Artificial Intelligence
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Supervised learning explained
Supervised learning turns labeled training data into a tuned predictive model
What is TensorFlow? The machine learning library explained
TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning faster and easier
RPA is poised for a big business break-out
Robotic process automation is driving efficiency at enterprises such as State Auto, Berry Appleman & Leiden, American Fidelity Assurance and other companies.
FedEx exec: Blockchain will become a foundational layer – for everything
Like the internet, blockchain will eventually underpin new business models – and the movement in that direction has already begun.
Reinforcement learning explained
Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently
Natural language processing explained
Deep learning has improved machine translation and other NLP tasks by leaps and bounds
Deep learning explained
Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data
What is predictive analytics? Transforming data into future insights
Predictive analytics can help your organization forecast future outcomes based on historical data and analytics techniques such as machine learning.
Financial firms bank on A.I. as pilot projects head to production
While AI is a buzzword in financial services, companies must be sure of a business use case even before putting together an AI dev team.
Machine learning algorithms explained
Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem
New Cortana and Google Assistant updates highlight workplace potential
Microsoft and Google this week both showcased changes to their digital voice assistants designed to make them more useful in the office.
FDA to pilot A.I., consider blockchain, to track and trace food
The FDA plans to pilot artificial intelligence and machine learning technology in its legacy food-screening systems – and it's exploring how to build out blockchain internally and industry-wide to increase the scale, efficiency and...
Businesses to succeed faster in fact-driven economy: Sudheesh Nair, ThoughtSpot
Sudheesh Nair has a new role at ThoughtSpot, the fast growing unicorn in the Silicon Valley. Now, he leads a company that provides solutions in the niche domain of augmented AI, and empowers C-suite executives and front-line employees...
We’re going to see the emergence of RegTech as an industry: Sri Shivananda
Raking in over US$15.4 billion in revenue in the last financial year, PayPal exceeded the US$100 bn mark in total payment volumes in 2017. A tête-à-tête with the man spearheading technology at PayPal, Sri Shivananda, SVP and CTO,...
IBM preps Watson AI services to run on Kubernetes
IBM Watson services arrive in versions that can run on the public cloud or on privately hosted container infrastructure
Top 4 enterprise tech trends to watch in 2019
Security, AI, cloud computing and blockchain are all expected to see significant advances this year.
![CW > In Memoriam 2018 > Luminaries we lost this year [slideshow cover]](https://images.idgesg.net/images/article/2018/12/cw_luminaries_2018_slide_01_cover_lights_by_freedommaster_getty_images-100782416-small.3x2.jpg)
Tech luminaries we lost in 2018
Hailing from five different nations, the 13 remarkable women and men memorialized here had a lasting influence on technology and the world.
The top 10 stories of 2018: Blockchain rises, open source reigns, trust wanes
Optimists can look at 2018 and point to GDPR privacy protections, the launch of blockchain business apps and the creativity of the open-source community as signs technology can lead us to a safe and prosperous future. Meanwhile,...
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