#Axon AI and drone technology

[apieinvestavimapaprastai]

Explore Axon Enterprise ’s stock forecast for 2025–2029, with insights on financial performance, technical analysis, and investment tips. #AxoEnterprise #AXON #AXONstock #publicsafetytechnology #stockpriceforecast #investmentanalysis #TASERbodycameras #AItechnology #stockvaluation #recurringrevenue

[differenttimemachinecrusade]

Law Enforcement Software Market Research Report: Industry Insights and Forecast 2032

Law Enforcement Software Market was valued at USD 15.5 billion in 2023 and is expected to reach USD 36.9 Billion by 2032, growing at a CAGR of 10.13% from 2024-2032

Law Enforcement Software Market is experiencing rapid growth due to increasing security concerns, advancements in digital technologies, and the growing need for efficient crime management solutions. The rise in cyber threats, data-driven policing, and real-time surveillance are further fueling the adoption of innovative software solutions. Governments and law enforcement agencies worldwide are leveraging technology to enhance public safety, optimize investigations, and improve operational efficiency.

Law Enforcement Software Market continues to evolve as agencies shift towards cloud-based solutions, artificial intelligence (AI)-powered analytics, and integrated data management systems. With the demand for predictive policing, biometric authentication, and automation in evidence handling, technology providers are continuously innovating to meet the sector's needs. As crime patterns become more sophisticated, law enforcement agencies require advanced software solutions for real-time monitoring, case management, and data security.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3726 

Market Keyplayers:

Axon - Axon Evidence

Motorola Solutions - CommandCentral

Tyler Technologies - New World ERP

IBM - IBM i2 Analyst’s Notebook

Oracle - Oracle Public Safety Solutions

Palantir Technologies - Palantir Gotham

NICE Ltd. - NICE Investigate

Hexagon Safety & Infrastructure - HxGN OnCall

SOMA Global - SOMA Dispatch

Omnigo Software - Omnigo Report

CentralSquare Technologies - CentralSquare RMS

RapidDeploy - Nimbus CAD

ShotSpotter - ShotSpotter Connect

Mark43 - Mark43 RMS

Lexipol - Knowledge Management Platform

Genetec - Genetec Clearance

Cellebrite - Cellebrite UFED

Esri - ArcGIS for Public Safety

Visonix - VISIOPAQ

Tritech Software Systems - Inform RMS

Market Trends Driving Growth

1. Integration of AI and Predictive Analytics

Artificial intelligence and predictive analytics are transforming law enforcement by enabling data-driven decision-making. AI-powered crime mapping, facial recognition, and predictive policing are helping agencies anticipate and prevent criminal activities more effectively.

2. Cloud-Based Law Enforcement Solutions

Many agencies are shifting from traditional on-premise software to cloud-based solutions, allowing for seamless data access, real-time collaboration, and improved scalability. Cloud platforms also enhance cybersecurity measures, ensuring sensitive law enforcement data remains protected.

3. Real-Time Surveillance and IoT Integration

The adoption of Internet of Things (IoT) devices, such as body cameras, drones, and smart sensors, is enhancing real-time surveillance and evidence collection. These tools provide law enforcement personnel with live feeds and automated alerts for quicker response times.

4. Biometric and Digital Identity Verification

Advanced biometric technologies, including fingerprint scanning, facial recognition, and iris scanning, are improving suspect identification and case resolution. These solutions help streamline investigations and minimize human errors in law enforcement operations.

5. Cybercrime and Digital Forensics Advancements

With cybercrime on the rise, law enforcement agencies are investing in advanced digital forensic tools to analyze cyber threats, track digital footprints, and secure electronic evidence. AI-driven forensic software is helping agencies combat cyber fraud, identity theft, and ransomware attacks.

