#New AI Tools for Retailers

[thebloggerinfo]

Go ahead and try one of the AI tools Google Cloud has introduced. Your eCommerce business can reach the next level of growth with these artificially intelligent innovations.

[bliow]

AGARTHA Aİ - DEVASA+ (4)

In an era where technology and creativity intertwine, AI design is revolutionizing the way we conceptualize and create across various industries. From the runway to retail, 3D fashion design is pushing boundaries, enabling designers to craft intricate garments with unparalleled precision. Likewise, 3D product design is transforming everything from gadgets to furniture, allowing for rapid prototyping and innovation. As we explore these exciting advancements, platforms like Agartha.ai are leading the charge in harnessing artificial intelligence to streamline the design process and inspire new ideas. 

AI design

Artificial intelligence (AI) has revolutionized numerous industries, and the realm of design is no exception. By leveraging the power of machine learning and advanced algorithms, AI is transforming the way designers create, innovate, and deliver their products. AI-driven tools enable designers to harness vast amounts of data, allowing for more informed decision-making and streamlined workflows.

In the context of graphic design, AI can assist artists in generating ideas, creating unique visuals, and even automating repetitive tasks. For instance, programs powered by AI design can analyze trends and consumer preferences, producing designs that resonate with target audiences more effectively than traditional methods. This shift not only enhances creativity but also enables designers to focus on strategic thinking and ideation.

Moreover, AI is facilitating personalized design experiences. With the help of algorithms that analyze user behavior, products can be tailored to meet the specific needs and tastes of individuals. This level of customization fosters deeper connections between brands and consumers, ultimately driving customer satisfaction and loyalty in an increasingly competitive market.

3D fashion design

In recent years, 3D fashion design has revolutionized the way we create and visualize clothing. Using advanced software and tools, designers can create lifelike virtual garments that allow for innovative experimentation without the need for physical fabric. This trend has not only streamlined the design process but has also significantly reduced waste in the fashion industry.

Moreover, 3D fashion design enables designers to showcase their creations in a more interactive manner. By utilizing 3D modeling and rendering technologies, designers can present their collections in virtual environments, making it easier for clients and consumers to appreciate the nuances of each piece. This immersive experience also helps in gathering valuable feedback before producing the final product.

Furthermore, the integration of 3D fashion design with augmented reality (AR) and virtual reality (VR) technologies is bringing a fresh perspective to the industry. Consumers can virtually try on clothes from the comfort of their homes, thereby enhancing the shopping experience. As this field continues to evolve, it promises to bridge the gap between creativity and technology, paving the way for a sustainable and forward-thinking fashion future.

3D product design

3D product design has revolutionized the way we conceptualize and create products. With advanced software tools and technologies, designers can now create highly detailed and realistic prototypes that are not only visually appealing but also functional. This process allows for a quicker iteration of ideas, enabling designers to experiment with various styles and functionalities before arriving at the final design.

One of the significant advantages of 3D product design is the ability to visualize products in a virtual environment. Designers can see how their creations would look in real life, which is essential for understanding aesthetics and usability. Additionally, this technology enables manufacturers to identify potential issues in the design phase, reducing costs associated with prototype development and rework.

Moreover, the rise of 3D printing has further enhanced the significance of 3D product design. Designers can swiftly turn their digital models into tangible products, allowing for rapid prototyping and small-batch manufacturing. This agility not only speeds up the time-to-market for new products but also paves the way for more innovative designs that were previously impossible to execute.

Agartha.ai

Agartha.ai is a revolutionary platform that merges artificial intelligence with innovative design, creating a new avenue for designers and creators alike. With the rapid advancements in technology, Agartha.ai leverages AI to streamline various design processes, enabling users to produce unique and captivating designs with ease.

The platform provides tools that empower both emerging and established designers to explore the possibilities of AI design. By utilizing intelligent algorithms, Agartha.ai can assist in generating design options, ensuring that creativity is not hindered but enhanced. This results in a more efficient workflow and allows designers to focus on the conceptual aspects of their projects.

One of the standout features of Agartha.ai is its ability to adapt to different design disciplines, such as 3D fashion design and 3D product design. By supporting a broad spectrum of design fields, it positions itself as a versatile tool that meets the evolving needs of today's creative professionals. Whether it's crafting intricate fashion pieces or developing innovative product designs, Agartha.ai is at the forefront of the design revolution.

[askagamedev]

Do you have any insight as to why annual sports titles have not gone the Live Service model yet given the fact each year it is mostly minor tweaks and roster changes anyway?

I've actually worked on and shipped more than one annual sports title over my career and I want say for the record that the idea that annual sports titles are "mostly minor tweaks and roster changes" is absolutely and categorically false. Annual sports titles absolutely do not have the same scope as AAA games with multi-year dev cycles, but they do absolutely have significant breadth and depth of scope each year beyond "minor tweaks and roster changes".

