of science and chance – a lengthy, expensive process where outcomes often come with tradeoffs. As one plant characteristic such as yield is optimized, another such as protein content is compromised. CropOS changes this by enabling greater control and precision, this means reduced costs and greater accessibility. In this episode of the podcast, we sit down with Jason Bull, the Chief Technology Officer of Benson Hill, to discuss the company's focus on producing healthier and more sustainable food options with the help of its Crop OS platform. With over 20 years of experience at Monsanto, Jason is now bringing his expertise to Benson Hill, where he leads the company's R&D, data science, predictive breeding, genomics, product discovery, big data engineering, and software development. Jason shares his experience in transitioning from traditional breeding to molecular assisted breeding and then to predictive breeding. He talks about how he put in place the underlying systems to run research and development, and how he began working with predictive technologies, eventually leading to the integration of AI at Monsanto. The conversation delves into the executive decision to use artificial intelligence to predict future outcomes, and how Jason had to prove the worth of AI to the business owners. Jason addresses the internal concerns around job security and how the team overcame these challenges by having food scientists, data scientists, and plant scientists all work together. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Jason Bull is the Chief Technology Officer of Benson Hill. In his role as CTO, Jason leads the company’s combined R&D and Data Science capabilities across predictive breeding, genomics, product discovery, big data engineering and software development. Bull has over 20 years of industry experience unlocking synergies between biology and data science for multiple industries. Bull spent twenty years with Bayer (Monsanto) and then Climate Corporation, most recently as its Global VP R&D of Digital Seed Science, where he delivered a digital advisory platform. Jason has been granted 30 patents in digital agriculture, molecular breeding and robotic seed chipping. He has also authored 15 publications on the optimization of breeding and production systems. He earned his Ph.D. in Quantitative Genetics and Biometrics and a BA in AgSci (Honors) in Quantitative Genetics and Analytics from the University of Queensland in Australia. 01:49 Jason Bull background: AI in Monsanto's Seed Development Process 05:32 Artificial intelligence to increase success in product development 06:45 Benefits of cross-functional teams for AI Implementation 12:14 Jason experience with machine learning at object computing OCI 16:39 Exploring a new opportunity in biotech genetics and food science 18:56 Benson Hill AI-Inspired platform and products 24:02 Jason's role in accelerating Benson Hill expansion 27:44 Scaling the organization with ai and machine learning talent 30:07 Recruiting talent for AI and machine learning at Benson Hill 32:08 Benefits of across functional team and SWAT teams for AI delivery 36:32 Discussion on Crop OS and organizational decisions at Benson Hill 39:05 What’s next for Benson Hill AI development 41:07 Combining Impact, Cost, and AI to Create Innovative Products 43:20 How to get in contact with the Benson Hill team Resources Company website: FaceBook: LinkedIn: Twitter:


Building a Smarter Workflow: The Rise of AI-Enabled Task Automation | Pascal Weinberger, Bardeen AI

Today we sit down with Pascal, the founder, and CEO of Bardeen AI, a leading workflow automation company. Pascal shares his journey in the AI and machine learning field, and how his experience of spending too much time on repetitive tasks led to the creation of Bardeen, a platform designed to automate micro functions for users. They discuss how Bardeen integrates AI into its platform to understand user needs and recommend the right automation for the right user in the right context. He shares everyday use cases for Bardeen, such as market research, outreach, and recruiting, and how it is integrated with popular tools like Notion, AirTable, and Google Sheets. Bardeen automates manual work so that people can focus on what they love. It also allows you to trigger and participate in automation right from where you are. This idea of contextual, proactive automation unlocks the potential of automating tasks that previously only large companies with big budgets could and now takes just a few minutes to set up. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Pascal started his career at the intersection of ML and neuroscience, trying to learn how to learn the brain. He then went on to work with Google Brain on various ML projects, and then founded and successfully exited an AI company in the AgTech space. After his exit, he helped co-found an NGO and then went on to start and lead Telefonica's Moonshot Factory's AI team. In 2019 he joined Augustus Intelligence to build the tools and platform to enable real scale for AI and ML use-cases in the enterprise. He is currently based in NYC and is also actively investing and advising various AI companies as a Venture Partner at AI Capital and personally. 01:58 Pascal Weinberger's background, from recruiting to automation tools to BAE 04:59 Pain point of repetitive tasks 06:46 Automating repetitive tasks with workflow automation 10:44 exploring the journey of building an ai model 14:30 Benefits of solving problems without ai before training a model 17:18 Shift from model-first to business value-first ai solutions 19:57 Abstraction layer for automating automation 22:04 Hiring for a tech company: challenges and strategies 25:54 Discussion on the engineering hiring market in 2021 28:22 Go-to-market strategies for automation platforms 32:37 Benefits of automation with Bardeen 36:06 ROI metrics for ai automation solutions 38:11 AI company raises series funding to automate end-user workflows 41:23 How to get in contact with the Bardeen team Resources: Company website: YouTube: LinkedIn: Twitter:


