#Analytics of Things Market Demand
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Analytics of Things Market to See Huge Growth by 2030
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Global Analytics of Things Market Report from AMA Research highlights deep analysis on market characteristics, sizing, estimates and growth by segmentation, regional breakdowns & country along with competitive landscape, player’s market shares, and strategies that are key in the market. The exploration provides a 360° view and insights, highlighting major outcomes of the industry. These insights help the business decision-makers to formulate better business plans and make informed decisions to improved profitability. In addition, the study helps venture or private players in understanding the companies in more detail to make better informed decisions. Some are the key & emerging players that are part of coverage and have being profiled are Cisco Systems (United States), Microsoft Corporation ((United States), SAP SE (Germany), Intel Corporation (United States), IBM Corporation (United States), Capgemini (France), TIBCO Software (United States), AGT International (Germany), Google, Inc. (United States). Get Free Exclusive PDF Sample Copy of This Research @ https://www.advancemarketanalytics.com/sample-report/72444-global-analytics-of-things-market-1 Analytics of Things (AoT) is the next step for Organizations implementing IoT. It conducts analytics on the data generated by IoT. IoT alone does not make sense as without conducting analytics, mere data collection will be of little use. Increase in rapidly changing technology and social media, Internet, and mobile utility, owing to the tremendous demand for analytics by various organizations is driving the Global AoT market. Further, There is a growth in massive data is mainly due to rise in the number of channels such as mobile computing, IoT, and social media which is leading to increased adoption of IoT enabled devices.
The titled segments and sub-section of the market are illuminated below: by Type (Software, Service), Application (Energy Management, Security and Emergency Management, Building Automation, Infrastructure Management, Others), End users (Retail and E-Commerce, Government and Defense, Healthcare and Life Sciences, Telecommunications and IT, Others), Services (Managed Services, Professional Services, Others), Software (Sensor Data Analytics, IoT Gateway Analytics, Network Management)
Market Trends:
Ease of Deployment and Reduced Cost of Components
Facilitates Analysis of Large Amount of Data Generated by IoT
Opportunities:
Increasing Demand for IoT and Demand for Instant Information
Big Organizations Investing in Advanced Technology and Skilled Human Resources
Market Drivers:
Increasing Frequency of End-to-End Automation Process
Rising Number of Connected Device
Soaring Need for Advanced Technology
Global Analytics of Things market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to help the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years. Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & AfricaCountry Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc. Have Any Questions Regarding Global Analytics of Things Market Report, Ask Our Experts@ https://www.advancemarketanalytics.com/enquiry-before-buy/72444-global-analytics-of-things-market-1 Points Covered in Table of Content of Global Analytics of Things Market:
Chapter 01 – Analytics of Things Executive Summary
Chapter 02 – Market Overview
Chapter 03 – Key Success Factors
Chapter 04 – Global Analytics of Things Market - Pricing Analysis
Chapter 05 – Global Analytics of Things Market Background
Chapter 06 -- Global Analytics of Things Market Segmentation
Chapter 07 – Key and Emerging Countries Analysis in Global Analytics of Things Market
Chapter 08 – Global Analytics of Things Market Structure Analysis
Chapter 09 – Global Analytics of Things Market Competitive Analysis
Chapter 10 – Assumptions and Acronyms Chapter 11 – Research Methodology Read Detailed Index of full Research Study at @https://www.advancemarketanalytics.com/reports/72444-global-analytics-of-things-market-1 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 [email protected]
#Global Analytics of Things Market#Analytics of Things Market Demand#Analytics of Things Market Trends#Analytics of Things Market Analysis#Analytics of Things Market Growth#Analytics of Things Market Share#Analytics of Things Market Forecast#Analytics of Things Market Challenges
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Can Math Predict the Future? Exploring Mathematical Forecasting
The idea of predicting the future using mathematics has fascinated humans for centuries. From forecasting weather patterns to predicting economic trends and even understanding social dynamics, math provides the framework for making sense of the world and anticipating what comes next.
1. Weather Forecasting: A Battle with Chaos
One of the most obvious examples of mathematical forecasting is weather prediction. Meteorologists rely on complex differential equations to model atmospheric conditions. These models, based on physical principles like fluid dynamics and thermodynamics, simulate the behavior of the atmosphere. But here’s the kicker—weather systems are chaotic. This means that tiny changes in the initial conditions can lead to vastly different outcomes, a phenomenon famously described by Edward Lorenz in the 1960s.
Lorenz’s work led to the development of chaos theory, which showed that deterministic systems (those governed by fixed laws) could still be unpredictable due to their sensitivity to initial conditions. This is why forecasts beyond a few days are often inaccurate: small errors compound exponentially, making long-term weather predictions difficult. Still, thanks to sophisticated computing and more accurate data, we can predict weather patterns with reasonable accuracy for about a week, and even then, the models rely heavily on continuous updates and refinement.
2. Exponential Growth and the Spread of Disease
In the world of epidemiology, mathematical models are essential for understanding the spread of infectious diseases. SIR models (Susceptible-Infected-Recovered) use ordinary differential equations to model how diseases spread through populations. These models take into account the rate of infection and recovery to predict the future trajectory of a disease.
The exponential nature of disease spread—especially in the early stages—means that without intervention, the number of cases can explode. For example, during the early stages of the COVID-19 pandemic, exponential growth was apparent in the number of cases. The key to controlling such outbreaks often lies in early intervention—social distancing, vaccinations, or quarantine measures.
Exponential growth isn’t limited to disease, either. It applies to things like population growth and financial investments. The classic compound interest formula,
A = P \left(1 + \frac{r}{n} \right)^{nt}
demonstrates how small, consistent growth over time can lead to huge, seemingly unstoppable increases in value.
3. Predictive Algorithms: Making Sense of Big Data
Data science is at the cutting edge of forecasting today. Algorithms powered by big data are now able to predict everything from consumer behavior to stock market fluctuations and political elections. By identifying patterns in large datasets, these algorithms can forecast outcomes that were previously unpredictable.
For example, Amazon uses predictive models to forecast demand for products, ensuring they have inventory ready for expected sales spikes. Similarly, Netflix uses recommendation systems to predict what shows or movies you’ll watch next based on your previous choices.
Despite all the advances in predictive analytics, uncertainty remains a fundamental part of the picture. Even the best models can't account for random events (think of a sudden market crash or an unexpected global pandemic). As a result, forecasting is always a balance of probability and uncertainty.
4. The Limits of Mathematical Predictions: Enter Uncertainty
At the core of any discussion about forecasting is the recognition that math cannot predict everything. Whether it’s the weather, the stock market, or even the future of human civilization, uncertainty is a constant. Gödel’s Incompleteness Theorem reminds us that even within a well-defined system, there are true statements that cannot be proven. Similarly, Heisenberg’s Uncertainty Principle in quantum mechanics tells us that there’s a limit to how precisely we can know both the position and momentum of particles—unpredictability is embedded in the fabric of reality.
Thus, while math allows us to make educated guesses and create models, true prediction—especially in complex systems—is often limited by chaos, uncertainty, and the sheer complexity of the universe.
