S&amp;P Global Ratings will monitor India&#x27;s fiscal consolidation efforts over the next two years for a potential sovereign ratings upgrade. Despite raising the outlook to &quot;positive,&quot; the rating remains &quot;BBB-.&quot; Focus is on India&#x27;s fiscal deficit reduction targets, fiscal discipline with RBI&#x27;s surplus ...

India rating upgrade: S&P Global to observe India's fiscal glidepath for ratings upgrade - The Economic Times

Fisecal

fisecal

PARAG AGRAWAL VIJAYA GADDE, and NED SEGAL v. Twitter Court Filing, retrieved on April 10, 2023, is part of . You can jump to any part in this filing . This is part 23 of 37. HackerNoon’s Legal PDF Series here ARTICLE X - GENERAL MATTERS 10.1 EXECUTION OF CORPORATE CONTRACTS AND INSTRUMENTS Except as otherwise provided by law, the certificate of incorporation or these bylaws, the board of directors may authorize any officer or officers, or agent or agents, to enter into any contract or execute any document or instrument in the name of and on behalf of the corporation; such authority may be general or confined to specific instances. Unless so authorized or ratified by the board of directors or within the agency power of an officer, no officer, agent or employee shall have any power or authority to bind the corporation by any contract or engagement or to pledge its credit or to render it liable for any purpose or for any amount. 10.2 FISCAL YEAR The fiscal year of the corporation shall be fixed by resolution of the board of directors and may be changed by the board of directors. 10.3 SEAL The corporation may adopt a corporate seal, which shall be adopted and which may be altered by the board of directors. The corporation may use the corporate seal by causing it or a facsimile thereof to be impressed or affixed or in any other manner reproduced. 10.4 CONSTRUCTION; DEFINITIONS Unless the context requires otherwise, the general provisions, rules of construction, and definitions in the DGCL shall govern the construction of these bylaws. Without limiting the generality of this provision, the singular number includes the plural, the plural number includes the singular, and the term person includes a corporation, partnership, limited liability company, joint venture, trust or other enterprise, and a natural person. Any reference in these bylaws to a section of the DGCL shall be deemed to refer to such section as amended from time to time and any successor provisions thereto. Continue Reading . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case 2023-0409 retrieved on October 4, 2023, from is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. int.nyt.com

Twitter Sued By Former Executives: Details on Corporate Contracts, Fiscal Year, and More

