Helping Businesses gain AI value and Compliance with Trustworthy AI

Harvard Business Review showed data indicating only 17% of firms have advanced their AI maturity enough to achieve superior growth and business transformation. The “AI Achievers” meanwhile enjoyed 50% greater revenue growth on average, compared with their peers.

Why aren't Organizations unlocking the AI potential?

In a study by Deloitte, top reasons included:

Uncertain regulatory climate

Data Security & Privacy

Brand damage

Reputation

Addressing Bias

Further regulations such as the EU AI Act and US Executive order are driving for Trustworthy AI but without a roadmap on how to achieve Safe, Secure and Trustworthy AI.

AI Regulations

EU AI ACT

The EU AI Act aims to establish a "comprehensive legal framework on AI worldwide" for "foster[ing] trustworthy AI in Europe and beyond, by ensuring that AI systems respect fundamental rights, safety, and ethical principles and by addressing risks of very powerful and impactful AI models."

There are questions and issues organizations need which go beyond reading the Act. Points that can make the difference between valuable time lost trying to understand what the timelines are, what does it mean in your context, simplifying adoption.

Since the AI environment is so dynamic, I have been hosting podcasts with industry leaders to provide actionable guidance.

Note: On Trusted AI website, you can select from more than fifteen podcast platforms where you can hear the dialogs on developments as they are unfolding or real-world examples on Strategy and Implementation.

Trusted AI is helping De-Risk AI adoption

Why did Trusted AI? launch Trusted AI as a service ? To address and simplify all of the above and additional factors that can slow down AI Adoption.

Trusted AI as a Service for your AI Center of Excellence

The advancement of AI technologies offers unparalleled opportunities for innovation and growth but also presents new challenges in governance and ethical considerations. To address this, “Trusted AI as a Service” merges the proven practices of traditional governance with the flexibility required for effective AI management.

Our approach ensures that organizations can harness the power of AI in a manner that is both ethical and sustainable, thereby maximizing potential benefits while mitigating associated risks.

Central to our service offering is the AI TIPS methodology (Artificial Intelligence Trust Integrated Pillars for Sustainability), developed from our extensive experience in strategic risk management for global corporations. AI TIPS is a comprehensive, lifecycle-oriented framework that provides actionable, operational governance for trustworthy AI implementations. This methodology emphasizes the importance of involving key stakeholders early and throughout the AI project lifecycle, aligning closely with the organization’s strategic objectives and ethical standards.

Complementing our AI TIPS methodology, the “Trusted AI as a Service” offering is bolstered by our AI Center of Excellence (CoE) . This CoE is a hub of on-demand AI expertise, offering access to leading AI specialists , best practices such as NIST AI RMF, ISO 42001, IEEE Ethics by design, and the latest strategies in AI governance. In addition we are offering highly specialized training by industry AI Risk, Privacy, Security and Governance professionals on

ISO 42001 Workshop

NIST AI RMF Workshop

EU GDPR compliance for LLM Models Workshop (Next one scheduled for May 2nd 11:00 EST).

AI Security & Privacy Certification Workshop

Our flagship "Building Trust By design" Workshop and more..

Through this innovative Consulting as a Service model, clients receive customized, scalable solutions tailored to their unique challenges and needs, ensuring success in their AI initiatives.

Trusted AI and our Technology partners are here to Build your “AI Achiever” Strategy and roadmap.

AI is changing the game for business productivity, efficiency and competitive edge one step at a time.

Banks and FinTech companies are implementing risk management systems with AI solutions to facilitate decision-making processes, reduce credit risks and provide financial services tailored to their users through automation and ML algorithms. AI’s ability to analyze large data relevant for cyber security, risk management, risk assessment, and accurate business decision-making is tremendous.

As AI/ML algorithms are increasingly utilized in healthcare systems, accuracy, generalizability, and avoidance of bias and drift appropriately come to the forefront. Bias can primarily surface in the form of predictive bias—algorithmic inaccuracies in producing estimates that significantly differ from the underlying truth; and/or social bias, or latent bias.

In any industry, when implementing AI technologies, companies must pay special attention to their associated challenges such as data protection along with the costs of implementation.

Trusted AI is here to help you implement responsible AI practices and ensure that systems are trustworthy, secure, private, transparent, socio-technical, and generative.

Contact us for a demo on how our team and partners can help gain the value and understand your risks in deploying or developing AI.

Contact me [email protected] or send us a contact request .

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