#mathematics#math#mathematician#mathblr#mathposting#calculus#geometry#algebra#numbertheory#mathart#STEM#science#academia#Academic Life#math academia#math academics#math is beautiful#math graphs#math chaos#math elegance#education#technology#statistics#data analytics#math quotes#math is fun#math student#STEM student#math education#math community
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I'm once again seeing a programming-teacher talk about how useful generative-AI is for their work-flow.
And it's like... There are a lot of reasons to despise that stuff:
It's stealing things
You don't know from where it's stealing things
It'll lie to you to make itself look smart
Any info you give it it'll save for the future
And like. For a lot of people? That's plenty. That's more than enough to step away from generative-AI, and to condemn its usage.
But here's what kind of really bothers me about it?
Generative-AI is a capitalistic product
It's available for free
These massive companies are pouring millions of dollars into this thing, and it's... entirely free.
It's blatantly obvious that this is some kind of scam.
It could be a "rug-pull" where they'll suddenly start demanding that you pay them exorbitant prices for access to their models. Which would make sense, because "low prices to gain market-share, high prices after establishing a monopoly" is a tried-and-true method.
Except with all of these tech-companies all creating their own versions of the things? It's blatantly obvious that trying to gain a monopoly like this is doomed to failure.
That probably means that the "real" scam-idea needs to be something different.
And it's in thinking about this that I'm suddenly reminded of one specific piece of that initial list.
Any info you give it it'll save for the future
What... exactly does this mean? Where is it saving it? Is it running analytics on what your IP-address has asked it before? Does it know who you are? Can it guess what you're doing from your prompts?
And if the answer to these questions is "no", then how difficult would it be for a developer to change that overnight?
There's an old saying in the IT-industry that "if you're not paying for the product, you are the product".
How quickly do you think a programmer could get fired for aiding-and-abetting corporate espionage?
#generative ai#work#rants#i don't even bother speaking up anymore. bcs i know that these people are likely marinating in ''generative ai is amazing''-juice#everywhere they look. and i'm some random student with no experience in the industry. so why would my opinion matter?#but it's also like... they're teaching people to ''rely on a tool'' that WILL be taken away from them sooner or later#and... just... that doesn't sound like a great bit of advice. it'd be like saying ''use a calculator for everything. math isn't real''#and then expecting that calculators will just... magically appear whenever there's math to be done. for no extra cost. forever.#(which isn't the best comparison. bcs phones. but like. imagine if the calculator-makers were pushing this trend?)#(it'd be blatantly obvious to anyone with eyes that they're planning on hiking up prices to ridiculous levels.)
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CONTINUED UNPOPULAR OPINIONS ABOUT STEP BY STEP, EPISODE 11
I will spare y’all my biting criticism with a read-more. But, TL;DR -- my review is short (for me, HA!), and I hand this show over lovingly to anyone who wants it.
(Thanks to continued conversations with the inimitable @lurkingshan and the utterly lovely @neuroticbookworm to ensure I’m not going insane with these thoughts.)
At this point, I don’t know what narrative lens we’re supposed to be watching this show through*. Maybe a few of them, together, but that is striking me as an understudied, overambitious, overworked, and confused approach to understanding this show.
Is it a queer narrative about how Jeng has been closeted-ish/held back in his public queer identification for so long that he’s turned into an inconsistent, incommunicative, distrusting putz? Is there a connection between his family being disapproving of his sexuality, and/or him running away from a filial fate of taking over his dad’s company -- and him being a bumbling asshole to Pat?
Is it a trust narrative about how Pat can’t trust ANYONE? Put, Jeng, Jeng’s dad, the company, Toh? Maybe even Chot? (I’m just throwing that out there, since Chot sent him into the battlefield with Jeng during the last episode -- I love Chot, I ain’t blamin’ Chot.) (Maybe I analytically get to this narrative by... assuming Pat can’t trust anyone, since his loving, COMMUNICATIVE parents ended up getting divorced?) (And in the process of that divorce, we learn, in part, that Pat’s mom couldn’t find her full potential in life unless she was outside of the marriage?) [So maybe that’s what needs to happen to Pat? Since Jeng is CLEARLY UNDERMINING Pat’s efforts to be successful on his (Pat’s) own, in multiple ways, by really not allowing Pat to have control over his (Pat’s) own life?]
Is this a MACRO MACRO narrative commentary on the failings of BL tropes and the BL industry as a whole? (The reveal of the once-toxic Ying as a fujoshi?)
It could very well be all of these narratives at the same time. However, the execution of this storytelling, at this point, is so inconsistent and choppy that 1) I can’t exactly tell, and 2) I’m so frustrated about the amount of time that I’ve spent trying to understand this show that at this point, I don’t really want or care TO care.
To refer back to my first point (*) -- I think it’s unfair for me to demand that ANY show have a singular narrative lens. But I propose that Step By Step would have been an actually successful drama if it hadn’t tried to do so much. I’m EXTREMELY biased right now on this kind of analysis, because I’ve just finished Until We Meet Again for the Old GMMTV Challenge, and watched two narrative lenses in DeanPharm and KornIntouch come together into one cohesive story. (And, fuck, I cannot believe I’m saying this about a New Siwaj show.) I mean -- you can take filmmaking classes that can teach screenwriters and directors how to handle multiple narrative lenses successfully.
Maybe that’s the word: cohesiveness. I’m not seeing cohesiveness in Tee Bundit’s Step By Step. Instead, I watched an episode with actual minutes -- MINUTES! -- spent watching an office team held in tension as internet “likes” poured in. Looking at computers. I spent MANY MINUTES watching Jaab WAFFLE over MULTIPLE episodes going back and forth on Jen... only to discover that he missed Jen’s departure to Japan -- a Very Big Life Decision that Jaab just *missed.* Okay.
And.... we are left with the break-up of Jeng and Pat. And a time jump.
I mean.
All that growth of the previous episodes, all that slow burn, all that processing of Pat’s growth into a hopefully successful professional digital marketer. For what. No cohesive character development or a sharpening of any narrative lenses.
The last thing I’ll offer is that I understand that Tee Bundit added themes to this show that were not present in the original novel, such as the aforementioned macro commentary on the BL industry and other workplace storylines. And, starting with episode 10, he was on his complete own, outside of the novel’s romance arc (thank you to @lurkingshan for confirming this for me). I’ll theorize, therefore, that what we’ve been watching these past few weeks is a Frankenstein-ed approach to this story where the novel focused on the romance aspect of Pat and Jeng, and Tee’s been wanting to drive home themes of workplace success (I think); professional growth (I think?!); homophobia in the workplace and the harms of either being disapproved of and/or being closeted or closeted-ish in general (Jeng, Chot/Krit, Pat), plus that macro commentary on the BL industry that got edited out.
But, and I emphasize here: not a SINGLE one of these threads has been illuminated to the point of clarity. I’ve wondered in the back of my mind if Tee maybe threw the baby out with the bathwater on this show AFTER the whole ZeeNew debacle, but -- whatever. The seams on this show were fraying weeks ago, and it shows.
