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A two-minute read alerting you to the latest trends from around the world advancing technology and innovation and building the workforce of the future, curated by the NMTC's Technology Education Committee. (TEC)

 Technologies we are tracking this calendar quarter are (suggest ed by members to This email address is being protected from spambots. You need JavaScript enabled to view it.):

3D and 4D Printing
Artificial Intelligence
Autonomous Vehicles
Battery Technology


Cloud Technology
Cybersecurity Hyperautomation
Machine Learning
New Materials
 

Predictive Analytics
Robotics
Synthetic Chemistry
TeleHealth
Voice Search Technology

WHAT IS IT?
Body-worn cameras will be able to instantly identify people in a crowd, even if they wear masks or camouflage, and match them to photographs dating back decades

WHY IMPORTANT
Facial recognition in law enforcement has the ability to track down criminals or missing persons with a body-worn police camera that could instantly identify people in a crowd, even if they wear masks, make-up or camouflage, and could match them to photographs dating back decades.

The facial recognition industry was worth about $3.7 billion in 2020, according to market research firm Mordor Intelligence, which projected growth to $11.6 billion by 2026.

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EXTRA - Unlock Windows laptop with your face Click HERE

WHAT IS IT?
There is a solution for our new remote reality: asynchronous work. With almost one-quarter of office jobs are fully remote, millions of people are no longer stuck in offices and distributed work—whether it’s hybrid or 100% distributed—is more widely accepted for many careers. But the world had never been built for distributed teams or remote work. We’ve always been told to go to the office, see people face-to-face, use the tools provided by the company, and do our best to stay afloat.

WHY IS IT IMPORTANT
Companies are waking up to the current problems with distributed work and see the need for more flexible solutions. For example, constant messaging from an app like Slack can cause anxiety for teammates in other time zones, when they receive pings throughout all hours of the night or even on weekends. Being on Zoom all the time leads to people having to join meetings late at night or early in the morning.

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WHAT IS IT?
The Global Counter Unmanned Aerial Vehicle (UAV) Defense System Market from 2021 to 2027 research focuses on a global analysis of existing market trends, providing clients with an accurate view of the market and assist them in formulating development plans.

WHY IS IT IMPORTANT

The approach helps decision-makers to develop cost-effective business plans that will help them survive in the long run. It offers end-users a thorough and accurate analysis of developments, as well as the identification of high-growth regions, segmentation, and regional analysis, all of which will help them build market strategies. It offers a thorough examination of the Counter Unmanned Aerial Vehicle (UAV) Defense System market segments: Detection Systems, Detection and Disruption Systems.  he market is also segmented based on International Defense, Homeland Security and Others

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WHAT IS IT?
Artificial intelligence, which is also abbreviated as AI, refers to the branch of computer technology that focuses on developing machines that have the capacity and intelligence to replicate or copy human functions as closely as possible. They are usually employed for such functions as speech recognition, planning of tasks, learning and solving diverse problems in different professions.

WHY IT IS IMPORTANT

There are appreciable advantages associated with the use of AI, coupled with some drawbacks that could be highly destructive in the wrong hands at a scale unimaginable, both existing and forecasted by experts and enthusiasts. Explained as Pros and Cons.

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WHAT IS IT?

Changes in how we work, where we work, who we work with, why we work, and the technologies we use are in continual flux. Many of these changes started prior to the pandemic, were accelerated by it, and have become permanent aspects of the workplace.

WHY IMPORTANT

Example of one of the Ten Trends: 5 Skills Based Hiring Is on the Rise

Being able to demonstrate one’s competency in these new skills has become the currency for talent mobility, as degrees have shown to be a bad proxy for possessing in-demand skills. In fact, Glassdoor reports that 15 companies ranging from Google to Hilton Hotels and Apple, are offering well-paying jobs to those possessing in-demand skills but lacking a degree.

More companies are piloting skills-based hiring, or the practice of setting specific skills and competency requirements for a job rather than only looking at a candidate’s credentials. Skills based hiring expands the prospective talent pool but also allows internal employees opportunities greater visibility into their career mobility by providing them with educational pathways for specific industries and job functions.

 

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WHAT IS IT?

The latest report of the industry and main market trends with historical and forecast market data, demand, application details, price trends, and company shares of the leading 3D Facial Recognition Systems by geography. This report also studies the 3D Facial Recognition Systems market status, competition landscape, market share, growth rate, future trends, market drivers, opportunities and challenges, sales channels, and distributors. The report splits the market size, by volume and value, based on application, type, and geography.

 

WHY IMPORTANT

In-depth competitive landscape and detailed company profiles helps you benchmark technological advancement, business strategies, market development activities, and the latest innovation in products/services offering. Also, market research gaps and opportunities revealed and recommended in such a way to reduce the risk to make the company’s marketing strategy cost-effective for business.

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WHAT IS IT?

This report segments the global Artificial Intelligence in Machine Learning market comprehensively and provides the closest approximations of the revenues for the overall market and the sub-segments across different verticals and regions.

 

– Google

– Baidu

– IBM

– Microsoft

– SAP

– Intel

– Salesforce

– Brighterion

– KITT.AI

– Albert Technologies

– H2O.ai

– Brainasoft

– Yseop

– Ipsoft

– NanoRep(LogMeIn)

– Ada Support

– Astute Solutions

– IDEAL.com

 

Artificial Intelligence in Machine Learning Market Segment by Application:

 

– BFSI

– Retail

– Telecommunication

– Manufacturing

– Defense

– Automotive

 

 

WHY IMPORTANT

The study report offers a comprehensive analysis of Artificial Intelligence in Machine Learning Market size across the globe as regional and country level market size analysis, CAGR estimation of market growth during the forecast period, revenue, key drivers, competitive background and sales analysis of the payers. Along with that, the report explains the major challenges and risks to face in the forecast period. Artificial Intelligence in Machine Learning Market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence in Machine Learning Market will be able to gain the upper hand as they use the report as a powerful resource.READ MORE

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WHAT IS IT?

Machine learning has become a buzzword in the industrial sector. It starts from boosting the optimization of business processes to powering a wide array of personal devices on edge, ML technology has come a long way from transforming industrial operations to becoming part of our daily lives. ML’s recent applications have gained it a large fan following.

WHY IMPORTANT

Following these machine learning influencers can help other tech fanatics to stay ahead in the industry and deepen their knowledge. Here is a list of the top machine learning influencers that tech fanatics can follow in 2022.

 

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Northeastern Maryland Technology Council
2021 Pulaski Hwy, Suite D, Havre de Grace, MD 21078
410-638-4466

John W. Casner, Executive Director
john.casner@nmtc.org

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