#AI Governance Market Analysis

[industrynewsupdates]

AI Governance Market: Trends and Future Growth Prospects

The global AI governance market size is anticipated to reach USD 1,418.3 million by 2030, according to a new report by Grand View Research, Inc. The market is projected to grow at a CAGR of 35.7% from 2025 to 2030. Owing to the increasing benefits of Al, businesses, and governments across the globe are beginning projects to adopt artificial intelligence (Al) and machine learning (ML) technologies and establish themselves as market leaders. To embrace Al governance solutions, government organizations from many nations are creating councils, new rules and regulations, and frameworks. The main goals of governments using Al governance solutions are to increase public trust in Al technology and to preserve private information and civil rights. Additionally, several businesses have established committees in partnership with suppliers of Al solutions, academic institutions, and research centers to identify risk issues for Al technology.

Cloud providers progressively implement ethical norms and principles to ensure AI workloads, which are developed and utilized responsibly. Cloud providers work with governing bodies, regulatory agencies, and other organizations to create AI governance frameworks. These collaborations pool knowledge from several fields to create comprehensive and efficient AI governance frameworks. For instance, In February 2022, Virtana announced the creation of a platform for managing hybrid cloud installations that use machine learning, artificial intelligence, and data analytics. With this platform's observability, customers can manage app workloads in private, public, multi-cloud, and hybrid environments.

Explainability and transparency are critical components of AI governance in healthcare. Healthcare professionals and patients must comprehend how AI algorithms function to enhance patient care. Healthcare AI governance frameworks strongly emphasize the requirement for concise and open explanations of AI algorithms' operation. All medical technologies are developed by businesses or through public-private partnerships. IoT has several applications in healthcare and can improve physician treatment delivery while keeping patients healthy and safe. As a result, there is an increase in demand for Al governance in healthcare, which is projected to fuel the growth of the segment in the future.

Gather more insights about the market drivers, restrains and growth of the AI Governance Market

AI Governance Market Report Highlights

• The global market is forecasted to grow at a CAGR of 35.7% over the forecast period. 

• Based on verticals, the government and defense segment dominated the market for AI governance in 2024. 

• Healthcare facilities across the globe are utilizing AI systems to identify diseases through a patient's voice or a chest x-ray. Several nations have also proposed surveillance systems to track the person-to-person spread of several viruses. From Asia to Europe, several organizations from the public & private sectors have joined forces to track the spread of the various viruses using AI-based technology. 

• The solutions segment is anticipated to expand throughout the projected time frame for several reasons, including increasing user adoption for AI-based systems, growing dependency, among others. 

• North America leads the global AI Governance market accounting for a leading share of 32.6% in 2024.

AI Governance Market Segmentation

Grand View Research has segmented the global AI governance market report based on component, deployment, organization size, vertical and region:

AI Governance Component Outlook (Revenue, USD Million; 2018 - 2030)

• Solution

• Services

AI Governance Deployment Outlook (Revenue, USD Million; 2018 - 2030)

• On-Premises

• Cloud

AI Governance Organization Size (Revenue, USD Million; 2018 - 2030)

• Large Enterprise

• SMEs

AI Governance Vertical (Revenue, USD Million; 2018 - 2030)

• BFSI

• Government and Defense

• Healthcare and life sciences

• Media and Entertainment

• Retail

• IT and Telecommunication

• Automotive

• Others

AI Governance Regional Outlook (Revenue, USD Million; 2018 - 2030)

• North America

o U.S.

o Canada

o Mexico

• Europe

o UK

o Germany

o France

• Asia Pacific

o China

o Japan

o India

o Australia

o South Korea

• Latin America

o Brazil

• Middle East & Africa (MEA)

o KSA

o UAE

o South Africa

Order a free sample PDF of the AI Governance Market Intelligence Study, published by Grand View Research.

[gothamundernightlight]

Random Shit the Waynes Do on Social Media

Dick:

- The white whale of D1 and Olympic gymnastics athletes; always stitches their stunts and challenges, executing them perfectly, but no one knows who he is or who trained him

- Shares pictures of random children, and the whole internet becomes a detective trying to figure out if Bruce Wayne adopted another kid or if his gymnastics students won another trophy

- Photo montages of Haley being the cutest, which slowly transitions into Haley in whatever cute hat the internet can send to Dick’s PO Box

- Random video of him skydiving while giving tips on what to do if your chute doesn’t deploy. He never deploys his chute doing the video and no one can tell if it’s a bit or not.

Jason:

- AI Voiceover text posts providing surprisingly insightful analysis into classic literature

- A full six part rant on the Broadway adaptation of “The Great Gatsy”

- Random selfies complete with wildly made up backstories of any and every new injury he has

- Prank war on Damian specifically (this was intended for Talia but his finger slipped and now the whole internet loves it)

Tim:

- Randomly goes live to do study/work/research with me sessions complete with an actually decent Lofi soundtrack that no one can find (He totally mixes it himself but won’t admit it)

- Did ONE social media vlog for WE’s marketing division and it went so viral he gets forced to do more. The dead eyed stare he gives the camera with every stupid dance the intern teaches him makes the video top-tier

- Cute couples videos with Bernard

- Skateboard tricks (and fails)

- Screenshots of text conversations between him and his siblings discussing the most random shit??

Cass:

- Dance routines/pre-show/GRWM videos

- Shakily filmed videos of her kicking Dick’s ass and everyone just calls her a baddie in the comments. She doesn’t know what that means but she appreciates the love.

- Her and Steph’s late night food runs with the two of them just belting out to a song in a dark parking lot

Steph:

- Posts riddles and puzzles and how to solve them. She’s really good at it. Riddler hates her.

- Apartment tour of all the purple shit she owns. She’ll never admit that the room she’s showing off is her Wayne Manor bedroom, so everyone believes she just has a moderately sized loft apartment somewhere and she just never shows the kitchenette

- Her and Cass’s late night food runs with the two of them just belting out to a song in a dark parking lot

- POV shots of her going up to the boys asking them random questions. Dick matches her energy. Jason tells her to fuck off. Tim is barely conscious. Damian always has an overly rational answer to take the fun out of it. Duke just stares blankly at her (he always comes back later with a proper answer now that he’s had time to think about it). Bruce just stares blankly at her

Damian:

- Art reveals that never get many views but he’s still proud of nonetheless. Dick always comments on them to hype him up

- Accidentally recreates a popular vine that went viral and it’s just him insulting fellow GA kids under his breath but one of them says hi to him and he’s instantly polite back. His most popular video

- The multi-part experiment of him trying to Pavlov Tim, and when it actually works, Tim just chases Damian around the manor. The video cuts to black frames after Tim takes a flying launch at him

- All the pet videos. There are so many. People try to cancel him for exploiting them, but Damian clearly demonstrates that he would never force his animals to participate for views and how they will just leave if they don’t want to do something. Batcow is in the background just two-stepping unprompted

Duke:

- Every morning without fail, he posts a daily sunrise pic of Gotham, with a positive affirmation caption. One day he’s sick and he wakes up to a thousand messages of people panicking because their favorite poster has disappeared. He never misses a sunrise again

