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How Amazonian Thinking Turned Me Into a Remote Work Optimist

Importance of C++ in Data Science and Big Data Introduction and Motivation – Why C++ C++ is ideal for , and and libraries. Google’s , most of the listed below have been known for its and is coded using C++ acts as a replacement to . dynamic load balancing adaptive caching, developing large big data frameworks, MapReduce, MongoDB deep learning libraries implemented using C++. Scylla ultra-low latency extremely high throughput Apache Cassandra and Amazon DynamoDB With some of the advantages of C++ as a programming language, (including and ), it definitely serves as one of the most tools for developing fast scalable Data Science and Big Data libraries. unique memory management, performance characteristics, systems programming efficient Further, (a and language – developed from ) is emerging as a potential competitor to Python in the field of scientific computing and data processing. Its fast processing speed, parallelism, static along with dynamic typing and C++ bindings for plugging in libraries, has eased the job for developers/data scientists to integrate and use as data science and big data library. Julia compiled interactive MIT C++ Let’s take a closer look at different C++ libraries that can become useful to every data scientist for traditional and deep learning models. 1. TensorFlow from Google AI Popular Deep Learning Library developed by Google with its own ecosystem of tools, libraries, and community resources that lets researchers and developers build and deploy ML-powered applications easily https://www.tensorflow.org/lite/microcontrollers/library https://github.com/tensorflow/serving 2. Caffe from Berkeley Convolutional Architecture for Fast Feature Embedding or Caffe is written in C++ for a deep learning framework, has been developed by the Berkeley Vision and Learning Center. https://github.com/intel/caffe 3. Microsoft Cognitive Toolkit (CNTK) is a unified deep-learning toolkit that helps to translate neural networks as a series of computational steps via a directed graph. Microsoft Cognitive Toolkit 4. mlpack Library : It is a fast, flexible machine learning library, written in C++.that provides cutting-edge machine learning algorithms with Python bindings, Julia bindings, and C++ classes. mlpack . 5 DyNet (supports computational graph on the fly) or DyNet is a high-performance neural network library written in C++ (with bindings in Python) that runs efficiently on CPU or GPU. It has support for natural language processing, graph structures, reinforcement learning, and other such. Dynamic Neural Network Toolkit 6. Shogun is an open-source machine learning library that offers a wide range of efficient and unified machine learning methods, like combination of multiple data representations, algorithm classes, and general-purpose tools for rapid prototyping of data pipelines. Shogun 7. FANN is a multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. It has support for cross-platform execution in both fixed and floating points. In addition, it has support for evolving topology-based training and backpropagation based DL model training. Fast Artificial Neural Network 8. OpenNN is an open-source (C/C++) neural networks high-performance library for advanced analytics, with support for classification, regression, forecasting, among others. Open Neural Networks (OpenNN) 9. SHARK Library is a fast, modular, general open-source machine learning library (C/C++), for applications and research, with support for linear and nonlinear optimization, kernel-based learning algorithms, neural networks, and various other machine learning techniques. Shark 10. Armadillo Armadillo is a linear algebra (C/C++) library with functionality similar to Matlab. The library is famous for the quick conversion of research code into production environments, for pattern recognition, computer vision, signal processing, bioinformatics, statistics, econometrics, among others. 11. Faisis : This library (C/C++) is used for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also has support for optional GPU provided via CUDA, and an optional Python interface. faiss 12.RandomForest https://github.com/zhufangzhou/RandomForest https://github.com/bjoern-andres/random-forest 13. Boosting – A parallelized optimized general purpose gradient boosting library. XGBoost – A fast library for GBDTs and Random Forests on GPUs. ThunderGBM – Microsoft’s fast, distributed, high-performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification, and many other machine learning tasks. LightGBM – General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation. CatBoost 14. Recommendation Systems – A C library for product recommendations/suggestions using collaborative filtering (CF). Recommender – A hybrid recommender system based upon scikit-learn algorithms Hybrid Recommender System 15. Natural Language Processing – BLLIP Natural Language Parser (also known as the Charniak-Johnson parser). BLLIP Parser – C++ library, command-line tools, and Python binding for extracting and working with basic linguistic constructions such as n-grams and skiagrams in a quick and memory-efficient way. colibri-core – Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks. [Deprecated] CRF++ – CRFsuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. [Deprecated] CRFsuite -Different deep learning-based CRF models.frog – Memory-based NLP suite developed for Dutch: PoS tagger, lemmatizer, dependency parser, NER, shallow parser, morphological analyzer. CRF Models –  ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates the mining of big text data, including text tokenization, including deep semantic features like parse trees, topic models, classification algorithms, graph-algorithms, language models, multithreaded algorithms, etc. MeTA – C, C++, and Python tools for named entity recognition and relation extraction MIT Information Extraction Toolkit – Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format. ucto 16. Data Mining for Streams : Useful for Mining Big Data Streams which has support for the following algorithms StreamDM : SGD Learner and Perceptron Naive Bayes, CluStream, Hoeffding Decision Trees, Bagging, Stream KM++ Data Generators HyperplaneGenerator, RandomTreeGenerator, RandomRBFGenerator, RandomRBFEventsGenerator 17. Data structures/Graph/Dynamic Programming Algorithms 18. General-Purpose Machine Learning https://github.com/TheAlgorithms/C-Plus-Plus 18. General-Purpose Machine Learning – Darknet is an open-source neural network framework written in C and CUDA, that supports CPU and GPU computation. Darknet – An ONNX runtime is written in pure C (99) with zero dependencies focused on small embedded devices. Run inference on your machine learning models no matter which framework you train it with. Easy to install and compiles everywhere, even in very old devices. cONNXr – A simple Multi-armed Bandit library. BanditLib [Deprecated] – This is a fast C++/CUDA implementation of convolutional deep Learning CUDA – A machine learning API and server written in C++11. It makes the state of the art machine learning easy to work with and integrate into existing applications. DeepDetect – A distributed machine learning (parameter server) framework by Microsoft. Enables training models on large data sets across multiple machines. Current tools bundled with it include: LightLDA and Distributed (Multisense) Word Embedding. Distributed Machine learning Tool Kit (DMTK) – A suite of