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Trends 2024: Artificial Intelligence

Enterra Insights

Digital transformation is an ongoing process so we can expect to see this year’s breakthrough trends continuing to shape society into next year.”[1] ”[1] Below are a few of the trends experts have identified in the artificial intelligence field. Artificial Intelligence Trends Rise of the Prompt Engineer.

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Harnessing Data Analytics to Fuel Business Growth

Silvon Software

Without analytical tools and methodologies, navigating through vast amounts of data can be overwhelming. Nonetheless, when harnessed through analytics, data transforms into a powerhouse of valuable insights. Data stands as the cornerstone of the global economy, offering significant leverage to businesses poised for expansion.

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5 Trends Changing Supply Chains for the Better in 2024

Logility

Enter our list of supply chain trends for 2024. Beyond making mere predictions, our executives compiled trends based on analyst insights and their observations of real-world supply chain operations worldwide. Volatility intensifies, supply chain decision-making evolves Trend #1: This year will be volatile – possibly more than 2023.

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Trends 2022: Quantum Computing

Enterra Insights

Quantum Computing Trends. 2] Samhitha Sharma, “ Quantum Computing in 2022: A Leap Into the Tremendous Future Ahead ,” Analytics Insight, 2 January 2022. [3] 2] Samhitha Sharma, “ Quantum Computing in 2022: A Leap Into the Tremendous Future Ahead ,” Analytics Insight, 2 January 2022. [3] ”[3].

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GEP Procurement & Supply Chain Tech Trends Report

And for procurement and supply chain leaders looking to harness the power of technology to navigate complex challenges and an uncertain business environment, keeping up with the latest trends can be its own obstacle. So, what’s on the technological horizon for procurement and supply chain for the year ahead?

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Trends 2021: Machine Learning

Enterra Insights

”[3] Below are some of the machine learning trends subject matter experts predict will have an impact in the coming year. Trends in machine learning. TinyML encompasses technologies capable of performing on-device analytics garnered from sensor data at low power. Machine learning and the Internet of Things (IoT).

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Business Advantages of Advanced Analytics

Enterra Insights

Violino notes, “It’s one thing to gather large amounts of data and apply analytics to it; lots of organizations are doing that. ” Corporate leaders are always seeking the best return on investment (ROI) and, in the digital era, no investment return is more important than one obtained through advanced analytics.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.". Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.

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Gartner's Market Guide for Data Analytics and Intelligence Platforms in Supply Chain

Gartner observes several trends in this market for data analytics and intelligence. One overarching theme is the convergence of analytics & BI, data science and AI. This report covers market analysis on: Supply chain specific market trends - what are supply chain organizations looking for?