- Passionate rants about local government. Will not shut up about it. He might be an anarchist, but he’s forever remain optimistic that one day the systems that define society will one day actually work for all people. Bruce has every single one saved so he can implement Duke’s ideas into reality

- Boxing videos of him training with Luke. It’s never meant to be a thirst trap…but sometimes it is

- Dumb selfies. Duke unironically loves taking them, no matter what face he pulls, what filter he uses, not even caring where he is. This gets him in trouble the one time he posts one of him leaning off the edge of a high rise roof

Babs:

- Constant lectures on cybersecurity and internet safety. She teaches this at the library as a volunteer but feels she can reach a lot of people by building a platform

- Computer build stuff. Brands reach out to her for her reviews and she thoroughly discusses each product in length

- Rarely posts about her disability, but absolutely tears people to shreds when they make ableist comments about her. The only time she brings it up first is when City Hall takes over a month to fix their elevator and she calls them out on it

Harper:

- Electronics repairs. She constantly takes things apart to teach people how to fix it, and this can range from toys to cars. On more than one occasion , her video has been interrupted by someone who planned to be using the vehicle she’s just taken apart

- 2 AM hair dye/maintenance sessions. She constantly gets comments from men being like “Therapy works too, y’know” or “No, you’re so beautiful? Why would you do that to yourself.” She responds to the comments with a video of a gun pointed at the camera with the sole caption being “Fuck Off.”

- Gym videos. She and Dick work out together and he’s the ultimate hype man

- Outfit montages of her getting ready for a random gala and she’s always pulling off the most masc-looking suits that look gorgeous on her

Helena:

- Target practice. She does all kinds of trick shots and crazy crossbow stunts in a wide variety of outfits. Her most popular video is of her in a corset and platform heels.

- Her and Steph bonding over all things purple

- Outfit of the Day posts. The girl has expensive tastes and she absolutely shows it off.

Bruce:

- Occasionally does promo stuff for WE (because Tim refuses to do all of it, and their social media intern won’t back down)

- Shares absolutely wild stories from his college years that somehow always get proven to be true even when the whole comments section is just like “this seems false???”

- Kid tour. He saw one mom do it and felt sad bc he’s never get the kids to agree, but somehow they all did (Alfred bribed them.)

- Shares everything from each one of the charities he’s involved with. Has reposted every single one of their posts on his own personal channel. It raises them hundreds of followers each time.

- One of the kids posted a video montage of Bruce being Brucie and it’s so utterly humiliating? But he won’t delete it because all of the comments say he’s their favorite billionaire and that’s more than his own kids will say.

- Random Pride Month post. Every year it catches people by surprise and every gossip magazine always wonders if Bruce is coming out. He’s just being an ally (and potentially is in denial).

Alfred:

- Prefers not to use social media, but one of the boys filmed him doing random things to teach the internet how to do things properly, like making the bed, doing laundry, etc. Is the internet’s favorite grandpa.

[allthebrazilianpolitics]

Regulatory framework for artificial intelligence passes in Brazil’s Senate

Bill establishes governance measures, upholds the rights of affected individuals and groups, and classifies high-risk and excessive-risk AI systems

On December 10, 2024, the Brazilian Senate approved Bill No. 2,338/2023 to establish a national regulatory framework covering the development, use, and governance of AI systems in Brazil. The text reflects a commitment to the centrality of the human person, responsible innovation, AI market competitiveness, and the implementation of safe and reliable systems. Having passed in the Brazilian Senate, the current version of the Bill still requires further analysis in the House of Representatives and presidential assent before it can be signed into law and take effect.

The main topics of the Brazilian Senate approved version of the Bill are outlined below.

Continue reading.

[girlactionfigure]

🔅Sun morning - ISRAEL REALTIME - Connect to Israel in Real Time

🔻Suicide drone - from Hezbollah, Lebanon - towards Acre via the sea - INTERCEPTED.

��️CEASEFIRE LEAKS.. A Hamas senior official stated on Saturday that the terror organization would not release a single hostage without an agreement on the second phase of a deal with Israel, KAN reported.  The phase would have to include "the cessation of hostilities," the official added. 

▪️ANALYSIS.. (The Arab Desk) From ongoing enemy statements, THIS is what THEY think is happening: “Israel is disintegrating from within, the Israeli public is divided, the government is not functioning, Israel lives wounded and weak, and then the moment will come when all of us (the enemies) will seize the moment and attack it.  Israel is collapsing from the inside, push them a little more and we will complete the task."

Almost the exact opposite is happening - but this is how protests and weak govt statements are interpreted by the enemy, STRENGTHENING THEIR MORALE.

▪️LEBANON / SYRIA.. Tit for tat attacks continue, IDF bombing multiple Hezbollah sites as well as a weapons warehouse in Syria used for Iranian weapons headed towards Lebanon.  Syrian sources report the Israeli attack was on Hezbollah's ammunition depots in the area of Yabrod, Alanbah and the al-Nasriya military airport.

Hezbollah announces use of upgraded suicide drones, the Ababil-2. It has up to a 50 kg warhead.

▪️SHIPPING.. US shot down Houthi drone attack at a ship.  Ships report attack in Gulf of Aden, explosion near a ship - NEAR MISS.

▪️FAKE HUNGER.. a large number of videos and photos out of Gaza show bustling markets full of fresh vegetables, meat, and bags of flour, as well as numerous TikTok shorts of making holiday sweets in a war zone. 

Here’s what they don’t show: gaunt people, swollen hunger bellies, as seen in photos out of Africa. 

Gazans are THRILLED to continue to receive FREE stuff from around the world, loot it and then sell it to each other, while continuing to motivate the world by claiming mass starvation WITH NO EVIDENCE ((not even AI generated)).

Their #1 success: world propaganda.

[beardedmrbean]

A comedian was escorted away from former House Speaker Nancy Pelosi after he posed as a Democrat and heckled her over her stock trading, calling her “the greatest options trader of all time” and asking for tips on which shares he should buy.

Alex Strenger, a conservative comedian, approached Pelosi as she was signing copies of her new book “The Art of Power” at the Texas Tribune Festival in Austin on Saturday — a clip of which was posted on the X social media platform on Sunday.

Strenger, who is seen wearing a COVID mask and a Bernie Sanders baseball cap, approached the table where Pelosi was sitting and identified himself as “Noah,” according to the news site Mediaite.

“I’m a UTA candidate. I was listening. I wasn’t able to get a book, sold out, but I want to say how much I appreciate your, like, fierce, staunch defending of democracy,” Strenger told Pelosi, adding that it “really means so, so much, you know?”

Strenger then told Pelosi about how he was “really scared about…Donald Trump winning the election.”

“And honestly, with all the disinformation on X, like, you know, I honestly, the only chance, like, that we have is for Donald Trump to spend the rest of his life in prison,” Strenger said.

He added that imprisoning Trump was “the only hope for democracy,” adding: “We just have to win the election.”

Pelosi agreed, replying: “We do.”

Strenger then asked Pelosi: “What stocks should I buy?”

“Nancy, you’re the greatest options trader of all time,” the comedian added.

“I just want to know what stocks I should buy. What I just want to know, like, what’s your biggest concern?”

