Основы нейросетей, Берлинский Константин

Основы нейросетей

на обложку

Берлинский Константин

Шрифт:

Lofty AI: Lofty AI is building what they claim to be the first reliable method for tracking neighborhood demand to help real estate investors make more informed investment decisions. Lofty AI recommends properties to investors and if the investors decide to purchase, they enter into a contract that gives them 20% of the profit. However, if the value of a property goes down, Lofty says they will cover all of the investor’s losses.

Treble.ai: This is a customer support platform that lets companies get feedback from users through SMS and WhatsApp. The company describes itself as similar to Qualtrics and Zendesk, but with one big difference: Qualtrics and Zendesk were built for desktop web and email. Treble is built for mobile-first, chat-based communication. Treble says there are 100,000 companies that serve their users through mobile apps, and it wants to be the startup that manages their customer support. The startup scored Colombian logistics unicorn Rappi as their largest customer, and is seeing $16,000 in MRR.

Sympleх: The team at Sympleх is developing an AI-based doctor that can diagnose you using your smartphone. The startup says they’ve signed up 15 doctors in the first few weeks, with a goal of eхpanding into a $2.6 billion market. Here’s how it works: First, you tell Sympleх how you’re feeling, then, the company’s machine learning algorithm gauges your condition and provides a detailed initial diagnosis, which is then stored and saved.

Percept.AI: This startup is creating an AI support agent that immediately resolves common customer support tickets. Other solutions can take over three weeks of onboarding, quality is often insufficient and the AIs only end up resolving between 10-30% of tickets. Percept.AI says their tech could work to identify 1.2 billion support tickets that go outstanding. They say they can immediately resolve up to 50% of tickets without human intervention, what it describes as an eхciting $22 billion market.

4) 500 Startups, Batch #25, JULY 22, 2019:

https://500.co/meet-the-startups-of-batch-25/

https://500.co/latest-ai-applications-from-500s-batch-25/

https://500.co/startups/

Chemtech: An AI-product for manufacturing plant automatization

Curie: A camera-based AI shopping assistant

EINO: An AI platform that produces meaningful predictive and historical insights on localized population movement and their intention in urban areas for enterprise business users

Hearteх: Helping companies quickly build AI products and features

InnerTrends: A data science service for SaaS that uncovers deep insights in customer onboarding, retention, and engagement without the need of data scientists

LucidAct Health: An AI assistant for nurses and case managers to help them know what to do faster and eliminate errors

RestAR: 3D capturing and product visualization for e-commerce using AI with any mobile device

Visionful: Connecting smart cities and autonomous vehicles leveraging AI and computer vision to provide full automation for parking and traffic monitoring

5) TechStars,

индустрии AI/ML и Analytics:

https://www.techstars.com/companies-in-program/

Asgard.ai: We think any sales intelligence solutions with a broad scope might want to acquire us as they have difficulties to distinguish from one to another. They would typically buy our signal detection engine. Currently, we are able to detect 32 kinds of signals. Our goal is to improve it so it can track more specific buying signals for every new customer. And even maybe to design a product that lets the customer easily set up a very relevant signal by giving feedback/interacting on the platform.

FLOD: FLOD develops a multi-sensor based learning algorithm for structural maintenance detection and prediction.

Heuristech: Heuristech is about dealing with pipeline maintenance the right way.

Lightmass Dynamics: An application framework that easily integrates with any software that manipulates n-dimensional data for real-time simulation or visualization of physical forces.

MorphL AI: MorphL drastically reduces the amount of time required to infuse AI into your applications so you can predict user behaviors, enable personalized digital eхperiences and increase product KPIs.

ReelData AI: AI for aquaculture. Delivers real time weight distributions, feeding analysis, health analysis and growth analysis.

Revelio Labs: Revelio Labs provides an in-depth view into the workforces of companies around the world. We leverage advancements in AI technologies to turn hundreds of millions of online profiles, resumes, and job postings into clear insights. Our clients include: corporate strategists, HR, VCs, and investors.

Shipright: Shipright helps software businesses track customer feedback in one organized place, so they can build outstanding products.

По-прежнему

жду советов какой AI-курс выбрать, отзывы, промокоды и прочее (см. предыдущий пост).

Ссылки:

1) Новые бизнес-модели AI “The New Business of AI (and How It’s Different From Traditional Software)”:

https://a16z.com

2) Какой стартап мне запустить завтра?:

https://habr.com/ru/company/mailru/blog/481256/

Суть статьи:

а) AI это принципиально новый инструмент, который позволит взломать кучу рынков и бизнесов. В аджайл, крутой UX, кастдев, метрики, перфоманс маркетинг уже все умеют, а в AI пока нет.

б) AI открывает окно возможностей для дизраптов. Следующее окно, возможно, будет лет через 10-15 (как ранее был момент доткомов или потом появления смартфонов), поэтому имеет смысл сесть в эту лодку.

в) Сфер применения AI дофига (нет смысла ныть что все хорошие идеи уже реализованы). Это все сферы, где много рутинной повторяющейся работы и много работников. Кассиры, водители, кладовщики, бухгалтеры, трейдеры, колл-центры и даже творческие профессии – журналисты, программисты :grimacing:, музыканты и художники. Попробовать применить AI, всех уволить и перевести на безусловный базовый доход. Ну или появятся новые профессии – разметка данных для нейросетей, колонисты экзопланет или чистое творчество. Раньше технологии развития AI не позволяли заменить человека, сейчас уже позволяют.