Coho AI's platform leverages the power of personalized user journeys to increase retention and LTV. Through real-time data analysis and advanced AI-driven segmentation to pinpoint the most effective actions to create meaningful user engagement. This tailored approach not only enhances conversion rates but also improves user retention by crafting personalized user journeys and orchestrating seamless multi-channel campaigns. By strategically engaging with users at pivotal moments across various channels, both inside and outside the product ecosystem, businesses can foster deeper connections, which leads to substantial uplift in customer lifetime value, driving strong and lasting revenue growth. Capitalizing on product usage data, intelligent segmentation, and user journeys, Coho AI transforms how SaaS companies manage their self-service conversion and pipeline, driving maximum revenue.

Coho AI

Picture this: two identical coffee shops at opposite corners of a quaint little town. The coffee beans? Sourced from the same Colombian farms. The espresso machines? Same exact models. The ambiance? Practically indistinguishable. Yet, one is thriving, and the other is barely scraping by. So, what sets them apart? Imagine walking into the thriving coffee shop. Mr. Anderson, a regular, walks in right behind you. The barista doesn't just know his order—a tall latte with a hint of vanilla—but also that he prefers almond milk, only on Tuesdays, and that his dog Max had surgery last week. After a quick chat, Mr. Anderson walks out, not just with his latte but also with a complimentary dog treat for Max. That's personalization, and it's precisely what SaaS companies must aim for. We are in a new era of customer relationships—the era of personalization. All the Features Look the Same… Features became commonplace, even mundane. They get replicated at a faster and more efficient rate than ever imagined. The very essence of software became democratized, leading to a paradox: the better the functionalities became, the less they seemed to matter. Consider Zoom. With a vast product offering tailored for different customer segments—businesses, individuals, students, and senior IT leaders— Do we think that Zoom will continue leading the market by providing better virtual meeting features? Here we are, drowning in features that look the same. What if the future of SaaS isn't in what the software can do, but instead in how well it knows what you need it to do? Consider the project management tool that recognizes when you're assigning too many tasks in the late hours of Friday evenings. What if, instead of bombarding you with a generic prompt or a 'how-to' guide, it suggests a more efficient delegation strategy for your next week, allowing you to enjoy a well-deserved weekend? The Crucial Nuances Once a company scales beyond the horizon of product-market fit, it starts noticing the subtleties among its customers. -   Some prefer receiving only critical updates, while others bask in the glory of every new feature. -   Some want to explore a product quietly before speaking with a salesperson, while others wish for immediate human interaction. -   Some expect different values from different product lines. -   Support? It's a whole new Pandora’s box. A user might want extensive documentation, while another requires one-on-one hand-holding. Thus, to maximize growth, it becomes clear that personalizing every single step of the customer journey is not just a luxury—it's a necessity. The Instagram Paradigm Instagram and YouTube have aced personalization in content delivery. Your Instagram feed is fundamentally different from your spouse's, offering a tailored universe. But can this paradigm be replicated when it comes to Marketing, Sales, Product, and Support in SaaS? The Path to Personalization and Revenue Growth So, how does one achieve this level of personalization when there are thousands of Mr. Andersons? At Coho AI, we've distilled it into a three-part symphony: First Movement: Data Consolidation and Normalization Firstly, gather all customer data into a robust, layered data model. -   Layer 1: Meta-data like job title, email, etc., often sourced from third parties. -   Layer 2: Relationship details like product tier, internal communication, sitting in your CRM, or user database. -   Layer 3: Product usage patterns, which require meticulous data collection and translation of raw UI, backend events, and user state. Second Movement: Auto-Segmentation and Actionable Insights Once data is consolidated and normalized, it's time for auto-segmentation. This process continuously evolves, refactoring new data points and allowing faster tailoring of customer experiences. Analyzing segmentations will allow us to learn based on the context of the user, identify leading indicators for desired outcomes, and construct actionable insights on every single user to achieve our goals. This is where insight turns into strategy. Third Movement: Real-Time Automation and Engagement Finally, let's bring in the cellos and violins—emails, pop-ups, feature flags, and a fully integrated subscription management system—all orchestrated in real-time, aimed at engaging the customer when it counts the most. The Standing Ovation Imagine a world where every interaction you have with a SaaS company feels like Mr. Andersons's experience at his favorite coffee shop. That's the kind of responsive, deeply personalized experience that not only fosters loyalty but also turns every user into an advocate. We are past the age of features. The new frontier lies in mastering the symphony of personalization, where every note is tailored to resonate with you—be it in customer support, product experience, or sales interaction. Undertaking this may seem overwhelming at first, but it genuinely doesn't have to be. The real challenge? Making the commitment to this shift and aspiring for your company to be the thriving coffee shop everyone raves about. As for the intricate details and next steps? Coho AI has got you covered, managing the heavy lifting with finesse.

