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10 Stages of the software development lifecycle for startups

Dataconomy

Creating apps for startups is primarily the carefully thought-out tasks that make up the software development process. Let’s take a closer look at the key stages of software development for startups. The main stages of the software development life cycle include: 1. Idea Any software development starts with an idea.

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From Cloud to Customer

CIO Business Intelligence

Why Cloud Platforms Matter to Marketing Leaders According to IDC, 89% of marketing campaign management applications in Europe are now cloud based rather than on premises. Marketing is becoming digitally transformed through the adoption of new cloud-based marketing applications.

Cloud 97
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Custom eBook Reader App: Your Brand, Enhanced Reading

Kitaboo

Consider immersing yourself in a pleasurable reading experience only to be interrupted by a random advertisement placed in a way that makes it difficult to close. A white label branded eBook reader app is a platform that has been developed by third-party developers but leased/licensed to other enterprises for use.

eBook 78
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Putting programmatic ad management in perspective

CTOvision

Editor's note: Automating digital media trading can bring major operational efficiencies, but we’re only at the start of the curve for programmatic ad management which to date accounts for just a small fraction of overall marketing budgets. Advertising will always remain a combination of art and science. For now, at least.

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The most promising pitches from Techstars Seattle Demo Day 2024

GeekWire

That’s the promise of Planette, which is developing AI-boosted forecasting technology using the predictability of the ocean. certainly has the most interesting day job out of the cohort — and one that is directly applicable to his startup idea. But not every company has the engineering know-how and budgets to build copilots.

B2C 115
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Chief AI officer: What it takes to land the C-suite’s hottest new job

CIO Business Intelligence

They should be able to work collaboratively with many departments in developing AI strategy and vision, and they should be able to design and target relevant business use cases, assess project outcomes, and measure ROI in each case. Some will state that they go by the CEO/CFO-set budget, and still seek sign-off at the board level.

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How next-gen automation is helping recruiters to identify qualified talent at scale

CIO Business Intelligence

Intelligent tools based on AI can gather relevant data on candidates, make it available to recruiters, and then process it accurately to speed up and streamline multiple sub-processes, including candidate sourcing, screening, diversity and inclusion, interviews, and applicant tracking. When can recruiting automation go wrong?