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Fire Your Super-Smart Data Consultants with DataOps

DataKitchen

There’s no shortage of consultants who will promise to manage the end-to-end lifecycle of data from integration to transformation to visualization. . Companies end up paying outside consultants enormous fees while still having to suffer the effects of poor data quality and lengthy cycle time. . Here is where the loss of control begins.

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The DataOps Vendor Landscape, 2021

DataKitchen

Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Testing and Data Observability. Production Monitoring and Development Testing.

Testing 300
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7 risk management rules every CIO should follow

CIO Business Intelligence

Rule 1: Start with an acceptable risk appetite level Once a CIO understands their organizations risk appetite, everything else strategy, innovation, technology selection can align smoothly, says Paola Saibene, principal consultant at enterprise advisory firm Resultant. Most important, this plan should be tested and refined regularly.

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AI-native software engineering may be closer than developers think

CIO Business Intelligence

Caylent, an AWS cloud consulting partner, uses AI to write most of its code in specific cases, says Clayton Davis, director of cloud-native development there. This agentic approach to creation and validation is especially useful for people who are already taking a test-driven development approach to writing software,” Davis says.

Software 141
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10 AI strategy questions every CIO must answer

CIO Business Intelligence

The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the hype , AI is three to five years away from becoming a reality for most firms. Am I engaging with the business to answer questions?

Strategy 141
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The Quality of Auto-Generated Code

O'Reilly on Data

We know how to test whether or not code is correct (at least up to a certain limit). Given enough unit tests and acceptance tests, we can imagine a system for automatically generating code that is correct. But we don’t have methods to test for code that’s “good.” There are lots of ways to sort.

Testing 363
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5 common consultant negotiation tactics and how to protect your interests

CIO Business Intelligence

To execute a successful digital transformation initiative, you are likely to establish consulting provider relationships. Unfortunately, many organizations find themselves susceptible to the tactics used by consultants to manage their risk and optimize a commercial arrangement to their benefit. This takes planning.