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Trusted AI Empowers AI Practitioners to Succeed

Learn how Teradata helps AI practitioners go from strategy to results with trusted data, Trusted AI, and an open and connected ecosystem.

Vedat Akgun
Vedat Akgun
2024年11月28日 2 分で読める

At Teradata, we partnered with leading market research firm NewtonX to explore how trust in AI is evolving among 300 C-suite executives and AI leaders worldwide. The findings? Trust in AI’s potential is high, but hurdles like strategy, execution, and reliability remain significant.

With 84% of organizations expecting AI-driven results within a year, and 89% considering AI critical to competitiveness, the time for AI practitioners to shine is now.

As an AI practitioner, I see this as an opportunity—albeit one accompanied by pressure. A Rand Corporation study reminds us that 80% of AI projects fail, a failure rate double that of non-AI IT projects. These challenges emphasize the need for robust, scalable solutions to bridge the gap between AI potential and business outcomes.  

Empowering AI Practitioners with the Right Tools  

With more than two decades of experience as a data practitioner, I know the reality: AI practitioners spend an overwhelming 80% of their time on data preparation tasks. That’s why having a best-in-class data platform is crucial—one that reduces data movement, optimizes cost at scale, and seamlessly integrates diverse data types and sources.  

Imagine being able to confidently tell a stakeholder, "Our data and analytics platform empowers you to solve any business challenge with AI—transparently, securely, and with minimal cost." That’s the promise of Teradata VantageCloud.  

But a strong data foundation is just the beginning. AI practitioners need (and want!) an open, connected ecosystem that integrates tools they trust, from Python libraries like Anaconda to machine learning platforms like Vertex AI, Azure Machine Learning, and Amazon SageMaker. AI practitioners also want an environment where they can safely use open-source models, especially large language models (LLMs). 

Teradata’s powerful end-to-end AI capabilities, ClearScape Analytics™, meet this need with Bring Your Own Large Language Model (BYO-LLM), giving practitioners the power to choose the best LLM for each use case—including small, midsized, and domain-specific—from open-source AI providers like Hugging Face.  

Unlocking Business Value with Trusted AI  

A truly open and connected ecosystem for AI not only enables practitioners to create business value but ensures that stakeholders buy into production models with confidence. VantageCloud simplifies this journey—from real-time scoring of events to robust monitoring for data drift and model performance.  

At Teradata, we believe in equipping AI practitioners with what they need to shine. With our hybrid, scalable platform for Trusted AI, we help organizations unlock the full spectrum of AI innovation—from descriptive and predictive analytics to transformative generative AI. By lowering the total cost of ownership and offering unmatched connectivity, we provide the tools to turn AI potential into measurable outcomes.  

It’s Your Time  

AI practitioners have an unprecedented opportunity to make an impact. With trusted data and Trusted AI, powered by Teradata, you can focus on what truly matters: delivering results that inspire confidence and drive the success of your organization. Learn more about what Trusted AI makes possible today

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Vedat Akgun について

Vedat Akgun, Ph.D., uses his depth and breadth of experience in AI to plan, implement, and manage Teradata’s overall artificial intelligence marketing strategy. Akgun has more than two decades of hands-on practitioner experience in AI, delivering actionable, intuitive, and impactful advanced analytical capabilities in major industries, including finance, telecommunications, supply chain, pricing and revenue management, retail, and transportation and logistics.

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