Your Fiscal Physical

Donald Trump, $80k Bitcoin and the Strategic Bitcoin Reserve

It is earnings season, which means we're going to be recapping some of the results big tech has been posting this past week. Big tech stocks were previously referred to as "FAANG," as in to signify Facebook, Apple, Amazon, Netflix, and Google, but Wall Street has changed its view on stocks to watch out for, so now they're referred to as The Magnificent Seven. The Magnificent Seven stocks are: Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia and Tesla, and Reuters has a nice report explaining how the term came to be and how the stocks have performed when compared to the rest of the S&P 500 (hint: they've outperformed the S&P 500 by a LOT). Anyway, let's jump right into the mix! Tesla I touched on Tesla's results last week, but in case you missed it, the world's most valuable car company posted Q3 profit of $2.12 billion, up 17% from last year, while sales grew 8% when compared to the same period in 2023. Investors were happy with the results, so much so that the company recorded its biggest single-day gain in over a decade. Tesla ranked #8 on HackerNoon's tech company rankings this week. GET PUBLISHED ON HACKERNOON.
Join a global network of 45,000+ published devs, builders, founders, makers, VCs, hodlrs, and hackers. Start submitting your tech stories and tutorials to get published FREE on HackerNoon — no pop-ups, no paywalls. Apple The iPhone maker reported net sales of $94.9 billion for the fiscal quarter ending Sept. 28, up from $89.5 billion a year ago. Despite the increase in revenue, profit was down to $14.74 billion from $23.0 billion in the same quarter of 2023. A quick look at the company's financial statement showed the company paid more in taxes this quarter than in the year-ago period. The one question on Wall Street's mind after Apple reported its results was whether the company would be able to continue selling as much hardware as it currently does or whether growth will decline. The company did not address the question, per Reuters. Instead, the company issued a modest outlook for sales for the last three months of 2024 — never a good sign considering businesses usually see sales boom during the holiday season. Understandably, the company's stock price fell after the results were announced. Apple occupied the #15 spot on HackerNoon's tech company rankings this week. Microsoft Microsoft said its revenue increased 16% year over year to $65.6 billion, while profit jumped 11% to $24.7 billion when compared to the same quarter of 2023. Yet, the company's shares fell post earnings. The main reason for the drop had to do with commentary surrounding artificial intelligence. Wall Street is concerned that big tech is spending way too much money on developing infrastructure for artificial intelligence, with no clear pathway on how these investments are going to be monetized. While there is a general consensus that all these investments in AI will yield a return eventually, Wall Street is interested in a specific timeline as opposed to "some time in the future" rhetoric. "Microsoft is escalating a CapEx war that it may not be able to win. That level of investment is very high, it created a very big drag on free cash flow and will create a very big drag on margins going forward," Gil Luria, head of technology research at D.A. Davidson, was quoted as saying by Reuters. Microsoft ranked #3 on HackerNoon's tech company rankings this week. Meta As with Microsoft, Meta too reported an increase in its sales and profit but saw its shares drop post earnings. The catalyst? Artificial intelligence. Meta said its quarterly revenue rose 19% year over year to $40.6 billion, while profit increased 35% to $15.7 billion thanks to "AI progress across our apps and business." Yet, Wall Street was concerned over comments the company's management made over an "acceleration" of artificial intelligence-related infrastructure expenses next year. Meta's AI ambition is subject to more scrutiny than say some of the other Magnificent 7 stocks because the company has traditionally operated as a social media business. So anytime Meta tries to do something that's outside of its core activities, like, say, AI in this instance, Wall Street needs assurances that it will pan out. As one analyst said: "Meta needs to prove that it can continue to cover its AI costs as they rise next year, and any weakness in its core ad business could make investors nervous as they continue to wait for a return on Meta’s bigger AI bets." Meta landed on the #23 spot on HackerNoon's tech company rankings this week. Amazon Unlike some of the other Magnificent 7 stocks, Amazon's stock rallied after its earnings and rallied hard. The company said its net sales increased by 11% year over year to $158.9 billion, while profit rose to  $15.3 billion from $9.9 billion in the same quarter of 2023. The company's stock jumped for two reasons: first, the results were better than expected; and secondly, Amazon said it would make more money in the holiday quarter due to faster shipping times and a move to stock lower-costs items. Essentially, Wall Street was happy that the company's core business was doing well and would continue to do so. Amazon ranked #46 on HackerNoon's tech company rankings this week. Alphabet Google's parent Alphabet reported a 15% increase in quarterly revenue to $88.3 billion, while profit jumped 34% to $26.3 billion when compared to the same period a year ago. Wall Street was not disappointed with the results, as evidenced by a rally in the company's stock post earnings. During its Q3 earnings call, the company's management indicated it was seeing clear evidence that AI integrations across its products and services were driving new types of queries and creating incremental monetization opportunities. One analyst said the commentary was "countering" the AI bear case on both search and higher infrastructure cost. Alphabet ranked #4 on HackerNoon's tech company rankings this week. Which leaves us with Nvidia. The world's most valuable chip maker is yet to report its results, but when it does, I'll be sure to report on it. In Other News.. 📰 Bitcoin Set for $6K-$8K Seesaw as U.S. Election Enters Final Stretch: Analyst — via CoinDesk
ChatGPT Search is not OpenAI’s ‘Google killer’ yet — via TechCrunch
Russia fines Google $20,000,000,000,000,000,000,000,000,000,000,000 — via CNN
French families sue TikTok over alleged failure to remove harmful content — via Reuters
What AI knows about you — via Axios
Nvidia to join Dow Jones Industrial Average, replacing rival chipmaker Intel — via CNBC And that's a wrap! Don't forget to share this newsletter with your family and friends! See y'all next week. PEACE! ☮️ — Sheharyar Khan, Editor, Business Tech @ HackerNoon *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's Tech Company Rankings page. Tech, What the Heck!? is a once-weekly newsletter written by HackerNoon editors that combine HackerNoon's proprietary data with news-worthy tech stories from around the internet. Humorous and insightful, the newsletter recaps trending events that are shaping the world of tech. Subscribe here. It is earnings season, which means we're going to be recapping some of the results big tech has been posting this past week. Big tech stocks were previously referred to as "FAANG," as in to signify Facebook , Apple , Amazon , Netflix , and Google , but Wall Street has changed its view on stocks to watch out for, so now they're referred to as The Magnificent Seven. Facebook Facebook Apple Apple Amazon Amazon Netflix Netflix Google Google The Magnificent Seven stocks are: Alphabet , Amazon , Apple , Meta , Microsoft , Nvidia and Tesla , and Reuters has a nice report explaining how the term came to be and how the stocks have performed when compared to the rest of the S&P 500 (hint: they've outperformed the S&P 500 by a LOT). Alphabet Alphabet Amazon Amazon Apple Apple Meta Meta Microsoft Microsoft Nvidia Nvidia Tesla Tesla explaining explaining Anyway, let's jump right into the mix! Tesla Tesla I touched on Tesla's results last week , but in case you missed it, the world's most valuable car company posted Q3 profit of $2.12 billion, up 17% from last year, while sales grew 8% when compared to the same period in 2023. Tesla's results last week Tesla's results last week posted posted Investors were happy with the results, so much so that the company recorded its biggest single-day gain in over a decade. recorded recorded Tesla ranked #8 on HackerNoon's tech company rankings this week. tech company rankings tech company rankings GET PUBLISHED ON HACKERNOON. Join a global network of 45,000+ published devs, builders, founders, makers, VCs, hodlrs, and hackers. Start submitting your tech stories and tutorials to get published FREE on HackerNoon — no pop-ups, no paywalls. GET PUBLISHED ON HACKERNOON. GET PUBLISHED ON HACKERNOON . GET PUBLISHED ON HACKERNOON Join a global network of 45,000+ published devs, builders, founders, makers, VCs, hodlrs, and hackers. Start submitting your tech stories and tutorials to get published FREE on HackerNoon — no pop-ups, no paywalls. Join a global network of 45,000+ published devs, builders, founders, makers, VCs, hodlrs, and hackers. Start submitting your tech stories and tutorials to get published FREE on HackerNoon — no pop-ups, no paywalls. Apple Apple The iPhone maker reported net sales of $94.9 billion for the fiscal quarter ending Sept. 28, up from $89.5 billion a year ago. Despite the increase in revenue, profit was down to $14.74 billion from $23.0 billion in the same quarter of 2023. A quick look at the company's financial statement showed the company paid more in taxes this quarter than in the year-ago period. company's financial statement company's financial statement The one question on Wall Street's mind after Apple reported its results was whether the company would be able to continue selling as much hardware as it currently does or whether growth will decline. The company did not address the question , per Reuters. did not address the question did not address the question Instead, the company issued a modest outlook for sales for the last three months of 2024 — never a good sign considering businesses usually see sales boom during the holiday season. Understandably, the company's stock price fell after the results were announced. Apple occupied the #15 spot on HackerNoon's tech company rankings this week. tech company rankings tech company rankings Microsoft Microsoft Microsoft said its revenue increased 16% year over year to $65.6 billion, while profit jumped 11% to $24.7 billion when compared to the same quarter of 2023. said said Yet, the company's shares fell post earnings. The main reason for the drop had to do with commentary surrounding artificial intelligence. Wall Street is concerned that big tech is spending way too much money on developing infrastructure for artificial intelligence, with no clear pathway on how these investments are going to be monetized. commentary commentary While there is a general consensus that all these investments in AI will yield a return eventually, Wall Street is interested in a specific timeline as opposed to "some time in the future" rhetoric. "Microsoft is escalating a CapEx war that it may not be able to win. That level of investment is very high, it created a very big drag on free cash flow and will create a very big drag on margins going forward," Gil Luria, head of technology research at D.A. Davidson, was quoted as saying by Reuters. Microsoft ranked #3 on HackerNoon's tech company rankings this week. tech company rankings tech company rankings Meta Meta As with Microsoft, Meta too reported an increase in its sales and profit but saw its shares drop post earnings. drop drop The catalyst? Artificial intelligence. Meta said its quarterly revenue rose 19% year over year to $40.6 billion, while profit increased 35% to $15.7 billion thanks to "AI progress across our apps and business." Yet, Wall Street was concerned over comments the company's management made over an "acceleration" of artificial intelligence-related infrastructure expenses next year. concerned concerned Meta's AI ambition is subject to more scrutiny than say some of the other Magnificent 7 stocks because the company has traditionally operated as a social media business. So anytime Meta tries to do something that's outside of its core activities, like, say, AI in this instance, Wall Street needs assurances that it will pan out. As one analyst said: "Meta needs to prove that it can continue to cover its AI costs as they rise next year, and any weakness in its core ad business could make investors nervous as they continue to wait for a return on Meta’s bigger AI bets." Meta landed on the #23 spot on HackerNoon's tech company rankings this week. tech company rankings tech company rankings Amazon Amazon Unlike some of the other Magnificent 7 stocks, Amazon's stock rallied after its earnings and rallied hard. rallied rallied The company said its net sales increased by 11% year over year to $158.9 billion, while profit rose to  $15.3 billion from $9.9 billion in the same quarter of 2023. said said The company's stock jumped for two reasons: first, the results were better than expected; and secondly, Amazon said it would make more money in the holiday quarter due to faster shipping times and a move to stock lower-costs items. Essentially, Wall Street was happy that the company's core business was doing well and would continue to do so. Amazon ranked #46 on HackerNoon's tech company rankings this week. tech company rankings tech company rankings Alphabet Alphabet Google's parent Alphabet reported a 15% increase in quarterly revenue to $88.3 billion, while profit jumped 34% to $26.3 billion when compared to the same period a year ago. reported reported Wall Street was not disappointed with the results, as evidenced by a rally in the company's stock post earnings. rally rally During its Q3 earnings call, the company's management indicated it was seeing clear evidence that AI integrations across its products and services were driving new types of queries and creating incremental monetization opportunities. One analyst said the commentary was "countering" the AI bear case on both search and higher infrastructure cost. Alphabet ranked #4 on HackerNoon's tech company rankings this week. tech company rankings tech company rankings Which leaves us with Nvidia. The world's most valuable chip maker is yet to report its results, but when it does, I'll be sure to report on it. Which leaves us with Nvidia. The world's most valuable chip maker is yet to report its results, but when it does, I'll be sure to report on it. In Other News.. 📰 In Other News.. 📰 Bitcoin Set for $6K-$8K Seesaw as U.S. Election Enters Final Stretch: Analyst — via CoinDesk ChatGPT Search is not OpenAI’s ‘Google killer’ yet — via TechCrunch Russia fines Google $20,000,000,000,000,000,000,000,000,000,000,000 — via CNN French families sue TikTok over alleged failure to remove harmful content — via Reuters What AI knows about you — via Axios Nvidia to join Dow Jones Industrial Average, replacing rival chipmaker Intel — via CNBC Bitcoin Set for $6K-$8K Seesaw as U.S. Election Enters Final Stretch: Analyst — via CoinDesk CoinDesk CoinDesk ChatGPT Search is not OpenAI’s ‘Google killer’ yet — via TechCrunch TechCrunch TechCrunch Russia fines Google $20,000,000,000,000,000,000,000,000,000,000,000 — via CNN CNN CNN French families sue TikTok over alleged failure to remove harmful content — via Reuters Reuters Reuters What AI knows about you — via Axios Axios Axios Nvidia to join Dow Jones Industrial Average, replacing rival chipmaker Intel — via CNBC CNBC CNBC And that's a wrap! Don't forget to share this newsletter with your family and friends! See y'all next week. PEACE! ☮️ — Sheharyar Khan , Editor, Business Tech @ HackerNoon Sheharyar Khan Sheharyar Khan *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's Tech Company Rankings page. *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's Tech Company Rankings page. *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's Tech Company Rankings page. Tech Company Rankings Tech Company Rankings Tech, What the Heck!? is a once-weekly newsletter written by HackerNoon editors that combine HackerNoon's proprietary data with news-worthy tech stories from around the internet. Humorous and insightful, the newsletter recaps trending events that are shaping the world of tech. Subscribe here. Tech, What the Heck!? is a once-weekly newsletter written by HackerNoon editors that combine HackerNoon's proprietary data with news-worthy tech stories from around the internet. Humorous and insightful, the newsletter recaps trending events that are shaping the world of tech. Subscribe here. Tech, What the Heck!? is a once-weekly newsletter written by HackerNoon editors that combine HackerNoon's proprietary data with news-worthy tech stories from around the internet. Humorous and insightful, the newsletter recaps trending events that are shaping the world of tech. Subscribe here . here here

