Cloudsmith

cloudsmith

and distribution are becoming increasingly complex, and potential vulnerabilities and threats are multiplying by the dozen. This makes the need for robust security measures even more critical - everything you’ve built could be at risk. Software development Recognizing this, Cloudsmith has always been at the forefront of ensuring that are managed efficiently and securely. As a part of this continuous effort, we have recently released a suite of Policy Management features to help streamline security operations, ensuring efficient governance of software artifacts that are actively fortified against lurking threats. software artifacts Policy Management: Centralized Oversight and Control Policy management is a crucial component that ensures a secure, compliant, and efficient software environment. At its core, policy management provides a centralized system to define, implement, and enforce rules and protocols related to software artifacts. This centralized approach ensures that there's a consistent application of security measures across the board, reducing the chances of vulnerabilities slipping through the cracks. Cloudsmith's policy management system is designed with the user in mind, with the following pillars at the forefront: : With an intuitive interface, Cloudsmith ensures that setting up and managing policies is straightforward, even for those who might not be deeply technical. This user-friendly approach ensures that teams can quickly implement and adapt policies without a steep learning curve. Ease of use : Recognizing that no two software environments are the same, Cloudsmith's policy management system is built to be flexible. Users can customize policies to fit their specific needs, ensuring that the security measures are tailored to their unique environment. Flexibility : Cloudsmith's policy management doesn't just focus on one aspect of security - it provides a holistic approach, covering everything from package signing and access controls to vulnerability scanning. This comprehensive coverage ensures that all potential security threats are addressed. Comprehensive coverage : Once policies are set, Cloudsmith ensures they're consistently enforced. The system automatically checks for compliance, ensuring that any deviations are quickly identified and addressed. Compliance enforcement Authentication Policies: Fortifying Access Control Authentication policies are predefined sets of rules that determine who can access what. They are the backbone of a secure software environment, ensuring that unauthorized users are kept at bay. Cloudsmith's recent enhancements in this domain are a testament to its commitment to robust security. The newly introduced authentication policies now allow organizations to enforce API-Key rotation at an organizational level. While users previously had the option to manually rotate their keys, the game has changed. Organizations can now set specific time periods for key refreshes or outright block keys that haven't been updated within the stipulated timeframe. This proactive approach ensures that stale or potentially compromised keys don't linger, thereby bolstering the platform's security. Drawing lessons from the on January 4, 2023, Cloudsmith advocates for a series of measures to enhance pipeline security. In response to the breach, Cloudsmith has added support for . These tokens are a more secure alternative to long-lived credentials, reducing the risk of unauthorized access. By using OIDC tokens, users can avoid storing these credentials in CircleCI, further safeguarding their operations. CircleCI breach OIDC tokens License Policies: Ensuring Compliance and Governance Software licensing dictates how software can be used, modified, and distributed. While these licenses offer a framework for software utilization, they can also come with certain restrictions or obligations. For instance, some licenses may impose clauses that restrict the use of the software or mandate the sharing of modifications made to the software. Ensuring compliance with these licenses is not just a matter of ethical software use, but also a legal necessity. Cloudsmith's license policies are designed to simplify complexity. With the ability to flag or quarantine packages that fall under an organization's "do not use" category, Cloudsmith ensures that you're always in compliance with licensing requirements. This is especially crucial