The Ravit Show

The Ravit Show

By Ravit JainTechnology
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The Ravit Show episodes

  • The Evolving Role of Chief Data Officers with Shayde, CDO, Cloudera

    🎙️ Exciting news! I recently had the privilege of interviewing Shayde Christian, CDAO & VP at Cloudera, on The Ravit Show. We delved into a fascinating discussion about the evolving role of Chief Data Officers (CDAOs) in today's data-driven world.

    The conversation was insightful, especially around the trend of CDAOs transitioning into more prominent business leadership roles. With Forbes likening CDAOs to CEOs and LinkedIn forecasting more CDAOs in CEO positions, it's clear we're witnessing a significant shift in the data leadership landscape.
    Key Highlights from our Talk:
    -- Contrasting thought processes of business-leaning vs. technology-leaning leaders
    -- How these leaders define success differently
    -- Language and motivations that drive these professionals
    -- Balancing tech engagement with executive interactions
    -- Importance of CDAOs maintaining engagement with senior executives and the challenges therein
    -- Critical role of storytelling in data leadership and its parallels with cinematic storytelling
    -- Practical steps for CDAOs aiming to transition towards more business-centric roles
    #data #datascience #cdo #cloudera #theravitshow

    25 min
  • Key challenges and trends that data leaders will face in 2024

    What are the key challenges and trends that data leaders will face in 2024? I had a great discussion with Patrik Liu Tran, Co-Founder & CEO of Validio, The Data Trust Platform!

    We explored the evolving role of AI in the data space, the persistent issues of organizational alignment, ROI on data investments, and the necessity for platforms that support AI and self-serve analytics.
    Patrik offered unique insights on 'GenAI' – particularly its role in content creation, AI-problem fit, and the intriguing concept of 'data debt', as opposed to financial debt or technical debt.
    We also delved into Validio's approach to overcoming data debt through their Data Trust workflow, emphasizing the importance of prioritizing, validating, and improving data.
    This strategy is essential for enabling AI use cases and building a data-led culture. Moreover, Patrik shared his thoughts on 2024 trends, highlighting the need for consolidation in data tools and the growing focus on meeting the diverse needs of data consumers, like scientists and analysts.
    Don't miss this episode full of invaluable insights for anyone in the data field!
    #data #datascience #dataobservability #validio #theravitshow #datatrustplatform

    25 min
  • Gartner Peer Community and 2024 Trends

    I interviewed my long time friend Peter from Gartner. Our conversation delved into the unique aspects of Gartner's offerings and what the future holds. Here's a glimpse into our insightful discussion:

    -- Why Gartner's Peer-Only Offering?
    -- GPC's Unique Edge
    -- GPC vs. Other Tools
    -- Peter's Enthusiasm for His Role
    -- 2024 Predictions and Current Buzz
    In conclusion, my conversation with Peter not only highlighted Gartner's unique approach to peer networking but also provided a glimpse into the exciting trends shaping our future!

    25 min
  • Data Infrastructure, GenAI and Data Predictions for 2024 with Jeff Denworth, Co-Founder of VAST Data

    Thrilled to share my recent interview with Jeff Denworth, the Co-Founder of VAST Data. We dove into the details of VAST Data's latest Series E funding round and explored the innovative strides they're making in the tech industry.

    Here's a sneak peek into our conversation:
    🔹 Understanding VAST Data
    🔹 Generative AI and VAST Data
    🔹 Redefining Data Infrastructure
    🔹 Series E Funding Insights
    🔹 What's Next for VAST Data?
    🔹 Data Predictions for 2024
    Despite being cash flow positive, VAST Data announced its Series E funding on December 7th -- https://lnkd.in/e9MK9Erf

    13 min
  • AI and Cloud Computing with Chris Morgan from VAST Data at the AWS Re: Invent conference

    I interviewed Chris Morgan from VAST Data at the Re: Invent conference. As a key player in the evolving world of AI and cloud computing, Vast Data is making significant strides in shaping the future of AIaaS (AI as a Service). Also, a big announcement by VAST Data is its newest software release, version 5.0, extending the capabilities of the VAST Data Platform with Amazon Web Services (AWS) to enable significant cloud cost savings of up to 80 percent.

    #data #datascience #aws #awsreinvent2023 #theravitshow

    10 min
  • Big Data, Data Engineering and Vast Data with Colleen Tartow, Field CTO and Head of Strategy, VAST Data at AWS Re: Invent

    So good to interview one of my favorite one and only, Colleen Tartow, Ph.D., Field CTO and Head of Strategy, VAST Data at AWS Re: Invent on The Ravit Show. Here's a glimpse of what we discussed:

    ✅ Big Data, Big Challenges, Big Fun
    ✅ VAST Data's Evolution
    ✅ Data Friction
    ✅ VAST 5.0: Elevating Cloud Capabilities
    ✅ Getting Started with VAST on AWS
    #data #datascience #aws #awsreinvent2023 #theravitshow

    10 min
  • Data & AI 2024 Trends with Nick Dobbin, Field CTO at Informatica during AWS Re: Invent

    Had a great interview with Nick Dobbins, Field CTO at Informatica at AWS Re: Invent. Nick shared invaluable insights on data engineering and AI. Here's a glimpse of our conversation:

    - The pivotal role of AI in enterprise success
    - The critical impact of data engineering on generative AI, and its evolution from traditional data management
    - Latest trends and use cases in data engineering
    - Innovations at Informatica to enhance productivity and optimize costs
    - Nick's final 2024 predictions
    #data #datascience #aws #awsreinvent2023 #theravitshow

    10 min

About The Ravit Show

From the publisher's feed

The Ravit Show aims to interview interesting guests, panels, companies and help the community to gain valuable insights and trends in the Data Science and AI space! The show has CEOs, CTOs, Professors, Tech Authors, Data Scientists, Data Engineers, Data Analysts and many more from the industry and academia side.