53 episodes

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 Darius Gant Show Darius Gant

    • Technology
    • 5.0 • 6 Ratings

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.

    Automating Ultrasound Imaging Analysis | Hila Goldman, DiA Imaging Analysis

    Automating Ultrasound Imaging Analysis | Hila Goldman, DiA Imaging Analysis

    In this episode, we sit with Hila Goldman Aslan, Co-Founder and CEO of DIA analysis. DIA analysis leverages artificial intelligence to analyze ultrasound images.  Historically, this been a complex, manual process requiring trained professionals.  With the help of AI/automation, Hila and her team are enabling fast and accurate analysis with users of various levels of experience.
     
    Hila is a former lawyer who has spent several years advising startups. She's quickly becoming a leader in AI health tech and is leveraging her business acumen to help DiA Analysis grow its base of commercial partnerships.
     
    If your company is looking to scale it’s AI initiatives, head over to Tesoro AI (www.tesoroai.com) – experts in AI strategy, staff augmentation, and AI product development.
     
    Timestamps:
    2:04  Hila’s background as a lawyer and her transition to DiA Analysis and data science
    5:31  What is DiA Analysis?
    6:11  Discovering a use case for automation and AI in ultrasounds
    11:32  Simplifying ultrasound analysis via automation
    13:30  Gathering the quantity and quality of data needed to build an AI solution
    15:25  Identifying data partners, label automation tools and talent
    18:16  Prediction accuracy and winning the trust of physicians
    21:00  The importance of setting customer expectations to drive product engagement
    24:30  Go to Market | Leveraging channel partners to break into the market
    31:08  How COVID accelerated the adoption and increased demand for AI
    33:50  The fundraising journey of DIA analysis | Rasing $25mm
    36:30  New product and features coming out for DIA analysis

    • 38 min
    Optimizing Ad -Driven Growth with Artificial Intelligence | ZeZe Peters, Beam City

    Optimizing Ad -Driven Growth with Artificial Intelligence | ZeZe Peters, Beam City

    In this episode we sit with ZeZe Peters, Founder of Beam City, a unified advertising automation platform that uses AI to help businesses. Beam City plans and optimizes ads across all top ad channels.
    ZeZe and I discuss several topics related to building and launching an AI product, building effective teams, how the pandemic shifted the conversation around adtech, and much much more
     If your company is looking to scale it’s AI initiatives, head over to Tesoro AI (www.tesoroai.com) – experts in AI strategy, staff augmentation, and AI product development.
    Timestamps:
    1:57 Background is in aerospace engineering at Cornell University
    2:48 Before launching Beam City | A product engineering expert for Fortune 1000
    4:58 Discovering pain points and the value of automation in advertising
    6:26 How the Beam City platform works
    7:45 How Beam City is applying AI ad automation
    9:40 The impact of Covid on the AdTech market and how Beam City is positioned
    14:02 Go-to-market strategy | Finding early traction with businesses that understand adtech
    15:29 How ZeZe approached building the first version of Beam City
    19:30 How ZeZe’s previous experience in product development helped hire the right initial team
    22:20 Determining what accuracy rate makes the most sense for their AI predictions
    27:12 Building a startup as a solo Founder + the importance of experienced mentors
    32:32  How to keep up with ZeZe and his journey with Beam City

    • 34 min
    The Xs and Os of building and enduring, high ROI AI product | Babak Hodjat, Cognizant

    The Xs and Os of building and enduring, high ROI AI product | Babak Hodjat, Cognizant

    This episode is action packed with advice on standing up a commercially viable AI product.  Our guest, Babak Hodjat (CTO of AI, Cognizant), is an incredibly successful AI founder with multiple successful exits.  Lucky for us, he also touches on some of his failures and challenges faced when building AI.  This is a must listen for anyone building AI products or teams internally.  
    If you are inspired by this episode, be sure to go check out Babak’s new book “The Konar and the Apple”.
     
    If your company is looking to scale it’s AI initiatives, head over to Tesoro AI (www.tesoroai.com) – experts in AI strategy, staff augmentation, and AI product development.
     
    Timestamps:
    2:00  Babak’s experiences as a serial AI entrepreneur | Inspiring the natural language tech behind Siri
    6:49  How Babak’s startup caught the interest of Marc Benioff and Sybase
    8:52 A hedge fund innovator | Why AI has played a large role in stock market/trading related use cases
    14:32  Babak’s role as CTO of AI at Cognizant | moving from research to commercial products
    16:28  Measuring the impact/ROI of AI when feedback is not immediate
    21:00  A starting point for making AI-driven decisions when there is little data
    24:42  Unexpected challenges and opportunities when AI and humans work together
    26:40  AI is not about big data, it’s about good data
    31:40  How startups with no data can build a differentiated AI-native product
    34:05  How your approach to delivering an AI prediction can be your sustainable competitive advantage
    39:20  Identifying AI talent that can translate knowledge from academia to pragmatic problem solving
    44:32  Check out Babak’s new book! The Konar and the Apple

    • 46 min
    Maximizing Production Quality and Cost Efficiencies in Manufacturing | Greta Cutulenco, Acerta

    Maximizing Production Quality and Cost Efficiencies in Manufacturing | Greta Cutulenco, Acerta

    Manufacturing is an industry that has taken early interest in the promise that artificial intelligence will deliver massive productivity gains.  Sectors such as autonomous vehicles are generating massive amounts of data that can be used to improve production and vehicle safety, reduce part recalls, and optimize costs using AI.
     