ML tools designed to be easy to imbed in other applications. DLib – A software library created by Amazon for training and deploying deep neural networks using GPUs which emphasizes speed and scale over experimental flexibility. DSSTNE – A dynamic neural network library working well with networks that have dynamic structures that change for every training instance. Written in C++ with bindings in Python. DyNet – A highly-modular C++ machine learning library for embedded electronics and robotics. Fido – General purpose graph library. igraph – A high-performance software library developed by Intel and optimized for Intel’s architectures. Library provides algorithmic building blocks for all stages of data analytics and allows to process data in batch, online, and distributed modes. Intel(R) DAAL – A generic approach that allows to mimic most factorization models by feature engineering. libfm – The Machine Learning Database is a database designed for machine learning. Send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models, and expose them as APIs. MLDB – A scalable C++ machine learning library. mlpack – Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more. MXNet – A general-purpose network embedding framework: pair-wise representations optimization Network Edit. proNet-core – Python interface to CUDA PyCUDA – A modular scientific software framework. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualization and storage. ROOT – A fast, modular, feature-rich open-source C++ machine learning library. shark – The Shogun Machine Learning Toolbox. Shogun – Suite of fast incremental algorithms. – A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampling. sofia-ml Stan – A software package/C++ library implementing several memory-based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification, and IGTree, a decision-tree approximation of IB1-IG. Commonly used for NLP. Timbl – A fast out-of-core learning system. – A fast parallel implementation of Connectionist Temporal Classification (CTC), on both CPU and GPU. Vowpal Wabbit (VW) Warp-CTC – A fast SVM library on GPUs and CPUs. ThunderSVM – A header-only C++11 Neural Network library. Low dependency, native traditional Chinese document. LKYDeepNN – A high performance, easy-to-use, and scalable machine learning package, which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data, which is very common in Internet services such as online advertisement and recommender systems. xLearn – A library for automated feature engineering. It excels at transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering “primitives”. Featuretools – A library for learning neural network, has C-interface, net set in JSON. Written in C++ with bindings in Python, C++ and C#. skynet – A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving. Feast – An data-intensive platorm for AI with the industry’s first open-source feature store. The Hopsworks Feature Store provides both a feature warehouse for training and batch based on Apache Hive and a feature serving database, based on MySQL Cluster, for online applications. Hopsworks – A platform for reproducible and scalable machine learning and deep learning. Polyaxon – C++ Computer Vision Library with easy-to-understand and efficient implementations of computer vision algorithms. [Mozilla Public License version 2.0] sara – A GPU (CUDA) based Artificial Neural Network library. [LGPL] ANNetGPGPU – Game Behavior Tree Starter Kit. [zlib] btsk – A template-based, ANSI-C++ evolutionary computation library that helps you to write your own stochastic optimization algorithms insanely fast. [LGPL] Evolving Objects – Header-only library for using Keras models in C++. [MIT] frugally-deep – Simple neural network library in C. [zlib] Genann – Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more. MXNet – Tensors and Dynamic neural networks in Python with strong GPU acceleration. PyTorch – (3D) Navigation mesh generator and pathfinder, mostly for games. [zlib] website Recast/Detour – A header only, dependency-free deep learning framework in C++11. [BSD] tiny-dnn – A distributed platform for rapid Deep learning application development. [Apache] Veles – Toolkit for speech recognition. [Apache] Kaldi 19. Computer Vision – C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library. CCV – VLFeat is an open and portable library of computer vision algorithms, which has Matlab toolbox. VLFeat – DLib has C++ and Python interfaces for face detection and training general object detectors. DLib – Eblearn is an object-oriented C++ library that implements various machine learning models EBLearn [Deprecated] – OpenCV has C++, C, Python, Java, and MATLAB interfaces and supports Windows, Linux, Android and Mac OS. OpenCV – VIGRA is a generic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings. VIGRA – A real-time multi-person keypoint detection library for body, face, hands, and foot estimation20. FlashLight from Facebook Research. Openpose 20. FlashLight from Facebook Research is a fast, flexible machine learning library written entirely in C++ from the Facebook AI Research Speech team and the creators of Torch and Deep Speech. flashlight 21. Mobile Neural Network from Alibaba is a highly efficient and lightweight deep learning framework. It supports inference and training of deep learning models and has industry-leading performance for inference and training on-device. MNN 22. Habitat-SIM from Facebook Research (C++) library enables training of embodied AI agents (virtual robots) in a highly photorealistic & efficient r, before transferring the learned skills to reality. It employs static datasets (e.g. ) with AI where agents act within realistic environments by learning from it. habitat-sim 3D simulato ImageNet, COCO, VQA References https://analyticsindiamag.com/top-10-libraries-in-c-c-for-machine-learning/ https://github.com/topics/ml?l=c%2B%2B https://dzone.com/articles/progressive-tools10-best-frameworks-and-libraries

Top C/C++ Machine Learning Libraries For Data Science

Principales bibliotecas de aprendizaje automático C/C++ para ciencia de datos

The traditional work model, 9 to 5 in an office with the whole company face to face, is going the way of the dodo bird. For a number of businesses thriving in the 21st century, that’s not necessarily a bad thing. As the CEO of a rapidly growing in San Francisco, Spiral Scout, that builds powerhouse tech teams for businesses in need of custom software solutions, I regularly work with distributed technical teams and clients located around the world. software development agency A group of software developers, designers, project managers, and quality assurance specialists all working on the same project but logging on from six different time zones could make a client trepidatious. With good time management habits, however, I have learned that distributed teams can be tremendous assets and actually improve productivity and speed of development while lowering costs and communication confusion. Help your distributed team become more efficient, productive, and communicate better with these 3 top time management tips: 1. Improve Your Meetings “The longer the meeting, the less is accomplished.” - Tim Cook According to Doodle’s 2019 State of Meetings report, poorly organized meetings in 2019.  