An AI-Driven Approach to Managing an Explosion of Data Alongside Data Privacy Concerns | Abhi Sharma, Relyance AI

As software development accelerates, it's becoming increasingly challenging for legal, security, and IT teams to track personal data flows. Manual workflows like forms and meetings can leave them in the dark, putting user and customer trust at risk. That's where Relyance AI comes in. Their machine learning technology builds a dynamic, real-time data inventory and map to monitor how personal data moves through code, applications, infrastructure, and third-party vendors. On this episode, we're joined by Abhi Sharma, Co-Founder & Co-CEO of Relyance AI, a company that leverages machine learning to track personal data flows in real-time. Abhi is a tech entrepreneur and machine learning expert with a passion for driving change and innovation in the industry. He shares his background and experience building and marketing products involving compilers, large-scale data processing, machine learning, and observability tools. Abhi also explains how he applied metamodeling and machine learning to tackle the problems at the intersection of different domains, leading to the creation of Relyance AI. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Abhi is a 2X tech entrepreneur and machine learning expert. He spent most of his career building tech and go-to-market for products involving compilers, real-time/large-scale data processing, machine learning, and observability tools for continuous visibility into data flows. Given his work in compilers, Abhi became obsessed with simplifying the expressibility of data-processing intent while automatically synthesizing data types, computation intent, call graphs, and data flows in applications and machine learning models. In 2019, he started advising first-time founders on product/go-to-market and was a technologist-in-residence in venture capital. During this time, he was actively exploring how extreme domain specializations in various industries could slow down the speed of innovation, cross-pollination of ideas, and thus human progress overall. Show Notes: 02:26 Applications and entrepreneurship background 05:25 Different applications of machine learning on previous startups 07:11 How Relyance founded a solution to a privacy problem 09:23 Exploring the challenges of privacy and data governance 11:25 Addressing the challenges of data privacy compliance 15:35 Regulatory penalties faced by tech companies 17:53 Discussion on the growing importance of data privacy regulation 21:01 Privacy regulatory enforcement and Relyance solution to assist customers 24:34 Challenges of building a privacy program 29:32 Benefits of machine learning for data protection compliance 32:46 Leveraging public data and machine learning to provide timely value 36:01 Relyance AI foundational modes and defensibility strategies 41:04 Attracting top talent in AI/ML and hiring for data science and machine learning projects 46:57 How to get in contact with the Relyance team Resources: Company website: LinkedIn: Twitter:


Voice Moderation: Fighting Toxic Online Behavior with AI | Mike Pappas, Modulate.

Many game studios and developers are aware of the toxicity and harassment happening in their games and have put what’s known as “reactive moderation” measures in place as a response. Built on advanced machine learning technology and designed with player safety and privacy in mind, ToxMod triages voice chat to flag bad behavior, analyzes the nuances of each conversation to determine toxicity, and enables moderators to respond quickly to each incident by supplying relevant and accurate context. In this episode, we sit with Mike Pappas, CEO/Co-founder of Modulate. Mike shares his journey from studying physics and applied mathematics in college to working in the hedge fund industry, before eventually co-founding Modulate. He discusses the importance of math in the development of artificial intelligence and the unique experience he had during his interview with Bridgewater Associates, emphasizing the significance of openness and transparency in the hiring process. Throughout the conversation, Darius and Mike dive into the potential risks and benefits of AI, its impact on various industries, and the importance of culture and diversity in the tech industry. They also touch on Mike's passions for group dynamics and video games, providing a unique perspective on the intersection of technology and human experience. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Mike Pappas is the CEO/Co-founder of Modulate, which uses machine learning to help make online voice chat safe, inclusive, and more immersive. Mike’s work at Modulate ranges from developing new partnerships within the industry, monitoring trends and new opportunities for Modulate’s unique technology to have a positive impact, and reinforcing an internal and external culture of passion, respect, and personal growth. Mike graduated from MIT with a BS in Physics and Applied Mathematics in 2014. Before Modulate, Mike spent time at Bridgewater Associates working on cloud technology until joining Lola Travel as an early employee to learn more about building a startup from an experienced entrepreneur (CEO Paul English, who co-founded Outside of work, his passions include philosophizing about group cultures and dynamics, video games, and creating experimental cocktails. Show Notes: 02:00 Mike Pappas background and career paths 04:12 Role of applied mathematics in AI development 05:37 The importance of math in ai startups 09:03 Possibilities of real-time voice changing in online games 14:07 Exploring voice moderation solutions for gaming platforms 18:55 Discussion on go-to-market strategies 21:33 Understanding the complexities of selling to businesses 24:02 Benefits of AI-powered voice moderation for game studios 28:17 The challenges of building an ML team 30:26 Exploring the value of AI in moderating online platforms 34:22 Transformative potential of AI-powered voice chat moderation 36:42 Analysis of speech attacks and moderation of online games 42:16 Modulate early hiring and funding journey 44:32 Challenges of raising funding for an AI SaaS company 48:00 How to get in contact with the Modulate team Resources: Company website: LinkedIn: Twitter:


