CIO Business Intelligence
MAY 21, 2024
With this model, patients get results almost 80% faster than before. Next, Northwestern and Dell will develop an enhanced multimodal LLM for CAT scans and MRIs and a predictive model for the entire electronic medical record. Instead, Chandrasekaran sees many enterprises evolving beyond the LLM by going small.
CIO Business Intelligence
JUNE 20, 2022
To date, the company, which primarily manufactures elevators for corporate buildings but also has some residential units in its portfolio, also reports a reduction in technician site visits of between 10% and 15% and a drop in call backs of between 10% and 20%. Otis One comprises three tiers, Leonhard says — edge, platform, and enterprise.
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CIO Business Intelligence
MARCH 22, 2022
Nvidia is hoping to make it easier for CIOs building digital twins and machine learning models to secure enterprise computing, and even to speed the adoption of quantum computing with a range of new hardware and software. Nvidia claims it can do so up to 45,000 times faster than traditional numerical prediction models.
CIO Business Intelligence
AUGUST 7, 2023
Initially launched by the wine maker and distributor to facilitate IT service and support, the platform is now being scaled as an enterprise content portal for knowledge capture and sharing, as well for automating end-to-end workflows. When the manufacturing plant started the program, they had a multi-day retreat, which I personally attended.
Ontotext
MAY 25, 2023
The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. One notable observation was the absence of prominent property graph vendors active in the last couple of KGC editions.
Smarten
JUNE 8, 2022
Predictive analytics uses data integrated from appropriate data sources, and augmented analytics allows the business to anticipate production demands, plan for new locations and markets and predict targeted customer buying behavior and changes in product demand across multiple market segments. Anticipating Machine Maintenance Needs.
O'Reilly on Data
JUNE 18, 2019
Even with advances in building robust models, the reality is that noisy data and incomplete data remain the biggest hurdles to effective end-to-end solutions. The problem is even more magnified in the case of structured enterprise data. Machine learning applications rely on three main components: models, data, and compute.
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