Both meetings that are called unnecessarily as well as meetings that lack a clear action plan and strong facilitator cost businesses big time in both time and resources. It’s vitally important to structure your meetings to avoid endless chit chat, small talk, and tangents that can derail the topic at hand and bore others who aren’t a part of the conversation. So how exactly do you make the most of virtual meetings? Try these tips: will cost U.S. businesses a jaw-dropping $399B Lock down a set time for meetings each week that works for everyone. Ideally, you want to have at least a minimal overlap during your day with your distributed members where everyone can sign on and give an update. Communicate a clear agenda before the meeting with participating attendants so they can prepare. And most importantly, stick with your agenda during the meeting to make sure you cover everything you need to and avoid the . squirrel factor Have one person lead the meeting who can guide the conversation according to the agenda. A leader helps keep things on track and can nip side conversations in the bud before they become a time vacuum. Get to brass tax quick. Start meetings off by saying something like, “I know everyone is busy, so let’s get started speaking about XYZ,” or “Let’s start where we left off last time and discuss ABC.” Use visual aids. Research has shown that visual aids can help keep meeting attendees engaged and on task. Hold video meetings so attendees can see who they are speaking with face to face. Not only are people more likely to pay attention, but video conferencing adds a helpful layer of accountability too. When possible, limit your meetings to 30 minutes or less. If additional topics come up, note them in the minutes that get emailed to participants, and schedule separate follow-up conversations as needed. Remember too, for distributed teams that are spread out remotely and don’t share a central office, meetings are critical fixtures in both day to day operations as well as in promoting a connection between employees. If you want your team to feel like they have time to connect on a personal level, incorporate 10 to 15 minutes at the beginning or end of a weekly meeting devoted just to that. A good ice breaker for this type of group connection time is asking everyone to take 30 seconds and share their high point and low point for the week. Pro Tip: 2. Choose Your Tools Wisely “I have not failed. I’ve just found 10,000 ways that won’t work.” — Thomas A. Edison Well-organized and highly productive distributed teams rely in part on project management and ticketing apps, real-time messaging tools, and cloud-enabled solutions that allow them to work remotely but remain in frequent contact. The right tool can be a huge time-saver helping to improve productivity and make your workers far more efficient than if they were managing projects solely through email and spreadsheets. Sometimes, however, new tools can consume loads of valuable time, especially when they have a steep learning curve, they are not well-liked by your team, and when they don’t thoroughly address common communication and project management hurdles. Not all tools will be a perfect fit for every team, so choose yours wisely with these tips: Get everyone’s buy-in on the products you select for team collaboration. You want to make sure everyone is comfortable using them (and will therefore maximize their use of them). Make sure the tools you choose allow you to assign responsibility to specific people and notifies them accordingly (both immediately and also as a follow-up when a task isn’t completed within a designated time). Find at least one go-to platform that provides quick facilitation of video calls and screen-sharing for group meetings among your distributed team. The Zoom Conference app, TeamViewer, and GoToMeeting are good places to start. Pick tools that work together, i.e. like a messaging and collaboration platform that integrates with Google Drive plugins. Look for tools that make it easier to communicate and collaborate in real-time across time zones. Ditch the tools and products that don’t work for your entire team. Just because it’s the latest app disrupting the project management or development space doesn’t mean it’s right for your group. My company’s distributed teams specifically employ an Agile methodology of software development which means we need to be nimble, responsive, and able to pivot quickly as our customer’s plans evolve. We have found that tools like Jira, Confluence, Google Drive, Rocket.chat and Skype/Discord are especially helpful in both planning and driving collaboration and development as well as helping us track and record essential communications. 3. Be Proactive “Recast your current problems into proactive goals.” - Suze Orman The best way to save time is to plan ahead. When you have organization and direction, you can prevent many of the common problems that develop among distributed teams and lead to time mismanagement, i.e., inefficient communication, workload imbalances, and toxic company culture. Take two engineers, for example, who are working together (but from different locations) on a frontend portion and a backend portion of a website. The frontend engineer finishes what he needs to do and moves on to a new task or different project. The team member working on the backend, however, takes longer and eventually needs to call the frontend engineer back to help close up the project. If the frontend engineer is tied up with new tasks and can not be brought back immediately or respond to questions, the development cycle can get stalled, and the release date for the project might get pushed back. Proactivity can help prevent this type of scenario by encouraging team members to stay one step ahead. From the example above, knowing his portion was going to take longer, the backend developer could instead estimate a date for finishing his ticket and proactively schedule a meeting with the frontend developer to close out the project together. Or, the frontend developer could plan in advance to set aside a small amount of time each day to check-in and see if the backend developer needs assistance. It’s also important to make sure that any roadblocks team members encounter are addressed in meetings and ironed out before people shut down their systems for the night. When you have groups of people on opposite sides of the world working while the other is sleeping, it is critical that bottlenecks are alleviated before the next team signs on so there is no delay in their progress. Use proactiveness to your team’s benefit with these quick tips: Implement the foundational scrum practice with your team that involves regularly sharing what, if anything, is blocking progress. Then work out with your team what can be done to help unblock that person. Plan ahead with clear instructions and frequent check-ins to make sure that people are not blocked nor waiting for others to provide help. Visualize in an easy-to-read chart or other aid exactly which people are working on which aspect of a project and share with the entire team. Include key details like when respective team members expect to be done with their tasks, what the next steps are after they complete that task, and if they need another team member to assist them. Encourage team members to take up their own reins and move forward on their own to the next job at hand without having to be guided every step of the way. When it comes down to it, time management is best served by a team that trusts one another and has the resources to excel, no matter where they are located when they work. A practical approach to meetings, the right tools, and a proactive mindset will go a long way in keeping your team efficient, happy, and successful.