Hello Mr. Anderson: Orchestrating Personalization in the World of SaaS

– that is the key ingredient to dominating your market and thriving in today’s cutthroat and competitive business ecosystem. As the world spins at an unprecedented rate, we see new brands emerging left and right, coupled with cutting-edge technologies that introduce disruptive shifts in the marketplace. Stay ahead of the game To remain relevant and achieve the coveted top-tier status, businesses must adapt and innovate continuously. Artificial Intelligence (AI) is undeniably a game-changer in this endeavor. Today, AI gets thrown around in every corner of any given industry. From optimizing sales processes, and streamlining operations, to boosting business growth, this tech breakthrough proves to be a cornerstone of innovation that’s here to stay for good. AI is no longer a buzzword; it's a strategic imperative for those looking to thrive, rather than merely survive. Here are 10 useful ways to use AI to accelerate your business: Data-Driven Decision Making Here’s where AI excels the most: gathering, processing, and analyzing data in a millisecond to push business leaders away from guesswork and lean toward data-driven decision-making. It is wise to utilize AI-powered analytics tools in your business processes, from identifying trends, and unlocking customer preferences, to deciphering market insights. In uncovering the treasure trove of your company’s data and transforming them into actionable insights, invest in AI-driven algorithm platforms that elevate conversion rates, optimize customer success, and identify the most promising prospects. A great example is Coho AI, a software that capitalizes on product usage data, intelligent segmentation, and user journey, equipping sales, operations, product, and customer success, with powerful AI-driven insights, and streamlining their processes through intelligent automation. There's an AI for that: Be a Master Dealmaker Dealmaking has evolved from simply reading a room and deciphering your prospects’ body language to a virtual world where you can only see an inch of their frames on your screen. Remote work has certainly paved the way for faster, rapid-fire deals, but has equally introduced a new set of challenges that dealmakers need to navigate through. With the lack of face-to-face interaction, intuitive understanding, and body language cues, dealmaking in the digital age relies heavily on data and technology, making AI an invaluable ally. Invest in behavioral intelligence tools to free yourself from the burden of reading your prospect’s non-verbal cues, empowering you to focus on the core aspects of dealmaking. These tools can analyze communication patterns, identify prospects' preferences, and assess their receptivity to various propositions – so you don’t have to. One tool that makes a difference is Novacy, an AI-powered behavioral intelligence platform, that helps B2B revenue teams close more deals by understanding their prospects' underlying perceptions by using audio, text, and body language analysis. There's an AI for that: Embrace Predictive Maintenance AI has been a saving grace for businesses with physical assets, both in costs and efficiency. By predicting whether a piece of equipment is on the verge of failure or requires maintenance, AI helps prevent costly downtime, extends the lifespan of assets, and reduces maintenance expenditures, ultimately improving the bottom line. Its impact on manufacturing and logistics is multifaceted, driving benefits that extend well beyond the shop floor. *__There's an AI for that: __*Uptake, a leader in predictive maintenance solutions, offers an AI-driven platform that empowers businesses to proactively manage their physical assets. Their software uses machine learning to analyze equipment data, predict maintenance needs, and provide actionable insights. By implementing Uptake's solution, businesses can significantly reduce maintenance costs, enhance asset reliability, and optimize their operations. Improved Marketing Campaigns In the ever-evolving world of marketing, AI can revolutionize your campaigns. AI-driven marketing tools can segment your audience, predict campaign performance, and optimize ad spending in real time. By ensuring your marketing efforts reach the right audience with the right message at the right time, AI can maximize ROI and elevate the impact of your campaigns. Emarsys is a powerful AI marketing platform that enables businesses to create highly personalized and data-driven marketing campaigns. It uses AI to analyze customer behavior, predict future actions, and automate marketing processes, ensuring that each interaction with your audience is highly relevant and effective. There's an AI for that: Supply Chain Optimization The pandemic has proven that supply chain management is a complex task that requires heavy technological support. In an increasingly globalized world, AI bridges this gap by providing real-time insights into your supply chain, from sourcing materials to ensuring on-time deliveries. It optimizes inventory, reduces transportation costs, and improves supply chain efficiency, ultimately impacting your bottom line positively. Leading this new dawn for the supply chain is Coupa, a global player in the continuous supply chain design, which leverages the power of AI and comprehensive data models. Its product, transforms design and analysis from one-off projects to a consistent and repeatable process, enabling businesses to adapt quickly to changing market conditions and reduce costs. There's an AI for that: Supply Chain Modeler, Fraud Detection and Prevention In an age of increasing cyber threats and financial fraud, AI can be an invaluable ally in safeguarding your business. Machine learning algorithms can detect unusual patterns and anomalies, preventing fraudulent transactions and securing your financial assets. An AI-driven fraud detection and prevention platform, Featurespace offers adaptive behavioral analytics to help companies identify and stop fraudulent activities in real time. This proactive tool’s smart technology can protect your business and your customers from financial fraud, which is a must-have in today’s era of data leaks and cybercrimes. There's an AI for that: Personalized Product Recommendations E-commerce businesses can harness AI to deliver personalized product recommendations. By analyzing customers' browsing and purchase history, AI can propose items that are more likely to resonate with individual customers, leading to increased sales and customer satisfaction. When it comes to AI-powered product recommendations, Amazon still leads the pack. As a global e-commerce giant, this platform boasts a cutting-edge recommendation engine that has substantially contributed to its success by providing customers with what they want when they want it. There's an AI for that: Human Resources Optimization AI can streamline various HR processes, from candidate screening and onboarding to employee engagement and performance management. Automation and data-driven insights enable HR professionals to focus on strategic activities, foster a more engaging employee experience, and drive higher retention rates. Workday, an AI-driven HR software, offers tools for talent acquisition, workforce management, and employee engagement. It uses AI to streamline HR processes, improve talent sourcing, and enhance the overall employee experience, ultimately contributing to higher retention rates and a more efficient HR department. : There's an AI for that Risk Management To say that change is constant is an understatement. In the modern business world, change and uncertainty are the norm, exposing companies to risks and vulnerabilities. This makes it high time for businesses to invest in AI-powered risk management solutions where its predictive capabilities can assess market fluctuations and regulatory changes, and enable companies to develop proactive risk mitigation strategies. When it comes to leveraging AI to analyze data from a myriad of sources, forecast potential risks that are often overlooked by humans, and provide actionable insights for decision-makers, RiskWatch is a reliable tool. This comprehensive AI-powered risk assessment management software provides advanced risk assessment and protection against threats that may ruin and tarnish your brand. There's an AI for that: Environmental Sustainability Currently, environmental consciousness is at its peak. From developing sustainable products, and optimizing energy efficiency and consumption to reducing carbon footprint, modern businesses are under increasing pressure to abide by these growing eco-friendly standards. In this eco-conscious era, AI is an indispensable tool that can assist businesses in reducing their environmental impact and embracing sustainability. OneTrust offers ESG and Sustainability Cloud that empowers organizations with the ability to define their core ESG metrics, track progress towards these goals, and foster trust with key stakeholders through enhanced transparency. There's an AI for that: Conclusion As AI technologies continue to advance, their role in business acceleration will only grow. Efficient and effective leaders know that incorporating AI into various operations is paramount to adapt to the ever-changing business landscape, enabling them to stay steps ahead of the game. Embracing AI is no longer a matter of “if” – it’s a matter of “when,” and those who act now will reap its benefits fast.

10 Useful Ways to Use AI to Accelerate Your Business

FTX + SBF Chapter 11 (Bankruptcy) Court Filing by John J. Ray III, Nov 17, 2022 is part of . You can jump to any part in this filing . This is part 15 of 20 HackerNoon’s Legal PDF Series here Feature Image: Midjourney AI, prompt “nothing to see here” III. ACTION TAKEN SINCE MR. BANKMAN-FRIED’S DEPARTURE I - Information and Retention of Documents 71. One of the most pervasive failures of the FTX.com business in particular is the absence of lasting records of decision-making. Mr. Bankman-Fried often communicated by using applications that were set to auto-delete after a short period of time, and encouraged employees to do the same. 72. The Debtors are writing things down. The investigative effort underway is led by myself and a team at Sullivan & Cromwell that reports directly to me, including a former Director of Enforcement at the SEC, a former Director of Enforcement at the CFTC, and a former Chief of the Complex Frauds and Cybercrime Unit of the United States Attorney’s Office for the Southern District of New York. I regard ensuring the comprehensiveness, professionalism and integrity of this investigation as an essential part of my job as Chief Executive Officer. 73. Transparency with regulators around the world is an important objective for the Debtors. Since Friday, the Debtors have been in contact with dozens of regulators throughout the United States and around the world, and will continue to be as these cases continue. Continue reading here

