#Global Artificial Intelligence Platform Market

[lalsingh228-blog]

Artificial Intelligence Platform Market Insights, Status And Forecast to 2030

The Latest research study released by AMA “Worldwide Artificial Intelligence Platform Market” with 100+ pages of analysis on business Strategy taken up by key and emerging industry players and delivers know how of the current market development, landscape, technologies, drivers, opportunities, market viewpoint and status. Understanding the segments helps in identifying the importance of different factors that aid the market growth. Some of the Major Companies covered in this Research are Microsoft (United States), Google (United States), Salesforce (United States), IBM (United States), Intel (United States) , Amazon Web Services (United States), HPE (United States) , Ayasdi (United States), Qualcomm Technologies (United States), Absolutdata (United States).

Free Sample Report + All Related Graphs & Charts @: https://www.advancemarketanalytics.com/sample-report/69635-global-artificial-intelligence-platform-market Brief Summary of Artificial Intelligence Platform:

Artificial Intelligence Platform may be a framework designed for various industries to work more efficiently and intelligently than traditional frameworks. It can help to scale back costs during a number of methods like preventing duplication of labor, automating easier tasks, and eliminating several expensive activities, like copying or extracting of knowledge. A man-made intelligence platform also provides data management, guaranteeing the utilization of best methods by a team of AI researchers and machine learning experts. It helps to make sure that the work is distributed uniformly and completed quickly. Market Trends:

Innovation in Big Data technology

Adoption of AI Capabilities

Market Drivers:

Growth of Automotive Industries and IT-firms

Market Challenges:

Adoption of Latest Technology by the Businesses during the Pandemic

Market Opportunities:

Increase in Innovations across End-users and Use of Artificial Intelligence to Identify Business Trends

The Global Artificial Intelligence Platform Market segments and Market Data Break Down are illuminated below: by Application (Forecasts and Prescriptive Models, Chat-bots, Speech Recognition, Text recognition, Others), Deployment Mode (Cloud, On-premises), End-User (Manufacturing, Healthcare, BFSI, Research and academia, Transportation, Retail and e-commerce, Others), Component (Tools, Services) This research report represents a 360-degree overview of the competitive landscape of the Global Artificial Intelligence Platform Market. Furthermore, it offers massive data relating to recent trends, technological, advancements, tools, and methodologies. The research report analyzes the Global Artificial Intelligence Platform Market in a detailed and concise manner for better insights into the businesses. Regions Covered in the Global Artificial Intelligence Platform Market:

The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)

North America (United States, Mexico & Canada)

South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)

Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)

Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Enquire for customization in Report @ https://www.advancemarketanalytics.com/enquiry-before-buy/69635-global-artificial-intelligence-platform-market The research study has taken the help of graphical presentation techniques such as infographics, charts, tables, and pictures. It provides guidelines for both established players and new entrants in the Global Artificial Intelligence Platform Market. The detailed elaboration of the Global Artificial Intelligence Platform Market has been provided by applying industry analysis techniques such as SWOT and Porter’s five-technique. Collectively, this research report offers a reliable evaluation of the global market to present the overall framework of businesses. Attractions of the Global Artificial Intelligence Platform Market Report:

The report provides granular level information about the market size, regional market share, historic market (2018-2023) and forecast (2024-2032)

The report covers in-detail insights about the competitor’s overview, company share analysis, key market developments, and their key strategies

The report outlines drivers, restraints, unmet needs, and trends that are currently affecting the market

The report tracks recent innovations, key developments and start-up’s details that are actively working in the market

The report provides plethora of information about market entry strategies, regulatory framework and reimbursement scenario

Get Up to 10% Discount on This Premium Report: https://www.advancemarketanalytics.com/request-discount/69635-global-artificial-intelligence-platform-market Strategic Points Covered in Table of Content of Global Artificial Intelligence Platform Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Artificial Intelligence Platform market

Chapter 2: Exclusive Summary – the basic information of the Artificial Intelligence Platform Market.

Chapter 3: Displayingthe Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Artificial Intelligence Platform

Chapter 4: Presenting the Artificial Intelligence Platform Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2017-2022

Chapter 6: Evaluating the leading manufacturers of the Artificial Intelligence Platform market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2023-2028)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source finally, Artificial Intelligence Platform Market is a valuable source of guidance for individuals and companies. Get More Information @: https://www.advancemarketanalytics.com/reports/69635-global-artificial-intelligence-platform-market Artificial Intelligence Platform Market research provides answers to the following key questions:

What is the expected growth rate of the Artificial Intelligence Platform Market?

What will be the Artificial Intelligence Platform Market size for the forecast period, 2024 – 2032?

What are the main driving forces responsible for changing the Artificial Intelligence Platform Market trajectory?

Who are the big suppliers that dominate the Artificial Intelligence Platform Market across different regions? Which are their wins to stay ahead in the competition?

What are the Artificial Intelligence Platform Market trends business owners can rely upon in the coming years?

What are the threats and challenges expected to restrict the progress of the Artificial Intelligence Platform Market across different countries?

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia.

Contact US : Craig Francis (PR & Marketing Manager) AMA Research & Media LLP Unit No. 429, Parsonage Road Edison, NJ New Jersey USA – 08837 Phone: +1 201 565 3262, +44 161 818 8166 sales@advancemarketanalytics.com

[probablyasocialecologist]

It’s hard to talk about 21st-century economic history without discussing the “China shock”. That is the term often used to describe China’s entrance into the global market, a change that brought rich countries an abundance of cheap goods, but left entire industries and workforces mothballed. DeepSeek may provide a sequel. A little-known Chinese hedge fund has thrown a grenade into the world of artificial intelligence with a large language model that, in effect, matches the market leader, Sam Altman’s OpenAI, at a fraction of the cost. And while OpenAI treats its models’ workings as proprietary, DeepSeek’s R1 wears its technical innards on the outside, making it attractive for developers to use and build on. Things move faster in the AI age; terrifyingly so. Five of the biggest technology stocks geared to AI — chipmaker Nvidia and so-called hyperscalers Alphabet, Amazon, Microsoft and Meta Platforms — collectively shed almost $750bn of market value before US markets opened on Monday. It could be particularly grim for Nvidia if it proves true that DeepSeek won without the use of its shiniest chips.

27 January 2025

[sayruq]

Meta identifies networks pushing deceptive content likely generated by AI

Meta (META.O) said on Wednesday it had found "likely AI-generated" content used deceptively on its Facebook and Instagram platforms, including comments praising Israel's handling of the war in Gaza published below posts from global news organizations and U.S. lawmakers. The social media company, in a quarterly security report, said the accounts posed as Jewish students, African Americans and other concerned citizens, targeting audiences in the United States and Canada. It attributed the campaign to Tel Aviv-based political marketing firm STOIC. While Meta has found basic profile photos generated by artificial intelligence in influence operations since 2019, the report is the first to disclose the use of text-based generative AI technology since it emerged in late 2022. Researchers have fretted that generative AI, which can quickly and cheaply produce human-like text, imagery and audio, could lead to more effective disinformation campaigns and sway elections. In a press call, Meta security executives said they removed the Israeli campaign early and did not think novel AI technologies had impeded their ability to disrupt influence networks, which are coordinated attempts to push messages.