[Top 3] Time Management Habits of Highly Productive Distributed Teams

Trace Mayer on Why You Must Own Your Bitcoin Private Keys

, more than $2.3 billion has been raised in token sales, aka “ICO’s” so far in 2017. As an entrepreneur , and whose , I have mixed thoughts about the current ICO bubble. According to Forbes who has raised more than $300 million of venture capital equity financing in my career company is holding an ICO in just a few days Like many, I’ve been enthralled by the technical elegance and enormous potential of technologies. And, one cannot help but be fascinated by the amount of capital flowing into cryptocurrencies and ICO’s. blockchain Like many, I’ve also been repulsed by the ICO scams and , , and frightened by the speculative dynamics of cryptocurrencies and token markets. hype marketing turned off by the pay-for-play ICO cottage industry In a previous post I discussed . some of the cringiest moments we’ve encountered during the ICO process In this post I present some of my thoughts on the ICO Bubble, implications of the increased ICO volume and noise, and my suggestions for the community to adopt requirements for better ICO’s. This is a work in progress, intended to spur conversation, and I encourage and welcome everyone’s feedback. “There’s something happening hereWhat it is ain’t exactly clear “ — Buffalo Springfield The ICO Bubble in Context From a macro perspective, bubbles serve as an acceleration purpose in technology cycles. The capital markets are currently sizing up cryptocurrencies and blockchain technologies much like they did for the emerging Internet companies in the late 1990’s. Back then, hundreds of dot-com companies raised globs of money pre-revenue on big ideas alone and went public long before they should have. Most of those companies didn’t survive, while a handful of the dot-com bubble babies like Amazon and Google went on to dominate. However, any way you slice it, the capital markets’ appetite for speculating on the future value of Internet technologies fueled a massive wave of innovation that fundamentally improved and connected the world. And, many of the ideas that initially failed were recast and reborn years later as successful ventures, once ideas caught up with technical realities and consumer adoption. Bubbles reflect investor excitement and optimism for game-changing ideas and outsized returns. Bubbles also educate markets. Many consumers first got intrigued by the Internet by following booming Internet stocks, just as many consumers today are first becoming familiar with blockchain and crypto by learning of booming prices. Bitcoin Blockchain today is like 1993 internet — we’re still at the early stage of building protocols and middleware — albeit with 1999 bubble hype. The current cycle is more compressed than the 1993–2000 dot-com cycle because blockchain technology is based on immediately recognizable economic value, whereas Internet companies were valued based on potential future profits and stock prices. The dot-com bubble was fueled by investor enthusiasm to get into those projects, much as the crytpo bubble is today. zero-to-one Just like the long term potential and societal impact of the Internet was mostly speculative twenty years ago, the long term impact of blockchain and cryptocurrencies is elusive today — which further drives the mystery and excitement for it. 20 years ago we had no conceptualization of a Facebook or a WeChat or Amazon Web Services. Twenty years ago there was no Google, no Salesforce, no Twitter, no Snapchat. No one knows which of the current crop of Blockchain companies and projects will become breakout hits. No one knows which cryptocurrencies — if any — will become global standards, and if one of them might even overtake some national currencies in prominence. Today is ground zero for Blockchain. If the past is any indication though, many of the current projects will fail, while the ones that succeed could achieve outsized market position, similar to how the FAANGs (Facebook, Apple, Amazon, Netflix, and Google) now combine for more than 50% of the entire NASDAQ marketcap and 10% of the S&P 500. What is very clear to me though is that there is a long term cultural shift in the making that we may not fully grasp the meaning of for another ten or twenty years. Millions of people around the globe are starting to embrace cryptocurrencies based on data and digits and proof of work over national currencies, and the blockchain ideals of decentralization over institutional middlemen. It’s a rejection of long-established nation-state norms. It’s a belief in a global society and borderless data. It’s an expression of personal ownership over one’s digital identity and contributions. The first 20 years of the Internet brought us a universally connected society with more free speech and convenience than ever before. The next 20 years could recast generation-old assumptions around nation-state economies, human rights, legality and ownership. The Current ICO Noise The ICO bubble has introduced a ton of noise into the market while the market is simultaneously trying sort out its appetite for Ethereum based tokens vs. Bitcoin. What was recently a handful of mostly well though-out blockchain infrastructure projects, has turned into thousands and thousands of potential ICO’s. Too many of the recent batch seem more motivated by greed and pursuit of a quick buck, rather than a bonafide cryptocurrency purpose and utility. Volume has gone up, while quality (in some part) has come down. At minimum it has become exponentially harder for educated buyers to evaluate projects. The noise has also increased the cost of conducting an ICO. Marketing and PR costs have skyrocketed based on the demand and difficulty to stand out. Lawyers, accountants, and service providers have increased their fees. A sizable cottage industry of consultants and advisors has popped up to offer all sorts of pay-for-play programs. Want your ICO listed on an ICO listing site? That’ll cost you a sizable amount of ETH or BTC. Want your ICO reviewed? That will cost you some more ETH or BTC. Want us to write an article about you?… you get the point. The noise and speculative nature of ICO’s has also raised the awareness and attention of regulatory bodies. This is a positive development in my opinion. It has been a wild-wild west in ICO-world until most recently and the industry should welcome oversight, ground-rules, and structure — especially when it comes to consumer protection. At the same time, many of the projects that ICO’d over the summer are now trading at lower than their offering prices. I chalk this up to projects taking advantage of frothy markets and raising too much money at high prices vs. the actual state of their product implementations. This is also a positive development in my opinion. Tokens are not equity and should not represent the future value of the project or future cash flows. Rather, token prices should mirror the actual demand for the tokens. As a result of the bubble, my sense today is that the ICO market is beginning to shift — in a good direction — and that we are going to see a much needed tightening in the industry around some much needed minimum viable norms for ICO’s. A Modest Proposal For Better ICO’s Rather than waiting for the regulators to come in and set the rules — I’d like to see the crypto community self-police and agree to some principles for what makes for a worthy ICO project. To that end, here are my proposed must-haves for ICO’s. Minting the token and establishing a market-price for the token is required in order to make the underlying software protocol and the token economy model function. If the purpose of the token sale is solely to raise capital for the project, that is not enough. Capital can and should be raised via equity and debt instruments, not by selling token assets. There must be a real utility for the token. The by others . utility of the token must be proven, demonstrable, and replicable before