Artificial intelligence and machine learning (AI/ML) continue to rapidly enable exciting new business capabilities. But properly protecting sensitive AI/ML data within existing tech stacks remains a top concern for development and testing teams worldwide.
We surveyed 200+ global leaders in The State of Data Compliance and Security Report about their concerns around compliance and privacy for data in AI environments. 68% of respondents perceive a lack of solutions to tackle data privacy in AI environments. But employing certain practices can alleviate AI/ML data fears.
In this webinar, three Perforce experts explained the best practices for protecting AI/ML data and ensuring it meets compliance and security protocols. They also discussed top AI/ML data concerns among enterprises and how to efficiently address them.
Watch the webinar to learn how to overcome these challenges in AI/ML environments:
Ensuring AI/ML data meets regulatory compliance requirements of laws such as GDPR, CCPA, HIPAA, and more
Mitigating AI/ML data theft and data leakage risks
Efficiently sending and sharing sensitive AI/ML data while keeping it protected
Don’t miss this key opportunity to learn how to safeguard your organization’s valuable, sensitive AI/ML data. Watch the recording today!
Rod Cope is the CTO of Perforce Software. He provides technical vision and architectural leadership for the company’s globally distributed development teams. Rod has led the Perforce AI/ML for the past four years, and he also created and chairs Perforce’s AI Innovation Council, which spans all functions of the business. Rod came to Perforce from Rogue Wave Software, where he was CTO. He was also the Founder and CTO of OpenLogic, a profitable venture-backed company in the open source space, and he joined Rogue Wave as CTO following the acquisition. Previously in his 25+ year software career, Rod worked at IBM, IBM Global Services, General Electric, and for the CTO of Anthem. Rod has also been involved with AI on the technology side since 1991. He has spoken on technical and business topics at dozens of conferences around the world, including JavaOne, OSCON, Embedded World, ApacheCon, Strata/Big Data, LinuxCon, and API World.
Roberto Seminario is a product manager at Delphix focusing on compliance and automation of Cloud and SaaS data. He is responsible for Delphix Compliance Services. Previous to Delphix, Roberto was a product manager in high-growth data startup C3.ai and an investment banker at Credit Suisse. Roberto holds an MBA from Stanford Graduate School of Business, and is pursuing a Master's degree in Computer Science from Georgia Tech.
Steve Karam is an enterprise technologist and outcome-driven leader with diverse expertise in customer success, product management and engineering, education, SaaS, cloud, data technologies including AI/ML and natural language processing, and beyond across nearly every market vertical. A restless and relentless learner and advocate for personal and team growth who works primarily with federal, financial services, and healthcare organizations within Perforce. In the technical arena Steve is proficient or expert level with cloud architecture, multiple RDBMS, NoSQL, multiple programming languages including Python and React, common DevOps & SDLC tools, AI/ML, SaaS architecture, blockchain, data analytics, and several other topics.