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Should you build or buy generative AI?

CIO

For generative AI, that’s complicated by the many options for refining and customising the services you can buy, and the work required to make a bought or built system into a useful, reliable, and responsible part of your organization’s workflow. Since the release of ChatGPT last November, interest in generative AI has skyrocketed.

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The State of Tech: 4 Trends to Watch in 2022

Mentormate

Sure, you might get lucky and find the right person with the right skills in the right geography, but it’s not realistic to scale up and retain a larger engineering organization that way. Only the largest engineering organizations have the scale to make this kind of continuous investment. Where Did All the People Go?

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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

There is often a need to verify the reasoning of such ML systems to hold algorithms accountable for the decisions predicted. Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g.,

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Fleet Maintenance Software: Technology Behind Preventive and Predictive Vehicle Servicing

Altexsoft

And breakdowns are just too expensive, especially at a fleet-wide scale (not to mention risking drivers’ lives, losses due to unfulfilled contracts and related downtime, and customer dissatisfaction). Taking good care of your fleet assets pays off by prolonging their lifecycle, increasing efficiency, and reducing the probability of failures.

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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. “Control towers are the artificial intelligence (AI) of supply chain. Everyone wants to have it, but nobody quite knows how it works.” Christian Titze, vice president analyst at Gartner.

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The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. What does the high-performance data project have to do with the real Franz Kafka’s heritage?

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. There are two main approaches to demand planning: Traditional statistical methods make forecasts based on historical data and assume the continuation of existing trends. Supply chain management process. Everything starts with a plan.