Forcepoint | June 01, 2020
Global cybersecurity leader Forcepoint today announced Myrna Soto has joined the company as Forcepoint’s inaugural Chief Strategy and Trust Officer. In this newly-created role, Soto will serve as a strategic business and technology driver of the company’s enterprise vision, strategy and programs to protect people, critical data and IP both within the company and for thousands of Forcepoint customers around the globe. As Chief Strategy and Trust Officer, Soto will also serve as a global leader and champion for both the development and execution of strategic initiatives that continue to propel Forcepoint forward as the industry leader for user and data protection worldwide and global enterprises’ trusted cybersecurity partner of choice. In addition, she will also function as a member of Forcepoint’s Security Council.
Relativity | February 23, 2022
Relativity today announced its first annual list of AI Visionaries. From general counsel to data governance, privacy, compliance and diversity professionals, the list includes leaders who have taken seminal steps in advancing the use of AI particularly in business areas that have historically been slower to adopt new technologies.
I think what we are witnessing now will be seen as a turning point in history — the emergence of a dynamic group of AI Visionaries who are blazing a trail for AI adoption, particularly in functions where managing risk is a top priority and the approach to technology adoption has been more conservative, Today, we acknowledge these unsung heroes for their foresight and leadership in advancing the use of AI and propelling their organizations forward."
Mike Gamson, Chief Executive Officer at Relativity.
Some of the honorees on the list include Ruby Zefo (Chief Privacy Officer at Uber), Peter Lefkowitz (Vice President and Chief Digital Risk Officer at Citrix), Dan Cooperman (Former General Counsel at Apple and Oracle), Heather Sussman (Head of the Cyber, Privacy & Data Innovation Group at Orrick, Herrington & Sutcliffe), among many others. The complete list of 2022 AI Visionaries is available at theaivisionaries.com.
AI is probably the most efficient tool to help organizations turn massive amounts of 'senseless data' into more 'senseful data,' And if it's true that 'senseful data' is the new gold of the digital era, then the value of AI should not even be a question."
2022 AI Visionary honoree, Stefan John, Senior Vice President, BASF Corporation and General Counsel and Chief Compliance Officer of BASF North America.
Unstructured or semi-structured data is growing exponentially within enterprises, and a majority of data (80% to 90%, according to multiple analyst estimates) is unstructured. Relativity empowers its users to manage large volumes of complex unstructured data.
In May 2021, Relativity acquired Text IQ, a Top 100 AI company. Since then, the company is making significant investments in bringing the benefits of AI to its customers and accelerating the rate of AI adoption in the industries that it serves.
As AI increasingly becomes a part of Relativity's focus, the company is equally committed to setting a precedent for the ethical use of AI especially at a time when there is growing concern around issues such as coded bias. For instance, Relativity is working with Ballard Spahr on building an Unconscious Bias Detector, which utilizes AI to surface instances of biases related to ethnicity, gender, sexual orientation, etc. in performance reviews.
The opportunity to leverage AI to bring unconscious bias to the surface can have a significant impact on creating a more equitable, fair performance review process, Ballard Spahr knows that diversity doesn't just happen, it's the intentional outcome of commitment to equity and inclusion. I'm proud of the firm for exploring how AI can lead to proactive and purposeful action to uncover where hidden biases lie, and in turn ultimately fostering a better overall workplace."
2022 AI Visionary honoree, Virginia Essandoh, Chief Diversity Officer at Ballard Spahr.
Essandoh will discuss her experience in using AI to detect biased performance reviews and foster a more meritocratic workplace in a fireside chat with Gamson during an AI Visionaries recognition dinner during Legalweek.
Relativity makes software to help users organize data, discover the truth and act on it. Its SaaS product RelativityOne manages large volumes of data and quickly identifies key issues during litigation and internal investigations. The AI-powered communication surveillance product, Relativity Trace proactively detects regulatory misconduct like insider trading, collusion and other non-compliant behavior. Relativity has more than 300,000 users in approximately 40 countries serving thousands of organizations globally primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 198 of the Am Law 200. Relativity has been named one of Chicago's Top Workplaces by the Chicago Tribune for 10 consecutive years.
Vianai Systems, Inc. | April 20, 2022
Vianai Systems , the human-centered AI platform and products company, today launched the Vian H+AI™ Platform for reliable, optimized enterprise-wide deployment, management and governance of machine learning (ML) models at scale. The Vian H+AI Platform brings a human-centric approach, combined with advanced AI techniques to address and remove barriers that currently prevent widespread AI adoption into production environments. A lack of trust, transparency and governance of AI models over their entire lifecycles, exacerbated by skyrocketing infrastructure costs, has significantly slowed the time-to-value of ML models – preventing enterprises from realizing the full potential of their AI investments. Vian is on mission to change that.