holding the token sale The source code for the protocol must be made available via open source. must been presented. A demo of the token utility in-action on a blockchain Anyone should be able to replicate the demo and implement it. You should not be able to just replace the token with fiat and accomplish the same functions. If the only value ascribed to the token is as a payment rail, it’s a currency not a utility. The token must not be just a cute substitute for fiat. for the solution — i.e., the “secret sauce.” In other words, what is it about blockchain that uniquely enables the solution? The project must present a clear case for why a blockchain is uniquely necessary The project such as open and decentralized where technology allows for it. adheres to key blockchain principles There is a for how the token will be used and . The token economic model and forecasted demand for the token supports the price and market cap of the token economy. viable token economic model how ongoing demand for the token will be derived The token sale is amount to establish the token economy. Again, the token sale should not be an end-around to equity or debt financing, rather the token sale should be to establish the economy and the endowment for the ecosystem it intends to support. Raise equity to run the company, sell tokens as if it was software — to get it into the hands of your desired users. raising a reasonable and justifiable The token sale is designed to , not to speculators. maximize benefits to the purchasers and users of the utility The token sale is , rather than into the hands of a few people who could exert significant influence over the price of the token. Returning to the software analogy, you wouldn’t want a couple of your largest customers being able to influence prices for everyone. designed in a democratic fashion to get the token into the hands of as many possible end-users of the utility The token sale Large pre-sale purchasers can be afforded reasonable discounts/bonuses relative to their purchase sizes — similar to how corporate software purchasers get volume discounts, but should be locked into long term vesting schedules to limit their ability to dump the tokens onto the market. strikes a fair balance between benefits to large pre-sale purchasers and public sale purchasers. The smart contracts for the token sale have been published and audited by credible independent auditors. A who can achieve the mission of the project, supported by who have contributed their expertise and not just their name. Backed by a with experience in securities law and regulations. credible team credible advisors top tier legal team The team has and has adhered to local laws and policies. obtained legal opinions and regulatory guidance in all relevant jurisdictions The project has established and controls over resource allocation — both for the funds received and for the token supply that has not distributed. independent oversight Unsold tokens following the token sale are either burned or distributed proportionally to the buyers. . The project has committed to transparency and demonstrated in the run up to the token sale, distributing all of its work online for the community to review and evaluate and maintaining active presence in social media channels. Transparency Thank you to , , and for your contributions to this article. has also written extensively on similar themes and I took inspiration from some of his posts. Urszula McCormack and the team at KWM and Lowell Ness and the team at Perkins Coie provided valuable input. Benjamin Bollen Nishith Shah Francesco Pacella Ignas Pečiūra Fred Wilson I welcome and encourage all comments and feedback. Thanks jason

Insider Reflections on The ICO Bubble

Let's learn about via these 50 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Product Marketing /Learn Repo 1. Social Media Strategy: How to Increase LTV by Turning Your Customers Into Your Followers If you want to increase Lifetime Value (LTV), consider these social media tips that will help you turn your customers into long-term social media followers. 2. Exploring Emerging Marketing Channels: How to Venture Into Uncharted Territory Emerging marketing channels can help your product reach a wider, more engaged audience. These tips can help you decide which channels are worth an investment. 3. What Makes a Successful Product Launch: 6 Lessons for First Time Founders Launch is neither the beginning nor the end. It is a series of overlapping sequences. A typical one may include pre-build, pre-launch, launch, and post-launch. 4. MVP(Minimum Viable Product): What It Is and How It Is Built Ever wondered what is an MVP and why do you need it? Here's a detailed overview of what you need to know about MVP in 2023. 5. What Impact Can a Product Information Management System Have? Product marketers today are striving continuously to strike a balance between maintaining relevancy when entering new markets while stepping-up resiliency to increase profit potential. To address the ever-increasing customer demands across multiple touchpoints, they need a central hub to manage product information like attributes, and specifications. That is because they need real-time visibility into product data and rule out discrepancies by demolishing multiple data silos, so that Customer Experience (CX) does not suffer. 6. Metrics to Help You Measure and Improve Your Products Here, I will introduce you to different categories of success metrics and how are they used in a broader sense. 7. Top 5 Effective Product Positioning Strategies Product positioning is one of the most discussed topics in product marketing, and it could either make or mar the performance of any product that you developed. 8. Community-led Marketing for Product Growth Community-led marketing refers to the use of communities, often centred around a particular product or brand, to drive growth, insight gathering and impactful e 9. Animated Videos Are So Darned Cool in Content Marketing In this article, you'll find 7 great reasons to start using animated explainer videos in your product marketing or content marketing strategy. 10. How to Tell a Product Story (and Get an Enthusiastic Response) Product storytelling is the buzzword most marketers are chasing, as a good product story has the potential to bring more sales and users and never fade away. 11. Every GTM Should Be A Phased Launch and Here's Why The “big splash” rollout is often a big mistake. Methodical phased launches lead to higher success rates and lower churn rates 12. The Complete Guide to Growth Marketing Every year, over 500,000 new businesses start in the US, and over 200 billion dollars are spent on marketing, as reported by Statista. 13. Retain More Customers With these A/B Testing Tools Here we have listed Best A/B testing tools to help you improve your digital marketing strategy, find solutions, and engage with your ideal customers. 14. How Zevi Reinitz is Trying to do Things Differently as head of PMM at Livecycle How Zevi Reinitz is questioning assumptions and testing limits in his career and with the GTM strategy as head of Product Marketing @ Livecycle 15. What Is Product Marketing, and What Do PMMs Do? Product marketing function varies significantly from company to company and it sometimes even means different things at the same organization. 16. How To Solve the Problem With Key Metrics In a B2B Product To learn how B2B companies solve the problem with key metrics in a product, I caught up with Yuri Brankovsky who has worked in multiple digital products. 17. SaaS Pricing Localization: How to Do It the Right Way One way your pricing can change as your company evolves is by using multi-currency pricing. Here’s what you need to know about SaaS pricing localization. 18. The 2020 State of Marketing Marketing trends and actionable insights on what works today 19. How Technological Amalgamation With Business Pays Off in Direct Sales Industry Technology is impacting all major industries, both positively and negatively. Understand how beneficially the technology recasts the direct selling industry. 