Q3 Movers and Shakers

It’s November, which means the holiday season has started — and with it, an influx of online orders. Most consumers who have ordered something online have experienced delays, failed delivery attempts or worse — lost packages. Frankly, tracking numbers and text message updates aren’t cutting it. Could artificial intelligence finally provide a solution to this problem? Packages Are Going Missing and It’s a Problem A package is supposed to arrive today. The person who placed the order watches their front door like a hawk after their app’s tracker changes from “shipping” to “out for delivery.” The estimated delivery time comes and goes — and nothing gets dropped off. Their phone pings with a “Sorry we missed you” message. What happened? Situations like these are common. Whether the seller reschedules, a delivery driver skips part of their route to save time or a porch pirate swoops in at the last second, parcels go missing all the time. In 2023, almost 40% of people in the United States had at least one package stolen. This problem is challenging to remedy simply because the delivery network is massive. Accurately tracking missing orders is possible, but it is a tall order with today’s technical limitations. Companies must monitor warehouse workers, drivers and vehicles. Not to mention, they must handle fraud cases where customers claim to have received nothing when, in reality, they did. Even in ideal circumstances, accidents happen — a small envelope could fall behind the sorting machine or get stuck under a larger box. Even when shipments eventually reach the right address, they stay in the delivery network too long. According to the United States Postal Service (USPS), 17.3% of first-class mail was not delivered on time in the second quarter of the fiscal year 2024, up 3.2 percentage points from the previous quarter. Rates for marketing mail and periodicals also worsened. The number of parcels going missing in the reverse logistics process is often overlooked. Around 30% of all online orders are sent back, compared to just 9% in brick-and-mortar stores. A disappearing parcel is particularly frustrating here, as the person attempting the return may be denied a refund or end up on the hook for the full price of the item. Why Use AI to Track People’s Missing Packages? AI is a powerful technology. A single advanced algorithm can process massive datasets, make data-driven decisions and understand language, regardless of whether it is a chatbot, generative algorithm or deep learning model. Training determines its purpose and behavior, so it can be utilized in virtually any use case. Versatility is useful when analyzing data since processing centers can produce billions of drop-off images or location data points in short periods. There is even more to go through if they use Internet of Things (IoT) tools or telematics systems in their fleets. AI can respond to prompts with voice, image, text or audio output, streamlining information retrieval and summary. Only a technology like AI can handle all the data created by the delivery network’s massive, interconnected system of sellers, fleets, customers and warehouses. Its rapid analysis isn’t its only boon — it also has automation capabilities. An advanced model can operate around the clock without stopping for breaks, food or sleep. Is AI Already Being Used to Track Packages? Several delivery companies are already using AI to track shipments in transit. For instance, the United Parcel Service uses an AI-enabled supply chain. It uses historical and real-time data to calculate the fastest, safest way to boost the on-time delivery rate. Its algorithm can also anticipate disruptions and provide a comprehensive view of the fleet’s network. If other firms deploy AI at the edge — at the network’s boundary where data is created — they wouldn’t have to build data centers to process or analyze the massive amount of logistics information they receive. On top of using fewer computing resources, they’d enable real-time results with little to no delay, improving output accuracy. In a different approach, USPS uses an AI-enabled edge computing program powered by NVIDIA technology. Its model analyzes billions of images that the processing center generates. Before, finding a missing order took a team of up to 10 people multiple days. With this platform, a single individual can track one down in around two hours. 4 Ways AI Can Track Stolen and Lost Packages There are several ways AI can help people track their missing parcels. 1. Provide Real-Time Updates Even with a tracking number, updates are often too vague, inaccurate or outdated to be helpful. According to one survey, nine in 10 people want to be able to track their order, with 47% wanting to know exactly where their item is at all times. AI can fulfill this desire, providing real-time updates as shipments travel. 2. Calculate Delivery Estimate Since as many as 20% of deliveries fail on the first attempt, reschedules are common. While most people wait a few extra days, some don’t receive their items for weeks or months. With AI, they can see how long it will take for a driver to reattempt delivery. The algorithm can factor in variables like weather, consumer demand, route closures and delays. 3. Analyze the Drop-Off Photos An AI could leverage image recognition technology to analyze millions of drop-off photos. It can flag the delivery as incorrect or suspicious if it notices any discrepancies. If there are enough clues in the photo’s visual details or metadata, the model could help workers track down the missing parcel. 4. Answer Peoples’ Questions Globally, 46% of online shoppers expect to receive their orders within two to three days. However, delays, reschedules and cancellations are common. When these situations arise, an AI-powered chatbot can answer consumers’ questions to help them understand what happened. Depending on its design, it could discuss the item’s location or estimate delivery dates. How Integration Could Enhance AI’s Capabilities While AI is powerful on its own, companies could see significant improvements after integration. For example, embedding a machine learning model into a surveillance system or camera doorbell could help recipients identify porch pirates or misbehaving delivery drivers. This way, they could potentially narrow down the location of their missing item. An AI-powered computer vision system — an AI-powered device that can interpret visual information — could do something similar, monitoring production lines and automatic sorting machines for misplaced parcels. If something falls off of a belt, gets stuck under another container or slips between a crack in the machine, it could alert a human worker. Integrations can even help in transit. Combining AI and IoT sensors enables real-time updates on a product’s condition and location. Recipients could receive alerts if their item is tampered with, dropped off at the wrong location or stolen. The algorithm would filter out false positives and concisely explain what happened. Could AI Prevent Packages From Getting Lost? While finding missing parcels is an excellent use of a machine learning model, stopping this problem at the source is a more effective solution. Companies could prevent products from getting lost in the first place by leveraging chatbots for communication. The higher the success rate for the first delivery attempt, the less likely the item will disappear from the system. Decision-makers could also optimize routes to reduce workers’ stress. Demand has far outpaced the workforce’s capabilities — experts predict e-commerce sales will reach over $8 trillion in sales by 2027, a 237% increase in one decade — which puts pressure on drivers to haul more boxes and complete routes faster. Companies increasingly hire freelance and gig workers to compensate for their labor shortage. These workers are often paid by the number of packages they deliver, incentivizing them to race through their routes. Using AI to optimize their trip saves them time, lowering the chance they will make mistakes in transit. The Bottom Line of Using AI to Track Orders Although AI is not a miracle technology, it is one of the best solutions on the market for this problem. Processing centers and delivery drivers need something that can process information rapidly, output responses in natural language and interact with multiple people simultaneously. It’s November, which means the holiday season has started — and with it, an influx of online orders. It’s November, which means the holiday season has started — and with it, an influx of online orders. Most consumers who have ordered something online have experienced delays, failed delivery attempts or worse — lost packages. Frankly, tracking numbers and text message updates aren’t cutting it. Could artificial intelligence finally provide a solution to this problem? Most consumers who have ordered something online have experienced delays, failed delivery attempts or worse — lost packages. Frankly, tracking numbers and text message updates aren’t cutting it. Could artificial intelligence finally provide a solution to this problem? Packages Are Going Missing and It’s a Problem Packages Are Going Missing and It’s a Problem A package is supposed to arrive today. The person who placed the order watches their front door like a hawk after their app’s tracker changes from “shipping” to “out for delivery.” The estimated delivery time comes and goes — and nothing gets dropped off. Their phone pings with a “Sorry we missed you” message. What happened? Situations like these are common. Whether the seller reschedules, a delivery driver skips part of their route to save time or a porch pirate swoops in at the last second, parcels go missing all the time. In 2023, almost 40% of people in the United States had at least one package stolen. This problem is challenging to remedy simply because the delivery network is massive. almost 40% of people almost 40% of people Accurately tracking missing orders is possible, but it is a tall order with today’s technical limitations. Companies must monitor warehouse workers, drivers and vehicles. Not to mention, they must handle fraud cases where customers claim to have received nothing when, in reality, they did. Even in ideal circumstances, accidents happen — a small envelope could fall behind the sorting machine or get stuck under a larger box. Even when shipments eventually reach the right address, they stay in the delivery network too long. According to the United States Postal Service (USPS), 17.3% of first-class mail was not delivered on time in the second quarter of the fiscal year 2024, up 3.2 percentage points from the previous quarter. Rates for marketing mail and periodicals also worsened. 17.3% of first-class mail 17.3% of first-class mail The number of parcels going missing in the reverse logistics process is often overlooked. Around 30% of all online orders are sent back, compared to just 9% in brick-and-mortar stores. A disappearing parcel is particularly frustrating here, as the person attempting the return may be denied a refund or end up on the hook for the full price of the item. 30% of all online orders 30% of all online orders Why Use AI to Track People’s Missing Packages? AI is a powerful technology. A single advanced algorithm can process massive datasets, make data-driven decisions and understand language, regardless of whether it is a chatbot, generative algorithm or deep learning model. Training determines its purpose and behavior, so it can be utilized in virtually any use case. Versatility is useful when analyzing data since processing centers can produce billions of drop-off images or location data points in short periods. There is even more to go through if they use Internet of Things (IoT) tools or telematics systems in their fleets. AI can respond to prompts with voice, image, text or audio output, streamlining information retrieval and summary. Only a technology like AI can handle all the data created by the delivery network’s massive, interconnected system of sellers, fleets, customers and warehouses. Its rapid analysis isn’t its only boon — it also has automation capabilities. An advanced model can operate around the clock without stopping for breaks, food or sleep. Is AI Already Being Used to Track Packages? Several delivery companies are already using AI to track shipments in transit. For instance, the United Parcel Service uses an AI-enabled supply chain. It uses historical and real-time data to calculate the fastest, safest way to boost the on-time delivery rate. Its algorithm can also anticipate disruptions and provide a comprehensive view of the fleet’s network. uses historical and real-time data uses historical and real-time data If other firms deploy AI at the edge — at the network’s boundary where data is created — they wouldn’t have to build data centers to process or analyze the massive amount of logistics information they receive. On top of using fewer computing resources, they’d enable real-time results with little to no delay, improving output accuracy. In a different approach, USPS uses an AI-enabled edge computing program powered by NVIDIA technology. Its model analyzes billions of images that the processing center generates. Before, finding a missing order took a team of up to 10 people multiple days. With this platform, a single individual can track one down in around two hours. team of up to 10 people team of up to 10 people 4 Ways AI Can Track Stolen and Lost Packages There are several ways AI can help people track their missing parcels. 1. Provide Real-Time Updates Even with a tracking number, updates are often too vague, inaccurate or outdated to be helpful. According to one survey, nine in 10 people want to be able to track their order, with 47% wanting to know exactly where their item is at all times. AI can fulfill this desire, providing real-time updates as shipments travel. nine in 10 people nine in 10 people 2. Calculate Delivery Estimate Since as many as 20% of deliveries fail on the first attempt, reschedules are common. While most people wait a few extra days, some don’t receive their items for weeks or months. With AI, they can see how long it will take for a driver to reattempt delivery. The algorithm can factor in variables like weather, consumer demand, route closures and delays. as many as 20% of deliveries as many as 20% of deliveries 3. Analyze the Drop-Off Photos An AI could leverage image recognition technology to analyze millions of drop-off photos. It can flag the delivery as incorrect or suspicious if it notices any discrepancies. If there are enough clues in the photo’s visual details or metadata, the model could help workers track down the missing parcel. 4. Answer Peoples’ Questions Globally, 46% of online shoppers expect to receive their orders within two to three days. However, delays, reschedules and cancellations are common. When these situations arise, an AI-powered chatbot can answer consumers’ questions to help them understand what happened. Depending on its design, it could discuss the item’s location or estimate delivery dates. 46% of online shoppers 46% of online shoppers How Integration Could Enhance AI’s Capabilities While AI is powerful on its own, companies could see significant improvements after integration. For example, embedding a machine learning model into a surveillance system or camera doorbell could help recipients identify porch pirates or misbehaving delivery drivers. This way, they could potentially narrow down the location of their missing item. An AI-powered computer vision system — an AI-powered device that can interpret visual information — could do something similar, monitoring production lines and automatic sorting machines for misplaced parcels. If something falls off of a belt, gets stuck under another container or slips between a crack in the machine, it could alert a human worker. Integrations can even help in transit. Combining AI and IoT sensors enables real-time updates on a product’s condition and location. Recipients could receive alerts if their item is tampered with, dropped off at the wrong location or stolen. The algorithm would filter out false positives and concisely explain what happened. Could AI Prevent Packages From Getting Lost? While finding missing parcels is an excellent use of a machine learning model, stopping this problem at the source is a more effective solution. Companies could prevent products from getting lost in the first place by leveraging chatbots for communication. The higher the success rate for the first delivery attempt, the less likely the item will disappear from the system. Decision-makers could also optimize routes to reduce workers’ stress. Demand has far outpaced the workforce’s capabilities — experts predict e-commerce sales will reach over $8 trillion in sales by 2027, a 237% increase in one decade — which puts pressure on drivers to haul more boxes and complete routes faster. reach over $8 trillion in sales reach over $8 trillion in sales Companies increasingly hire freelance and gig workers to compensate for their labor shortage. These workers are often paid by the number of packages they deliver, incentivizing them to race through their routes. Using AI to optimize their trip saves them time, lowering the chance they will make mistakes in transit. The Bottom Line of Using AI to Track Orders Although AI is not a miracle technology, it is one of the best solutions on the market for this problem. Processing centers and delivery drivers need something that can process information rapidly, output responses in natural language and interact with multiple people simultaneously.