Again -- I can’t think much longer on this show. It’s over next week. After a break-up and a time jump. We’re on the express train to a likely happy ending that I’m going to guess will be totally unearned. I had high hopes for each episode, only to be sorely disappointed since episode 8, when the drag got so unbalanced that I started to raise red flags. I want to see a surprise turn towards good storytelling for this finale next week. I want to be proven wrong about my instincts, but I ain’t putting any of my money on it.
#step by step#step by step meta#jeng x pat#pat x jeng#ben bunyapol#man trisanu#i think ben and man improved over the course of this series but were vastly underutilized#i think a better structured script could have leveraged both of their inexperiences much better
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Mastering Liquidity Pools on STON.fi: A Beginner’s Guide
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Ever walked into a bustling marketplace where every stall has something to offer? That’s how liquidity pools work in the world of DeFi, and on STON.fi, it’s like having access to the VIP section of the market. But before you dive in, let’s break it down in a way that makes sense and feels practical.
In this guide, we’ll explore how to evaluate liquidity pools using three easy-to-grasp ideas: Pool Size (TVL), Earnings (APR), and Activity (Trading Volume). And yes, there’ll be analogies and examples to make it crystal clear!
1. Pool Size (TVL): The Marketplace Crowd
Imagine you’re setting up a stall in a market. The number of shoppers in the market represents TVL (Total Value Locked) in a liquidity pool.
Large Crowd (High TVL):
If the market is packed, your stall gets consistent traffic, but you’re competing with many other vendors. Similarly, pools with high TVL on STON.fi are stable and reliable but might offer lower individual rewards because the profits are shared among many liquidity providers.
Quiet Market (Low TVL):
A smaller crowd might mean less competition, but fewer buyers also means higher risk. Low TVL pools on STON.fi can yield better rewards, but only if the demand holds steady.
Example: Imagine adding $1,000 worth of liquidity to a STON.fi pool with $100K TVL. Your share is 1%. If trading fees generate $10,000 in a month, you’d earn $100.
2. Earnings (APR): Your Paycheck
Think of APR (Annual Percentage Rate) as your potential paycheck for participating in a liquidity pool. It shows how much you could earn over a year.
Sky-High Offers (High APR):
Ever seen a job offering double the industry salary? Tempting, but you’d wonder about the catch. Pools with high APRs can be rewarding but often come with risks like volatile token prices or unstable rewards.
Steady Income (Consistent APR):
A job with a solid, dependable paycheck is always appealing. Pools with moderate, consistent APRs on STON.fi are great for those who prefer long-term stability.
Example: If a pool offers 50% APR and you deposit $1,000, you’d earn $500 in a year—assuming no major changes. But always account for fluctuations in token prices.
3. Activity (Trading Volume): The Busy Stall
Picture your market stall again. The more customers buying and selling, the more profit you make. Trading volume works the same way—it’s the lifeblood of a liquidity pool.
High Volume:
Pools with active trading generate more fees for liquidity providers. On STON.fi, popular pairs like $TON often have high trading volume, meaning more frequent earnings.
Low Volume:
A quiet stall might not bring in much income. Similarly, pools with low trading volume might not generate enough fees to offset risks like impermanent loss.
Example: If a STON.fi pool has $1 million in trades daily and a 0.3% fee, that’s $3,000 in daily rewards for liquidity providers.
Check the STONFI Dex for available pools
Bonus Insights: Things You Must Know
Impermanent Loss:
Ever sold something for less than it’s worth because the market shifted? That’s impermanent loss in a nutshell. It’s the difference between holding your tokens and providing liquidity. Use STON.fi’s tools to estimate this before committing.
Security Matters:
Trust is everything. STON.fi operates on The Open Network (TON) blockchain, ensuring transactions are secure and smart contracts are audited. But always double-check the fine print.
Why STON.fi Stands Out
STON.fi isn’t just another DEX; it’s a powerhouse for DeFi enthusiasts. With its user-friendly interface, real-time analytics, and innovative farm pools, it’s like having a personal trading assistant. Whether you’re a beginner or a pro, STON.fi has options that fit your goals.
Your Strategy Matters
Understanding the size, activity, and earnings of a liquidity pool can make or break your DeFi journey. On STON.fi, the tools and opportunities are at your fingertips—use them wisely.
So, ready to set up your stall in the DeFi marketplace? Explore STON.fi today and start making your crypto work for you.
Remember, in DeFi, knowledge isn’t just power—it’s profit.
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A STORY OF HOW I BECAME A SUCCESSFUL AFFILIATE MARKETTER
(SOMETHING YOU MUST LEARN)
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Hello there! Let me take a moment to share my journey with you—how I went from being a complete beginner to where I am today as a successful affiliate marketer.
When I first stumbled upon affiliate marketing, I was skeptical. The idea of earning money online, from the comfort of my home, sounded too good to be true. But I was tired of my 9-to-5 grind and wanted something different—something that could give me the freedom and financial independence I was dreaming of. So, I decided to dive in, despite not knowing much about the industry.
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In the beginning, it was tough. I remember spending hours on Google, learning everything I could about affiliate marketing. I read articles, watched videos, and joined forums. I tried my hand at a few affiliate programs but didn’t see the results I hoped for at first. It felt like I was doing everything right, but nothing was clicking.
Then came the turning point. I realized I wasn’t focusing enough on the right strategies. So, I doubled down on learning and took my training seriously. I started to focus on building my niche, creating valuable content, and understanding the psychology of my target audience. Slowly but surely, my efforts began to pay off. My commissions started coming in, and I could see the potential affiliate marketing had to offer.
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Now, as someone who's been in this game for several years, let me share some tips to help you avoid the mistakes I made and shorten your learning curve.
Choose the Right Niche One of the most important lessons I learned is that picking the right niche is crucial. It’s not just about what you’re passionate about, but also about finding a market with demand, but not too saturated. It’s better to focus on a specific, smaller niche that you can dominate, rather than trying to compete in a broad and competitive market.
Understand Your Audience As an affiliate marketer, you're in the business of solving problems. The more you understand your audience—their pain points, desires, and struggles—the better you'll be at recommending products they need. Research your audience through surveys, reading reviews, and interacting with them to understand what they truly want.
Quality Content Over Quantity It’s not just about putting out a ton of content. The key is to create high-quality, value-packed content. Whether it’s blog posts, videos, or social media content, your goal should be to educate and provide value. When you do this, trust and authority follow.
Leverage Multiple Traffic Sources While SEO (Search Engine Optimization) is great for organic traffic, I learned early on that relying solely on Google isn’t wise. I diversified my traffic sources—social media, paid ads, email marketing, and even YouTube. More traffic means more potential conversions.
Use the Right Tools Now, tools are a game changer. When I started, I didn’t realize how important they were. There are essential tools that can streamline your affiliate marketing efforts, including:
Email Marketing Tools: Platforms like ConvertKit or MailChimp help you build an email list and automate your email marketing campaigns.
Landing Page Builders: Tools like Leadpages or ClickFunnels let you create high-converting landing pages without needing to code.
SEO Tools: Ahrefs and SEMrush are great for keyword research and competitor analysis.
Analytics: Google Analytics is crucial to understanding your audience and optimizing your content for better results.
