• Data-driven innovation with Krishnan Venkata

  • Jun 24 2024
  • Length: 37 mins
  • Podcast

Data-driven innovation with Krishnan Venkata By cover art

Data-driven innovation with Krishnan Venkata

Listen for free

View show details

  • Summary

  • In this episode of Innovation Talks, we dive into the intricate world of data-driven innovation. I have the pleasure of speaking with Krishnan Venkata, who sheds light on the potential value of mining various data sources, from research and development to consumer feedback. We explore how harnessing internal and external data, including insights from the web like blogs and forums, can revolutionize how companies understand and respond to consumer preferences.Krishnan Venkata is the Chief Client Officer at Latent View Analytics, a firm dedicated to maximizing the value of data for decision-making. With a technology and knowledge services background, Krishnan advises early-stage tech companies on growth strategies. Originally from India and currently based in Seattle, Washington, Krishnan brings an international perspective to the conversation. His journey from a small startup to leading a team of 1500 at Latent View Analytics speaks volumes about his commitment to leveraging analytics for innovation."Mining external data sources like blogs, forums, and reviews is essential to truly understand and anticipate consumer preferences." ~ Krishnan VenkataToday on Innovation Talks:The value of mining diverse data sources: Learn how data from R&D, patents, chemical formulations, and consumer feedback can provide unique insights.Importance of external data: Discover how blogs, forums, and online reviews reveal consumer preferences and trends.Recognizing the challenge of data silos: Understand why data being confined within departmental boundaries hampers actionable insights.Actionable insights in practice: Real-world examples highlight the importance of taking steps based on predictive insights, such as managing inventory.Generative AI for insights: Explore how AI can generate and alert you to potential decisions, starting with moderate accuracy and improving over time.Identifying AI use cases: Address organizations' struggle to pinpoint where AI can truly add value.Overcoming the fear of failure: Recognize the necessity of experimentation and the readiness to fail fast, learning along the way.Collaboration and data sharing: Grasp the shift towards collaborative innovation and the mutual trust required for data sharing within supply chains.Contact Krishnan:LinkedInLatent View AnalyticsResources Mentioned:Latent View Analytics: Specializing in maximizing data value and analytics for decision-making.“Smart Innovation” Platform: A tool by Latent View Analytics that helps predict and leverage market trends.Ready to Transform Your Innovation Strategy?If you're a product manager or innovator looking to streamline your processes and turn chaos into control, you won't want to miss this opportunity.Dive into our exclusive, free eBook on Innovation Ops strategies designed just for you.Learn the secrets to revolutionizing your approach and achieving success with clarity and precision.Download your copy today.Start your journey to becoming an innovation powerhouse now! This Podcast is brought to you by SopheonThanks for tuning into this week’s episode of Innovation Talks. If you enjoyed this episode, please subscribe and leave a review wherever you get your podcasts. Apple Podcasts | TuneIn | Stitcher | Spotify | iHeart Be sure to connect with us on Facebook, Twitter, and LinkedIn, and share your favorite episodes on social media to help us reach more listeners like you.For additional information about new product development or corporate innovation, sign up for Sopheon’s monthly newsletter, where we share news and industry best practices! The fastest way to do this is to go to sopheon.com and click here.
    Show more Show less
activate_primeday_promo_in_buybox_DT
Management Economics
Show more Show less

What listeners say about Data-driven innovation with Krishnan Venkata

Average customer ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.com reviews

Amazon reviews
No Reviews are Available