for licenses that have restrictive clauses or necessitate sharing modifications. By automating these license checks, Cloudsmith saves you time and significantly reduces the risks associated with non-compliance. of the importance of license compliance can be seen in the recent challenges faced by farm equipment maker, John Deere. The Software Freedom Conservancy (SFC) highlighted John Deere's non-compliance with the General Public License (GPL). The GPL requires users of such software to share source code, ensuring a level of transparency and collaboration. The SFC's contention was that John Deere, by not living up to these licensing commitments, was jeopardizing farmers' ability to repair their tools, impacting their livelihood. A real-world example John Deere's non-compliance with GPL is a stark reminder of the potential legal and ethical pitfalls of not adhering to software licenses. The company faced multiple lawsuits from farmers and even drew attention from the Justice Department and the White House. While John Deere did eventually strike a deal to provide farmers with greater access to their equipment's internal workings, the situation underscores the importance of license compliance. Cloudsmith's license policies aim to prevent such scenarios. By ensuring that organizations are always in line with their software licensing commitments, Cloudsmith helps create an environment of trust, transparency, and legal compliance. Vulnerability Policies: Proactive Threat Mitigation The emphasis on continuous integration and deployment has brought about a parallel need for continuous security. Vulnerability management, once a periodic audit activity, has now become a daily concern. This makes it imperative for teams to have tools that can detect and address vulnerabilities as early as possible in the software lifecycle. Cloudsmith’s policies are designed to be both comprehensive and customizable, ensuring that teams can maintain a robust security posture without compromising on agility. One of the standout features of Cloudsmith's vulnerability policies is the automatic scanning of artifacts for Common Vulnerabilities and Exposures (CVEs) upon upload. The real power of these policies lies in the automated actions they can trigger. Depending on the detected vulnerabilities and their severity, Cloudsmith can either flag them for review or quarantine the affected artifacts, effectively blocking downloads. This level of automation ensures that potential threats are addressed even before they can make their way into production environments. For instance, a team might choose to get notified for low or medium-severity vulnerabilities but block artifacts with high or critical vulnerabilities outright. Cloudsmith's vulnerability policies are not a one-size-fits-all solution. They offer granular controls, allowing teams to specify actions based on package names, versions, or version groups. This ensures that the policies are in line with the specific risk appetites and operational nuances of different projects or teams. But what about vulnerabilities discovered after the initial upload? Cloudsmith has that covered too. Teams can trigger additional scans post-upload, ensuring that their artifacts are continuously evaluated against the latest threat intelligence. This continuous evaluation ensures that even if a vulnerability is discovered after the initial scan, it can be promptly addressed, keeping the software environment secure and compliant. As software threats evolve as fast as the software itself, Cloudsmith's vulnerability policies offer teams the tools they need to stay a step ahead, ensuring that security is constantly proactive. The Bigger Picture: Cloudsmith's Holistic Approach to Security Cloudsmith's security strategy is about anticipating future challenges, adapting to technology’s changing landscape, and ensuring that the platform remains several steps ahead of potential risks. Our newly introduced features, including Policy Management, are a testament to this forward-thinking approach - they are designed to lay the groundwork for a safer, more secure future in software distribution. Teams that build and deploy mission-critical software need sophisticated controls.  These software teams look for fine-grained user management policies, role-based access controls, and enterprise-class enforcement and reporting.  Cloudsmith was built with these teams in mind.