The majority changes that occur each year are spread out because they must be - there simply isn't enough development time within the ~11ish calendar months between launches to rebuild everything, so decisions must be made about what gets added/updated this year and what waits for next year. That means that, besides roster updates and minor tweaks, this year we're committing to change our animation system, these eight specific stadiums/arenas, these three game modes, update the commentary system, and rework the stat simulation. Next year, we're committing to these other eight stadiums/arenas, these other four game modes, the physics system, the VFX system, and the AI logic. This sort of round-robin approach is necessary - the dev team often isn't large enough to sustain working on everything each cycle so we need to pick and choose what we can do each year within the time we have. It also means that players who only engage with some of the game likely don't necessarily see (or notice) all of the changes we make each time around. This doesn't mean that we didn't do it or that the changes aren't there, but it can certainly look like not much has changed if the player isn't playing those parts of the game.

To your main question - The primary reason that annual sports games haven't transitioned to a live service model is because of inertia. There is a well-established and financially sustainable annual sales model that works. There would need to be a significant and tangible gain to be had by switching to a live service model other than novelty - all of the current existing tools and systems are built with the expectation of delivering a new retail game each year, and all of the dev experience built up is for delivering a new retail game each year. Switching over to an ongoing service would come at tremendous cost. There must be a gain to outweigh that cost in order for the publishers to do it.

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[punk-pins]

fundamentally you need to understand that the internet-scraping text generative AI (like ChatGPT) is not the point of the AI tech boom. the only way people are making money off that is through making nonsense articles that have great search engine optimization. essentially they make a webpage that’s worded perfectly to show up as the top result on google, which generates clicks, which generates ads. text generative ai is basically a machine that creates a host page for ad space right now.

and yeah, that sucks. but I don’t think the commercialized internet is ever going away, so here we are. tbh, I think finding information on the internet, in books, or through anything is a skill that requires critical thinking and cross checking your sources. people printed bullshit in books before the internet was ever invented. misinformation is never going away. I don’t think text generative AI is going to really change the landscape that much on misinformation because people are becoming educated about it. the text generative AI isn’t a genius supercomputer, but rather a time-saving tool to get a head start on identifying key points of information to further research.

anyway. the point of the AI tech boom is leveraging big data to improve customer relationship management (CRM) to streamline manufacturing. businesses collect a ridiculous amount of data from your internet browsing and purchases, but much of that data is stored in different places with different access points. where you make money with AI isn’t in the Wild West internet, it’s in a structured environment where you know the data its scraping is accurate. companies like nvidia are getting huge because along with the new computer chips, they sell a customizable ecosystem along with it.

so let’s say you spent 10 minutes browsing a clothing retailer’s website. you navigated directly to the clothing > pants tab and filtered for black pants only. you added one pair of pants to your cart, and then spent your last minute or two browsing some shirts. you check out with just the pants, spending $40. you select standard shipping.

with AI for CRM, that company can SIGNIFICANTLY more easily analyze information about that sale. maybe the website developers see the time you spent on the site, but only the warehouse knows your shipping preferences, and sales audit knows the amount you spent, but they can’t see what color pants you bought. whereas a person would have to connect a HUGE amount of data to compile EVERY customer’s preferences across all of these things, AI can do it easily.

this allows the company to make better broad decisions, like what clothing lines to renew, in which colors, and in what quantities. but it ALSO allows them to better customize their advertising directly to you. through your browsing, they can use AI to fill a pre-made template with products you specifically may be interested in, and email it directly to you. the money is in cutting waste through better manufacturing decisions, CRM on an individual and large advertising scale, and reducing the need for human labor to collect all this information manually.

(also, AI is great for developing new computer code. where a developer would have to trawl for hours on GitHUB to find some sample code to mess with to try to solve a problem, the AI can spit out 10 possible solutions to play around with. thats big, but not the point right now.)

so I think it’s concerning how many people are sooo focused on ChatGPT as the face of AI when it’s the least profitable thing out there rn. there is money in the CRM and the manufacturing and reduced labor. corporations WILL develop the technology for those profits. frankly I think the bigger concern is how AI will affect big data in a government ecosystem. internet surveillance is real in the sense that everything you do on the internet is stored in little bits of information across a million different places. AI will significantly impact the government’s ability to scrape and compile information across the internet without having to slog through mountains of junk data.

[mapsontheweb]

Hi Maps on the Web team, 

In today’s internet age, everyone’s a critic. 

Received top-notch customer service with a luxury retailer? Post an Instagram story. Had a bad experience with an Uber ride? Tweet about it. 

So what are the most loved and hated brands across the world?

In a new study, Merchant Machine determined how every country feels about its local brands. The team used an AI sentiment analysis tool to evaluate Tweets containing brand names and measured the levels of positivity and negativity: https://merchantmachine.co.uk/loved-and-hated-brands/ 

Take a look at the most loved and hated brands across in every country:

Some key findings from the study include:

Burberry is the UK’s most loved brand, and Shell is its most hated.

Tiffany & Co. is the most loved brand in the U.S.

Fox has an 88% negativity rating in the U.S., making it the most hated brand in the world.

Jewellery brand Mouawad has a 98% positivity rating in the United Arab Emirates, making it the most loved local brand in the world.