As security guards stepped in to prepare to escort Strenger away from the former House speaker, he said: “The police are an instrumental institution of white supremacy and racism. I don’t understand why they are even here at all. They should be defunded.”

Strenger then said that Pelosi “makes six figures a year in Congress and has a hundred million dollar net worth.”

“Don’t y’all want to know what stocks she should buy? Come on. I just want to know,” he said as security began escorting him away.

“I just want to know what stocks to buy. I want to close the wealth gap. What’s the problem? I just want to close the wealth gap.”

Pelosi, the Democratic congresswoman who represents San Francisco, is married to Paul Pelosi, the founder of a real estate and venture capitalist firm.

Paul Pelosi’s stock trading activity has raised eyebrows given the fact that his wife’s position as one of the most powerful legislators in the country gives her access to information that may influence market decision.

In June 2021, Paul Pelosi exercised call options in Microsoft just before the company was awarded a lucrative defense contract from the US government.

The next year, Paul Pelosi purchased shares of AI chipmaker Nvidia just as Congress was set to vote on the CHIPS Act, which provided significant government subsidies to the semiconductor industry.

The Pelosis’ stock portfolio includes shares in blue-chip tech firms such as Apple, Amazon, Meta, Tesla and Alphabet.

Last year alone, Pelosi’s stock options gained more than 65%, according to an analysis.

Nancy Pelosi initially opposed proposals that lawmakers and their spouses be banned from trading stocks — insisting that her husband makes stock trades independently and that she has no involvement.

The Post has sought comment from Nancy and Paul Pelosi.

[tuesday8econlive]

The Impact of Tuition Fees on University Externalities and Public Goods: A Comparative Analysis of the United States and China

Wenxin Lyu

Student ID：79048292.

The role of tuition in shaping university-generated externalities and public goods is a topic that has received much attention, especially when comparing different education models such as those in the United States and China. Tuition not only affects access to higher education but also has broader economic and social implications. This paper explores how tuition affects positive and negative externalities and the provision of public goods at universities in the U.S. and China, providing insights into the social impact of these educational giants.

Tuition is an important source of revenue for universities, sponsored operations, research, and scholarships. In the U.S., high tuition combined with a robust financial aid system places greater emphasis on a market-driven approach to private investment in higher education. In contrast, Chinese universities, which are primarily government-funded, charge relatively low tuition, reflecting a model that views higher education more as a public service. Chinese students can choose their preferred schools more freely than their U.S. counterparts and have less student loan burden.

Positive Externalities and Public Goods Positive externalities occur when an activity benefits a third party not directly involved. In higher education, these externalities can be significant.

In the U.S., high tuition may foster a competitive environment by selecting only the highest-achieving students or those from wealthy families. This high-competition, high-standard model can push universities to excel in research and innovation, leading to new technologies, processes, and knowledge that benefit society, such as medical breakthroughs improving healthcare globally.

In China, the government subsidizes tuition, making education more accessible. This can raise the overall education level, producing a more educated workforce that increases productivity, social mobility, economic growth, and stability – classic positive externalities.

Negative Externalities Negative externalities occur when an activity adversely affects a third party.

The highly competitive U.S. environment has notable downsides. High tuition and stringent criteria can lead to unequal educational opportunities, restricting opportunities for talented but underprivileged students. High tuition also increases debt burdens, causing long-term financial stress. The high-pressure environment may negatively impact students' mental health and promote an overly competitive mindset at the expense of well-being.

While the U.S. system promotes innovation through competition, it introduces negative externalities regarding equity, financial burden, and mental health that require policy adjustments to maintain competitiveness while lowering barriers and reducing detrimental effects.

In China, the intense competition for the make-or-break university entrance exam (gaokao) may seriously affect mental health, exacerbate inequality, and lead to social tensions – negative externalities not reflected in education costs.

In summary, both the high-tuition, market-driven U.S. model and the low-tuition, centralized Chinese approach produce notable positive and negative externalities that shape their educational and socioeconomic impacts in distinct ways.

[allbusinessplan]

AI & Business

Data-driven Decision Making: AI enables businesses to make decisions based on data analysis, leading to more informed strategies and actions.

Automation of Repetitive Tasks: AI can automate mundane and repetitive tasks, freeing up human resources to focus on more complex and creative endeavors.

Improved Efficiency and Productivity: By streamlining processes and optimizing workflows, AI systems can significantly enhance efficiency and productivity within businesses.

Personalized Customer Experiences: AI-powered algorithms can analyze customer data to provide personalized recommendations and experiences, leading to increased customer satisfaction and loyalty.

Predictive Analytics: AI algorithms can analyze large datasets to identify patterns and trends, allowing businesses to make predictions about future outcomes and adapt their strategies accordingly.

Cost Reduction: Through automation and optimization, AI can help businesses reduce operational costs and increase profitability.

Enhanced Risk Management: AI can analyze vast amounts of data to identify potential risks and vulnerabilities, allowing businesses to proactively mitigate them.

Innovative Products and Services: AI enables businesses to develop innovative products and services, driving competitive advantage and market differentiation.

Supply Chain Optimization: AI can optimize supply chain management by predicting demand, reducing inventory costs, and improving logistics efficiency.

Improved Employee Experience: AI technologies can support employees by providing them with tools and insights to perform their jobs more effectively, leading to higher job satisfaction and retention.

Ethical Considerations: Businesses need to consider ethical implications such as data privacy, algorithmic bias, and job displacement when implementing AI systems.

Continuous Learning and Adaptation: AI systems can learn from data and user interactions, continuously improving their performance and adaptability over time.

Regulatory Compliance: Businesses must navigate regulatory frameworks related to AI usage, ensuring compliance with laws and regulations governing data protection, fairness, and transparency.

Partnerships and Collaboration: Collaboration with AI technology providers, academia, and other businesses can facilitate access to expertise and resources necessary for successful AI integration.

Investment in Talent and Skills: Businesses need to invest in talent development and upskilling programs to ensure their workforce has the necessary skills to leverage AI effectively.

[study-in-uk-msm-unify]

Emerging Industries: Opportunities in the UK Job Market

Planning to study in the UK? Want to explore career opportunities in the United Kingdom?

In the ever-evolving world, the UK stands as a hub for innovation and growth, bringing numerous emerging sectors that offer promising career prospects. As technology continues to reshape the global economy, several industries in the UK have captured attention, presenting exciting opportunities for job seekers and entrepreneurs alike. Take a look at some of the career opportunities you could take advantage of.  

1. Fintech (Financial Technology)

The UK has strengthened its position as a leading fintech hub, with London being a prominent center for financial innovation. Fintech includes a wide array of sectors, including mobile payments, blockchain, and cybersecurity. Job opportunities in this field span software development, data analysis, financial consultancy, and regulatory compliance.

2. Technology and IT 

In the emerging era of the digital world, technology continues to dominate businesses worldwide. As, a result the demand for technologically advanced professionals tends to rise. Software developers, data analysts, cybersecurity experts, and artificial intelligence specialists roles are in high demand. With the increasing use of technologies and the need for innovative solutions, these roles offer tremendous growth opportunities and competitive salaries. 