Consistency Is Key Success doesn’t happen overnight. In fact, it can take months or even years before you start seeing significant results. The key is consistency—continue learning, experimenting, and improving every single day. Keep a long-term perspective, and you’ll get there.
Learn From Others One of the best things I did was to surround myself with successful affiliate marketers. I joined online communities, attended webinars, and learned from others who were already where I wanted to be. Collaboration and learning from others can dramatically accelerate your growth.
So, if you’re just starting your affiliate marketing journey, don’t get discouraged. It’s going to take time, effort, and dedication, but the rewards are worth it. Focus on continuous learning, invest in the right tools, and stay committed to your goals.
I’m living proof that anyone can go from beginner to master with the right mindset and strategies. Take action today, and soon, you’ll be sharing your own success story!
Good luck, and remember, consistency and perseverance will get you there!
#money#Forex#Paypal#Affiliate marketter#Blogging#Programming#Coding#Love#original story#download ebooks pdf#online money#Online shopping#online shopping store#online business
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The Need for Digitization in Manufacturing : Stay Competitive With Low-Code
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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.
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Industry 4.0 and the Demand for Smart Manufacturing in Pharma: A New Era for CMOs
The pharmaceutical industry is experiencing a paradigm shift with the advent of Industry 4.0 and smart manufacturing technologies. For contract manufacturing organizations (CMOs), these improvements are not just optional but necessary to remain competitive in a rapidly evolving marketplace. By leveraging cutting-edge technology, CMOs can increase productivity, reduce costs, and deliver better results for their customers. Let’s explore how Industry 4.0 is transforming medicine and the critical role CMOs play in this new era
What is Industry 4.0 in Pharma?
Industry 4.0 refers to the integration of advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), robotics, data analytics, etc. In medicine, these technologies enable real-time monitoring, predictive maintenance and automated quality control for smarter and more efficient production
For CMOs, adopting Industry 4.0 means embracing these innovations to streamline operations and meet the stringent demands of pharmaceutical procurement. With an increased focus on quality and speed, smart manufacturing gives CMOs a competitive advantage by ensuring accuracy and compliance.
Key benefits of Industry 4.0 for CMOs
1. Improved productivity
Industry 4.0 technology empowers CMOs to optimize production processes. Using IoT-enabled devices and sensors, production lines can be monitored in real-time, in order to instantly identify bottlenecks and malfunctions. This ensures minimal downtime and increases productivity.
2. Quality control
AI-powered quality assurance systems help CMOs identify deficiencies early in the process.
Real-time data collection and analysis ensures that each batch meets the highest standards, reducing the risk of recalls and compliance issues.
3. Debt reduction
Smart design reduces waste, energy consumption and labor costs. Predictive maintenance enabled by the IoT reduces device failures and extends device life, saving CMOs operating costs.
4. Quick time to market
With automated processes and flexible workflows, CMOs can reduce development cycles. This is especially important in the pharmaceutical industry, where time to market can determine the success of a product.
Projects 4.0 Technologies for CMO transformation
1. Internet of Things (IoT) .
IoT devices provide seamless communication between devices, systems and people. For CMOs, IoT ensures real-time visibility into production, inventory levels, and supply chain management.
2. Artificial Intelligence (AI) .
AI-driven analytics provide CMOs with actionable insights, enabling them to streamline their processes and improve decision-making. Machine learning algorithms can predict demand, optimize resource allocation, and improve process efficiency.
3. Robotics and Automation
Automation technologies are transforming medicine. Robots perform tasks with repeatedly increasing accuracy, freeing up humans for more subtle activities to improve stability.
4. Digital twins
Digital twins are virtual replicas of physical objects or systems. CMOs can use these to simulate and optimize processes, reduce trial-and-error methodologies, and accelerate innovation.
Challenges for CMOs to adopt Industry 4.0
While the benefits are undeniable, CMOs face several challenges in implementing Industry 4.0 technologies:
Significant initial investment: Implementing smart manufacturing processes requires significant upfront costs, which can be a barrier for smaller CMOs.
Skills Gap: The transition to Industry 4.0 requires a workforce with advanced technology skills, which may require significant training and recruitment efforts.
Data Security Issues: As manufacturing becomes increasingly digital, ensuring data security and protecting intellectual property becomes increasingly important.
The future of CMOs is in the industry 4.0 era
Adopting Industry 4.0 technologies is not a luxury but a necessity for CMOs to remain competitive. As pharmaceutical companies demand faster, superior solutions and lower costs, CMOs need to invest in smarter manufacturing processes to meet these expectations
The future of pharmaceuticals is collaboration and innovation. By partnering with technology providers and taking advantage of advanced systems, CMOs can position themselves as leaders in the industry. As Industry 4.0 continues to evolve, CMOs that embrace this shift will not only survive but thrive in this time of change
conclusion
Industry 4.0 and smart manufacturing are reshaping the medical landscape, creating unparalleled opportunities for CMOs to advance their capabilities. From real-time analytics to AI-driven analytics, these technologies empower CMOs to deliver exceptional value to their clients. By overcoming challenges and investing in innovation, CMOs can play a key role in shaping the future of medicine.
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Top Futuristic AI Based Applications by 2024
2024 with Artificial Intelligence (AI) is the backdrop of what seems to be another revolutionary iteration across industries. AI has matured over the past year to provide novel use cases and innovative solutions in several industries. This article explores most exciting AI applications that are driving the future.
1. Customized Chatbots
The next year, 2024 is seeing the upward trajectory of bespoke chatbots. Google, and OpenAI are creating accessible user-friendly platforms that enable people to build their own small-scale chatbots for particular use cases. These are the most advanced Chatbots available in the market — Capable of not just processing text but also Images and Videos, giving a plethora of interactive applications. For example, estate agents can now automatically create property descriptions by adding the text and images of listings thatsurgent.
2. AI in Healthcare
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AI has found numerous applications in the healthcare industry, from diagnostics to personalized treatment plans. After all, AI-driven devices can analyze medical imaging material more accurately than humans and thus among other things help to detect diseases such as cancer at an early stage. They will also describe how AI algorithms are used to create tailored treatment strategies personalized for each patient's genetics and clinical past, which helps enable more precise treatments.
3. Edge AI
A major trend in 2024 is Edge AI It enables computer processing to be done at the edge of a network, rather than in large data centers. Because of its reduced latency and added data privacy, Edge AI can be used in applications like autonomous vehicles transportations, smart cities as well as industrial automation. Example, edge AI in autonomous vehicles is able to get and process real-time data, increasing security by allowing faster decision-making.
4. AI in Finance
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Today, the financial sector is using AI to make better decisions and provide an even stronger customer experience. Fraud detection, risk assessment and customised financial advice have introduced insurance into the AI algorithm. AI-powered chatbots and virtual assistants are now common enough to be in use by 2024, greatly assisting customers stay on top of their financial well-being. Those tools will review your spending behavior, write feedback to you and even help with some investment advices.
5. AI in Education
AI is revolutionizing education with individualized learning. These AI-powered adaptive learning platforms use data analytics to understand how students fare and produces a customised educational content (Hoos, 2017). This way, students get a tailored experience and realize better outcomes. Not only that, AI enabled tools are also in use for automating administrative tasks which shortens the time required by educators on teaching.