Enhanced Security with Policy Management: Cloudsmith's Perspective

Seguridad mejorada con gestión de políticas: la perspectiva de Cloudsmith

Sécurité améliorée grâce à la gestion des politiques : le point de vue de Cloudsmith

नीति प्रबंधन के साथ उन्नत सुरक्षा: क्लाउडस्मिथ का परिप्रेक्ष्य

ポリシー管理によるセキュリティの強化: Cloudsmith の視点

Segurança aprimorada com gerenciamento de políticas: a perspectiva da Cloudsmith

Bảo mật nâng cao với quản lý chính sách: Quan điểm của Cloudsmith

通过策略管理增强安全性：Cloudsmith 的观点

Welcome back to the series where we have been building an application with that incorporates tooling from . So far, we’ve created a pretty cool app that uses AI to generate text and images. Qwik AI OpenAI Intro & Setup Your First AI Prompt Streaming Responses How Does AI Work Prompt Engineering AI-Generated Images Security & Reliability Deploying Now, there’s just one more thing to do. It’s launch time! https://www.youtube.com/watch?v=pob822xaT4Y&embedable=true I’ll be deploying to ‘s cloud computing services (formerly ), but these steps should work with any VPS provider. If you don’t already have a hosting provider, you can sign up at to get $100 in cloud computing credits. Akamai Linode linode.com/austingil Let’s do this! Setup Runtime Adapter There are a couple of things we need to get out of the way first: deciding where we are going to run our app, what runtime it will run in, and how the deployment pipeline should look. As I mentioned before, I’ll be deploying to a VPS in Akamai’s connected cloud, but any other VPS should work. For the runtime, I’ll be using Node.js, and I’ll keep the deployment simple by using Git. Qwik is cool because it’s designed to run in multiple JavaScript runtimes. That’s handy, but it also means that our code isn’t ready to run in production as is. Qwik needs to be aware of its runtime environment, which we can do with adapters. We can access, see, and install available adapters with the command, . This will prompt us with several options for adapters, integrations, and plugins. npm run qwik add For my case, I’ll go down and select the adapter. It works well on a VPS running Node.js. You can select a different target if you prefer. Fastify Once you select your integration, the terminal will show you the changes it’s about to make and prompt you to confirm. You’ll see that it wants to modify some files, create some new ones, install dependencies, and add some new NPM scripts. Make sure you’re comfortable with these changes before confirming. Once these changes are installed, your app will have what it needs to run in production. You can test this by building the production assets and running the command. (Note: For some reason, always hangs for me, so I run the client and server build scripts separately). serve npm run build npm run build.client & npm run build.server & npm run serve This will build out our production assets and start the production server listening for requests at http://localhost:3000. If all goes well, you should be able to open that URL in your browser and see your app there. It won’t actually work because it’s missing the OpenAI API keys, but we’ll sort that part out on the production server. Push Changes to Git Repo As mentioned above, this deployment process is going to be focused on simplicity, not automation. So rather than introducing more complex tooling like Docker containers or Kubernetes, we’ll stick to a simpler, but more manual process: using Git to deploy our code. I’ll assume you already have some familiarity with Git and a remote repo you can push to. If not, please go make one now. You’ll need to commit your changes and push it to your repo. git commit -am "ready to commit 💍" & git push origin main Prepare Production Server If you already have a VPS ready, feel free to skip this section. I’ll be deploying to an Akamai VPS. If you don’t already have an account, feel free to sign up at for $100 in free credits. linode.com/austingil I won’t walk through the step-by-step process for setting up a server, but in case you’re interested, I chose the Nanode 1 GB shared CPU plan for $5/month with the following specs: Operating system: Ubuntu 22.04 LTS Location: Seattle, WA CPU: 1 RAM: 1 GB Storage: 25 GB Transfer: 1 TB Choosing different specs shouldn’t make a difference when it comes to running your app, although some of the commands to install any dependencies may be different. If you’ve never done this before, then try to match what I have above. You can even use a different provider as long as you’re deploying to a server to which you have SSH access. Once you have your server provisioned and running, you should have a public IP address that looks something like . You can log into the server from your terminal with the following command: 172.100.100.200 ssh root@172.100.100.200 You’ll