20. What was the Product Masterclass by Product School all about? One of the things, I had decided, was that during the lockdown I would sharpen my skills around Product Management. For this, I have been religiously attending many webinars and doing some online courses. One of the courses that hit the chord was this course 21. How to Find X When Your Product + X = Success Have product?  Want to not fail at product management? Quick, here are some tips! 22. Fundamentals of User Onboarding in Product Marketing User onboarding is the process of introducing new users to a product and helping them understand how to use it effectively. 23. How to Launch a Product Successfully The phone balanced high-end quality with a mid-range price tag, offering a top of the range smartphone on the level of a flagship Samsung Galaxy for half the price. When word got out — through social media and tech sites who marvelled at the quality to price ratio — consumer interest spiked. 24. 8 Marketing Lessons From Steve Jobs Matt Gray goes over 8 Steve Jobs marketing lessons. 25. 10 Things To Do Right Away Before Starting Your Product Journey We all have different roles to fulfill during a product’s journey. Some of us are heavily invested on the sales and marketing side while others consider the technical decisions as their day to day job. While segregation of work is important as well as useful for founders, there are  a lot of things that all founders need to learn to make sure they are ahead on the curve as they take continuous decisions for the product and its growth. Here are 10 things to do right away as you start your product journey. 26. Every Good Marketer is a Growth Marketer With this article, I convey my perspective on growth marketing and dispel the myth that it is unique. 27. How We Increased User Retention in the LoopMessage App Using Free Messaging The LoopMessage app helped increase user retention several times. This was reached by sending free personalized messages via popular instant messengers. 28. Email Marketing: How To Tell Stories that Get People To Buy Your email marketing strategy can either be a win or a miss. This article shows you how to tell stories through emails to increase conversions & inspire trust. 29. How Growth Marketing Helped 7 Companies Amid Crises Growth marketing is a powerful tool that can change the company in several months. Here are 7 companies that gained success during crises thanks to growth marke 30. 8 Steps to Successfully Marketing Your App Marketing is a simple strategic technique to win over people, this can sometimes be the hardest thing to decide on. With the power to click on personal interests and desires, marketing can provide good respect for the product. 31. How to Choose the Right Copywriter for Your Project Copywriting is a unique and beneficial talent that can add enormous value to your business, but finding the right person for your copywriting project is seldom an easy task. 32. So you want to do marketing for a tech company… (Part 2) Facebook campus during a hackathon 2013 33. How Product Reviews Encourage Customer Conversations Learn Why analyzing customer insights from product review data can help companies make better strategic decisions 34. Interview with Google Product Marketing Manager Vincent Xu Product Marketing is the art and science of bringing a product to the right market and establishing a sustainable positioning for the product. 35. The Biggest Startup Lie Ever Told Putting effort into marketing before you have a product may seem counterintuitive. But in reality, it makes total sense. And this is the reasoning behind it. 36. Marketing 403 for Engineers: Answering Founder FAQs Programming notes: this post is n in a series of indeterminate length on GTM topics mainly for startup people, mainly leadership, mainly coming from non-GTM backgrounds. There’s a list at the end. 37. What 156 Billion Options of Shoes Teaches Us About Product Marketing and Customer Service We are living in a time of radical transformation as the traditional retail ecosystem continues to change at an accelerated pace (no surprise here). Retail is changing. Retail is actually expanding, consumers are shopping and sales are up. It’s just a matter of where, when and how consumers buy goods that are shifting. If brands want to succeed, they need to seek creative ways to “engage” consumers into a brand rather than “pushing” the brand at them. 38. Top Seven Chrome Extensions for Product Managers Top Chrome extensions for Product Managers – 2021 39. How Did Pocket Create a Habit Forming Product? A simple analyses of Pocket app using the infamous Hook Framework 40. How to Optimize Your Product Copy for Search Engines No one will buy your product if they can’t find it. Making your products visible to people who need your offering is a key aspect of selling to online buyers. 41. 6 Most Common Product Marketing Mistakes Founders Make At this point, my co-founder and I have helped over a dozen software companies with their product marketing (both as an agency, and freelancers). 42. How The North Face Thrived Throughout the Pandemic: An Interview with Steve Lesnard Steve Lesnard joined the Product Talk Podcast to discuss how The North Face not only survived the pandemic but managed to thrive during it. 43. CeFi vs DeFi: Main Features and Differences in Marketing This article is about differences and features in CeFi and DeFi product marketing. I give examples of the marketing instruments  you can use in GTM Strategy. 44. The First Week of YourStack 2,281 days ago Product Hunt launched as a tiny newsletter. The early days were especially chaotic. I didn’t get much sleep, skipped the gym, and buried my head into work. While unsustainable (I'm not advocating overworking yourself!), it was sooo fun and energizing to build something brand new. It was also scary. New products – especially those driven by community – are incredibly fragile. 7 days ago we launched a beta of YourStack (with a grammatically incorrect, non-editable tweet – lol). Instantly those same nostalgic feelings from the early days of Product Hunt re-emerged. The response has been very encouraging. Alex was kind enough to write about it on BuzzFeed. Lucas followed with a story on TechCrunch. And a bunch of folks shared support on Twitter and Product Hunt. But the product is very early and our roadmap is deep. So far we've onboarded only ~4% of those that have signed up as we build tooling to scale (thanks for all your patience!). I wake up each morning nervous but excited to read your feedback and wild ideas as the team and I continue building. If you get a chance, create your account and start stacking. We're whitelisting new friendly folks each day. Feedback? I'd love to hear it at ryan@yourstack.com. Cheers,
