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Forbes issued a new list of AI 50 2022: North America’s Top AI Companies. The fourth annual list, done in partnership with Sequoia Capital, recognizes most prominent privately-held North American companies making the most interesting and effective use of AI technology.

🔹 IDC research firm confirms that investments in AI research and applications are set to hit $500 billion by 2024.

🔹 PwC predicts AI will contribute $15.7 trillion to the global economy by 2030.

🔹 The newcomer to the list is Hugging Face, a freshly turned $2 billion unicorn. Hugging Face is an open-source platform with plug-and-play ML models used by developers to build features like search, text moderation, image segmentation.

#AI

When Andrey Fillimonov started the research in the field of complex analytics of the mental and physiological state of drivers, potential customers were сonfused. His team was often looked at as people doing who knows what. Now, this technology based on machine learning is becoming the industry standard.

Global CIO spoke to Andrey Fillimonov about the development of AI products and his expectations for this technology in the future.

#AI #MachineLearning

Last month, McKinsey presented the case of the implementation of an advanced analytic system in shrimp aquaculture. An exotic field demanded non-standard solutions. Here’s how McKinsey gained business productivity on the shrimp farm through IoT.

Compared with other industries, shrimp production fell behind in the use of technology across the value chain. Farmers often operated with highly manual processes and information written out with pen and paper.

McKinsey provided an analytics solution and set up a full digital ecosystem comprised of Internet of Things (IoT) equipment such as automatic feeders, sensors, and hydrophones to collect real-time data and standardize feed distribution. Also, the company designed a set of predictive analytics models to optimize the quantity and time of feed and a technical-advisory service that helps implement the solution in the field.

As a result, McKinsey managed to deploy the system across 300 hectares of shrimp ponds, achieving a median increase in biomass of 16% and reducing production cycles by 15%.

For more details, read the case on the company’s page.

#IOT

Gartner published new Essential Guides for Effective Decision Making. In the new research paper, the company points out to which decisions to reengineer and why, how to prioritize analytics and data, when to augment decisions with AI and what role data fabric will play.

Gartner predicts that by 2023, more than one-third of large organizations will have analysts practicing the discipline of decision intelligence. The analysts predict that by 2025, 95% of decisions that currently use data will be at least partially automated and by 2024, data fabric deployments will quadruple efficiency in data utilization.

FDA has approved the first AI smart stethoscope developed by digital health startup Eko. Heartbeat data collected by doctors using Eko's is analyzed by EMAS cloud-based software which helps to detect heart murmurs.

 "The software uses signal processing, such as waveform filtering, as well as algorithms derived from machine learning, to analyze the acquired data and generate clinical decision support output for clinicians," Eko’s spokesperson told.

Recognizing an unusual sound or pattern could be tricky and subjective. It requires careful listening and high qualification of health care professionals. That means valvular heart disease is frequently misdiagnosed or missed entirely. EMAS system proves better than primary care doctors at recognizing signs of heart trouble. Eko claims its EMAS tool can identify the disease with 85 percent accuracy. For comparison, general practitioners using traditional stethoscopes have accuracy within range from 44 to 69 percent.

EMAS is the first of its kind to receive FDA approval.

#AI