have to provide the root password if you have not already set up an authorized key. We’ll use Git as a convenient tool to get our code from our repo into our server, so that will need to be installed. But before we do that, I always recommend updating the existing software. We can do the update and installation with the following command. sudo apt update && sudo apt install git -y Our server also needs Node.js to run our app. We could install the binary directly, but I prefer to use a tool called , which allows us to easily manage Node versions. We can install it with this command: NVM curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.7/install.sh | bash And once NVM is installed, you can install the latest version of Node with: nvm install node Note that the terminal may say that NVM is not installed. If you exit the server and sign back in, it should work. Upload, Build, & Run App With our server set up, it’s time to get our code installed. With Git, it’s relatively easy. We can copy our code into our server using the command. You’ll want to use your own repo, but it should look something like this: clone git clone https://github.com/AustinGil/versus.git Our source code is now on the server, but it’s still not quite ready to run. We still need to install the NPM dependencies, build the production assets, and provide any environment variables. Let’s do it! First, navigate to the folder where you just cloned the project. I used: cd versus The install is easy enough: npm install The build command is: npm run build However, if you have any type-checking or linting errors, it will hang there. You can either fix the errors (which you probably should) or bypass them and build anyway with this: npm run build.client & npm run build.server source code has working types if you want to check that. The latest version of the project The last step is a bit tricky. As we saw above, environment variables will not be injected from the file when running the production app. Instead, we can provide them at runtime right before the command like this: .env serve OPENAI_API_KEY=your_api_key npm run serve You’ll want to provide your own API key there in order for the OpenAI requests to work. Also, for Node.js deployments, there’s an extra, necessary step. You must also set an variable assigned to the full URL where the app will be running. Qwik needs this information to properly configure their protection. ORIGIN CSRF If you don’t know the URL, you can disable this feature in the file by setting the options property to : /src/entry.preview.tsx createQwikCity checkOrigin false export default createQwikCity({
  render,
  qwikCityPlan,
  checkOrigin: false
}); This process is , but it’s recommended not to disable, as CSRF can be quite dangerous. And anyway, you’ll need a URL to deploy the app anyway, so better to just set the environment variable. Note that if you make this change, you’ll want to redeploy and rerun the build and serve commands. outlined in more detail in the docs ORIGIN If everything is configured correctly and running, you should start seeing the logs from Fastify in the terminal, confirming that the app is up and running. {"level":30,"time":1703810454465,"pid":23834,"hostname":"localhost","msg":"Server listening at http://[::1]:3000"} Unfortunately, accessing the app via IP address and port number doesn’t show the app (at least not for me). This is likely a networking issue, but it is also something that will be solved in the next section, where we run our app at the root domain. The Missing Steps Technically, the app is deployed, built, and running, but in my opinion, there is a lot to be desired before we can call it “production-ready.” Some tutorials would assume you know how to do the rest, but I don’t want to do you like that. We’re going to cover: Running the app in background mode Restarting the app if the server crashes Accessing the app at the root domain Setting up an SSL certificate One thing you will need to do for yourself is buy the domain name. There are lots of good places. I’ve been a fan of and . I don’t think there’s a huge difference for which registrar you use, but I like these because they offer WHOIS privacy and email forwarding at no extra charge on top of their already low prices. Porkbun Namesilo Before we do anything else on the server, it’ll be a good idea to point your domain name’s A record ( ) to the server’s IP address. Doing this sooner can help with propagation times. @ Now, back in the server, there’s one glaring issue we need to deal with first. When we run the command, our app will run as long as we keep the terminal open. Obviously, it would be nice to exit out of the server, close our terminal, and walk away from our computer to go eat pizza without the app crashing. So we’ll want to run that command