The first set of capabilities available within the Vian H+AI Platform includes Vian MLOps for managing, optimizing, deploying, and governing ML models for production at scale. The Vian H+AI MLOps Platform provides a collaborative user experience across the AI workflow between data scientists, MLOps engineers, and risk auditors to operationalize and manage models as a continuous lifecycle over a long period of time. Vian Performance Optimization within the Platform dramatically accelerates model speed and throughput even on commodity hardware. In addition, the open, modular architecture of the Vian H+AI MLOps Platform enables MLOps teams to seamlessly leverage the entire end-to-end capabilities of the Platform or simply use components of it, to create a truly customized solution to fit their specific needs.
“AI plays a strategic role at Schneider Electric, in our products and services, and in business operations. We have tested Vianai's platform on our AI applications running in remote oil pumps, and observed very impressive AI model execution speed and throughput improvements on the same hardware,” said Dr. Peter Weckesser, Chief Digital Officer and Member of the Executive Committee, Schneider Electric. “Based on this outstanding performance, we are evaluating additional potential use-cases in Energy Management and Industrial Automation leveraging Vianai’s technology to enable us to deliver high-performance AI safely and scalably across our ecosystem."
“Over the last three years, we have worked with dozens of the world’s largest and most respected companies, to learn the needs of businesses that AI must serve. Our H+AI platform marries those business needs with our advanced technical work, using the power of design thinking, and the result is several breakthroughs that create a new category of AI capabilities. Capabilities that early enterprise AI tools simply do not have. Our platform delivers AI that is high-performance, low-footprint and cloud-agonistic, and at the same time, transparent, reliable and manageable across the lifespan of data, business activities and models, at global scale. We are now bringing this new class of AI capabilities, via our powerful platform and the extraordinary business benefits that our early customers have seen, to all enterprises.”
Dr. Vishal Sikka, Founder & CEO, Vianai Systems
With the Vian H+AI MLOps Platform, enterprises can now build a foundation for human-centered AI systems. The Platform combines several open-source tools, Vian-proprietary techniques and optimizations, and a human-centric approach to bring AI to the enterprise at scale across diverse landscapes. With the Vian H+AI MLOps Platform, enterprises have maximum flexibility in model-building tools used by data scientists, can dramatically accelerate model performance without cost-performance tradeoffs, and have a central place to manage all models including end-to-end lifecycle management and monitoring for risks such as drift, uncertainty, bias and explainability, seamlessly retraining models when and if needed. The Platform delivers these unique capabilities via its:
Unified User Experience: MLOps engineers can now quickly operationalize models, regardless of the tools used by data scientists to create those models. There is no longer a need to restrict data scientists to using specific proprietary tools, which currently slows the process of moving AI models into production.
Open, Modular Architecture: Vian MLOps is open source-based, built from scratch to deliver a flexible, componentized architecture. MLOps engineers can quickly and easily plug-and-play components and make decisions on the best cloud, database, repositories, and other components to use, without changing the API. In addition, the modular architecture enables MLOps teams to leverage the entire Platform end-to-end or seamlessly bring specific components of the Platform into their AI workflows.
Performance Optimization: With Vian Performance Optimization, a key capability within the Vian H+AI Platform, customers can dramatically accelerate the execution speed and throughput of models without costly hardware upgrades.
Risk Monitoring: Vian MLOps provides a rich set of model risk monitoring capabilities for data quality and integrity, drift, uncertainty, bias, explainability, and more. Leveraging integrated open-source as well as Vian proprietary technologies, each model can follow a customized risk monitoring plan before and after deployment to production.
Vian MLOps delivers the foundational starting point for building human-centered AI systems and reflects the company’s unique approach to creating solutions that address real business needs, based on empathy and understanding of the customer. In its strategic engagements with customers across a variety of industries, Vian saw a clear need for a more human-centered approach to AI, in particular, the need for a platform to manage and operationalize reliable, explainable, observable, and trustworthy ML models. Going forward, the Vian H+AI Platform will deliver a wide range of advanced AI tools and techniques, to help enterprises pursue their most strategic opportunities by leveraging human-centered AI.
Vianai Systems, Inc. is a Human-Centered AI platform and products company launched in 2019 to address the unfulfilled promise of enterprise AI. Vian's customers include many of the largest and most respected businesses in the world, to which it delivers AI, ML and data science platforms and products. Vian helps its customers amplify the transformational potential within their organizations using its H+AI Platform and a variety of advanced AI and ML tools with a distinct approach in how it thoughtfully brings together humans with technology. This human-centered approach differentiates Vian from other platform and product companies and enables its customers to fulfill AI's true promise for the benefit of humanity.
Forcepoint | July 27, 2020
Global cybersecurity leader Forcepoint today announced the introduction of its Dynamic Edge Protection suite of cloud-native SASE solutions featuring new Cloud Security Gateway and Private Access offerings. With today’s introduction, Forcepoint is delivering the industry’s most comprehensive suite of converged capabilities to address enterprises’ most critical work-from-home security challenges across network security, threat protection, secure access and data protection. Forcepoint recognizes that solving today’s most pressing security problems requires tight integration of capabilities that cross traditional product boundaries, such as delivered through a SASE architecture approach.