APC 技術ブログ

株式会社エーピーコミュニケーションズの技術ブログです。

株式会社 エーピーコミュニケーションズの技術ブログです。

How McDonalds Uses ML to Optimize Restaurant Site Selection

Preface As McDonald's actively pushes to expand its global presence, the company utilizes advanced machine learning technologies to smartly determine potential new store locations. This segment delves into how mathematical models and sophi…

Path to Production: Databricks Project CICD for Seamless Inner to Outer Dev Loops

Preface At the outset of the session, we honed in on various challenges associated with implementing CI/CD in Databricks projects. Central to our discussions was the role of community collaboration, playing a pivotal part in overcoming the…

Summary of posts on DATA+AI Summit 2024 (DAIS2024, June 13, 2024)

Introduction AP Communications has developed a portal site for DATA+AI SUMMIT 2024 in collaboration with local participants and members watching from Japan to deliver information about the event. [ Our event site] Introduction June 13, 202…

Data + AI Summit Keynote, Thursday

Preface An incredible program awaits us, but first and foremost, we want to express our appreciation to all our partners. Without the partners, this program could not have been realized. We want to thank the GSIs, hyperscalers, and all the…

Summary of posts on DATA+AI Summit 2024 (DAIS2024, Virtual Sessions)

Introduction AP Communications has developed a portal site for DATA+AI SUMMIT 2024 in collaboration with local participants and members watching from Japan to deliver information about the event. [ Our event site] Introduction Virtual Sess…

A Practical Introduction to Machine Learning with Databricks Mosaic AI

Preface Welcome to "A Practical Introduction to Machine Learning Using Databricks Mosaic AI." Today, we are thrilled to host Craig, who oversees AI and machine learning product management at Databricks, to share insights into this burgeoni…

Accelerating Operational Excellence with Generative AI

Preface In the financial and insurance industries, where customer service demands swift and accurate responses, our company has implemented a Retrieval Augmented Generation (RAG) system. This AI-driven solution leverages deep learning tech…

MLOps and AI Governance in Healthcare: Providence's Use Case

Preface This session introduced the progress that Providence HealthCare has made over the past year, particularly focusing on the development of their AI/ML model marketplace and how they have operated it within Azure’s secure cloud enviro…

DATA+AI Summit2024(DAIS2024)に関する投稿まとめ(バーチャルセッション)

はじめに エーピーコミュニケーションズでは現地参加メンバーと日本から視聴するメンバーで連携しDATA+AI SUMMIT2024に関するポータルサイトを展開し、イベントに関する情報をお届けしています。是非ともこちらの特設サイトのチェックもよろしくお願いいたし…

Rise of the Medallion Mesh

Preface In the swiftly evolving tech landscape of today, organizations face numerous challenges in fully harnessing the potential of data-driven endeavors. The session "Rise of the Medallion Mesh" directly addresses these challenges, focus…

Automating Unity Catalog Migration with UCX: Building Robust Python Applications on Databricks

Preface In the process of developing Terraform Providers and Python SDKs, UCX amassed invaluable knowledge around building robust Python applications on Databricks. Preface The Importance of Regular Integration Testing The Power of Pytest …

Dive into Building Production Quality Gen AI Applications

Preface In this session, emphasis was placed on deeply understanding the considerations of quality and performance required when transitioning from a prototype to a product. The speakers, Miles Curtis and Eric, provided expert insights int…

Data Platform Modernization with a Data Mesh Architecture

Preface In order to quantify the scale of their operations, Lazans shared a short video that clarified the organization’s core beliefs and targets. This video, made in Portuguese and subtitled in English, emphasized the fact that Bradesco …

Data + AI Summit Keynote, Wednesday

Preface The growing focus on data and AI in contemporary times is noteworthy. There is a strong desire worldwide to learn practical use cases and how AI functions in production environments. Presentations by all speakers signify the crysta…

A Practitioner's Perspective on LLMOps

Preface In the rapidly evolving fields of generative AI and Large Language Models (LLMs), effectively operationalizing these technologies presents a significant challenge for businesses attempting to integrate them into operational workflo…

The AI Regulatory Landscape What’s Here What’s Coming How to Prepare

Preface Venturing into the landscape of AI regulation, which continues to evolve without pause worldwide, is undoubtedly a challenge. To provide a clear overview of the issues at hand and offer our audience insights into the environment of…

