Training: Hard Work Pays off for Data/AI Pros
Data and artificial intelligence (AI) professionals are not particularly worried about their jobs or money, but that hasn’t stopped them from learning new skills though.
Tag: Artificial intelligence
Alibaba GitHub Repos Most Active in China
The largest cluster of Linux Foundation AI and Data Foundation project developers is located in China’s time zones. Baidu, Huawei, Tencent are represented on the foundation’s board, but Alibaba has forged a different path, with some of its data projects having been previously moved to the Apache Software Foundation.
Creating Machine Learning Models Takes too Much Time
Once a use case is actually defined, it takes 66% of organizations more than a month to develop an ML model. For 64% of organizations, it takes at least another month to deploy that model.
Data Sharing Key to Success for COVID-19 Data Models
Integrating unstructured data is the top data challenge encountered when developing AI according to 57% of the survey by MIT Technology Review Insights.
How Long Does a Machine Learning Deployment Take?
On average, 40% of companies said it takes more than a month to deploy an ML model into production, 28% do so in eight to 30 days, while only 14% could do so in seven days or less.
AIOps Users Found in the Wild
Adoption figures for AI, ML, and intelligent automation are all over the map depending on how the terms are defined and who is asked about it.
Whose Hardware Will Run Analytics, AI and ML Workloads?
42% of respondents exclusively rely on third-party cloud providers’ hardware built to build AI/ML models, but only 12% will do so three years from now. Instead, a majority will use a combination of both on-premises and public cloud. Many companies may have gone first to cloud providers because they wanted to quickly launch AI/ML activities. These same companies may migrate to on-premises environments for specialized workloads to reduce costs as they scale-up into production or use proprietary data.
Machine Learning Developers Don’t Predict
A majority of developers involved with machine learning do not use models to generate predictions.
Data Scientists, Not Developers, Lead Machine Learning Efforts
51% of data specialists that are doing ML said their models are created by an internal data science team.
Developers Are Ethical But Not Responsible?
73% of developers said they are more excited about AI’s possibilities rather than worried about its dangers.
Favored Processor Architectures for Artificial Intelligence
If you were developing a minimal viable product (MVP) for the consumer software market, would it be for Windows PCs, Macs, Linux machines, iOS and Android devices? No, that would be foolish. Yet, it appears that developers are refusing to choose between CPUs, GPUs and […]