[mariacallous]

Big Tech may have found their response to the European Union’s (EU) digital competition and content moderation policies: tariffs. “We’re going to work with President Trump to push back on governments around the world,” Meta CEO Mark Zuckerberg said in his announcement eliminating the company’s fact-checkers. President Trump, of course, has described himself as a “Tariff Man.”

Europe’s “ever-increasing number of laws, institutionalizing censorship” were number one on the Zuckerberg target list. The only way Meta “can push back on this global trend is with the support of the U.S. government,” he explained, adding, “that’s why it’s been so difficult over the past four years when even the U.S. government has pushed for censorship.”

The semantic conflation of curatorial responsibility and censorship, a familiar domestic political gambit, has been internationalized and weaponized to attack the expectation—at least in Europe—that media platforms like Meta should practice responsible content curation.

Tariffs and truth

Thanks to intensive lobbying by Big Tech, the U.S. Congress has done little to provide meaningful oversight of the digital platform companies. The tech CEOs invited to the Trump inaugural lead companies that dominate the free flow of information, invade personal privacy, and pervert the competitive marketplace. Yet, these companies have been able to avoid meaningful domestic oversight for their entire existence.

The void created by American inaction has been filled by EU regulations despite the companies’ strong objections. Combining claims of censorship with Donald Trump’s affinity for tariffs just might be the leverage Big Tech seeks against the EU’s digital policies. Mark Zuckerberg appears ready to spearhead the effort.

By framing the EU’s actions as “institutionalizing censorship,” and asserting that the EU is “going after American companies and pushing to censor more,” Zuckerberg presses all the right MAGA buttons to provide a rationale for the Trump administration to fight the EU’s decisions. It is not a surprising strategy, and is made even more significant because it reverses previous corporate policy.

After the January 6 insurrection, Facebook along with Twitter suspended Donald Trump’s account. “They shouldn’t be allowed to get away with this censoring and silencing,” President Trump said at the time. Accusing Zuckerberg of plotting against him, Trump wrote in a 2024 book that the Meta CEO could, “spend the rest of his life in prison.”

Meta’s 2025 policy switch, however, has been met with the new president’s approval. Asked if Meta was responding to his earlier threats, Trump replied, “probably,” adding, “I think they have come a long way.” 

What’s the fuss over EU regulation?

The EU has enacted multiple laws to try and provide oversight of the previously unsupervised activities of Big Tech. It started in 2018 with privacy protection under the General Data Protection Regulation (GDPR). In 2022, the European Parliament passed the Digital Markets Act (DMA) to deal with the lack of digital marketplace competition. Twenty-twenty-four saw the AI Act (AI) establishing a regulatory framework for artificial intelligence.

All these actions were aggressively fought by Big Tech. But for social media companies, the EU legislation that is the biggest challenge is the 2022 Digital Services Act (DSA). This law covers a handful of online platform companies deemed pervasive enough to be “gatekeepers” with a new style of regulation.

Instead of the traditional form of regulatory oversight that micromanages how a company operates, the DSA establishes expectations for what the company will deliver.  These expectations include content moderation and transparency. The law does not specify how moderation is achieved, but that it is being done in a meaningful and significant manner. Far from regulatory micromanagement of corporate operations, the companies are required to self-certify that they are delivering on the law’s expectations. If they are not, then there are penalties.

While Meta has eliminated fact-checking in the U.S., it has not done so in the EU. It is hard to certify content moderation, as the DSA requires, when you’ve fired all the moderators. This has created a conflict between the company’s U.S. practices and EU requirements. Even if it represents a legal problem, the decision is good for the company since social media platforms, such as Meta, thrive on engagement-stimulating, unedited rage, and bottom-line profits should increase with the elimination of fact-checking jobs.

Elon Musk and NATO—a signal?

Comments by Vice President Vance during the 2024 campaign hinted at leveraging the power of the federal government to deal with DSA requirements. Asked in an interview whether American support of NATO could hinge on whether the EU regulated Elon Musk’s social media platform X, Vance responded affirmatively.

“So, what America should be saying is, if NATO wants us to continue supporting them and NATO wants us to continue to be a good participant in this military alliance, why don’t you respect American values and respect free speech?” Vance said. “It’s insane that we would support a military alliance if that military alliance isn’t going to be pro-free speech. I think we can do both. But we’ve got to say American power comes with certain strings attached. One of those is respect free speech, especially in our European allies.”

These comments reveal a willingness to link trade and security to digital regulation. A tariff-based response to EU policies seems plausible under such a mindset.

A regulation vs. trade crusade?

On his first day as President of the United States, Donald Trump said “tariff is the most beautiful word in the dictionary.” A few days later, he threatened the EU with tariffs unless they bought more U.S. oil and gas.  

The U.S. has a trade deficit with the EU when it comes to goods such as oil and gas but a favorable trade balance when it comes to services such as those of Big Tech. The challenge, therefore, is not to use tariffs to force the EU to buy more, but, as Zuckerberg told the Joe Rogan podcast, “the United States should be defending its companies.”

Caught between a U.S. Congress that has done little to protect against misinformation and hate, and the world’s second largest trading block which has tried to combine freedom of expression and the expectation of curatorial responsibility, Big Tech faces a dilemma. The combined arguments of censorship and defending American companies is a powerful elixir served to an audience of one man.

Wall Street analysts hail Mark Zuckerberg as “the best CEO of our time” for his ability to align Meta’s self-interest with prevailing political winds. The emerging narrative of “censorship vs. trade” is a powerful, if calculated, political move. Threatening tariffs in response to EU digital regulations could be a strategy that appeals to “Tariff Man.”

Ironically, this push comes at a time when artificial intelligence offers low-cost tools for fact-checking and content moderation. Yet, the political calculus behind the “censorship vs. trade” strategy may overshadow technical realities.

Mark Zuckerberg’s maneuvering is a shrewd effort to redefine the debate about European digital regulation. The question now becomes whether President Trump will add relaxed enforcement of the EU’s digital laws—all of them—to his list of trade demands.

