Discussion Topics

An Exclusive, Technology Leadership Round Table with Banking & Financial Services Enterprise Leaders discussing Data Science Platforms as a Cornerstone for Transforming theoretical potential into business outcomes.

Moving beyond isolated experimentation and delivering data-driven applications that successfully leverage artificial intelligence and machine learning models to accelerate innovation and collaboration for your organization.

Dear Enterprise Technology Leaders,

Imagine a groundbreaking Lifetime Value model, meticulously crafted from your financial institution’s data, poised to  transform how you engage with your customers. This advanced model not only predicts the potential value of customers throughout their relationship with your bank but also identifies key opportunities for enhancing their experience and  approach to customer retention. But it languishes in a spreadsheet, never impacting a single business decision. This scenario, sadly, is common with a staggering 87% of data science projects never reaching production, hindering innovation and wasting resources.  

This startling statistic highlights the challenges many financial services providers face in turning promising data science initiatives into real-world applications.  Imagine investing time, talent and money into developing a cutting-edge machine learning model, only to see it stall in the development phase, due to complexities in data quality, deployment or validation, combined with the stringent requirements for regulatory compliance and risk management.

Join us on  18th June 2024 from 6:00 P.M. to 8.30 P.M. at Jio World Convention Centre,  BKC, Mumbai for an invite-only Round Table Discussion with Data, Analytics, Platform and Engineering leaders. Learn & Share with Industry Leader Peers as well as Leading Experts from VMware Tanzu why data science platforms have emerged as a cornerstone for transforming theoretical potential into tangible business outcomes. 

DISCUSSION TOPICS

  • Data Science Platforms As A Catalyst For Transforming Theoretical Potential Into Business Outcomes.

  • Delivering Data-Driven Applications That Successfully Leverage AI and ML Models To Accelerate Innovation And Collaboration For Your Organization.

Driving AI Adoption With Secure Technology Foundations

  • Choice and Flexibility: How can organizations enable data science teams to adopt the most effective tools with robust open-source integrations and comprehensive support?
  • Cross-Team Collaboration: What strategies can organizations implement to enhance coordination and streamline handoffs between data scientists, engineers, and business stakeholders to foster a more collaborative environment?
  • Security Hardening Throughout the AI/ML Journey: How can organizations effectively manage increased security threats in AI/ML environments by implementing standardized hardening protocols across models, virtual machines, and applications?


Enabling Leaders to Scale AI Innovation

  • Empowering Data Science Teams: How can organizations improve the accuracy and effectiveness of their models to drive superior outcomes in critical business applications?
  • Enhancing Data Science Teams with Advanced Tools: What are the best practices for equipping data scientists with tools like MLBot to automatically select the most suitable algorithms for specific datasets and model objectives, thereby streamlining the model development process?
  • Building a Robust Data Platform: How can organizations develop a data platform capable of managing enterprise data at a petabyte scale, tailored to support complex and sophisticated AI tasks?
  • Secured Deployment for OSS LLMs: What are the key considerations for providing a secure and efficient pathway to production for deploying Open Source Language Models (OSS LLMs), including customizations tailored to enterprise needs and detailed fine-tuning for Retrieval-Augmented Generation (RAG) applications?

Distinguished Participating Leaders.

We will be publishing the List of Participating Leaders on the 30th of May 2024

Agenda

6:00 PM

Welcome & Networking

6:20 PM

Introduction & Context Setting

6:25 PM

PRESENTATION

Accelerating Analytics and AI Innovation in Financial Services |

Featuring Interactive Live Demonstration

Dr. Sala Muthukrishnan, Head of Data Solutions Engineering – APJ, VMware Tanzu

7:00 PM

Technology Leaders Roundtable Discussion with all participating Enterprise Leaders

8:30 PM

Enterprise Technology Leaders Networking Dinner

Confirm Participation

ABOUT THE ORGANIZERS & PRESENTERS

About VMware Tanzu
Tanzu empowers organizations to accelerate and optimize app delivery and analytics powered by AI / ML models across any cloud, at scale. We offer a cloud native application platform and next generation database capabilities that drive business agility with secure app delivery and access to AI / ML models, while automating app and platform operations and governance at scale across clouds.
 
About VAMRR 
VAMRR Technologies is focused on accelerating digital transformation via its two business segments.
  • Ecosystem Engagement via its conferences, roundtables, webinars and workshops.
  • Digitally Transformative Enterprise Training Solutions with Video, SCORM, 2D, 3D, VR & AR for all screens & devices.

Reach out to a@vamrr.in or visit https://vamrrtechnologies.com/ for details.

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