IBM Journey to AI blog

SEPTEMBER 25, 2024

Chain-of-thought (CoT) loops : Network use cases often involve multistep reasoning across multiple data sources. Without proper control, AI agents can enter endless loops, leading to inefficiencies due to incomplete or misunderstood data.

AI Strategy 316

AI Strategy Generative AI AI AI 316

IBM Journey to AI blog

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. The journey starts with sound data.

Generative AI 325

Generative AI AI AI AI Tools 325

AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization.

Machine Learning 126

Machine Learning DevOps Data Scientist Data Quality 126

IBM Journey to AI blog

JUNE 23, 2023

Interpretation and contextualization: Financial reports need to deliver insights beyond the numbers they feature; they should provide meaningful context that aids in interpreting financial data. If poorly executed, these reports can limit our ability to explain the underlying drivers of performance.

Generative AI 189

Generative AI AI AI Artificial Intelligence 189

IBM Journey to AI blog

APRIL 18, 2024

” AGI analyzes relevant code, generates a draft function with comments explaining its logic and allows the programmer to review, optimize and integrate it. Example: While building an e-commerce feature, a programmer tells AGI, “I need a function to calculate shipping costs based on location, weight and method.”

Neural Network 256

Neural Network LLM Algorithm AI 256