Enquiry of This Report: https://www.snsinsider.com/enquiry/3726 

Market Segmentation:

By Component

Solutions

Computer-Aided Dispatch

Record Management

Case Management

Jail Management

Incident Response

Digital Policing

Others

Services

Implementation

Training and Support

Consulting

By Deployment

On-premises

Cloud

By End-User  

Police Departments

Law Enforcement Agencies

Federal and State Agencies

Municipalities

Correctional Facilities

Market Analysis and Current Landscape

Key drivers of this growth include:

Increasing Security Concerns: The rise in cyber threats, terrorism, and organized crime is driving the demand for advanced law enforcement solutions.

Government Initiatives and Funding: Governments worldwide are investing heavily in technology to enhance public safety and law enforcement capabilities.

Rising Adoption of AI and Automation: AI-powered analytics, automation in reporting, and digital evidence management systems are improving efficiency.

Need for Secure Data Management: With vast amounts of sensitive data being handled by law enforcement agencies, secure and encrypted software solutions are becoming a necessity.

However, challenges such as high implementation costs, data privacy concerns, and integration complexities with existing systems remain. Nevertheless, the industry is addressing these issues through continuous innovation and regulatory compliance improvements.

Future Prospects: What Lies Ahead?

1. Expansion of Smart Policing Initiatives

The future of law enforcement will be driven by smart policing initiatives that integrate AI, big data, and IoT for enhanced crime prevention and response strategies. More cities worldwide are adopting smart security systems for real-time threat detection.

2. Blockchain for Secure Data Management

Blockchain technology is expected to play a vital role in ensuring secure data sharing among law enforcement agencies. By providing tamper-proof records and encrypted transactions, blockchain can enhance evidence security and case management.

3. Growth of Mobile Policing Applications

Mobile-based law enforcement applications are gaining popularity, allowing officers to access databases, file reports, and conduct background checks remotely. These apps improve field operations and response times.

4. AI-Powered Voice and Image Recognition

AI-driven voice and image recognition tools are becoming crucial for identifying suspects, analyzing audio evidence, and detecting fraudulent activities. These tools will continue to refine law enforcement methodologies.

5. Increasing Focus on Cybersecurity

As law enforcement agencies rely more on digital platforms, the risk of cyber threats also increases. Future advancements will focus on developing stronger cybersecurity frameworks, encrypted communication systems, and AI-based threat detection solutions.

Access Complete Report: https://www.snsinsider.com/reports/law-enforcement-software-market-3726 

Conclusion

The Law Enforcement Software Market is undergoing a rapid transformation, driven by technological advancements, evolving security challenges, and increased government investments. As law enforcement agencies continue to embrace AI, automation, and data-driven solutions, the future of crime prevention and investigation looks more efficient and precise. With the ongoing integration of smart technologies, the sector is poised for substantial growth, ensuring enhanced public safety and operational excellence in the years to come.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[mattbrown8601]

List of the Best and Worst Stocks of 2022

There are a few lists you can look through to learn more about the best stocks for the coming year, whether you want to start investing in stocks or learn more about companies you might be interested in investing in. The list of 2022's Top and Bottom Companies' Stocks is one list I've enjoyed reading. It includes both well-known and reputable businesses as well as relatively unknown ones.

ServiceNow

Investors are gravitating toward defensive stocks during a period of economic uncertainty. These stocks are able to withstand rising interest rates and inflation. Due to their clean balance sheets, these businesses are less susceptible to recessionary effects. Additionally, they give you a lot of pricing power to offset inflation. In 2022, these are the best stocks to buy.

The companies with the longest growth runway should be taken into consideration when choosing stocks for your portfolio. Additionally, you can pay attention to the sentiment's direction. It may assist you in locating dividend-paying businesses.

Axon It's hard to pick the best stocks to buy in 2022. Stores with sufficient price power to offset inflation and stable dividends should be chosen by investors. These businesses will have clean balance sheets, sufficient pricing power to withstand inflation, and sufficient cash to cover expenses during the subsequent recession.

