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Visible and invisible tech stacks, and the upsides and downsides of “shadow IT” in martech and beyond

chiefmartech

The empirical stack data we recently shared from Zylo, a leading SaaS management platform, showed that even after a year of belt-tightening, the average SMB (500 employees or less) still has 162 SaaS apps. Mid-market companies (500 to 2,500 employees) have 245. And large enterprises have 650. Who is… The Shadow?

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The Responsible Approach to Generative AI

Content Standard

According to a recent Gartner poll of over 2,500 executives, 70% are actively investigating and exploring generative AI, while 19% are already in pilot or production mode. The most anxiety-ridden question I encounter among marketers is how to safely and responsibly leverage generative AI for content creation in light of tech uncertainties.

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This week’s AI-powered martech releases

Martech

Before we dive into the roundup, here’s a quick look at some recent research on AI in the workplace: 60% of seller work will be carried out by generative AI within the next five years, up from less than 5% in 2023, according to Gartner. It merges AI, hyperpersonalization and user-centric data ownership for marketers.

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2023 Predictions: How organizations will transform their martech stacks and digital experiences in the new year

Martech

Even if marketers thought they’d found the perfect formula in the technology and strategies they used in 2022, they still have to switch it up in the new year, for one major reason. New tech platforms, devices and trends will generate new behaviors by consumers, and marketers will have to keep up.

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Why martech integration needs more than technical skills

Martech

Integration is essential when building and optimizing your marketing stack. It creates a more efficient and effective digital ecosystem data that allows marketers to gain real-time insights into campaign performance while providing a holistic view of customers and marketing efforts. Inadequate vendor/product due diligence.

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Gartner: Are Your Ready for More Buyers and the IT to Business Shift?

The ROI Guy

More stakeholders than ever are engaged in enterprise buying decisions. According to Gartner, the average enterprise technology buying team now includes more than 13 people ! Now, Gartner research indicates that a meager 1 in 5 of the decisions are led by IT people.

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Data Cleansing Automation: Enhancing Efficiency and Reducing Manual Efforts

Only B2B

This precision is not just a luxury but a necessity; according to Gartner, organizations lose $15 million annually due to poor data quality. Moreover, automated data cleansing accelerates processes, leading to considerable time and cost savings. IBM estimates that poor data quality costs the US economy $3.1 trillion annually.