Future of MLops for Businesses Summit

#FOML2024

Date - 24th October, 2024
Time - 9:00 AM PST
Venue - Hilton San Francisco Union Square, USA

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About The Future of MLops for Businesses Summit


The Future of MLops for Businesses Summit is an informative summit that brings together industry leaders, tech innovators, and customer experience experts. Here, Attendees can expect to learn from industry experts about cutting-edge use cases, implementation strategies, and best practices for leveraging these technologies to enhance customer engagement, streamline operations, and drive business growth. With interactive & engaging keynotes, and plenty of networking opportunities, this summit is the perfect place to discover how the Future of MLops for Businesses Summit can transform the way your business operates.

Accelerated Time-to-Market with Continuous Integration and Deployment

MLOps streamlines the entire machine learning lifecycle, from development to deployment, by integrating Continuous Integration/Continuous Deployment (CI/CD) pipelines. This enables businesses to rapidly iterate on models and push updates in real time, significantly reducing the time-to-market for AI-driven products. With automated testing and monitoring, MLOps ensures that models are not only deployed faster but also more reliably, allowing businesses to quickly respond to market changes and customer demands with up-to-date, robust solutions.

Enhanced Collaboration Between Data Scientists and Operations Teams

MLOps fosters a collaborative environment where data scientists and operations teams work in unison, breaking down silos that traditionally hindered model deployment. By providing a shared framework for development, testing, and monitoring, MLOps aligns the goals of both teams, ensuring that models are production-ready and meet operational standards. This alignment leads to more efficient resource use, reduced friction during deployment, and models that are better suited to real-world conditions, ultimately driving more value for the business.

Scalable Model Management and Governance

With MLOps, businesses can effectively manage and scale the deployment of multiple machine learning models across diverse environments. It provides robust version control, model tracking, and automated workflows, ensuring that models are consistently updated and maintained throughout their lifecycle. This scalability is crucial for businesses dealing with large datasets and complex models, as it ensures that all models adhere to governance policies, regulatory requirements, and performance standards, thereby mitigating risks and enhancing the overall reliability of AI initiatives.

Speakers

Here are some of our Confirmed speakers

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Past Sponsors

Exclusive Sponsor

Silver Sponsor

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Why Attend

Comprehensive Agenda

Innovative keynotes delivered by the industry's true heavyweights, covering practical challenges and subjects which are exclusively entailed in our agenda. Gain subject matter expertise, network, and collaborate to explore solutions that shed light on future business models impacting revenue inflows.

Boost your Business

Futurista Start-up Elevate is a dedicated platform for Startups and VCs. We offer industry-specific startups a showcasing opportunity, enabling them to connect with corresponding VCs and Mentors. A win-win dynamic is created to attain the desired exposure for startups who are looking forward to scaling up their businesses.

Intelligent Event Experience

A smart application will help you connect with key decision makers, share files, brainstorm ideas, and have a seamless networking experience. A comprehensive module covering the entire event, compiled for training purposes, to be made available post-conference, exclusively for the attendees.

Who Should Attend


CXO, Director, VP, Head, Manager, Specialist of -

  • Advanced Analytics & MLOps
  • MLOps
  • Data Analytics
  • AI Consulting
  • Data & Analytic
  • Data & Analytic
  • Data Engineering
  • Data Scientist
  • Route Optimization
  • Predictive Services
  • Big Data Architect
  • Open Source, MLOps
  • AI Product Marketing
  • Connected Data Science & MLOps

Topics We Cover

Self-Service Data Science

Open Data Science

Model Risk Management

Cloud Data Science

Data Science Productivity

Data Scaling

Model Velocity

Governance and Standardization

DataFlow

Stream Processing

Data Engineering

Data Warehouse

Operational Database

Machine Learning

Data Hub

Industries

Banking

Financial Services

Insurance

IT

Manufacturing

Pharmaceutical

Healthcare

Software

Automobile

Why Sponsor

Why Us

Futurista Startup Elevate

Event Venue

Event venue location info

Join us in Hilton San Francisco Union Square, USA on the 24th October, 2024

Past Sponsor

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