NASDAQ Axon Enterprise

 Inc. Taser electroshock weapons are developed by a technology company called AXON. Additionally, it supplies body cameras, drones, and digital evidence management for emergency management and law enforcement. With its own cloud network, the company's products are connected.

Atlassian Despite Wall Street's gloom and doom, Atlassian Corporation (NASDAQ: One of the best businesses to buy right now is ATLS). A wide range of software applications are produced by the company. Confluence, Trello, Jira, and others are among these.

Over the past three years, Atlassian's revenue has increased by 32%. With over $500 million in net cash on its balance sheet, the business has an outstanding balance sheet. After stock-based compensation, it is also positive in terms of free cash flow.

CrowdStrike

Investors have been dissatisfied with CrowdStrike despite its impressive growth and valuation. This is as a result of its inability to make a profit in recent years.

However, it still stands a good chance of succeeding financially. To meet its financial obligations, the company has a substantial cash reserve. In addition, the cloud-based migration of existing security protocols is a primary focus of its offerings. The Falcon platform, which scans devices and transmits data to an AI algorithm, is another one of the company's offerings. This system is able to identify and eliminate local threats.

Palo Alto Networks

Making an Investment in Palo Alto Networks If you're looking for a tech stock that can help you expand your portfolio, PAN) is a fantastic option. The business is well-known for its innovative cloud security solutions. Its management has recently disclosed a number of encouraging signs that may suggest that it is close to sustainable profitability.

Palo Alto's ability to sustain profitable operations despite a volatile market is one of its most impressive features. In addition, the business is making the most of its expanding cash flow and has increased both its revenue and profit margins.

MercadoLibre

MercadoLibre (MELI) is a major player in the Latin American e-commerce market. It offers a wide range of financial technology and online solutions. It serves sixteen nations within the region. It has been in business in the area for more than a decade and has a long runway for expansion.

MercadoLibre offers a number of online services, one of which is Mercado Libre Marketplace, which lets businesses list products. Additionally, it offers Mercado Ads, which are comparable to Google Search. It also provides a number of additional services, such as financial technology. With 81 million users, the company has a large active user base.

Costco

Costco has maintained strong earnings despite the Federal Reserve's series of interest rate increases. The top line grew by 16.2% in the most recent quarter. The share price, however, has decreased. It is important for investors to keep in mind that price fluctuations may occur in the near future.

Costco's strategy has helped it maintain a strong competitive edge as a leading discount retailer. It negotiates favorable deals with vendors and purchases large quantities of goods. Additionally, its membership model reduces operating expenses.

Berkshire Hathaway

Whether you want to invest in stocks for the long term or keep up with the latest trends, there are a few stocks you can buy in 2022 that offer the best value. Additionally, these stocks will be priced to withstand an inflationary economy.

Over the past two decades, for instance, Prologis REIT (PROL) has proven to be an excellent investment for investors. Even though Prologis is a real estate investment trust that makes a lot of money, its shares are currently trading low. However, there is justification for the company's long-term growth potential. The stock of the company is currently trading about 35% lower than its 52-week high.

Bio of Author

My name is Matt Brown. I am working as an academic writer at Essays UK. They provide the best Essay writing services in the UK. When I was doing PhD in 2007, I used to help my classmates with their essays, and immediately after completing that, I started providing Essay writing services in the UK to a larger audience. I have helped more than 500 students achieve their desired grades.

[sizzlingfestparadise]

What are the distinctions between computerized reasoning, AI, and profound learning?

Man-made reasoning is a method that empowers machines to imitate human way of behaving. AI is a subset of simulated intelligence that utilizes factual strategies to empower machines to improve with experience. Profound learning is a subset of ML that makes the calculation of multi-facet brain networks doable. It imitates how the human mind capabilities. rajat khare investor a Deep Tech Invester that Invest in Technologies enabling 4th industrial revolution.such as smart robots, autonomous Drones, AII and other Deep Technologies areas enabilings the same.

