Contextual Data Modeling Optimization 
O'Reilly on Data
OCTOBER 19, 2021
Let’s start by considering the job of a non-ML software engineer: writing traditional software deals with well-defined, narrowly-scoped inputs, which the engineer can exhaustively and cleanly model in the code. Not only is data larger, but models—deep learning models in particular—are much larger than before.
CIO Business Intelligence
OCTOBER 13, 2023
SAP Business AI is already deeply embedded into applications and process flows that draw on decades of relevant business data curated from huge customer data sets. We have agreements with more than 25,000 customers to use their data in an anonymized way to train our own models.
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IBM Big Data Hub
APRIL 15, 2024
The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Additionally, these accelerators are pre-integrated with various cloud AI services and recommend the best LLM (large language model) for their domain. Generative AI can create foundation models for assets.
CIO Business Intelligence
SEPTEMBER 25, 2024
Agentic systems An agent is an AI model or software program capable of autonomous decisions or actions. Alignment AI alignment refers to a set of values that models are trained to uphold, such as safety or courtesy. There’s only so much you can do with a prompt if the model has been heavily trained to go against your interests.”
Cloudera
JUNE 11, 2024
More than two-thirds of companies are currently using Generative AI (GenAI) models, such as large language models (LLMs), which can understand and generate human-like text, images, video, music, and even code. However, the true power of these models lies in their ability to adapt to an enterprise’s unique context.
Cloudera
JUNE 13, 2024
Only Cloudera has the ability to help organizations overcome the three barriers to trust in Enterprise AI: Readiness – Can you trust the safety of your proprietary data in public AI models? Reliability – Can you trust that your data quality will yield useful AI results?
Cloudera
JANUARY 30, 2024
As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations.
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