Ryan Hoover (@rrhoover) 45. Product Marketing Tech Stack Options Under $100/Month User acquisition is one of the biggest struggles growing SaaS and app companies face. The right product marketing tech stack will push the number of new and active users up and decrease customer acquisition costs at the same time – the perfect recipe for a growing product. But marketing tools cost money, and growing businesses have tight budgets to keep. Use these tools to build a killer product marketing strategy at a total cost of less than $100 per month. 46. Deconstructing Content Marketing [Deep Dive] Before the SaaS revolution started booming, software companies used to be incredibly sales-driven, and the processes they focused on were plain old-school — aggressive engagement with customers and persuasive discussions centered around the product were known to be the norm. 47. 7 Tips to Make your Presentation Balanced and Appealing Did you know that your audience can judge the effectiveness/appeal of your presentation in as little as five seconds? Or the attention span of most people (during a presentation) is for about 10-15 minutes? 48. Hacking Your Product Hunt Launch [A How-To Guide] If you still don’t know what Product Hunt is and why you should do your launch on this platform, I suggest you read this article, this is the official Product Hunt post, a must read. 49. How to Write Engaging Copy That Makes Buyers Fall in Love with Your Product When I joined a copywriting agency, the first thing we did was learn how to use trigger words in our copy. One of my first projects was writing a product description for a sex toy. I had to write a copy that encouraged the target audience to buy “sex toys for couples.” 50. Product Marketer vs. Growth Marketer vs. Content Marketer: How to Choose Your First Marketing Hire Product, growth, and content marketers all have unique roles to play in your tech startup, but which should you prioritize? This article answers that question. Thank you for checking out the 50 most read stories about Product Marketing on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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Let's learn about via these 60 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Customer Engagement /Learn Repo 1. Will Uber do a YouTube? While disruptive services and online availability of service providers are increasingly gaining control over the market, collecting user feedback is also becoming essential. While serving more customers simultaneously has become easier, it is obvious that the quality of services offered is the primary aspect of service evaluation. And the reviews play a big role in deciding it. 2. 11 Customer Support Response Templates That Will Improve Your Email Management Canned responses help you deliver quick responses while communicating with customers. Here are the most common canned responses that every support rep may need. 3. 4 Ways to Acquire Customers as a Sports Betting Business Are you trying to enter the sports betting market? Find out the best-performing strategies for attracting new fans to your sportsbook. 4. Startup Interview with Asaf Nevo,CEO & Co-Founder, Pico - Get Personal Pico - Get Personal's native gamifications and technology turns digital engagement on social into valuable first-party data for organizations of all kinds. 5. 5 Ways to Use AI to Improve Customer Success Artificial Intelligence is a powerful set of tools that can be used throughout a business' operations allowing them to achieve better customer success. 6. A Culture Lesson From A Fuck Off Sign Just around 2012 is when I received a lesson of a lifetime, to appreciate culture differences and how very deep they can get. 7. How to Boost Customer Engagement in Digital Marketing customer engagement is key to keeping customers
happy and loyal. 8. What is Data Collection and What are The Most Important Events to Track When your company is client-oriented, one of your priority tasks is understanding your clients’ problems and gathering insights on how people use your product and when exactly they benefit from it. 9. Predicting if the Customer is Satisfied by the Resolution Case study to predict if customer is satisfied by the resolution. 10. Best Customer Acquisition Tools for Rapid Sales Growth Read this article to find out the best customer acquisition channels and the best practices to measure customer metrics so that you can improve your business. 11. User Experience Vs Customer Experience: Are They the Same? The rise of customer-centricity has led to the emergence of several novel concepts in the field of marketing. Interestingly, the hottest ones seem to have the word “experience” in them, with user experience and customer experience being the most familiar examples. In the era when customers often engage with the service through a website or an app, the line between UX and CX is understandably blurry. However, while certainly related and mutually dependent, they still require somewhat different approaches and sets of tools. 12. Customer Engagement is the Key to Achieving Better CX How customer engagement and customer experience are related. 13. Community Is the Core of Any Crypto Project: Building a Community 72k Strong The community is the core of any crypto project. This is a trust factor for product users, investors, and media. 14. 11 Customer Feedback Software that Would Revolutionize 2022 Several customer feedback software is taking the market by storm. Experience the functions of some of the leading survey tools dominating 2022. 15. Practical Tips to Improve Customer Experience with Data According to a report, almost 70% of companies compete on customer experience. 16. Creating a Notification-Based Game via Unity and Courier I built a notification-based game with Unity Engine, Courier, Twilio, and Mailjet. This post discusses how I used Courier to build Rain Spikes. 17. Interactive Content Is Changing Customer Experience (CX) For Good Forget the metaverse: Interactive content is already here, and it's creating a better Internet. 18. 5 Traits to Look for When Choosing a Business Partner The days when your company was forced to accept expensive consultants who delayed your project by a few months are over. We interviewed key global executives to find out what methods they use to find partners. 19. Using an Omnichannel Approach for Exceptional Customer Experience 63% of customers expect companies to provide customer service across all their social media channels and to use social networks to connect with brands. 20. Quantifying The ROI of Email Marketing The return on investment (ROI) for your email marketing is important so you'll need to know how to maximize it. Look at your bounce rate, open, and click rates. 21. How We Increased User Retention in the LoopMessage App Using Free Messaging The LoopMessage app helped increase user retention several times. This was reached by sending free personalized messages via popular instant messengers. 22. How AR and VR are Propelling Businesses to New Engagement Levels Deploying new technologies, such as VR and has become the next battleground to building greater engagement levels and improving customer experiences. 23. Diversity in the Workplace: A Challenge for HR Increasing diversity among leadership teams is a critical component of company culture. Studies show that people feel more comfortable around leaders who are not like them. Therefore, having a homogenous leadership team can be harmful, sending a bad message to other employees. Furthermore, insufficient inclusion efforts can alienate employees from outside the company culture, resulting in stagnant organizational growth and disengagement. A diverse leadership team is critical to company success; it is also associated with higher innovation, productivity, and revenue per employee. 24. Building Notification Systems with the End Users In Mind Before building a notification system, you should know the requirements for your users who will be creating the notifications for your end users. 25. 5 Ways to Drive Better Engagement Within Your Talent Marketplace Here are five ways to build engagement for your talent marketplace. 26. How To Improve Customer Retention and Increase LTV Retaining customers is the number one growth strategy for business. Learn how to retain your customer and improve lifetime value (LTV). 27. Customer Education: How to Educate Customers Profitable for Business Customer education is a powerful growth marketing tool for online businesses. I discuss how to create a customer education strategy for your company in 2023. 28. 5 Quick Tips on How to Improve Customer Satisfaction In this article, you'll learn what to do to satisfy your customers and how to build a stable and lucrative relationship. 29. Smarter Customer Engagement Flows with Courier's New Segment Integration oday, we’re excited to announce that teams using Segment can now ingest notification usage data from Courier, so that it can serve as a basis for new insights. 30. 