'One of the most pervasive failures (of FTX) is the absence of lasting records of decision-making'

'Una de las fallas más generalizadas (de FTX) es la ausencia de registros duraderos de la toma de decisiones'

"L'un des échecs les plus répandus (de FTX) est l'absence d'enregistrements durables de la prise de décision"

'सबसे व्यापक विफलताओं में से एक (FTX की) निर्णय लेने के स्थायी रिकॉर्ड का अभाव है'

「（FTXの）最も蔓延している失敗の1つは、意思決定の永続的な記録がないことです」

'Uma das falhas mais difundidas (do FTX) é a ausência de registros duradouros da tomada de decisões'

'Một trong những thất bại phổ biến nhất (của FTX) là không có hồ sơ lâu dài về việc ra quyết định'

“（FTX）最普遍的失败之一是缺乏持久的决策记录”

FTX + SBF Chapter 11 (Bankruptcy) Court Filing by John J. Ray III, Nov 17, 2022 is part of . You can jump to any part in this filing . This is part 14 of 20. HackerNoon’s Legal PDF Series here Feature Image: Midjourney Ai, Prompt “Assets & Investments” III. ACTION TAKEN SINCE MR. BANKMAN-FRIED’S DEPARTURE H - Custody of Other Assets and Investments 69. The FTX Group had billions in investments other than cryptocurrency, as suggested above in the descriptions of the four Silos. However, the main companies in the Alameda Silo and the Ventures Silo did not keep complete books and records of their investments and activities. 70. The Debtors are creating a balance sheet and other financial statements for the Alameda Silo and the Ventures Silo as of the Petition Date. The Debtors are doing so from the ‘bottom-up’ by using the records of cash transactions at the Debtors, and also are reviewing various third-party sources to locate investments. Continue reading here

FTX Invested in the Billions in many projects, but kept little to no records

FTX invirtió miles de millones en muchos proyectos, pero mantuvo pocos o ningún registro

FTX a investi des milliards dans de nombreux projets, mais n'a conservé que peu ou pas de dossiers

FTX ने कई परियोजनाओं में अरबों में निवेश किया, लेकिन कोई रिकॉर्ड नहीं रखा

FTXは多くのプロジェクトで数十億ドルを投資しましたが、記録をほとんどまたはまったく保持しませんでした

FTX investiu bilhões em muitos projetos, mas manteve pouco ou nenhum registro

FTX đã đầu tư hàng tỷ đô la vào nhiều dự án, nhưng giữ rất ít hoặc không có hồ sơ

FTX 在许多项目中投资了数十亿美元，但几乎没有记录

How AI and Blockchain are Converging: A Look into IVS Crypto 2024's Innovative Approach

এআই এবং ব্লকচেইন কীভাবে একত্রিত হচ্ছে: IVS ক্রিপ্টো 2024-এর উদ্ভাবনী পদ্ধতির দিকে একটি নজর

Wie KI und Blockchain zusammenwachsen: Ein Blick auf den innovativen Ansatz von IVS Crypto 2024

Cómo convergen la IA y Blockchain: una mirada al enfoque innovador de IVS Crypto 2024

Comment l'IA et la blockchain convergent : un aperçu de l'approche innovante d'IVS Crypto 2024

एआई और ब्लॉकचेन कैसे एक दूसरे से जुड़ रहे हैं: आईवीएस क्रिप्टो 2024 के अभिनव दृष्टिकोण पर एक नज़र

AIとブロックチェーンの融合: IVS Crypto 2024の革新的なアプローチを検証

AI와 블록체인이 융합되는 방식: IVS Crypto 2024의 혁신적인 접근 방식 살펴보기

Como a IA e o Blockchain estão convergindo: uma análise da abordagem inovadora do IVS Crypto 2024

Как ИИ и блокчейн объединяются: взгляд на инновационный подход IVS Crypto 2024

Yapay Zeka ve Blockchain Nasıl Birleşiyor: IVS Crypto 2024'ün Yenilikçi Yaklaşımına Bir Bakış

AI và Blockchain đang hội tụ như thế nào: Nhìn vào phương pháp tiếp cận đổi mới của IVS Crypto 2024

