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The challenges of large-scale AI training
To improve the accuracy of AI models, the average size of training datasets has increased by more than 300 times.
How Cloudera aims to accelerate the industrialisation of AI
“Making teams more productive is essential to scaling machine learning capabilities in the enterprise."
Deloitte forms alliance with AI analytics company
The strategic partnership aims to combine the companies capabilities to deliver real-time analytics to businesses across Australia.
TIBCO launches machine learning solutions on AWS
"TIBCO Data Science makes it easy for citizen data scientists to develop code-free workflows to support data preparation and machine learning."
AWS offers devs tiny autonomous vehicles for machine learning
AWS DeepRacer puts reinforcement to the test - see what other machine learning services AWS now offers.
HPE makes acquisition to expand big data market presence
HPE has acquired BlueData with the aim of providing an all-encompassing and easy-to-implement solution for AI/ML and big data analytics.
Verizon Enterprise’s seven global IT trends for 2019
The tech giant has released its own perspective on what IT professionals should be looking at to stay ahead of the global curve.
AI & machine learning fight death with data
Technology is fighting death with data – including machine learning and artificial intelligence.
Using AI and machine learning to protect data
“Having consistently available IT systems is increasingly important to organisations that are responsible for managing, analysing and protecting more and more data points every day."
How organisations can use AI to generate business insights
DataRobot’s automated machine learning enhanced Precision Marketing’s predictive modelling capabilities.
How to leverage cloud for data-driven business ops
The next gen of cloud-based data platform services are flexible and cost-effective so even small organisations can unlock data insights.
Exclusive: Why botnets will swarm IoT devices
“What if these nodes were able to make autonomous decisions with minimal supervision, use their collective intelligence to solve problems?”
Machine learning: Moving from algorithms to enterprise-wide adoption
"Machine learning will be mission-critical to unlocking new business value and measuring performance."
Robotic process automation: The basis of an AI future
AI is sexy, but RPA is right here, right now – and it’s helping Kiwi companies prepare for a future with AI and ML.
Taysols partners with Snowflake for data warehousing
The partnership will let Taysols customers achieve faster time-to-results by removing the complexity and burden of provisioning data warehouses.
Data quality and the democratisation of AI
"Before IT leaders attempt to successfully deploy or conquer an enterprise-wide AI strategy, they must have the capability to bring large datasets together."
Exclusive: Lenovo’s Shayne Harris on the future data centre
Harris says data centres that fail to keep up with the pulse of change will not be able to survive in the future.
The ethics of AI: How this technology can empower your business
Fundamentally AI is used to help automate repetitive tasks within businesses, however, it’s not always quite as easy as flicking a switch.
NVIDIA’s new GPU-acceleration platform for machine learning
NVIDIA’s new open source RAPIDS offering gives performance boost to end-to-end predictive data analytics.
Veritas and Pure Storage partner to enhance AI and ML
Veritas and Pure Storage have teamed up in a bid to aid joint customers make the most of their data for a competitive advantage.
The key to machine learning in NAS solutions
With the power supplied by a GPU, any organisation can leverage the power of AI and machine learning.
Machine learning is a double-edged sword for cyber security
IT departments and security decision-makers need to understand the complexity of AI in cyber security, and how to strike a balance between risk and reward.
Dropbox rolls out intelligent search engine called Nautilus
Dropbox has rolled out a new search engine called Nautilus that aims to not only protect data privacy, but also pave the way for intelligent document ranking and retrieval features.
Hybrid and dedicated clouds to drive machine learning growth
New industry study explores the importance of HPC workloads, hybrid cloud and GPUs in moving machine learning projects into production.