AI Can Help Track Your Missing Packages

Mr. Chennupati is a name that resonates profoundly within the dynamic world of cloud computing. Known for his strategic acumen and technical prowess, he has carved out an impressive career characterized by transformative cloud architecture, migration, and optimization projects. Mr. Chennupati brings over 14 years of extensive experience in collaborating with enterprise-level firms. His journey spans multiple sectors, including data storage, healthcare, security, SaaS, Cloud, AI, and IT consulting. As a forward-thinking leader, Mr. Chennupati has successfully guided numerous enterprises in harnessing cloud computing to meet their goals. His expertise lies particularly in cloud architecture, migration, and optimization, which he tailors to align with business objectives while staying ahead of industry trends. His work in cloud migration has been recognized with accolades such as the Oracle Innovation Award, underscoring his innovative contributions to the field. Early Career and Foundational Experiences In his lead roles at Coupa Software, Centene Corporation, and Veritas Technologies, Mr. Chennupati played a pivotal part in executing complex cloud migrations, each presenting unique challenges. At Coupa, he led the migration of travel applications to Coupa SaaS Platform, ensuring zero disruption by conducting staged migrations and thorough functionality checks. This meticulous approach guaranteed a seamless transition, maintaining operational continuity. At Centene, Mr. Chennupati effectively addressed the challenge of migrating 45 million enrollment member records from RedHat OpenShift to AWS Elastic Kubernetes Service (EKS). He created the architecture design for this large-scale migration, ensuring a smooth and efficient transition. He emphasized the importance of compliance and implementing stringent encryption and robust access controls to meet HIPAA standards. Similarly, at Veritas, he oversaw the migration of critical applications for 80,000 customers, leveraging advanced real-time data replication and rigorous pre-migration testing to transition to Oracle Cloud smoothly. These strategic efforts not only minimized risks and ensured regulatory compliance but also enhanced scalability, driving business growth and technological advancement. Planning and Executing Large-scale Cloud Migrations Mr. Chennupati’s approach to cloud migration can be best described as both meticulous and strategic. Leading the migration from OpenShift to AWS EKS at Centene Corporation, he focused on efficiency, security, and compliance. His approach began with a thorough assessment of applications and dependencies, followed by a phased migration plan. "I configured a parallel AWS environment, replicating our existing setup, and set up VPCs, IAM roles, and security groups," he explains. Critical applications were containerized with Docker, ensuring seamless deployment. Post-migration, security assessments using AWS CloudWatch, Prometheus, Grafana and ELK stack to ensure everything functioned correctly. Ensuring HIPAA compliance was a top priority, with optimized data security measures integrated throughout the process. This strategic migration significantly enhanced operational agility, reduced costs, and improved both scalability and security, showcasing Mr. Chennupati’s expertise in managing large-scale cloud migrations with minimal disruption. Key Strategies for Success Drawing from extensive experience in cloud migrations, Mr. Chennupati has developed a set of key strategies crucial for companies looking to move significant operations to the cloud. He recommends starting with a thorough initial assessment to evaluate the current IT setup, determining what can move to the cloud and what needs updating. "Define your performance, security, and compliance goals," he advises. Creating a phased migration plan focusing on critical applications can minimize disruptions. Selecting the appropriate cloud model and service model based on specific needs is essential for a successful transition. Mr. Chennupati also stresses the importance of implementing robust security measures like encryption and firewalls and ensuring regulatory compliance. "Utilize cloud provider migration tools, train your IT staff, and manage change effectively," he adds. Post-migration, continuous optimization of the cloud setup, and developing comprehensive disaster recovery strategies are crucial for sustained efficiency and security. These steps collectively ensure a smooth transition and a robust cloud environment. The Oracle Award project The Oracle Award for Innovation was bestowed upon Mr. Chennupati for his exemplary work in migrating Veritas Technologies' extensive data centers to Oracle Cloud Infrastructure (OCI). This project involved the seamless transition of critical systems, including WebLogic, SOA, and Oracle ERP applications for over 80,000 customers. "We successfully transitioned key systems, ensuring no disruption to daily operations," Mr. Chennupati explains. Key strategies included a custom migration plan with tailored tools and seamless data synchronization using Oracle’s replication technology. Additionally, optimized load management through OCI’s load balancing and robust security with advanced encryption and access controls were crucial. Post-migration, efficiency was enhanced, and comprehensive monitoring was established to maintain stability and reliability. These innovations set a new standard for large-scale cloud migrations, showcasing Mr. Chennupati’s ability to drive significant technological advancements. Optimization and Innovation in Cloud Solutions The approach to optimizing cloud solutions is both methodical and innovative in Mr. Chennupati’s work. "We leveraged AWS Auto Scaling and Azure Autoscale to dynamically fine-tune resources, seamlessly aligning with fluctuating demand while optimizing expenditures," Mr. Chennupati explains. He also implements real-time data replication and load management, significantly improving user experience and system robustness. By employing Amazon CloudFront and Azure CDN, he drastically cuts latency and boosts performance. “Tools like AWS Cost Explorer and Azure Cost Management were instrumental in reshaping our financial strategies, eliminating wasteful spending by pinpointing underutilized resources,” he adds. Through continuous monitoring and intelligent data stewardship, their cloud infrastructure now exemplifies operational excellence and fiscal prudence. Addressing Misconceptions and Pitfalls in Cloud Migrations Cloud migration often involves numerous misconceptions, particularly regarding its complexity and cost management. To address these issues, Mr. Chennupati conducts thorough pre-migration assessments to ensure applications are cloud-compatible and educates teams on proactive resource monitoring to control expenses. "I integrate specific security measures and compliance protocols right from the start," he explains, emphasizing a custom approach to security concerns. Additionally, comprehensive training and change management are essential to ease staff transition. Post-migration, Mr. Chennupati focuses on continuous optimization and monitoring to ensure the cloud setup aligns with organizational goals. This holistic strategy not only prevents common pitfalls but also maximizes the benefits of cloud migration. Evolution and Future of Cloud Architecture Reflecting on the evolution of cloud architecture, Mr. Chennupati notes the significant transformations from basic storage and SaaS applications to robust IaaS and PaaS capabilities within complex hybrid and multi-cloud systems. "This growth has been fueled by advances in serverless computing, containerization, and microservices," he observes. These innovations have dramatically improved scalability and management efficiency, fundamentally changing the landscape of cloud computing. Looking to the future, Mr. Chennupati predicts that cloud architecture will increasingly prioritize sustainability, aiming to minimize the environmental impact of data center operations. The integration of quantum computing is expected to bring extraordinary processing power, revolutionizing data handling and processing. Multi-cloud environments will become more prevalent, demanding improved interoperability across platforms. Furthermore, AI's role will expand into more complex system automation, real-time analytics, and sophisticated security protocols to counter advanced cyber threats. "In the next five years, these innovations will propel cloud solutions to be more automated, secure, and transformative," Mr. Chennupati asserts. Mr. Chennupati’s expertise in cloud computing has consistently driven significant advancements and innovations in the field. His ability to lead large-scale migrations and optimize cloud solutions has transformed operations for numerous organizations, setting new benchmarks for efficiency and security. From integrating businesses at Coupa Software to pioneering migration strategies recognized by Oracle, Mr. Chennupati’s work reflects a deep commitment to excellence and continuous improvement. As cloud architecture continues to evolve, his forward-thinking approach and dedication to sustainability and automation position him as a key figure in shaping the future of cloud solutions. His journey serves as an inspiring example of how strategic vision and technical skill can create impactful, lasting change in the