Analyst Coverage

Credo AI named under “Responsible AI” sub-category

Omdia reports from the Responsible AI Leadership Summit 2023 by Credo AI, where thought leaders and business practitioners shared their perspectives and advice on a key topic: practical implementation of responsible AI in the enterprise.

Here are 345 high-momentum private companies to watch across artificial intelligence, financial services, retail tech, and more.

"Generative AI solutions driven by foundation models will usher in a new era in computing and business. This Impact Radar identifies the key components that product leaders must understand to exploit GenAI opportunities and deliver value to clients."

"Emerging technologies such as generative AI and industry clouds are disrupting the dynamics of mature cloud computing markets and creating new opportunities. Product leaders must respond with a new generation of platforms with AI-augmented user experiences and composable architecture."

The need for AI model transparency and rapid innovation among the developer community has put open-source AI in the spotlight. We map 70+ vendors developing open-source tools to help enterprises build and deploy AI projects.

Credo AI made CB Insights list of the Most Promising Startups in the World.

Credo AI is listed as ‘Sample Vendor’ under the “AI Trust, Risk, and Security Management (TRiSM) Tools” alongside Arize AI, Arthur, CalypsoAI, Fiddler AI, Gretel, MOSTLY AI, Protopia AI, Spectrum Labs and TruEra

Gain valuable insights on the industry's implementation, obstacles, organizational strategies, and structure for Responsible AI with this exclusive IDC White Paper, brought to you by Credo AI. Uncover the secrets of "AI-first, ethics-forward" organizations and how they achieve outstanding business success through Responsible AI practices.

A lack of accountability in artificial intelligence (AI) can result in regulatory fines, brand damage, and lost customers. Responsible AI development involves training in the ethical use of AI, testing throughout the AI lifecycle, and independent review and audit. This report advises business and tech leaders on how to improve their company’s AI accountability by performing third-party due diligence and adhering to emerging best practices for responsible AI development and deployment.

Generative AI technologies are emerging rapidly and promise substantial value. Like broader AI, GenAI permeates the entire technology stack and most industry verticals. Technology leaders can use this tool to identify software vendors offering development support and out-of-the-box applications.

Emerging technologies continue to transform banks, with new products and services addressing customers of all types — consumers, enterprises and, increasingly, machines. In this Hype Cycle, we cite technologies that should be on your technology radars to prepare IT CIOs for the future of banking.

"IT organizations are increasingly turning to IT management intelligence technology to improve IT operations, service management and cybersecurity. I&O leaders should leverage this Hype Cycle to assess the intelligent services, processes and technologies available to improve IT delivery capabilities. "

Legacy approaches to D&A governance are no longer practical in today’s increasingly digital data world. This Hype Cycle will help FP&A leaders to make informed decisions about the latest finance D&A governance trends, explore the newest innovations and identify appropriate investment opportunities.

The controllership function must transform to deliver real-time financial insights and increase its value to the enterprise. This Hype Cycle helps corporate controllers identify top current and emerging technologies, processes and methodologies that are shaping the future of autonomous accounting.

TeTech innovations grow increasingly important for corporate legal and compliance leaders facing significant workload demands and looming economic and regulatory headwinds. Leaders must close foundational tech gaps and carefully pursue innovation to deliver outcomes effectively for their business.ch innovations grow increasingly important for corporate legal and compliance leaders facing significant workload demands and looming economic and regulatory headwinds. Leaders must close foundational tech gaps and carefully pursue innovation to deliver outcomes effectively for their business.

CFOs can use this Hype Cycle to identify the top emerging technologies shaping the future of finance. This 10-year outlook predicts the most relevant trends in technology, data and processes to prepare leaders for a finance organization collaboratively managed by people and machines.

AI’s prevalence in automating and scaling decisions, digital experiences, and business practices increasingly requires a human in the loop to mitigate risk while also improving business outcomes. Data science organizations have carried the AI governance load to date but questions and guidance on risk tolerance, regulatory requirements, and changes to business operations require input from business stakeholders and leaders. Enterprises are turning to AI governance as a way to address these needs and transition toward an AI-enabled business. This report provides a business framework to shape an enterprise AI governance competency and explains how to get started.

Significant opportunities await hyperscale cloud providers offering generative AI solutions, but the engineering effort required of enterprises hinders their adoption. By forming technical partnership ecosystems with AI startups, product managers can help their customers adopt these AI services.

The AI 100 is CB Insights' annual list of the 100 most promising private AI companies in the world.

This Hype Cycle presents technologies and practices that can help governments improve citizen services. CIOs can use it to determine suitability and timing of investments and to address adoption and investment risks.

Enterprises continue to prioritize digital acceleration, putting data and analytics leaders in a strong leadership position. However, with uncertainty present on various fronts, D&A leaders must explore new areas for business impact and modernize while carefully navigating confusing market hype.

This Hype Cycle provides insights relative to risk and rate of adoption for emerging and maturing technologies and approaches in public safety and law enforcement. Government CIOs can use this research to make informed decisions about the timing of investments to support their digital strategy.

Credo AI has been mentioned in the 2022 Gartner Hype Cycle for Open-Source Software. Most of the world’s software products are built with open-source components and tools. Software engineering leaders should use this Hype Cycle to track innovations that manage, govern, and secure the use of, or are powered by, open-source software.

Credo AI has been mentioned in the 2022 Gartner Hype Cycle for Artificial Intelligence. AI continues to be a hot topic of discussion across business, government and society, making the task of identifying AI innovations with real business utility challenging. Data and analytics leaders can use this research to strategically plan their AI initiatives for success.

Credo AI has been mentioned in the 2022 Gartner Hype Cycle for Finance Data and Analytics Governance. This Hype Cycle enables leaders to explore D&A governance innovations, vet risks and realities, and identify appropriate investment opportunities.

Credo AI has been mentioned in the 2022 Gartner Hype Cycle for Data and Analytics Governance.

This IDC Vendor Profile examines and reviews offerings from Credo AI, a private enterprise software company, and how Credo AI's Responsible AI governance platform empowers businesses worldwide to build and embrace AI responsibly — aligned with human values and putting humans first.

Brief on how Credo AI is operationalizing AI governance at scale.