3. Healthtech

The combination of healthcare and technology has given rise to HealthTech, a sector dedicated to enhancing medical services through innovative solutions. From telemedicine to health analytics and AI-driven diagnostics, HealthTech offers diverse career paths for healthcare professionals, software developers, data scientists, and researchers.

4. Renewable energy and sustainability

With an increased focus on sustainability and combating climate change, the UK has been investing significantly in renewable energy sources. Wind, solar, and hydroelectric power are among the sectors experiencing rapid growth. Job roles in renewable energy range from engineering and project management to research and policy development, catering to those passionate about environmental conservation.

5. Cybersecurity

With the increasing frequency of cyber threats, the demand for cybersecurity experts is on the rise. Businesses and governments are investing heavily in safeguarding digital infrastructure. Job roles in cybersecurity encompass ethical hacking, network security, data protection, and risk analysis, presenting ample opportunities for skilled professionals in this field.

6. Artificial Intelligence and Machine Learning

AI and machine learning are revolutionizing various industries, including finance, healthcare, and manufacturing. The UK is fostering innovation in AI research and development, offering roles in AI programming, data engineering, robotics, and AI ethics.

7. Creative industries

The UK has a rich heritage in the creative sector, encompassing fields like media, design, gaming, and entertainment. Roles in creative industries span from content creation and graphic design to video production and game development, appealing to individuals with artistic and technical skills.

In conclusion, the UK job market is filled with opportunities within emerging industries, showing the nation's commitment to innovation and progress. Whether one's passion lies in sustainability, technology, healthcare, or creative endeavors, these sectors offer an array of possibilities for career growth and contribution to shaping the future.

By embracing change, acquiring relevant skills, and staying adaptable, individuals can position themselves to thrive in these dynamic and promising industries, contributing to both personal success and the advancement of these transformative sectors in the UK.

If you are struggling to get the right guidance, please do not hesitate to consult MSM Unify. 

At MSM Unify, you can explore more than 50,000 courses across 1500+ educational institutions across the globe. MSM Unify has helped 1,50,000+ students achieve their study abroad dream so far. Now, it is your turn to attain your study-abroad dreams and elevate your professional journey! So, get ready to broaden your horizons and make unforgettable memories on your upcoming adventure.

[kenresearchreport]

Decoding Cybersecurity: Unveiling the Future of US Digital Forensics Excellence

What is the Size of US Digital forensics Industry?

US Digital forensics Market is expected to grow at a CAGR of ~% between 2022-2028 and is expected to reach ~USD Mn by 2028.

Escalating cyberattacks targeting individuals, organizations, and critical infrastructure underscore the need for robust digital forensics capabilities. The increasing frequency and sophistication of these attacks drive the demand for advanced tools and expertise to investigate and respond effectively.

Rapid technological advancements, including IoT, cloud computing, AI, and blockchain, introduce new avenues for cyber threats. Digital forensics services are crucial to understanding these emerging technologies' vulnerabilities and mitigating associated risks.

Furthermore, stricter data protection regulations and compliance mandates necessitate thorough digital evidence collection, preservation, and analysis.

Organizations across industries has invested in digital forensics to ensure adherence to legal requirements and regulatory frameworks.

Additionally Legal proceedings increasingly rely on digital evidence. Law enforcement, legal firms, and corporations require robust digital forensics services to gather, analyze, and present evidence in a court of law, driving market expansion.

Us Digital Forensics Market By Type

The US Digital forensics market is segmented by Computer Forensics, Network Forensics, Mobile Device forensics and Cloud forensics. Based on type, Computer Forensics type segment is emerged as the dominant segment in US Digital forensics market in 2022.

Computers are ubiquitous in modern society, utilized across industries, organizations, and households. As a result, a significant portion of digital evidence related to cybercrimes and incidents is generated from computer systems, driving the demand for specialized computer forensics expertise. Computers and their software environments evolve rapidly.

Us Digital Forensics Market By End User Application

US Digital forensics market is segmented by Government and Defence, BFSI, Telecom and IT, Retail, Healthcare and Other Government and Defence market is dominant in end user application segment in Digital forensics market in 2022.

Government and defense agencies handle highly sensitive information related to national security and intelligence. The increasing sophistication of cyber threats targeting these entities necessitates robust digital forensics capabilities to investigate and respond to cyber incidents effectively.

Government and defense entities are prime targets for cyberattacks due to their critical roles. Effective incident response through digital forensics helps in containing and mitigating cyber incidents swiftly, minimizing damage and preventing further breaches.

US Digital forensics by Region

The US Digital forensics market is segmented by Region into North, East, West, South.  In 2022, the dominance region is East region in US Digital forensics market.

The East region has a dense population and a well-established digital infrastructure, making it a hotspot for cybercriminal activity. The higher frequency of cyber threats and incidents necessitates a strong emphasis on digital forensics to investigate and mitigate these risks effectively. Additionally, the East region often sees a proactive approach from regulatory and legal bodies, reinforcing the demand for digital forensics services to ensure compliance and assist in investigations. The proximity of key players in law enforcement, government agencies, legal firms, and corporate headquarters further fuels the need for robust digital forensics capabilities.

Download a Sample Report of US digital forensics Solution Market

Competition Scenario in US Digital forensics Market

The US digital forensics market is characterized by a competitive landscape with several key players competing for market share. Prominent companies offering a range of digital forensics solutions and services contribute to the market's dynamism.

The competitive landscape also includes smaller, specialized firms and start-ups that focus on niche areas of digital forensics, such as cloud forensics, memory forensics, and industrial control systems forensics.

The competition is further intensified by the continuous evolution of technology, leading to the emergence of new players and innovative solutions. As the demand for digital forensics continues to grow, companies in this market are likely to invest in research and development to stay ahead of the curve, leading to a consistently competitive environment.

What is the Expected Future Outlook for the Overall US Digital forensics Market?

Download a Custom Report of US digital forensics market Growth

The US Digital forensics market was valued at USD ~Million in 2022 and is anticipated to reach USD ~ Million by the end of 2028, witnessing a CAGR of ~% during the forecast period 2022- 2028.

The US digital forensics market is poised for robust expansion due to the ever-evolving cybersecurity landscape, technological advancements, and regulatory pressures. Organizations across industries will increasingly recognize the necessity of investing in digital forensics to safeguard their digital assets and ensure compliance.

 As long as cyber threats continue to evolve, the demand for sophisticated digital forensic tools, services, and expertise will remain on an upward trajectory.

The US digital forensics market appears promising, characterized by a confluence of technological advancements, increasing cyber threats, and growing legal and regulatory requirements. As technology continues to evolve rapidly, so does the nature of cybercrimes, creating a persistent demand for digital forensics solutions and services.

Additionally, the escalating frequency and complexity of cyberattacks. As more critical operations and personal information are digitized, the potential attack surface expands, leading to a higher likelihood of security breaches. This dynamic compels organizations and law enforcement agencies to enhance their digital forensic capabilities to investigate, mitigate, and prevent cyber incidents effectively.

Furthermore, the rise of emerging technologies like the Internet of Things (IoT), artificial intelligence (AI), and blockchain presents both opportunities and challenges. These technologies bring new possibilities for efficiency and connectivity but also introduce novel avenues for cyber threats. Consequently, the demand for digital forensics services is expected to surge as organizations seek expertise in unraveling incidents involving these cutting-edge technologies.

