AI Startup Ideas

Different Category of Services

Services & Ideas in 

• Monitoring & anomaly detection
• Computer vision
• Cognitive insights
• Provide products and services that have readily trained AI models embedded

Ref - Paper Link

There are needs based on customer maturity, data availability, and business priority. You can solve differently / identify and prioritize use cases based on data/business needs / ML expertise.

Sometimes I feel all you need is time/focus/clarity to connect across business + data. Filter signal from chaos is an important skill :)

Keep Exploring!!!

Deep Network of Humans

 

Keep Exploring!!!

Vision Solutions - Interesting Ideas / Products / Observations / Startups

Recycle Segregation

The AMP robotic recycling system powered by an AI algorithm recognized and sorted 50 billion recycling objects, recovering all recyclables from a mixed-material stream at an accuracy of around 100 percent based entirely on image analysis.#computervision #datalabeling pic.twitter.com/pAKExe5j0K

— Keymakr (@keymakr_com) September 21, 2022

Repairs Monitoring with Vision

 

How #AI & #ComputerVision can be used to supervise the quality of human tasks#FutureOfWork #ArtificialIntelligence #IoT@JoannMoretti @Hana_ElSayyed @JolaBurnett @Shi4Tech @AkwyZ @CurieuxExplorer @enilev @anand_narang @labordeolivier @mvollmer1 @Fabriziobustama @PawlowskiMario pic.twitter.com/sYXId2Bb1U

— Franco Ronconi 🇮🇹 (@FrRonconi) September 14, 2022

• Number of Bolts repaired
• Duration of Repair

Monitoring and Surveillance

 

#ComputerVision is redefining surveillance
by @Seeker#AI #Drones #SmartCities #Privacy #Safety

cc: @frronconi pic.twitter.com/IuaG4hwUK4

— Ronald van Loon (@Ronald_vanLoon) September 9, 2022

Arms and Guns Detection

 

Is this a good approach?

US startup ZeroEyes has developed an AI-based computer vision system that detects and mitigates active shooters at schools.

Deployed at multiple sites.

More info on Superinnovators: https://t.co/TGwD19BMz6#computervision #schoolshootings #innovation pic.twitter.com/fJYAhvCuxc

— Charles Carter (@cctech100) September 20, 2022

Animals counting

 

Using AI to count Sheep 🐑🐑

Now livestock farmers and producers can count livestock with the help of #computervision and #AI.

Source: Plainsight#technology #innovation #artificialintelligence pic.twitter.com/cggEIqexoE

— cimplify.ai (@cimplifyai) September 23, 2022

I love the region of interest

• Segmentation
• Contours
• Counting
• Line of Separation

Market Cap and Growth

 

Deep Learning Market is Anticipated to Reach US$ 31.3 Billion by 2027 Registering a CAGR of 25.8%. #artificialintelligence #deeplearning #machinelearning #insight #data #tech #technology #innovation #computerscience #computervision #datascience #engineering #developers pic.twitter.com/HKfE20X1pk

— Welcome.AI (@welcomeai) August 31, 2022

Vision Startups

 

Cool Computer Vision Startups in 2022 https://t.co/H8GiWEEI6F via @MarkTechPost #ArtificialIntelligence #computervision #100DaysOfCode pic.twitter.com/H4YaQ2pxou

— MARKTECHPOST.COM (@Marktechpost) September 14, 2022

Keep Exploring!!!! 

Design Lessons

This link Design Primer is very useful.

I like the complete well-discussed solution, Focused on the big picture, not just syntax :)

• Design the Twitter timeline and search
• Design a web crawler
• Design the data structures for a social network
• Design Amazon's sales rank by category feature
• Design an online chat
• Design an LRU cache
• Design a call center
• Design a parking lot
• Coding Challenges

Keep Exploring!!

Interesting projects and their tech choices

Project #1 - Tech for SaaS built by One Person

• Language - Python, Typescript
• Frameworks - Django, React, NextJS, Celery, Bootstrap 4
• Databases - Clickhouse, PostgresSQL, Redis
• Deployment - Terraform, Docker, Kubernetes, CircleCI

Related Good Read - Link

Project #2 - Raspberry Pi Webcam

Project #3 - Preventing Against Dos Attacks, Good Read - Someone attacked our company

Keep Thinking!!!

Databases - IOT - CES

CES notes on IOT had a interesting tag line posted in MEMSQL blogpost

Tag line copied from the post

Also, vast landscape of DB products in multiple categories (RDBMS, NOSQL, In-memory, Hadoop, Stream processing) check-out 451 research paper. Depending on the application needs you can identify top products to evaluate / get started

Data Platforms Landscape 

Updated Data Platforms Landscape Map – October 2014 http://t.co/qhJawLQhNX Free download - now fully indexed pic.twitter.com/cH3QL5GFcm
— Matt Aslett (@maslett) November 18, 2014

NoSQL LinkedIn Skills Index – December 2014

NoSQL LinkedIn Skills Index – December 2014 http://t.co/bCvR4ipSGG
— Matt Aslett (@maslett) December 18, 2014

Current State

It is remarkable how many database vendors are struggling despite apparently pre-emptively designing their products to be perfect for IoT
— Matt Aslett (@maslett) December 11, 2014

Happy Learning!!!

Interesting Learning Notes

Note #1 - What is difference between performance and scalability problem ?

• Performance problem - Fixing performance issue for a website example - Pageload time is very high for homepage of website
• Scalability problem - Scaling website to support 10X user base than current user base

This post was very useful for above answer Performance v Scalability – For Employers

Note #2 - Read / Write Advantages / Disadvantages for Normalized / Denomarmalized Databases ?

• Normalized - Insert in multiple tables, Highly consistent
• Denormalized - Easy Insert, Consistency issue with updates (Multiple  versions of Records may exist)

I loved reading this post again and again - Data storages and read vs write controversy. Post is Very Simple, intuitive and clear.

Session - Advanced techniques for Web functional testing

• Tip #1 - Changing window size during execution set_window_size
• Tip #2 - Screenshots comparison using needle (Python based)

More Reads

Successful Scalability Principles

Bayesian statistics made simple

Software Carpentry: Lessons Learned

Performance Testing and Profiling: A Virtuous Cycle

Happy Learning!!!

Reading Notes - Test Data Generator, Interesting Reads

Google reader used to be my favourite feed subscription list. After that was removed I tried feedspot, feedly. Both have not provided the same experience but still figuring out alternatives.

Today there were few interesting reads

Note #1 - mockaroo 

• Live web based Test data generator looks promising to generate test data
• Null percentage distribution, data type combinations, CSV, sql multiple data formats
• Real time datatype distribution for near match of test data
• Rest API exposure for Automated data generation

This tool would have consumed a lot of development time to develop intuitive, real world test data cases. Nice Work!!!

Ref - This post  was useful to reach out to mockaroo tool

More Testdata Generation Tools

TestSpicer - test data generation 
Good Test Data - Buy Test Data
Test Data Generation Tools

Note #2 - How to Configure Anti-Virus for SQL Servers 

Note #3 - Good Infographic on Devlandscape 2014 (Checkout big data, NOSQL and DevOps)

More Reads
Test Data Map Design Pattern
Test Data Loader Design Pattern
JSON Generator , which allows to generate JSON files from a template.
CSV Generator , which allows to generate CSV files.

Happy Reading!!!