6. AI in Job Hunting
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This is also reverberating in the job sector, where AI technology has been trending. With tools like Canyon AI Resume Builder, you can spin the best resumé that might catch something eye catchy recruiter among a dozen others applications he receives in-between his zoom meeting. Using AI based tools to analyze Job Descriptions and match it with the required skills, experience in different job roles help accelerating the chances of a right fit JOB.
7. Artificial Intelligence in Memory & Storage Solutions
Leading AI solutions provider Innodisk presents its own line of memory and storage with added in-house designed AI at the recent Future of Memory & Storage (FMS) 2024 event. Very typically these are solutions to make AI applications easier, faster and better by improving performance scalability as well on the quality. This has huge implications on sectors with substantial data processing and storage demands (healthcare, finance, self-driving cars).
Conclusion
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2024 — Even at the edge of possible, AI is revolutionizing across many industries. AI is changing our lives from tailored chatbots and edge AI to healthcare, finance solutions or education and job search. This will not only improve your business profile as a freelancer who create SEO optimized content and write copies but also give your clients in the writing for business niche some very useful tips.
#ai#ai in healthcare#ai in finance#ai in wealth management#ai in business#AI trends#artificial intelligence#advanced technologies#innovation#technological advancements
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Vertical Farming Market Recent Trends and Growth Analysis Report 2024 – 2030
The global vertical farming market size is expected to reach USD USD 24.95 billion by 2030, according to a new report by Grand View Research, Inc. It is expected to expand at a CAGR of 20.1% from 2023 to 2030. Increased use of Internet of Things (IoT) sensors for producing crops is likely to spur market demand over the forecast period. Information obtained from the sensors is stored on the cloud and analyzed to perform the required actions. The growing automation in agriculture and increasing use of big data and predictive analytics for maximizing yields are also likely to drive the market.
Vertical farming is effective in ensuring stability in crop production and maintaining reliability even in adverse climatic conditions. It provides multiple benefits over the traditional farming technique, such as less use of water, the lesser need for agrochemicals, and low dependence on agricultural labor. Vertical farming makes use of metal reflectors and artificial lighting to maximize natural sunlight.
Genetically modified organisms and the environmental and health effects of pesticides and other non-natural substances that are used for increasing agricultural production have encouraged consumers to adopt organic foods. According to the Organic Trade Association, the U.S. organic industry sales increased by around 5% in 2019 owing to the increased investment in infrastructure and education. As per the Organic Foods Production Act of 1990, the handlers and growers of organic products need to comply with the regulations.
Gather more insights about the market drivers, restrains and growth of the Vertical Farming Market
Detailed Segmentation:
Market Concentration & Characteristics
The vertical farming market growth stage is high. The vertical farming market is witnessing a significant degree of innovation, marked by the adoption of advanced technologies such as sensors and cameras in order to enhance resource efficiency, increase yields, and address challenges such as limited space and environmental constraints. Also, technologies such as hydroponics, aeroponics, LED grow lights, and automation systems are commonly employed to enhance efficiency and crop quality.
Market Dynamics
The growth of the vertical farming market is attributed to factors such as steady population growth, government incentives, limited availability of cultivable land, and the increasing demand for high-quality and fresh food. Moreover, the increasing consumer demand for organic food is positively impacting the growth of the vertical farming market, creating favorable business opportunities. With consumers placing a higher value on organic products, vertical farming is a viable solution to meet this demand.
Component Insights
On the basis of components, vertical farming market is segmented into hardware, software, and services. The hardware segment accounted for the largest market share in 2022. Hardware plays a significant role in maintaining an environment in vertical farming. The segment is further categorized into lighting, hydroponic components, climate control, and sensors. The lighting segment led the market and accounted for more than 44.46% of global hardware revenue in 2022. A large share of the lighting segment can be attributed to the dependence of vertical farms on artificial lighting. Artificial lights provide sufficient light intensities required for crop growth. The climate control segment is expected to register the highest CAGR of 20.6% over forecast period. Increasing adoption of hydroponic components by farmers to minimize weight load and infrastructure needed to support equipment is anticipated to drive demand for hydroponic components.
Growing Mechanism Insights
The Hydroponics segment registered the largest market share in 2022 and is expected to remain dominant between 2023 and 2030. Hydroponics is a popular growth mechanism due to low installation costs and ease of operations. It is a method of growing plants without soil, where soil is replaced by mineral solution inserted around plant roots. Additionally, the hydroponics method removes the risk of soil organisms causing diseases.
Crop Category Insights
The fruits, vegetables, & herbs segment registered the largest market share in 2022 and is expected to remain dominant between 2023 and 2030. Increasing cultivation of commonly grown fruits and vegetables in vertical farming is driving segment growth. Crops grown in vertical farming provide maximum profit to companies involved in their cultivation. At the same time, vertical farming improves biodiversity as it does not cause land disturbances. As such, vertical farming is in high demand for growing different types of crops. Further, fruits, vegetables, & herbs are segmented into tomato, lettuce, bell, chili peppers, strawberry, cucumber, leafy greens (excluding lettuce), herbs, and others. Among which tomatoes segment led the market and accounted for more than 24.23% of global fruits, vegetables, & herbs revenue in 2022.
Structure Insights
The shipping container segment dominated the market with a share of about 53.32% in 2022 and is expected to remain dominant between 2023 and 2030. This growth is attributed to the ability of structure to help grow crops irrespective of geographic location. One of the primary benefits of container-based farming is that container farms are easy to transport, and one doesn't require a large piece of land or dedicated building to start cultivating.
Regional Insights
In terms of revenue, Europe dominated the vertical farming market in 2022 with a share of approximately 31.7% and is expected to remain dominant between 2023 and 2030. Growing awareness regarding the importance of alternative farming owing to less availability of fertile agricultural land and increasing population in the region is the key factor anticipated to spur the demand.
Browse through Grand View Research's Next Generation Technologies Industry Research Reports.
• The global synthetic data generation market size was valued at USD 218.4 million in 2023 and is projected to grow at a CAGR of 35.3% from 2024 to 2030.
• The global service virtualization market size was valued at USD 786.0 Million in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 17.4% from 2024 to 2030.
Key Companies & Market Share Insights
Some of the key players operating in the market include Agrilution GmbH; Aerofarm; Brightfarms Inc.; Everlight Electronics Co., Ltd; Freight Farms; GrowUp Urban Farms Ltd.; Green Sense Farms, LLC; Vertical Farm Systems.
• Vertical Farm Systems is engaged in the development of fully automated growing systems with reusable medium and energy efficient climate cells. The company utilizes artificial intelligence (AI) and automation for optimized growing conditions.
• Brightfarms Inc., is an indoor farming company that provides fresh packaged salad. The company sells their product locally that are grown in controlled environment. The company is inclined towards development of efficient vertical farming system with a focus on resource efficiency and sustainable practices.
Key Vertical Farming Companies:
• AeroFarms (U.S.)
• Illumitex, Inc. (U.S.)
• American Hydroponics (U.S.)
