News 2/27/25
- Scott Davis
- Feb 27
- 3 min read
Music:
Upcoming Events you Can Attend Online:
Adobe Summit - Adobe's annual summit will be held in Las Vegas, March 17-20 2025 and sessions will be covering: Analytics, Commerce, Content Supply Chain, Customer Data Management, Developers, Trends and Inspiration, Workflow and Planning, B2B Marketing, Content Management, Customer Acquisition, Customer Journey Management, Generative AI, Unified Customer Experience. Sign up here: https://summit.adobe.com/na/pricing/
MarTech Online - Join us online at The MarTech Conference -- for FREE to become a master of marketing in the digital age. At MarTech, you'll easily and efficiently discover dozens of cutting-edge technologies to streamline operations, nurture customer retention, and drive organizational success. You'll also participate in an expertly-crafted program loaded with creative, real-world solutions and strategies. March 25-26
Sign up here: https://martech.org/conference/spring/why-attend/
Submit your organization's MarTech Stack for the 2025 Stackie Awards! Deadline is April 4, 2025.
Forrester B2B Summit North America - Everything you thought you knew about your customers, markets, and business is changing — dramatically. Buyers are wielding more control with self-service habits, generational shifts are reshaping decision-making, and AI is changing how purchases are influenced. Add complex buying groups and trust erosion to the mix, and the result is absolute mayhem.
At Forrester’s B2B Summit North America 2025, you’ll move from chaos to clarity. Armed with cutting-edge research, proven frameworks, and actionable tools, you’ll walk away with the confidence to take control. Make bold decisions and deliver the customer-centric experiences that today’s buyers demand. The success of your organization depends on it. March 31 - April 3. Register here: https://www.forrester.com/event/b2b-summit-north-america/inside-look/
News:
"Emerging Trends in Google Ads for 2025: 5 Strategies to Stay Ahead" by David Pagotto
"RAG vector database explained" by Ksenia Anske
"Amazon's impact on the streaming ad market has opened CTV door to small business advertisers" by Sam Bradley and Michael Burgi, Feb 27, 2025
"X-tortion: How Advertisers Are Losing Control of Media Choice" by Jay Pattisall and Kelsey Chickering, Feb 25, 2025
Worthwhile:
Blink:
Feel-Good Productivity (2023) presents an unconventional approach to getting more done: prioritizing enjoyment and well-being. Through the dual lens of science and philosophy, it explains why we struggle with low energy, procrastination, and burnout, then offers a series of fun mini-experiments to help you boost your mood, output, and ultimately, success.
About the author
Ali Abdaal is a doctor turned YouTuber and entrepreneur best known for his videos on productivity, psychology, and lifestyle design. His eponymous YouTube channel has over 5,000,000 subscribers, and his Deep Dive podcast is now in its seventh season. Abdaal and his work have been featured in Business Insider, Men’s Health, and the Times.
Word of the Day:
Generative Experience Optimization - refers to the process of optimizing digital content to improve its visibility in generative AI search engines. The goal is to rank high in AI-generated responses when users ask queries that align with your products or services. Some of these platforms include Google's Gemini, ChatGPT, and Microsoft's Copilot.
RAG Vector Database - stands for Retrieval-Augmented Generation, a concept that blends information retrieval with generative AI models. A RAG vector database is a specialized system designed to support this process. At its core, it's a type of vector database optimized for storing and retrieving high-dimensional vectors - essentiall, numerical representations of data like text, images, or audio. These vectors capture the "meaning" or "essence" of the data in a way that allows for fast similarity searches. Examples: Pinecone, Weaviate, and Milvus.
Just as a recap, other database types below:
Relational Databses (RDBMS) - data is stored in tables with rows and columns, linked by keys. Think of it like a giant Excel spreadsheet with strict rules. Examples: MySQL, PostgreSQL, Oracle.
NoSQL Databases - Flexible structure - data can be stored as documents, key-value pairs, or wide columns, depending on the type. No fixed schema required. Examples: MongoDB (document), Cassandra (column-family), Redis (key-value).
Graph Databases - Data is stored as nodes (entities) and edges (relationships), like a social network map. Examples: Neo4j, ArangoDB.
When to use each:
RAG Vector for AI-driven tasks like semantic search, recommendation systems, or powering chatbots with context.
Relational for structured, transactional data.
NoSQL for flexibility and scale with unstructured or semi-structured data like user profiles or real-time analytics.
Graph Databases for relationships like social networks or supply chains.
Metric/Term of the Day:
Channel Preference - the liklihood that a customer will engage with messages in a particular channel. Generally based on past behavior. Used to select the most effective channel for each individual. May vary by message type.
Tool/Company:
Pinecone - Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. It combines state-of-the-art vector search libraries, advanced features such as filtering, and distributed infrastructure to provide high performance and reliability at any scale. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search.
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