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

CIO

Low-code/no-code visual programming tools promise to radically simplify and speed up application development by allowing business users to create new applications using drag and drop interfaces, reducing the workload on hard-to-find professional developers. Vikram Ramani, Fidelity National Information Services CTO.

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How to manage data integration during an acquisition

CIO

Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets. A hybrid cloud approach means data storage is scalable and accessible, so that more data is an asset—not a detriment.

Data 325
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Best Big Data Analytics Tools & Software for 2023

Openxcell

Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics? This blog explains all about Big Data Analytics, its trends, tools and more.

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5 modern challenges in data integration and how CIOs can overcome them

CIO

The growing volume of data is a concern, as 20% of enterprises surveyed by IDG are drawing from 1000 or more sources to feed their analytics systems. This complicates synchronization, scalability, detecting anomalies, pulling valuable insights, and enhancing decision-making. The complexity doesn’t end here.

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A history of tech adaptation for today’s changing business needs

CIO

But to get to this point, the organization has had to rely on technology for decades as a strategic tool. The digitization of internal processes came in 2011, when the company decided to streamline its internal data management, quality control, project management, and communication processes through digital tools and platforms.

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Want AI? Here’s how to get your data and infrastructure AI-ready

CIO

And companies need the right data management strategy and tool chain to discover, ingest and process that data at high performance. Traditionally, data management and the core underlying infrastructure, including storage and compute, have been viewed as separate IT initiatives.

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A Case Study on Building Modern Analytics Architectures That Scale

Datavail

This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. Have you updated your systems to support applications and tools that can scale as you move from SMB to midmarket to enterprise?