More Businesses are leveragind data and analytics to gain efficiencies and competitive advantages. However, very few businesses have a clear data and analytics strategy and playbook to guide their businesses forward while embraching digital changes effectively. Otics's applied data and analytics strategy services is a unque offering that aims to consolidate business and IT people and processes within the Data and Analytics context. Together, we have proven that businesses can thrive in a constantly changing digital world that leverages data, analytics and Artificial Intelligence capabilities to reduce costs, increase revenue streams and create advanced customer experiences for the world of today and tomorrow.
1. Applied Strategy at your fingertips
2. Enable fast to market, fast to fail concepts
3. Accelerate development of machine learning model development and operationalization with data streams
4. Integrate outcomes from transactional machine learning models in any technology using Kafka or Redpanda across your organization
TML allows you to scale real-time AI solutions without the heavy compute costs that accompany machine learning models. TML-VIPER can be installed On-Prem to leverage compute power on servers. Whether you make 100 predictions or 100 billion predictions per day, TML-VIPER unique technology gives you the power without the high compute costs.
1. Implement small scale to massive scale solutions
2. Integrate thousands of models in a System of Systems architecture
3. Make predictions in milliseconds using our Hyper-Prediction (HPDE) technology
4. Add machine learning to IoT Edge devices with HPDE technology.
5. SOLVE BUSINESS PROBLEMS WITH TML AND DATA STREAMS!
TML technology is architected using a multi-layer hierarchy, whereby a Data Layer is accessed and analysed by agents in the Analytics Layer. Using the MAADSTML Python library - it can be integrated in almost any technology that stream data to Kafka (or Redpanda) in the cloud or on-prem. This integration allows users to extend these technologies with advanced algorithms, that are created in-memory, without the need for third-party ML libraires like TensorFlow, Scikit, etc thereby reducing the risk from third-party libraries.
1. Ever growing number of technologies to integrate
2. Supercharge your LOB applications with predictive and prescriptive analytics
3. REST API based architecture of all TML products makes predictive and prescriptive analytics accessible
4. Integrate hyper-predictions in Android or iOS Apps with TML java connector
5. Low-cost of TML solutions at scale.
We believe in providing the most amount of data available in order to enable the end user to make good business decisions. Our glassbox approach enables us to provide extensive model reporting and outputs that users can further extend on or use to substantiate their business decisions.
1. Pick and chose your data points to justify your analysis
2. Advanced what-if analysis using reverse proxy allows users to execute machine learning models in real-time
3. PDF reports on machine learning models shows extensive data and provides Model Explainability
4. Model management, security and auditability are core to TML technology
We are Data and Anaytics Strategy Experts that follow a simple process: 1) Define the organizational goals 2) Develop an applied data and analytics strategy that meets the goals 3) Build a data and analytics playbook that sustains the growth and embraces digital changes for continous acceleration and maturity of the business for years to come.
We are TML and Data Stream Science and Kafka experts that follow a simple process: 1) Define the problem 2) Define the methodology that will solve the problem 3) Iterate with multiple solutions to the problem fast 4) Build trust and confidence with the client in the solution 5) Operationalize the solution. 6) Go find another problem to solve for the client.
We build and support TML solutions for our clients using Viper, HPDE, Viperviz. We create business value for customers using data streams. We did it in IoT, Energy and Health Care, Finance, and more.
Headquarters: Toronto, Ontario, Canada
Offices: Toronto | Calgary | Ottawa
E-mail: [email protected]