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Machine learning model serving architectures

Xebia

After months of crunching data, plotting distributions, and testing out various machine learning algorithms you have finally proven to your stakeholders that your model can deliver business value. Selecting the right architectural serving pattern is paramount in creating the most business value from your model.

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AI bots for customer experience: trends, insights, and examples

CIO

Here’s an example of how this could work: A customer calls his car insurance company after being in a minor fender bender. Could we see an increase in reverse handoffs where customers go from agent to bot? Yes, especially as processes near completion so that agents can free up more time.

Examples 287
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What you don’t know about data management could kill your business

CIO

IT leaders take note: At your likely current trajectory, your organization is the Titanic and its data is the iceberg. To avoid the inevitable, CIOs must get serious about data management. Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy.

Data 290
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Data Minimization as Design Guideline for New Data Architectures

Data Virtualization

IT excels in copying data. It is well known organizations are storing data in volumes that continue to grow. However, most of this data is not new or original, much of it is copied data. For example, data about a.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.

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Why Choose a Composable Architecture

Perficient

If you’ve been following Sitecore’s architectural movement over the last few years, a lot has changed. However, with a composable architecture, your organization can easily utilize another enterprise product in place of Sitecore’s offering, and this kind of flexibility is integrated into the very nature of a composable architecture.

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The Top Three Entangled Trends in Data Architectures: Data Mesh, Data Fabric, and Hybrid Architectures

Cloudera

Data teams have the impossible task of delivering everything (data and workloads) everywhere (on premise and in all clouds) all at once (with little to no latency). Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data mesh defined.