technology landscape. Mr. Chennupati is a name that resonates profoundly within the dynamic world of cloud computing. Known for his strategic acumen and technical prowess, he has carved out an impressive career characterized by transformative cloud architecture, migration, and optimization projects. Mr. Chennupati brings over 14 years of extensive experience in collaborating with enterprise-level firms. His journey spans multiple sectors, including data storage, healthcare, security, SaaS, Cloud, AI, and IT consulting. As a forward-thinking leader, Mr. Chennupati has successfully guided numerous enterprises in harnessing cloud computing to meet their goals. His expertise lies particularly in cloud architecture, migration, and optimization, which he tailors to align with business objectives while staying ahead of industry trends. His work in cloud migration has been recognized with accolades such as the Oracle Innovation Award, underscoring his innovative contributions to the field. Early Career and Foundational Experiences In his lead roles at Coupa Software, Centene Corporation, and Veritas Technologies, Mr. Chennupati played a pivotal part in executing complex cloud migrations, each presenting unique challenges. At Coupa, he led the migration of travel applications to Coupa SaaS Platform, ensuring zero disruption by conducting staged migrations and thorough functionality checks. This meticulous approach guaranteed a seamless transition, maintaining operational continuity. At Centene, Mr. Chennupati effectively addressed the challenge of migrating 45 million enrollment member records from RedHat OpenShift to AWS Elastic Kubernetes Service (EKS). He created the architecture design for this large-scale migration, ensuring a smooth and efficient transition. He emphasized the importance of compliance and implementing stringent encryption and robust access controls to meet HIPAA standards. Similarly, at Veritas, he oversaw the migration of critical applications for 80,000 customers, leveraging advanced real-time data replication and rigorous pre-migration testing to transition to Oracle Cloud smoothly. These strategic efforts not only minimized risks and ensured regulatory compliance but also enhanced scalability, driving business growth and technological advancement. Planning and Executing Large-scale Cloud Migrations Mr. Chennupati’s approach to cloud migration can be best described as both meticulous and strategic. Leading the migration from OpenShift to AWS EKS at Centene Corporation, he focused on efficiency, security, and compliance. His approach began with a thorough assessment of applications and dependencies, followed by a phased migration plan. "I configured a parallel AWS environment, replicating our existing setup, and set up VPCs, IAM roles, and security groups," he explains. Critical applications were containerized with Docker, ensuring seamless deployment. Post-migration, security assessments using AWS CloudWatch, Prometheus, Grafana and ELK stack to ensure everything functioned correctly. Ensuring HIPAA compliance was a top priority, with optimized data security measures integrated throughout the process. This strategic migration significantly enhanced operational agility, reduced costs, and improved both scalability and security, showcasing Mr. Chennupati’s expertise in managing large-scale cloud migrations with minimal disruption. Key Strategies for Success Drawing from extensive experience in cloud migrations, Mr. Chennupati has developed a set of key strategies crucial for companies looking to move significant operations to the cloud. He recommends starting with a thorough initial assessment to evaluate the current IT setup, determining what can move to the cloud and what needs updating. "Define your performance, security, and compliance goals," he advises. Creating a phased migration plan focusing on critical applications can minimize disruptions. Selecting the appropriate cloud model and service model based on specific needs is essential for a successful transition. Mr. Chennupati also stresses the importance of implementing robust security measures like encryption and firewalls and ensuring regulatory compliance. "Utilize cloud provider migration tools, train your IT staff, and manage change effectively," he adds. Post-migration, continuous optimization of the cloud setup, and developing comprehensive disaster recovery strategies are crucial for sustained efficiency and security. These steps collectively ensure a smooth transition and a robust cloud environment. The Oracle Award project The Oracle Award for Innovation was bestowed upon Mr. Chennupati for his exemplary work in migrating Veritas Technologies' extensive data centers to Oracle Cloud Infrastructure (OCI). This project involved the seamless transition of critical systems, including WebLogic, SOA, and Oracle ERP applications for over 80,000 customers. "We successfully transitioned key systems, ensuring no disruption to daily operations," Mr. Chennupati explains. Key strategies included a custom migration plan with tailored tools and seamless data synchronization using Oracle’s replication technology. Additionally, optimized load management through OCI’s load balancing and robust security with advanced encryption and access controls were crucial. Post-migration, efficiency was enhanced, and comprehensive monitoring was established to maintain stability and reliability. These innovations set a new standard for large-scale cloud migrations, showcasing Mr. Chennupati’s ability to drive significant technological advancements. Optimization and Innovation in Cloud Solutions The approach to optimizing cloud solutions is both methodical and innovative in Mr. Chennupati’s work. "We leveraged AWS Auto Scaling and Azure Autoscale to dynamically fine-tune resources, seamlessly aligning with fluctuating demand while optimizing expenditures," Mr. Chennupati explains. He also implements real-time data replication and load management, significantly improving user experience and system robustness. By employing Amazon CloudFront and Azure CDN, he drastically cuts latency and boosts performance. “Tools like AWS Cost Explorer and Azure Cost Management were instrumental in reshaping our financial strategies, eliminating wasteful spending by pinpointing underutilized resources,” he adds. Through continuous monitoring and intelligent data stewardship, their cloud infrastructure now exemplifies operational excellence and fiscal prudence. Addressing Misconceptions and Pitfalls in Cloud Migrations Cloud migration often involves numerous misconceptions, particularly regarding its complexity and cost management. To address these issues, Mr. Chennupati conducts thorough pre-migration assessments to ensure applications are cloud-compatible and educates teams on proactive resource monitoring to control expenses. "I integrate specific security measures and compliance protocols right from the start," he explains, emphasizing a custom approach to security concerns. Additionally, comprehensive training and change management are essential to ease staff transition. Post-migration, Mr. Chennupati focuses on continuous optimization and monitoring to ensure the cloud setup aligns with organizational goals. This holistic strategy not only prevents common pitfalls but also maximizes the benefits of cloud migration. Evolution and Future of Cloud Architecture Reflecting on the evolution of cloud architecture, Mr. Chennupati notes the significant transformations from basic storage and SaaS applications to robust IaaS and PaaS capabilities within complex hybrid and multi-cloud systems. "This growth has been fueled by advances in serverless computing, containerization, and microservices," he observes. These innovations have dramatically improved scalability and management efficiency, fundamentally changing the landscape of cloud computing. Looking to the future, Mr. Chennupati predicts that cloud architecture will increasingly prioritize sustainability, aiming to minimize the environmental impact of data center operations. The integration of quantum computing is expected to bring extraordinary processing power, revolutionizing data handling and processing. Multi-cloud environments will become more prevalent, demanding improved interoperability across platforms. Furthermore, AI's role will expand into more complex system automation, real-time analytics, and sophisticated security protocols to counter advanced cyber threats. "In the next five years, these innovations will propel cloud solutions to be more automated, secure, and transformative," Mr. Chennupati asserts. Mr. Chennupati’s expertise in cloud computing has consistently driven significant advancements and innovations in the field. His ability to lead large-scale migrations and optimize cloud solutions has transformed operations for numerous organizations, setting new benchmarks for efficiency and security. From integrating businesses at Coupa Software to pioneering migration strategies recognized by Oracle, Mr. Chennupati’s work reflects a deep commitment to excellence and continuous improvement. As cloud architecture continues to evolve, his forward-thinking approach and dedication to sustainability and automation position him as a key figure in shaping the future of cloud solutions. His journey serves as an inspiring example of how strategic vision and technical skill can create impactful, lasting change in the technology landscape.