[justinspoliticalcorner]

Dean Obeidallah at The Dean's Report:

“The one big thing nobody is talking about: Did Elon want to shut the government down because of his business deals with China?” That was the first line of Rep. Jim McGovern (D-Mass) multi-part statement Saturday posted on Elon Musk’s platform, X--ironically enough. A similar point was also made Friday by Rep. Rosa DeLauro (D-CT)—the ranking minority member of the House Appropriations Committee-in a detailed letter to leaders of the House and the Senate. What was the issue the two were flagging? As Rep. McGovern wrote: “The original funding bill (that he [Musk] killed) included what’s called an “outbound investment” provision—which would limit & screen U.S. money flowing to China. That would have made it easier to keep cutting-edge AI and quantum computing tech—as well as jobs—in America. But Elon had a problem.” DeLauro gave even more context to this provision vetting investments in China: “This outbound investment provision was agreed to after months of bipartisan, bicameral negotiations and years of advocacy from Members of Congress. It would have kept innovation and manufacturing in semiconductors, artificial intelligence (AI), quantum computing, and other cutting-edge technologies in the United States and prevented wealthy investors from continuing to offshore production and U.S. intellectual property into China – benefiting only their bottom lines and the Chinese Communist Party.” But Musk—per these two members of Congress—led the charge to block this proposed legislation because as McGovern accurately noted, Musk’s “second-largest market is China. He’s building huge factories there. His bottom line depends on staying in China’s good graces.” The result was that when the new budget deal was agreed upon Friday, guess what was missing? Yep, the provision that would’ve been bad for Musk’s business deals with the Chinese Communist Party—which is in essence Musk’s business partner as the NY Times detailed earlier this year in an article titled, “How Elon Musk Became ‘Kind of Pro-China.’” (Musk’s exact words.)

Rep. DeLauro explained in more detail the financial incentive behind Musk’s action to block this provision: “Musk’s car company, Tesla has poured billions of dollars into investments in China, particularly its “gigafactory” in Shanghai. The Shanghai plant is Tesla’s largest car manufacturing facility – the Chinese gigafactory produced about 50 percent of Tesla’s global automobile output over the last year.” DeLauro continued, “And in May of this year, Tesla broke ground on a new $200 million factory to manufacture large batteries critical to its electric vehicle supply chain…Notably, proponents of regulating U.S. investment in China have advocated for the inclusion of large battery manufacturing in the list of technologies subject to outbound investment screening.” Yep, these new law could’ve impacted Musk’s new business venture per DeLauro.

Rep. McGovern also raised concerns about Musk’s future business plans involving China, explaining Musk “wants to build an AI data center there too—which could endanger U.S. security.” Importantly, DeLauro detailed for all to see Musk’s documented personal relations with the Chinese Communist Party, noting, “Musk has ingratiated himself with Chinese Communist Party leadership.” For example, she cited Musk’s close ties with “Chinese premier Li Qiang, who helped rush the construction of Tesla’s Shanghai gigafactory.” DeLauro concluded her letter by writing, “It is extremely alarming that House Republican leadership, at the urging of an unelected billionaire, scrapped…this critical provision to protect American jobs and critical capabilities.” Adding, “This is particularly concerning given Elon Musk’s extensive investments in China in key sectors and his personal ties with Chinese Communist Party leadership, and calls into question the real reason for Musk’s opposition to the original funding deal.”

[...] In fact, even a well-known Republican raised alarm bells about Musk’s loyalty to Beijing. Vivek Ramaswamy--who Trump tapped with Musk to co-head the newly created Department of Government Efficiency--was publicly warning in 2023 that Musk was a puppet for the Chinese Communist Party. As CNN recently reported, Ramaswamy was concerned that “Tesla is increasingly beholden to China,” adding damningly, “I have no reason to think Elon won’t jump like a circus monkey when [China’s leader] Xi Jinping calls in the hour of need.” The GOP silence on Musk’s extensive ties to the Chinese Communist Party is beyond hypocritical given that for years Republicans have slammed China as a threat. For example, in January 2023, the House GOP created “The Select Committee on the Chinese Communist Party” designed to address the “threat posed by the Chinese Communist Party and develop a plan of action to defend the American people, our economy, and our values.” Earlier this year, the House GOP led the charge to ban Tik Tok from having access to the United States--which was signed into law and goes into effect Jan. 19, 2025 unless the Chinese company that owns the social media platform sells it to a non-Chinese company. But when it comes to Musk, the GOP doesn’t care that he has documented ties to top Chinese Communist Party officials.

CCP puppet and de facto “President” Elon Musk helped block the original CR to protect his business deals with the Chinese government, because it had an “outbound investment” provision that would screen any US money sent to China.

[dertaglichedan]

Googling Is for Old People. That’s a Problem for Google.

https://www.wsj.com/tech/googling-is-for-old-people-thats-a-problem-for-google-5188a6ed

And it’s not just demographics that are weighing on the search giant. Its core business is under siege from pressures that threaten to dismantle its ecosystem of search dominance and digital advertising.

If Google were a ship, it would be the Titanic in the hours before it struck an iceberg—riding high, supposedly unsinkable, and about to encounter a force of nature that could make its name synonymous with catastrophe.

The trends moving against Google are so numerous and interrelated that the Justice Department’s attempt to dismantle the company—the specifics of which were unveiled Nov. 20—could be the least of its problems.

The company’s core business is under siege. People are increasingly getting answers from artificial intelligence. Younger generations are using other platforms to gather information. And the quality of the results delivered by its search engine is deteriorating as the web is flooded with AI-generated content. Taken together, these forces could lead to long-term decline in Google search traffic, and the outsize profits generated from it, which prop up its parent company Alphabet’s GOOGL -0.17%decrease; red down pointing triangle money-losing bets on things like its Waymo self-driving unit.

The first danger facing Google is clear and present: When people want to search for information or go shopping on the internet, they are shifting to Google’s competitors, and advertising dollars are following them. In 2025, eMarketer projects, Google’s share of the U.S. search-advertising market will fall below 50% for the first time since the company began tracking it.

In responding to government antitrust inquiries, Google itself makes this point often: “Evidence at trial shows we face fierce competition from a broad range of competitors.” 

This shift is due largely to users’ bypassing Google to start their search for goods on Amazon. It’s handing Amazon billions in advertiser dollars. Meanwhile, TikTok has less than 4% of U.S. digital ad revenue, but significant potential to expand its share of the pie. A recent TikTok pitch to advertisers reported on by The Wall Street Journal said that 23% of its users searched for something within 30 seconds of opening the app, and its global search volume was three billion a day.

[darkmaga-returns]

February 10, 2025

China Urged To End Successful Policies

In a variant of the Sowing Doubt About China - But At What Cost? propaganda scheme, the New York Times makes the (somewhat racist) claim that China lacks the capability to turn talent into innovation:

What DeepSeek’s Success Says About China’s Ability to Nurture Talent (archived) - New York Times, Feb 10 2025

The subtitle reveals the core thesis:

China produces a vast number of STEM graduates, but it hasn’t been known for innovation. Cultural and political factors may help explain why.

In a globalized world the innovation ability of a country can be measured by the number of global patents it files.

China, which the NYT says is not known for innovation, is by far leading the pack.

One might argue that China, with four times the population of the United States, should have innovated even more than that. But seen under this aspect the U.S. is also far from the top.