You can also see which brands made the top 10 list in the U.S. and UK. 

Do you think your readers will find this interesting?

If the answer is yes, you can find the press kit, with more information on the study and images in HD here: https://www.dropbox.com/t/q1apxrEsOcxrNzSp 

Best, 

[cindylouwho-2]

RECENT SEO & MARKETING NEWS FOR ECOMMERCE, AUGUST 2024

Hello, and welcome to my very last Marketing News update here on Tumblr.

After today, these reports will now be found at least twice a week on my Patreon, available to all paid members. See more about this change here on my website blog: https://www.cindylouwho2.com/blog/2024/8/12/a-new-way-to-get-ecommerce-news-and-help-welcome-to-my-patreon-page

Don't worry! I will still be posting some short pieces here on Tumblr (as well as some free pieces on my Patreon, plus longer posts on my website blog). However, the news updates and some other posts will be moving to Patreon permanently.

Please follow me there! https://www.patreon.com/CindyLouWho2

TOP NEWS & ARTICLES 

A US court ruled that Google is a monopoly, and has broken antitrust laws. This decision will be appealed, but in the meantime, could affect similar cases against large tech giants. 

Did you violate a Facebook policy? Meta is now offering a “training course” in lieu of having the page’s reach limited for Professional Mode users. 

Google Ads shown in Canada will have a 2.5% surcharge applied as of October 1, due to new Canadian tax laws.

SEO: GOOGLE & OTHER SEARCH ENGINES 

Search Engine Roundtable’s Google report for July is out; we’re still waiting for the next core update. 

SOCIAL MEDIA - All Aspects, By Site

Facebook (includes relevant general news from Meta)

Meta’s latest legal development: a $1.4 billion settlement with Texas over facial recognition and privacy.  

Instagram

Instagram is highlighting “Views” in its metrics in an attempt to get creators to focus on reach instead of follower numbers. 

Pinterest

Pinterest is testing outside ads on the site. The ad auction system would include revenue sharing. 

Reddit

Reddit confirmed that anyone who wants to use Reddit posts for AI training and other data collection will need to pay for them, just as Google and OpenAI did. 

Second quarter 2024 was great for Reddit, with revenue growth of 54%. Like almost every other platform, they are planning on using AI in their search results, perhaps to summarize content. 

Threads

Threads now claims over 200 million active users.

TikTok

TikTok is now adding group chats, which can include up to 32 people.

TikTok is being sued by the US Federal Trade Commission, for allowing children under 13 to sign up and have their data harvested. 

Twitter

Twitter seems to be working on the payments option Musk promised last year. Tweets by users in the EU will at least temporarily be pulled from the AI-training for “Grok”, in line with EU law.

CONTENT MARKETING (includes blogging, emails, and strategies) 

Email software Mad Mimi is shutting down as of August 30. Owner GoDaddy is hoping to move users to its GoDaddy Digital Marketing setup. 

Content ideas for September include National Dog Week. 

You can now post on Substack without having an actual newsletter, as the platform tries to become more like a social media site. 

As of November, Patreon memberships started in the iOS app will be subject to a 30% surcharge from Apple. Patreon is giving creators the ability to add that charge to the member's bill, or pay it themselves.

ONLINE ADVERTISING (EXCEPT INDIVIDUAL SOCIAL MEDIA AND ECOMMERCE SITES) 

Google worked with Meta to break the search engine’s rules on advertising to children through a loophole that showed ads for Instagram to YouTube viewers in the 13-17 year old demographic. Google says they have stopped the campaign, and that “We prohibit ads being personalized to people under-18, period”.

Google’s Performance Max ads now have new tools, including some with AI. 

Microsoft’s search and news advertising revenue was up 19% in the second quarter, a very good result for them. 

One of the interesting tidbits from the recent Google antitrust decision is that Amazon sells more advertising than either Google or Meta’s slice of retail ads. 

BUSINESS & CONSUMER TRENDS, STATS & REPORTS; SOCIOLOGY & PSYCHOLOGY, CUSTOMER SERVICE 

More than half of Gen Z claim to have bought items while spending time on social media in the past half year, higher than other generations. 

Shopify’s president claimed that Christmas shopping started in July on their millions of sites, with holiday decor and ornament sales doubling, and advent calendar sales going up a whopping 4,463%.

[nextgenaireviews]

Revolutionize Your Business Operations with Omodore: The Ultimate AI Assistant for Efficiency

Tired of inefficient processes dragging your business down? Omodore, the advanced AI Assistant, is here to transform your operations. This powerful tool leverages cutting-edge AI technology to optimize your customer interactions, streamline sales processes, and enhance overall efficiency.

Omodore is not just another AI tool; it’s a game-changer for businesses aiming to stay ahead in a competitive landscape. Its innovative features allow for seamless automation of routine tasks, freeing up valuable time for your team to focus on strategic goals. With Omodore, you can expect more streamlined customer service, enhanced data management, and an overall boost in productivity.

