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Data Enrichment: Data enrichment is the process of enhancing existing data with additional information to make it more valuable, insightful, and actionable. This typically involves adding more context, details, or insights to the dataset. Data enrichment can include various activities like appending geographic coordinates to customer addresses, enriching customer profiles with demographic data, or enhancing transactional data with sentiment analysis results.

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Data Fabric: Data fabric is an emerging data management design that aims to streamline an organization’s data integration infrastructure, creating a scalable architecture to reduce technical debt and enhance data utilization. It is a concept that focuses on flexible, reusable, and augmented data pipelines and services to support various operational and analytics use cases. Data fabrics leverage different data integration styles, active metadata, knowledge graphs, semantics, and machine learning to enhance data integration design and delivery efficiently.

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“Conversational Al is expected to reduce contact center agent labor costs by $80 billion by 2026.” - Gartner

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“Finish the work you’re assigned, and deliver it with high-enough quality and at a decent pace. Over-deliver when you can, shipping more and better than expected.”

— The Software Engineer’s Guidebook: Navigating senior, tech lead, and staff engineer positions at tech companies and startups by Gergely Orosz a.co/cxpgjyM

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“BE SEEN AS SOMEONE WHO “GETS THINGS DONE””

— The Software Engineer’s Guidebook: Navigating senior, tech lead, and staff engineer positions at tech companies and startups by Gergely Orosz a.co/0Wdva5E

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“Take ownership of your career path if you want to be successful. Don’t hang around waiting for a manager to step in. Even if you get lucky with a great manager, they have a dozen other people to think about and will be able to dedicate only a fraction of the attention to your career that you can. There are plenty of ways to own your career, such as telling your manager and peers what you care about, sharing work that you do which they might not notice otherwise, and creating opportunities for people to give you feedback.”

— The Software Engineer’s Guidebook:

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“With data lakes pulling together information from many different areas of the business, the potential for predictive analysis is definitely getting stronger. We’re trying to find a way to tie together sentiment, touchpoints, and overall stage of the journey to help us better understand and solve what the client might need next.”

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Conversational AI for customer service should be:

Omnichannel: Provide a consistent, seamless experience across any channel, for any stakeholder. Proactive: Anticipate and initiate the conversations that matter, at just the right moment. Personalized: Tailor every step of the journey to deepen customer relationships and build loyalty. Effortless: Integrate across systems to make it as easy as possible for customers to get what they need. Self-improving: Keep getting smarter, faster, and more effective

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Omnichannel: Provide a consistent, seamless experience across any channel, for any stakeholder. Proactive: Anticipate and initiate the conversations that matter, at just the right moment. Personalized: Tailor every step of the journey to deepen customer relationships and build loyalty. Effortless: Integrate across systems to make it as easy as possible for customers to get what they need. Self-improving: Keep getting smarter, faster, and more effective

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“Whatever product or idea we come up with, it’s very likely that someone else has already created something similar. Unless it’s totally outlandish, it’s almost impossible to create something that doesn’t already have at least one, if not multiple, parallels. To make a product better than all the others, it’s important to first scope out the competition.”

— Universal Principles of UX: 100 Timeless Strategies to Create Positive Interactions between People and Technology (Rockport Universal) by Irene Pereyra a.co/0sPRCVQ

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“To get a product out as quickly as possible, it’s best to release products with the bare minimum amount of features required to see how people will interact with it. Otherwise we run the risk of taking forever to release a very large, bloated, and expensive product nobody wants or needs (see Principle 44).”

— Universal Principles of UX: 100 Timeless Strategies to Create Positive Interactions between People and Technology (Rockport Universal) by Irene Pereyra a.co/bfnENPU

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“Almost everything we design as an interface can be found in the real world, and we already have an expectation of how we are supposed to interact with it (see Principle 62).”

— Universal Principles of UX: 100 Timeless Strategies to Create Positive Interactions between People and Technology (Rockport Universal) by Irene Pereyra a.co/eoQcL6a

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“The worst digital products are universally characterized as having too many choices and options. When designing interfaces, it’s important to create a system that will do most of the heavy lifting and smartly cut out the largest number of frivolous or unimportant options for the user.”

— Universal Principles of UX: 100 Timeless Strategies to Create Positive Interactions between People and Technology (Rockport Universal) by Irene Pereyra a.co/dXa4uUU

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“Choice is good, but too much choice stresses us out and prolongs our decision-making process.”

— Universal Principles of UX: 100 Timeless Strategies to Create Positive Interactions between People and Technology (Rockport Universal) by Irene Pereyra a.co/33mPWG1