人工智能与区块链如何融合：了解 IVS Crypto 2024 的创新方法

Over the last few years, AI has revolutionized our lives by not just automating repetitive work but also seemingly developing the ability to "think" like a human being and tap into the creativity pool. Seriously, how many of you have used "Chat-GPT" to compose a poem or used "Suno" for another love song? Maybe it's time that we moved from a dark time when humans needed to be responsible for all the boring copy jobs to a more high-tech future where we are left to do the real killing, for example, negotiation and strategic planning. Data Scraping in The Era of AI Web scraping Tools with AI In modern times, we usually collect data online from one or multiple sources. The tedious process can be automated since the harvesting action is repetitive. To do this, there are many data collection tools available, or if you prefer, you can call them web scraping tools. Old ways of scraping data from the internet can be problematic because they rely on the HTML rule of the website to navigate to the target data. Once the HTML structure is changed, the scraping rule will be invalid. Not to mention modern websites tend to involve Javascript interaction to enhance user experience, which adds to the difficulty of getting the data precisely. With the help of AI, however, we can deal with website changes easily. Take one tool, for example. As a no-code-involved scraper tool, Octoparse is dedicated to integrating AI into its intuitive scraping interface. It leverages AI to improve the auto-detection of web page elements, making it easier for beginners to start scraping. The AI enhances the accuracy of identifying data fields, buttons, and other interactive elements on web pages, reducing the learning curve for new users. By simplifying the initial setup, users can quickly create effective scraping workflows without technical knowledge. For more advanced users, Octoparse's AI can assist in writing and adjusting scraping rules. Once trained, the AI can generate and modify the necessary code to accommodate changes in website structures. This capability ensures that scraping rules remain effective even as websites evolve, reducing the need for manual intervention and ongoing maintenance. Users can rely on the AI to handle complex adjustments, ensuring continuous data extraction with minimal disruptions. Robotic Process Automation (RPA) With AI There are also AI-based RPA tools (Robotic Process Automation) to automate any repetitive and regular steps within or between software and systems. “Robotic process automation is not a physical [or] mechanical robot,” says Chris Huff, chief strategy officer at Kofax. While it can mimic most human-computer interactions to carry out the most mundane and repetitive tasks and processes in the workplace, at high volume and speed. For example, imagine you need to move files from one place to another or conduct a freight booking. With AI joining automation, things can be done in a more intelligent way. For example, AI can help decide which document and file to be processed by using Natural Language Processing(NLP). AI can read and interpret the text and content, and categorize them for different automation workflows. We can also use simple natural language to talk with AI, so it can build the RPA workflow automatically for us according to our demands and even based on historical patterns and situations. The time when AI can be our powerful partner in life and at work has arrived! Data Analysis in The Era of AI Backed by the magic of machine learning, AI can process big and complex datasets and draw accurate predictions and insights by identifying patterns and anomalies. It's not just about crunching numbers. AI is getting way smarter than that nowadays. AI Data cleaning Since data is not always consistent in format and may include inaccuracy, AI can help with data cleaning and preprocessing by identifying anomalies such as duplicate entries, misspelled addresses, missing values, inconsistent formatting for locations, etc. Octoparse's AI also helps in the preliminary cleaning of extracted data. By applying AI algorithms to filter and refine the raw data, users can receive higher-quality outputs that are more useful for analysis. This automated cleaning process helps eliminate errors and inconsistencies, providing cleaner datasets that require less manual processing. As a result, users can focus on analyzing the data rather than spending time on tedious cleaning tasks. AI Data visualization AI can create interactive charts and graphs that reveal even the slightest change overlooked by the human eye. With real-time data constantly being fed to the AI system, the dashboard will reflect the latest trends and patterns for any prompt actions. For example, ThoughtSpot leverages AI and a search-driven interface to simplify data exploration and visualization. It connects to various data sources, consolidating information in one platform, and allows users to create logical data models that define relationships and context. By typing natural language queries into ThoughtSpot's search bar, users can have the AI interpret and fetch relevant data. The platform generates interactive charts, graphs, and dashboards based on these queries, which users can further customize. AI Data insights As humans, we excel at drawing insights from circumstances. But even the lowest level data analysts take a long time to master the skills of graph interpreting and data processing. Using AI, then, can greatly save us time and also the cost to get the insights we need. AI, with its powerful and fathomless NLP(Natural Language Processing) ability, can help us conduct predictive analysis as well as sentiment analysis. In E-commerce, AI-based data analysis solutions like Octoparse VOC help thousands of companies get a thorough understanding of how their products fare. From customer profile (who, when, where, why), positive/negative feedback to unmet needs and pre-purchase concerns, this tool(also including its extension) provides detailed information that can be crucial for later product development and marketing campaign direction. About price monitoring, some AI tools can make this process fast and easy. Competera is an AI-powered pricing platform designed to help retailers optimize pricing strategies. With algorithms and machine learning, it offers pricing optimization based on many factors like demand elasticity. It's clear that AI indeed plays a significant role in predictive analytics. By forecasting future patterns, AI-based data analyzing tools can help businesses stay ahead of the curve. Conclusion As AI learns and adapts, the era of data being a headache will be over. Humans, being the commanders, will be the ones to choose which possibility calculated by AI should be taken. Over the last few years, AI has revolutionized our lives by not just automating repetitive work but also seemingly developing the ability to "think" like a human being and tap into the creativity pool. Seriously, how many of you have used "Chat-GPT" to compose a poem or used "Suno" for another love song? Maybe it's time that we moved from a dark time when humans needed to be responsible for all the boring copy jobs to a more high-tech future where we are left to do the real killing, for example, negotiation and strategic planning. Data Scraping in The Era of AI Web scraping Tools with AI Web scraping Tools with AI In modern times, we usually collect data online from one or multiple sources. The tedious process can be automated since the harvesting action is repetitive. To do this, there are many data collection tools available, or if you prefer, you can call them web scraping tools . web scraping tools Old ways of scraping data from the internet can be problematic because they rely on the HTML rule of the website to navigate to the target data. Once the HTML structure is changed, the scraping rule will be invalid. Not to mention modern websites tend to involve Javascript interaction to enhance user experience, which adds to the difficulty of getting the data precisely. With the help of AI, however, we can deal with website changes easily. Take one tool, for example. As a no-code-involved scraper tool, Octoparse is dedicated to integrating AI into its intuitive scraping interface. It leverages AI to improve the auto-detection of web page elements, making it easier for beginners to start scraping. The AI enhances the accuracy of identifying data fields, buttons, and other interactive elements on web pages, reducing the learning curve for new users. By simplifying the initial setup, users can quickly create effective scraping workflows without technical knowledge. For more advanced users, Octoparse's AI can assist in writing and adjusting scraping rules. Once trained, the AI can generate and modify the necessary code to accommodate changes in website structures. This capability ensures that scraping rules remain effective even as websites evolve, reducing the need for manual intervention and ongoing maintenance. Users can rely on the AI to handle complex adjustments, ensuring continuous data extraction with minimal disruptions. Robotic Process Automation (RPA) With AI Robotic Process Automation (RPA) With AI There are also AI-based RPA tools (Robotic Process Automation) to automate any repetitive and regular steps within or between software and systems. AI-based RPA tools “Robotic process automation is not a physical [or] mechanical robot,” says Chris Huff, chief strategy officer at Kofax . While it can mimic most human-computer interactions to carry out the most mundane and repetitive tasks and processes in the workplace, at high volume and speed. For example, imagine you need to move files from one place to another or conduct a freight booking. Kofax With AI joining automation, things can be done in a more intelligent way. For example, AI can help decide which document and file to be processed by using Natural Language Processing(NLP). AI can read and interpret the text and content, and categorize them for different automation workflows. We can also use simple natural language to talk with AI, so it can build the RPA workflow automatically for us according to our demands and even based on historical patterns and situations. The time when AI can be our powerful partner in life and at work has arrived! Data Analysis in The Era of AI Backed by the magic of machine learning, AI can process big and complex datasets and draw accurate predictions and insights by identifying patterns and anomalies. It's not just about crunching numbers. AI is getting way smarter than that nowadays. AI Data cleaning AI Data cleaning Since data is not always consistent in format and may include inaccuracy, AI can help with data cleaning and preprocessing by identifying anomalies such as duplicate entries, misspelled addresses, missing values, inconsistent formatting for locations, etc. Octoparse 's AI also helps in the preliminary cleaning of extracted data. By applying AI algorithms to filter and refine the raw data, users can receive higher-quality outputs that are more useful for analysis. This automated cleaning process helps eliminate errors and inconsistencies, providing cleaner datasets that require less manual processing. As a result, users can focus on analyzing the data rather than spending time on tedious cleaning tasks. Octoparse AI Data visualization AI Data visualization AI can create interactive charts and graphs that reveal even the slightest change overlooked by the human eye. With real-time data constantly being fed to the AI system, the dashboard will reflect the latest trends and patterns for any prompt actions. For example, ThoughtSpot leverages AI and a search-driven interface to simplify data exploration and visualization. It connects to various data sources, consolidating information in one platform, and allows users to create logical data models that define relationships and context. By typing natural language queries into ThoughtSpot's search bar, users can have the AI interpret and fetch relevant data. The platform generates interactive charts, graphs, and dashboards based on these queries, which users can further customize. AI Data insights AI Data insights As humans, we excel at drawing insights from circumstances. But even the lowest level data analysts take a long time to master the skills of graph interpreting and data processing. Using AI, then, can greatly save us time and also the cost to get the insights we need. AI, with its powerful and fathomless NLP(Natural Language Processing) ability, can help us conduct predictive analysis as well as sentiment analysis. In E-commerce, AI-based data analysis solutions like Octoparse VOC help thousands of companies get a thorough understanding of how their products fare. From customer profile (who, when, where, why), positive/negative feedback to unmet needs and pre-purchase concerns, this tool(also including its extension) provides detailed information that can be crucial for later product development and marketing campaign direction. Octoparse VOC About price monitoring, some AI tools can make this process fast and easy. Competera is an AI-powered pricing platform designed to help retailers optimize pricing strategies. With algorithms and machine learning, it offers pricing optimization based on many factors like demand elasticity. It's clear that AI indeed plays a significant role in predictive analytics. By forecasting future patterns, AI-based data analyzing tools can help businesses stay ahead of the curve. Conclusion Conclusion As AI learns and adapts, the era of data being a headache will be over. Humans, being the commanders, will be the ones to choose which possibility calculated by AI should be taken.