One of the standout aspects of Omodore is its intuitive setup. In just a few steps, you can create an AI agent tailored to your business needs. This agent is capable of handling live calls, managing complex queries, and accessing a comprehensive knowledge base to deliver accurate responses. The result? A more responsive and efficient customer service operation.

Beyond customer service, Omodore excels in sales automation and data analysis. By automating repetitive sales tasks and providing actionable insights, it helps businesses refine their strategies and drive growth. This means you can expect not only operational efficiency but also increased revenue opportunities.

What sets Omodore apart is its ability to adapt to various business environments. Whether you’re in retail, finance, or any other industry, Omodore integrates seamlessly with your existing systems, providing customized support that meets your specific needs.

Don’t let outdated processes hold your business back. Embrace the future with Omodore and experience a new level of efficiency and effectiveness. Discover how this cutting-edge AI Assistant can revolutionize your operations by visiting Omodore today.

[hypocrite-human]

AI & IT'S IMPACT

Unleashing the Power: The Impact of AI Across Industries and Future Frontiers

Artificial Intelligence (AI), once confined to the realm of science fiction, has rapidly become a transformative force across diverse industries. Its influence is reshaping the landscape of how businesses operate, innovate, and interact with their stakeholders. As we navigate the current impact of AI and peer into the future, it's evident that the capabilities of this technology are poised to reach unprecedented heights.

1. Healthcare:

In the healthcare sector, AI is a game-changer, revolutionizing diagnostics, treatment plans, and patient care. Machine learning algorithms analyze vast datasets to identify patterns, aiding in early disease detection. AI-driven robotic surgery is enhancing precision, reducing recovery times, and minimizing risks. Personalized medicine, powered by AI, tailors treatments based on an individual's genetic makeup, optimizing therapeutic outcomes.

2. Finance:

AI is reshaping the financial industry by enhancing efficiency, risk management, and customer experiences. Algorithms analyze market trends, enabling quicker and more accurate investment decisions. Chatbots and virtual assistants powered by AI streamline customer interactions, providing real-time assistance. Fraud detection algorithms work tirelessly to identify suspicious activities, bolstering security measures in online transactions.

3. Manufacturing:

In manufacturing, AI is optimizing production processes through predictive maintenance and quality control. Smart factories leverage AI to monitor equipment health, reducing downtime by predicting potential failures. Robots and autonomous systems, guided by AI, enhance precision and efficiency in tasks ranging from assembly lines to logistics. This not only increases productivity but also contributes to safer working environments.

4. Education:

AI is reshaping the educational landscape by personalizing learning experiences. Adaptive learning platforms use AI algorithms to tailor educational content to individual student needs, fostering better comprehension and engagement. AI-driven tools also assist educators in grading, administrative tasks, and provide insights into student performance, allowing for more effective teaching strategies.

5. Retail:

In the retail sector, AI is transforming customer experiences through personalized recommendations and efficient supply chain management. Recommendation engines analyze customer preferences, providing targeted product suggestions. AI-powered chatbots handle customer queries, offering real-time assistance. Inventory management is optimized through predictive analytics, reducing waste and ensuring products are readily available.

6. Future Frontiers:

A. Autonomous Vehicles: The future of transportation lies in AI-driven autonomous vehicles. From self-driving cars to automated drones, AI algorithms navigate and respond to dynamic environments, ensuring safer and more efficient transportation. This technology holds the promise of reducing accidents, alleviating traffic congestion, and redefining mobility.

B. Quantum Computing: As AI algorithms become more complex, the need for advanced computing capabilities grows. Quantucm omputing, with its ability to process vast amounts of data at unprecedented speeds, holds the potential to revolutionize AI. This synergy could unlock new possibilities in solving complex problems, ranging from drug discovery to climate modeling.

C. AI in Creativity: AI is not limited to data-driven tasks; it's also making inroads into the realm of creativity. AI-generated art, music, and content are gaining recognition. Future developments may see AI collaborating with human creators, pushing the boundaries of what is possible in fields traditionally associated with human ingenuity.

In conclusion, the impact of AI across industries is profound and multifaceted. From enhancing efficiency and precision to revolutionizing how we approach complex challenges, AI is at the forefront of innovation. The future capabilities of AI hold the promise of even greater advancements, ushering in an era where the boundaries of what is achievable continue to expand. As businesses and industries continue to embrace and adapt to these transformative technologies, the synergy between human intelligence and artificial intelligence will undoubtedly shape a future defined by unprecedented possibilities.

[mehedihasan96]

🚀 Big News for Microsoft Office Users! 🚀

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[rise2research]

Future-Proofing Industry Insights: AI as the Key to Market Evolution

One tool that is becoming essential for this is Artificial Intelligence (AI). By integrating AI into market analysis, businesses are transforming how they understand their industries and plan for the future. But how does AI help with this, and why is it such a game-changer?

What is AI in Market Insights?

Artificial Intelligence refers to computer systems designed to mimic human intelligence. In market analysis, AI can analyze large sets of data much faster and more accurately than any human ever could. It helps businesses uncover patterns, predict future trends, and make informed decisions based on real-time data.

