A novel, binary information representation that extracts anomaly patters from deep data masses, ideal for many healthcare, wellness, and Anonomous Assured Quality Process Control applications that defeats Data Breaches and provides HIPAA and GDPR compliant security. Doubt it, decrypt the Triad snippet below that contains actual personal information.
Triad AAI and Triad ANI™ Dataspaces
Commercial PDB Repository Advance
Shown above is a Textual Representation of a Universal Binary Information model used to store AI Deep Learning patterns, covering information domains, including language, imaging, music, math, and dynamic systems applications.
It contains actual (real) information, including dozens of records and takes only 1/5 the space of its SQL equivalent. The representation is scalable, so that over 10 petabytes of data can be stored in less than 400 SF of data center space, offering a cost-effective storage solution for healthcare and biotech sectors.
Memory design is storage-component-agnostic, supporting conventional hard disks, SSDs, RAM arrays, or bubble memory, as specified by the user. This flexibility can empower CIOs and R&D Directors to tailor solutions to their specific needs, fostering confidence in adaptable infrastructure.
Upon completion, MSP can operate and license the storage and analytics centers to clients, offering a cost-effective solution that reduces capital expenditures. Licensing this IP allows clients to avoid classifying it as an operating expense, providing a strategic advantage for larger hospital systems seeking enhanced patient data privacy and security. Triad™ optimizes both initial purchase and ongoing operational costs, making it an attractive option for serious buyers.
Say goodbye to data breaches, ransomware, and hacker intrusions. Storage of textual, numeric, and imaging information can be integrated into a single repository that also supports full AI analytics. Data is encrypted at rest, which should reassure healthcare and biotech professionals about data security while supporting full analytics. A small datacenter can support storage capacities in the high-Petabyte to mid-Exabyte range, but zetabyte capacities are also practical and cost-effective.
As a CIO, Director of R&D, or System Analyst, you owe it to your company to learn more about Triad Dataspace™. MSP will respond to serious inquiries for healthcare, wellness, drug, and biological growth applications with approved budgets only and license this secure SAN/AI analytics technology on a first-come, first-served basis, emphasizing exclusivity and partnership potential.
Click Here to learn more about Triad™.
• Does your cloud SAN Repository convert received data into an encrypted format that exceeds HIPAA and GDPR requirements and store data in a format that can't be collected during a Ransomware Attack?
• Can your AI solution offer encrypted storage and full AI query on one integrated platform?
• Want to reduce your overall SAN storage costs by 75% and enhance its security and queriability at the same time?
Jump ahead in record security and analytics for your patients Lifetime Medical Records with a Triad™ ANI solution Store petabytes of data for gigabyte storage costs! Ideal for cloud-based, healthcare SAN applications, healthcare data imaging, and population-level analytics.
All AI Analytics Tools Aren't The Same!
Predictive Large-Language Models (P-LLM-AI) may not be suitable for all knowledge domains because they can produce false answers, known as hallucinations, due to their method of filling in missing information in real-world, dynamic systems. This risk is especially critical in sensitive areas like imaging, pathology, waveform analysis, healthcare surface analytics, and biological agent discovery, where inaccuracies can have serious consequences.
A different approach to AI systems is to learn the ontology of real-world systems and use that to answer hypothetical questions. This method reduces the risk of false positives and false results, which is crucial in healthcare and other life-critical fields, helping you feel more secure and confident in your AI choices.
Being first to the market with an AI that sometimes provides flawed or using narrative warfare techniques to mislead human users, does not address the responsibilities of the people introducing this technology and unleashing it on the general population. Just because a company has a well-known name doesn't guarantee that it has implemented the best and safest approach to AI. Explore ChatGPT in any depth, and the disclaimers and inconsistencies it reports will become very obvious. The public is not allowed to interact with the AI logic engine itself, which means its results are already being intentionally tampered with.
Deep AI can detect higher-dimensional patterns that enable information to cluster itself based on the inherent ontology of the modeled systems. Dynamic systems with a large number of dimensional components can be expressed as behavioral surfaces using a family of transformers as part of a Triad Dataspace™. This unique binary expression is secure and sparse, and it provides real answers to questions in a second or two.
Before committing to broad GUI-based LLM-AI tools, consider how a custom AI tailored to your specific knowledge domain can give you greater control and confidence in your AI investments, making you feel more empowered in your technology choices.
If you would like to have an interesting discussion about the best approach to AI Deep Learning, please get in touch with MSP to discuss your Analytics requirements in the specific knowledge domain vital to your business plan and model.