Per million inhabitants China filed 1.2 patents per year while the United States filed 1.5. But the real leaders here are South Korea with 5.5 patents per year per million people followed by Japan with 3.3/y/million.

Real world numbers are not sufficient to support the NYT's central thesis. That is why it barely mentions some. Its argument comes down to a political one:

Pavel Durov, the founder of the messaging platform Telegram, said last month that fierce competition in Chinese schools had fueled the country’s successes in artificial intelligence. “If the U.S. doesn’t reform its education system, it risks ceding tech leadership to China,” he wrote online. The reality is more complicated. Yes, China has invested heavily in education, especially in science and technology, which has helped nurture a significant pool of talent, key to its ambition of becoming a world leader in A.I. by 2025. But outside of the classroom, those graduates must also contend with obstacles that include a grinding corporate culture and the political whims of the ruling Communist Party. Under its current top leader, Xi Jinping, the party has emphasized control, rather than economic growth, and has been willing to crack down on tech firms it deems too influential.

If that is indeed so why is it supposed to be bad?

Is it really healthy for a country to have Apple, Nvidia, Microsoft, Amazon and Alphabet (Google) leading in Market Cap? The author fails to follow that question.

She instead misleads about the alleged crack-down:

Beijing has blessed the A.I. sector — for now. But in 2020, after deciding that it had too little control over major companies like Alibaba, it launched a sweeping, yearslong crackdown on the Chinese tech industry.

The crack-down against Alibaba owner Jack Ma came when he tried to expand Alibaba into the so called fin-tech business.

Juggling with credit and various derivatives thereof is a part of the economy that is better to be kept under control. The 2008 mortgage credit crisis and the following government bailout of private banks have taught as much. Pouring money and talent into a sector that is not productive and carries high risk is not in any societies' best interest.

[eaglesnick]

“No government that is for the profiteers can also be for the people, and I am for the people, while the government is for the profiteers.”— Rose Pastor Stokes

There is a cost of living crisis and it is not about to end anytime soon.

Food and non-alcoholic drink inflation reached a peak of 19.2% in October 2022. Although food and drink inflation is now much lower, it is never the less still rising, being 1.8% higher than a year ago. Today, the Uk  has the highest core inflation rate among the G7 countries as well as the highest level of food price inflation. A study by BravoVoucher predicts the cost of everyday food items will increase rapidly by 2030.

“This research provides a scary look into the future of food prices if current inflation trends continue. The dramatic increase we’ve seen in prices for everyday essentials like olive oil and baked beans is particularly concerning. It highlights the urgent need for effective economic policies to stabilize inflation and protect consumers.” (Social Equality: 22/07/24)

While food inflation is set to rage, super markets continue to make record profits. 

Asda reported  £1.1bn in profit for year ending 31st December 2023, a 24% increase on the previous year. Tesco reported raking in a massive £2.83bn in profit, a 12.7% increase on the year before. Simsbury’s is predicting profits of £1bn in 2024, and Waitrose has reported a 17% increase  in profits.

The lower end supermarkets are making even bigger profits. Lidl reported a quadrupling of profits for the year ending February 2022, and Aldi tripled their profits over the same period.

The point I am making is that while the cost of living crisis continues unabated the major supermarkets are busy increasing profits for their shareholders. There are many reasons the cost of food has increased, from global supply chain disruption, a rise in energy costs, to increased food production costs, but one that is never mentioned is the massive spike in supermarket profits.

Yesterday I talked about dynamic pricing – the practice of changing prices to match demand and supply – the most ridiculous example of this new form of greed being walking into a Stonegate pub at 8pm and being charged 20p more for a pint than if you had ordered the exact same drink a few hours earlier.

Tesco already use dynamic pricing for their online shopping platform, to allow:

“the company to optimise its pricing for maximum profitability” (The Strategy: Tesco Marketing Mix)

OK, so dynamic pricing is employed for Internet food sales. Most of us still prefer to go to the supermarket in person and “feel the goods” as it were. So we are safe from dynamic pricing. NOT SO!

More and more of British supermarkets are introducing dynamic pricing to the “in-store” experience in the form of electronic shelf-edge labels. (ESL’s)  Tesco, Sainsbury’s, Morrisons, Asda and M&S are all reported to be experimenting with ESL’s using Artificial Intelligence to generate algorithms to determine price minute by minute. Electronically displayed prices on the edge of shelving means prices can be changed minute by minute depending upon demand and supply.

Gone is the notion of value for money. The only thing that will matter  will be how much the customer is willing to pay for any particular item at any given particular moment in time, regardless of what it cost to produce.

If price is going to be determined by how much people are willing to pay, how long before we have the scenario of the  sole remaining can of baked beans on a Tesco shelf being sold not at its current price of  £1.40 per can but at £2.50 simply because one shopper has more money than another?

Profiteering has been described as:

“The practice of making or seeking to make excessive or unfair profit, especially illegally or in a black market”

Profiteering now has another definition: dynamic pricing.

[tieflingkisser]

Meta’s new AI council is composed entirely of white men

Women AI leaders remain overlooked in Big Tech

Meta on Wednesday announced the creation of an AI advisory council with only white men on it. What else would we expect? Women and people of color have been speaking out for decades about being ignored and excluded from the world of artificial intelligence despite them being qualified and playing a key role in the evolution of this space.  Meta did not immediately respond to our request to comment about the diversity of the advisory board.  This new advisory board differs from Meta’s actual board of directors and its Oversight Board, which is more diverse in gender and racial representation. Shareholders did not elect this AI board, which also has no fiduciary duty. Meta told Bloomberg that the board would offer “insights and recommendations on technological advancements, innovation, and strategic growth opportunities.” It would meet “periodically.”  It’s telling that the AI advisory council is composed entirely of businesspeople and entrepreneurs, not ethicists or anyone with an academic or deep research background. While one could argue that current and former Stripe, Shopify and Microsoft executives are well positioned to oversee Meta’s AI product roadmap given the immense number of products they’ve brought to market among them, it’s been proven time and time again that AI isn’t like other products. It’s a risky business, and the consequences of getting it wrong can be far-reaching, particularly for marginalized groups.

[...]

Women are far more likely than men to experience the dark side of AI. Sensity AI found in 2019 that 96% of AI deepfake videos online were nonconsensual, sexually explicit videos. Generative AI has become far more prevalent since then, and women are still the targets of this violative behavior.  In one high-profile incident from January, nonconsensual, pornographic deepfakes of Taylor Swift went viral on X, with one of the most widespread posts receiving hundreds of thousands of likes, and 45 million views. Social platforms like X have historically failed at protecting women from these circumstances — but since Taylor Swift is one of the most powerful women in the world, X intervened by banning search terms like “taylor swift ai” and taylor swift deepfake.” But if this happens to you and you’re not a global pop sensation, then you might be out of luck. There are numerous reports of middle school and high school-aged students making explicit deepfakes of their classmates. While this technology has been around for a while, it’s never been easier to access — you don’t have to be technologically savvy to download apps that are specifically advertised to “undress” photos of women or swap their faces onto pornography. In fact, according to reporting by NBC’s Kat Tenbarge, Facebook and Instagram hosted ads for an app called Perky AI, which described itself as a tool to make explicit images. 