in the background. npm run serve There are plenty of ways to accomplish this: Docker, Kubernetes, Pulumis, etc., but I don’t like to add too much complexity. So for a basic app, I like to use , a Node.js process manager with great features, including the ability to run our app in the background. PM2 From inside your server, run this command to install PM2 as a global NPM module: npm install -g pm2 Once it’s installed, we can tell PM2 what command to run with the “ ” command: start pm2 start "npm run serve" PM2 has a lot of really nice features in addition to running our apps in the background. One thing you’ll want to be aware of is the command to view logs from your app: pm2 logs In addition to running our app in the background, PM2 can also be configured to start or restart any process if the server crashes. This is super helpful to avoid downtime. You can set that up with this command: pm2 startup Ok, our app is now running and will continue to run after a server restart. Great! But we still can’t get to it. Lol! My preferred solution is using . This will resolve the networking issues, work as a great reverse proxy, and takes care of the whole SSL process for us. We can follow the and run these five commands: Caddy install instructions from their documentation sudo apt install -y debian-keyring debian-archive-keyring apt-transport-https curl
curl -1sLf 'https://dl.cloudsmith.io/public/caddy/stable/gpg.key' | sudo gpg --dearmor -o /usr/share/keyrings/caddy-stable-archive-keyring.gpg
curl -1sLf 'https://dl.cloudsmith.io/public/caddy/stable/debian.deb.txt' | sudo tee /etc/apt/sources.list.d/caddy-stable.list
sudo apt update
sudo apt install caddy Once that’s done, you can go to your server’s IP address, and you should see the default Caddy welcome page: Progress! In addition to showing us something is working, this page also gives us some handy information on how to work with Caddy. Ideally, you’ve already pointed your domain name to the server’s IP address. Next, we’ll want to modify the Caddyfile: sudo nano /etc/caddy/Caddyfile As their instructions suggest, we’ll want to replace the line with our domain (or subdomain), but instead of uploading static files or changing the site root, I want to remove (or comment out) the line and enable the line, pointing the reverse proxy to my Node.js app running at port 3000. :80 root reverse_proxy versus.austingil.com {
        reverse_proxy localhost:3000
} After saving the file and reloading Caddy ( ), the new Caddyfile changes should take effect. Note that it may take a few moments before the app is fully up and running. This is because one of Caddy’s features is provisioning a new SSL certificate for the domain. It also sets up the automatic redirect from HTTP to HTTPS. systemctl reload caddy So now, if you go to your domain (or subdomain), you should be redirected to the HTTPS version running a reverse proxy in front of your generative AI application, which is resilient to server crashes. How awesome is that!? Using PM2, we can also enable some load-balancing in case you’re running a server with multiple cores. The full PM2 command, including environment variables and load-balancing, might look something like this: OPENAI_API_KEY=your_api_key ORIGIN=example.com pm2 start "npm run serve" -i max Note that you may need to remove the current instance from PM2 and rerun the start command, you don’t have to restart the Caddy process unless you change the Caddy file, and any changes to the Node.js source code will require a rebuild before running it again. Hell yeah! We did it! Alright, that’s it for this blog post this series. I sincerely hope you enjoyed both and learned some cool things. Today, we covered a lot of things you need to know to deploy an AI-powered application: and Runtime adapters Building for production Environment variables Process managers Reverse-proxies SSL certificates If you missed any of the previous posts, be sure to go back and check them out. Intro & Setup Your First AI Prompt Streaming Responses How Does AI Work Prompt Engineering AI-Generated Images Security & Reliability Deploying I’d love to know what you thought about the whole series. If you want, you can play with the app I built at . Let me know if you deployed your own app, and I’ll link to it from here. Also, if you have ideas for topics you’d like me to discuss in the future, I’d love to hear them :) versus.austingil.com If you liked this project and are curious to see what it might look like as a app, where he converts this existing app over. UPDATE: SvelteKit check out this blog post by Tim Smith Thank you so much for reading. If you liked this article and want to support me, the best ways to do so are to , , and . share it sign up for my newsletter follow me on Twitter Originally published on . austingil.com

