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Will artificial intelligence affect how much you pay for basic goods and services?

AI has the potential to make most of our everyday goods and services cheap—or even free—in as little as a decade

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Could gamification get workers to actually use AI?

Artificial intelligence has become more common in our personal lives, but what about in the workplace?

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Machine learning: How to go from theory to reality

A lack of skilled people continues to stymie the AI revolution. That’s why smart companies invest as much in cultural change as technology adoption—and Google shows how

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The cloud in 2019: Multicloud, serverless computing, and Kubernetes containers

Enterprises are quickly moving up the cloud stack, away from infrastructure services

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Too big to survive: There is no bailout for technical debt

Technology can have both a positive and negative impact to the bottom line, and properly managed debt can be the differentiator

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Business can’t win without developers, but you need more

A surprising survey shows that lack of software development capabilities is the top inhibitor to business success. So, how do you fix that?

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Your CRM’s asymmetric relationship: hindering potential, attracting regulation

The CRM is greedy when it comes to collecting data, but stingy when it comes to sharing it

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Why containers are like Google Docs

Each generation of technology has made collaboration easier, containers are just the latest iteration in managing the content on a server, and their strikingly similar to the business value in online document collaboration

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How artificial intelligence is reshaping the insurance industry

Artificial intelligence is changing the world of insurance, improving underwriting and accessibility while making it more affordable for consumers. In the future, it may be able to make insurance obsolete

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Scale out and conquer: Architectural decisions behind distributed in-memory systems

Open source solutions hold the key to a cost-effective, unified architecture for leveraging in-memory computing

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Machine learning: When to use each method and technique

What exactly can you do with machine learning? We explain the various methods and techniques available to you

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The impact of hybrid IT on accelerating application releases

Leveraging the automation built for the hybrid environment to support enterprise application release acceleration helps the business keep pace with competitors by allowing faster innovations, while keeping IT operations from becoming...

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Why you need to change your monolithic architecture

Knowing why you need to change your architecture is both more important than—and the key input to —how, And the why is probably different that you think

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Why monday.com Is The Universal Team Management Tool for Your Team

This platform is perfect for teams sized at 2 to 200 — and gives every employee the same level of transparency.

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In-memory data grids vs. in-memory databases

Selecting the right option for accelerating applications can reduce complexity and save time and money

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Summer reading: where data has driven us thus far in 2018

Establishing customer trust has become the new business focus in the era of data collection

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Cloud computing 2018: How enterprise adoption is taking shape

Research: Nine out of ten companies will have some part of their applications or infrastructure in the cloud by 2019, and the rest expect to follow by 2021. Here’s how they’re making the shift

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Artificial intelligence will close the gap on latency in telecommunications

Artificial intelligence is turning out to be the answer to most of our technological problems

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