[...]

The current development of AI embodies the same existing power structures regarding class, race, gender and Eurocentrism that we see elsewhere, and it seems not enough leaders are addressing it. Instead, they are reinforcing it. Investors, founders and tech leaders are so focused on moving fast and breaking things that they can’t seem to understand that generative AI — the hot AI tech of the moment — could make the problems worse, not better. According to a report from McKinsey, AI could automate roughly half of all jobs that don’t require a four-year degree and pay over $42,000 annually, jobs in which minority workers are overrepresented. 

[thekalpar]

This is a Grift and You Shouldn't Fall for It

I want to talk about an article I saw from thebookseller.com that came out Monday which talks about a new AI-powered publishing platform called Spines which wants to disrupt the publishing industry by providing a new platform. I encourage you to read the actual article here, but I want to address how they are, based on my own observation as an independent author, a grift and why you shouldn’t fall for it.

Let’s address the first concern which I and probably a few other people have when presented with Spines’s goal of publishing 8,000 books in 2025 alone. Doing a very quick, unscientific google search, we can find that of the biggest traditional publishers in the United States, only Penguin Random House and Harper Collins publish more than 8,000 books a year, and these are massive global corporations. The next two largest, Hachette Book Group and Simon & Schuster, publish only roughly 2,000 books a year and these are still some of the big boys on the block. So the goal of publishing 8,000 books a year is certainly ambitious for Spines. How is this going to be done?

There are two possibilities and one is that a lot of this is going to be books produced in part or entirely by plagiarism software (“AI”). I want to acknowledge that as a real possibility, but I want to go forward with the good-faith assumption that there will be a significant number of passionate people who have poured their heart and soul into writing a book and are going to be taken advantage of by these techbros. Even before plagiarism software became widely available, self-publishing on Amazon had exploded and we saw millions of books self-published in just an ebook form every year. So I imagine that these people, who are self-publishing on Amazon and other places, are probably the market for Spines.

Now how do I know this is a scam? I do not have a ton of experience is self-publishing because I’ve only published two books at time of writing, but I do have recent hands-on experience which makes me qualified. There isn’t a lot of info in the article on what services Spines is offering but we get an exact number on cost as well as types of services in the article. “Spines costs $1,200 to $5,000 to automate proofreading, cover design, metadata optimisation and limited translation services, starting with Spanish.” Now, this may, on the low end, be cheaper than hiring professionals to do this kind of work, but it’s still going to be a scam because you’re going to get a shoddy product.

Let’s start with proofreading, which is under the umbrella of editing but is one of several types of editing. As Reedsy explains, there are four distinct types of editing, all of which come with specific costs. First there is editorial assessment, which is when you have a very, very rough draft and need some direction on writing it. (I have not yet done editorial assessment because I have been fortunate enough to be plagued with the knowledge of what I’m writing.) This is very broad advice which an AI cannot provide but a human can. Second is developmental editing for a finished manuscript, which is where you have an editor go through, provide specific feedback on areas for improvement and suggestions, and point out any major issues. This is where you get into rewrites and polishing a manuscript to a finished product. Again, and AI cannot do this.

So we finally come to copy editing and proofreading. Now, I’m going to fold them together although they are technically distinct because copy editing includes proofreading as well as making sure capitalization is consistent, tenses remain consistent, you don’t repeat yourself too much, all the little things which help polish the rough edges off of your manuscript. Proofreading is checking for spelling and typos, as well as grammar issues and any formatting issues. AI can do this, as tools like Grammarly exist for this sort of thing for a couple years now. (I wouldn’t recommend using Grammarly, but that’s a separate rant for a separate day.) Plus, you know, spellcheck which has been around since the 1990s. Technically this is a task which AI can do, but it can still make mistakes such as with homophones (the train went threw the tunnel). And with so many free tools available if you’re going to have AI do this task, why pay someone else to do it? AI is not going to give you insightful, meaningful feedback on your manuscript, but it will do spellcheck for you and LibreOffice does that for free anyway. So paying to have AI proofread your manuscripts doesn’t make any financial sense.

Let’s move on to the next area they want to automate, cover design. Again, I have limited experience and I can say very definitively that you can get a good cover for about $750 USD from a professional artist who will produce what you want and will be able to keep things you like but change things you don’t with an incomplete project. Plagiarism software that creates images cannot do that. Unless they’re hiring artists to touch up and improve generated images (which I doubt), all Spines is offering is another service you can get for free or cheaper elsewhere online. I highly advise against generating your cover images, if only for the fact the computer cannot give you exactly what you want. You can feed prompts into it and maybe get something close enough, but if you have a specific image of what you want for your book cover you cannot get that from AI. There are a lot of ethical arguments against plagiarism software as well, but I won’t repeat those here just for brevity’s sake. Again, if you’re willing to use plagiarism software to make your book cover, which is what the guys at Spines are offering, then you can do that cheaper elsewhere.

The final one which I can speak with any authority on is metadata, which I’ve had to enter for my own books before and you can too. For those who don’t know, metadata is information attached to the book’s ISBN and publication info that provides info about the book. This can be basic info such as the intended audience, the genre, and the subject matter, but it can also be more granular like what type of fantasy novel you have (romantasy vs cozy). While it can be an annoying or frustrating task, such as when every word to describe my book flies out of my head when I have to actually describe it, it’s also fairly simple. And I’m going to be honest, I don’t expect the AI to do much more beyond algorithm scraping and suggesting metadata like “for you” and “trending”. (Sort of like those videos that spam every popular tag in the hope of getting traction.) So I seriously doubt that this will be a service worth any sum of money.

Finally I’m going to touch briefly on translation because I haven’t translated a book and I don’t know what goes into translating one either but I can make an educated guess that it’s going to be the equivalent of pasting your manuscript into Google Translate. If you’re willing to accept that level of quality, you can get it for free. If you want a good translation you’re going to have to shell out far more money to get an actual person to do it.

And all of this doesn’t even get to a very important part of publishing, ISBNs. If you’re self-publishing you absolutely want to buy your own ISBNs, and buy multiple because they cost less if you buy them in bulk and you will need separate ISBNs for both the print and digital editions of your books. I don’t know if Spines is offering ISBNs as part of their package, they certainly could, but for independent authors it’s best practice to use your own ISBNs because you can control those opposed to whatever platform you publish on.