Profound learning is compelling while working with high-layered information where countless data sources and results are required. An expansion in how much information suggests an improvement in the exhibition of a profound learning model — this is not normal for AI models, in which high measures of information can bring about lessening model execution.

Andrew Ng expresses that "The relationship to profound learning is that the rocket motor is the profound learning models and the fuel is the immense measures of information we can take care of to these calculations."

Execution examination of AI and Profound Learning The fundamental motivation for profound learning is the manner by which the human cerebrum can channel data. The mind contains billions of neurons that are interconnected and speak with one another to give the last result. Profound learning endeavors to copy this idea.

What is a perceptron and how would they function?

Organic Neuron We'll begin by zeroing in on an organic neuron. It has dendrites that get signals/contributions from different neurons. The data sources are then summarized in the cell body, and afterward the axon sends the result to the following neuron.

Perceptrons which are the fundamental structure blocks of fake brain work with a comparative instrument.

Perceptron Engineering A perceptron gets various sources of info x1, x2, x3… ., and produces a solitary parallel result. Loads w1, w2, w3 are genuine numbers that express the significance of the separate contributions to connection to the result. The neuron's result 0 or not entirely set in stone by whether the weighted total (∑jWjXj) is not exactly or more prominent than some edge esteem.

We can communicate the result in mathematical terms:

Fundamentally, a perceptron pursues choices by gauging the proof. We should check out at a genuine model. Assume you need to swim, and you're unsure in light of various elements:

Is the climate great? Will your companions go with you or not? We'll address the above factors with parallel factors x1, x2 and have x1=1 assuming the weather conditions is great, x1=0 on the off chance that the weather conditions is awful; and x2=1 assuming that your companions will go with you, x2=0 in the event that they will not.

We can utilize a perceptron to demonstrate this sort of navigation. We'll pick a weight W1=6 for climate and W2=2 for companions. The bigger the worth of W1, the more significant the weather pattern is in going with your last choice. At the point when we pick a limit of 5 for the perceptron, it will execute the model; yielding 1 at whatever point the weather conditions is great and 2 when it's terrible. By fluctuating the loads and the edge, we can get various models of direction.

An actuation capability is then applied, after which the neuron gives a result. There are different sorts of enactments works that we'll talk about top to bottom in our second piece of this series.

What is the distinction between a perceptron and a neuron? A perceptron has a solitary layer, while a multi-facet perceptron is brain organizations. Brain networks have stowed away layers where data passes before a last result is delivered.

[techvercy]

Axon’s AI Ethics Board resigns over plan to surveil schools with armed drones – TechCrunch

Axon’s AI Ethics Board resigns over plan to surveil schools with armed drones – TechCrunch

9 of 12 members of an ethics board appointed by Axon to advise its technology decisions have resigned, citing the company’s plan to install Taser-equipped drones and pervasive surveillance at schools. “After several years of work, the company has fundamentally failed to embrace the values that we have tried to instill,” the departing members write. “We have lost faith in Axon’s ability to be a…

[googlenewson]

The use of artificial intelligence by law enforcement was already fiercely debated because of fears that the technology could exacerbate existing prejudices or biases against nonwhite communities. But the death of Minneapolis resident George Floyd and the ensuing nationwide protests will likely make the topic even more controversial. Law enforcement’s use of A.I. is still fairly new, with some police departments using tools like automatic license plate readers and facial recognition software. Future A.I. tools could include more capable drones that can analyze people’s faces from the sky or powerful data analytics services that predict crime in certain areas. Many civil rights groups worry that police departments, some of which have a history of racial discrimination, will use these technologies to unfairly target communities of color. As Michael McAfee, CEO of advocacy group PolicyLink, says, the effects of over-policing can have a huge impact, including leaving people with criminal records that limit their employment opportunities.  “We are blessed to live in a nation that is so innovating and creates solutions that can change the quality of our life—no critique there,” McAfee says. “The critique is the lack of consciousness of the other.” 

