ON-THE-GO PRECISION FARMING WITH NIRS IMAGING

May 11, 2019

As an industry, agriculture is vulnerable to a myriad of environmental and climactic conditions that can positively or negatively impact production. Along with experience and commitment, timely decision-making is a key success factor for agriculture. Thus, capabilities such as in-depth examination and analysis of commercial harvest along with its quality control have become increasingly important. Advances in farming equipment are also helping agri-companies shift to cost-effective, easily available and manageable assets. One such technology - near- infrared spectroscopy (NIRS) - is a versatile and well-established technique for quantifying and qualifying analytics that is finding application in farming.

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ICC: Information Control Company

ICC is changing the way companies solve their business challenges, and the above principles dictate our solutions. This approach inspires intelligent, precise technology that addresses the human need. Three practice areas give ICC the necessary latitude to overcome the complex challenges that businesses face.

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Embedding AI-powered Analytics Into Your Application

whitePaper | September 28, 2022

Your customers need more than dashboards. They need instant, actionable insights and analytics. And you need to offer more than basic analytics to futureproof your application. Learn how embedding AI-powered analytics gives you a sustainable competitive advantage. Download the complete guide today.

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The future of AI is hybrid

whitePaper | May 15, 2023

The future of AI is hybrid. As generative AI adoption grows at record-setting speeds1 and drives higher demand for compute,2 AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential – just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices. A hybrid AI architecture distributes and coordinates AI workloads among cloud and edge devices, rather than processing in the cloud alone. The cloud and edge devices, such as smartphones, vehicles, PCs, and IoT devices, work together to deliver more powerful, efficient, and highly optimized AI.

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Artificial Intelligence in Talent Assessment and Selection

whitePaper | December 1, 2021

The health and vibrancy of our national economy depends on the health and vibrancy of our organizations. How an organization is staffed is a key driver of its health. Yet only one in three executives rates his or her company as “very effective” at reducing unsuccessful hiring decisions (Bravery et al., 2019). Thus, industrial-organizational (I-O) psychologists help organizations thrive by choosing the right talent for the right job at the right time, using the most accurate, cost effective, and fair tools available (Ployhart, Schmitt, & Tippins, 2017).

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Low-Code Analysis

whitePaper | December 22, 2022

This study is promoted by Mobile World Capital Barcelona and NTT DATA in the framework of the Barcelona Digital Talent alliance. Mobile World Capital Barcelona is an initiative driving the digital advancement of society while helping improve people’s lives globally.

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Successfully implement and operationalize machine learning models to optimize and accelerate credit decisions

whitePaper | May 4, 2022

The pandemic has brought about significant economic disruption, thereby increasing the need for banks and financial institutions to be more agile. However, Covid-19 is not the only factor that drives automation and digitalization in the credit and lending process in credit institutions. Incumbent banks are increasingly facing pressure from neobanks, these having the strategic advantage of being “born digital”. In addition, customers demand fully digitalized processes with regard to the ease of use and fast turnaround times.

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White Paper:Intelligent Networking, AI and Machine Learning

whitePaper | June 7, 2022

Telecoms need to be able to incorporate new technologies and next-generation connectivity such as 5G to customers and end users. To achieve these ambitious goals, they need to optimize their networks – make them more intelligent if you will. Some of the tools needed include artificial intelligence (AI), machine learning (ML) and artificial intelligence operations (AIOps). This document will explore what intelligent networking means to telecoms, vendors and customers, and how AI and ML technologies and tools can be used, the cultural shifts the industry needs to make it a success, and what to bear in mind when deploying machine learning across a telecom network.

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ICC: Information Control Company

ICC is changing the way companies solve their business challenges, and the above principles dictate our solutions. This approach inspires intelligent, precise technology that addresses the human need. Three practice areas give ICC the necessary latitude to overcome the complex challenges that businesses face.

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