So are the AI-powered services that Spines is going to provide be worth it? I highly doubt it. For the amount of money you’ll end up spending you’d be better off actually hiring humans to help you with your book and get it to a finished, polished state. I can’t see this company offering you anything that isn’t already available for free or nearly free elsewhere with the same lackluster quality. If you have something you’re writing, you’re passionate about it, and you want to publish it, I highly encourage you to get real human beings to help you improve it. Reedsy (which this is not an ad for) is the platform I have used to get in contact with editors and artists to help get my books out into the world. But I’m sure plenty of other independent authors can help you find all sorts of other people able and willing to help. Spines is merely charging you for the privilege of receiving substandard work spat out by a computer.

[colonelrajyavardhanrathore]

AI-Based Future Mantra: Col Rajyavardhan Rathore’s Vision for Innovation & Growth 🤖🚀

In an era where Artificial Intelligence (AI) is reshaping industries, economies, and societies, Col Rajyavardhan Singh Rathore envisions a future-driven, innovation-led India that embraces AI to power growth, governance, and global competitiveness. His AI-based Future Mantra focuses on leveraging AI for digital transformation, job creation, industry modernization, and national security, ensuring India emerges as a leader in the AI revolution.

🌟 Key Pillars of Col Rathore’s AI Vision

1️⃣ AI-Driven Digital India: Transforming Governance & Public Services

✅ AI-powered e-Governance — Enhancing efficiency, transparency & citizen services. ✅ Smart City Development — AI-based urban planning, traffic management & waste control. ✅ Predictive Analytics for Policy Making — Data-driven decision-making for better governance.

“AI is the key to revolutionizing governance and making citizen services more efficient, accessible, and transparent.”

2️⃣ AI for Industry & Economic Growth: Powering Smart Enterprises

✅ AI in Manufacturing & MSMEs — Enhancing productivity & automation. ✅ AI-powered Startups & Innovation Hubs — Supporting entrepreneurs with next-gen AI solutions. ✅ Boosting IT, Fintech & Smart Commerce — Strengthening India’s global digital economy presence.

“AI is not about replacing jobs; it’s about creating new opportunities, industries, and careers.”

3️⃣ AI in Agriculture: Revolutionizing Rural Economy 🌾🤖

✅ Smart Farming with AI — Precision agriculture & automated irrigation. ✅ AI-based Crop Monitoring & Forecasting — Reducing farmer losses & improving productivity. ✅ Digital Marketplaces for Farmers — Connecting rural producers to global markets.

“AI can empower farmers with knowledge, tools, and predictive analytics to revolutionize Indian agriculture.”

4️⃣ AI in Education & Skill Development: Empowering Youth for Future Jobs 🎓💡

✅ AI-driven Personalized Learning — Smart classrooms & adaptive learning systems. ✅ AI Upskilling Programs — Training youth in AI, robotics & machine learning. ✅ AI-Powered Job Market Platforms — Connecting talent with industries using AI analytics.

“The future belongs to those who master AI. We must equip our youth with the skills to lead in the AI economy.”

5️⃣ AI in National Security & Defense: A Smarter, Safer India 🛡️🚀

✅ AI in Cybersecurity — Advanced threat detection & prevention. ✅ AI-powered Surveillance & Defense Tech — Strengthening India’s armed forces. ✅ AI in Disaster Management — Early warning systems & crisis response automation.

“AI is the force multiplier for India’s defense and security strategy in the 21st century.”

🚀 The Road Ahead: Col Rathore’s Action Plan for AI-Driven Growth

🔹 AI Policy & Infrastructure Development — Strengthening India’s AI ecosystem. 🔹 Public-Private Partnerships for AI Innovation — Encouraging global collaborations. 🔹 AI Talent & Research Investments — Making India a global hub for AI development. 🔹 Ethical AI & Responsible Innovation — Ensuring AI benefits all sections of society.

“AI is India’s gateway to a smarter, more efficient, and innovative future. Let’s lead the way!” 🚀

🌍 India’s AI Future: Leading the Global Innovation Wave

✅ AI-powered industries, smart cities, and a digital economy. ✅ Next-gen job creation & future-ready workforce. ✅ Stronger governance, national security, and agriculture. ✅ A global AI leader driving innovation & inclusivity.

🔥 “AI is not just a tool — it’s the future. And India will lead it!” 🤖 Jai Hind! Jai Innovation! 🇮🇳🚀

[ksoftwebdevelopment]

Online Classified Ads: A Classic Example of C2C E-Commerce

The Power of Online Classified Ads in C2C E-Commerce

In today’s digital era, e-commerce has redefined how individuals and businesses interact, creating seamless connections between buyers and sellers. A shining example of this transformation is the rise of C2C (Consumer-to-Consumer) e-commerce, with online classified ads leading the charge. Platforms like Craigslist, OLX, and Facebook Marketplace have revolutionized the traditional marketplace by making transactions faster, more convenient, and globally accessible.

Let’s explore how online classified ads exemplify C2C e-commerce, the technology behind their success, and the significant role they play in shaping the digital economy.

What is C2C E-Commerce?

C2C e-commerce, or consumer-to-consumer electronic commerce, facilitates direct transactions between individual buyers and sellers using third-party platforms. Unlike B2C (Business-to-Consumer) or B2B (Business-to-Business) models, C2C focuses entirely on connecting consumers for transactions without a middleman business.

Online classified ads are the backbone of C2C e-commerce, acting as digital hubs where users list products and services for sale. Other users can then browse, negotiate, and purchase directly from the seller.

Why Online Classified Ads Are Ideal for C2C E-Commerce

1. Direct Consumer Interaction Classified platforms prioritize direct communication between buyers and sellers. This immediate interaction fosters trust and simplifies decision-making, making transactions quicker and more personal.

2. Low or Zero Transaction Costs Most platforms allow users to post ads for free or charge minimal fees. This affordability encourages individuals to sell items and services, creating a thriving marketplace.

3. Diverse Offerings From second-hand furniture and electronics to rental properties and job postings, online classifieds cover a broad spectrum of categories, catering to a wide range of consumer needs.

4. Global and Local Reach Users can choose between targeting local buyers for quick sales or reaching a global audience for niche products, making these platforms highly versatile.

5. User-Friendly Platforms Designed to be simple and intuitive, classified sites are accessible to users of all skill levels, enabling easy posting, browsing, and communication.

The Technology Behind Online Classified Platforms

The success of online classified ads lies in the sophisticated technologies powering these platforms:

Advanced Search Algorithms: These ensure users quickly find relevant listings based on location, category, and price.

Secure Payment Gateways: Many platforms integrate secure payment options to safeguard transactions.

Responsive Web Design: Classified platforms are optimized for mobile devices, ensuring consistent user experiences across screens.

AI-Powered Recommendations: Artificial intelligence offers personalized suggestions based on user preferences and browsing behavior.

SEO and Analytics: Platforms leverage SEO to boost the visibility of listings on search engines and use analytics to understand and enhance user engagement.

Benefits of Online Classified Ads in C2C E-Commerce

1. Empowering Small Sellers Classified ads provide a level playing field for individuals and small businesses to reach buyers without requiring a physical storefront.