How AI Automates Data Scraping and Data Analysis

কীভাবে এআই ডেটা স্ক্র্যাপিং এবং ডেটা বিশ্লেষণ স্বয়ংক্রিয় করে

Wie KI das Data Scraping und die Datenanalyse automatisiert

Cómo la IA automatiza la extracción y el análisis de datos

Comment l'IA automatise le grattage et l'analyse des données

AI डेटा स्क्रैपिंग और डेटा विश्लेषण को कैसे स्वचालित करता है

AIがデータスクレイピングとデータ分析を自動化する方法

AI가 데이터 스크래핑 및 데이터 분석을 자동화하는 방법

Como a IA automatiza a extração e análise de dados

Как ИИ автоматизирует сбор и анализ данных

Yapay Zeka, Veri Kazımayı ve Veri Analizini Nasıl Otomatikleştirir?

Cách AI tự động thu thập dữ liệu và phân tích dữ liệu

人工智能如何实现数据抓取和数据分析的自动化

2023 has become a year of a bear market and challenges for all blockchain projects, the financing of which depends on the value of cryptocurrencies. Blockchain business players are actively preparing for a bull run fueled by the recent adoption of Bitcoin ETFs, the potential adoption of Ethereum ETFs, and the upcoming Bitcoin halving. Despite the positive expectations for 2024, I’m concerned about conveying the blockchain's value and prospects to the mass user. As someone with a master's degree in sociology and management, I look at this technology through the lens of and its impact on interpersonal communications and the social economics. business and marketing I want to share my step-by-step observations of what is currently happening with blockchain technology in the context of mass adoption, perspectives, and action plans. This article is a must-read for Web3 builders, marketers, and all blockchain enthusiasts. I would appreciate your feedback and thoughts, and I would appreciate it if you shared this article with your friends on social media. We enter the Web3 reality, created by nerds and visionaries In high-tech markets, supply creates demand. Introducing new and innovative technologies can stimulate consumer demand, even if there is no initial need for these technologies. This idea challenges the traditional economic principle that demand precedes supply. Proposals are created by visionaries who find opportunities where no one else can. Henry Ford's quote perfectly describes the visionary approach: "If I only did what people wanted me to do, they would still be riding in carriages". In 1982, cryptographer planted the seed of a blockchain-like protocol, later nurtured by the ingenious minds of in 1991. David Chaum Stuart Haber and W. Scott Stornetta But the real breakthrough occurred in 2008 when the mysterious introduced the world to a white paper outlining the blueprint for a blockchain. Satoshi Nakamoto Since then, the rapid development of the modern blockchain began when visionaries and others put their innovative ideas into practice, creating the prerequisites for the development of the third-generation Internet, Web3. Vitalik Buterin, Anatoly Yakovenko, Gavin Wood, Web3 is an Internet concept that envisages broader decentralization, consolidation of the right to own content, and mass introduction of cryptocurrencies and other features provided by the blockchain. Many socio-economic requests can be satisfied because hundreds of millions of people will start behaving like Web3 users. Let's explore captivating examples of blockchain applications designed for the masses: ✅ Get more personal freedom with the help of cryptocurrencies that essentially deprive the institution of control over personal finances. ✅ Create transparent public procurement systems to which every country's citizen has access. Open data is stored in blockchain and distributed servers to avoid tampering and compromise. ✅ Implement a digital passport signature in a ZK-SNARK to prove that you are a unique citizen of a given country without revealing which citizen you are. ✅ Rebuild voting systems (both at the state level and the level of organizations) and make them resistant to tampering. ✅ Collectively finance the research of independent scientists (DeSci). This will reduce the oligopoly of corporations and focus on solving specific problems in medicine. While these use cases promise immense value, the gap between their potential and user understanding remains substantial. Blockchain and crypto remain distant and enigmatic concepts for most people Blockchain is still viewed with suspicion and ONLY associated with crypto. Ask your neighbour about the problems blockchain can solve or explore your child's school curriculum, searching for any mention of blockchain. In both cases, you're likely to find a void... Crypto is often seen as: 📈 An investment tool with high risks; 🌘 Instrument of the shadow economy and financing of suspicious organizations; 🏎️ A closed crypto-bro culture with Lamborghinis and private jets. Account Abstraction, Multi-Party Computation, and Advanced RPC sound attractive and promising for Web3 builders but not for users. The industry seems more focused on forcing users to grapple with technical intricacies rather than enchanting them with the results. Let's look at the blockchain industry through the concept and the approach. In that case, the industry tries to teach people to pick up the proper nails and drive them into the wall instead of offering a beautifully framed picture, bringing joy with every glance. Design Thinking Jobs To Be Done Even drop hunters, who increase a project's TVL daily, don't understand the essence of these projects. I had the opportunity to attend events dedicated to projects with a potential airdrop, and I saw that it's essential for people to perform the quest tasks but not to follow the Mission. If you remove the element of easy profit, the blockchain ideology is not very interesting and understandable to the average person. Techno-snobbery hinders mass adoption Despite the ideas of decentralization, transparency, and equality, the Web3 community resembles a closed, elitist club, where only motivated and technically savvy people who identify as Web3 Natives can enter. If you compare with AI, being a blockchain/crypto user is more difficult. Technical snobbery does not yet allow projects to communicate with a broad audience in the way that mass adoption requires. I have witnessed some blockchain and crypto project representatives condemn their competitors for “too Web2-oriented advertising campaigns". Promotion is impossible without storytelling. Coinbase's "Update the system" advertising campaign became illustrative for me. Due to techno snobbery, there is a lack of inspiring stories close to reality. Even though it is a regulated crypto exchange that has nothing to do with decentralization, it has found feedback in the hearts of crypto enthusiasts and mass users thanks to the right (people-oriented) insight and storytelling. As a marketing specialist who has worked at advertising agencies for 5 years and worked with Danone, Citroen, BNP Paribas, and others, I can say that Coinbase has not gone further in advertising creativity than a bank or an insurance company. But... Such long-term and global advertising campaigns still don’t happen in blockchain and cryptocurrencies. Amazingly? Not at all! Creating a strategic brand platform is a classic approach for many traditional companies, but it looks innovative and controversial in a fast-moving industry. From the marketing and communications side, the blockchain field is not mature and focused on techies. Blockchain was one of the most hyped technologies. Until AI has come… The superb work of bringing people and artificial intelligence together was done by , creating . Open AI Chat-GPT Did digital projects and products with AI exist until November 30, 2022? Sure! Many medical devices, tools for editing text and documents, photo editors, and more exist. However, only Chat-GPT could bring AI to the level where its advantages and disadvantages began to be discussed by mothers on playgrounds, and grey-haired university professors constantly boycotted the chatbot. Capturing people's heads and hearts happened like an avalanche, thanks to the familiar mechanics of creating search queries and a simple interface in the user's native language. It's a bit like magic, a kind of enchantment made accessible to millions simultaneously, offering instant results with minimal effort! If you compare blockchain with AI in the context of conveying the value of technology and communication with the mass consumer, then AI-powered projects get more ROI. Artificial intelligence dominates the discourse, finding its way into government agendas worldwide for integration into public administration systems. I know people who used to be crypto fans but switched to AI last year because of the hype. Human attention is a minimal resource, and AI as a technology has conquered it. If we compare these technologies according to mass interest, we see that the term "blockchain" has much less results in Google searches, and "artificial intelligence": Many environment protection organizations blame blockchain for negatively impacting nature, even after switching Ethereum to PoS. Only a few care that AI significantly increases carbon footprint and electronic waste. In the United States, data centres where AI models are trained are representing approximately 2% of the nation's total usage. These centres demand significantly more energy than standard office spaces, requiring 10 to 50 times more power per unit of floor area. But who cares? the major consumers of electricity, Companies and individuals see the results of AI-powered products, and they are too promising to slow down in AI integration. The EEE concept: Empathy, Everyday rituals, and Evangelism A systematic effort on promotion is vital to make blockchain more than a mere technological marvel. It demands the creation of a compelling narrative around the technology, weaving clear user cases that resonate with the masses. Technology should no longer be the star; instead, the tangible results of its integration into our daily rituals deserve the spotlight.It's not technology that should be promoted but the result of its use in everyday rituals. Companies and foundations need to attract and hire professionals who can combine to create value propositions for different groups of people. We can call them Yes, I didn't add it just like that in a religious context because the dissemination of knowledge about the potential of the blockchain should be at the level of the Bible, which is the most marketing-successful book of all time. empathy, ideology, marketing, product knowledge, and a business approach blockchain ambassadors, advertisers or even evangelists. Conditions are necessary so that one fine day, your mom tells you about a new convenient "crypto wallet for everything" that her colleagues recommended. Then, it can be considered that these blockchain ambassadors or "witnesses of the Web3 lifestyle" work well. As someone entrenched in product messaging and communications, I aspire to be one of these blockchain evangelists. My goal? To help companies systematically nurture relationships with users, empowering them to embrace blockchain daily in different cases. The crucial steps to make blockchain magnetic and accessible The development of the blockchain sector is tied to the value of cryptocurrencies, especially Bitcoin. So far, DeFi is the locomotive of blockchain use, which drags all other areas and industries along with it. The upcoming bull run will be the third one during my time in the industry, and I expect a significant increase in the number of DeFi projects that strive to make crypto more understandable and safe for the mass user. There is already a noticeable change in some companies' focus on improving UX, but it is still insufficient. To accelerate the mass adoption, we must put in much effort. Here is my list of recommendations from a marketing and communications perspective that can be transformed into an action plan: ✅ Bid farewell to the techno snobbery at all levels through balanced empathy and a human-oriented approach; ✅ Craft clear narratives, brand messages, and storytelling rooted in universal human needs; ✅ Amplify brand presence through consistent, long-term, multi-channel communication; ✅ Invest in building intuitive interfaces; ✅ Develop top-notch educational initiatives; ✅ Create content (movies, books, and even songs) that effortlessly goes viral, explaining the benefits of technology in simple words. Conclusion I'm happy to be a part of the blockchain industry and to observe and participate in its development. I'm open to working with projects that understand the importance of building relationships with different audiences and are willing to play the long game. The vast system work awaits us ahead! Read my previous entries about and Web3 Product-Market Fit and Marketing Strategy For Blockchain Startups in 2024 Exciting Brand Experiences With Account Abstraction: ERC-4337. Follow me on social media: , , and LinkedIn X . YouTube

How Do We Make Blockchain As Popular As AI?

কীভাবে আমরা ব্লকচেইনকে এআই হিসাবে জনপ্রিয় করব?

Wie machen wir Blockchain so beliebt wie KI?

¿Cómo hacemos que Blockchain sea tan popular como la IA?

Comment rendre la blockchain aussi populaire que l’IA ?

हम ब्लॉकचेन को AI जितना लोकप्रिय कैसे बना सकते हैं?

ブロックチェーンを AI と同じくらい普及させるにはどうすればよいでしょうか?

블록체인을 AI만큼 대중화하려면 어떻게 해야 할까요?

Como tornamos o Blockchain tão popular quanto a IA?

Как нам сделать блокчейн таким же популярным, как искусственный интеллект?

Blockchain'i Yapay Zeka Kadar Popüler Hale Nasıl Getirebiliriz?

Làm cách nào để chúng tôi làm cho Blockchain trở nên phổ biến như AI?