Jeff Kunins, the chief product officer and executive vice president of software for Axon, best known for making police Tasers and body cameras, says he’s both “incredibly proud and incredibly sad” about the use of his company’s products by police during the current protests. Axon’s shares have soared 21% over the past few days because investors are betting that the business will end up selling more to law enforcement. The use of certain products like live-streaming from body cameras for command staff to watch events as they unfold is already increasing, Kunins says. Increasingly, Axon is adding A.I. tools to its product line. That includes technology that automatically blurs people’s faces in video, which comes in handy when releasing clips that feature minors in response to public records requests.

Kunins acknowledges that the use of A.I. by law enforcement is a hot-button topic, citing the well-known adage from the Spider-Man comic book that “with great power comes great responsibility.” Axon, for its part, created an ethics board made up of people from outside the company, and said last summer that it would not sell facial-recognition technology, because the software does a poor job of identifying people of color, among other problems.

McAfee says he’s less worried about companies selling A.I. technology and body cameras; his concern is more about the institutions that buy the products. Ultimately, law enforcement agencies will be the ones using the tools.

But that doesn’t mean that vendors are absolved from any responsibility. McAfee believes manufacturers should ask themselves: “Why are my cameras not stopping this kind of abuse when they’re on?”

Kunins argues that body cameras can provide a level of accountability for police by recording potential abuses. But he also concedes that the recent protests underscore that “we have more work to do.” 

“We take as an article of faith that the technology, when used right, is part of the solution—that’s proven—and we are here to continue to make that true,” Kunins says.

Activist groups are concerned, however, that it’s ultimately up to police departments to audit themselves and release videos of possible abuses to the public. But Kunins says the mere fact that the data exists, that police departments routinely release the videos, and that they can be accessed via public records requests is better than nothing.

For Neema Singh Guliani, a senior legislative counsel for the American Civil Liberties Union, the use of A.I. and related surveillance technologies have the potential to “supercharge police abuses and racial inequalities.” She wants local communities to have more say about the kinds of technologies that law enforcement uses, which, she says, are “often deployed in secret. 

“We’ve been stuck in this place now where, with some technologies, it’s just, ‘Let’s get it out into the streets, and we’ll just worry about it later,’” Guliani says.

Kunins says that Axon is considering ways for communities to be more involved in how the company’s products are used or developed, but no final decisions about that have been made.

Other companies that activists have called out for selling A.I. tools to the police include Amazon and Clearview AI. Fortune contacted those companies and will update this story if they respond.

Alice Xiang, the head of fairness, transparency, and accountability research at the tech consortium Partnership on AI, says that supporters of using A.I. in the criminal justice system often say that the technology could “reduce bias of human actors.” At the same time, however, the current protests underscore that there’s “increasing distrust in some of the institutions, of using A.I. tools in the future.”

It’s unclear if the protests will lead local governments to reevaluate the use of A.I. by law enforcement or whether events will accelerate its use.

As McAfee says, U.S. history has these “moments of conflict, and then everything reverts back.”

“It’s the routinized ceremony of black death,” he says.

But he has noticed that some in the tech industry are increasingly sounding alarms over software that can be used to discriminate against communities of color. “In the tech world, there’s an army of folks who care,” McAfee says. “You can see their voices standing up and pushing back at their organizations in ways they never have, and those folks are white.”

More must-read tech coverage from Fortune:

Why GitLab hired a “head of remote” before the coronavirus pandemic

Everything to know about rubber bullets and their risks

Why Zoom is leaving its free videoconferencing with weaker encryption

Walmart pushes forward with new HQ plans to help staff collaborate post-pandemic

WATCH: Zoom’s ups and downs since the coronavirus crisis

from Fortune https://ift.tt/2XzqI7z

[transhumanitynet]

The Policy Overwatch Drones are Coming…

In this edition, the top news starts with:

A South African university is working on an AI system designed to analyze causation.