Cloud Architecture and Migration: The Expertise and Achievements of Anand Kumar Chennupati

Cloudová architektura a migrace: Odbornost a úspěchy Ananda Kumara Chennupatiho

Skyarkitektur og migration: Anand Kumar Chennupatis ekspertise og resultater

Cloud-Architektur und -Migration: Das Fachwissen und die Erfolge von Anand Kumar Chennupati

Arquitectura y migración a la nube: la experiencia y los logros de Anand Kumar Chennupati

クラウド アーキテクチャと移行: Anand Kumar Chennupati の専門知識と実績

Architecture ya mapata mpe migration: Expertise mpe ba réussites ya Anand Kumar Chennupati

Seni Bina Awan dan Migrasi: Kepakaran dan Pencapaian Anand Kumar Chennupati

د کلاوډ معمارۍ او مهاجرت: د آنند کمار چینوپتي تجربه او لاسته راوړنې

Bulut arhitekturasy we göç: Anand Kumar Chennupatiniň tejribesi we üstünlikleri

Хмарна архітектура та міграція: досвід і досягнення Ананда Кумара Ченнупаті

کلاؤڈ آرکیٹیکچر اور ہجرت: آنند کمار چینوپتی کی مہارت اور کامیابیاں

Kiến trúc đám mây và di chuyển: Chuyên môn và thành tựu của Anand Kumar Chennupati

