How would you describe the overall market for Machine Learning (ML) / Natural Language Processing (NLP)?
CIO in Education, 1,001 - 5,000 employees
Growing, continuing to evolve.CIO in Services (non-Government), 201 - 500 employees
It is in its infancy, and is more tailored for particular markets and tasks right now, so it's not ubiquitous, or even close to it. We use ML and AI to spot patterns and trends within our patient data that humans may miss, or not recognize, and so far, it's been eye-opening.Worldwide Strategy & Portfolio, Cross Industry (Supply Chain, ESG, Engineering, Customer Experience, Intelligence Automation, ERP) in Manufacturing, 1,001 - 5,000 employees
The applications continue to grow in addition to the technology evolving. The market is one of the fastest growing markets from intelligent automation (digital workers, chat bots, etc), connected automation (IoT), and overall customer experience interactions. Additionally, the appetite to reduce error, costs and increase employee experience/retention results in investment in this technology even or despite and unsure economy. Chief Technology Advisor in Education, 10,001+ employees
Like a lot of other folks, I have been experimenting with ChatGPT. Very powerful platform, and I think it's beginning to provide a glimpse into next-gen tools. Governance of data and logic inputs is critical but difficult to address - the nature and purpose of the tools are to learn and improve, and I can see a paradox emerging between automation and controlling the sources that feed the solutions.Content you might like
Associate Director of Data Science & Analytics in Healthcare and Biotech, 10,001+ employees
Below is a few measure to think about...1) Data Existence (Measure completeness of records and missing-ness by domain)
2) Accessibility (Measure number of reports pulled per month, totals users, number of new ...read more
Cyber Security35%
Cloud Computing/Cloud Migration48%
Artificial Intelligence (AI) and Machine Learning (ML)69%
IoT (Internet of Things)29%
Digital Transformation:31%
WFH/Remote Work15%
Legacy Systems Modernization9%
Data Management11%
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CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.