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YOU SHOULD LET PPL TRY 1ST, NOT ASK PEOPLE TO ADD THEIR CREDIT CARD NUMBER, CLOWN PROJECT 🤡

can this build trading bots?

Hi @Abacus AI is this slide deck accessible?

🎯 Key points for quick navigation: 00:00 *📅 Introduction and AI's Role in Retail* - Austin Zielman introduces Miguel Paredes, emphasizing the significance of AI in brick-and-mortar businesses. - Miguel outlines Albertsons' position and his role in steering AI initiatives. - Discussion of Albertsons' merging with Kroger and implications for data insights. - Overview of the AI team's composition and initiatives focused on customer preferences. 02:30 *⚙️ Current AI Tools and Challenges Faced* - Miguel discusses the technological stack utilized for AI operations at Albertsons. - Highlights the challenge of legacy systems in integrating AI technologies. - Emphasizes the need for improved data collection tools to enhance customer interaction insights. - Outlines the mindset shift required within the organization to embrace AI effectively. 04:53 *🧠 AI Models in Practice: Insights and Applications* - Discussion on the types of AI models utilized, focusing heavily on traditional machine learning tools. - Emphasis on forecasting, supply chain optimization, and customer personalization as key AI applications. - Challenges in understanding customer preferences due to data complexity and cold start problems. - Streamlining the recommendation process in light of varying customer shopping habits. 09:57 *🛍️ Personalizing Customer Experience In-Store and Online* - Miguel explains the integration of customer loyalty data to enhance in-store personalization. - Introduction of a feature called "In-Store Mode" to enrich the shopping experience through app integration. - Insights into smart basket auto-population functionality to prevent missed purchases. - Operational challenges in applying online recommendations in physical stores. 12:11 *📊 Measuring the ROI of AI Projects* - Discussion on the methods for assessing the return on investment for AI initiatives. - The importance of aligning AI projects with company strategy and business needs. - Use of A/B testing and incrementality measurement to evaluate project impacts. - Monitoring value creation through data science efforts and assessing customer experience. 16:02 *⏳ Challenges in AI Project Implementation* - Miguel addresses common challenges in getting organizational buy-in for AI projects. - Discussion on bandwidth and resource allocation as significant barriers to project initiation. - Importance of organizational design and processes in enhancing AI project execution. - Variability in project timelines based on complexity and organizational maturity. 18:52 *🤝 Partnering with AI Vendors: Key Considerations* - Key qualities sought in AI partners, including customer-centric attitudes and expertise. - The significance of upfront discussions on costs and the overall clarity in project scope. - Importance of POC readiness and support in making data-driven decisions. - Recognizing the value of efficiency in vendor selection and collaboration processes. 20:11 *🔍 Understanding AI's Value in Business* - Companies need to approach AI with a clear understanding of the potential benefits and cost implications. - The significance of actionable insights for business improvement. - Professionals who adapt to AI tools will have a competitive advantage over those who do not. 22:04 *⚡ The Transformative Power of Generalized AI* - Generalized AI represents a radical shift akin to the advent of electricity, impacting various job sectors. - The importance of adapting business processes and collaboration methods with AI tools. - Competitive advantage will increasingly hinge on proprietary data rather than just AI technology itself. 24:06 *🔒 Privacy and Data Sharing Dynamics* - Balancing privacy concerns with the value created through AI-generated recommendations is crucial for business success. - Customers can benefit when data is shared in a privacy-preserving manner. - First-party data will be a key asset for companies in delivering personalized experiences. 26:11 *📈 Evolution of AI Adoption in Enterprises* - Board members and executives are now more aware and actively seeking opportunities to leverage AI in their businesses. - The shift from bottom-up initiatives to top-down strategic pushes for AI integration is notable. - There’s a transformation in the talent landscape needed for AI implementation, focusing on calibrating existing models rather than building them from scratch. 28:43 *🛠️ Practical Steps for Integrating AI* - Understanding prompt engineering and experimenting with AI tools is essential for professionals in all fields. - The concept of AI skilling emphasizes the importance of human capability in using AI as an enhancement tool. - Encouraging younger generations to engage with AI technology will foster future adaptability. Made with HARPA AI

Thanks I bought your subscription. I want create agents like chat gpt I don't know how to do that in abacus ai. please share any tutorial for example I want to create specific agent to tell jokes I don't have any external data set or documents. I have some instructions and reference link based on that it should create tell a joke. I want to use existing chatGPT or Anthropic model How to do that

"PromoSM" 🌷

No sound?

Thanks for posting.

Thanks, @Abacus AI. Quite insightful webinar. Great workshop by Brandon, clearly addressing the questions raised 👍

I call BS on the job deal . As soon as Walmart, Amazon and target get the right kind of tech humans will be gone. Once the large companies switch, all the small companies will have to in order to compete. Between the next 10 to 15 years between 80 to 90 percent of jobs will be gone.

Congratulations 👏 AND BEST WISHES 💓💓

p̶r̶o̶m̶o̶s̶m̶

TQ's a lot for the Certificate & Initiative ✌🏻

Real talk starts from 14:30. Just internal admin talk before

Hey guys, thank you so much for a great demo. I want to ask a question about the unsupervised problem, please. Is there a way to get Feature Importance per cluster?

colab.research.google.com/drive/1WNewQrDtGTDJiYe2oADBa8OaII-X8pXw

Would you please share the Colab link again?

Could you share the link of colab?

Excellent, thank you!

xai.ai

When Will this be released?

Great presentation you particularly caught my attention with the section on deep learning limitations and deep reinforcement learning. Thanks.