Prompt Engineering is Dead; Build LLM Applications with DSPy Framework

Preface In exploring the session landscape, a significant shift in the perception of prompt engineering was highlighted. Although the session title might appear controversial, it effectively emphasized the urgency and relevance of the disc…

In the Trenches with DBRX Building a State-of-the-Art Open-Source Model(DBRX による最前線: 最先端のオープンソース モデルの構築)

はじめに 当初DPRXとして導入され、後にDBRXと改名されたこのセッションは、独自のデータを活用し投資利益を最大化することを中心にした開発哲学を強調しました。不動産データを利用したカスタムAIモデルが現実のビジネスシナリオで果たす重要な役割が詳細に…

DATA+AI Summit2024(DAIS2024)に関する投稿まとめ(現地時間2024年6月12日分)

はじめに エーピーコミュニケーションズでは現地参加メンバーと日本から視聴するメンバーで連携しDATA+AI SUMMIT2024に関するポータルサイトを展開し、イベントに関する情報をお届けしています。是非ともこちらの特設サイトのチェックもよろしくお願いいたし…

Simplifying Lakehouse Observability: Databricks Key Design Goals and Strategies(レイクハウスの可観測性の簡素化: Databricks の主要な設計目標と戦略)

はじめに Databricksは、データ、分析、AIに基づくあらゆる事業の成功に不可欠な湖畔監視ツールの広範な配列を提供しています。このセッションでは、Databricksが提供する多様なツールと洞察を示し、運用を強化し、ユーザーの成功を高めることができました。…

DSPy: Compiling Language Model Calls into Self-Improving Pipelines(DSPy: 言語モデル呼び出しを自己改善パイプラインにコンパイルする)

AIとヒューマン・イン・ザ・ループ・システムの統合 このセッションで興味深かったのは、「AIとヒューマン・イン・ザ・ループ・システムの統合」に関する話題でした。ここでは、Webページ、プラットフォーム、Twitterでの問題解決を目的とした質問の発見、明…

What’s Next for the Upcoming Apache Spark 4.0?

Preface The long-awaited release of Apache Spark 4.0 brings a set of enhancements, extending its features and enriching the developer's experience with this unified analytics engine. This presentation aims to highlight the notable changes …

Simplifying Lakehouse Observability: Databricks Key Design Goals and Strategies

Preface Databricks offers an extensive array of lakeside monitoring tools that are essential for the success of any business reliant on data, analytics, and AI. This session showcased the diverse tools and insights provided by Databricks t…

Building Production RAG Over Complex Documents

Building and Enhancing the RAG Pipeline Advanced Techniques and Tools in Building RAG on Complex Documents Deep Dive into Advanced Active Systems and Continuous Improvement Understanding RAG Exploring Advanced Active Systems Emphasizing Co…

Latest Advancements in MLflow

Preface This session delves deep into the latest features of MLflow and its ongoing evolution, introducing some incredibly compelling developments. This section provides a basic overview of the MLflow lifecycle. Preface Introduction and Ov…

Summary of posts on DATA+AI Summit 2024 (DAIS2024, June 12, 2024)

Introduction AP Communications has developed a portal site for DATA+AI SUMMIT 2024 in collaboration with local participants and members watching from Japan to deliver information about the event. [ Our event site] Introduction June 12, 202…

Scaling AI in Australia and New Zealand with ML Foundations and Databricks

Preface Effectively scaling Artificial Intelligence (AI) across an enterprise presents a unique set of challenges, especially in regions like Australia and New Zealand where diverse industries demand customized AI solutions. In this sessio…

Implementing the Lakehouse, from BI to AI

Evolution Toward an Integrated Architecture Standardization and Governance: ABN Amro's Data Architecture Strategy Centralized Management and Data Sharing Compliance and Orchestration About the special site during DAIS Evolution Toward an I…

Scaling RAG and Embedding Computations with Ray and Pinecone

Preface In this session, we explored how to efficiently scale Retrieval-Augmented Generation (RAG) and embedding computations using Ray and Pinecone. Engineers Roy (Engineering Manager at Pinecone) and Cheng Su (Engineering Manager from An…

The MLOps Platform at WGU: Solutions to Production ML with Databricks

Preface In this session report, the MLOps team at Western Governors University (WGU) presented on the theme "MLOps Platform at WGU: Production ML Solutions with Databricks." The session focused on the early stages of implementing MLOps (Ma…