• Agrilution GmbH
• Brightfarms Inc.
• Everlight Electronics Co., Ltd.
• Freight Farms
• GrowUp Urban Farms Ltd.
• Green Sense Farms, LLC
• Vertical Farm Systems.
Vertical Farming Market Segmentation
Grand View Research has segmented the global vertical farming market report based on structure, growing mechanism, crop category and region
Vertical Farming Structure Outlook (Revenue, USD Million, 2017 - 2030)
• Shipping Container
• Building-based
Vertical Farming Component Outlook (Revenue, USD Million, 2017 - 2030)
• Hardware
o Lighting
o Hydroponic components
o Climate control
o Sensors
• Software
• Services
o System Integration & Consulting
o Managed Services
o Assisted Professional Services
Vertical Farming Growing Mechanism Outlook (Revenue, USD Million, 2017 - 2030)
• Hydroponics
• Aeroponics
• Aquaponics
Vertical Farming Crop Category Outlook (Revenue, USD Million, 2017- 2030)
�� Fruits Vegetables, & Herbs
o Tomato
o Lettuce
o Bell & Chili Peppers
o Strawberry
o Cucumber
o Leafy Greens (excluding lettuce)
o Herbs
o Others
• Flowers & Ornamentals
o Perennials
o Annuals
o Ornamentals
• Others (Cannabis, Microgreens)
Vertical Farming Regional Outlook (Revenue, USD Million, 2017 - 2030)
• North America
o U.S.
o Canada
o Mexico
• Europe
o Germany
o U.K.
o France
o Italy
o Spain
• Asia Pacific
o China
o Japan
o India
o Singapore
o South Korea
• South America
o Brazil
• Middle East and Africa (MEA)
Order a free sample PDF of the Vertical Farming Market Intelligence Study, published by Grand View Research.
Recent Developments
• In March 2023, BrightFarms, a pioneer in the indoor farming industry, is growing by establishing four additional regional greenhouse centers that introduce sustainably farmed leafy greens to a broader audience in the Eastern and Central United States. The newly built greenhouse centers are expected to meet the rising demand for organic food and initiate distribution to retailers by 2024. With this expansion, the company is expecting 10x revenue growth by 2024.
• In February 2023, AeroFarms and Public Investment Fund (PIF), a wealth funding body of Saudi Arabia, announced a joint venture to establish indoor vertical farms in the Middle East and Saudi Arabia.
#Vertical Farming Market#Vertical Farming Market size#Vertical Farming Market share#Vertical Farming Market analysis#Vertical Farming Industry
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Market Report on Vertical Farming Products: Understanding Size, Share, and Growth Trajectories
The global vertical farming market size is expected to reach USD USD 24.95 billion by 2030, according to a new report by Grand View Research, Inc. It is expected to expand at a CAGR of 20.1% from 2023 to 2030. Increased use of Internet of Things (IoT) sensors for producing crops is likely to spur market demand over the forecast period. Information obtained from the sensors is stored on the cloud and analyzed to perform the required actions. The growing automation in agriculture and increasing use of big data and predictive analytics for maximizing yields are also likely to drive the market.
Vertical farming is effective in ensuring stability in crop production and maintaining reliability even in adverse climatic conditions. It provides multiple benefits over the traditional farming technique, such as less use of water, the lesser need for agrochemicals, and low dependence on agricultural labor. Vertical farming makes use of metal reflectors and artificial lighting to maximize natural sunlight.
Genetically modified organisms and the environmental and health effects of pesticides and other non-natural substances that are used for increasing agricultural production have encouraged consumers to adopt organic foods. According to the Organic Trade Association, the U.S. organic industry sales increased by around 5% in 2019 owing to the increased investment in infrastructure and education. As per the Organic Foods Production Act of 1990, the handlers and growers of organic products need to comply with the regulations.
Artificial lighting helps in extending the hours of natural daylight, which further increases the health, growth rate, and yield of the plants. Artificial lighting such as high-pressure sodium lighting and LED lighting can extend the availability of crops (throughout a season). LED lighting systems produce a dual-band color spectrum and generate low heat. They are anticipated to witness significant growth over the forecast period.
A hydroponic system is a method of growing plants without soil. A hydroponic system eliminates the need for pesticides and artificial ripening agents and helps in producing nutritionally-rich vegetables. However, factors such as high initial investment and fewer crop varieties are likely to restrain the market growth.
For More Details or Sample Copy please visit link @: Vertical Farming Market Report
Vertical Farming Market Report Highlights
The escalating production of biopharmaceutical products is anticipated to drive the market
The shipping container segment accounted for the largest market share in 2022. Shipping container-based farming uses less water than traditional farming with drip irrigation. Shipping containers can be easily stacked, modified, recycled, and refurbished at a lower cost. Additionally, the excess availability of unused shipping containers across the region will likely influence segment growth over the forecast period
The hardware segment accounted the largest market share in 2022. The hardware plays a significant role in maintaining the environment of the indoor farms. The segment is further categorized into climate control systems, lighting systems, sensors, and irrigation systems, which enables the cultivation of indoor-grown crops
The fruits vegetables, & herbs segment is also expected to have considerable growth over the forecast period. The increasing cultivation of commonly grown fruits and vegetables in greenhouses is driving the segment growth. Crops grown in vertical farming provide maximum profit to companies involved in their cultivation
Based on offering, the climate control segment is expected to witness high growth over the forecast period as the growth of crops can be controlled by monitoring and adjusting the concentrations of minerals
By growing mechanism, the aeroponics segment is expected to observe considerable growth over the forecast period as the aeroponics facilitate fast growth in plants (under normal conditions)
The North American regional market is expected to witness significant growth over the forecast period owing to the expansion of small-scale, commercial vertical farms
Gain deeper insights on the market and receive your free copy with TOC now @: Vertical Farming Market Report
We have segmented the global vertical farming market report based on structure, growing mechanism, crop category and region.
#VerticalFarming#UrbanAgriculture#SustainableFarming#AgTech#Hydroponics#Aeroponics#SmartFarming#ControlledEnvironmentAgriculture#FoodSecurity#GreenTech#UrbanFarming#CropProduction#InnovativeAgriculture#SustainableDevelopment#ClimateSmartAgriculture#AgriTechTrends#VerticalFarmingGrowth#AgriculturalInnovation#FutureFarming#ResourceEfficientFarming
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How Innovation Is Reshaping the Food Industry
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Food innovation refers to introducing novel ideas, products, and technologies that change how society produces, processes, packages, distributes, and consumes food. It goes beyond merely creating new recipes or flavors - food innovation encompasses advances in agriculture, food science, sustainability, and packaging. The goal is to enhance efficiency, safety, nutrition, and the overall consumer experience.
The need for food innovation arises from the ever-changing demands of consumers and the pressing challenges faced by the industry. As the global population continues to grow, so does the demand for food. Additionally, sustainability concerns, climate change, and limited resources prompt exploring alternative food growing and production methods. Innovations in food aim to enhance food security, minimize environmental impact, and offer consumers healthier, more diverse options.
