GenAI Predictions for 2025 | Databricks & Cohere

11/20/24 • 40 min

Will 2025 be the year open-source LLMs catch up with their closed-source rivals? Will an established set of best practices for evaluating AI emerge?

This week on Chain of Thought, we break out the crystal ball and give our biggest AI predictions for 2025. Listen as Sara Hooker, VP of Research at Cohere and Head of Cohere for AI predicts a trend towards smaller, more optimized AI models; Craig Wiley, Senior Director of Product, Mosaic AI at Databricks, dives into the future of multimodal AI; and Galileo’s CEO, Vikram Chatterji, shares his predictions, including the rise of open-source LLMs.

Chapters:

00:00 Introduction

02:01 Vikram's top 3 predictions

06:19 AI and nuclear energy

08:30 Giving power back to the people

13:46 Craig's predictions

20:46 The "era of toolification"

30:38 Sara's predictions

35:07 AI safety

Follow:

Vikram Chatterji: ⁠⁠https://www.linkedin.com/in/vikram-chatterji/⁠ Yash Sheth: https://www.linkedin.com/in/yash-sheth-/ Conor Bronsdon: ⁠⁠https://www.linkedin.com/in/conorbronsdon/⁠⁠

Sara Hooker: https://www.linkedin.com/in/sararosehooker/ Craig Wiley: https://www.linkedin.com/in/craigwiley/

Show notes: Watch all of Productionize 2.0: ⁠⁠⁠https://www.galileo.ai/genai-productionize-2-0⁠⁠

Will 2025 be the year open-source LLMs catch up with their closed-source rivals? Will an established set of best practices for evaluating AI emerge?

Chapters:

00:00 Introduction

02:01 Vikram's top 3 predictions

06:19 AI and nuclear energy

08:30 Giving power back to the people

13:46 Craig's predictions

20:46 The "era of toolification"

30:38 Sara's predictions

35:07 AI safety

Follow:

Vikram Chatterji: ⁠⁠https://www.linkedin.com/in/vikram-chatterji/⁠ Yash Sheth: https://www.linkedin.com/in/yash-sheth-/ Conor Bronsdon: ⁠⁠https://www.linkedin.com/in/conorbronsdon/⁠⁠

Sara Hooker: https://www.linkedin.com/in/sararosehooker/ Craig Wiley: https://www.linkedin.com/in/craigwiley/

Show notes: Watch all of Productionize 2.0: ⁠⁠⁠https://www.galileo.ai/genai-productionize-2-0⁠⁠

Previous Episode

Got Agents? | Weaviate, Unstructured & crewAI

AI agents have quickly emerged as the next ‘hot thing’ in AI, but what constitutes an AI agent and do they live up to the hype?

Join Brian Raymond, founder & CEO at Unstructured.io, Bob van Luijt, co-founder & CEO at Weaviate, and João Moura, founder at crewAI as they discuss the shift to agentic workflows, dissect their architecture, and tackle real-world challenges in agent deployment.

From data management tips to generative feedback loops, this episode is your essential guide to operationalizing agents effectively.

Chapters:

00:00 Defining AI Agents

01:16 Components of Agentic Architecture

02:16 Challenges and Solutions in Agent Deployment

03:58 Data Management and Quality Issues

05:23 Operationalizing Agents in Production

06:56 API and Security Considerations

09:04 Multimodal Information and Agentic Workflows

12:42 Future of Agentic Workflows

20:20 Best Practices for Agentic Strategies

25:30 Generative Feedback Loops

28:29 Agentic Evaluations

Follow:

Yash Sheth: https://www.linkedin.com/in/yash-sheth- Bob van Luijt: https://nl.linkedin.com/in/bobvanluijt

Brian Raymond: https://www.linkedin.com/in/brian-s-raymond

⁠⁠⁠⁠⁠⁠⁠João Moura: https://br.linkedin.com/in/joaomdmoura

Show notes:

⁠⁠⁠Watch all of Productionize 2.0: https://www.galileo.ai/genai-productionize-2-0

Next Episode

The Real ROI of Enterprise AI | HP, ServiceNow & Accenture

The “ROI of AI” has been marketed as a panacea, a near-magical solution to all business problems.

Following that promise, many companies have invested heavily in AI over the past year and are now asking themselves, “What is the return on my AI investment?”

This week on Chain of Thought, Galileo’s CEO, Vikram Chatterji joins Conor Bronsdon to discuss AI's value proposition, from the initial hype to the current search for tangible returns, offering insights into how businesses can identify the right AI use cases to maximize their investment.

Next, we’re joined by a panel of AI experts to discuss the ROI of Enterprise AI, featuring Alex Klug, Head of Product, Data Science & AI at HP; Sriram Palapudi, Sr. Dir, ML Platform Engineering at ServiceNow; and Jay Subrahmonia, Global MD for AI Research & Products at Accenture.

Together, they explore effective implementation strategies, how to measure the returns of AI adoption in the enterprise, and why AI's ROI isn't always just about the bottom line.

Chapters: 00:00 Current State of AI Investments

03:59 Challenges and Solutions in AI Implementation

08:30 Identifying and Prioritizing AI Use Cases

10:53 Ensuring Trust and Explainability in AI

15:29 Measuring ROI and Efficiency Gains

21:10 Panel Discussion Begins

21:54 Trust and Risk Management at HP

23:27 Accenture's Approach to Operationalizing AI

26:06 ServiceNow's Trade-offs and Prioritization

31:17 Measuring the success of AI for customers

36:29 Frameworks and Best Practices

40:57 Conclusion and Final Thoughts