6 Strategies to Help You Narrow Down Your Brand Positioning Product positioning, in its simplest form, is why a product or service is a good fit for the market, unique features, and better than competing products. 31. How Digital Transformation Is Redefining Customer Experience Digital transformation gives a personalized look into the customer’s purchasing habits along with their likes and dislikes. Making it easy for brands to provide a tailor-made premium customer experience based on personal preference & unspoken need. 32. How To Clean An Email List To Improve  Deliverability A clean email list is important to ensure you are sending emails only to people who are interested. Remove inactive subscribers to improve email deliverability. 33. How to Use Gamification to Boost Conversions on your Site Learn how to gamify website content to get more conversions on your website 34. The Importance Of Data in Sales in 2022 35. Ok Google, Improve My Retention Rate: A Customer-Centric Approach to the Crisis COVID-19 shifted the earth from beneath the business world’s feet. Small, medium, and large businesses alike closed their doors and weren’t sure when they would open them again. As the pandemic dug in, most businesses (I hope!) put the health and safety of their employees first. Only once they could ensure their team’s safety, were they able to start putting a plan in place for recovery. 36. 5 Bulletproof Ways to Master Your Personalization Strategy in 2020 The concept of personalization in marketing has undergone a paradigm shift in recent years. From merely addressing customers by their names and wishing them on their birthdays to powering ML/AI-driven conversations and recommendations today - personalization
is every brand’s ground reality, need of the hour, and fundamental challenge. 37. What Is Average Handle Time (AHT) and How To Reduce It: 20 Tips & Tactics Average handle time is a key metric to focus on when trying to improve your customer support strategy. Read more about its major contributing factors, and what 38. The Rise of Cobrowsing For Customer Support Reps Take a look at any industry and it’s likely that online support is expanding. The sooner you adapt to this technological trend, the better equipped you are to sustain and grow in your industry. 39. The Retail Evolution: Customers Demand Enhancements to the Shopping Experience Andreas Hassellof, Founder and CEO of Ombori, explores how changing customer behaviors impact retail, and drive retail technology innovation. 40. How IoT is Transforming Transportation, Supply Chain, and Logistics In today’s connected world IoT can speed up the rate of delivery actions of vehicles used for logistics and transportation purposes. 41. 7 Reasons Why Customer Success Function Fails Ever wondered why most of the SaaS companies have got Customer Success wrong? Check out some pitfalls that caused  the Customer Success effort to fail. 42. 4 Creative Ways to Generate Buzz for Your Product Launch Are you having trouble generating buzz around your new product launch? Check out our guide on how to generate buzz for your new product launch. 43. How Technological Amalgamation With Business Pays Off in Direct Sales Industry Technology is impacting all major industries, both positively and negatively. Understand how beneficially the technology recasts the direct selling industry. 44. Setting Up Notification Systems to Observe and Analyze Your Application By building observability and analytics into your notification system, you can identify and quickly resolve issues by monitoring how your product is performing. 45. How to Take Your Social Media Visuals to Another Level This Summer Thanks to the novel coronavirus, the main way for most of us to hang out with friends and family this year has been online. Online multiplayer gaming and online watch parties became 2020’s big social occasions, as the only ways you can get together without risk of infection. Individuals sheltering in place, especially younger people who are more likely to live alone, are searching online for a new sense of community. 46. SaaS Startups: How to Build Strong Customer Onboarding Experience “You’re searching for a web app to do something. You found a search result that looks promising and decided to try it. After creating an account and reaching the dashboard, You click on different menus and look for that one thing you have in your mind. 47. 7 Secrets to Enhance Your Brands Customer Engagement on Social Media In today's world, many businesses rely on social media to level up their game of marketing and brand awareness. With 3.8 billion social media users worldwide, there's a vast field of opportunities to interact with your target audience as a  brand. 48. 6 Customer Retention Strategies Every Small Business Owner Should Know Generating leads and attracting new customers are keys to ensure initial business success. 49. How to Build Product Notifications That Users Will Love Consider your users and their many different experiences and UX preferences as you design and build your product and notifications, not after. 50. Improve Monetization By Optimizing In-Store Analytics and Trendspotting Over the years analytics has created an important space for itself in the retail industry where it helps to bridge the gap between what retailers have to offer and what the customers want. 51. Top 6 Tactics to Turbocharge Your Marketing Strategy The internet provides a vast array of marketing opportunities. You can use social media, email marketing, and even Pay-Per-Click advertising to reach a wide audience. However, if you want to really reach more people and get more followers, you need to use the best marketing tactics. 52. What are the Reasons Behind Your Sluggish Business Growth Every entrepreneur wants to see his business making profits and growth. But, the sober truth is--not all businesses flourish. Running a successful business is not at all an easy affair. In addition to the investment of time and money, business owners have to be ambitious, careful and able to take calculated risks for running a successful business. 53. How ChatGPT Can Help Identify the Target Audience for Google and Facebook Ad Campaigns As an online entrepreneur, chatGPT can help identify your target audience for Facebook and Google ads campaigns. Here is a step-by-step guide on how to use chatGPT to identify your target audience online. 54. 5 Amazing Ways to Boost Your Customer Retention Rate Improving your customer retention rate matters, and it’s something worth investing in. So here are 5 ways to know how to retain your existing customers easily. 55. Is Tech Making or Breaking Your Customer Experience? Technology can be a two-edged sword. It can deliver incredible results and create unique problems. The customer experience (CX) sector, in particular, has been heavily impacted by technology for quite some time. 56. Interview with Maxime Jumelle About Using n8n at Blent.ai 🚀 Blent.ai has been using n8n for increasing customer engagement and improving customer experience. We talked with Maxime Jumelle, co-founder of Blent.ai to learn more. 57. 7 Ways to Turn Customers into Brand Evangelists (with Examples) Here are 7 ways to turn your customers into brand evangelists with real-world examples. 58. 7 Critical Customer Satisfaction Metrics You Need to Measure Measuring satisfaction – the very concept seems weird. It’s either there or not, what’s there to measure? Yet, it turns out that you can, in fact, measure customer satisfaction, and in more than one way. 59. 5 Ways to Put Your Content Promotion on Autopilot Have you been sending out newsletters, launching social media campaigns, and doing content promotion work with age-old manual labor? 60. AI-driven Sentiment Analysis: Hacking Emotions to Boost Customer Service “People will forget what you said, people will forget what you did, but people will never forget how you made them feel.” Thank you for checking out the 60 most read stories about Customer Engagement on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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