AI Tech

ModelOp Extends Automation and Governance for AI and Machine Learning Models

ModelOp, the pioneer of ModelOps software for large enterprises, today announced significant updates to the ModelOp Center platform, expanding automation for governing and tracking artificial intelligence (AI) and machine learning (ML) models, making it simpler and quicker to efficiently deploy models and recognize the business benefit and revenue contribution.

“Enterprises have made significant investments in their existing IT and governance processes and systems. “It is critical to integrate with these processes and systems to bring models into business quicker and ensure they continue to achieve desired business outcomes,” says Dave Trier, Vice President of Product at ModelOp. “Integration of existing systems eliminates technological and workflow redundancy and enables enterprises to capitalize on the significant investments they have already made in their data and analytics platforms, infrastructure, stores, and security systems.”

In the State of ModelOps 2021 Report, respondents identified a lack of integration with existing systems and applications as the most challenging barrier to operationalizing models. New capabilities included in the ModelOp Center upgrade include:

• Snowflake, SQL Server, PostgreSQL, IBM DB2, Spark, and HDFS integration enables direct data consumption from these commonly used data sources. ModelOp Center employs an abstraction layer that enables models to connect to a wide range of data sources and model execution sites for batch and online business use cases.

• Integration with Vericode allows automatic code scanning for assurance of code completeness for and every model when implemented.

• Integration with Vault provides unified access control to models and the applications, data sources, and systems with which they interact during their operational life.

• An improved user interfaces with guided task lists, allowing a wider range of users with varying levels of expertise to conveniently track and govern models during their operating existence.

If enterprises increase their use of AI models, they quickly understand that ModelOps automation is needed to scale and develop their AI efforts. According to Gartner, more than half of AI models are never completely deployed due to insufficient model operational processes.

ModelOp Center solves this problem by automating the governance, tracking, and orchestration of post-development AI/ML models across platforms and teams, lowering costs and business risks, and speeding time to production.

A comprehensive process library, customized metadata, and reporting models will reduce time to operationalization by up to 50%. Customers can benefit from real-time tracking and integration of development platforms, data sources, IT systems, Model Risk Management systems, and enterprise apps to simplify and scale AI and ML models, reducing costs by up to 30%.

About ModelOp

ModelOp, the ModelOps software leader, enables large enterprises to solve the crucial governance and scale complexities required to fully achieve the transformative potential of enterprise AI and Machine Learning investments. G2000 companies use ModelOp Center, which is at the heart of every AI orchestration platform, to govern, track, and orchestrate models around the enterprise and deliver reliable, compliant, and scalable AI initiatives.

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AI and Big Data Expo North America announces leading Speaker Lineup

TechEx Events | March 07, 2024

AI and Big Data Expo North America announces new speakers! SANTA CLARA, CALIFORNIA, UNITED STATES, February 26, 2024 /EINPresswire.com/ -- TheAI and Big Expo North America, the leading event for Enterprise AI, Machine Learning, Security, Ethical AI, Deep Learning, Data Ecosystems, and NLP, has announced a fresh cohort of distinguishedspeakersfor its upcoming conference at the Santa Clara Convention Center on June 5-6, 2024. Some of the top industry speakers set to take the stage are: - Sam Hamilton - Head of Data & AI – Visa - Dr Astha Purohit - Director - Product (Tech) Ops – Walmart - Noorddin Taj - Head of Architecture and Design of Intelligent Operations - BP - Temi Odesanya - Director - AI Governance Automation - Thomson Reuters - Katie Sanders - Assistant Vice President – Tech - Union Pacific Railroad - Prasanth Nandanuru – SVP - Wells Fargo - Rodney Brooks - Professor Emeritus - MIT These esteemed speakers bring a wealth of knowledge and expertise to an already impressive lineup, promising attendees a truly enlightening experience. In addition to the speakers, theAI and Big Data Expo North Americawill feature a series of presentations covering a diverse range of topics in AI and Big Data exploring the latest innovations, implementations and strategies across a range of industries. Attendees can expect to gain valuable insights and practical strategies from presentations such as: How Gen AI Positively Augments Workforce Capabilities Trends in Computer Vision: Applications, Datasets, and Models Getting to Production-Ready: Challenges and Best Practices for Deploying AI Ensuring Your AI is Responsible and Ethical Mitigating Bias and Promoting Fairness in AI Systems Security Challenges in the Era of Gen AI and Data Science AI for Good: Social Impact and Ethics Selling Data Democratization to Executives Spreading Data Insights across the Business Barriers to Overcome: People, Processes, and Technology Optimizing the Customer Experience with AI Using AI to Drive Growth in a Regulated Industry Building an MLOps Foundation for AI at Scale The Expo offers a platform for exploration and discovery, showcasing how cutting-edge technologies are reshaping a myriad of industries, including manufacturing, transport, supply chain, government, legal sectors, financial services, energy, utilities, insurance, healthcare, retail, and more. Attendees will have the chance to witness firsthand the transformative power of AI and Big Data across various sectors, gaining insights that are crucial for staying ahead in today's rapidly evolving technological landscape. Anticipating a turnout of over 7000 attendees and featuring 200 speakers across various tracks, AI and Big Data Expo North America offers a unique opportunity for CTO’s, CDO’s, CIO’s , Heads of IOT, AI /ML, IT Directors and tech enthusiasts to stay abreast of the latest trends and innovations in AI, Big Data and related technologies. Organized by TechEx Events, the conference will also feature six co-located events, including the IoT Tech Expo, Intelligent Automation Conference, Cyber Security & Cloud Congress, Digital Transformation Week, and Edge Computing Expo, ensuring a comprehensive exploration of the technological landscape. Attendees can choose from various ticket options, providing access to engaging sessions, the bustling expo floor, premium tracks featuring industry leaders, a VIP networking party, and a sophisticated networking app facilitating connections ahead of the event. Secure your ticket with a 25% discount on tickets, available until March 31st, 2024. Save up to $300 on your ticket and be part of the conversation shaping the future of AI and Big Data technologies. For more information and to secure your place at AI and Big Data Expo North America, please visit https://www.ai-expo.net/northamerica/. About AI and Big Data Expo North America: The AI and Big Data Expo North America is a leading event in the AI and Big Data landscape, serving as a nexus for professionals, industry experts, and enthusiasts to explore and navigate the ever-evolving technological frontier. Through its focus on education, networking, and collaboration, the Expo continues to be a beacon for those eager to stay at the forefront of technological innovation. “AI and Big Data Expo North Americais a part ofTechEx. For more information regardingTechExplease see onlinehere.”

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