Leveraging AI to Bring Personalization to the Grocery Shopping Experience | Henry Michaelson, Halla AI

With the advent of online shopping, the supermarket industry is undergoing a major transformation. As more consumers shift to online grocery shopping, experts predict that it will make up 20% of all grocery shopping by 2026. In response, grocery stores are seeking innovative technologies to enhance the in-store experience and stay ahead of the competition. Today, we speak with Henry Michelson, Co-Founder and CTO of Halla IO. Halla is using AI to revolutionize personalization in grocery shopping. Its unique technology predicts shopper intent and recommends items they may want to purchase, offering true one-to-one personalization. Listen to this episode to learn more about the journey from idea to finished product, strategies for increasing profitability in online grocery shopping, and the benefits of enhanced shopping experiences. Henry also shares insights on building an AI product, hiring for data science teams, and starting a successful startup. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Henry Michaelson, is the Co-Founder, President and CTO of Halla IO. He has a background in Computer Science, Mathematics, and Cognitive Science. Henry has worked on a variety of projects that include a machine learning algorithm to classify supernovae for the UC Berkeley Astrophysics department. He patented an algorithm that has distributed over $7M in awards to mobile gamers. Henry is a member of Forbes Technology Council and a regular guest in magazines and podcasts on AI and retail innovation. Henry’s day-to-day involves constantly improving Halla’s machine learning algorithm and leading internal technology operations. Show Notes: 01:58 Background and how Halla was started 03:54 The journey from idea to finished product 07:00 A software company making taste intelligence solutions 08:54 Strategies to increase profitability in online grocery shopping 10:51 Consumer problems in grocery shopping experiences 13:00 Proprietary technology for grocery shopping recommendations 18:04 Benefits of enhanced grocery shopping experiences 20:00 Increasing profitability and acquiring data for knowledge graphs 25:49 Exploring grocery e-commerce innovations 31:29 Building an AI product: The process of architecting a ground-up project 36:09 Hiring seniority for data science teams 41:02 Exploring strategies for building a successful startup 42:31 How to get in contact with the Halla team Resources Company website: LinkedIn: Twitter:


Enabling Industrial Engineers to Optimize Operations via an Industrial AI Platform AI for Industrial | Humera Malik, Canvass AI

The use cases for AI are ever expanding, especially in sectors that typically wouldn’t have been known for using AI. For example, Canvass AI offers an Industrial AI platform that fast tracks operational efficiency, profitability, and sustainability goals for large scale oil and gas, chemical and manufacturing operations. In this episode, I sit with Humera Malik the founder and CEO of Canvass AI to discuss the growth of AI in the industrial sector, how the application of big data analytics is critical for businesses and her company’s fundraising success. Canvass is leveraging artificial intelligence to serve large scale oil and gas, chemical in manufacturing, operations. Their product is enabling complex troubleshooting, operational disruptions, early event detection and predictive maintenance. Founder Bio: Humera Malik is CEO of Canvass AI, a software provider that empowers industrial companies with AI to make faster data-driven operational decisions. Internationally, Ms. Malik is one of the leading voices in Artificial Intelligence and how it can help industries accelerate growth, augment human expertise, and achieve net-zero sustainability goals. Humera Malik is a recipient of the RBC Women of Influence Entrepreneur of the Year award and the Women of IoT/M2M award. She frequently speaks at industry conferences and has been featured in publications such as Bloomberg and Forbes. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Show Notes: 2:01 - How did Humera Malik become interested in Artificial Intelligence? 5:00 - What is Canvass and how does it serve the industrial engineering sector? 12:00 The early days of Canvass and the major use cases to drive impact for companies using this technology 16:55 - Where is Canvass today and how do customers interact with the software 21:22 - Building the team: the first employees, establishing a sound engineering organization 28:09 - Having the right mindset about building while being remote 30:42 - Working with the World Economic Forum's, global Innovators Community 34:35 - The fundraising process for Humera and Canvass 39:02 - The best way to get in contact with Humera Malik and Canvass Contact Humera Malik _ Learn more about Canvass _