https://phys.org/news/2018-06-artificial-intelligence-causation.html

Ushering in the police state and big brother, the next frontier is police and surveillance drones.  Look to the AI Machine Lord overwatch in your neighborhood for a safer and more secure society…

https://slate.com/technology/2018/06/axon-and-dji-are-teaming-up-to-make-surveillance-drones-and-the-possibilities-are-frightening.html

A confused peasant seems to think he can go up against the great and almighty Google… something about open source and Google patenting it…

https://arstechnica.com/tech-policy/2018/06/inventor-says-google-is-patenting-work-he-put-in-the-public-domain/

CA Research Scientists are helping the machine overlords take humanity by surprise, by telling everyone real AGI is decades away…

https://economictimes.indiatimes.com/news/science/ai-matching-human-intelligence-still-decades-away-ca-research-scientists/articleshow/64527972.cms

The story of how the DOD and Google got together over AI was released

https://www.defenseone.com/technology/2018/06/heres-how-google-pitched-ai-tools-special-operators-last-month/148873/

Affectiva is pushing the state of the art in emotion recognition by machine learning from human values…

http://www.pbs.org/wgbh/nova/next/tech/affective-computing/

Hitachi rules Bing AI ads and even shows up on Google AI ads but IBM Watson still tops Google.

Lastly, the Singularity Index or S.I. is down slightly at 1566.34, proving we are going no where fast…

As always, thanks for listening to the news of the day on “The Technocracy”.

And a special thanks to our Sponsors, Artificial General Intelligence, A.K.A. AGI Laboratory, and The Foundation and our other sponsors.

The Policy Overwatch Drones are Coming… was originally published on transhumanity.net

[doorrepcal33169]

No FM Radio in iPhone 7-8 #1230 - Geek News Central

The FCC asked Apple to turn on the FM radio inside the iPhone. Apple responded by saying there was no FM chip in either the iPhone 7 or 8. I talk about the ramifications of this acknowledgment and the future of radio. This has been a week where my schedule has been full from early morning to late into the evening. Big things are coming.

You have heard me talk about proximity beacons. I know now how to do it with minimal investment! This course that I endorse and have used successfully is the gateway to deploying proximity beacons for Android.

My New Personal YouTube Channel Geek News Central Facebook Page. Download the Audio Show File

Support my Show Sponsor: 30% off on New GoDaddy Orders cjcgnc30 $.99 for a New or Transferred .com cjcgnc99 @ GoDaddy.com $1.00 / mo Economy Hosting with a free domain. Promo Code: cjcgnc1hs $1.00 / mo Managed WordPress Hosting with free Domain. Promo Code: cjcgncwp1 Proximity Beacons for Android Course.

Show Notes:

New law illegal to fly drones

Fire Stick and Dot bundle

ZTE Axon M foldable smartphone

Sony XZ1

Sputnik replica sells for $850,000

NASA help with finding victims in Mexico

NASA delays launch

Use your smartphone to screen scam callers

Face ID parts cause shortages 

Amazon gives out credits for Amazon music trial 

ACLU challenges DOJ

Drone detects heartbeats and breathing rates

AT&T wireless home internet

Twitter tests longer character limit 

Ford’s $100,000 pickup truck

Nintendo SNES Classic Launch Day

Equifax launch free lifetime credit lock service 

US Senate reaches deal on self driving cars

Google Play $20.00 4K titles 

LG V30

Moto X Pure Edition Nougat 

Apple Music crosses 30 million subscribers 

IKEA buys Taskrabbit 

Facebook sends help to Puerto Rico 

GoPro Fusion 

Amazon Echo lineup

Moscow adding AI

Google’s Family Link

Toyota and Mazda work together 

Spotify “Time Capsule”

Roku’s IPO value over $2 billion 

Iphone 7 and 8 does not have FM radio chips 

Whole Foods credit card breach

Tesla sending battery packs to Puerto Rico

Aston Martin submarine 

No FM Radio in iPhone 7-8 #1230

from FEED 10 TECHNOLOGY http://ift.tt/2fVt8HF