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Applications of Artificial Intelligence (AI) in business

Hacker Earth Developers Blog

Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. predicts Forrester Research. Healthcare.

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AIMMO bags $12M Series A to advance data labeling technology  

TechCrunch

Most artificial intelligence models are trained through supervised learning, meaning that humans must label raw data. Data labeling is a critical part of automating artificial intelligence and machine learning model, but at the same time, it can be time-consuming and tedious work.

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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

Why model development does not equal software development. Artificial intelligence is still in its infancy. Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. Models degrade in accuracy as soon as they are put in production.

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Identifying budding big data talent in your company

O'Reilly Media - Data

Big data is often called one of the most important skill sets in the 21st century, and it’s experiencing enormous demand in the job market. Hiring data scientists and other big data professionals is a major challenge for large enterprises, leading many to shift their efforts to training existing staff.

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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. AI and machine learning evolution Lalchandani anticipates a significant evolution in AI and machine learning by 2025, with these technologies becoming increasingly embedded across various sectors.

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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

To help address the problem, he says, companies are doing a lot of outsourcing, depending on vendors and their client engagement engineers, or sending their own people to training programs. In the Randstad survey, for example, 35% of people have been offered AI training up from just 13% in last years survey.

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EarthOptics helps farmers look deep into the soil for big data insights

TechCrunch

Farming sustainably and efficiently has gone from a big tractor problem to a big data problem over the last few decades, and startup EarthOptics believes the next frontier of precision agriculture lies deep in the soil. The $10.3M

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