The market is also likely to see increased adoption of cloud-based digital forensics solutions. As more data is stored and processed in the cloud, digital forensic providers will need to develop tools and methodologies to effectively gather evidence from virtual environments, remote servers, and distributed systems.

[angelincris]

10 Promising Scopes of Digital Marketing in India are Revealed

1. The Digital Revolution

India’s digital revolution is in full swing. Thanks to affordable smartphones and high-speed internet becoming widely available, millions of Indians are now online. This massive online audience is a goldmine for digital marketers.

2. Thriving E-commerce Scene

Online shopping has exploded in India. Platforms like Flipkart, Amazon, and others have revolutionized how we shop. Digital marketers are crucial in attracting customers and driving sales for these e-commerce giants.

3. Booming Start-up Culture

India’s start-up culture is thriving, with new companies emerging in various sectors. Digital marketing is vital for start-ups to gain visibility, acquire customers, and secure funding.

4. Digital Payments and Fintech

Digital payment platforms like Paytm, PhonePe, and Google Pay have become an integral part of India’s financial landscape. Digital marketing plays a key role in promoting these platforms and encouraging people to use them.

5. Content is King

6. Social Media Dominance

Social media platforms like Facebook, Instagram, Twitter, and LinkedIn are where Indians spend a lot of their online time. Digital marketers leverage these platforms to create compelling campaigns that resonate with diverse audiences.

7. Data-Driven Decisions

Digital marketing relies heavily on data. Marketers use data analytics to understand consumer behavior, track campaign performance, and spot market trends. The demand for professionals who can work with data is on the rise.

8. Personalization and AI

Artificial intelligence (AI) and machine learning are changing the game in digital marketing. Personalized marketing campaigns that cater to individual preferences are becoming the norm. Marketers who embrace AI have a competitive advantage.

9. Government Initiatives

Government programs like Digital India and Skill India are boosting digital literacy. This aligns with the growing need for digital marketing experts skilled in SEO, SEM, email marketing, and more.

10. Abundant Career Opportunities

Digital marketing offers a wide range of career options. Whether you’re into content creation, social media management, SEO, SEM, or data analysis, there’s a niche for everyone. Consider ACTE Technologies, a top institute that provides comprehensive digital marketing courses, if you want to start your digital marketing path with experienced assistance. Their knowledgeable teachers can provide you with the skills and information you need to succeed in the field of digital marketing.

In summary, digital marketing in India is flourishing and full of potential. As more businesses, start-ups, and individuals move their activities online, the demand for digital marketing expertise continues to grow. For those interested in an exciting and rewarding career, digital marketing is a field brimming with opportunities in today’s digital India.

[moremarketresearch]

Global AI Accelerator Chip Market Expected to Grow Substantially Owing to Healthcare Industry

Global AI Accelerator Chip Market Expected to Grow Substantially Owing to Increased Use of AI Accelerator Chips in Healthcare Industry. The global AI accelerator chip market is expected to grow primarily due to its growing use in the healthcare industry. The cloud sub-segment is expected to flourish immensely. The market in the North American region is predicted to grow with a high CAGR by 2031. NEW YORK, March 17, 2023 - As per the report published by Research Dive, the global AI accelerator chip market is expected to register a revenue of $332,142.7 million by 2031 with a CAGR of 39.3% during the 2022-2031 period.

Dynamics of the Global AI Accelerator Chip Market

Growing use of AI accelerator chips across the global healthcare industry is expected to become the primary growth driver of the AI accelerator chip market in the forecast period. Additionally, the rise of the cyber safety business is predicted to propel the market forward. However, according to market analysts, lack of skilled AI accelerator chip workforce might become a restraint in the growth of the market. The growing use of AI accelerator chip semiconductors is predicted to offer numerous growth opportunities to the market in the forecast period. Moreover, the increased use of AI accelerator chips to execute AI workloads such as neural networks is expected to propel the AI accelerator chip market forward in the coming period.

COVID-19 Impact on the Global AI Accelerator Chip Market

The Covid-19 pandemic disrupted the routine lifestyle of people across the globe and the subsequent lockdowns adversely impacted the industrial processes across all sectors. The AI accelerator chip market, too, was negatively impacted due to the pandemic. The disruptions in global supply chains due to the pandemic resulted in a decline in the semiconductor manufacturing industry. Also, the travel restrictions put in place by various governments reduced the availability of skilled workforce. These factors brought down the growth rate of the market.

Key Players of the Global AI Accelerator Chip Market

The major players in the market include: - NVIDIA Corporation - Micron Technology Inc. - NXP Semiconductors N.V. - Intel Corporation - Microsoft Corporation - Advanced Micro Devices Inc. (AMD) - Qualcomm Technologies Inc. - Alphabet Inc. (Google Inc.) - Graphcore Limited. - International Business Machines Corporation These players are working on developing strategies such as product development, merger and acquisition, partnerships, and collaborations to sustain market growth. For instance, in May 2022, Intel Habana, a subsidiary of Intel, announced the launch of 2nd generation AI chips which according to the company, will provide a 2X performance advantage over the previous generation NVIDIA A100. This product launch will help Intel Habana to capitalize on this rather nascent market and will consolidate its lead over the competitors further.

What the Report Covers:

Apart from the information summarized in this press release, the final report covers crucial aspects of the market including SWOT analysis, market overview, Porter's five forces analysis, market dynamics, segmentation (key market trends, forecast analysis, and regional analysis), and company profiles (company overview, operating business segments, product portfolio, financial performance, and latest strategic moves and developments.)

Segments of the AI Accelerator Chip Market

The report has divided the AI accelerator chip market into the following segments: Chip Type: Graphics Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field Programmable Gate Arrays (FPGA), Central Processing Unit (CPU), and others Processing Type: edge and cloud Application: Natural Language Processing (NLP), computer vision, robotics, and network security Industry Vertical: financial services, automotive and transportation, healthcare, retail, telecom, and others Region: North America, Europe, Asia-Pacific, and LAMEA SegmentSub-SegmentChip TypeCentral Processing Unit (CPU) – Most dominant market share in 2021 - The use of CPU for improving the performance of a computer while running graphics and video editors are expected to push the growth of this sub-segment further.Processing TypeCloud – Significant revenue growth in 2021 Cloud acceleration chip helps content creators, publishers, and other entities to offer material to end users promptly which is predicted to propel the growth rate of the market higher.ApplicationNatural Language Processing (NLP) – Highest market share in 2021 Increased use of Natural Language Processing (NLP) due to its ability to make computer-human interactions more natural is expected to propel the sub-segment forward.Industry VerticalHealthcare– Huge market revenue in 2021 The growing use of AI by major healthcare companies to complement medical imaging is anticipated to offer numerous growth opportunities to the sub-segment in the forecast period.RegionNorth America – Most profitable by 2031 The development of new technologies in artificial intelligence (AI) accelerators in this region is predicted to propel the market in the forecast period. Read the full article

[computerstudypoint]

Top 10 IT Skill In-Demand for 2023

There are so many types of skills are there but acquiring the best one to get a job is tough. So here are the top 10 IT skills are there which is most demanding in 2023.