Food innovation occurs through a combination of research, collaboration, and creativity. Scientists, entrepreneurs, farmers, and food industry professionals work together to develop new technologies and processes. Research institutions and startups play a crucial role in conducting experiments, testing new concepts, and bringing innovative products to the market.
In recent years, the food industry has witnessed groundbreaking innovations reshaping how people interact with food. The plant-based movement has gained immense traction, with plant-based alternatives for meat, dairy, and seafood becoming mainstream. Companies have developed plant-based burgers, vegan cheeses, and sustainable seafood alternatives using cutting-edge technologies. Beyond plant-based options, innovations have also focused on alternative protein sources, such as insect-based proteins and lab-grown meats, offering sustainable and protein-rich alternatives.
Swedish startup Mycorena is boosting microbial protein production through its fungi-based mycoprotein called Promyc. This ingredient can be used to create meat and tuna alternatives, beverage additives, and dessert ingredients, offering plant-based and sustainable options for consumers.
Finnish startup Onego Bio has developed a product genetically identical to egg whites using fermentation, and without using actual chickens. It uses precision fermentation of a microflora called Trichoderma reesei to produce ovalbumin, the protein found in chicken egg whites. This technology offers a sustainable and animal-friendly alternative for various food applications, including baked goods, desserts, sauces, and dressings.
Companies like New Culture are incorporating animal-free casein into their cheeses through precision fermentation. This breakthrough allows them to produce animal-free mozzarella cheese, offering a delicious and cruelty-free alternative to traditional dairy products.
In addition, consumers increasingly seek transparency in food choices, leading to the clean label movement. Brands are responding by using simple natural ingredients and avoiding artificial additives and preservatives.
Breakthrough innovations in the food industry are revolutionizing how society grows, produces, and consumes food, focusing on sustainability, nutrition, and convenience. One such innovation is plastic-free and smart packaging. Food companies are exploring biodegradable and even edible packaging solutions in response to environmental concerns. Smart packaging using nanotechnology is also gaining popularity, allowing consumers to assess food safety and quality easily.
The Internet of Things (IoT) in agriculture employs sensors and data analytics for optimizing crop conditions, irrigation, and pest control, reducing resource usage. Food waste reduction solutions, such as surplus food redistribution platforms, are being developed to combat the global food waste crisis. Moreover, biotechnology and data science advances enable personalized nutrition, tailoring dietary recommendations to individuals based on their genetic makeup, lifestyle, and health goals. These innovations promise a more sustainable, healthier, and efficient food future.
Food innovation is driving a remarkable transformation in the food industry, responding to the challenges and opportunities of today. From new plant-based products to sustainable agriculture and cutting-edge technologies, the future of food promises to be more diverse, nutritious, and sustainable. As consumers, entrepreneurs, and stakeholders continue to embrace innovation, the food industry's journey toward a more resilient and conscious future is set to continue.
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How will Digital Marketing Change in the Future?
The future of digital marketing is bright because now there is more market and consumer awareness. Businesses can also use a wide range of smart tools to collect an ocean of data and make in-depth analyses of their target audience. It's a completely new way to approach the audience.
The world is on the internet! From social media to Google searches, we all use the internet throughout the day. With this change of lifestyle, new platforms of marketing emerged. While traditional marketing still has its place in the world, digital marketing is quickly taking over thanks to affordability and analytics. A huge number of people are engaging via the internet, and digital marketing is growing and only going to increase further in the future.
According to the Digital Marketing Institute, “Digital Marketing is the use of digital channels to promote or market products and services to targeted consumers and businesses.”
Programmatic Advertising is taking place, providing dynamic modes of advertising to simplify digital ad campaigns. AI-enabled B2B customer experiences will increase with data and sales tech tools, enabling automated, algorithmic decisions. Buyers are looking for seamless experiences with instantaneous results.
The application of digital media marketing is making companies surge with demand and supplies of products to customers at a greater speed. Therefore, applying smart techniques with the help of various tools of digital marketing would benefit the companies to take advantage of the increasing demand in the customer segment and earn profit.
Digitization:
Everything is becoming digitized and fully automated in the days to come. If people are using things that are connected to the internet, then advertisement agencies and digital marketers should also come up with ways where there is the maximum possibility of traffic coming.
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Soon I'm going to be starting a master's degree in international accounting with data analytics, so to celebrate, I figured I'd pass on a little of what I know:
Artists: How to Cost your Commissions.
If you are an artist and you aren't sure what you should charge, or if you're not an artist but wonder why they might cost more than you'd expect, read on. This is just one way to do costing, but if you've not thought about it much, this post is for you.
I'm not a hustle bro, I'm just your friendly neighbourhood anarchist who picked a slightly incongruent degree and wants people to be fairly compensated for their labour.
First you need to determine your financial goal. This is where you want to be, and it's probably more than you think. This is assuming you either want to go full time with your art, or want to use it to supplement your income. If you are just doing it casually on the side you probably shouldn't think about it this hard and just skip to the part about the hourly rate.
So how much money do you need? Start by adding up all your expenses. All of them. Rent, food, entertainment, whatever. Include some extra for your savings. Don't forget tax too.
To calculate tax, you can't just multiply it by the percent either. You need to gross it up, so if the tax is 20% where you live, multiply your net financial goal it by 20/80 to get the tax you need to pay, so it's actually 25%. The same goes for if it's 40%, it would be 40/60. Add that as a other expense.
If you already have a job and want to supplement your income with commissions, your figure should be the difference between where you are now and where you want to be financially, but you need to be realistic.
Financial goal - Other Income = Commission Income Goal.
Next you need to determine your labour hours. This will vary widely depending on your style, habits, and other obligations, but it's up to you to determine how many hours a week or a month you are able to work. It also helps to do your budget with different amounts of labour hours so you can prepare for the unexpected. Maybe you can do 10 hours a week, maybe you can do 40. Don't forget to budget in time off. I'm never going to be in that hustle shit and work shouldn't dominate your life.
Now you should be able to calculate your approximate labour hours for the year. Maybe it's a little, maybe it's a lot, maybe you'll need to try some different numbers until you can get something that works for you, but I'm sure you can guess what comes next.
Required income ÷ Labour Hours = Cost per Hour
Have you ever walked into a business class by accident, and as the famous tweet says, the teacher is writing a fomula like that on the board and everyone is taking notes like it's actual school? Now you can use it too.
Next you need to figure out average times for each style of piece, colours, shading, backgrounds, extra characters, you should be able to get an idea of how long each kind of drawing takes, so from there it's just,
Cost per hour × Hours required = Commission Cost
It would be nice to be done there, right? Sadly this isn't a magical finance class class world, so if you've ever taken an econ 101 class, you know what's coming.
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Supply and demand mostly only works in theory and falls apart in many real world circumstances, (Economists DNI) but for online art it's actually fairly reliable. The calculation above is what your ideal cost should be, especially if you are thinking of going full time, but in reality the main thing that determines your com prices is supply and demand. How much do people pay for art the same fidelity as yours? Is there a demand for your unique style? Some artists can charge hundreds an image because they are popular, some are great but the demand isn't there.