Enterprise AI Infrastructure: Effectively Deploying AI Models Across Varied Environments | Adam Gibson, Konduit

Today, I sat with Adam Gibson, the founder of Konduit, who is building the tooling for AI development and model deployment. Konduit is on a mission to help run AI models where developers want them to run - whether that be in the cloud on premise, the edge, or mobile. Adam explains the new projects they are working on and the importance of the acceleration of AI adoption. Founder Bio: Adam Gibson is the creator of Deeplearning4j and Konduit serving. He has been focused on building open source AI infrastructure complimenting production deployments since 2013. Adam is a multi book author publishing for O’Reilly Media and Impress Japan. He is based in Japan and focuses on helping companies to strengthen their production deployments. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. Timestamps: 2:03 - How Adam got started 6:46 - In what ways are people deploying models for use cases 10:20 - The process of customizing a pre-built model 15:30 - Why the volume and quality of data impact the model 19:45 - What they are working on today Konduit Survey and Eclipse Deeplearning4j 23:37 - The challenges of deploying a model in various environments 27:58 - How is the adoption of AI being used globally to create a competitive advantage 33:09 - The importance of creating a talent pool that can accelerate the adoption of AI 37:30 - If you give people the ability to automatically generate models they will have tools without the discipline and instructions on how to use them and that is a problem 40:29 - How to find Adam Gibson Resources: Company website: LinkedIn: Facebook: Twitter:


Transitioning to Autonomous Mining with The Help of AI | Bibhrajit Halder, Safe AI

In this episode we sit with Bibhrajit Halder, Founder and CEO of SafeAI. SafeAI is leveraging artificial intelligence to enable the transition to autonomous mining in construction. They're retrofitting heavy vehicles in site operations with autonomous technology to enable a safer and more productive worksite. Bibhrajit is a seasoned operator and technologist in the AI space. He has led and supported AI initiatives at some of the world's largest companies, including Apple, Ford, and Caterpillar with a focus on autonomous solutions. He shares with us his deep understanding of AI technology, team building, and fundraising. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. 1:50 - Bibhrajit’s early career in autonomous vehicle technology 3:11 - Aspects of the mining industry that made it prime for autonomous vehicle technology 5:02 - History of AI technology and its development over the past 30 years 6:07 - Comparing and contrasting building AI technology within a corporation vs a startup 7:45 - Bibhrajit’s catalyst for starting the company and explaining the SafeAI product 13:00 - Understanding how safety precautions and accuracy rates are considered when building the product 17:47- The role that data plays in AI technology development and how they gathered the relevant data for their product 20:40 - Bibhrajit’s approach to team building and the importance of investing in young talent 24:20 - Understanding how they’ve approached international data regulations as they’ve scaled the product 26:41- How they work with customers to continuously improve the product 28:50 - Why enterprise’s turn to SafeAI vs trying to build similar products in house 32:02 - How users interact with the SafeAI product 34:50 - Bibhrajit’s fundraising process and growing investor interest in the AI space 40:00 - Skill sets and background of the founding SafeAI team 42:50 - What’s next for the SafeAI and how you can connect with the team


Conversational AI Purpose Built for Marketing Automation | Anu Shukla,

In this episode we sit with Anu Shukla, Co-founder and Executive Chairman of is a conversational marketing platform, enabling meaningful and intelligent conversations between businesses and their customers. Leveraging conversational AI, its platform, optimizes marketing performance by enabling businesses to create personalized experiences. Anu is a serial entrepreneur with 20 years of high-tech industry experience with multiple exits under her belt. She also founded Rubric, a software company that pioneered the enterprise marketing automation systems innovation that empowered teams to collaborate, plan, execute, manage, and measure marketing campaigns. She shares with us her approach to building solutions around specific problems, how to utilize customer relationships and public information to build foundational data sets for AI companies, and experience building multiple types of software and AI0-based companies. If your company is looking to scale its AI initiatives, head over to Tesoro AI ( We are experts in AI strategy, staff augmentation, and AI product development. 01:07 - Anu’s entrepreneurial career before starting and how she became one of the pioneers of marketing automation 06:53 - How Anu thinks about building a business that can be acquired vs building a team to solve a distinct problem 08:56 - How Anu approached the marketing automation problem and their solution 17:00 - Breaking down the interaction between user and the product 21:13 - How is differentiated from other conversational AI tools 25:21 - Understanding how’s customer relationships helped build the data behind their product 27:11 - Anu’s advice on how early stage companies can work with companies for valuable data sets or find solid alternatives 29:53 - Understanding the metrics enterprises wanted to see to drive the sale 36:12 - The differences between building a traditional software company vs an “AI company” 38:25 - Fundraising for a software company vs an AI company 39:10 - How to get in contact with Anu and the team