如何让区块链像人工智能一样受欢迎？

“My hope is that AI will deepen our interactions with students by doing the mundane work for us, but this depends on institutions and teachers deploying AI in the right way.” -Lance Cummings Teaching is not an easy job, but it is one of the most rewarding. Being a teacher is usually a really complex job and the increased mainstream adoption of AI in Academia means the relationship between teachers and students will undoubtedly be different. In this interview, I talk to Professor Lance Cummings, from the University of North Carolina Wilmington, about the Future of Teacher-Student Relationships in the age of AI. We talk about the impact AI will have on Students and Teachers alike as well as the effects of Large Language Models on the overall Learning Process. Also, you should check out Professor Cummings’s Substack; . iSophist Enjoy! Edem: It’s incredible to have you as a guest. To begin, could you talk about yourself; your professional qualifications and such? So I am an associate professor of professional writing at the , where I research and teach writing in linguistically and culturally complex environments. Instead of professional writing, I prefer to say content and information development, because I think it better represents what professional writing looks like these days. Lance: University of North Carolina Wilmington It's not just generating text! My doctorate is in writing and rhetoric, so I tend to take a more audience-driven approach to content development. I've been using AI since 2021, which has been more of a side project. I encountered OpenAI while researching the creator economy and thought to myself, "We are all going to be using this in 5 years." Well, it was only two, and since then, I've been exploring how AI fits into the writing process and have started implementing AI writing tools into my classes in ways that help students write in tandem with AI (not letting AI take over). Edem: Let’s dive right in! How might AI tools assist teachers in identifying and addressing individual learning challenges for students? My experience is mostly in rhetoric and writing, so I focus on how AI can help students in the writing process. Lance: When I had my students use AI in my writing classes last semester, students talked about how AI was really useful for coming up with ideas, alleviating writer's block, and enhancing weak spots in their writing. I think students these days are more uncomfortable with a blank page than I was in my day. Most of my students said they feel much more confident as writers after integrating AI into their writing process. But I should clarify that we were not using ChatGPT most of the time. We used SoduWrite, which is created to write in tandem with you, not for you. I do find prompt engineering as a way to teach students how to think and create frameworks. To be good at prompting AI, you have to know the framework well enough to write instructions. For example, I used prompt engineering to teach students how about writing good dialogue. AI can also serve as a useful feedback tool, but I am careful to say that AI isn't analyzing our writing like a writing instructor ... it is guessing what a writing instructor might say in response to particular writing. It is an important distinction. That said, it can make some really useful guesses, especially when trained by a writing instructor. But students should take this as feedback, not as directions ... which is how they should approach anyone's feedback not just AI, anyway. I wrote a little about this here. Plugins like the code interpreter are promising, as well. I'm playing around with using it to analyze writing. But in the end, I think creating explainable AI for education will be crucial, where we teach AI how to think with knowledge graphs ... not just train it statistically. Though one might argue that some human teachers are guessing as educators, do we really want to scale that with AI? Structured models functioning on curated data will be the next big step with AI. Edem: This is great; so you make use of AI prompting as a means to get students to understand the material. Could you talk about how the integration of AI technologies in education will shape student-teacher dynamics and the overall learning experience? I've been telling people to rethink their outcomes and assessment. We are used to thinking that taking tests and writing papers are the only or best forms of assessment. But many outcomes can be achieved through teaching prompt engineering, just as well, maybe better than assigning a paper or quiz. Lance: We will have to think of teachers more as coaches and less as content distributors or gatekeepers. This is not much of a change for me because that is how I've always approached teaching. Writing instruction is more than just teaching principles and giving feedback ... there is a lot of psychological and mental work that goes into teaching writing. AI can't coach without a human coach training and guiding it. We need to move away from assessment and towards coaching. Then AI just becomes another coaching tool in our tool bag. Edem: This makes real sense, the role of teachers will surely evolve as they work hand in hand with AI systems. There are some arguments that state that AI-Driven teaching systems have the potential to replace human teachers, What are your thoughts on this and what irreplaceable qualities human teachers bring to the table? So many of the people talking about replacing teachers are either investors or selling software. Honestly, I don't know what education looks like after this ... and neither do they, really. I absolutely believe that AI will make our jobs easier. Lance: AI already helps me do the mundane things that take up a lot of time, so I can spend more time on the important elements of teaching writing ... like talking to students and commenting deeper on assignments. For example, there are many kinds of comments I just cut and paste because they come up all the time ... and often students never really fix them. Well, an AI can point these out continually, until the draft is good enough for a deeper analysis for me. Or instead of hours developing an activity or lesson plan, AI can do that, and I can focus on implementing it with students and coaching. So will AI replace teachers? I'm skeptical. But there will be no room for teachers who aren't using AI. Those are the jobs that will be lost. Theoretically, I suppose, you could train LLM technologies to simulate empathy and coaching, but today's technology is nowhere close. LLM technologies can generate text and simulate some forms of reasoning, often not very well. We can improve these two elements, but the other aspects of teaching will need a new kind of technology or approach. There are lots of people in education and AI who would disagree with this ... but so far, I see no evidence to think otherwise. Most people are just speculating and not grounded in the technology currently being developed. Edem: I agree with you; let’s talk more about this. How do you foresee AI technology influencing the way teachers assign and assess student assignments? For instance, the type of questions or problem sets asked? In general, I think there should be less focus on content and more focus on working collaboratively, solving complex problems (that have no exact solutions), and managing complex projects. Lance: These are all things AI cannot do. For example, AI can pass the Scrum certification test ... but it can't manage a Scrum project. Since AI works best with frameworks and fine-tuning, students will need to have an even better understanding of how theory relates to practice. Teaching students to use generative AI in real-life contexts can be an important way to do this. I'm still thinking this through when it comes to writing. As I mentioned before, writing papers is not the only way to assess learning outcomes ... perhaps is not even the best in many cases. That said, writing is still important. AI can only take you so far. Here is what I am thinking when it comes to writing: Fewer, but more intentional writing assignments More focus on the invention (or ideation) phase of writing Taking a knowledge management approach ... smaller pieces of content that can be put together No more grades More applied learning ... writing in real-life contexts Well, these are