AI for Web Devs: Deploying Your AI-Powered App with Qwik and OpenAI

What if the Single Most Important Idea in Economics No Longer Works?

The long awaited of this series has arrived. It has taken me a significant amount of time longer to put together than I had anticipated. Now the wait is over, here it is… Part 2 of 3 This list contains companies working on artificial intelligence and machine learning products primarily for business use, non-specific to any industry. Industry specific AI will be the final part of this series. Rise of artificial intelligence is rapidly taking over the world, especially countries like Anguilla; a small island in the Eastern Caribbean with the use of their .ai top level domain for companies within the AI and robotics industry. But in all seriousness, AI is without a doubt accelerating much faster than is probably known and much more established within our daily lives than most would realise. Conducting this research has demonstrated sheer scale of the landscape and progress of the artificial intelligence industry. “Already humans and AI are co-evolving and no one has paid attention to this yet…” “When we search on Google, it’s an AI deciding what we should see. When a dating site matches two people together there’s a machine learning algorithm… that is getting people together, that then have babies. And so in effect you have this machine learning algorithm that is breeding humans.”— Sam Altman, discussing AI . here In the case of the companies listed below, business and AI are co-evolving. With so many websites to go through and dissect there may be some descriptions or names that need changing. Please let me know if that’s the case or if you think there are companies I should add to the list. Shoutout to me , and I’ll get on to it! here Artificial Intelligence for businesses (enterprise intelligence): 🔉 Audio — language transcription and recognition — ? — transcribes insights from phone calls, video footage, and online — discover more customer and employee conversations** **— makes sound searchable — critical insights about your customers conversations — building blocks to add messaging, voice, and video to web+apps Capio Clover Intelligence Deepgram Gridspace MindMeld — advanced AI to power conversational interface Nexidia — turns customer interactions into valuable insights Pop Up Archive TalkIQ Twilio 📊 Business Intelligence & Analytics — optimise and autonomously IT and business operations** ** —behavioural AI for IoT — a suite of intelligent applications for enterprise — a range of products to improve enterprise products** ** — automates repetitive tasks within your business — making complex data science easy for enterprise Arago/HIRO Arimo Ayasdi DataRobot Dataminr — discovers events and breaking information before the news — helps you to answer questions about your business — a smarter Salesforce — adds intelligent decision making to web and mobile apps — helps you index, search, visualise and analyse your data — is a framework for temporal pattern recognition and prediction — to transform raw data into useful information automatically — helps you monitor server bugs Electra by Lore Einstein Fuzzy AI Logz.io NXT AI Paxata Poweredby.ai Sundown UBIX Ruths.ai — helps you do more with your data — a marketplace for analytics — captures, categorises, and extracts key information from all your data — fast data insights using search — solves big data better, faster and at less cost — find hidden value in complex human and business ecosystems — helps to optimise pricing Exchange.ai Owl.ai AnswerRocket iSeek.ai Ecosystem.AI Prix 🍎 Core AI — a common API for many algorithms, functions and models — workbench for neural networks — advanced industry specific ML for the enterprise — advanced machine learning for enterprise — advanced machine learning for enterprise — open source machine learning and deep learning platform — advanced machine learning for enterprise — deep learning as computational system — advanced machine learning for enterprise — advanced machine learning for enterprise — range of financial, ecommerce and digital marketing AI products — open-source deep learning and ETL for enterprise on the JVM — advanced machine learning for enterprise — log Analysis for enterprises Algorithmia Arya CognitiveScale Digital Reasoning Fluid AI H2O.ai Loop AI Labs Nervana Petuum Scaled Inference Sentient Skymind Vicarious Loom Systems PipelineAI — solves the problem of production ML and AI at scale — building AI using neuroscience Ogma 📋 Data Capture — marketplace to automate simple processes — automate the discovery of objects at scale — automatically prepare any data for immediate & compliant use — helps structure data from social media and blog — automatically extract web pages as structured data — extract data from almost any website — training data, image annotation and more for enterprise** ** — tools for operations team to automate business processes Amazon Mechanical Turk CrowdAI Datalogue DataSift Diffbot Import.io Playment WorkFusion 🔬 Data Science — single platform for all predictive use cases — training data, image annotation for machine learning teams — data science platform for prototype, deploy, and run at scale — enterprise data science platform for R&D and production** ** — helps you learn, work, and play with machine learning models — makes data science teams more productive — helps DS teams put machine learning models into production — a platform to build, test, and deploy AI algorithms** **— research engine, capable of discovering complex patterns in data — makes data unification of data silos possible — helps put data into useful structures for analysis — allows data scientists to deploy and update predictive models rapidly — automate the writing of reports, websites, emails, articles and more BigML CrowdFlower Dataiku DataScience Domino Data Lab — platform for collaborating, building and deploying — makes DS accessible to analysts with OpenSource algorithms Exploratory Kaggle RapidMiner Seldon SherlockML Spark Tamr Trifacta Yhat Yseop 💻 Development — detects business incidents — develop more adaptive, trusted and programmable AI models — helps predict project timelines — adds intelligent