Instead of relying on gut feelings or traditional methods, AI can process huge amounts of information from various sources—everything from social media posts to financial reports. This makes it easier to understand customer behavior, identify new opportunities, and respond to changes in the market.

The Benefits of AI in Market Evolution

Faster Decision Making: Traditional market analysis can take weeks or even months. With AI, businesses can receive insights in real-time. For example, if a new competitor enters the market, AI can quickly analyze their impact and suggest strategies to stay competitive.

Better Accuracy: Humans are prone to errors, but AI can process data with incredible precision. It reduces the chances of missing important trends or making decisions based on inaccurate information. This level of accuracy ensures businesses make the right moves at the right time.

Predictive Power: One of AI's most powerful features is its ability to predict future trends. Using historical data, AI can forecast market shifts, customer behavior changes, or even potential economic downturns. This predictive capability allows companies to plan ahead, mitigate risks, and take advantage of emerging opportunities.

Personalized Insights: Every business is unique, and AI can deliver insights tailored to specific industries or company needs. For example, a fashion retailer might use AI to track seasonal trends, while a tech company could use it to monitor the latest innovations. AI helps businesses focus on what matters most to them.

Improved Efficiency: AI can automate routine tasks like data collection and reporting. This frees up time for employees to focus on more strategic work, such as creative problem-solving or developing new products. By enhancing efficiency, AI allows businesses to do more with less effort.

How AI is Changing Market Analysis

The impact of AI on market analysis is revolutionary. In the past, businesses relied heavily on historical data and general trends to make decisions. Today, AI provides a much deeper understanding of the market.

For instance, AI can analyze customer reviews, social media conversations, and online searches to give businesses real-time feedback on how their products are perceived. This allows companies to quickly adjust their marketing strategies or make product improvements.

In addition, AI is helping businesses identify new markets and customer segments. By analyzing global data, AI can pinpoint areas with growing demand or untapped opportunities. This gives companies a head start in entering new markets or developing products for emerging customer needs.

The Future of Market Insights with AI

As AI technology continues to evolve, its role in market analysis will only grow. Businesses that invest in AI now will be better positioned to adapt to future changes in their industries.

The future will likely see even more advanced AI systems capable of understanding complex market dynamics and providing insights that were previously unimaginable. For example, AI could help predict consumer behavior changes before they happen or identify entirely new business models.

Conclusion

In an increasingly competitive global marketplace, businesses must find ways to stay ahead. AI is proving to be a vital tool in this quest. By offering faster, more accurate, and personalized insights, AI is helping companies not only survive but thrive in evolving markets.

The key to future-proofing industry insights lies in AI's ability to transform raw data into actionable strategies. As this technology continues to develop, its impact on market evolution will only become more profound. Embracing AI today means being ready for tomorrow’s challenges—and opportunities.

Also read: b2b market research services

healthcare market research services

[skyboxeye]

Capturing the ambience of Gears of War (2006)

The original Gears maps have stylized yet beautiful look that still holds up today. This guide will look at the abandonware 2007 Windows release, and the 2006 Xbox 360 original, rather than the remastered Ultimate Edition.

Obtaining the game

If you’re only concerned with capturing the multiplayer maps, you can download the standalone AI Bot version of Gears (it’s also great fun!). For vanilla versions of the game, check out pinned messages in the Gears PC Community discord. Refer to PCGamingWiki for troubleshooting on getting the game running.

Extracting sounds

Use umodel to extract UPKs in Gears’s Sounds directory e.g. G:\Microsoft Games\Gears of War\WarGame\CookedPC\Sounds.

Enabling console commands

Inside your WarInput.ini file:

[Engine.Console] ConsoleKey=Tilde TypeKey=Tilde MaxScrollbackSize=1024 HistoryBot=-1 bEnableUI=True

This will enable the console, with history and output display included.

Capturing footage

Open your console, and use TOGGLEUI command to hide the HUD. ghost and walk will toggle between free camera mode and normal player control, respectively. 

You can also load into a given map with open or servertravel, e.g. open <map name e.g. mp_process>.

I found on some versions of the game, this loaded with player-character control, while others loaded into a free-camera mode. I believe this has something to do with Debug vs Retail versions of the game.

It's trivially possible to activate spectator mode inside the editor (see below) by holding Ctrl and pressing the playtest button. However I found this only offered a window display, and there were rendering artifacts on some maps.

Identifying sounds

By passing certain launch options, we can open the game’s editor to inspect how sounds are configured on each map. Example shortcut:

"G:\Microsoft Games\Gears of War\Binaries\Startup (No-Cd).exe" editor -cookededitor -installed

To find each map's random ambient audio events, open the Kismet panel:

Click Level tab in main browser window2. K -> button on the level box

These random sounds emit from a set of target objects on the map, using the options visible in the event’s panel (e.g. below, volume of 0.25 and pitch of 1.0).

We can also use the LISTSOUNDS and LISTWAVES console commands during gameplay to see which sounds are loaded and currently playing respectively. The latter also shows the sound’s current playback volume.