all things I was doing before ChatGPT, but I'm cranking it up a notch and looking to adapt them more to AI contexts. For example, training students to use AI as an extension of their mind and not as a replacement. That will be key. Edem: This is incredible, this way you’d be adapting your students to working with AI rather than being disparate with it. How do you think AI can positively impact the teacher-student relationship? I hate to guess at this, but my hope is that AI will deepen our interactions with students by doing the mundane work for us ... but this depends on institutions and teachers deploying AI in the right way. Take doctors, for example. Lance: Some in the field are saying that being a doctor will go back to what it was like in the early days, highly personal with lots of interaction because doctors are too busy with paperwork and such. If AI can take over those tasks, doctors have more time to spend with patients. It can be the same with teachers. I also think educators can "replicate" themselves with AI apps for some of this mundane work if they learn how to properly build AI agents. So in a sense, AI becomes an extension of the teacher, giving more time for personal engagement. I'm not particularly excited by this idea of a universal tutor because you lose the specialization, but certainly, there will be a space for all kinds of different tools. Edem: Let’s go deeper into this rabbit hole. What adaptations or additional training do you think teachers need in order to adapt, efficiently AI into their teaching methodologies? Phew! That's a tough one because most teachers are under-resourced and already handling so many other things besides those AI-related. I think basic knowledge about how the technology works is absolutely key. Lance: There is a lot of hype and fear-mongering that the current technology doesn't really warrant. This should also include ethics and system bias. If our teachers aren't AI literate, then students won't be. Second, educators need to learn how to manage their own knowledge and structure their content to better utilize AI for course management and development of course materials. This can save educators an immense amount of time so that then they can either spend more time with students or more time researching what they need (like AI technologies). This should also include basic prompt engineering, which then can be tailored to their specific needs and contexts. It is also a great teaching tool. But I wouldn't stop there. They need to explore other generative AI tools in their area. For example, writing teachers should be looking into tools that blend generative AI with word processors, like Copyspace and Soduwrite. There is much more, sure. But it is easy to get overwhelmed. Teachers shouldn't feel like they need to know everything about AI ... but they need to know what will be useful and essential for their jobs. Edem: Incredibly insightful Lance! Let’s talk about validity. How might the large-scale adoption of AI in academia impact the credibility and authority of a teacher in the eyes of the students? Sorry if I am a bit slow the next few days, I've come down with an illness. Lance: I really think it comes down to how instructors use AI with their students. Frankly, AI doesn't replace expertise without a human expert shaping it with fine-tuning or prompting. If a teacher's sole job is to deliver content and assign trite assignments, then their credibility and authority would be less. But this is probably true without AI. But if we use AI with our students ... and show them how experts use generative AI, then our creditability and authority will remain. Students might be tempted to think they don't need teachers or classes if they can just ask ChatGPT ... but that can only take you so far. In the end, you have to have knowledge and experience to make generative AI work in particular cases. This means that AI does not so much pose a threat to a teacher's credibility and authority, but rather acts as a tool to enhance their teaching approach. By integrating AI into the curriculum, teachers can provide a more interactive, personalized, and enriching educational experience for their students. This can actually boost the teacher's authority as they demonstrate their ability to innovate and stay current with technology trends. Teachers should make it clear that AI is not the source of wisdom or expertise, but a tool that helps apply and express that wisdom. AI is a machine learning model trained on data - it doesn't understand the context or make value judgments the way humans do. That is the role of the teacher. Showing students how to critically use and interact with AI, identify its limitations and potential biases, and apply it to solve complex problems in their field of study can only raise a teacher's creditability. Edem: Fascinating! Let’s take a deeper look at how it affects students. How does the increased dependence on AI to answer questions affect the students’ critical thinking and problem-solving skills? Honestly, I don't think it does impact critical thinking. Well, I guess it can if we use AI in all the wrong ways ... but the problem is not in the technology, but in how we use it. Lance: In fact, I might argue that using AI can improve critical thinking skills. Don't ask students to take tests or write about content ... ask them to solve problems. There is a difference between answering a question and solving a problem. Answering a question often requires recalling information or applying a known solution to a defined problem. Solving a problem, on the other hand, involves more complex reasoning and creative thinking skills. It requires understanding the problem, formulating a strategy, implementing a solution, and then reflecting on the outcome. When used correctly, AI can guide students through this problem-solving process. I suppose it can give shallow answers to complex problems, but working past that is part of critical thinking. Edem: I see your point there; I do want to look more into the effect it has on students. Do you think the integration of AI systems and the popularity of personalized learning experiences for students could hinder the development of essential social skills and collaborative abilities that seeking help and clarity provides? I don't really think the technology will do any of these things ... it's how we use the technology. If we decide that education is all about individual skills and content, and all we need is some AI tutors, then yes. Lance: But if we use this opportunity to teach skills like collaborating with diverse people, solving complex problems, and managing projects ... then no, I don't think so. The technology itself is neutral - it's up to educators, policymakers, and society to shape how it's integrated in a thoughtful way that enhances human connections and doesn't isolate students. With care and intention, AI could even help teach some of those vital interpersonal skills. But we have to prioritize those values, not just efficiency or personalization. Ultimately it comes down to the goals we set for education and how we choose to get there. Edem: You’re right, technology is anthropomorphic and therefore can’t be evil. That’s a wrap, Lance! Any closing words? Many in education are focused on the wrong things when it comes to AI. Trying to preserve outdated methodologies or stop plagiarism misses the bigger picture. Lance: As we head into a new school year, the conversation needs to shift to how we can thoughtfully integrate these technologies to truly enhance learning and prepare students for the future. Rather than an adversarial view of AI, we should be asking - how can these tools improve access, engagement, and outcomes. How do we need to adapt our teaching methods and curriculum to leverage AI responsibly? This requires a human-centered mindset focused on problem-solving and ethical integration, which can be called "AI Operations." The business world is starting to get this, but education lags behind. We need more people taking an AI Ops approach - cross-disciplinary teams focused on real-world solutions and continuous improvement as these technologies evolve. This goes beyond just creating the tech to actually delivering value in the classroom. That's why I've been focusing on developing practical approaches in my . Substack Also published here