What a difference one presidential mandate makes, 35,064 little hours. You see, I didn’t ask how the outcome of the 2024 presidential election would impact the Bitcoin price. This time, the tables have turned. Bitcoin has become a legit voter. Its voting power is undeniable. If one golden retriever can influence the second presidential debate, then imagine what the Bitcoin voting machine can do. This story is unbiased because I don’t have a horse in this race. My dreams of the first true crypto president died when I wrote A Requiem for John David McAfee. But, in the meantime, you can hardly find someone who is referring to the crypto voters as ‘so-called,’ although the quotation marks are still being used. What About CryptoBros? Where Their Money Goes? According to an analysis by Public Citizen, nearly half of all corporate money during this election cycle is coming from the crypto industry. Data provided to The New Republic from Open Secrets adds some staggering details: Crypto companies have spent over $121 million to sway elections during this cycle. By comparison, since the Citizens United ruling in 2010, the fossil fuel industry has collectively spent $176 million over 14 years of election cycles. You can look at these numbers and call it a day because you believe you know how the whole election game is going to play (out). But, these aren’t the only numbers worthy of our attention. What about the Bitcoin price history? It speaks volumes, doesn’t it? Trump already made a bold promise to turn the U.S. into the “crypto capital of the planet.” It seems that his NFT trading cards weren’t convincing enough. So, there’s more. He also plans to launch a crypto platform under the name World Liberty Financial, which will be run by his sons Eric and Donald Jr. That’s nice, but the timing is a bit very convenient. His speech will come 50 days before Election Day, an extraordinary use of dwindling campaign time to promote a personal business. The Republican former president has long mixed his political and business interests and marketed sneakers, photo books and Trump-branded Bibles during his 2024 campaign. The latest of Trump’s ‘pledges of crypto allegiance,’ most definitely not the last, “have begun to rattle some of Trump’s allies within the crypto world. They’re warning that his family should shelve a project that they say creates unnecessary political risks and reflects poorly on the industry. The drama illustrates the risks associated with Trump’s growing embrace of the crypto community, which he’s promised to give a sweeping set of supportive policies if elected. Government watchdogs have also warned the intertwining of politics, policy and the Trump family business poses new conflict of interest.” It would be wrong to think that the CryptoBros are still labeling the Biden administration as being unfriendly to the industry. Yes, there were some troubles in a Democratic crypto paradise when “the Security and Exchange Commission’s (SEC’s) crackdown on the industry began about two years ago, following the collapse of FTX, the world’s third-largest crypto exchange at the time. The SEC responded by hitting top crypto firms with a wave of lawsuits, accusing them of bypassing fundamental investor protections.” You should know that “in August, industry executives met with Harris’s team in a conference call organized by Representative Ro Khanna, who has received nearly $250,000 in political donations from industry; only Gillibrand has received more cash from crypto, according to data provided to TNR from Open Secrets. Harris has been endorsed by Ron Conway and Chris Larsen, the co-founder of Ripple.” Let’s Stay on Bitcoin’s Path and Do The Math It’s easy to go astray when analyzing crypto’s role in the 2024 presidential election. Bitcoin isn’t the only crypto elephant in the election room, but it’s the biggest and most influential by far. So, let’s stick to it. All predictions and news headlines are wild and contradictory at the same time. That’s how you end up with a headline like this: “A Trump victory could send bitcoin to $125,000, but new records are likely no matter who wins election, says Standard Chartered.” But then, almost at the same time, you get hit by this one: “Bitcoin price fell as the presidential debate began. The price of bitcoin began falling during the U.S. presidential debate Tuesday night, losing almost 4% by the time it hit a low Wednesday morning.” Then, there’s a respectably influential community, I like to call “regardless investors.” Some of them made these very strong “regardless” arguments, such as this one: “Do I think we’ll be in the six figures by 2025? Almost certainly. Do I think we’ll be in the six figures regardless of who wins? Almost certainly,” said Steven Lubka, head of private clients and family offices at Swan Bitcoin. “Bitcoin has always been an investment that is rooted more in the fiscal and monetary profile of countries, sovereigns and the United States. Neither candidate changes that.” I also stumble upon another one that wants to make sure that neither candidate really means neither: “Fears that a Kamala Harris presidency would somehow limit the price of bitcoin or drive it lower are overblown,” said James Davies, co-founder at crypto trading platform Crypto Valley Exchange. “Some of our communities … have become echo chambers and are convinced the sky will fall if one side or the other wins. The truth is that the market is robust, not centered on the U.S., and hasn’t reacted negatively to major events from either side.” So, Bitcoin has no reason to be restless because of “regardless?” Right? Well, it’s not that simple. Bitcoin, Do Not Worry About Elections, Beware of Emotions! It would be naive to think that the crypto community is monolithic when it comes to politics, including its biggest Bitcoin tribe. “Politico” is warning us about “crypto’s civil war over the 2024 elections:” Democratic crypto lobbyists, executives and investors say the industry is at risk of leaning too far right as its leaders come out in force for GOP presidential nominee Donald Trump, who is promising policies that would boost digital asset firms. Their Republican counterparts say engaging with Democratic nominee Kamala Harris and backing her party’s down-ballot candidates risks isolating long-time allies in the GOP, with little to no guarantee it will pay off. Perhaps, it would’ve been better for Bitcoin to stay away from this presidential election cycle, but with so much money already involved, so many promises already given, and expectations sky-high, I’m afraid it’s too late. What’s even worse, I’m afraid that the Bitcoin community will never be the same after the 47th President of the United States is officially inaugurated. It’s not the “crypto civil war” that I’m worried about, but the endless blaming game if the Bitcoin price stops climbing up after January 2025. So far, one thing about Bitcoin has always been true, it’s neither red nor blue. The 2024 presidential election can change that for good. The speculation and headlines have begun: Could November be “the Bitcoin Election”? Remember, remember, the 5th of November, Bitcoin, fiat treason and inflation plot. I see no reason Why Bitcoin 2024 election season Should ever be forgot. What a difference one presidential mandate makes, 35,064 little hours. You see, I didn’t ask how the outcome of the 2024 presidential election would impact the Bitcoin price. This time, the tables have turned. Bitcoin has become a legit voter. Its voting power is undeniable. If one golden retriever can influence the second presidential debate , then imagine what the Bitcoin voting machine can do. the second presidential debate This story is unbiased because I don’t have a horse in this race. My dreams of the first true crypto president died when I wrote A Requiem for John David McAfee . But, in the meantime, you can hardly find someone who is referring to the crypto voters as ‘so-called,’ although t he quotation marks are still being used . A Requiem for John David McAfee he quotation marks are still being used What About CryptoBros? Where Their Money Goes? According to an analysis by Public Citizen, nearly half of all corporate money during this election cycle is coming from the crypto industry. Data provided to The New Republic from Open Secrets adds some staggering details: Crypto companies have spent over $121 million to sway elections during this cycle. By comparison, since the Citizens United ruling in 2010, the fossil fuel industry has collectively spent $176 million over 14 years of election cycles. According to an analysis by Public Citizen, nearly half of all corporate money during this election cycle is coming from the crypto industry . Data provided to The New Republic from Open Secrets adds some staggering details: Crypto companies have spent over $121 million to sway elections during this cycle . By comparison, since the Citizens United ruling in 2010, the fossil fuel industry has collectively spent $176 million over 14 years of election cycles . Public Citizen, Public