decision making to web and mobile apps — connecting projects with the right team — augments your coding environment with web available knowledge — deep learning platform for prediction and personalisation — makes developing chatbots for your business easy — make your bot smarter, by helping it self learn — rapidly web and mobile app testing — increase server uptime and predict downtime — project management and chat software that’s easy for teams AnOdot Bonsai Deckard.ai Fuzzy.ai Gigster Kite Layer 6 AI Morph Ozz RainforestQA SignifAI Turtle Improve.ai — automatically optimises app content, design, pricing etc. — gesture recognition for developers — trains deep learning algorithms to learn like human brain — abstracts away the complexity of ML libraries like TensorFlow for more effective management of AI models — helps with decision making for designers, engineers and leaders — helps analyse algorithm Gesture.ai Cognitive Toolkit Bonsai Tangle Imandra 📂 Internal Data — helps you work together, improve productivity, and data indexing** ** — helps employees with tasks and access data using micro apps — better website analytics Alation Cycorp — a range of different AI enterprise products — takes the pain of cluster management away to focus on DS — helps predict project timelines — insight into online trends and other text analytics tools — AI platform for business Databricks Deckard.ai Gavagi IBM Watson Kyndi — helps knowledge workers process vast amounts of information — SaaS AI for risk management and operations — makes your business software smarter oneFactor Probot Sapho Sofia eContext — structure for unstructured data — create intelligent interactions between people, devices, and data — deep insights into customers and internal data —automate decision-making at scale Hayley RelativeInsight Rainbird 🤖 Machine Learning —No-code end-to-end AutoML tool that takes you from data to predictions in minutes* *__ — a range of different AI enterprise products — helps you focus your digital ad on people you want to target — analyse data in the form of images, speech, text and video — now apart of the Uber AI Labs — can do menial task work, saving time for employees — platform to unite siloed data for better recommendations — improves machine learning models 100x faster PI.Exchange — develop more adaptive, trusted and programmable AI models__ Bonsai Cycorp Datacratic deepsense.io Geometric Intelligence HyperScience Nara Logics SigOpt Amazon Machine Learn — ML-as-a-service, amongst other things — import predictive models and scale infinitely to answer existential questions Providence 📡 Sensor (IoT/IIoT) — platform delivers real-time operational insights for industry — learns about shoppers behaviour in your store — helps to unify application development and data science — sensor analytics solution for businesses — machine learning for manufacturing process optimisation — a range of workflow optimisation products for fuel and industry — helps you develop, deploy, and operate industrial apps — helps renewable energy companies utilise their data better — manufacturing analytics — automates data engineering for data science — add a voice assistant to your connected product — platform to manage the development for your IoT applications — a predictive platform for major industries — smart building management for commercial buildings Alluvium Black C3 IoT KONUX Imubit Maana Predix Planet OS Sight Machine Sentenai Snips ThingWorx Uptake Verdigris 📚 Text Analysis/Generation — creates summaries from your text and information in real-time — extract meaning from your text and visuals — text analytics and mining which works without any training** **—automatic knowledge acquisition from text — build profile and understand your users better — scaleable text analytics software — capture, measure, and act on customer feedback — scalable API to automate text classification — interprets your data more useful information — helps you find errors and inaccuracies in documents — free open-source library natural of language processing in Python — automates information extraction, management and analysis — turn text into insights — helps improve how your job ads are written — automate the writing of reports, websites, emails, articles and more Agolo AYLIEN Compreno Cortical.io — advanced language processing fido.ai IntroSpect by Lore Lexalytics Luminoso MonkeyLearn Narrative Science Qeep spaCy Salient Stride Textio Yseop 😎 Vision — add instant text capture functionality to mobile apps and more! — automated drones with vision and diagnosis capabilities — analyses subtle facial expressions to identify human emotions — makes every camera in the world smart — helps cameras to detect analyse the video feed — finds defects in wind turbines — extracts and transforms data from handwritten and typed forms — helps you to organise media libraries — visual analysis for medical and transport industry — image detection for a range of uses and industries — brand and face recognition — makes satellite imagery useful — the first intelligent cloud video platform** ** — computer vision for automative and human detection — matches similar products and helps to suggests combinations — facial recognition — uses facial recognition to help you decided on job candidates — medical data analysis and interpretation — recognises different objects and things — dedicated brand recognition for social networks — satellite image analysis — deep-learning based computer vision platform — planet monitoring and analysis using satellite imagery — satellite image analysis — is an eye and emotion tracking platform — understands and describes video content — image analysis primarily for industrial purposes ABBYY Achron Affectiva Algocian __ __i Angus.a Birds.ai Captricity Clarifai Cortica Deepomatic DeepVision Descartes Labs Flixsense FotoNation GrokStyle Haystack HireVue Lunit Inc. Matroid Netra Orbital Insight Pilot AI Labs Planet Spaceknow Sticky.ai Valossa Vidi CloudSight — high quality understanding of images within seconds — detects foreign and intentionally placed objects for security — a range of intelligent computer vision techniques Irvine Sensors Pilot.ai Originally posted → liamiscool.com

