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"The Power of Data: A Journey into AI Advancements"

On-Demand Webcast

The era of generative AI (GenAI) is here, presenting a multitude of opportunities for businesses to leverage its capabilities. Every day, new GenAI solutions like LLMs, chatbots, and assistants emerge, offering diverse tools to enhance business operations, each vying for attention among enterprise practitioners. However, GenAI's true potential lies in its ability to harness quality data. Even with cutting-edge GenAI tools, businesses need to prioritize leveraging high-quality, secure data in their workflows. 

Join this webinar from Oracle and Omdia to learn more about:

• The pivotal role of data in driving GenAI outcomes (no matter the tool used)
• How vector databases can bolster GenAI initiatives within businesses and support practitioners
• Current levels of enterprise adoption and readiness for GenAI, along with associated challenges
• Practical strategies for effectively integrating data-driven AI into business and IT operations

Speakers:
Bradley Shimmin
Brad has more than 25 years of experience in IT technology, analyzing data and information architectures. He is skilled in competitive market intelligence, technology selection, business development, and quantitative research. He also has experience as an IT professional, business analyst, book author/editor, and high-tech journalist/editor.

Brad helps enterprises and high-tech companies work effectively across several market areas, including enterprise data and analytics, artificial intelligence, digital transformation, and DevOps. His expertise also covers market evaluation and go-to-market messaging, and he has a background in software development and database administration.

Tirthankar Lahiri, Senior Vice President of Data and In-Memory Technologies, Oracle
Tirthankar Lahiri is Senior Vice President of Data, In-Memory and AI technologies at Oracle. He is responsible for the Data Engine for Oracle Database, as well as the Oracle TimesTen In-Memory Database and Oracle NoSQLDB. Tirthankar works on a variety of mission-critical database areas, such as in-memory data management, data compression, AI vectors, and next generation scale-out technologies. He has a B.Tech in Computer Science from IIT Kharagpur, and an MS in Electrical Engineering from Stanford University and has 63 parents.

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