Sigmoid Analytica.

Sigmoid Analytica.

Information Technology & Services

Kriel, Mpumalanga 370 followers

About us

Sigmoid Analytica Platform enables organizations to stay ahead of the markets by delivering immediate location intelligence capabilities and unparalleled knowledge of macro-economic events taking anywhere in the world. We empower decision makers with an edge to stay ahead of conventional market reports. Macroeconomic indices & Matrices. Get a head start in the commodities market, gain access to economic indicators in advance of national economic reports such as the JSE commodity Index. Anticipate market yields and production in near real-time. Monitor changes in the workforce movement to anticipate operation shutdowns and capacity increase. Independent geographic data analytics to estimate economic movement through construction rate, vehicle counts and assets shadows, quantifying dumps and stockpile levels as estimate for production capacity. Tracking crop yields from remote censored data to estimate supply and forecast periodic crop yields. Supply Chain Analytics. Identify new trade areas to expand into, understand the implications of infrastructure dynamics around your location. Leverage the development of new trade routes in your supply chain planning. Monitor large scale project sites around the clock, from infrastructure construction to powerplant and mining areas. Early Socio & Economic development Indicators Track property development patterns in areas of interest and continuously monitor the true market size as demographics changes happen. Gain an in-depth understanding of business retail centres by analysing immediate customer behaviours such as traffic and visitation frequency.

Website
https://sigmoid-analytica.co.za
Industry
Information Technology & Services
Company size
2-10 employees
Headquarters
Kriel, Mpumalanga
Type
Privately Held
Founded
2019

Locations

Employees at Sigmoid Analytica.

Updates

  • View organization page for Sigmoid Analytica., graphic

    370 followers

    View profile for Veerle van Leemput, graphic

    I talk about R and Shiny 🙋🏻♀️ | Trainer & Consultant | Data, software development & deployment 🚀

    New package: brackets 🥳 Brackets is a wrapper around the brackets.js library and can display tournament brackets in R and Shiny. Perfect to display soccer ⚽, tennis 🎾 , or any other sports tournaments. Round-robin, single elimination, double elimination: all possible. This package has its origin in the CustomiZing WidgetZ course, where I co-develop the package with students, and we decided to open source it as well 😎. I’m officially introducing brackets during a live webinar in a couple of weeks, hosted by Athlyticz, where I will go over how such a package comes into existence, how htmlwidgets works, and I will discuss the features and the data format needed to make your tournament ▶️ https://conta.cc/4ahF3YI If you can’t wait to try it out you can get brackets from GitHub: pak::pak(”hypebright/brackets”) #R #rstats #rshiny

    • Image displaying some functionality of the brackets package in Shiny. A simple tennis tournament, and a grouped soccer tournament.
  • View organization page for Sigmoid Analytica., graphic

    370 followers

    View profile for Leann Chen, graphic

    Grounding LLMs with Knowledge Graphs @ Diffbot

    Graph RAG or vector-based RAG? There's some discussions (debate) around which is better. (but we're not continuing this conversation...) Thanks to Tomaz Bratanic, one of the thought leaders and trailblazers in the graph world with cool applications, we jointly explore a project that realizes and visualizes the idea of"bringing unstructured and structured data" together. You'll see side-by-side comparisons of AI-generated responses between vector-only searches and vector knowledge graph in the video, showing how the latter can outperform the former. Neo4j can store both graph data and text embeddings for vector-based searches, and Diffbot provides verified data from the web — the exact opposite of hallucinated LLM-based sources, so AI applications don't suffer from unreliable outputs. To see the cool network visualization in the app, jump to 3:51 and check out Tomaz and Anej's work. You can always go back and see how we use Diffbot's Article, Natural Language Processing, and Enhance APIs to enrich knowledge graphs with accurate and reliable information. p.s. Who's also going to AI Engineer World's Fair the next 2 days in SF? DM if you're around! #neo4j #diffbot #graphrag

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