A list of artificial intelligence tools you can use today — for businesses (2/3)

As it was my first time at Web Summit I decided to free style, rather than research it to the point that my experience became full of appointments. Having the US election results smack bang in the middle of the event made for some very interesting conversations, what with everyone being so certain Clinton would do a home run! Lisbon itself was a stunning city, and the weather was just about right for a rain loving Paddy, hitting 18c making it almost tropical for my non sun loving skin. Despite the fact that I’m native to the Emerald Isle, and live in the birth place of Web Summit (Dublin), I’d never actually had any reason to attend. Tech was just never my jam… but what a difference a year makes! Being COO of , an online solution that simplifies AWS adoption, Web Summit was suddenly a ‘must have’ on my list of events this year. We were very honoured to be selected for the ALPHA programme, and had a booth on day 1 of the event. The day itself was almost 10 hours of non stop talking, at times we had several people waiting to speak with us from attendees, investors, developers and fellow ALPHA guys. Our cool t-shirts might have had something to do with it (thanks Maria 😉). Cloudwith.me There were endless invites to exclusive parties and dinners, messages on the Web Summit app from people from all walks of life wanting to meet up to discuss possible partnerships. The fact that simplifies something that is often integral to many start ups, developers, as well as bigger businesses, made it very easy for others to appreciate the value of our solution. Cloudwith.me All in all it was five fun filled days, one night we ending up at a bar on the rooftop of a multi-storey car park, and we were treated to traditional Fado singers over dinner which was a pleasant surprise. I came away with many exciting prospects, however that was not the biggest thing that I took away from Web Summit. What I learnt was that even living and working in an industry that is driven by , it’s the personal relationships you form that make a difference. This tech industry that we all love so much just wouldn’t be the same without that face to face connection. Just being able to share ideas, in some ways getting recognition for what you’re doing, how you’re doing it, the high and low points, and the challenges. Something that perhaps those closest to you will never quite be able to understand (fortunately not the case for me). technology I think Web Summit really hit the nail on the head with their focus on night summits. Without this, Web Summit would be just another big conference machine that churns out thousands of attendees who leave with a few free pens as the highlight of their visit. Despite meeting some very high profile people and people who are clearly in business for the love of money, the ones who really left an impression on me were the ones who were passionate, hustling every day because they believe in their dream! Whilst there most certainly are opportunists that prey on those desperate to launch their , there are also really genuine people who are willing to support your journey — all you have to do is listen. You might not have secured the investment you had hoped for, but if you take the time to listen to others in the same boat as you, you might find the secret ingredient that you’ve been missing. It could be the difference between success and failure. startup It’s smart to learn from your mistakes. It’s even smarter to learn from someone else’s. We’re living in a time where things are shifting across the globe, people want change (as recent UK and US election results demonstrate). I am a firm believer that the more things change, the more they stay the same. People just want to be heard, respected, encouraged, appreciated, valued and the best way to do this is simple…be nice and your journey will never be wasted. Web Summit is an unbelievable platform to meet people from every corner of life, and it’s an opportunity to be inspired by their journey. Sadly many of them may not achieve their potential, but for the rare few that have that unquenchable fire inside them, no amount of knock backs will throw them off course. When you talk, you are only repeating what you already know. But if you listen, you may learn something new ~ Dalai Lama It was people like Alan, Arturo, Eddy, Georgina, Greg, Ilana, and Thomas that made my experience so amazing and without them it might have been just another event.

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