Top Tech News Today: PwC Reports an Over 20% Increase in AI-ML Usage by Indian Manufacturing Firms. Hidden Crypto Treasures That Could Make You Rich in 2023

Top Tech News Today: PwC Reports an Over 20% Increase in AI-ML Usage by Indian Manufacturing Firms. Hidden Crypto Treasures That Could Make You Rich in 2023

Indian Manufacturing firms Embrace AI-ML usage to Boost Productivity and Innovation

Good morning tech fam, here are some quick tech updates for you to catch on to!

What's New Today: Rapid7 Restructures, Resulting in Job Losses and Office Shutdowns

Fast-Track Insights: Hidden Crypto Treasures that Could Make You Rich in 2023

A survey released on Tuesday by international consulting company PwC found that over the past two years, manufacturing organizations in India have increased their usage of artificial intelligence and machine learning (AI/ML) solutions by over 20%. The adoption and deployment of AI/ML solutions in this area have increased at the highest rate during the last two years, from mid-2020 to 2022–2023 according to the report. Additionally, a lot of these businesses began using AI/ML in the 12 to 18 months that followed the pandemic, and they have seen the greatest ROI from AI in three business functions: manufacturing and operations, supply chain and logistics, and IT and cybersecurity, according to PwC research.

The Boston-based company Rapid7 is the latest cybersecurity provider to announce layoffs; the reorganization plan, which would result in an 18% drop in employee headcount, was announced late on Tuesday. Based on the estimated 2,700-person headcount at the end of 2022, with more than 700 individuals working at its Boston headquarters, around 500 employees might be impacted. Additionally, the business stated in an SEC filing that it will close several office locations, although it made no mention of how many offices or which sites would be eliminated.

An innovative smartphone app that uses machine learning and AI to precisely identify the physical symptoms of strokes was discussed by researchers at the 20th Annual Meeting of the Society of Neurointerventional Surgery. Researchers from the UCLA David Geffen School of Medicine and many medical facilities in Bulgaria participated in the study titled "Smartphone-Enabled AI Algorithms for Autonomous Stroke Detection." They gathered information from 240 stroke patients at four large stroke centers. The researchers used cell phones to capture videos of the patients and evaluate their arm strength within 72 hours of their symptoms arising to spot evidence of facial asymmetry, arm weakness, and speech abnormalities, which are frequently linked to strokes. Read More

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Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.

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