Always take care to note each sound’s configured pitch in the Editor, as it can vary! Indeed, you’ll find that Gears’s maps create their immersive soundscapes by permuting the position and pitch of only a small number of assets.

New Hope project

This is an ambitious mod for Gears 1 which may make the above easier.

Xbox 360 version

The Windows version's presentation differs slightly from this original. Access free camera mode by using Heebo's tools. If you can't get these working, be sure you are running the required version of Xenia Canary. Also enable all Extra Custom Types, and enable MEM_MAPPED in Scan Settings.

Putting it all together

Combine your static positional sounds, randomized Kismet sounds, and captured footage using an editor like Shotcut.

[busstalks]

Best 10 Business Strategies for year 2024

In 2024 and beyond, businesses will have to change with the times and adjust their approach based on new and existing market realities. The following are the best 10 business approach that will help companies to prosper in coming year

1. Embrace Sustainability

The days when sustainability was discretionary are long gone. Businesses need to incorporate environmental, social and governance (ESG) values into their business practices. In the same vein, brands can improve brand identity and appeal to environmental advocates by using renewable forms of energy or minimizing their carbon footprints.

Example: a fashion brand can rethink the materials to use organic cotton and recycled for their clothing lines. They can also run a take-back scheme, allowing customers to return old clothes for recycling (not only reducing waste but creating and supporting the circular economy).

2. Leverage AI

AI is revolutionizing business operations. Using AI-fuelled solutions means that you can automate processes, bring in positive customer experiences, and get insights. AI chatbots: AI can be utilized in the form of a conversational entity to support and perform backend operations, as well.

With a bit more specificity, say for example that an AI-powered recommendation engine recommends products to customers based on their browsing history and purchase patterns (as the use case of retail). This helps to increase the sales and improve the shopping experience.

3. Prioritize Cybersecurity

Cybersecurity is of utmost important as more and more business transitions towards digital platforms. Businesses need to part with a more substantial amount of money on advanced protective measures so that they can keep sensitive data private and continue earning consumer trust. Regular security audits and training of employees can reduce these risks.

Example: A financial services firm may implement multi-factor authentication (MFA) for all online transactions, regularly control access to Internet-facing administrative interfaces and service ports as well as the encryption protocols to secure client data from cyberattacks.

4. Optimizing Remote and Hybrid Working Models

Remote / hybrid is the new normal Remote teams force companies to implement effective motivation and management strategies. Collaboration tools and a balanced virtual culture can improve productivity and employee satisfaction.

- Illustration: a Tech company using Asana / Trello etc. for pm to keep remote teams from falling out of balance. They can also organise weekly team-building activities to keep a strong team spirit.

5. Focus on Customer Experience

Retention and growth of the sales follow-through can be tied to high quality customer experiences. Harness data analytics to deepen customer insights and personalize product offers making your marketing campaigns personal: a customer support that is responsive enough can drive a great level of returning customers.

Example – For any e-commerce business, you can take user experience feedback tools to know about how your customers are getting along and make necessary changes. Custom email campaigns and loyalty programs can also be positively associated with customer satisfaction and retention.

6. Digitalization Investment

It is only the beginning of digital transformation which we all know, is key to global competitiveness. For streamlining, companies have to adopt the use advanced technologies such as Blockchain Technology and Internet of Things (IoT) in conjunction with cloud computing.

IoT example : real-time tracking and analytics to optimize supply chain management

7. Enhance Employee Skills

Develop Your Employees: Investing in employee development is key to succeeding as a business. The training is provided for the folks of various industries and so employees can increase their skills that are needed to work in a certain company. Employee performance can be enhanced by providing training programs in future technology skills and soft skills and job satisfaction.

Example: A marketing agency can host webinars or create courses to teach people the latest digital marketing trends and tools This can help to keep employees in the know which results in boosting their skills, making your campaigns successful.

8. Diversify Supply Chains

The ongoing pandemic has exposed the weaknesses of global supply chains. …diversify its supply base and promote the manufacturing of drugs in Nigeria to eliminate total dependence on a single source. In return, this approach increases resilience and reduces exposure to the risks of supply chain interruption.

- E.g., a consumer electronics company can source components from many suppliers in various regions. In so doing, this alleviates avoidable supply chain interruptions during times of political tensions or when disasters hit.

9. Make Decisions Based on Data

A business database is an asset for businesses. By implementing data, they allow you to make decisions based on the data that your analytics tools are providing. For example, sales analysis lets you track trends and better tailor your goods to the market.

Example: A retail chain can use data analytics to find out when a customer buys, and it change their purchasing policies. This can also reduce overstock and stockouts while overall, increasing efficiency.

10. Foster Innovation

Business Growth Innovation is Key A culture of creativity and experimentation should be established in companies. Funding R&D and teaming with startups can open many doors to both solve problems creatively but also tap into new markets.

Example: A software development firm could create an innovation lab where team members are freed to work on speculative projects. Moreover, work with start-ups on new technologies and solutions.