Basically what I'm saying is to massage the numbers until you commission cost is someone people are willing to pay for. That's finance baybeeee
The whole of this post is don't undervalue yourself. Even if the market value of your art is technically below what it should be for you to make ends meet, you shouldn't undervalue yourself. Keep your goals in mind and make your prices as high as they can while people will still pay for it. I can't wait for the day when market values are a thing of the past and people can make what they want because we are no longer being forced to do bullshit to survive.
Your art is probably worth more than you think. Value your time and charge what you deserve.
#costing#personal finance#economists log off#insomnia posting#the real secret is that living off commissions is usually not achievable for all but artists with top tier technical skills#so start a patron if you can
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Ideal Customer Persona: Marketing Director Mark
About Them
Name: Mark Thompson
Role: Marketing Director
Industry: SaaS (Software as a Service)
Company Size: Mid-sized (100-500 employees)
Demographics:
Age: 35-45 years old
Education: Bachelor's in Marketing or Business, often with an MBA
Location: Urban areas with a tech industry presence (e.g., San Francisco, New York, Austin)
Experience: 10+ years in marketing, 3-5 years in a leadership role
Professional Background:
Strong understanding of digital marketing, analytics, and customer acquisition strategies
Experienced in leading cross-functional teams and managing marketing budgets.
Use Case
How they use our product:
To manage and optimize digital marketing campaigns across multiple channels (e.g., social media, email, SEO)
To gain insights into customer behavior and campaign performance through advanced analytics and reporting tools
To streamline and automate repetitive marketing tasks
What they’re trying to achieve:
Increase lead generation and conversion rates
Enhance brand visibility and engagement
Improve ROI on marketing spend
Gain a competitive edge through data-driven decision-making
Previous Solution & Pain Points
Previous Solution:
A combination of multiple marketing tools (e.g., email marketing platforms, social media schedulers, web analytics tools)
Manual processes for campaign management and performance tracking
Pain Points:
Fragmented data across different tools leading to inefficiencies and inaccuracies
Time-consuming manual processes
Difficulty in measuring the true impact of marketing efforts on revenue
Challenges in personalizing marketing campaigns at scale
Benefits
Main Benefits from Using Our Product:
Integrated Platform: Unified solution that brings all marketing tools and data into one platform
Automation: Streamlined workflows for campaign management, reducing manual effort
Advanced Analytics: Comprehensive reporting and analytics that provide actionable insights
Scalability: Ability to personalize campaigns at scale, driving better engagement
Improved ROI: More efficient use of marketing budgets through data-driven optimization
Buying Trigger
What Causes Them to Seek Out Our Product:
Need to consolidate marketing tools for better efficiency
Growth in company size leading to more complex marketing needs
Desire to improve marketing performance and accountability
Feedback from the executive team demanding better metrics and ROI
Frustration with current tools' limitations and lack of integration
Buying Process
Typical Process People Go Through to Buy Our Product:
Research: Initial online research to identify potential solutions, reading reviews and case studies
Evaluation: Shortlisting a few platforms, attending demos, and comparing features and pricing
Consultation: Internal discussions with the marketing team and other stakeholders (e.g., IT, finance)
Trial: Requesting a free trial or pilot program to test the product
Decision: Final decision made by the Marketing Director, often in consultation with the executive team
Approval: Securing budget approval and negotiating contracts
Choice Factors
Things They’re Looking for in a Product Like Ours:
Ease of Use: Intuitive interface and easy onboarding process
Integration: Seamless integration with existing tools and systems
Scalability: Ability to grow with the company and handle increasing volumes of data and users
Support: Reliable customer support and resources for troubleshooting and optimization
Value: Competitive pricing and clear ROI
Innovation: Regular updates and new features that keep the platform ahead of industry trends
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Transforming the Health Landscape: The Global Blockchain in Healthcare Market
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The integration of blockchain technology into the healthcare sector is revolutionizing the way medical data is managed, shared, and secured. As the demand for transparent, efficient, and secure healthcare services grows, blockchain offers promising solutions to longstanding challenges.
Understanding Blockchain in Healthcare
Blockchain Technology is a decentralized digital ledger that records transactions across multiple computers in a way that ensures the security and transparency of data. In healthcare, blockchain can be used to manage patient records, track pharmaceuticals, ensure the integrity of clinical trials, and streamline administrative processes. The immutable nature of blockchain helps in preventing data breaches, ensuring data accuracy, and enhancing patient privacy.
According to BIS Research, the Global Blockchain in Healthcare Market was estimated to grow to a value of $5.61 billion by 2025, and still the market is showing a steep growth till 2030 witnessing a double-digit CAGR growth rate throughout the forecast period.
Key Market Dynamics
Several factors are driving the growth of the global blockchain in healthcare market:
Data Security and Privacy:
Need for robust data security and privacy solutions.
Healthcare data breaches are a growing concern.
Blockchain's secure, immutable nature protects sensitive patient information.
Interoperability and Data Sharing:
Facilitates seamless data sharing between healthcare providers and systems.
Overcomes current interoperability issues.
Leads to better patient outcomes by providing a comprehensive view of health history.
Supply Chain Transparency:
Tracks the entire lifecycle of drugs in the pharmaceutical industry.
Ensures the authenticity of medications.
Helps combat counterfeit drugs.
Efficient Administrative Processes:
Streamlines various administrative processes, such as billing and claims management.
Reduces fraud and administrative costs.
Support from Regulatory Bodies:
Increasing support from regulatory bodies and governments.
Initiatives by FDA and EMA to explore blockchain for drug traceability and clinical trials boost market growth.
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Global Blockchain in Healthcare Industry Segmentation
Segmentation by Application:
Data Exchange and Interoperability
Supply Chain Management
Claims Adjudication and Billing Management
Clinical Trials and Research
Others
Segmentation by End-User:
Healthcare Providers
Pharmaceutical Companies
Payers
Others
Segmentation by Region:
North America
Europe
Asia-Pacific
Latin America and Middle East & Africa
Future Market Prospects
The future of the global blockchain in healthcare market looks promising, with several trends likely to shape its trajectory:
Integration with AI and IoT: The integration of blockchain with artificial intelligence (AI) and the Internet of Things (IoT) will enhance data analytics, predictive healthcare, and real-time monitoring.
Expansion of Use Cases: New use cases for blockchain in digital healthcare will emerge, including patient-centered care models, personalized medicine, and enhanced telemedicine services.
Focus on Patient-Centric Solutions: Blockchain will enable more patient-centric healthcare solutions, empowering patients with greater control over their health data and enhancing patient engagement.
Development of Regulatory Frameworks: The establishment of clear regulatory frameworks and industry standards will facilitate the widespread adoption of blockchain in healthcare.
Conclusion
The Global Blockchain in Healthcare Industry is poised for significant growth, driven by the need for enhanced data security, interoperability, supply chain transparency, and efficient administrative processes. By addressing challenges related to regulatory compliance, implementation costs, standardization, and scalability, and leveraging opportunities in technological advancements, investments, partnerships, and government initiatives, the potential of blockchain in healthcare can be fully realized. This technology promises to revolutionize healthcare delivery, enhancing efficiency, transparency, and patient outcomes, and setting new standards for the future of digital health.
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