2. Promoting Sustainability By encouraging the resale of second-hand goods, these platforms reduce waste and contribute to a circular economy.

3. Faster Transactions With features like instant messaging and real-time notifications, classified platforms streamline communication and accelerate deals.

4. Cost-Effective Marketing Sellers can create impactful ads with photos and detailed descriptions without needing expensive marketing campaigns.

Challenges in C2C E-Commerce via Classified Ads

Despite their advantages, online classifieds face challenges:

Trust Issues: Buyers may worry about product quality, payment security, or fraudulent listings.

Minimal Regulation: Without strict oversight, issues like spam, counterfeit goods, and misleading ads may arise.

High Competition: The abundance of listings can make it hard for sellers to stand out without investing in premium placements.

Logistics: Delivery is often left to buyers and sellers, complicating transactions for bulky or long-distance items.

How Online Classified Ads Drive C2C E-Commerce Growth

Despite these obstacles, classified platforms remain pivotal in the growth of C2C e-commerce for several reasons:

Democratization of Commerce: They empower anyone with internet access to participate in the marketplace.

Innovative Monetization: Features like promoted ads and premium listings offer additional value to users while generating revenue for platforms.

Community Building: By fostering local transactions and encouraging user feedback, classified platforms create engaged communities.

Optimizing Classified Listings with SEO

For sellers, SEO (Search Engine Optimization) is essential to boost visibility on classified platforms. Including relevant keywords like “buy and sell locally,” “best deals online,” or “affordable used goods” can significantly enhance listing performance.

Companies like KSoft Technologies specialize in web development, SEO strategies, and digital marketing, helping classified platforms and individual sellers achieve:

Higher rankings on search engines.

Enhanced user interfaces for better engagement.

Scalable and secure technology solutions.

The Future of Online Classified Ads in C2C E-Commerce

The future of online classifieds is bright, with innovations in AI, blockchain, and logistics solutions promising to address current challenges. These advancements can enhance trust, security, and overall user experiences, ensuring the continued growth of C2C e-commerce.

As technology evolves, businesses offering web development, mobile app development, and SEO services, such as KSoft Technologies, will play a vital role in empowering classified platforms to stay competitive and innovative.

Conclusion

Online classified ads are a cornerstone of C2C e-commerce, creating spaces for direct consumer interaction, affordable transactions, and sustainable commerce. By connecting buyers and sellers without traditional barriers, these platforms exemplify the potential of technology-driven marketplaces.

Whether you're looking to improve your classified platform or enhance your digital presence, KSoft Technologies offers cutting-edge solutions in web development, mobile app creation, and SEO strategies to help you thrive.

Visit KSoft Technologies today and discover how we can help elevate your business in the evolving digital economy! 🚀

[itinfonity]

DeepSeek Breaks The Internet! Triggers Hilarious Meme Fest on Social Media

Chinese technology startup DeepSeek has rapidly risen to fame on social media. By surpassing ChatGPT on the Apple App Store and making waves in the US stock market, DeepSeek has captured international attention. Social media has become a platform for discussions, featuring everything from humorous memes about the startup's rapid ascent to intense debates regarding its impact on the future of artificial intelligence. As the model's popularity increases, its effect continues to encourage creativity and dialogue, establishing it as a global sensation in both technology sectors and popular culture.

The future of artificial intelligence may not be dominated by the entities with the greatest resources, but rather by those who can innovate most effectively.

What do you think about this disruption? Could it change our perspective on AI development?

[mariacallous]

The “True Sensation” dildo is a fleshy, silicone tool that measures exactly 7 inches and has the ability to vibrate (three different frequencies), thrust (seven different speeds), and self-heat (up to 105 degrees Fahrenheit). It’s just like the real thing, James Guo, the founder of Our Erotic Journey, assures me from his office in Irvine, California. Best of all—everything is controlled through the app AMZ.

“It connects to someone that’s oceans away,” he says of its potential for creating all kinds of sexual fantasies. Teasingly, he adds: “There’s also music that can match the intensity of the vibration.”

True Sensation is just one offering featured among the wide inventory of Our Erotic Journey, the sex toy brand Guo launched in 2019. Its online store, which boasts more than 200 products, is a pleasure chest of sexual self-amusement. Take your pick: There’s the lipstick-shaped vibrator, a remote-controlled rotating butt plug, various cock rings, something called the “Gravity Rocket” (a clitoral suction vibrator with seven massage modes), and a smattering of glow-in-the-dark accessories. “Those are for the ravers,” Guo jokes.

The sex tech market is estimated to triple by 2030, exceeding $100 billion globally in sales. The demand for products, from AI-assisted companions and personal wand massagers to sexual wellness apps, sits at an all-time high. At a moment when industry trends favor artificial intelligence and remote sex exploration, Guo just wants to make eccentric, high-quality vibrators. He’s betting big on toys.

In the years since launch, Guo has built Our Erotic Journey into a quietly influential brand through intentionally whimsical designs and an insistence on quality products. “I know production,” Guo says. His family, he tells me, owns an auto-parts factory in China, and what he learned from the business—how the factory system runs, the science of machines, what style of packaging attracts customers—he leveraged for OEJ.

Guo admits that the initial product line—about 20 toys, of which the Sec Duo vibrator for couples remains a company best-seller—was devised to “fit the market.” “We self developed the first batch through modding, R&D, scaling, all that stuff,” he says. “Everything since that represents more of who we are.”

That’s how OEJ’s six themed collections came to be. The Cristal collection is for glass toys while the Space, Thrillz, and Lit collections are for truly uninhibited pleasure seekers (one features a dildo called “The Girthquake,” that exploits a specific, if sometimes worn out, racial fantasy).

But where Guo, who is 35, sometimes falls short in imagination, he more than makes up for in vigilance. “Users expect and deserve products that meet stringent safety standards, and any deviation can damage a brand’s reputation irrevocably,” he posted in an XBIZ editorial in September. “Partner with trusted white-label manufacturers rather than gamble on the unknowns.”

When I ask Guo about the editorial, he stresses that the success of sex tech is determined as much by the innovation involved in the products as the quality. “We want to be more of a bridge from human to human,” Guo says, “not just from toy to human.”

Even with promising market projections—another estimate goes so far as to predict sales could surpass $121 billion by 2030—industry analysts are not convinced that the future of sex tech is in toys.

It’s a “very oversaturated market that is now avoided by many,” says Olena Petrosyuk, a partner at the consulting firm Waveup. This year, she adds, investors “are looking away from ‘commoditized’ trends”—sex toys, but also sex content and social platforms. “Many failed to prove the economics and scale. The category is still fairly stigmatized,” she says. “OnlyFans being a massive exception.”

So what do consumers want? Petrosyuk says wellness, AI, and immersive realities are hot right now. “Practically every new sex tech startup is thinking in terms of AI use cases,” she says. “If it’s AI toys—companies are looking into how they can anticipate and respond to the user’s needs. If it’s robotics—we see companies looking into sex bots. If it’s content—it’s hyperpersonalized sex personas.”

