Architecture Artificial Intelligence IBM Open Source 
CTOvision
DECEMBER 28, 2015
We know you, dear readers, have been tracking the megatrend of artificial intelligence. IBM is also investing heavily in AI, with Watson the most famous result. This part of the market is very likely going to take off, since open source platforms and open cloud API's and services like Prediction.io
CIO Business Intelligence
MAY 12, 2022
Predictive analytics tools blend artificial intelligence and business reporting. Open Source. Alteryx open source options available. Open source core. Open source core. Drag-and-drop Modeler for creating pipelines, IBM integrations. On premises or in IBM Cloud.
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CIO Business Intelligence
MARCH 24, 2022
He’s doing just that on the bank’s IBM Z system mainframes, for which the bank has written some 10 million lines of code over the years. Each houses an IBM z15 system. According to IDC, IBM sold more than 4,300 IBM Z systems in 2020, for approximately $3.5 Z upgrades and open source. M&T, a $6.5
CIO Business Intelligence
JUNE 16, 2022
Open-source options are also available for use by companies that have the developers to support them. Some areas are already using artificial intelligence to speed up workflows through automated classification and clause extraction. . IBM Business Process Manager. Others charge by user or node. Arrayworks.
Dataconomy
MARCH 7, 2023
Understanding of blockchain architecture and protocols A blockchain developer must have a strong understanding of blockchain architecture and protocols. Hyperledger Fabric: Hyperledger Fabric is an open-source blockchain framework designed for enterprise use cases.
CIO Business Intelligence
AUGUST 16, 2023
Companies are looking at Google’s Bard, Anthropic’s Claude, Databricks’ Dolly, Amazon’s Titan, or IBM’s WatsonX, but also open source AI models like Llama 2 from Meta. Open source models are also getting easier to deploy. S&P Global Market Intelligence is looking at them all. “We
CIO Business Intelligence
FEBRUARY 28, 2024
Even in its infancy, gen AI has become an accepted course of action and application, and the most common use cases include automation of IT processes, security and threat detection, supply chain intelligence, and automating customer service and network processes, according to a report released by IBM in January.
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