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Implementing AI to Automate LinkedIn Messaging

Smart Data Collective

AI Makes Things Easier for Brands Trying to Automate LinkedIn Messaging. LinkedIn message automation is the process of using third-party software to send messages to your connections. There are different types of LinkedIn messages you can automate, including connection requests, prospecting messages, and even follow-ups.

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Benefits of Using AI Optimized Video Messaging at Work

Smart Data Collective

Video messaging is just one example. More video messaging services are dependent on data analytics, as the analytics in video market is growing over 20% a year. This is leading to further developments in AI technology, which is also driving the future of video messaging technology. AI capabilities have made this much easier.

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Article: Billions of Messages Per Minute Over TCP/IP

InfoQ Articles

Chronicle Wire offers an alternative way of transferring data between systems, delivering more messages, faster, than common JSON/XML approaches. This approach to data serialization improves both latency and throughput. By George Ball

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Article: The Wonders of Postgres Logical Decoding Messages

InfoQ Articles

In this article, author Gunnar Morling discusses Postgres database's logical decoding function to retrieve the messages from write-ahead log, process them, and relay them to external consumers, with help of use cases like outbox, audit logs and replication slots. By Gunnar Morling

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2020 Database Strategies and Contact Acquisition Survey Report

Marketing and sales teams are feeling pressured to deliver authentic messaging to buyers at every point of their customer journey. Insights detailed within this report include: Tools marketers are using to gain deeper intelligence on current and prospective customers for better targeting and messaging.

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Seven Characteristics of Meaningful User Messages

Modern Analyst

These feedback messages most commonly contain information about errors; warnings or alerts; and task progress, completion, or confirmation (Constantine and Lockwood, 1999). Delayed feedback makes it harder for the user to associate a message with its triggering event or condition and inhibits productive use of the information (Norman, 2013).

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Article: Using Serverless WebSockets To Enable Real-time Messaging

InfoQ Articles

This article reviews some of the most common live-user experiences with examples, discusses event-driven architectures to support real-time updates, and introduces common technology choices. By Matthew O’Riordan.

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How Intent Data Helps Marketers Convert A-List Accounts

By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates. We’re here to tell you there’s a better way.

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3 Mistakes Organizations Make While Developing ABM Programs

From building an account universe to understanding to orchestrating sales and marketing alignment around touchpoint and messaging, there are a number of variables to consider before launching a program.

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Digitizing Logistics: Harness the Power of Data in 4 Steps

In this eBook, you’ll learn how to identify and target your ideal prospects — when they’re most receptive to hearing your message — using different types of data. Personalizing messages to your priority accounts. Ready to impress your boss with killer results? Leveraging intent data.

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Going Beyond Gut Instinct: The Do’s and Don’ts of Strategic In-App Guides

Are you delivering the right messages to the right people at the right time? Is your in-app guidance strategy based on hard data? Or are you just going with your best guess? Or are you simply blasting every guide out to every user? Do your guides feel like they’re part of your product?