    In this episode, we sit with Greta Cutulenco (Founder and CEO of Acerta Analytics).  Greta has been recognized as a member of Forbes 30 Under 30 in manufacturing.  Launching her startup in Waterloo, Canada, Greta and her team of 40 are enabling hyper focused on improving manufacturing quality using artificial intelligence.
     
    If your company is looking to scale it’s AI initiatives, head over to Tesoro AI (www.tesoroai.com) – experts in AI strategy, staff augmentation, and AI product development.
     
    Timestamps:
    1:30  Early experience with autonomous vehicles + leveraging AI to improve manufacturing quality
    4:00  Benefits of launching a startup in collaboration with a University: talent, data, trust
    8:24  What is Acerta and why is it valuable?
    10:00  How manufactures currently analyze machine generated data
    14:05  How Acerta works with customer to collect data to drive analytics
    19:47  Starting with zero data and finding partners to share data to build AI
    24:05  Evolving from a University project to startup/commercial product
    26:50  Establishing the initial team
    28:30  Managing customer conversation in precision manufacturing
    32:10  Adjusting to dynamic environments and data when operationalizing an AI model
    37:30  Getting customers manufacturing operators to trust AI
    43:20  The difference in fundraising as an AI startup vs traditional software

    • 50 min
    Leveraging AI to Optimize Executive Decision Making through Advance Search | Leigh Fatzinger, Turbine Labs

    Leveraging AI to Optimize Executive Decision Making through Advance Search | Leigh Fatzinger, Turbine Labs

    Google is the king of search.  But, is it the right search platform to use across all use cases?  Today’s guest, Leigh Fatzinger (Founder, Turbine Labs) explains why and how executive decision making requires a more contextually relevant solution.   
    SEO and ad spend can reduce the relevancy of information served up to executives while they are trying to make critical business decisions.  Turbine Labs has built a platform that removes those elements of search and remains hyper focused on providing the necessary information to help make business decisions quickly.
     
    If your company is looking to scale it’s AI initiatives, head over to Tesoro AI (www.tesoroai.com) – experts in AI strategy, staff augmentation, and AI product development.
     
    TimeStamps:
    1:38  Leigh’s background and lead up to building Turbine Labs
    3:08 Scaling Business Intelligence – Discovering AI as a tool to automate business processes
    8:22  Example – Executive decision making | A once manual process automated by AI
    12:26  Reducing mundane work for talented business analysts
    16:25  Differentiation: Why Google search is not sufficient for executive decision making support
    23:00  How Turbine Labs is used by executives
    26:48  Acquiring enough data to train an ML algorithm
    30:10  Turbine Labs’ approach to data labeling
    35:22  Thinking through AI infrastructure as a non-technical AI Founder
    38:21  Customer Conversations | What do customers care most about?
    42:10  Explaining ROI through engagement metrics

    • 48 min
    From 0 to Unicorn in 5 Years. Building an AI-Driven Transcriptions and Captioning Platform | Tom Livne, Verbit

    From 0 to Unicorn in 5 Years. Building an AI-Driven Transcriptions and Captioning Platform | Tom Livne, Verbit

    Recently valued at $2 billion, Verbit is the latest AI-platform to reach unicorn status.  The startup has grown to $100mm in annual recurring revenue in only five years through its AI-driven transcription and captioning platform. 
     
    In this episode we sit with Tom Livne, Founder and CEO, to discuss several topics including how he leveraged the gig economy to build a more powerful AI product, growth through acquisition, how a vertical focus can drive better predictions, and much more.
     
    If your company is looking to scale it’s AI initiatives, head over to Tesoro AI (www.tesoroai.com) – experts in AI strategy, staff augmentation, and AI product development.
     
    Timestamps:
    1:36  Verbit receives $2B valuation on 6x year over year growth
    2:30  Tom’s journey from military special forces to law to tech entrepreneur
    5:25  The Genesis of Verbit: discovering the challenges behind transcription editing
    9:20 Use cases for Verbit’s transcription automation services
    13:15  Recruiting a technical cofounder to be the brains behind the AI
    16:06  How Verbit works
    18:15  Determining a suitable accuracy rate for Verbit’s AI-driven predictions
    X20:15  How a focus on specific verticals impacted go-to-market and improved prediction capabilities
    24:30  Building out a 35K freelance network of transcriptionists
    27:35  Getting access to date to build an AI product
    28:45  How Verbit acquired its first few customers + finding product market fit
    34:12  Verbit raises $250mm Series E  and its plans for growth
    35:53  A sneak peek into upcoming products
    38:00  How Tom thinks about AI talent at Verbit
    40:30 Growth via acquisition of mom and pop transcription services

    • 43 min

Customer Reviews

5.0 out of 5
6 Ratings

6 Ratings

coombscpa ,

Great Podcast

Phenomenal interviewer , love this podcast!