Forrester IT
JUNE 30, 2021
Horizontal business applications — as mature as they are — don’t fully support industry-specific workflows that span the front and back office. Verticalization is back! Manufacturers must track projects, schedules, time sheets, and labor efficiencies that are not core to CRM or inventory management.
Forrester IT
JUNE 26, 2020
I’ve been researching B2B pricing and its important role in digital transformation for industrial manufacturers. Industrial manufacturers already manage a complex matrix of price lists. New “as a service” business models offer opportunities for manufacturers, but they can also increase margin risk.
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Forrester IT
MAY 5, 2021
At Forrester we are tightening up our previous definition of an industrial IoT software platform, to focus on connecting, securing, and managing physical devices. We are introducing a new term, the digital industrial platform, to address the broader requirements and use cases around advanced analytics, customer-facing applications, etc.
Forrester IT
MARCH 15, 2021
With the recent announcement that Dapr has reached its first production-ready release, we finally see a viable response to Istio and perhaps the rest of the service mesh industry from Microsoft. If you’re not familiar, Dapr is a coding framework intended to solve the challenges of modern distributed applications.
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IT Toolbox
AUGUST 18, 2023
The many benefits of becoming data-centric instead of application-centric. The post Why the Airline Industry Must Shift to a Data-centric Mentality appeared first on Spiceworks.
Forrester IT
JANUARY 22, 2024
It’s that time of year again, when many clients are in phase 0 or what Forrester calls a pre-RFP assessment period of strategically planning of what to do with their legacy enterprise HCM and Finance applications or contemplating massive HR and Finance operations transformation, we highly encourage all LE and ME organizations to read our […] (..)
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USMT is a toolkit and specifically won’t transfer applications, a mismatch between IT needs and USMT functionality. The survey asked participants about implementation difficulty, application transfers, vendor assistance, IT labor costs, and technical support.
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These failures can also significantly erode human trust in AI, rendering it ineffective for real-world applications in many industries. This could mean a catastrophic failure by the system down the line, especially without proper guardrails. With the rising stakes, AI systems must be built to be humble, just like humans.
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