Guo tells me he is not phased by talk of AI sex robots—“a low-volume business,” in his estimation—because many people cannot afford the high price tag. Continued success, he believes, is will come by expanding on the company’s themed collections. OEJ works directly with US and Canadian distributors; it is not a direct-to-consumer business, though he says customers do occasionally order via the online store.

Although ecommerce is the industry standard in retail and electronics, taking more of an old-school approach works for Guo. Next year, OEJ plans to launch a Zodiac collection, crafting 12 unique toys for each astrological sign. It’s an appeal to the Co–Star fanatics of Gen Z. “Every generation is different,” he says.

The company’s mostly nonexistent social media presence only seems to add to their Wonka-like mystery. “We’re just bad at it,” Jerry Chen, an operations assistant, says. “We’re really focused on production.”

For now, that business model seems to be a hit. Our Erotic Journey recently won the “Best Pleasure Product Manufacturer—Small” prize at the 2023–2024 AVN Awards in Las Vegas, a litmus test for newbie brands in the adult content world. OEJ also received the O Award for Outstanding New Product for “Sexy Pot,” Guo’s marijuana-leaf-shaped vibrator, a customer favorite.

Clearly wanting to capitalize on its unexpected success, Guo says, “It’s time we gave it a sister or brother.”

[rise2research]

The Biggest Hurdles in Market Research Today

The market research industry has been undergoing significant changes, driven by technological advancements, shifting consumer behaviors, and the increasing demand for real-time insights. Below are the key challenges transforming this dynamic industry:

1. Data Overload and Management

With the proliferation of digital platforms, organizations have access to vast amounts of data. While this presents opportunities, managing and making sense of this data remains a major challenge.

2. Evolving Consumer Behavior

Consumer preferences are changing rapidly due to societal, economic, and technological factors.

3. Integration of Advanced Technologies

The adoption of artificial intelligence (AI), machine learning (ML), and big data analytics has revolutionized market research.

4. Data Privacy and Ethical Concerns

Stringent data privacy regulations, such as GDPR and CCPA, have introduced complexities in data collection and usage.

5. Declining Response Rates

As consumers become increasingly wary of surveys and data collection methods, response rates have dropped.

6. Demand for Real-Time Insights

Businesses now require faster and more actionable insights to stay competitive.

7. Globalization and Cultural Nuances

Conducting market research across diverse geographies and cultures introduces complexities in interpreting data.

8. Budget Constraints and ROI Pressures

Clients increasingly demand more insights at lower costs, challenging research firms to demonstrate the ROI of their services while managing operational expenses.

9. Adapting to Hybrid Research Models

The industry is shifting towards hybrid research methods that combine qualitative and quantitative techniques, as well as traditional and digital tools.

Conclusion

The challenges transforming the market research industry are reshaping its landscape. Companies that proactively address these hurdles through innovation, adaptability, and ethical practices will be better positioned to thrive in this evolving market. Staying ahead of these changes is not just an option—it's a necessity for sustained success.

To know more: data analytics services company

healthcare market research services

[thinkleaptechnology]

The Need for Digitization in Manufacturing : Stay Competitive With Low-Code

Industry 4.0 is transforming manufacturing with smart factories, automation, and digital integration. Technologies like the Internet of Things (IoT), artificial intelligence (AI), and low-code applications are enabling manufacturers to streamline processes and develop customized solutions quickly. Low-code platforms empower manufacturers to adapt to global demands, driving efficiency and innovation. 

Previously, cross-border transactions in manufacturing faced delays due to bureaucracy, complex payment mechanisms, and inconsistent regulations. These challenges led to inefficiency and increased costs. However, Industry 4.0 technologies, such as digital payments, smart contracts, and logistics tracking, have simplified international transactions, improving procurement processes. 

Low-code applications are key in this transformation, enabling rapid development of secure solutions for payments, customs clearance, and regulatory compliance. These platforms reduce complexity, enhance transparency, and ensure cost-effective, secure global supply chains. This shift aligns with the demands of a connected global economy, enhancing productivity and competitiveness. 

The Need for Digitization in Manufacturing 

Digitization has become crucial for manufacturing to stay competitive, with new technologies and the need for automation driving the sector’s transformation. Key features include ERP systems for centralized management of inventory, finances, and operations; digital supply chain tools for visibility and disruption prediction; real-time data for performance monitoring; sustainability tracking; and IoT/RFID for better tracking, accuracy, and reduced waste. 

Low-code applications play a pivotal role in digitization by enabling rapid development of tailored solutions for inventory management, supply chain optimization, and performance analytics. These platforms streamline processes, reduce manual work, and enhance agility, helping manufacturers implement digital transformations quickly and cost-effectively. 

Upgrading Manufacturing Capabilities in the Era of Industry 4.0 with Low-code Solutions 

Low-code applications are becoming essential for digital transformation in manufacturing, addressing operational challenges while managing increased production demands and a shortage of skilled staff. These platforms enable manufacturers to quickly develop tailored applications without needing specialized coding expertise, fostering faster, more flexible operations. By streamlining processes and aligning with modern consumer demands, low-code technology helps bridge the skills gap, empowering manufacturers to stay competitive and seize new opportunities in a rapidly evolving market. 

Low-code Technology Benefits for Modern Industries 

As digital transformation becomes increasingly crucial for manufacturing, many enterprises in the sector face challenges with outdated processes, legacy system limitations, customization challenges, and inadequate resources. Low-code applications offer a compelling solution, enabling manufacturers to streamline operations by eliminating paper-based processes and automating workflows across functions such as Production, Sales, Logistics, Finance, Procurement, Quality Assurance, Human Resources, Supply Chain, and IT Operations. Additionally, low-code platforms enhance compliance and safety standards through built-in automated tools. 

These platforms deliver impressive results, including over 70% improvement in productivity and close to 95% improvement in output quality in specific scenarios. This is particularly evident in automating complex processes like order fulfillment—from receiving customer orders to delivering finished products and managing invoicing with customers. Use cases also include automating inventory management, enhancing predictive maintenance with real-time data, and optimizing supply chain operations. Low-code solutions make it easier for manufacturers to implement changes quickly, boosting agility and reducing time-to-market while improving overall operational efficiency. 

Conclusion 

Low-code platforms are driving digital transformation in manufacturing, addressing sector-specific challenges in industries like automotive, aviation, and oil & gas. With Industry 4.0 and smart manufacturing, iLeap’s low-code platform helps integrate IoT, advanced analytics, and end-to-end automation, leading to optimized workflows and real-time decision-making. By adopting agile development, manufacturers can quickly adapt to new technologies and market demands, making iLeap the ideal partner for digital transformation. Unlock the potential of Industry 4.0 with iLeap and turn challenges into growth opportunities.