So let’s see…

Machine Learning

Cloud Computing

Data Analyst

Cyber Security

DevOps

Software Development

Blockchain and Crytocurrency

IOT(Internet of Things)

UX/UI Design

Network Architect

Machine Learning

Machine learning (ML) is a rapidly growing field that involves teaching machines to learn from data and improve their performance over time. It has numerous applications across a wide range of industries, including healthcare, finance, marketing, and more. If you’re a student interested in pursuing a career in machine learning, go for it it’s a Best carrier option. And we all know that the machine learning which means AI is the future of new world

Cloud Computing

Cloud computing is a fastest growing field that involves the delivery of computing services, such as servers, storage, databases, software, and analytics, over the internet. It has numerous applications across a wide range of industries, including healthcare, finance, e-commerce, and more. If you’re a student interested in pursuing a career in cloud computing in 2023, it’s so good to peruse.

Data Analyst

Data analysts are in high demand across various industries, including finance, healthcare, marketing, and more. They are responsible for collecting, processing, and performing statistical analysis on large datasets to extract insights and make informed business decisions. This is a best option for carrier who has the interest in data management like things.

Cyber Security

Cybersecurity is an increasingly critical field that involves protecting computer systems, networks, and data from unauthorized access, theft, or damage. As the world becomes more digitally connected, cyber threats are becoming more sophisticated, and businesses and organizations are facing greater risks from cyber attacks. Having a skill like this will helps you to create your journey securely in the future of machine world.

DevOps

DevOps is a term used to describe a set of practices that combines software development and IT operations to increase an organization’s ability to deliver high-quality software products and services at a faster pace. DevOps aims to break down silos between development and operations teams and foster a culture of collaboration, automation, and continuous improvement.

Software Development

Software development is the process of designing, creating, testing, and maintaining software applications. It is a constantly evolving field that involves a wide range of programming languages, frameworks, and tools. If you’re a student interested in pursuing a career in software development, it’s a best carrier option for this who has interested in to make some software.

Blockchain and Cryptocurrency

Blockchain and cryptocurrency are rapidly growing fields that have gained widespread attention in recent years. Blockchain is a decentralized ledger technology that allows secure and transparent transactions without the need for intermediaries like banks or governments, while cryptocurrency is a digital asset that uses cryptography to secure transactions and control the creation of new units. This is the new technology where mostly companies are looking of this skill.

IOT(Internet Of Things)

The Internet of Things (IoT) refers to the network of physical devices, vehicles, home appliances, and other items embedded with sensors, software, and connectivity that enable them to exchange data and interact with each other. IoT is a rapidly growing field that has the potential to revolutionize the way we live and work.

UX/UI Design

User Experience (UX) and User Interface (UI) Design are two related but distinct fields that involve designing digital products and services that are both aesthetically pleasing and easy to use. UX design focuses on the overall user experience, including factors like user research, information architecture, and interaction design, while UI design focuses on the visual and interactive elements of a product, including layout, typography, and color.

Network Architect

A network architect is a professional responsible for designing and implementing an organization’s network infrastructure. Network architects typically work with a team of network engineers and administrators to design, deploy, and maintain the network infrastructure, ensuring that it is secure, reliable, and scalable.

Conclusion:

I hope this will help you choose the best carrier or skill option for you. If you liked it we have website so please visit and checkout our interesting articles you would like it ;)

Here is my website: computerstudypoint.com

[timeproperties]

The Ultimate Guide to Finding the Best Real Estate Company in Dubai

Are you thinking of investing in the sizzling hot market that is Dubai real estate? Then congratulations on taking this important step towards financial success! Moving to a new country, however, can be daunting and intimidating - not least when it comes to finding the perfect real estate company. Well, you’ve come to the right place because, in this ultimate guide, we’re going to dive deep into everything you need to know about selecting the best company for your property needs in Dubai.

When seeking the best real estate companies in Dubai, there are several factors to consider:

Reputation

First and foremost, reputation is key. It is important to find the Best Real Estate Company in Dubai that has an established track record within the industry with a good standing among its clients. You should research the company's past projects and testimonials from current and former clients, as well as check their online reviews on websites such as Google, Yelp!, or Trustpilot. Additionally, make sure that you verify that the company has all necessary licenses and permits required by your local regulations when investing in property located in Dubai.

Capabilities

Second, you must expertly assess their market analysis capabilities. A good real estate firm should have expertise in the current economic trends for different areas of investment such as construction materials costs or financing options for developers; these will help inform your decision-making process when selecting an ideal property to invest in. Furthermore, look for companies who understand both local and international markets which will allow them to provide you with advice about what kind of properties may be more lucrative in foreign countries like Singapore or Malaysia than those available locally within Dubai itself.

Self-evident 

Thirdly - and this may be self-evident - select firms with experienced advisors who listen carefully to your needs and focus on providing quality customer service at each stage of your investment journey. They should be able to offer assistance related not only to local legal matters but also taxation issues pertaining specifically to foreign nationals via tailor-made solutions that meet individual specifications through sound financial planning strategies rooted in data science technology trends set by global leaders like IBM Watson Analytics AI platforms & Amazon Web Services’s Data Lakes Architecture infrastructure responsible for optimizing business decisions across multiple industries today & tomorrow!  Plus if they can showcase their portfolio of successful client acquisition images featuring prestigious developments then even better! 

Final thoughts

We have examined the various moving parts when looking for the best real estate company in Dubai. From the laws and regulations governing real estate deals to the features that each digital platform offers, this ultimate guide has it all. With so much information available, it can be difficult to make a decision— but with Time Properties, you can rest assured knowing you are in good hands. As one of the leading real estate companies in Dubai, they offer everything you need to find your dream rental properties quickly and efficiently. Whether you’re looking for luxury apartments for rent or a villa, Time Properties is here to ensure absolute satisfaction. With their knowledgeable team and industry-leading services, Time Properties is undoubtedly the right choice for all of your real estate needs in Dubai!

[aftokrator-official]

The breast cancer detection research is legitimately very cool, but the third screenshot is incredibly misinformed about what AI is and how it works, to a degree that I think is actively harmful. I'll take it line by line.

"Analytical ai vs generative ai": these are not actually meaningful or distinct categories. They are use cases. "AI" is essentially a shorthand for a set of techniques that computer scientists call "deep learning" - basically, running certain kinds of calculations on large data sets to create statistical models that can, we hope, make predictions about similar data. This is still a pretty broad field, and there's a lot of different techniques and ways they can be applied - you probably can't just take ChatGPT's model and retrain it to identify breast cancer (and even if you could, you definitely shouldn't). But ALL deep learning is based on the same principles and the same kinds of calculations. It's a bit like the difference between two different 3D game engines - say, Unity and Unreal Engine. There are distinctions between them, sure. But both of them ultimately solve the same problems: that is, rendering objects in a 3D space and simulating physics in realtime. The basic concepts are the same, and they use the same hardware to get there.

"one of these is doing cataloguing and diagnoses and a whole bunch of stuff that's super useful": No! No no no! I'm not saying there aren't very cool, useful ways to use AI for data analysis, but there's nothing inherently good about "analytical" AI. For example, police departments using it for "predictive policing" (effectively just technologically assisted profiling), or facial recognition (which is known to be less accurate for people of color!), or government surveillance, or insurance companies rejecting claims based on AI analysis.

