Fueling the Future of Trusted AI

The ancient Greek philosopher Heraclitus once said, “The only constant in life is change.” And for Teradata, change and innovation go hand in hand. While it’s fun to look back at all Teradata has accomplished, it’s even better to look forward to all we’re poised to achieve. Our foundation in data management and business analytics drives game-changing innovation in the AI/ML and analytics arena.

Trusted data and Trusted AI

Trusted data refers to the seamless integration and harmonization of data across an organization. It’s a foundation of reliability, accuracy, and governance that’s essential for every enterprise. 

For more than four decades, Teradata has forged a track record of building a company’s "golden record"—the foundation of trusted data required for mission-critical workloads. We’ve built our platform to be the best in class at scale, so we know what it takes to grow fast and stay cost-effective. 

 Without securing and harmonizing data in an open ecosystem, investments in AI won’t pay off. That's why enterprises are adopting trusted data and Trusted AI strategies with the help of Teradata. Teradata defines Trusted AI as the way that people, data, and AI work together—with transparency—to create value.  

From delivering more precise sales forecasting to inspiring next year's product innovations, the enterprise of the future relies on trusted data and Trusted AI to delight customers and stay ahead of the competition.

Trusted AI framework 

With Teradata’s three principles of Trusted AI—people, transparency, and value creation—businesses can build trust and inspire creativity and confidence in decision-making: 

• People. Making sure AI is centered around people is the first consideration of Trusted AI. Underpinning this human-centric approach is the proper compliance around safety and privacy concerns, so that AI is always used in a secure manner — and accountable humans are present, thoughtful, and engaged throughout the AI lifecycle. 
• Transparency. Simply put, transparency is fully understanding how and why an AI-driven decision was made. Organizations do this by offering complete visibility into the data behind decisions, including how a model complies with all the proper regulations. With the consistent use of transparent, explainable, and governable data across an open AI ecosystem, companies achieve faster results. 
• Value creation. AI projects quickly come under scrutiny without a return on investment (ROI) that far exceeds their cost. Yet, trust in AI is built over time — proven with the reliability, speed, and accuracy of AI models. That consistent performance drives faster innovation and more cost-effective growth, enabling companies to create value and positive impact for their bottom line as well as their customers. 

AI risk management

AI risk management is a crucial component of Trusted AI. At Teradata, we believe that uncompromising security standards build a foundation of trust. 

Delivering trusted data and Trusted AI requires a focus on four key areas: 

1. Data security: Comprehensive, multilayered protection that guards data against evolving threats 
2. Certifications and compliance: Risk management in a complex and evolving regulatory environment 
3. Data governance: Trusted, transparent policies that drive business insights and value 
4. Data privacy: Adherence to global data privacy laws that safeguard customer and business data 

The complete cloud analytics and data platform for AI

The Teradata platform is designed to enable and reinforce Trusted AI. Teradata’s Analytics Database, which includes ClearScape Analytics™, provides radical, high-performance data management and analytics capabilities, whether deployed in the cloud, on premises, or in hybrid environments. This flexibility powers ROI and better business outcomes. 

Since business requirements and competitive landscapes are constantly changing, Teradata’s platform embraces a broad range of data sources for rich analytics. Native access from Analytics Database to object storage systems and open table formats empower organizations to develop and run integrated, complex analytics across various datasets, all within a single or hybrid optimized environment. With other storage options designed for specific performance optimizations, the platform provides a unique balance of scale, performance, and cost.   

Generative AI and other applications of Trusted AI also extend analytics capabilities. And, when insights gained through AI prove to have value, they can easily be deployed and optimized across ecosystems at scale. 

In addition, new programming languages, open-source tools, and user communities need access to data to unleash new opportunities and drive advanced analytics across the enterprise. 

Despite these changes, the criteria for achieving ROI from data, analytics, and Trusted AI remains constant: Integration of data and analytics, deployed at scale, is necessary to maximize business outcomes.

Ease of use and flexibility

Teradata’s platform for AI supports a range of mixed workloads, from reporting to dashboards to critical operations applications that predict and influence business outcomes. The platform must easily support these processes to ingest, manage, and deploy analytics.   

In addition to the optimized Analytics Database, two technological tenets support streamlined adoption of our platform: 

1. ClearScape Analytics simplifies AI operations and, with ModelOps, reduces deployment time from months to days. This supports end-to-end AI/ML pipelines; core languages like Python, R, SAS, and SQL; and built-in model apps for comprehensive lifecycle management and model monitoring. 
2. An open and connected ecosystem provides choice and drives success in an increasingly interconnected world. 

Success stories

From accelerating business growth to driving industry change, companies meet their future-focused goals with Teradata: 

• Accessing rich datasets while managing risk in retail 
• Responding to challenges and predicting trends in transportation 
• Improving data quality and meeting regulatory requirements in financial services 

With trusted data and Trusted AI, decision-makers can make faster, more confident decisions every day—future-proofing their businesses and driving ROI. Learn more about working with Teradata to accomplish your future-focused goals.