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Low code/no code tools reap IT benefits—with caveats

CIO

Here are some examples of how IT pros are using low code/no code tools to deliver benefits beyond just reducing the workload on professional developers. A September 2021 Gartner report predicted that by 2025, 70% of new applications developed by enterprises will use low-code or no-code technologies, up from less than 25% in 2020.

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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

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Flexagon 2023: The Roadmap

Flexagon

Before we look ahead, let us appreciate how much we have evolved in delivering on our founders’ vision to simplify the complexity of deploying changes to Enterprise Software Platform Technologies. Looking Back to 2022 : Transforming Developer Productivity In the past year, we aspired to transform developer productivity and transform your business.

UI/UX 78
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B2B Travel Platform For Corporate Travel Management

Altexsoft

.” It has become an integral tool, ensuring the travelers’ comfort and the operations’ cost-effectiveness and efficiency. This guide delves deep into the specifics of building a custom B2B travel booking platform specifically tailored for corporate travel. Legacy GDS limitations. Different booking flow.

Travel 52
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3 Reasons You Should Add AIOps to Your Tooling Arsenal

OverOps

For now, teams have already started applying some ML to in-house monitoring practices, and some have adopted off-the-shelf AI solutions like Splunk’s IT Service Intelligence or Moogsoft’s AIOps tool. AIOps seems to be all the rage these days, and it’s not hard to figure out why. Let’s do it. NEW POST ??

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3 Reasons You Should Add AIOps to Your Tooling Arsenal

OverOps

For now, teams have already started applying some ML to in-house monitoring practices, and some have adopted off-the-shelf AI solutions like Splunk’s IT Service Intelligence or Moogsoft’s AIOps tool. AIOps seems to be all the rage these days, and it’s not hard to figure out why. Let’s do it. NEW POST ??

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What you need to know about product management for AI

O'Reilly Media - Ideas

Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models. You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door.