By adopting these strategies, businesses can navigate the turbulence for 2024 and roll up market — progressive.AI with an evolving dynamic market, being ahead of trends and updated is most likely will help you thrive in the business landscape.

[gravityengineering]

AI & Machine Learning Services: Driving Innovation in Business

In today’s fast-paced digital world, AI and Machine Learning (ML) are revolutionizing industries across the globe. These technologies are no longer futuristic concepts but integral parts of modern business operations. From automating routine tasks to making data-driven decisions, AI and ML are transforming how companies operate, innovate, and compete.

Why AI & Machine Learning Matter

AI and ML empower businesses to process massive amounts of data quickly and accurately, uncovering patterns and insights that would otherwise remain hidden. This capability opens the door to smarter decision-making, predictive analytics, and automation of tasks that previously required human intervention. In industries such as healthcare, finance, retail, and manufacturing, AI and ML are enhancing efficiency, reducing costs, and enabling personalization at scale.

For example, in retail, AI-driven recommendation systems help businesses offer personalized product suggestions to customers, boosting engagement and sales. In healthcare, machine learning algorithms analyze medical data to assist in diagnosing diseases earlier and more accurately. These applications are just the beginning—AI and ML can be tailored to meet the specific needs of almost any industry.

The Role of Gravity in AI & ML Services

At Gravity Engineering, we understand the transformative potential of AI and ML and are committed to helping businesses harness these technologies to their fullest potential. Our AI & Machine Learning services are designed to address the unique challenges of our clients, offering customized solutions that drive innovation, efficiency, and growth.

We assist businesses by implementing AI and ML solutions that automate processes, improve decision-making, and uncover actionable insights from complex data. Whether it's predictive modeling, natural language processing, or computer vision, we leverage advanced algorithms to solve real-world problems. At Gravity, we also ensure that our solutions are easy to integrate with existing systems, minimizing disruption while maximizing impact.

Our expertise extends across industries, from streamlining supply chains to enhancing customer experiences. By working with Gravity, businesses gain a competitive edge through smart technologies that enable them to stay ahead in an ever-evolving market.

Unlocking New Opportunities

AI and Machine Learning are more than just tools; they represent a new era of possibilities for businesses. By embracing these technologies, companies can innovate faster, make smarter decisions, and unlock new revenue streams. At Gravity, we believe in the power of AI to create a better future, not just for businesses, but for society as a whole.

In partnering with Gravity, businesses are not just adopting new technologies; they are investing in a strategic partner that understands the “gravity” of change and is dedicated to helping them thrive in this AI-driven world.

[undress-baby]

Exploring the Capabilities of Clothes Remover AI in Modern Fashion

The fashion industry has always been at the forefront of innovation, constantly adapting to new technologies to enhance design, production, and marketing. One of the latest advancements making waves is Clothes Remover AI, a technology that’s transforming the way we interact with fashion digitally. This tool has sparked significant interest, especially in the realms of virtual fitting rooms and digital fashion design.

What is Clothes Remover AI?

Clothes Remover AI is an artificial intelligence-based tool designed to digitally remove clothing from images. While the concept may sound controversial, its applications in the fashion industry are quite practical and forward-thinking. This technology allows designers, retailers, and consumers to visualize clothing fits and styles on digital models without the need for physical prototypes. Essentially, it helps in digitally removing one layer of clothing to visualize another, aiding in mix-and-match scenarios or virtual fittings.

The Role of Clothes Remove Technology in Fashion

The ability to remove clothes digitally has significant implications for the fashion industry. For designers, this technology allows for more efficient prototype creation. Instead of producing multiple physical samples, designers can now create and test their ideas in a digital space. This not only speeds up the design process but also reduces waste, making fashion more sustainable.

Retailers are also leveraging Clothes Remover AI to enhance the online shopping experience. Virtual fitting rooms powered by this technology allow customers to try on clothes digitally before making a purchase. This reduces the number of returns due to incorrect sizing or dissatisfaction with the fit, saving both the retailer and the customer time and money.

Ethical Considerations

Despite its benefits, the use of Clothes Remove AI raises ethical concerns. It’s crucial that this technology is used responsibly, with strict guidelines to ensure it’s not exploited for inappropriate or non-consensual purposes. The fashion industry must lead the way in setting these standards to ensure that technology enhances, rather than harms, the user experience.

Conclusion

Clothes Remover AI is revolutionizing the fashion industry by making design processes more efficient and shopping experiences more immersive. As this technology continues to evolve, it will be exciting to see how it further shapes the future of fashion, provided it is used ethically and responsibly.

[interestingsnippets]

consumers’ mass adoption of AI tools has had a knock-on effect on attitudes towards robotics, said Sonali Fenner of management consultancy Slalom. This has enabled companies to consider using robots in public-facing settings. Fenner used the example of a large retail client who deployed Spot, a Boston Dynamics robot dog powered by Google’s Gemini Pro model, in its stores to assess inventory. “[The hype] has opened the door a little bit to what is expected in particular environments and, even if you don’t want Spot walking around your retail store, you might accept a slightly less intrusive robot,” Fenner added. Ahti Heinla, co-founder of Skype and chief executive of delivery bot start-up Starship Technologies, who has deployed the small grocery robots across more than 100 cities and towns in Europe and the UK, said he was surprised at how easily people “perceive the robots to be normal participants in public space, and accept them as natural”.

