Powers full lifecycle AI management from data exploration to modeling to production – MLOps, ModelOps, Edge Analytics and DataOps
iFusion.ai platform accelerates the application of AI, ML and Analytics for Businesses in the Cognitive Era. iFusion.ai is an Autonomous AI platform that enables self-driven and sustainable enterprise AI adoption for intelligent decision-making. In the series of blog posts that am putting together, I will articulate why and how Innominds-iFusion.ai is a compelling platform for enterprises and ISVs looking to take advantage of full life cycle AI management for a successful business.
Businesses of all sizes are looking to adopt AI in everyday processes as they realize its immense potential in transforming business outcomes. However, many are struggling to put it in action predominantly due to increasing data volume and complexity, and difficulty in integrating AI solutions with existing infrastructure. Unlike software deployment, deploying models does not end with provisioning infrastructure and copying code. They must be constantly monitored and regularly retrained as required. According to Gartner “Approximately half of all AI models never make it into production due to lack of ModelOps”.
From its inception to today, in the last 7 years, Innominds iFusion has come a long way in solving interesting problems and use cases transcending data, analytics and now enterprise AI. The architecture of the platform has always been evolving and supportive of what we believe is required for a seamless data orchestration to help effective business decision making and adding the AI layer to help make it even powerful.
Patents and thought leadership: Innominds iFusion has always been at the forefront of innovation and engineering excellence reflecting in the below patents the platform has already in place and many more in the process of being filed:
Data Scientists and ML Engineers: In need of a platform that would assist with data wrangling and ML Ops, which are the less enjoyable parts of their work. These users mostly depend on IT staff and data analysts to do these tasks.
Software Engineers: In need of a platform that helps with auto-selection of AI/ML algorithms and building models using one or more algorithms including hyperparameter tuning without user intervention.
Non-technical/Business Users: In need of an automated platform that would integrate machine learning services into an existing process or workflow to make effective insights and recommendations.
The updated version is a major evolution from the earlier Integrated Big Data as a Service (IBDaaS) platform which accelerated data value with out-of-the-box algorithms and business-first data pipelines but left the identification and model operations, maintenance and governance to data scientists. It had won the 2020 Data Breakthrough Award for the “Data Monitoring Solution of the Year” award.
The MLOps, ModelOps, Edge Analytics and DataOps in the new Enterprise version (Enterprise ModelOps) democratizes AI. This is in line with what Gartner says—"Creating a robust ModelOps framework in tandem with a DataOps framework in an organization reduces the impact of the top barriers to AI implementations”.
After production, the platform also continuously monitors the performance of models through data drifts and retrains the models when drifts are greater than the threshold. It uses guardrails to ensure that model predictions are explainable and consistent with human insights.
Apart from the iFusionTM Enterprise – ModelOps, the platform is available in two other editions –the Standard and the Edge platforms. The former is a machine learning studio for data scientists that helps with data wrangling, model development and analytics solutions building. The Edge platform enables businesses to unleash the power of data at the edge – fast, secure and at scale - by leveraging local compute and AI.
Incorporating Innominds iFusionTM predictive analytics technology into HID SAFE enables safer, more secure workplaces that meet the pandemic’s building occupancy mandates
iFusion technology has been fuelling major data and AI-powered projects in global enterprises. For example, it has been integrated into HID SAFE, Facility and Risk Analytics solution of the global identity solutions company, HID Global. The technology enables HID SAFE solution users to predict security events so they can improve the effectiveness, efficiency, and cost of their security operations. Read more about that here :
iFusion.ai reflects our commitment to furthering the Digital Next innovation agenda of businesses. It fills a deep-felt need in the market as large companies seek a platform to build cost-effective AI and analytics solutions to gain insights faster into data to make real-time decisions on operations or for mission-critical scenarios while ISVs need a plug and play platform that expedites the development of AI and analytics solution into their product. It also meets the needs of data scientists, citizen data scientists, and business users to help realize innovation dreams by building ML models in just a few clicks.
In the next series of blog posts, I would love to share some more insights about the platform, the use cases it has been solving, the customers it has been delighting, and the vision with which we are progressing. If you need a demo of the platform and how it works to enable Autonomous AI for the enterprise, write to marketing@innominds.com and visit www.ifusion.ai