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5 tips for startup partnership success

CIO

IT leaders looking to accelerate their innovation agendas have a partner-in-waiting in the startup ecosystem. By linking up with startups, CIOs can greatly expand their opportunities to experiment with emerging technologies and augment their in-house innovation programs.

Startups 654
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The Inside Startup: Meet Cisco’s Emerging Technologies and Incubation Group

CIO

Startup” means risk. But despite the high risk/reward framework, these Victory-or-Bust ventures don’t have the market cornered on agility and innovation. But despite the high risk/reward framework, these Victory-or-Bust ventures don’t have the market cornered on agility and innovation. Why not both?

Startups 325
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Your Generative AI strategy could use a startup’s touch

CIO

Consequently, organizations are seeking first-mover or at least fast-follower advantages—not unlike startup businesses looking to disrupt industries. Your GenAI strategy playbook Startups, of course, move quickly because their ability to be nimble and strategic determines their long-term viability. Learn from past mistakes.

Startups 680
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IT Hardware Startups Turn to Data Analytics for Market Research

Smart Data Collective

Hardware Providers Use Marketing Analytics to Get a Better Handle on their Customers Starting an IT hardware company may be an exciting adventure full of innovation and potential. Startups require a solid foundation founded on extensive market research to flourish in this volatile climate. What are their advantages and disadvantages?

Startups 254
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Assembly required: 8 myths about knowledge management debunked

CIO

With the dawn of generative AI, management gurus continue pitching concepts of turnkey “learning organizations,” and “knowledge management.” It focuses on maintaining and utilizing existing knowledge resources to enhance learning, decision-making, and innovation.

Knowledge 606
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Top 8 Machine Learning Development Companies in 2022

Smart Data Collective

There are a number of great applications of machine learning. The main purpose of machine learning is to partially or completely replace manual testing. Machine learning makes it possible to fully automate the work of testers in carrying out complex analytical processes. Machine learning is used in many industries.

Learning 242
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4 ways AI will change the ITOps landscape in 2024

CIO

Those prepared to embrace the change with a robust plan for managing the risks will be best placed to take advantage. That means developer-focused startups not affiliated with a major data source will fail to compete with offerings like GitHub Co-Pilot. We’ll also see more scrutiny placed on the GenAI providers themselves.

Startups 644