Artificial intelligence breakthroughs create new ‘brain’ for advanced robots

[appicsoftwaresteam]

How To Develop A Fintech App In 2024?

FinTech, short for financial technology, represents innovative solutions and products that enhance and streamline financial services. These innovations span online payments, money management, financial planning applications, and insurance services. By leveraging modern technologies, FinTech aims to compete with and often complement traditional financial institutions, improving economic data processing and bolstering customer security through advanced fraud protection mechanisms.

Booming FinTech Market: Key Highlights And Projections

Investment Growth In FinTech

In 2021, FinTech investments surged to $91.5 billion.

This represents nearly double the investment amount compared to 2020.

The significant increase highlights the rapid expansion and investor interest in the global FinTech market.

Projected Growth In Financial Assets Managed By FinTech Companies

By 2028, financial assets managed by FinTech firms are expected to reach $400 billion.

This projection indicates a 15% increase from current levels, showcasing the potential for substantial growth in the sector.

Usage Of Online Banking

About 62.5% of Americans used online banking services in 2022.

This figure is expected to rise as more consumers adopt digital financial services.

Key FinTech Trends In 2024

1. Banking Mobility

The transition from traditional in-person banking to mobile and digital platforms has been significantly accelerated, especially during the COVID-19 pandemic. The necessity for remote banking options has driven a surge in the adoption of smartphone banking apps. Digital banking services have become indispensable, enabling customers to manage their finances without needing to visit physical bank branches. 

According to a report by Statista, the number of digital banking users in the United States alone is expected to reach 217 million by 2025. Many conventional banks are increasingly integrating FinTech solutions to bolster their online service offerings, enhancing user experience and accessibility.

2. Use Of Artificial Intelligence (AI)

AI in Fintech Market size is predicted at USD 44.08 billion in 2024 and will rise at 2.91% to USD 50.87 billion by 2029. AI is at the forefront of the FinTech revolution, providing substantial advancements in financial data analytics, customer service, and personalized financial products. AI-driven applications enable automated data analysis, the creation of personalized dashboards, and the deployment of AI-powered chatbots for customer support. These innovations allow FinTech companies to offer more tailored and efficient services to their users. 

3. Development Of Crypto And Blockchain

The exploration and integration of cryptocurrency and blockchain technologies remain pivotal in the FinTech sector. Blockchain, in particular, is heralded for its potential to revolutionize the industry by enhancing security, transparency, and efficiency in financial transactions. 

The global blockchain market size was valued at $7.4 billion in 2022 and is expected to reach $94 billion by 2027, according to MarketsandMarkets. These technologies are being utilized for improved regulatory compliance, transaction management, and the development of decentralized financial systems.

4. Democratization Of Financial Services

FinTech is playing a crucial role in making financial services more transparent and accessible to a broader audience. This trend is opening up new opportunities for businesses, retail investors, and everyday users. The rise of various digital marketplaces, money management tools, and innovative financing models such as digital assets is a testament to this democratization. 

5. Products For The Self-Employed

The increasing prevalence of remote work has led to a heightened demand for FinTech solutions tailored specifically for self-employed individuals and freelancers. These applications offer a range of features, including tax monitoring, invoicing, financial accounting, risk management, and tools to ensure financial stability. 

According to Intuit, self-employed individuals are expected to make up 43% of the U.S. workforce by 2028, underscoring the growing need for specialized financial products for this demographic. FinTech companies are responding by developing apps and platforms that address the unique financial needs of the self-employed, facilitating smoother and more efficient financial management.

Monetization of FinTech Apps

1. Subscription Model

FinTech apps can utilize a subscription model, which offers users a free trial period followed by a recurring fee for continued access. This model generates revenue based on the number of active subscribers, with options for monthly or annual payments. It ensures a steady income stream as long as users find the service valuable enough to continue their subscription.

2. Financial Transaction Fees

Charging fees for financial transactions, such as virtual card usage, bank transfers, currency conversions, and payments for third-party services, can be highly lucrative. This model capitalizes on the volume of transactions processed through the app, making it a significant revenue generator.

3. Advertising

In-app advertising can provide a consistent revenue stream. Although it may receive criticism, strategically placed banners or video ads can generate substantial income without significantly disrupting the user experience.

Types Of FinTech Apps

1. Digital Banking Apps

Digital banking apps enable users to manage their bank accounts and financial services without visiting a physical branch. These apps offer comprehensive services such as account management, fund transfers, mobile payments, and loan applications, ensuring transparency and 24/7 access.

2. Payment Processing Apps

Payment processing apps act as intermediaries, facilitating transactions between payment service providers and customers. These apps enhance e-commerce by enabling debit and credit card transactions and other online payment methods, supporting small businesses in particular.

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