Even in cases that aren't as clear-cut and harmful as these, you have to be really careful. The breast cancer detection system from the original post is legitimately amazing, and has the potential to save so many lives! But it would still be profoundly irresponsible to rely solely on this technology for diagnosis. Remember, AI/deep learning is ultimately just applied statistics. There will always be outliers, false positives and false negatives, and unexpected real-world scenarios that the AI model's training data did not account for. This technology is a tool that has the potential to improve medical experts' ability to make early cancer diagnoses. It is not, itself, a medical expert. And while I don't think anyone reading this post will disagree with that, it's very easy to imagine organizations cutting costs by over-reliance on technology like this, while cutting human experts out of the process. And in the context of cancer detection and treatment, that would absolutely cost people their lives.

"The other is... being sold everywhere as solving problems but insofar as I'm concerned it mostly hallucinates language": Yeah, I do pretty much agree with this! Aside from the false dichotomy of "generative"/"analytical" AI, it IS true that AI is currently an overhyped marketing buzzword, and in that marketing hype context it usually means LLMs (large language models), such as ChatGPT. Investors and venture capitalists are fucking obsessed with this stuff, cramming it into use cases that don't really work and don't really make sense, and driving the rest of us crazy (even me, someone who works in tech and is generally interested in deep learning).

Do I think LLMs are inherently bad and useless? No, not really. There are a number of LLMs designed to write code, for example; these aren't a substitute for knowing how to code, yourself (you must know how to catch mistakes they will inevitably make) but some people do find them useful as a sort of smarter autocomplete, speeding up the more tedious and repetitive parts of writing code. Not revolutionary, rather unremarkable really, but genuinely helpful for devs who choose to use them responsibly. A far cry from AI-generated search results, or a chatbot inexplicably crowbarred into one's weather forecast app, or any of the other bullshit "features" are the hot new gimmick of the week. Nobody asked, nobody wants them, and they don't even work as advertised because they are being used for things LLMs can't fucking do, so please stop making them, we are all begging you.

"Analytical AI is also less resource intensive because it trains its model and that's it": This is COMPLETELY incorrect and makes absolutely no sense. There is no such thing as an "AI" that trains its model and then does nothing else ever. What would even be the point? Remember, an "AI" is just a VERY large and complex statistical prediction model. The larger and more complex, the more resources it will take for a computer to run those calculations and make the predictions it's been trained to make. That's true whether the prediction is "does this tissue sample show early signs of breast cancer?" or "what text should come next after this prompt?" Even if the output is very "simple," it'll still take a lot of computation power to produce that result if the statistical model is large and complex.

I'm not an expert about energy costs, but there are a lot of wild, overblown claims going around about AI energy use that aren't particularly well sourced. A lot of people seem to have the perception that AI uses energy in similar quantities (and with similar wastefulness) as NFTs/crypto, which isn't really true. Other people who are better informed than me have talked about this in more detail! For now, I'll just say that training AI models will always be more resource-intensive than using them, and there are definitely conversations to be had about best practices there... I, personally, am most critical of companies with enormous proprietary models who are not especially transparent about how they are trained or how much they cost to run. It's better for everyone - for the environment AND for science - if we can share this stuff and learn from one another rather than reinventing the wheel each time, at great expense.

No matter what your feelings are on "AI", I encourage everyone to learn a little about how deep learning/machine learning works - there are so many misconceptions flying around in the discourse, and it's not helpful to anyone. It's not some earth-shattering innovation that'll magically make everyone's lives better, and it's not some monstrous threat either - it's just a kind of technology, and it's humans who decide to use it in helpful or harmful ways - or, most realistically, a mixture of both.

[industrynewsupdates]

Mining Logistics Market Opportunity, Driving Factors And Highlights of The Market

The global mining logistics market size was estimated at USD 28.86 billion in 2023 and is projected to grow at a CAGR of 14.9% from 2024 to 2030. The market growth can be attributed to the increasing demand for metals and minerals, expansion of mining activities in remote areas, and technological advancements. Countries, like China, India, and Brazil are witnessing rapid industrialization and urbanization, leading to increased consumption of raw materials. This in turn, is driving the demand for efficient logistics solutions to transport these materials from mines to processing plants and end-users.

The expansion of mining activities in remote and hard-to-reach areas is another key market growth driver. As easily accessible mineral deposits are depleted, mining companies are exploring new regions, often located in challenging terrains with limited infrastructure. This necessitates the development of specialized logistics solutions to ensure the smooth transportation of raw materials. Furthermore, government policies and infrastructure development initiatives are playing a crucial role in shaping the mining logistics market. Governments across the globe are investing in the development of transportation networks, including road, railways, and ports, to support the mining industry.

One of the most significant trends in the market for mining logistics is the shift towards automation and smart logistics. Companies are increasingly adopting automated vehicles, drones, and robotics to streamline operations, reduce labor costs, and improve safety. Furthermore, integration of AI and machine learning in supply chain management enable companies in the market to optimize logistics operations by predicting demand, managing inventory, and identifying potential disruptions in real-time.

Gather more insights about the market drivers, restrains and growth of the Mining Logistics Market

Key Mining Logistics Company Insights

Some of the key companies operating in the mining logistics market include A.P. Moller - Maersk, ATG Australian Transit Group, Bis Industries, Blue Water Shipping, Centurion, Linfox Pty Ltd., PLS Logistics, TIBA, Tranz Logistics, and Vale.

• Blue Water Shipping is a provider of logistics services across the globe. The company’s logistics expertise includes aerospace logistics, mining logistics, chemical logistics, energy logistics, and solar energy logistics, among others. The company’s capacity for bulk cargo, cost-effectiveness, and access to specialized port infrastructure make it the most reliable and economical option for moving mined materials internationally.

• CSM Tech is engaged in providing specialized technology solutions for industries including agriculture, mining, education, healthcare, hospitality, and food security, among others. The company drives digital transformation through IoT, AI, and data analytics, offering innovative, customizable services tailored to mining companies’ needs.

Recent Developments

• In May 2024, Bralorne Gold Mines Ltd., a subsidiary of Talisker Resources Ltd signed an ore hauling agreement with Stromsten Enterprises, a trucking service provider, in partnership with Bridge River Management Corporation. Through the agreement the material from Mustang Mine will be transported to Craigmont milling facility.

• In March 2024, TIBA starts operations in Turkey. The operation in Turkey helps the company to strengthen the traffic between Turkey/Europe and Asia/Turkey, and also connect Turkey with Latin America and Africa.

Global Mining Logistics Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global mining logistics market report based on type, application, and region:

Type Outlook (Revenue, USD Million, 2017 - 2030)

• Transportation Service

• Warehousing & Storage Service

• Value-added Service

Application Outlook (Revenue, USD Million, 2017 - 2030)

• Iron Ore

• Metals

• Coal

• Gold

• Others

Regional Outlook (Revenue, USD Million, 2017 - 2030)

• North America

o U.S.

o Canada

o Mexico

• Europe

o UK

o Germany

o France

• Asia Pacific

o India

o China

o Japan

o South Korea

o Australia

• Latin America

o Brazil

• Middle East and Africa (MEA)

o Kingdom of Saudi Arabia (KSA)

o UAE

o South Africa

Order a free sample PDF of the Mining Logistics Market Intelligence Study, published by Grand View Research.