Citizen, nearly half of all corporate money during this election cycle is coming from the crypto industry The New Republic The New Republic Crypto companies have spent over $121 million to sway elections during this cycle Citizens United the fossil fuel industry has collectively spent $176 million over 14 years of election cycles You can look at these numbers and call it a day because you believe you know how the whole election game is going to play (out). But, these aren’t the only numbers worthy of our attention. What about the Bitcoin price history? It speaks volumes, doesn’t it? Trump already made a bold promise to turn the U.S. into the “ crypto capital of the planet .” It seems that his NFT trading cards weren’t convincing enough. So, there’s more. He also plans to launch a crypto platform under the name World Liberty Financial , which will be run by his sons Eric and Donald Jr. That’s nice, but the timing is a bit very convenient. crypto capital of the planet crypto capital of the planet World Liberty Financial World Liberty Financial His speech will come 50 days before Election Day, an extraordinary use of dwindling campaign time to promote a personal business. The Republican former president has long mixed his political and business interests and marketed sneakers, photo books and Trump-branded Bibles during his 2024 campaign. His speech will come 50 days before Election Day , an extraordinary use of dwindling campaign time to promote a personal business. The Republican former president has long mixed his political and business interests and marketed sneakers, photo books and Trump-branded Bibles during his 2024 campaign. 50 days before Election Day mixed his political and business interests The latest of Trump’s ‘pledges of crypto allegiance,’ most definitely not the last, “have begun to rattle some of Trump’s allies within the crypto world. They’re warning that his family should shelve a project that they say creates unnecessary political risks and reflects poorly on the industry. The drama illustrates the risks associated with Trump’s growing embrace of the crypto community , which he’s promised to give a sweeping set of supportive policies if elected. Government watchdogs have also warned the intertwining of politics, policy and the Trump family business poses new conflict of interest.” the risks associated with Trump’s growing embrace of the crypto community It would be wrong to think that the CryptoBros are still labeling the Biden administration as being unfriendly to the industry. Yes, there were some troubles in a Democratic crypto paradise when “the Security and Exchange Commission’s (SEC’s) crackdown on the industry began about two years ago, following the collapse of FTX, the world’s third-largest crypto exchange at the time. The SEC responded by hitting top crypto firms with a wave of lawsuits, accusing them of bypassing fundamental investor protections.” crackdown on the industry You should know that “in August, industry executives met with Harris’s team in a conference call organized by Representative Ro Khanna, who has received nearly $250,000 in political donations from industry; only Gillibrand has received more cash from crypto, according to data provided to TNR from Open Secrets . Harris has been endorsed by Ron Conway and Chris Larsen, the co-founder of Ripple.” met with met with according to data provided to TNR from Open Secrets Let’s Stay on Bitcoin’s Path and Do The Math It’s easy to go astray when analyzing crypto’s role in the 2024 presidential election. Bitcoin isn’t the only crypto elephant in the election room, but it’s the biggest and most influential by far. So, let’s stick to it. All predictions and news headlines are wild and contradictory at the same time. That’s how you end up with a headline like this: “A Trump victory could send bitcoin to $125,000 , but new records are likely no matter who wins election, says Standard Chartered.” But then, almost at the same time, you get hit by this one: “ Bitcoin price fell as the presidential debate began . The price of bitcoin began falling during the U.S. presidential debate Tuesday night, losing almost 4% by the time it hit a low Wednesday morning.” Trump victory could send bitcoin to $125,000 Bitcoin price fell as the presidential debate began price of bitcoin Then, there’s a respectably influential community, I like to call “regardless investors.” Some of them made these very strong “regardless” arguments, such as this one: “Do I think we’ll be in the six figures by 2025? Almost certainly. Do I think we’ll be in the six figures regardless of who wins? Almost certainly,” said Steven Lubka, head of private clients and family offices at Swan Bitcoin. “Bitcoin has always been an investment that is rooted more in the fiscal and monetary profile of countries, sovereigns and the United States. Neither candidate changes that.” “Do I think we’ll be in the six figures by 2025? Almost certainly. Do I think we’ll be in the six figures regardless of who wins ? Almost certainly,” said Steven Lubka, head of private clients and family offices at Swan Bitcoin . “Bitcoin has always been an investment that is rooted more in the fiscal and monetary profile of countries , sovereigns and the United States. Neither candidate changes that .” regardless of who wins said Steven Lubka, head of private clients and family offices at Swan Bitcoin an investment that is rooted more in the fiscal and monetary profile of countries Neither candidate changes that I also stumble upon another one that wants to make sure that neither candidate really means neither: “Fears that a Kamala Harris presidency would somehow limit the price of bitcoin or drive it lower are overblown,” said James Davies, co-founder at crypto trading platform Crypto Valley Exchange. “Some of our communities … have become echo chambers and are convinced the sky will fall if one side or the other wins. The truth is that the market is robust, not centered on the U.S., and hasn’t reacted negatively to major events from either side.” “Fears that a Kamala Harris presidency would somehow limit the price of bitcoin or drive it lower are overblown,” said James Davies, co-founder at crypto trading platform Crypto Valley Exchange . “Some of our communities … have become echo chambers and are convinced the sky will fall if one side or the other wins. The truth is that the market is robust, not centered on the U.S., and hasn’t reacted negatively to major events from either side.” said James Davies, co-founder at crypto trading platform Crypto Valley Exchange So, Bitcoin has no reason to be restless because of “regardless?” Right? Well, it’s not that simple. Bitcoin, Do Not Worry About Elections, Beware of Emotions! It would be naive to think that the crypto community is monolithic when it comes to politics, including its biggest Bitcoin tribe. “Politico” is warning us about “ crypto’s civil war over the 2024 elections :” crypto’s civil war over the 2024 elections Democratic crypto lobbyists, executives and investors say the industry is at risk of leaning too far right as its leaders come out in force for GOP presidential nominee Donald Trump, who is promising policies that would boost digital asset firms. Their Republican counterparts say engaging with Democratic nominee Kamala Harris and backing her party’s down-ballot candidates risks isolating long-time allies in the GOP, with little to no guarantee it will pay off. Democratic crypto lobbyists, executives and investors say the industry is at risk of leaning too far right as its leaders come out in force for GOP presidential nominee Donald Trump, who is promising policies that would boost digital asset firms. Their Republican counterparts say engaging with Democratic nominee Kamala Harris and backing her party’s down-ballot candidates risks isolating long-time allies in the GOP, with little to no guarantee it will pay off. is promising policies Perhaps, it would’ve been better for Bitcoin to stay away from this presidential election cycle, but with so much money already involved, so many promises already given, and expectations sky-high, I’m afraid it’s too late. What’s even worse, I’m afraid that the Bitcoin community will never be the same after the 47th President of the United States is officially inaugurated. It’s not the “crypto civil war” that I’m worried about, but the endless blaming game if the Bitcoin price stops climbing up after January 2025. So far, one thing about Bitcoin has always been true, it’s neither red nor blue. The 2024 presidential election can change that for good. The speculation and headlines have begun: Could November be “the Bitcoin Election”? The speculation and headlines have begun: Could November be “the Bitcoin Election”? The speculation and headlines have begun: Could November be “ the Bitcoin Election ”? the Bitcoin Election Remember, remember, the 5th of November, Bitcoin, fiat treason and inflation plot. I see no reason Why Bitcoin 2024 election season Should ever be forgot.

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