How AI Will Impact Teacher-Student Relationships: A Conversation With Professor Lance Cummings

কিভাবে AI শিক্ষক-ছাত্র সম্পর্ককে প্রভাবিত করবে: প্রফেসর ল্যান্স কামিংসের সাথে একটি কথোপকথন

Wie sich KI auf die Lehrer-Schüler-Beziehungen auswirken wird: Ein Gespräch mit Professor Lance Cummings

Cómo la IA afectará las relaciones entre maestros y estudiantes: una conversación con el profesor Lance Cummings

Comment l'IA aura un impact sur les relations enseignant-élève : une conversation avec le professeur Lance Cummings

एआई शिक्षक-छात्र संबंधों को कैसे प्रभावित करेगा: प्रोफेसर लांस कमिंग्स के साथ बातचीत

AI は教師と生徒の関係にどのような影響を与えるか: ランス・カミングス教授との会話

AI가 교사-학생 관계에 미치는 영향: Lance Cummings 교수와의 대화

Como a IA afetará as relações professor-aluno: uma conversa com o professor Lance Cummings

Yapay Zeka Öğretmen-Öğrenci İlişkilerini Nasıl Etkileyecek: Profesör Lance Cummings ile Bir Söyleşi

AI sẽ tác động đến mối quan hệ giữa giáo viên và học sinh như thế nào: Cuộc trò chuyện với giáo sư Lance Cummings

人工智能将如何影响师生关系：与兰斯·卡明斯教授的对话

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Coho AI

coho.ai

11-50 employees

Since 2021

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COHO AI

EVERGREEN INDEX #3317

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