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Future of MLOps for Businesses Virtual Summit


Date: 24th August, 2022
Time - 1500 BST / 1000 ET


Overview For Future of MLOps for Businesses

The growing waves of digital innovation that are transforming market horizons are undoubtedly now some of the most focussed on points in emerging business tools. The automating capabilities of AI, Machine Learning (ML) and Deep Learning software, and other new tech innovations provide immense potential in optimising efficiency and productivity.

When considering MLOps, we are essentially referring to the procedures that allow connectivity between business operations and data asset assets. Through AI and ML, software for businesses can be trained and applied, through both supervised and unsupervised learning, and be collaborated with data science organisation sectors to analyse and manage facets such as production portfolios. MLOps incorporates this with DevOps i.e., the infrastrucutre in an organisation that guides and expedites the principles and practical application tools in service. Thus, as an intersection od DevOps, data science, and ML & AI, MLOps aims at providing powerful and efficient business solutions that can be seamlessly monitored and inferred upon by data science professionals.

MLOps and related frameworks, including open-source ML & AI platforms, are currently optimising their capabilities towards automation of labour, retraining, and optimising management and efficiency in lifecycles and release cycles. Future MLOps capabilities will possess greater range in analysis and reduction in bias, as smarter software works towards enhanced process development, as well as better adaptability towards version coding – so as to prevent redundancy and transferability issues between different code and projects – and better regulatory compliance. This exciting new digital field is set to explore the potential of automation in business processes, all the while ensuring organisation and asset security, while we strive towards future business horizons.

On this note, Group Futurista proudly announces its upcoming virtual summit: ‘Future of MLOps for Businesses.’

You can grab your passes right now for free!

What to Expect?


Connect, listen and learn with our live digital sessions.

Panel Discussions

Conversations and deliberations that are contagious


Network Digitally with industry leaders across the globe

Virtual one to one

Effective one-on-one meetings are a powerful tool to connect and close the deals with your leads.

Webinar Highlights

07+ Knowledge Sessions

The summit will consist of interesting web panel discussions, exclusive live fireside chats and engaging digital industry presentations. 

10+ Industry

Industry's thought leaders, decision-makers, and solution providers will gather virtually to discuss the latest trends, innovations, and technologies in the Artificial Intelligence Industry.


Congregation of industry's top-level executives and senior officials for knowledge sharing.

Discussion Points

Enhancing Leading MLOps Infrastructure to Get Models to Production Fast, with Optimised GPU Workloads at Scale.

Bringing Augmented Intelligence to All - Challenges and Advantages.

Is Experimental AI Dead? Long Live the New Data Stack.

MLOps Demystified: Machine Learning Operations in Action

Topic We Cover

Augmented Intelligence

Data Engineering

Machine Learning


Decision Intelligence

Trusted AI

Explainable AI

GPU Acceleration

AI Cloud Platform

Automated Machine

Cognitive Computing

Governance and Monitoring

Explainability and Transparency

Data Quality




Financial services





Oil and Gas

Public Sector


Consumer Products

Who should attend?

Job Titles

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

  • Artificial Intelligence
  • Machine Learning Ops
  • Big Data
  • Technology
  • Data Analytics
  • AI & Engineering
  • Decision Intelligence
  • Data Innovation
  • Real-Time Decision Intelligence
  • Digitalization
  • Augmented Intelligence
  • Data Engineering
  • Business Intelligence Platforms
  • Data Visualisation Engineering
  • Cloud & Data Analytics
  • Data Engineering & Governance



Frequently asked question

Absolutely. We are counting on you to invite others! Help us spread the word. You can simply share the link to this page, and they can register at their convenience.