Evan Sparks, General Manager and VP for AI Solutions & Cloud at Hewlett Packard Enterprise, shares invaluable insights on harnessing generative AI for business value. He discusses the vital role of strategic partnerships, particularly with NVIDIA, in driving innovation. Evan highlights common challenges companies face when integrating AI while revealing that thoughtful planning can lead to significant efficiency gains. He also emphasizes the importance of high-quality data in developing effective genAI models, providing a roadmap for enterprises to maximize their AI investments.
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insights INSIGHT
Generative AI Value Measurement
Businesses struggle to measure generative AI's value due to the gap between its potential and practical implementation.
2023 was a year of prototypes, while 2024 will likely see more production-ready AI integrations.
question_answer ANECDOTE
Retailer Use Cases
A large retailer used generative AI to improve their mobile app's search functionality, enhancing customer experience.
They also use it internally to improve warehouse and in-store efficiency for workers.
volunteer_activism ADVICE
Data Security
Don't blindly trust AI tools without considering data security and privacy.
Accidental data leaks can occur, especially with sensitive information.
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Awesome Stuff From Our Partner, NVIDIA - Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/
Every business leader is wondering: How can you create value company-wide with Generative AI? And how can you actually capture that value and show the impact? Evan has some answers. Evan is the General Manager and VP for AI Solutions & Cloud at Hewlett Packard Enterprise.
Join us as we get answers from an HPE leader in the GenAI Enterprise space as part of our partnership with NVIDIA at the NVIDIA GTC conference.
Timestamps: 00:00 About Evan and HPE 05:11 Blindly trusting tools leads to data leaks. 08:40 Enterprise search evolving to synthesize and respond. 10:46 Cloud providers and software vendors handle basics 13:47 Genai tools make analysts more efficient, valuable. 16:18 Data is essential for significantly better models.
Topics Covered in This Episode: 1. Creating value in business with generative AI 2. Adoption and Effectiveness of Generative AI 3. Customer and Industry Involvement 4. Pitfalls and Successes with Generative AI 5. HPE Collaboration with NVIDIA
Keywords: generative AI, business value, ChatGPT, language models, NVIDIA GTC conference, AI Solutions, HPE, hardware, infrastructure, enterprise customers, computer vision, deep learning, NLP, generative AI, customer experience, retailer, search, mobile app, data security, privacy, cost, small model, large language model, AI workloads, cloud, data centers, RAG, enterprise search, document store, software, microservices, venture, data, moat
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