[chipped-chimera]

THIS. DEAR LORD THIS. THIS IS WHAT HAS BEEN DRIVING ME INSANE ABOUT AI.

Look I have contemplated writing an AI Analysis post coming from an actual artist's perspective SEVERAL times with the knowledge I've accumulated but rarely have the spoons to do it but I'll just do a short bit of it now.

So when something really upsets me that is happening and I have little control, I habitually do this thing where I will actively go out there and research the shit out of it. Because I've spent enough time in therapy to know the thing that scares us the most is the unknown. Make the unknown known? It becomes significantly less scary.

And I am backing it up when they say 'AI is a buzzword'. It 120% is. What the AI labelling is hiding under the world's biggest and perhaps most obfuscated umbrella-term is machine learning.

So it would probably shock you to know, by that metric we have been using AI for YEARS. Your autocomplete keyboard on your phone that remembers your words according to usage? Machine learning. Facial recognition on mobile phone cameras and facebook? Machine learning. The ALGORITHMS that have been driving a lot of my most beloathed social medias for years? MACHINE. LEARNING. Auto-generated captions on videos, reverse image searching, targeted advertising, analysis of weather systems, handwriting recognition, DNA sequencing, search engines, and of course your dynamic enemy 'AI' in videogames that has to react to your actions as a player - these are ALL products of machine learning and by that metric? You have technically been using AI for years but we just didn't call it that yet.

In my great search of understanding all things AI, what an Australian tech journalist commentator said was - we're basically calling anything 'new' in machine learning that we don't quite understand yet collectively 'AI'. And I agree 100%. The reality is AI has been with us since about the 1960s.

Hang on Chimera/Kery I hear you say, on the Wikipedia page of machine learning it says machine learning is a result of trying to build AI, not AI! Yes, but you literally cannot have the 'Intelligence' part without the machine learning part. You take out the learning and you've just got a brick of data that you can't do shit with. The intelligence part comes in when based on the data it's been fed and the responses it has gotten back from it's environment, whether that is a researcher saying yes or no, or literal environmental feedback in a robot that is learning optimal locomotion through a space - it executes actions. So again, by that metric when you whip out your phone to take a selfie and your phone starts to track where your face is? It is executing an action based on its data-set of 'what is a face'. That. Is. AI.

So everything is AI now? Yeah it's an umbrella term, that's what I said. The disparity between knowing what machine learning and AI is to the point we call specific things AI (image generation, large language models, voice generation) and other things 'not AI' (see my long list again) is down to MARKETING.

Let me take you back to the tail 'end' of the pandemic. You're OpenAI and through scraping a lot of publically available data of just people chatting or writing various things - with dubious consent - you have made a really good chat-bot. Yeah you heard me, CHAT-BOT. If you're old like me, you remember chat-bots - they're those goofy things you played with as a teenager and laughed at because it'd say silly things and it'd be funny to put two together trying to talk to each other because they'd begin spouting nonsense and getting stuck in a loop. Or they're the widely hated artificial help systems on government websites embedded in a chatbox that does jack shit. Or the annoying pop up on some website you're just trying to buy shit from and stock-image-sandra is here in a text box 'ready to help you'. Chat-bots have an image problem. You can't release ChatGPT, your fancy chat-bot as a 'chat-bot', how the hell are you supposed to get investors? You've got some really good projects on the go (with dubiously sourced data) but you're running out of money. You need to do something fast.

So you take out the AI umbrella term, and right before everyone is just about ready to leave their hermit-chronically-online-pandemic-induced lifestyles - you drop the metaphorical bomb. You hand over your tech, now with the shiny new AI label, to the public. The AI label hides the fact from the public that you're basically rebranding shit we've had forever and by keeping it purposefully murky you can (hopefully) get people to ignore the fact that you've basically pulled vast swathes of data with dubious consent because - but it's AI! It's such a superior piece of technology! We can't un-invent the wheel because the ends didn't justify the means! It could change the world!

Despite the fact it's been 'changing the world' since 1960 and the only difference here is you linked enough computers together to make it better than what was currently available. But you now have to pay electricity costs for all that tech so, out into the wild it goes!

And now you've triggered a technological arms race and the use of AI (and your bottom line) is skyrocketing! AI that was previously the domain of government and massive corporate use is now in the hands of people to play with - their personal tech literacy be dammed (no literally be dammed, the less they understand the better). And they won't want to have it taken off them - in fact they'll fight each other over the value of your chat-bot and image generator in spite of the fact you stole data to train it. So your profits keep rolling in and next minute, despite your ethos being 'open source to all' - you're getting approached by Microsoft for a partial buy in and now you're 'semi-private', whatever the hell that means. Who cares! Money!

I have so, so much more to say on all this but I'll leave it for a proper post. But the lesson of this very tl;dr history of OpenAI is this: AI is machine learning. Machine learning is a TOOL. AI is a TOOL.

And a tool is only as ethical as the hand that chooses to wield it. Artificial intelligence is neutral. It is not good. It is not bad. It is just like the knife on your kitchen bench, with all the potential of doing good and useful things like help you make dinner and also horrendous, horrible things like commit a violent crime. And who made the knife in your kitchen? Is it artisan? Handcrafted by someone well paid in their profession? Or was it mass produced in third world conditions? Now is your knife itself bad? Should we ban all kitchen knives?

AI is a marketing buzzword for shit we've had for years - this is just the shiny version that went public to get money and we all fell for it hook, line and sinker.

So I challenge you, the next time something wizz-bang-shiny-tech-whatever is placed in front of you, and maybe it's a bit scary - to do what I do. Instead of filing it into a box of good or bad, start arguments online with someone with only limited information over whether someone is 'good' or 'bad' for participating or not participating in use of this technology because it's now emotionally loaded for you - do what I do. RESEARCH IT. Understand it, deeply. Listen to commentary on it from both sides, learn about the intent of why it was handed to you and for the love of god USE SOME CRITICAL THINKING SKILLS.

Because I guarantee you once you do that? Stuff will quickly become a lot less murky. You'll be able to see where your own blindspots are, and prevent them from being exploited - in this case, being taken advantage of by big corporations who are trying to pull and 'oopsie-woopsie' on unethical datasets for profit. You'll be able to hold them accountable. You'll also be less likely to get pulled into stupid arguments online about shit because you know it is way more nuanced than tech-bro putting out his big titty waifu image soup - he's small game here. Who cares about him. Go for the people at the top of this who are hoping to keep sliding on by with their rolling profits because you're too busy having fights among yourselves. Go for them and go for the fucking throat.

Any technology can be used for weal or woe, and it is entirely about the hand who wields it. Or in this case, the hand who programmed it.

If we want to continue to use AI or Machine Learning in an ethical, revolutionary manner we need to stop falling for the marketing, and hold each other accountable to uses that will continue to benefit humanity. Not pull it apart.

So yes. AI is a buzzword. Stop falling for it.